Ability of admissions criteria to predict early academic performance among students of health science colleges at King Saud University, Saudi Arabia.

PubMed

Alhadlaq, Adel M; Alshammari, Osama F; Alsager, Saleh M; Neel, Khalid A Fouda; Mohamed, Ashry G

2015-06-01

The aim of this study was to evaluate the ability of admissions criteria at King Saud University (KSU), Riyadh, Saudi Arabia, to predict students' early academic performance at three health science colleges (medicine, dentistry, and pharmacy). A retrospective cohort study was conducted with data from the records of students enrolled in the three colleges from the 2008-09 to 2010-11 academic years. The admissions criteria-high school grade average (HSGA), aptitude test (APT) score, and achievement test (ACT) score-were the independent variables. The dependent variable was the average of students' first- and second-year grade point average (GPA). The results showed that the ACT was a better predictor of the students' early academic performance than the HSGA (β=0.368, β=0.254, respectively). No significant relationship was found between the APT and students' early academic performance (β=-0.019, p>0.01). The ACT was most predictive for pharmacy students (β=0.405), followed by dental students (β =0.392) and medical students (β=0.195). Overall, the current admissions criteria explained only 25.5% of the variance in the students' early academic performance. While the ACT and HSGA were found to be predictive of students' early academic performance in health colleges at KSU, the APT was not a strong predictor. Since the combined current admissions criteria for the health science colleges at KSU were weak predictors of the variance in early academic performance, it may be necessary to consider noncognitive evaluation methods during the admission process.

A Comparative Study to Predict Student’s Performance Using Educational Data Mining Techniques

NASA Astrophysics Data System (ADS)

Uswatun Khasanah, Annisa; Harwati

2017-06-01

Student’s performance prediction is essential to be conducted for a university to prevent student fail. Number of student drop out is one of parameter that can be used to measure student performance and one important point that must be evaluated in Indonesia university accreditation. Data Mining has been widely used to predict student’s performance, and data mining that applied in this field usually called as Educational Data Mining. This study conducted Feature Selection to select high influence attributes with student performance in Department of Industrial Engineering Universitas Islam Indonesia. Then, two popular classification algorithm, Bayesian Network and Decision Tree, were implemented and compared to know the best prediction result. The outcome showed that student’s attendance and GPA in the first semester were in the top rank from all Feature Selection methods, and Bayesian Network is outperforming Decision Tree since it has higher accuracy rate.

Academic Self-Handicapping and Achievement Goals: A Further Examination.

PubMed

Midgley, Carol; Urdan, Tim

2001-01-01

This study extends previous research on the relations among students' personal achievement goals, perceptions of the classroom goal structure, and reports of the use of self-handicapping strategies. Surveys, specific to the math domain, were given to 484 7th-grade students in nine middle schools. Personal performance-avoid goals positively predicted handicapping, whereas personal performance-approach goals did not. Personal task goals negatively predicted handicapping. Perceptions of a performance goal structure positively predicted handicapping, and perceptions of a task goal structure negatively predicted handicapping, independent of personal goals. Median splits used to examine multiple goal profiles revealed that students high in performance-avoid goals used handicapping more than did those low in performance-avoid goals regardless of the level of task goals. Students low in performance-avoid goals and high in task goals handicapped less than those low in both goals. Level of performance-approach goals had little effect on the relation between task goals and handicapping. Copyright 2001 Academic Press.

A Bayesian Performance Prediction Model for Mathematics Education: A Prototypical Approach for Effective Group Composition

ERIC Educational Resources Information Center

Bekele, Rahel; McPherson, Maggie

2011-01-01

This research work presents a Bayesian Performance Prediction Model that was created in order to determine the strength of personality traits in predicting the level of mathematics performance of high school students in Addis Ababa. It is an automated tool that can be used to collect information from students for the purpose of effective group…

THE RELATIONSHIP OF CERTAIN PREDICTION AND SELF-EVALUATION DISCREPANCIES TO ART PERFORMANCE AND ART JUDGMENT.

ERIC Educational Resources Information Center

HARVEY, THEODORE E.

NINTH-GRADE STUDENTS WERE SELECTED AS A SAMPLE TO STUDY THE RELATIONSHIP OF CERTAIN PREDICTION AND SELF-EVALUATION DISCREPANCIES TO ART PERFORMANCE AND ART JUDGMENT. STUDENTS WERE REQUIRED TO DEVELOP AN OIL CRAYON DRAWING, RESULTING FROM AN IMAGINARY SENTENCE SPOKEN TO AND SEEN BY ALL PARTICIPANTS. PREDICTIONS OF PERFORMANCE WERE ASKED PRIOR TO…

The effectiveness of AGU-MCAT in predicting medical student performance in year one of the College of Medicine of the Arabian Gulf University.

PubMed

Alnasir, F A; Jaradat, A A

2011-08-01

To graduate good doctors, medical schools should adopt proper student procedures to select among applicant students. When selecting students, many medical colleges focus solely on their academic achievement on high school examinations, which do not reflect all, important attributes of student. For several years, the College of Medicine and Medical Sciences of the Arabian Gulf University has introduced and administered the AGU-MCAT (Arabian Gulf University Medical College Assessment Test) for screening student applicants. This study aimed to assess the ability of the AGU-MCAT to predict students' performance during their first year college study, as an example of one school's multi-dimensional admissions screening process. The AGU-MCAT is made up of three parts, including a written test on science, a test of students' English language skills and an interview. In the first part, students' science knowledge is tested with 100 multiple choice questions. The English exam assesses students. English reading and listening skills. Lastly, students are interviewed by two faculty members and one senior student to assess their personal qualities. The 138 students who passed the AGU-MCAT in September 2008 and matriculated in the school were studied. Their performance during Year One including their performance on exams in the various disciplines was compared to their achievement on the three AGU-MCAT components. AGU-MCAT's total mark and its science component had the highest linear relationship to students' performance in the various disciplines in Year One, while the strongest predictor of students' performance at the end of Year One was the AGU-MCAT's science test (R2=45.5%). Students' grades in high school did not predict their achievement in Year One. The AGU-MCAT used to screen applicants to the school also predicts students' performance during their first year of medical school.

Predicting College Math Success: Do High School Performance and Gender Matter? Evidence from Sultan Qaboos University in Oman

ERIC Educational Resources Information Center

Islam, M. Mazharul; Al-Ghassani, Asma

2015-01-01

The objective of this study was to evaluate the performance of students of college of Science of Sultan Qaboos University (SQU) in Calculus I course, and examine the predictive validity of student's high school performance and gender for Calculus I success. The data for the study was extracted from students' database maintained by the Deanship of…

Predicting Student Actions in a Procedural Training Environment

ERIC Educational Resources Information Center

Riofrio-Luzcando, Diego; Ramirez, Jaime; Berrocal-Lobo, Marta

2017-01-01

Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…

Admissions Roulette: Predictive Factors for Success in Practice

ERIC Educational Resources Information Center

Pfouts, Jane H.; Henley, H. Carl, Jr.

1977-01-01

A multivariate predictive index of student field performance to be used as an admissions tool in graduate schools of social work is described. It measures the effect on field performance of (1) a measure of the student's intellectual ability, (2) undergraduate school quality, (3) prior work experience, and (4) student sex. (Author/LBH)

The Role of Goal Importance in Predicting University Students' High Academic Performance

ERIC Educational Resources Information Center

Kyle, Vanessa A.; White, Katherine M.; Hyde, Melissa K.; Occhipinti, Stefano

2014-01-01

We examined goal importance, focusing on high, but not exclusive priority goals, in the theory of planned behaviour (TPB) to predict students' academic performance. At the beginning of semester, students in a psychology subject (N = 197) completed TPB and goal importance items for achieving a high grade. Regression analyses revealed partial…

Prediction of Student Performance in Academic and Military Learning Environment: Use of Multiple Linear Regression Predictive Model and Hypothesis Testing

ERIC Educational Resources Information Center

Khan, Wasi Z.; Al Zubaidy, Sarim

2017-01-01

The variance in students' academic performance in a civilian institute and in a military technological institute could be linked to the environment of the competition available to the students. The magnitude of talent, domain of skills and volume of efforts students put are identical in both type of institutes. The significant factor is the…

Executive Functions as Predictors of School Performance and Social Relationships: Primary and Secondary School Students.

PubMed

Zorza, Juan Pablo; Marino, Julián; Acosta Mesas, Alberto

2016-05-12

This study examined the relationship between executive functions (EFs) and school performance in primary and secondary school students aged 8 to 13 years (N = 146, M = 10.4, 45.8% girls). EFs were evaluated using the Trail Making Test (TMT), Verbal Fluency (VF), and the Stroop Test. Students' GPAs and teachers' assessment of academic skills were used to measure school performance. To evaluate the students' social behavior, participants were asked to rate all their classmates' prosocial behavior and nominate three students with whom they preferred to do school activities; teachers also provided evaluations of students' social skills. EF measures explained 41% (p = .003, f 2 = .694) of variability in school performance and 29% (p = .005, f 2 = .401) of variance in social behavior in primary school students. The predictive power of EFs was found to be lower for secondary school students, although the TMT showed significant prediction and explained 13% (p = .004, f 2 = .149) of variance in school performance and 15% (p = .008, f 2 = .176) in peer ratings of prosocial behavior. This paper discusses the relevance of EFs in the school environment and their different predictive power in primary and secondary school students.

Who succeeds at dental school? Factors predicting students' academic performance in a dental school in republic of Korea.

PubMed

Ihm, Jung-Joon; Lee, Gene; Kim, Kack-Kyun; Jang, Ki-Taeg; Jin, Bo-Hyoung

2013-12-01

The purpose of this study was to examine what cognitive and non-cognitive factors were responsible for predicting the academic performance of dental students in a dental school in the Republic of Korea. This school is one of those in Korea that now require applicants to have a bachelor's degree. In terms of cognitive factors, students' undergraduate grade point average (GPA) and Dental Education Eligibility Test (DEET) scores were used, while surveys were conducted to evaluate four non-cognitive measures: locus of control, self-esteem, self-directed learning, and interpersonal skills. A total of 353 students matriculating at Seoul National University School of Dentistry in 2005, 2006, 2007, and 2008 consented to the collection of records and completed the surveys. The main finding was that applicants who scored higher on internal locus of control and self-efficacy were more likely to be academically successful dental students. Self-directed learning was significantly associated with students ranked in the top 50 percent in cumulative GPA. However, students' interpersonal skills were negatively related to their academic performance. In particular, students' lack of achievement could be predicted by monitoring their first-year GPA. Therefore, the identification of those factors to predict dental school performance has implications for the dental curriculum and effective pedagogy in dental education.

A Model for Predicting Student Performance on High-Stakes Assessment

ERIC Educational Resources Information Center

Dammann, Matthew Walter

2010-01-01

This research study examined the use of student achievement on reading and math state assessments to predict success on the science state assessment. Multiple regression analysis was utilized to test the prediction for all students in grades 5 and 8 in a mid-Atlantic state. The prediction model developed from the analysis explored the combined…

Predicting Success in Psychological Statistics Courses.

PubMed

Lester, David

2016-06-01

Many students perform poorly in courses on psychological statistics, and it is useful to be able to predict which students will have difficulties. In a study of 93 undergraduates enrolled in Statistical Methods (18 men, 75 women; M age = 22.0 years, SD = 5.1), performance was significantly associated with sex (female students performed better) and proficiency in algebra in a linear regression analysis. Anxiety about statistics was not associated with course performance, indicating that basic mathematical skills are the best correlate for performance in statistics courses and can usefully be used to stream students into classes by ability. © The Author(s) 2016.

Self-reported assistive technology outcomes and personal characteristics in college students with less-apparent disabilities.

PubMed

Malcolm, Matt P; Roll, Marla C

2017-11-20

The impact of assistive technology (AT) services for college students with less-apparent disabilities is under-reported. Using the Canadian Occupational Performance Measure (COPM), we assessed student Performance and Satisfaction ratings of common academic tasks at the start and end of a semester during which 105 student-clients with less-apparent disabilities received AT services. We examined if COPM scores related to personal characteristics of gender, class-level (e.g., Sophomore), and STEM education; if personal characteristics predicted a student's follow-through with an AT service referral (n=231); and if personal characteristics and initial COPM scores predicted dropout from AT services (n=187). COPM ratings significantly increased in all academic tasks (p<.001). Gender predicted initial Satisfaction (male ratings > female ratings; p=.01), and Performance changes (females were more likely to have a service-meaningful change; p=.02). Higher class-level predicted better follow-through with a referral for AT services (p=.006). Increasing class-level (p=.05) and higher initial studying (p<.006) and reading (p<.029) ratings predicted a lower likelihood for dropout. These findings demonstrate that college students with less-apparent disabilities experience substantial improvements in their self-ratings of academic performance and satisfaction following AT services. Gender, class-level, and initial self-perceived reading and studying abilities may influence if and how the student participates with AT services.

Relationship between Teacher-Student Rapport and High-Stakes Testing Performance in Science

ERIC Educational Resources Information Center

Kimbro, Nathan Shawn

2017-01-01

The purpose of this predictive correlational study was to determine if a predictive relationship existed between teacher-student rapport, as perceived by students, and biology achievement scores. The Teacher-Student Likert Scale Questionnaire was used to measure students' perceptions of rapport with their science instructor. Students' scores on…

The impact of undergraduate occupational therapy students' interpersonal skills on their practice education performance: A pilot study.

PubMed

Yu, Mong-Lin; Brown, Ted; White, Carolynne; Marston, Celia; Thyer, Laura

2018-04-01

Interpersonal skills such as active listening, verbal communication and body language are essential competencies for occupational therapists, and students are expected to demonstrate these skills when completing practice placements. To investigate whether interpersonal skills are predictive of occupational therapy students' practice performance. A cross-sectional study was conducted involving third and fourth year occupational therapy undergraduate students (n = 70). Students' interpersonal skills were measured using the Interpersonal Communication Competence Scale (ICCS), Listening Styles Profile (LSP-R) and Active-Empathic Listening Scale (AELS). Students' practice performances at the mid-way and final points of their placements were measured using the Student Practice Evaluation Form-Revised (SPEF-R). The relationships between students' interpersonal skills and practice performance were examined using univariate and multi-variate regressions. Higher ICCS Interaction Management subscale scores predicted better SPEF-R Self-Management Skills at the mid-way point through practice placements (β = 1.93, SE = 0.76), and better Professional Behaviours (β = 1.28, SE = 0.64) and better Service Evaluation Skills (β = 2.84, SE = 0.95) at the final SPEF-R completion point. Higher ICCS Empathy subscale scores predicted lower SPEF-R Documentation scores at the mid-way point (β = -0.81, SE = 0.38), while higher ICCS Supportiveness subscale scores predicted lower mid-way SPEF-R Service Provision scores (β = -2.84, SE = 1.77). No ICCS subscale scores were predictive of the SPEF-R communication, co-worker communication and information gathering subscale scores. As well, LSP-R and AELS subscale scores were not predictive of the SPEF-R subscale scores. While predictive relationships were not found between occupational therapy students' communication, co-worker communication and information gathering skills, this preliminary evidence indicates that students' interpersonal skills (including interaction management and empathetic supportiveness) were predictive of some notable SPEF-R competencies (including Professional Behaviours, Self-Management, Documentation, Service Provision and Service Evaluation). Therefore, students' exposure to professional interpersonal skills should be incorporated into the curriculum of academic education programs with the aim of better preparing them for practice education. © 2018 Occupational Therapy Australia.

Predicting University Performance in Psychology: The Role of Previous Performance and Discipline-Specific Knowledge

ERIC Educational Resources Information Center

Betts, Lucy R.; Elder, Tracey J.; Hartley, James; Blurton, Anthony

2008-01-01

Recent initiatives to enhance retention and widen participation ensure it is crucial to understand the factors that predict students' performance during their undergraduate degree. The present research used Structural Equation Modeling (SEM) to test three separate models that examined the extent to which British Psychology students' A-level entry…

Predicting Examination Performance Using an Expanded Integrated Hierarchical Model of Test Emotions and Achievement Goals

ERIC Educational Resources Information Center

Putwain, Dave; Deveney, Carolyn

2009-01-01

The aim of this study was to examine an expanded integrative hierarchical model of test emotions and achievement goal orientations in predicting the examination performance of undergraduate students. Achievement goals were theorised as mediating the relationship between test emotions and performance. 120 undergraduate students completed…

The UKCAT-12 study: educational attainment, aptitude test performance, demographic and socio-economic contextual factors as predictors of first year outcome in a cross-sectional collaborative study of 12 UK medical schools.

PubMed

McManus, I C; Dewberry, Chris; Nicholson, Sandra; Dowell, Jonathan S

2013-11-14

Most UK medical schools use aptitude tests during student selection, but large-scale studies of predictive validity are rare. This study assesses the United Kingdom Clinical Aptitude Test (UKCAT), and its four sub-scales, along with measures of educational attainment, individual and contextual socio-economic background factors, as predictors of performance in the first year of medical school training. A prospective study of 4,811 students in 12 UK medical schools taking the UKCAT from 2006 to 2008 as a part of the medical school application, for whom first year medical school examination results were available in 2008 to 2010. UKCAT scores and educational attainment measures (General Certificate of Education (GCE): A-levels, and so on; or Scottish Qualifications Authority (SQA): Scottish Highers, and so on) were significant predictors of outcome. UKCAT predicted outcome better in female students than male students, and better in mature than non-mature students. Incremental validity of UKCAT taking educational attainment into account was significant, but small. Medical school performance was also affected by sex (male students performing less well), ethnicity (non-White students performing less well), and a contextual measure of secondary schooling, students from secondary schools with greater average attainment at A-level (irrespective of public or private sector) performing less well. Multilevel modeling showed no differences between medical schools in predictive ability of the various measures. UKCAT sub-scales predicted similarly, except that Verbal Reasoning correlated positively with performance on Theory examinations, but negatively with Skills assessments. This collaborative study in 12 medical schools shows the power of large-scale studies of medical education for answering previously unanswerable but important questions about medical student selection, education and training. UKCAT has predictive validity as a predictor of medical school outcome, particularly in mature applicants to medical school. UKCAT offers small but significant incremental validity which is operationally valuable where medical schools are making selection decisions based on incomplete measures of educational attainment. The study confirms the validity of using all the existing measures of educational attainment in full at the time of selection decision-making. Contextual measures provide little additional predictive value, except that students from high attaining secondary schools perform less well, an effect previously shown for UK universities in general.

The UKCAT-12 study: educational attainment, aptitude test performance, demographic and socio-economic contextual factors as predictors of first year outcome in a cross-sectional collaborative study of 12 UK medical schools

PubMed Central

2013-01-01

Background Most UK medical schools use aptitude tests during student selection, but large-scale studies of predictive validity are rare. This study assesses the United Kingdom Clinical Aptitude Test (UKCAT), and its four sub-scales, along with measures of educational attainment, individual and contextual socio-economic background factors, as predictors of performance in the first year of medical school training. Methods A prospective study of 4,811 students in 12 UK medical schools taking the UKCAT from 2006 to 2008 as a part of the medical school application, for whom first year medical school examination results were available in 2008 to 2010. Results UKCAT scores and educational attainment measures (General Certificate of Education (GCE): A-levels, and so on; or Scottish Qualifications Authority (SQA): Scottish Highers, and so on) were significant predictors of outcome. UKCAT predicted outcome better in female students than male students, and better in mature than non-mature students. Incremental validity of UKCAT taking educational attainment into account was significant, but small. Medical school performance was also affected by sex (male students performing less well), ethnicity (non-White students performing less well), and a contextual measure of secondary schooling, students from secondary schools with greater average attainment at A-level (irrespective of public or private sector) performing less well. Multilevel modeling showed no differences between medical schools in predictive ability of the various measures. UKCAT sub-scales predicted similarly, except that Verbal Reasoning correlated positively with performance on Theory examinations, but negatively with Skills assessments. Conclusions This collaborative study in 12 medical schools shows the power of large-scale studies of medical education for answering previously unanswerable but important questions about medical student selection, education and training. UKCAT has predictive validity as a predictor of medical school outcome, particularly in mature applicants to medical school. UKCAT offers small but significant incremental validity which is operationally valuable where medical schools are making selection decisions based on incomplete measures of educational attainment. The study confirms the validity of using all the existing measures of educational attainment in full at the time of selection decision-making. Contextual measures provide little additional predictive value, except that students from high attaining secondary schools perform less well, an effect previously shown for UK universities in general. PMID:24229380

Predictive Modeling of Student Performances for Retention and Academic Support in a Diagnostic Medical Sonography Program

ERIC Educational Resources Information Center

Borghese, Peter; Lacey, Sandi

2014-01-01

As part of a retention and academic support program, data was collected to develop a predictive model of student performances in core classes in a Diagnostic Medical Sonography (DMS) program. The research goal was to identify students likely to have difficulty with coursework and provide supplemental tutorial support. The focus was on the…

Academic Performance of First-Year Students at a College of Pharmacy in East Tennessee: Models for Prediction

ERIC Educational Resources Information Center

Clavier, Cheri Whitehead

2013-01-01

With the increase of students applying to pharmacy programs, it is imperative that admissions committees choose appropriate measures to analyze student readiness. The purpose of this research was to identify significant factors that predict the academic performance, defined as grade point average (GPA) at the end of the first professional year, of…

Relations Among Student Attention Behaviors, Teacher Practices, and Beginning Word Reading Skill

PubMed Central

Sáez, Leilani; Folsom, Jessica Sidler; Al Otaiba, Stephanie; Schatschneider, Christopher

2011-01-01

The role of student attention for predicting kindergarten word reading was investigated among 432 students. Using SWAN behavior rating scores, we conducted an exploratory factor analysis, which yielded three distinct factors that reflected selective attention. In this study, we focused on the role of one of these factors, which we labeled attention-memory behaviors, for predicting reading performance. Teacher ratings of attention predicted word reading above and beyond the contribution of phonological awareness and vocabulary knowledge. In addition, the relations between four teacher practices and attention ratings for predicting reading performance were examined. Using HLM, significant interactions between student attention and teacher practices observed during literacy instruction were found. In general, as ratings of attention improved, better kindergarten word reading performance was associated with high levels of classroom behavior management. However, by mid-year, better word reading performance was not associated with high levels of teacher task- orienting. A significant three-way interaction was also found among attention, individualized instruction, and teacher task re-directions. The role of regulating kindergarten student attention to support beginning word reading skill development is discussed. PMID:22207616

Predicting failing performance on a standardized patient clinical performance examination: the importance of communication and professionalism skills deficits.

PubMed

Chang, Anna; Boscardin, Christy; Chou, Calvin L; Loeser, Helen; Hauer, Karen E

2009-10-01

The purpose is to determine which assessment measures identify medical students at risk of failing a clinical performance examination (CPX). Retrospective case-control, multiyear design, contingency table analysis, n = 149. We identified two predictors of CPX failure in patient-physician interaction skills: low clerkship ratings (odds ratio 1.79, P = .008) and student progress review for communication or professionalism concerns (odds ratio 2.64, P = .002). No assessments predicted CPX failure in clinical skills. Performance concerns in communication and professionalism identify students at risk of failing the patient-physician interaction portion of a CPX. This correlation suggests that both faculty and standardized patients can detect noncognitive traits predictive of failing performance. Early identification of these students may allow for development of a structured supplemental curriculum with increased opportunities for practice and feedback. The lack of predictors in the clinical skills portion suggests limited faculty observation or feedback.

An Anatomy Pre-Course Predicts Student Performance in a Professional Veterinary Anatomy Curriculum.

PubMed

McNulty, Margaret A; Lazarus, Michelle D

2018-01-18

Little to no correlation has been identified between previous related undergraduate coursework or outcomes on standardized tests and performance in a veterinary curriculum, including anatomy coursework. Therefore, a relatively simplistic method to predict student performance before entrance would be advantageous to many. The purpose of this study was to evaluate whether there is a correlation between performance in a veterinary anatomy pre-course and subsequent performance within a professional anatomy curriculum. Incoming first-year veterinary students at the Louisiana State University School of Veterinary Medicine were asked to participate in a free weeklong pre-course, before the start of the semester. The pre-course covered the musculoskeletal anatomy of the canine thoracic limb using dissection-based methods. Student performance, as evaluated by test grades in the pre-course, did indeed correlate with test grades in professional veterinary anatomy courses. A significant and positive correlation was identified between pre-course final exam performance and performance on examinations in each of 3 professional anatomy courses. Qualitative analyses of student comments pertaining to their experience within the pre-course indicated differences in the perceived benefits of the pre-course between high-, middle-, and low-performing students. These varied perceptions may provide predictive feedback as well as guidance for supporting lower performing students. Together, these results indicate that performance in a weeklong pre-course covering only a small portion of canine anatomy is a strong predictor of performance within a professional anatomy curriculum. In addition, the pre-course differentially affected student perceptions of their learning experience.

Determining the Drivers of Student Performance in Online Business Courses

ERIC Educational Resources Information Center

Estelami, Hooman

2014-01-01

An emerging question in business education is whether all students would benefit from distance learning and if student performance can be predicted prior to enrollment in an online course based on student characteristics. In this paper, the role of student characteristics on academic performance is examined in the context two different online…

Has the UK Clinical Aptitude Test improved medical student selection?

PubMed

Wright, Sarah R; Bradley, Philip M

2010-11-01

In 2006, the United Kingdom Clinical Aptitude Test (UKCAT) was introduced as a new medical school admissions tool. The aim of this cohort study was to determine whether the UKCAT has made any improvements to the way medical students are selected. Regression analysis was performed in order to study the ability of previous school type and gender to predict UKCAT, personal statement or interview scores in two cohorts of accepted students. The ability of admissions scores and demographic data to predict performance on knowledge and skills examinations was also studied. Previous school type was not a significant predictor of either interview or UKCAT scores amongst students who had been accepted onto the programme (n = 307). However, it was a significant predictor of personal statement score, with students from independent and grammar schools performing better than students from state-maintained schools. Previous school type, personal statements and interviews were not significant predictors of knowledge examination performance. UKCAT scores were significant predictors of knowledge examination performance for all but one examination administered in the first 2 years of medical school. Admissions data explained very little about performance on skills (objective structured clinical examinations [OSCEs]) assessments. The use of personal statements as a basis for selection results in a bias towards students from independent and grammar schools. However, no evidence was found to suggest that students accepted from these schools perform any better than students from maintained schools on Year 1 and 2 medical school examinations. Previous school type did not predict interview or UKCAT scores of accepted students. UKCAT scores are predictive of Year 1 and 2 examination performance at this medical school, whereas interview scores are not. The results of this study challenge claims made by other authors that aptitude tests do not have a place in medical school selection in the UK. © Blackwell Publishing Ltd 2010.

The Impact of Proactive Student-Success Coaching Using Predictive Analytics on Community College Students

ERIC Educational Resources Information Center

Hall, Mark Monroe

2017-01-01

The purpose of this study was to examine the effects of proactive student-success coaching, informed by predictive analytics, on student academic performance and persistence. Specifically, semester GPA and semester-to-semester student persistence were the investigated outcomes. Uniquely, the community college focused the intervention on only…

Factors influencing students' performance in a Brazilian dental school.

PubMed

Silva, Erica Tatiane da; Nunes, Maria de Fátima; Queiroz, Maria Goretti; Leles, Cláudio R

2010-01-01

Comprehensive assessment of students' academic performance plays an important role in educational planning. The aim of this study was to investigate variables that influence student's performance in a retrospective sample including all undergraduate students who entered in a Brazilian dental school, in a 20-year period between 1984 and 2003 (n=1182). Demographic and educational variables were used to predict performance in the overall curriculum and course groups. Cluster analysis (K-means algorithm) categorized students into groups of higher, moderate or lower performance. Clusters of overall performance showed external validity, demonstrated by Chi-square test and ANOVA. Lower performance groups had the smallest number of students in overall performance and course groups clusters, ranging from 11.8% (clinical courses) to 19.2% (basic courses). Students' performance was more satisfactory in dental and clinical courses, rather than basic and non-clinical courses (p<0.001). Better student's performance was predicted by lower time elapsed between completion of high school and dental school admission, female gender, better rank in admission test, class attendance rate and student workload hours in teaching, research and extension (R(2)=0.491). Findings give evidence about predictors of undergraduate students' performance and reinforce the need for curricular reformulation focused on with improvement of integration among courses.

Tracking children's mental states while solving algebra equations.

PubMed

Anderson, John R; Betts, Shawn; Ferris, Jennifer L; Fincham, Jon M

2012-11-01

Behavioral and function magnetic resonance imagery (fMRI) data were combined to infer the mental states of students as they interacted with an intelligent tutoring system. Sixteen children interacted with a computer tutor for solving linear equations over a six-day period (days 0-5), with days 1 and 5 occurring in an fMRI scanner. Hidden Markov model algorithms combined a model of student behavior with multi-voxel imaging pattern data to predict the mental states of students. We separately assessed the algorithms' ability to predict which step in a problem-solving sequence was performed and whether the step was performed correctly. For day 1, the data patterns of other students were used to predict the mental states of a target student. These predictions were improved on day 5 by adding information about the target student's behavioral and imaging data from day 1. Successful tracking of mental states depended on using the combination of a behavioral model and multi-voxel pattern analysis, illustrating the effectiveness of an integrated approach to tracking the cognition of individuals in real time as they perform complex tasks. Copyright © 2011 Wiley Periodicals, Inc.

Do Test Scores of Students Who Have Been Retained Predict Future Performance?

ERIC Educational Resources Information Center

Bonnaig, Joy

2017-01-01

The purpose of this quantitative correlational research was to investigate to what extent 2007 performance of third grade students who had been retained in 2006 for failing to attain proficiency on the Reading and Mathematics Florida Comprehensive Assessment Test (FCAT) predicted their performance in 2010 on the sixth grade Reading and Mathematics…

The Role of Resilience, Delayed Gratification and Stress in Predicting Academic Performance

ERIC Educational Resources Information Center

Cheng, Vivienne; Catling, Jonathan

2015-01-01

Transition to university is an important and potentially stressful life event for students. Previous studies have shown that resilience, delay of gratification and stress can affect the academic performance of students. However, none have shown the effect of these factors in predicting academic performance, hence the current study aimed to look at…

Next-Term Student Performance Prediction: A Recommender Systems Approach

ERIC Educational Resources Information Center

Sweeney, Mack; Rangwala, Huzefa; Lester, Jaime; Johri, Aditya

2016-01-01

An enduring issue in higher education is student retention to successful graduation. National statistics indicate that most higher education institutions have four-year degree completion rates around 50%, or just half of their student populations. While there are prediction models which illuminate what factors assist with college student success,…

Admissions Criteria as Predictors of Academic Performance in a Three-Year Pharmacy Program at a Historically Black Institution

PubMed Central

Parmar, Jayesh R.; Purnell, Miriam; Lang, Lynn A.

2016-01-01

Objective. To determine the ability of University of Maryland Eastern Shore School of Pharmacy’s admissions criteria to predict students’ academic performance in a 3-year pharmacy program and to analyze transferability to African-American students. Methods. Statistical analyses were conducted on retrospective data for 174 students. Didactic and experiential scores were used as measures of academic performance. Results. Pharmacy College Admission Test (PCAT), grade point average (GPA), interview, and observational scores combined with previous pharmacy experience and biochemistry coursework predicted the students' academic performance except second-year (P2) experiential performance. For African-American students, didactic performance positively correlated with PCAT writing subtests, while the experiential performance positively correlated with previous pharmacy experience and observational score. For nonAfrican-American students, didactic performance positively correlated with PCAT multiple-choice subtests, and experiential performance with interview score. The prerequisite GPA positively correlated with both of the student subgroups’ didactic performance. Conclusion. Both PCAT and GPA were predictors of didactic performance, especially in nonAfrican-Americans. Pharmacy experience and observational scores were predictors of experiential performance, especially in African-Americans. PMID:26941432

Predicting Student Success using Analytics in Course Learning Management Systems

DOE Office of Scientific and Technical Information (OSTI.GOV)

Olama, Mohammed M; Thakur, Gautam; McNair, Wade

Educational data analytics is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from the educational context. For example, predicting college student performance is crucial for both the student and educational institutions. It can support timely intervention to prevent students from failing a course, increasing efficacy of advising functions, and improving course completion rate. In this paper, we present the efforts carried out at Oak Ridge National Laboratory (ORNL) toward conducting predictive analytics to academic data collected from 2009 through 2013 and available in one of the most commonly used learning management systems,more » called Moodle. First, we have identified the data features useful for predicting student outcomes such as students scores in homework assignments, quizzes, exams, in addition to their activities in discussion forums and their total GPA at the same term they enrolled in the course. Then, Logistic Regression and Neural Network predictive models are used to identify students as early as possible that are in danger of failing the course they are currently enrolled in. These models compute the likelihood of any given student failing (or passing) the current course. Numerical results are presented to evaluate and compare the performance of the developed models and their predictive accuracy.« less

Predicting student success using analytics in course learning management systems

NASA Astrophysics Data System (ADS)

Olama, Mohammed M.; Thakur, Gautam; McNair, Allen W.; Sukumar, Sreenivas R.

2014-05-01

Educational data analytics is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from the educational context. For example, predicting college student performance is crucial for both the student and educational institutions. It can support timely intervention to prevent students from failing a course, increasing efficacy of advising functions, and improving course completion rate. In this paper, we present the efforts carried out at Oak Ridge National Laboratory (ORNL) toward conducting predictive analytics to academic data collected from 2009 through 2013 and available in one of the most commonly used learning management systems, called Moodle. First, we have identified the data features useful for predicting student outcomes such as students' scores in homework assignments, quizzes, exams, in addition to their activities in discussion forums and their total GPA at the same term they enrolled in the course. Then, Logistic Regression and Neural Network predictive models are used to identify students as early as possible that are in danger of failing the course they are currently enrolled in. These models compute the likelihood of any given student failing (or passing) the current course. Numerical results are presented to evaluate and compare the performance of the developed models and their predictive accuracy.

The Predictive Accuracy of Verbal, Quantitative, and Nonverbal Reasoning Tests: Consequences for Talent Identification and Program Diversity

ERIC Educational Resources Information Center

Lakin, Joni M.; Lohman, David F.

2011-01-01

Effective talent-identification procedures minimize the proportion of students whose subsequent performance indicates that they were mistakenly included in or excluded from the program. Classification errors occur when students who were predicted to excel subsequently do not excel or when students who were not predicted to excel do. Using a…

Predicting Minority Student Performance in the First Medical School Year

PubMed Central

Roman, Stanford A.; Sorenson, James R.; Davis, Walter I.; Erickson, Regina

1979-01-01

Impressions and anecdotal evidence have raised concerns that traditional cognitive measures of past performance may not be predictive of the performance among minority students in medical school. This study assessed the relationship between nine objective measures and actual first year academic performance for cohorts of minority students enrolled in a single medical school between 1973 and 1976. The findings support previous impressions that objective measures together explain less than half of the variance in academic performance. Furthermore, the cumulative undergraduate college average and the competitiveness of the undergraduate college are consistently the strongest predictors of academic performance among this group. PMID:529325

Longitudinal Effects of Teacher and Student Perceptions of Teacher-Student Relationship Qualities on Academic Adjustment

PubMed Central

Hughes, Jan N.

2010-01-01

The shared and unique effects of teacher and student reports of teacher student relationship quality (TSRQ) in second and third grade on academic self views, behavioral engagement, and achievement the following year were investigated in a sample of 714 academically at-risk students. Teacher and student reports of teacher-student support and conflict showed low correspondence. As a block, teacher and student reports of TSRQ predicted all outcomes, above prior performance on that outcome and background variables. Student reports uniquely predicted school belonging, perceived academic competence, and math achievement. Teacher reports uniquely predicted behavioral engagement and child perceived academic competence. Teacher and student reports of the teacher-student relationship assess largely different constructs that predict different outcomes. Implications of findings for practice and research are discussed. PMID:21984843

Characteristics of Students at Risk for Mathematics Difficulties Predicting Arithmetic Word Problem Solving Performance: The Role of Attention, Behavior, and Reading

ERIC Educational Resources Information Center

Jitendra, Asha K.; Corroy, Kelly Cozine; Dupuis, Danielle N.

2013-01-01

The purposes of this study were (a) to evaluate differences in arithmetic word problem solving between high and low at-risk students for mathematics difficulties (MD) and (b) to assess the influence of attention, behavior, reading, and socio-economic status (SES) in predicting the word problem solving performance of third-grade students with MD.…

Predictive validity of pre-admission assessments on medical student performance

PubMed Central

Dabaliz, Al-Awwab; Kaadan, Samy; Dabbagh, M. Marwan; Barakat, Abdulaziz; Shareef, Mohammad Abrar; Al-Tannir, Mohamad; Obeidat, Akef

2017-01-01

Objectives To examine the predictive validity of pre-admission variables on students’ performance in a medical school in Saudi Arabia.  Methods In this retrospective study, we collected admission and college performance data for 737 students in preclinical and clinical years. Data included high school scores and other standardized test scores, such as those of the National Achievement Test and the General Aptitude Test. Additionally, we included the scores of the Test of English as a Foreign Language (TOEFL) and the International English Language Testing System (IELTS) exams. Those datasets were then compared with college performance indicators, namely the cumulative Grade Point Average (cGPA) and progress test, using multivariate linear regression analysis. Results In preclinical years, both the National Achievement Test (p=0.04, B=0.08) and TOEFL (p=0.017, B=0.01) scores were positive predictors of cGPA, whereas the General Aptitude Test (p=0.048, B=-0.05) negatively predicted cGPA. Moreover, none of the pre-admission variables were predictive of progress test performance in the same group. On the other hand, none of the pre-admission variables were predictive of cGPA in clinical years. Overall, cGPA strongly predict-ed students’ progress test performance (p<0.001 and B=19.02). Conclusions Only the National Achievement Test and TOEFL significantly predicted performance in preclinical years. However, these variables do not predict progress test performance, meaning that they do not predict the functional knowledge reflected in the progress test. We report various strengths and deficiencies in the current medical college admission criteria, and call for employing more sensitive and valid ones that predict student performance and functional knowledge, especially in the clinical years. PMID:29176032

Towards Adaptive Educational Assessments: Predicting Student Performance using Temporal Stability and Data Analytics in Learning Management Systems

DOE Office of Scientific and Technical Information (OSTI.GOV)

Thakur, Gautam; Olama, Mohammed M; McNair, Wade

Data-driven assessments and adaptive feedback are becoming a cornerstone research in educational data analytics and involve developing methods for exploring the unique types of data that come from the educational context. For example, predicting college student performance is crucial for both the students and educational institutions. It can support timely intervention to prevent students from failing a course, increasing efficacy of advising functions, and improving course completion rate. In this paper, we present our efforts in using data analytics that enable educationists to design novel data-driven assessment and feedback mechanisms. In order to achieve this objective, we investigate temporal stabilitymore » of students grades and perform predictive analytics on academic data collected from 2009 through 2013 in one of the most commonly used learning management systems, called Moodle. First, we have identified the data features useful for assessments and predicting student outcomes such as students scores in homework assignments, quizzes, exams, in addition to their activities in discussion forums and their total Grade Point Average(GPA) at the same term they enrolled in the course. Second, time series models in both frequency and time domains are applied to characterize the progression as well as overall projections of the grades. In particular, the model analyzed the stability as well as fluctuation of grades among students during the collegiate years (from freshman to senior) and disciplines. Third, Logistic Regression and Neural Network predictive models are used to identify students as early as possible who are in danger of failing the course they are currently enrolled in. These models compute the likelihood of any given student failing (or passing) the current course. The time series analysis indicates that assessments and continuous feedback are critical for freshman and sophomores (even with easy courses) than for seniors, and those assessments may be provided using the predictive models. Numerical results are presented to evaluate and compare the performance of the developed models and their predictive accuracy. Our results show that there are strong ties associated with the first few weeks for coursework and they have an impact on the design and distribution of individual modules.« less

Using self-reported and objective measures of self-control to predict exercise and academic behaviors among first-year university students.

PubMed

Stork, Matthew J; Graham, Jeffrey D; Bray, Steven R; Martin Ginis, Kathleen A

2017-07-01

Thirty students (mean age = 18 ± 0.5 years) completed self-report (Self-Control Scale) and objective (isometric handgrip squeeze performance) measures of self-control, provided their exercise and academic (study/schoolwork) plans for the next month, and then logged these behaviors over the subsequent 4-week period. Trait self-control predicted exercise and academic behavior. Handgrip squeeze performance predicted academic behavior and adherence to academic plans. Further, regression analysis revealed that trait self-control and handgrip performance explained significant variance in academic behavior. These findings provide a new understanding of how different self-control measures can be used to predict first-year students' participation in, and adherence to, exercise and academic behaviors concurrently.

Relations among student attention behaviors, teacher practices, and beginning word reading skill.

PubMed

Sáez, Leilani; Folsom, Jessica Sidler; Al Otaiba, Stephanie; Schatschneider, Christopher

2012-01-01

The role of student attention for predicting kindergarten word reading was investigated among 432 students. Using Strengths and Weaknesses of ADHD Symptoms and Normal Behavior Rating Scale behavior rating scores, the authors conducted an exploratory factor analysis, which yielded three distinct factors that reflected selective attention. In this study, the authors focused on the role of one of these factors, which they labeled attention-memory, for predicting reading performance. Teacher ratings of attention-memory predicted word reading above and beyond the contribution of phonological awareness and vocabulary knowledge. In addition, the relations between four teacher practices and attention ratings for predicting reading performance were examined. Using hierarchical linear modeling, the authors found significant interactions between student attention and teacher practices observed during literacy instruction. In general, as ratings of attention improved, better kindergarten word reading performance was associated with high levels of classroom behavior management. However, better word reading performance was not associated with high levels of teacher task orienting. A significant three-way interaction was also found among attention, individualized instruction, and teacher task redirections. The role of regulating kindergarten student attention to support beginning word reading skill development is discussed.

Modeling Students' Problem Solving Performance in the Computer-Based Mathematics Learning Environment

ERIC Educational Resources Information Center

Lee, Young-Jin

2017-01-01

Purpose: The purpose of this paper is to develop a quantitative model of problem solving performance of students in the computer-based mathematics learning environment. Design/methodology/approach: Regularized logistic regression was used to create a quantitative model of problem solving performance of students that predicts whether students can…

Prediction of Osteopathic Medical School Performance on the basis of MCAT score, GPA, sex, undergraduate major, and undergraduate institution.

PubMed

Dixon, Donna

2012-04-01

The relationships of students' preadmission academic variables, sex, undergraduate major, and undergraduate institution to academic performance in medical school have not been thoroughly examined. To determine the ability of students' preadmission academic variables to predict osteopathic medical school performance and whether students' sex, undergraduate major, or undergraduate institution influence osteopathic medical school performance. The study followed students who graduated from New York College of Osteopathic Medicine of New York Institute of Technology in Old Westbury between 2003 and 2006. Student preadmission data were Medical College Admission Test (MCAT) scores, undergraduate grade point averages (GPAs), sex, undergraduate major, and undergraduate institutional selectivity. Medical school performance variables were GPAs, clinical performance (ie, clinical subject examinations and clerkship evaluations), and scores on the Comprehensive Osteopathic Medical Licensing Examination-USA (COMLEX-USA) Level 1 and Level 2-Clinical Evaluation (CE). Data were analyzed with Pearson product moment correlation coefficients and multivariate linear regression analyses. Differences between student groups were compared with the independent-samples, 2-tailed t test. A total of 737 students were included. All preadmission academic variables, except nonscience undergraduate GPA, were statistically significant predictors of performance on COMLEX-USA Level 1, and all preadmission academic variables were statistically significant predictors of performance on COMLEX-USA Level 2-CE. The MCAT score for biological sciences had the highest correlation among all variables with COMLEX-USA Level 1 performance (Pearson r=0.304; P<.001) and Level 2-CE performance (Pearson r=0.272; P<.001). All preadmission variables were moderately correlated with the mean clinical subject examination scores. The mean clerkship evaluation score was moderately correlated with mean clinical examination results (Pearson r=0.267; P<.001) and COMLEX-USA Level 2-CE performance (Pearson r=0.301; P<.001). Clinical subject examination scores were highly correlated with COMLEX-USA Level 2-CE scores (Pearson r=0.817; P<.001). No statistically significant difference in medical school performance was found between students with science and nonscience undergraduate majors, nor was undergraduate institutional selectivity a factor influencing performance. Students' preadmission academic variables were predictive of osteopathic medical school performance, including GPAs, clinical performance, and COMLEX-USA Level 1 and Level 2-CE results. Clinical performance was predictive of COMLEX-USA Level 2-CE performance.

A Trillion-Dollar Question: What Predicts Student Loan Delinquencies?

ERIC Educational Resources Information Center

Mezza, Alvaro; Sommer, Kamila

2016-01-01

The recent significant increase in student loan delinquencies has generated interest in understanding the key factors predicting the non-performance of these loans. However, despite the large size of the student loan market, existing analyses have been limited by lack of data. This paper studies predictors of student loan delinquencies using a…

Students' Understanding of Cloud and Rainbow Formation and Teachers' Awareness of Students' Performance

ERIC Educational Resources Information Center

Malleus, Elina; Kikas, Eve; Kruus, Sigrid

2016-01-01

This study describes primary school students' knowledge about rainfall, clouds and rainbow formation together with teachers' predictions about students' performance. In our study, primary school students' (N = 177) knowledge about rainfall and rainbow formation was examined using structured interviews with open-ended questions. Primary school…

Predicting Student Grades in Learning Management Systems with Multiple Instance Genetic Programming

ERIC Educational Resources Information Center

Zafra, Amelia; Ventura, Sebastian

2009-01-01

The ability to predict a student's performance could be useful in a great number of different ways associated with university-level learning. In this paper, a grammar guided genetic programming algorithm, G3P-MI, has been applied to predict if the student will fail or pass a certain course and identifies activities to promote learning in a…

Perceived Medical School stress of undergraduate medical students predicts academic performance: an observational study.

PubMed

Kötter, Thomas; Wagner, Josefin; Brüheim, Linda; Voltmer, Edgar

2017-12-16

Medical students are exposed to high amounts of stress. Stress and poor academic performance can become part of a vicious circle. In order to counteract this circularity, it seems important to better understand the relationship between stress and performance during medical education. The most widespread stress questionnaire designed for use in Medical School is the "Perceived Medical School Stress Instrument" (PMSS). It addresses a wide range of stressors, including workload, competition, social isolation and financial worries. Our aim was to examine the relation between the perceived Medical School stress of undergraduate medical students and academic performance. We measured Medical School stress using the PMSS at two different time points (at the end of freshman year and at the end of sophomore year) and matched stress scores together with age and gender to the first medical examination (M1) grade of the students (n = 456). PMSS scores from 2 and 14 months before M1 proved to be significant predictors for medical students' M1 grade. Age and gender also predict academic performance, making older female students with high stress scores a potential risk group for entering the vicious circle of stress and poor academic performance. PMSS sum scores 2 and 14 months before the M1 exam seem to have an independent predictive validity for medical students' M1 grade. More research is needed to identify potential confounders.

Analysis of Factors that Predict Clinical Performance in Medical School

ERIC Educational Resources Information Center

White, Casey B.; Dey, Eric L.; Fantone, Joseph C.

2009-01-01

Academic achievement indices including GPAs and MCAT scores are used to predict the spectrum of medical student academic performance types. However, use of these measures ignores two changes influencing medical school admissions: student diversity and affirmative action, and an increased focus on communication skills. To determine if GPA and MCAT…

Predictors of Achievement When Virtual Manipulatives Are Used for Mathematics Instruction

ERIC Educational Resources Information Center

Moyer-Packenham, Patricia S.; Baker, Joseph; Westenskow, Arla; Anderson-Pence, Katie L.; Shumway, Jessica F.; Jordan, Kerry E.

2014-01-01

The purpose of this study was to determine variables that predict performance when virtual manipulatives are used for mathematics instruction. This study used a quasi-experimental design. This design was used to determine variables that predict student performance on tests of fraction knowledge for third- and fourth-grade students in two treatment…

Predictive Power of the Sources of Primary School Students' Self-Efficacy Beliefs on Their Self-Efficacy Beliefs for Learning and Performance

ERIC Educational Resources Information Center

Arslan, Ali

2012-01-01

The purpose of this study is to reveal the extent to which the sources of 6th- 8th grade students' self-efficacy beliefs predict their self-efficacy beliefs for learning and performance. The study is correlational and was conducted on a total of 1049 students during the fall term of the educational year 2010-2011. The data of the study were…

The Real World Significance of Performance Prediction

ERIC Educational Resources Information Center

Pardos, Zachary A.; Wang, Qing Yang; Trivedi, Shubhendu

2012-01-01

In recent years, the educational data mining and user modeling communities have been aggressively introducing models for predicting student performance on external measures such as standardized tests as well as within-tutor performance. While these models have brought statistically reliable improvement to performance prediction, the real world…

Students' Metacomprehension Knowledge: Components That Predict Comprehension Performance

ERIC Educational Resources Information Center

Zabrucky, Karen M.; Moore, DeWayne; Agler, Lin-Miao Lin; Cummings, Andrea M.

2015-01-01

In the present study, we assessed students' metacomprehension knowledge and examined the components of knowledge most related to comprehension of expository texts. We used the Revised Metacomprehension Scale (RMCS) to investigate the relations between students' metacomprehension knowledge and comprehension performance. Students who evaluated and…

Pre-admission criteria and pre-clinical achievement: Can they predict medical students performance in the clinical phase?

PubMed

Salem, Raneem O; Al-Mously, Najwa; AlFadil, Sara; Baalash, Amal

2016-01-01

Various factors affect medical students' performance during clinical phase. Identifying these factors would help in mentoring weak students and help in selection process for residency programmes. Our study objective is to evaluate the impact of pre-admission criteria, and pre-clinical grade point average (GPA) on undergraduate medical students' performance during clinical phase. This study has a cross-sectional design that includes fifth- and sixth-year female medical students (71). Data of clinical and pre-clinical GPA in medical school and pre-admission to medical school tests scores were collected. A significant correlation between clinical GPA with the pre-clinical GPA was observed (p < 0.05). Such significant correlation was not seen with other variables under study. A regression analysis was performed, and the only significant predictor of students clinical performance was the pre-clinical GPA (p < 0.001). However, no significant difference between students' clinical and pre-clinical GPA for both cohorts was observed (p > 0.05). Pre-clinical GPA is strongly correlated with and can predict medical students' performance during clinical years. Our study highlighted the importance of evaluating the academic performances of students in pre-clinical years before they move into clinical years in order to identify weak students to mentor them and monitor their progress.

Test anxiety and academic performance in chiropractic students.

PubMed

Zhang, Niu; Henderson, Charles N R

2014-01-01

Objective : We assessed the level of students' test anxiety, and the relationship between test anxiety and academic performance. Methods : We recruited 166 third-quarter students. The Test Anxiety Inventory (TAI) was administered to all participants. Total scores from written examinations and objective structured clinical examinations (OSCEs) were used as response variables. Results : Multiple regression analysis shows that there was a modest, but statistically significant negative correlation between TAI scores and written exam scores, but not OSCE scores. Worry and emotionality were the best predictive models for written exam scores. Mean total anxiety and emotionality scores for females were significantly higher than those for males, but not worry scores. Conclusion : Moderate-to-high test anxiety was observed in 85% of the chiropractic students examined. However, total test anxiety, as measured by the TAI score, was a very weak predictive model for written exam performance. Multiple regression analysis demonstrated that replacing total anxiety (TAI) with worry and emotionality (TAI subscales) produces a much more effective predictive model of written exam performance. Sex, age, highest current academic degree, and ethnicity contributed little additional predictive power in either regression model. Moreover, TAI scores were not found to be statistically significant predictors of physical exam skill performance, as measured by OSCEs.

Evaluating the Predictive Value of Growth Prediction Models

ERIC Educational Resources Information Center

Murphy, Daniel L.; Gaertner, Matthew N.

2014-01-01

This study evaluates four growth prediction models--projection, student growth percentile, trajectory, and transition table--commonly used to forecast (and give schools credit for) middle school students' future proficiency. Analyses focused on vertically scaled summative mathematics assessments, and two performance standards conditions (high…

Investigating General Chemistry Students' Metacognitive Monitoring of Their Exam Performance by Measuring Postdiction Accuracies over Time

ERIC Educational Resources Information Center

Hawker, Morgan J.; Dysleski, Lisa; Rickey, Dawn

2016-01-01

Metacognitive monitoring of one's own understanding plays a key role in learning. An aspect of metacognitive monitoring can be measured by comparing a student's prediction or postdiction of performance (a judgment made before or after completing the relevant task) with the student's actual performance. In this study, we investigated students'…

Examining Predictive Validity of Oral Reading Fluency Slope in Upper Elementary Grades Using Quantile Regression.

PubMed

Cho, Eunsoo; Capin, Philip; Roberts, Greg; Vaughn, Sharon

2017-07-01

Within multitiered instructional delivery models, progress monitoring is a key mechanism for determining whether a child demonstrates an adequate response to instruction. One measure commonly used to monitor the reading progress of students is oral reading fluency (ORF). This study examined the extent to which ORF slope predicts reading comprehension outcomes for fifth-grade struggling readers ( n = 102) participating in an intensive reading intervention. Quantile regression models showed that ORF slope significantly predicted performance on a sentence-level fluency and comprehension assessment, regardless of the students' reading skills, controlling for initial ORF performance. However, ORF slope was differentially predictive of a passage-level comprehension assessment based on students' reading skills when controlling for initial ORF status. Results showed that ORF explained unique variance for struggling readers whose posttest performance was at the upper quantiles at the end of the reading intervention, but slope was not a significant predictor of passage-level comprehension for students whose reading problems were the most difficult to remediate.

Basic Pharmaceutical Sciences Examination as a Predictor of Student Performance during Clinical Training.

ERIC Educational Resources Information Center

Fassett, William E.; Campbell, William H.

1984-01-01

A comparison of Basic Pharmaceutical Sciences Examination (BPSE) results with student performance evaluations in core clerkships, institutional and community externships, didactic and clinical courses, and related basic science coursework revealed the BPSE does not predict student performance during clinical instruction. (MSE)

Using Student Modeling to Estimate Student Knowledge Retention

ERIC Educational Resources Information Center

Wang, Yutao; Beck, Joseph E.

2012-01-01

The goal of predicting student behavior on the immediate next action has been investigated by researchers for many years. However, a fair question is whether this research question is worth all of the attention it has received. This paper investigates predicting student performance after a delay of 5 to 10 days, to determine whether, and when, the…

Sexual victimization history predicts academic performance in college women.

PubMed

Baker, Majel R; Frazier, Patricia A; Greer, Christiaan; Paulsen, Jacob A; Howard, Kelli; Meredith, Liza N; Anders, Samantha L; Shallcross, Sandra L

2016-11-01

College women frequently report having experienced sexual victimization (SV) in their lifetime, including child sexual abuse and adolescent/adult sexual assault. Although the harmful mental health sequelae of SV have been extensively studied, recent research suggests that SV is also a risk factor for poorer college academic performance. The current studies examined whether exposure to SV uniquely predicted poorer college academic performance, even beyond contributions from three well-established predictors of academic performance: high school rank, composite standardized test scores (i.e., American College Testing [ACT]), and conscientiousness. Study 1 analyzed longitudinal data from a sample of female college students (N = 192) who were assessed at the beginning and end of one semester. SV predicted poorer cumulative end-of-semester grade point average (GPA) while controlling for well-established predictors of academic performance. Study 2 replicated these findings in a second longitudinal study of female college students (N = 390) and extended the analyses to include follow-up data on the freshmen and sophomore students (n = 206) 4 years later. SV predicted students' GPA in their final term at the university above the contributions of well-established academic predictors, and it was the only factor related to leaving college. These findings highlight the importance of expanding the scope of outcomes of SV to include academic performance, and they underscore the need to assess SV and other adverse experiences on college campuses to target students who may be at risk of poor performance or leaving college. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Modeling student success in engineering education

NASA Astrophysics Data System (ADS)

Jin, Qu

In order for the United States to maintain its global competitiveness, the long-term success of our engineering students in specific courses, programs, and colleges is now, more than ever, an extremely high priority. Numerous studies have focused on factors that impact student success, namely academic performance, retention, and/or graduation. However, there are only a limited number of works that have systematically developed models to investigate important factors and to predict student success in engineering. Therefore, this research presents three separate but highly connected investigations to address this gap. The first investigation involves explaining and predicting engineering students' success in Calculus I courses using statistical models. The participants were more than 4000 first-year engineering students (cohort years 2004 - 2008) who enrolled in Calculus I courses during the first semester in a large Midwestern university. Predictions from statistical models were proposed to be used to place engineering students into calculus courses. The success rates were improved by 12% in Calculus IA using predictions from models developed over traditional placement method. The results showed that these statistical models provided a more accurate calculus placement method than traditional placement methods and help improve success rates in those courses. In the second investigation, multi-outcome and single-outcome neural network models were designed to understand and to predict first-year retention and first-year GPA of engineering students. The participants were more than 3000 first year engineering students (cohort years 2004 - 2005) enrolled in a large Midwestern university. The independent variables include both high school academic performance factors and affective factors measured prior to entry. The prediction performances of the multi-outcome and single-outcome models were comparable. The ability to predict cumulative GPA at the end of an engineering student's first year of college was about a half of a grade point for both models. The predictors of retention and cumulative GPA while being similar differ in that high school academic metrics play a more important role in predicting cumulative GPA with the affective measures playing a more important role in predicting retention. In the last investigation, multi-outcome neural network models were used to understand and to predict engineering students' retention, GPA, and graduation from entry to departure. The participants were more than 4000 engineering students (cohort years 2004 - 2006) enrolled in a large Midwestern university. Different patterns of important predictors were identified for GPA, retention, and graduation. Overall, this research explores the feasibility of using modeling to enhance a student's educational experience in engineering. Student success modeling was used to identify the most important cognitive and affective predictors for a student's first calculus course retention, GPA, and graduation. The results suggest that the statistical modeling methods have great potential to assist decision making and help ensure student success in engineering education.

The ‘unskilled and unaware’ effect is linear in a real-world setting

PubMed Central

Sawdon, Marina; Finn, Gabrielle

2014-01-01

Self-assessment ability in medical students and practising physicians is generally poor, yet essential for academic progress and professional development. The aim of this study was to determine undergraduate medical students' ability to self-assess their exam performance accurately in a real-world, high-stakes exam setting, something not previously investigated. Year 1 and Year 2 medical students (n = 74) participated in a self-assessment exercise. Students predicted their exam grade (%) on the anatomy practical exam. This exercise was completed online immediately after the exam. Students' predicted exam grades were correlated with their actual attained exam grades using a Pearson's correlation. Demographic data were analysed using an independent t-test. A negative correlation was found between students' overall predicted and attained exam grades (P < 0.0001). There was a significant difference between the students' predicted grades and actual grades in the bottom, 3rd and top (P < 0.0001), but not 2nd quartiles of participants. There was no relationship between the students' entry status into medical school and self-assessment ability (Year 1: P = 0.112; Year 2: P = 0.236) or between males and females (Year 1: P = 0.174). However, a relationship was determined for these variables in Year 2 (P = 0.022). The number of hours of additional self-directed learning undertaken did not influence students' self-assessment in both years. Our results demonstrate the ‘unskilled and unaware’ phenomenon in a real-world, high-stakes and practice-related setting. Students in all quartiles were unable to self-assess their exam performance, except for a group of mid-range students in the 2nd quartile. Poor performers were shown to overestimate their ability and, conversely, high achievers to underestimate their performance. We present evidence of a strong, significant linear relationship between medical students' ability to self-assess their performance in an anatomy practical exam, and their actual performance; in a real world setting. Despite the limited ability to self-assess reported in the literature, our results may inform approaches to revalidation, which currently frequently rely on an ability to self-assess. PMID:23781887

Can performance on summative evaluation of wax-added dental anatomy projects be better predicted from the combination of supervised and unsupervised practice than from supervised practice alone?

PubMed

Radjaeipour, G; Chambers, D W; Geissberger, M

2016-11-01

The study explored the effects of adding student-directed projects in pre-clinical dental anatomy laboratory on improving the predictability of students' eventual performance on summative evaluation exercises, given the presence of intervening faculty-controlled, in-class practice. All students from four consecutive classes (n = 555) completed wax-added home projects (HP), spending as much or as little time as desired and receiving no faculty feedback; followed by similar laboratory projects (LP) with time limits and feedback; and then summative practical projects (PP) in a timed format but without faculty feedback. Path analysis was used to assess if the student-directed HP had any effect over and above the laboratory projects. Average scores were HP = 0.785 (SD = 0.089); LP = 0.736 (SD = 0.092); and PP = 0.743 (SD = 0.108). Path analysis was applied to show the effects of including a student-controlled home practice exercise on summative exercise performance. HP contributed 57% direct effect and 37% mediated effect through the LP condition. Student-directed home practice provided a measureable improvement in ability to predict eventual performance in summative test cases over and above the predictive contribution of intervening faculty-controlled practice conditions. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Noncognitive Variables to Predict Academic Success among Junior Year Baccalaureate Nursing Students

ERIC Educational Resources Information Center

Smith, Ellen M. T.

2017-01-01

An equitable predictor of academic success is needed as nursing education strives toward comprehensive preparation of diverse nursing students. The purpose of this study was to discover how Sedlacek's (2004a) Noncognitive Questionnaire (NCQ) and Duckworth & Quinn's (2009) Grit-S predicted baccalaureate nursing student academic performance and…

A Five-Stage Prediction-Observation-Explanation Inquiry-Based Learning Model to Improve Students' Learning Performance in Science Courses

ERIC Educational Resources Information Center

Hsiao, Hsien-Sheng; Chen, Jyun-Chen; Hong, Jon-Chao; Chen, Po-Hsi; Lu, Chow-Chin; Chen, Sherry Y.

2017-01-01

A five-stage prediction-observation-explanation inquiry-based learning (FPOEIL) model was developed to improve students' scientific learning performance. In order to intensify the science learning effect, the repertory grid technology-assisted learning (RGTL) approach and the collaborative learning (CL) approach were utilized. A quasi-experimental…

Using First-Grade Teacher Ratings to Predict Third-Grade English Language Arts and Mathematics Achievement on a High-Stakes Statewide Assessment

ERIC Educational Resources Information Center

Gallant, Dorinda J.

2013-01-01

Early childhood professional organizations support teachers as the best assessors of students' academic, social, emotional, and physical development. This study investigates the predictive nature of teacher ratings of first-grade students' performance on a standards-based curriculum-embedded performance assessment within the context of a state…

Accounting for Slipping and Other False Negatives in Logistic Models of Student Learning

ERIC Educational Resources Information Center

MacLellan, Christopher J.; Liu, Ran; Koedinger, Kenneth R.

2015-01-01

Additive Factors Model (AFM) and Performance Factors Analysis (PFA) are two popular models of student learning that employ logistic regression to estimate parameters and predict performance. This is in contrast to Bayesian Knowledge Tracing (BKT) which uses a Hidden Markov Model formalism. While all three models tend to make similar predictions,…

Correlation and Predictive Relationship between Self-Determination Instruction and Academic Performance of Students with Disabilities

ERIC Educational Resources Information Center

Chao, Pen-Chiang; Chou, Yu-Chi

2017-01-01

The purpose of this study was to investigate the correlation and probable predictive relationship between self-determination skills taught by special education teachers and the academic performance of students with disabilities from junior high schools in Taiwan. The subjects included teachers from resource rooms and self-contained classrooms (n =…

Could Learning Outcomes of the First Course in Accounting Predict Overall Academic Performance?

ERIC Educational Resources Information Center

Alanzi, Khalid A.; Alfraih, Mishari M.

2017-01-01

Purpose: This study aims to question whether learning outcomes of the first course in accounting could predict the overall academic performance of accounting students as measured by their graduating grade point average (GPA). Design/methodology/approach The sample of the present study was drawn from accounting students who were graduated during…

The relationship of level of positive mental health with current mental disorders in predicting suicidal behavior and academic impairment in college students.

PubMed

Keyes, Corey L M; Eisenberg, Daniel; Perry, Geraldine S; Dube, Shanta R; Kroenke, Kurt; Dhingra, Satvinder S

2012-01-01

To investigate whether level of positive mental health complements mental illness in predicting students at risk for suicidal behavior and impaired academic performance. A sample of 5,689 college students participated in the 2007 Healthy Minds Study and completed an Internet survey that included the Mental Health Continuum-Short Form and the Patient Health Questionnaire screening scales for depression and anxiety disorders, questions about suicide ideation, plans, and attempts, and academic impairment. Just under half (49.3%) of students were flourishing and did not screen positive for a mental disorder. Among students who did, and those who did not, screen for a mental disorder, suicidal behavior and impaired academic performance were lowest in those with flourishing, higher among those with moderate, and highest in those with languishing mental health. Positive mental health complements mental disorder screening in mental health surveillance and prediction of suicidal behavior and impairment of academic performance.

Unmet Expectations: Why Is There Such a Difference between Student Expectations and Classroom Performance?

ERIC Educational Resources Information Center

Stinson, Terrye A.; Zhao, Xiaofeng

2008-01-01

Past studies indicate that students are frequently poor judges of their likely academic performance in the classroom. The difficulty a student faces in accurately predicting performance on a classroom exam may be due to unrealistic optimism or may be due to an inability to self-evaluate academic performance, but the resulting disconnect between…

An Adaptive Model of Student Performance Using Inverse Bayes

ERIC Educational Resources Information Center

Lang, Charles

2014-01-01

This article proposes a coherent framework for the use of Inverse Bayesian estimation to summarize and make predictions about student behaviour in adaptive educational settings. The Inverse Bayes Filter utilizes Bayes theorem to estimate the relative impact of contextual factors and internal student factors on student performance using time series…

Predicting Students' Writing Performance on the NAEP from Student- and State-Level Variables

ERIC Educational Resources Information Center

Mo, Ya; Troia, Gary A.

2017-01-01

This study examines the relationship between students' demographic background and their experiences with writing at school, the alignment between state and National Assessment of Educational Progress (NAEP) direct writing assessments, and students' NAEP writing performance. The study utilizes primary data collection via content analysis of writing…

Comment Data Mining to Estimate Student Performance Considering Consecutive Lessons

ERIC Educational Resources Information Center

Sorour, Shaymaa E.; Goda, Kazumasa; Mine, Tsunenori

2017-01-01

The purpose of this study is to examine different formats of comment data to predict student performance. Having students write comment data after every lesson can reflect students' learning attitudes, tendencies and learning activities involved with the lesson. In this research, Latent Dirichlet Allocation (LDA) and Probabilistic Latent Semantic…

How do gender and anxiety affect students' self-assessment and actual performance on a high-stakes clinical skills examination?

PubMed

Colbert-Getz, Jorie M; Fleishman, Carol; Jung, Julianna; Shilkofski, Nicole

2013-01-01

Research suggests that medical students are not accurate in self-assessment, but it is not clear whether students over- or underestimate their skills or how certain characteristics correlate with accuracy in self-assessment. The goal of this study was to determine the effect of gender and anxiety on accuracy of students' self-assessment and on actual performance in the context of a high-stakes assessment. Prior to their fourth year of medical school, two classes of medical students at Johns Hopkins University School of Medicine completed a required clinical skills exam in fall 2010 and 2011, respectively. Two hundred two students rated their anxiety in anticipation of the exam and predicted their overall scores in the history taking and physical examination performance domains. A self-assessment deviation score was calculated by subtracting each student's predicted score from his or her score as rated by standardized patients. When students self-assessed their data gathering performance, there was a weak negative correlation between their predicted scores and their actual scores on the examination. Additionally, there was an interaction effect of anxiety and gender on both self-assessment deviation scores and actual performance. Specifically, females with high anxiety were more accurate in self-assessment and achieved higher actual scores compared with males with high anxiety. No differences by gender emerged for students with moderate or low anxiety. Educators should take into account not only gender but also the role of emotion, in this case anxiety, when planning interventions to help improve accuracy of students' self-assessment.

Predicting academic performance and clinical competency for international dental students: seeking the most efficient and effective measures.

PubMed

Stacey, D Graham; Whittaker, John M

2005-02-01

Measures used in the selection of international dental students to a U.S. D.D.S. program were examined to identify the grouping that most effectively and efficiently predicted academic performance and clinical competency. Archival records from the International Dental Program (IDP) at Loma Linda University provided data on 171 students who had trained in countries outside the United States. The students sought admission to the D.D.S. degree program, successful completion of which qualified them to sit for U.S. licensure. As with most dental schools, competition is high for admission to the D.D.S. program. The study's goal was to identify what measures contributed to a fair and accurate selection process for dental school applicants from other nations. Multiple regression analyses identified National Board Part II and dexterity measures as significant predictors of academic performance and clinical competency. National Board Part I, TOEFL, and faculty interviews added no significant additional help in predicting eventual academic performance and clinical competency.

The Predictive Validity of the Minnesota Reading Assessment for Students in Postsecondary Vocational Education Programs.

ERIC Educational Resources Information Center

Brown, James M.; Chang, Gerald

1982-01-01

The predictive validity of the Minnesota Reading Assessment (MRA) when used to project potential performance of postsecondary vocational-technical education students was examined. Findings confirmed the MRA to be a valid predictor, although the error in prediction varied between the criterion variables. (Author/GK)

Expectancy Theory as a Predictor of Grade-Point Averages, Satisfaction, and Participation in the College Environment. ASHE 1983 Annual Meeting Paper.

ERIC Educational Resources Information Center

Lincoln, Yvonna S.; And Others

The ability of Vroom's expectancy motivation theory to predict student satisfaction with the college environment, student participation at school, and student academic performance was studied. Specific objectives of the study were as follows: to test the ability of Vroom's valence model to predict student satisfaction, to test the ability of…

Diagnostic Performance 1 H after Simulation Training Predicts Learning

ERIC Educational Resources Information Center

Consoli, Anna; Fraser, Kristin; Ma, Irene; Sobczak, Matthew; Wright, Bruce; McLaughlin, Kevin

2013-01-01

Although simulation training improves post-training performance, it is unclear how well performance soon after simulation training predicts longer term outcomes (i.e., learning). Here our objective was to assess the predictive value of performance 1 h post-training of performance 6 weeks later. We trained 84 first year medical students a simulated…

[Academic performance in first year medical students: an explanatory multivariate model].

PubMed

Urrutia Aguilar, María Esther; Ortiz León, Silvia; Fouilloux Morales, Claudia; Ponce Rosas, Efrén Raúl; Guevara Guzmán, Rosalinda

2014-12-01

Current education is focused in intellectual, affective, and ethical aspects, thus acknowledging their significance in students´ metacognition. Nowadays, it is known that an adequate and motivating environment together with a positive attitude towards studies is fundamental to induce learning. Medical students are under multiple stressful, academic, personal, and vocational situations. To identify psychosocial, vocational, and academic variables of 2010-2011 first year medical students at UNAM that may help predict their academic performance. Academic surveys of psychological and vocational factors were applied; an academic follow-up was carried out to obtain a multivariate model. The data were analyzed considering descriptive, comparative, correlative, and predictive statistics. The main variables that affect students´ academic performance are related to previous knowledge and to psychological variables. The results show the significance of implementing institutional programs to support students throughout their college adaptation.

Examination of Substance Use, Risk Factors, and Protective Factors on Student Academic Test Score Performance.

PubMed

Arthur, Michael W; Brown, Eric C; Briney, John S; Hawkins, J David; Abbott, Robert D; Catalano, Richard F; Becker, Linda; Langer, Michael; Mueller, Martin T

2015-08-01

School administrators and teachers face difficult decisions about how best to use school resources to meet academic achievement goals. Many are hesitant to adopt prevention curricula that are not focused directly on academic achievement. Yet, some have hypothesized that prevention curricula can remove barriers to learning and, thus, promote achievement. We examined relationships among school levels of student substance use and risk and protective factors that predict adolescent problem behaviors and achievement test performance. Hierarchical generalized linear models were used to predict associations involving school-averaged levels of substance use and risk and protective factors and students' likelihood of meeting achievement test standards on the Washington Assessment of Student Learning, statistically controlling for demographic and economic factors known to be associated with achievement. Levels of substance use and risk/protective factors predicted the academic test score performance of students. Many of these effects remained significant even after controlling for model covariates. Implementing prevention programs that target empirically identified risk and protective factors has the potential to have a favorable effect on students' academic achievement. © 2015, American School Health Association.

Analysis of Student Performance in Large-Enrollment Life Science Courses

ERIC Educational Resources Information Center

Creech, Leah Renee; Sweeder, Ryan D.

2012-01-01

This study examined the historical performance of students at Michigan State University in 12 life sciences courses over 13 yr to find variables impacting student success. Hierarchical linear modeling predicted 25.0-62.8% of the variance in students' grades in the courses analyzed. The primary predictor of a student's course grade was his or her…

Predicting the educational performance of Isfahan University students of medical sciences based on their behaviour profile, mental health and demographic characteristic.

PubMed

Samouei, Rahele; Fooladvand, Maryam; Janghorban, Shahla; Khorvash, Fariba

2015-01-01

The issue of students' academic failure is one of the most important educational, economic, and social issues. Cognizance of the factors related to academic downfall is so efficient in its prevention and control and leads to protecting governmental assets and labor force. In order to achieve this goal, this study intends to determine the predictive factors of the students' academic performance in Isfahan University of Medical Sciences in terms of their personality profile, mental health, and their demographic characteristics. This study was a descriptive-correlation study on 771 students who entered Isfahan University of Medical Sciences between 2005 and 2007. The information was gathered through using the students' educational and clinical files (for measuring personality characteristics and mental health) and SAMA Software (To get the mean scores). Minnesota Multiphasic Personality Inventory short form and General Health Questionnaire were used for collecting clinical data. The data were analyzed using SPSS 15 (stepwise regression coefficient, variance analysis, Student's t-test, and Spearman correlation coefficient). The results showed that the aforementioned students obtained a normal average for their personality profile and mental health indicators. Of all the reviewed variables, education, age, gender, depression, and hypochondria were the predictive factors of the students' educational performance. It could be concluded that some of the personality features, mental health indicators, and personality profile play such a significant role in the students' educational life that the disorder in any of them affects the students' educational performance and academic failure.

Success-factors in transition to university mathematics

NASA Astrophysics Data System (ADS)

Bengmark, S.; Thunberg, H.; Winberg, T. M.

2017-11-01

This study examines different factors' relative importance for students' performance in the transition to university mathematics. Students' characteristics (motivation, actions and beliefs) were measured when entering the university and at the end of the first year. Principal component analysis revealed four important constructs: Self-efficacy, Motivation type, Study habits and Views of mathematics. Subsequently, orthogonal partial least squares (OPLS) analysis was used for measuring the constructs' ability to predict students' university mathematics grades. No individual constructs measured at the time of entrance predicted more than 5% of the variation. On the other hand, jointly they predicted 14%, which is almost in pair with upper secondary grades predicting 17%. Constructs measured at the end of the first year were stronger predictors, jointly predicting 37% of the variation in university grades, with Self-efficacy (21%) and Motivation (12%) being the two strongest individual predictors. In general, Study habits were not important for predicting university achievement. However, for students with low upper secondary grades, the textbook and interaction with peers, rather than internet-based resources, contributed positively to achievement. The association between Views of mathematics and performance was weak for all groups and non-existing for students with low grades.

Academic performance of bachelor students in medical doctor and physiotherapy determined by predictive analysis.

PubMed

Aguilar, María Esther Urrutia; Rosas, Efrén Raúl Ponce; León, Silvia Ortiz; Ochoa, Laura Peñaloza; Guzmán, Rosalinda Guevara

2017-01-01

To identify and compare the predictive agents associated with medical students´ academic performance that are undertaking cellular biology and human histology, as well as those physiotherapists that take molecular, cellular and tissue biology. An academic follow up was carried out during school. Tools on previous knowledge, vocation, psychological and confrontational means were applied at the beginning of the school year; and the last two were applied two more times afterwards. Data were analyzed considering descriptive, comparative, correlational and predictive statistics. The students´ participation was voluntary and data confidentiality was looked after. Copyright: © 2017 SecretarÍa de Salud

Approaches to studying predict academic performance in undergraduate occupational therapy students: a cross-cultural study.

PubMed

Bonsaksen, Tore; Brown, Ted; Lim, Hua Beng; Fong, Kenneth

2017-05-02

Learning outcomes may be a result of several factors including the learning environment, students' predispositions, study efforts, cultural factors and approaches towards studying. This study examined the influence of demographic variables, education-related factors, and approaches to studying on occupational therapy students' Grade Point Average (GPA). Undergraduate occupational therapy students (n = 712) from four countries completed the Approaches and Study Skills Inventory for Students (ASSIST). Demographic background, education-related factors, and ASSIST scores were used in a hierarchical linear regression analysis to predict the students' GPA. Being older, female and more time engaged in self-study activities were associated with higher GPA among the students. In addition, five ASSIST subscales predicted higher GPA: higher scores on 'seeking meaning', 'achieving', and 'lack of purpose', and lower scores on 'time management' and 'fear of failure'. The full model accounted for 9.6% of the variance related to the occupational therapy students' GPA. To improve academic performance among occupational therapy students, it appears important to increase their personal search for meaning and motivation for achievement, and to reduce their fear of failure. The results should be interpreted with caution due to small effect sizes and a modest amount of variance explained by the regression model, and further research on predictors of academic performance is required.

Predicting performance: relative importance of students' background and past performance.

PubMed

Stegers-Jager, Karen M; Themmen, Axel P N; Cohen-Schotanus, Janke; Steyerberg, Ewout W

2015-09-01

Despite evidence for the predictive value of both pre-admission characteristics and past performance at medical school, their relative contribution to predicting medical school performance has not been thoroughly investigated. This study was designed to determine the relative importance of pre-admission characteristics and past performance in medical school in predicting student performance in pre-clinical and clinical training. This longitudinal prospective study followed six cohorts of students admitted to a Dutch, 6-year, undergraduate medical course during 2002-2007 (n = 2357). Four prediction models were developed using multivariate logistic regression analysis. Main outcome measures were 'Year 1 course completion within 1 year' (models 1a, 1b), 'Pre-clinical course completion within 4 years' (model 2) and 'Achievement of at least three of five clerkship grades of ≥ 8.0' (model 3). Pre-admission characteristics (models 1a, 1b, 2, 3) and past performance at medical school (models 1b, 2, 3) were included as predictor variables. In model 1a - including pre-admission characteristics only - the strongest predictor for Year 1 course completion was pre-university grade point average (GPA). Success factors were 'selected by admission testing' and 'age > 21 years'; risk factors were 'Surinamese/Antillean background', 'foreign pre-university degree', 'doctor parent' and male gender. In model 1b, number of attempts and GPA at 4 months were the strongest predictors for Year 1 course completion, and male gender remained a risk factor. Year 1 GPA was the strongest predictor for pre-clinical course completion, whereas being male or aged 19-21 years were risk factors. Pre-clinical course GPA positively predicted clinical performance, whereas being non-Dutch or a first-generation university student were important risk factors for lower clinical grades. Nagelkerke's R(2) ranged from 0.16 to 0.62. This study not only confirms the importance of past performance as a predictor of future performance in pre-clinical training, but also reveals the importance of a student's background as a predictor in clinical training. These findings have important practical implications for selection and support during medical school. © 2015 John Wiley & Sons Ltd.

Performance in grade 12 mathematics and science predicts student nurses' performance in first year science modules at a university in the Western Cape.

PubMed

Mthimunye, Katlego D T; Daniels, Felicity M

2017-10-26

The demand for highly qualified and skilled nurses is increasing in South Africa as well as around the world. Having a background in science can create a significant advantage for students wishing to enrol for an undergraduate nursing qualification because nursing as profession is grounded in scientific evidence. The aim of this study was to investigate the predictive validity of grade 12 mathematics and science on the academic performance of first year student nurses in science modules. A quantitative research method using a cross-sectional predictive design was employed in this study. The participants included first year Bachelor of Nursing students enrolled at a university in the Western Cape, South Africa. Descriptive and inferential statistics were performed to analyse the data by using the IBM Statistical Package for Social Sciences versions 24. Descriptive analysis of all variables was performed as well as the Spearman's rank correlation test to describe the relationship among the study variables. Standard multiple linear regressions analysis was performed to determine the predictive validity of grade 12 mathematics and science on the academic performance of first year student nurses in science modules. The results of this study showed that grade 12 physical science is not a significant predictor (p > 0.062) of performance in first year science modules. The multiple linear regression revealed that grade 12 mathematics and life science grades explained 37.1% to 38.1% (R2 = 0.381 and adj R2 = 0.371) of the variation in the first year science grade distributions. Based on the results of the study it is evident that performance in grade 12 mathematics (β = 2.997) and life science (β = 3.175) subjects is a significant predictor (p < 0.001) of the performance in first year science modules for student nurses at the university identified for this study.

Predictors of Global Self-Worth and Academic Performance among Regular Education, Learning Disabled, and Continuation High School Students.

ERIC Educational Resources Information Center

Wiest, Dudley J.; Wong, Eugene H.; Kreil, Dennis A.

1998-01-01

The ability of measures of perceived competence, control, and autonomy support to predict self-worth and academic performance was studied across groups of high school students. Stepwise regression analyses indicate these variables in model predict self-worth and grade point average. In addition, levels of school status and depression predict…

The Role of Student Major in Grade Perception in Chemistry Courses

ERIC Educational Resources Information Center

Karatjas, Andrew; Webb, Jeffrey

2017-01-01

The Kruger-Dunning effect was studied as it related to performance in chemistry courses based on student differences in academic background. Student major was chosen as the classification to look at the effect of students with different interests/specializations. Chemistry majors tended to predict lower performance than biology majors, while…

The Role of Culture, Competitiveness and Economic Performance in Explaining Academic Performance: A Global Market Analysis for International Student Segmentation

ERIC Educational Resources Information Center

Baumann, Chris; Hamin

2011-01-01

A nation's culture, competitiveness and economic performance explain academic performance. Partial Least Squares (PLS) testing of 2252 students shows culture affects competitiveness and academic performance. Culture and economic performance each explain 32%; competitiveness 36%. The model predicts academic performance when culture, competitiveness…

The value of the UK Clinical Aptitude Test in predicting pre-clinical performance: a prospective cohort study at Nottingham Medical School.

PubMed

Yates, Janet; James, David

2010-07-28

The UK Clinical Aptitude Test (UKCAT) was introduced in 2006 as an additional tool for the selection of medical students. It tests mental ability in four distinct domains (Quantitative Reasoning, Verbal Reasoning, Abstract Reasoning, and Decision Analysis), and the results are available to students and admissions panels in advance of the selection process. As yet the predictive validity of the test against course performance is largely unknown.The study objective was to determine whether UKCAT scores predict performance during the first two years of the 5-year undergraduate medical course at Nottingham. We studied a single cohort of students, who entered Nottingham Medical School in October 2007 and had taken the UKCAT. We used linear regression analysis to identify independent predictors of marks for different parts of the 2-year preclinical course. Data were available for 204/260 (78%) of the entry cohort. The UKCAT total score had little predictive value. Quantitative Reasoning was a significant independent predictor of course marks in Theme A ('The Cell'), (p = 0.005), and Verbal Reasoning predicted Theme C ('The Community') (p < 0.001), but otherwise the effects were slight or non-existent. This limited study from a single entry cohort at one medical school suggests that the predictive value of the UKCAT, particularly the total score, is low. Section scores may predict success in specific types of course assessment.The ultimate test of validity will not be available for some years, when current cohorts of students graduate. However, if this test of mental ability does not predict preclinical performance, it is arguably less likely to predict the outcome in the clinical years. Further research from medical schools with different types of curriculum and assessment is needed, with longitudinal studies throughout the course.

The Role of Student Growth Percentiles in Monitoring Learning and Predicting Learning Outcomes

ERIC Educational Resources Information Center

Seo, Daeryong; McGrane, Joshua; Taherbhai, Husein

2015-01-01

Most formative assessments rely on the performance status of a student at a particular time point. However, such a method does not provide any information on the "propensity" of the student to achieve a predetermined target score or whether the student is performing as per the expectations from identical students with the same history of…

Hardiness commitment, gender, and age differentiate university academic performance.

PubMed

Sheard, Michael

2009-03-01

The increasing diversity of students, particularly in age, attending university has seen a concomitant interest in factors predicting academic success. This 2-year correlational study examined whether age, gender (demographic variables), and hardiness (cognitive/emotional variable) differentiate and predict university final degree grade point average (GPA) and final-year dissertation mark. Data are reported from a total of 134 university undergraduate students. Participants provided baseline data in questionnaires administered during the first week of their second year of undergraduate study and gave consent for their academic progress to be tracked. Final degree GPA and dissertation mark were the academic performance criteria. Mature-age students achieved higher final degree GPA compared to young undergraduates. Female students significantly outperformed their male counterparts in each measured academic assessment criteria. Female students also reported a significantly higher mean score on hardiness commitment compared to male students. commitment was the most significant positive correlate of academic achievement. Final degree GPA and dissertation mark were significantly predicted by commitment, and commitment and gender, respectively. The findings have implications for universities targeting academic support services to maximize student scholastic potential. Future research should incorporate hardiness, gender, and age with other variables known to predict academic success.

Brief Report: Investigating Relations Between Self-Concept and Performance in Reading and Math for School-Aged Children and Adolescents with Autism Spectrum Disorder.

PubMed

McCauley, James B; Zajic, Matthew C; Oswald, Tasha M; Swain-Lerro, Lindsey E; McIntyre, Nancy C; Harris, Michelle A; Trzesniewski, Kali; Mundy, Peter C; Solomon, Marjorie

2018-05-01

A typically developing student's perceptions of his or her own capabilities (academic self-concept), is predictive of later academic achievement. However, little is known about academic self-concept in youth with autism spectrum disorder (ASD). To understand whether students math self-concept and reading self-concept predicted their performance, 44 school-aged children and adolescents with ASD and 36 age-matched individuals with typical development (TYP) rated their perceived math and reading abilities and were administered standardized achievement measures. Results showed self-concept was predictive of performance in math and reading in the TYP group. For youth with ASD, there was agreement between self-concept and performance only in math. These findings suggest that educators should be cautious when interpreting the self-assessments of reading ability in students with ASD.

Using PELA to Predict International Business Students' English Writing Performance with Contextualised English Writing Workshops as Intervention Program

ERIC Educational Resources Information Center

Wong, Caroline; Delante, Nimrod Lawsin; Wang, Pengji

2017-01-01

This study examines the effectiveness of Post-Entry English Language Assessment (PELA) as a predictor of international business students' English writing performance and academic performance. An intervention involving the implementation of contextualised English writing workshops was embedded in a specific business subject targeted at students who…

Self-efficacy as a predictor of academic performance in science.

PubMed

Andrew, S

1998-03-01

Nursing students have traditionally experienced difficulties with the science subjects in nursing curricula, and irrespective of the institution conducting a nursing programme, this trend appears to be continuing. A satisfactory means of predicting academic performance in these subjects will facilitate the development of educational strategies designed to assist students overcome their difficulties. In this study, an instrument called the Self-Efficacy for Science (SEFS) was developed and tested. The SEFS was designed to predict academic performance in the science areas of a first-year undergraduate nursing course. A cohort of first-year students enrolled in a bachelor of nursing course were surveyed by questionnaire. Students' academic scores for two first-year science subjects were obtained and used as the criterion measure for the study. Principal component factor analysis revealed the SEFS contained six instead of the hypothesized four factors. These six factors could explain 70% of students' self-efficacy for science. Cronbach alpha of the SEFS was 0.9. The SEFS could predict 24% of the cohort's academic performance in a physical science subject and 18.5% for a bioscience subject. Studying science in the final year at high school was not statistically significantly related to the SEFS. Implications for students and future research are discussed.

Brief Report: Investigating Relations between Self-Concept and Performance in Reading and Math for School-Aged Children and Adolescents with Autism Spectrum Disorder

ERIC Educational Resources Information Center

McCauley, James B.; Zajic, Matthew C.; Oswald, Tasha M.; Swain-Lerro, Lindsey E.; McIntyre, Nancy C.; Harris, Michelle A.; Trzesniewski, Kali; Mundy, Peter C.; Solomon, Marjorie

2018-01-01

A typically developing student's perceptions of his or her own capabilities (academic self-concept), is predictive of later academic achievement. However, little is known about academic self-concept in youth with autism spectrum disorder (ASD). To understand whether students math self-concept and reading self-concept predicted their performance,…

Prediction and Stability of Mathematics Skill and Difficulty

PubMed Central

Martin, Rebecca B.; Cirino, Paul T.; Barnes, Marcia A.; Ewing-Cobbs, Linda; Fuchs, Lynn S.; Stuebing, Karla K.; Fletcher, Jack M.

2016-01-01

The present study evaluated the stability of math learning difficulties over a 2-year period and investigated several factors that might influence this stability (categorical vs. continuous change, liberal vs. conservative cut point, broad vs. specific math assessment); the prediction of math performance over time and by performance level was also evaluated. Participants were 144 students initially identified as having a math difficulty (MD) or no learning difficulty according to low achievement criteria in the spring of Grade 3 or Grade 4. Students were reassessed 2 years later. For both measure types, a similar proportion of students changed whether assessed categorically or continuously. However, categorical change was heavily dependent on distance from the cut point and so more common for MD, who started closer to the cut point; reliable change index change was more similar across groups. There were few differences with regard to severity level of MD on continuous metrics or in terms of prediction. Final math performance on a broad computation measure was predicted by behavioral inattention and working memory while considering initial performance; for a specific fluency measure, working memory was not uniquely related, and behavioral inattention more variably related to final performance, again while considering initial performance. PMID:22392890

Prediction and stability of mathematics skill and difficulty.

PubMed

Martin, Rebecca B; Cirino, Paul T; Barnes, Marcia A; Ewing-Cobbs, Linda; Fuchs, Lynn S; Stuebing, Karla K; Fletcher, Jack M

2013-01-01

The present study evaluated the stability of math learning difficulties over a 2-year period and investigated several factors that might influence this stability (categorical vs. continuous change, liberal vs. conservative cut point, broad vs. specific math assessment); the prediction of math performance over time and by performance level was also evaluated. Participants were 144 students initially identified as having a math difficulty (MD) or no learning difficulty according to low achievement criteria in the spring of Grade 3 or Grade 4. Students were reassessed 2 years later. For both measure types, a similar proportion of students changed whether assessed categorically or continuously. However, categorical change was heavily dependent on distance from the cut point and so more common for MD, who started closer to the cut point; reliable change index change was more similar across groups. There were few differences with regard to severity level of MD on continuous metrics or in terms of prediction. Final math performance on a broad computation measure was predicted by behavioral inattention and working memory while considering initial performance; for a specific fluency measure, working memory was not uniquely related, and behavioral inattention more variably related to final performance, again while considering initial performance.

The Study Skills Questionnaire (SSQUES): Preliminary Validation of a Measure for Assessing Students' Perceived Areas of Weakness.

ERIC Educational Resources Information Center

McCombs, Barbara L.; Dobrovolny, Jacqueline L.

The potential reliability and construct and predictive validity of a 30-item Study Skills Questionnaire (SSQUES) was evaluated for its ability to: (1) predict student performance in a self-paced, individualized, or computer-managed instructional environment, and (2) identify students needing some type of study skills remediation. The study was…

Predicting Success: How Predictive Analytics Are Transforming Student Support and Success Programs

ERIC Educational Resources Information Center

Boerner, Heather

2015-01-01

Every year, Lone Star College in Texas hosts a "Men of Honor" program to provide assistance and programming to male students, but particularly those who are Hispanic and black, in hopes their academic performance will improve. Lone Star might have kept directing its limited resources toward these students--and totally missed the subset…

The Effects of Two Semesters of Secondary School Calculus on Students' First and Second Quarter Calculus Grades at the University of Utah

ERIC Educational Resources Information Center

Robinson, William Baker

1970-01-01

The predicted and actual achievement in college calculus is compared for students who had studied two semesters of calculus in high school. The regression equation used for prediction was calculated from the performance data of similar students who had not had high school calculus. (CT)

The Eighth Grade CRCT as a Predictive Measure of Student Success on the Ninth Grade EOCT

ERIC Educational Resources Information Center

Body, Matthew

2013-01-01

Student performance on high stakes testing in secondary education has contributed to the need for students' testing potential to be identified before entering high school. There is evidence to suggest that a greater understanding of how earlier test scores predict later test scores will help educators and school officials increase student…

Predicting the At Risk Status of College Students: Males and Students with Disabilities. Final Report Presented to PAREA, Spring 2009

ERIC Educational Resources Information Center

Jorgensen, Shirley; Fichten, Catherine; Havel, Alice

2009-01-01

The main aim of this study was to gain a better understanding of why students abandon their studies, or perform less well than expected given their high school grades, and to develop predictive models that can help identify those students most at-risk at the time they enter college. This will allow teachers and those responsible for student…

The Relation of Student Engagement and Other Admission Metrics to Master of Accounting Student Performance

ERIC Educational Resources Information Center

Buckless, Frank; Krawczyk, Kathy

2016-01-01

This paper examines whether the use of student engagement (SE) information as part of the admissions process can help us to predict student academic success in Master of Accounting (MAC) programs. The association of SE, undergraduate grade point average (UGPA), and Graduate Management Admissions Test (GMAT) score to academic performance was tested…

Predicting students' intention to use stimulants for academic performance enhancement.

PubMed

Ponnet, Koen; Wouters, Edwin; Walrave, Michel; Heirman, Wannes; Van Hal, Guido

2015-02-01

The non-medical use of stimulants for academic performance enhancement is becoming a more common practice among college and university students. The objective of this study is to gain a better understanding of students' intention to use stimulant medication for the purpose of enhancing their academic performance. Based on an extended model of Ajzen's theory of planned behavior, we examined the predictive value of attitude, subjective norm, perceived behavioral control, psychological distress, procrastination, substance use, and alcohol use on students' intention to use stimulants to improve their academic performance. The sample consisted of 3,589 Flemish university and college students (mean age: 21.59, SD: 4.09), who participated anonymously in an online survey conducted in March and April 2013. Structural equation modeling was used to investigate the relationships among the study variables. Our results indicate that subjective norm is the strongest predictor of students' intention to use stimulant medication, followed by attitude and perceived behavioral control. To a lesser extent, procrastinating tendencies, psychological distress, and substance abuse contribute to students' intention. Conclusions/ Importance: Based on these findings, we provide several recommendations on how to curtail students' intention to use stimulant medication for the purpose of improving their academic performance. In addition, we urge researchers to identify other psychological variables that might be related to students' intention.

Connecting English Language Learning and Academic Performance: A Prediction Study

ERIC Educational Resources Information Center

Kong, Jadie; Powers, Sonya; Starr, Laura; Williams, Natasha

2012-01-01

The purpose of this study was to investigate the use of English language proficiency and academic reading assessment scores to predict the future academic success of English learner (EL) students. Data from two cohorts of middle-school ELs were used to evaluate three prediction models. One cohort of students was used to develop the prediction…

Predicting academic performance of dental students using perception of educational environment.

PubMed

Al-Ansari, Asim A; El Tantawi, Maha M A

2015-03-01

Greater emphasis on student-centered education means that students' perception of their educational environment is important. The ultimate proof of this importance is its effect on academic performance. The aim of this study was to assess the predictability of dental students' grades as indicator of academic performance through their perceptions of the educational environment. The Dundee Ready Educational Environment Measure (DREEM) questionnaire was used to assess dental students' perceptions of their educational environment at the University of Dammam, Saudi Arabia, in academic year 2012-13. Aggregate grades in courses were collected at the end of the semester and related to levels of perception of the five DREEM domains using regression analysis. The response rate was 87.1% among all students in Years 2-6. As the number of students perceiving excellence in learning increased, the number of students with A grades increased. Perception of an environment with problems in the atmosphere and social life increased the number of students with D and F grades. There was no relation between any of the DREEM domains and past academic performance as measured by GPA. This study concludes that these students' academic performance was affected by various aspects of perceiving the educational environment. Improved perception of learning increased the number of high achievers, whereas increased perception of problems in atmosphere and social life increased the number of low achievers and failing students.

Student-written single-best answer questions predict performance in finals.

PubMed

Walsh, Jason; Harris, Benjamin; Tayyaba, Saadia; Harris, David; Smith, Phil

2016-10-01

Single-best answer (SBA) questions are widely used for assessment in medical schools; however, often clinical staff have neither the time nor the incentive to develop high-quality material for revision purposes. A student-led approach to producing formative SBA questions offers a potential solution. Cardiff University School of Medicine students created a bank of SBA questions through a previously described staged approach, involving student question-writing, peer-review and targeted senior clinician input. We arranged questions into discrete tests and posted these online. Student volunteer performance on these tests from the 2012/13 cohort of final-year medical students was recorded and compared with the performance of these students in medical school finals (knowledge and objective structured clinical examinations, OSCEs). In addition, we compared the performance of students that participated in question-writing groups with the performance of the rest of the cohort on the summative SBA assessment. Often clinical staff have neither the time nor the incentive to develop high-quality material for revision purposes Performance in the end-of-year summative clinical knowledge SBA paper correlated strongly with performance in the formative student-written SBA test (r = ~0.60, p <0.01). There was no significant correlation between summative OSCE scores and formative student-written SBA test scores. Students who wrote and reviewed questions scored higher than average in the end-of-year summative clinical knowledge SBA paper. Student-written SBAs predict performance in end-of-year SBA examinations, and therefore can provide a potentially valuable revision resource. There is potential for student-written questions to be incorporated into summative examinations. © 2015 John Wiley & Sons Ltd.

Concept Inventories: Predicting the Wrong Answer May Boost Performance

ERIC Educational Resources Information Center

Talanquer, Vincente

2017-01-01

Several concept inventories have been developed to elicit students' alternative conceptions in chemistry. It is suggested that heuristic reasoning may bias students' answers in these types of assessments toward intuitively appealing choices. If this is the case, one could expect students to improve their performance by engaging in more analytical…

Self-Efficacy, Self-Regulation, and Goal Orientation: Learner Motivational Characteristics That Influence Online Student Performance

ERIC Educational Resources Information Center

Wintling, Cheral Ann

2012-01-01

Learner motivational constructs of self-efficacy, self-regulation, and goal orientation in predicting successful student performance in online courses were explored. Thirty-three undergraduate students from the online courses Introduction to Educational Technology and Introduction to Education completed sections of the Motivated Strategies for…

The Effect of Synchronous and Asynchronous Participation on Students' Performance in Online Accounting Courses

ERIC Educational Resources Information Center

Duncan, Keith; Kenworthy, Amy; McNamara, Ray

2012-01-01

This article examines the relationship between MBA students' performance and participation in two online environments: a synchronous forum (chat room) and an asynchronous forum (discussion board) at an Australian university. The "quality" and "quantity" of students' participation is used to predict their final examination and…

Does a selection interview predict year 1 performance in dental school?

PubMed

McAndrew, R; Ellis, J; Valentine, R A

2017-05-01

It is important for dental schools to select students who will complete their degree and progress on to become the dentists of the future. The process should be transparent, fair and ethical and utilise selection tools that select appropriate students. The interview is an integral part of UK dental schools student selection procedures. This study was undertaken in order to determine whether different interview methods (Cardiff with a multiple mini interview and Newcastle with a more traditional interview process) along with other components used in selection predicted academic performance in students. The admissions selection data for two dental schools (Cardiff and Newcastle) were collected and analysed alongside student performance in academic examinations in Year 1 of the respective schools. Correlation statistics were used to determine whether selection tools had any relevance to academic performance once students were admitted to their respective Universities. Data was available for a total of 177 students (77 Cardiff and 100 Newcastle). Examination performance did not correlate with admission interview scores at either school; however UKCAT score was linked to poor academic performance. Although interview methodology does not appear to correlate with academic performance it remains an integral and very necessary part of the admissions process. Ultimately schools need to be comfortable with their admissions procedures in attracting and selecting the calibre of students they desire. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

The validity of physical aggression in predicting adolescent academic performance.

PubMed

Loveland, James M; Lounsbury, John W; Welsh, Deborah; Buboltz, Walter C

2007-03-01

Aggression has a long history in academic research as both a criterion and a predictor variable and it is well documented that aggression is related to a variety of poor academic outcomes such as: lowered academic performance, absenteeism and lower graduation rates. However, recent research has implicated physical aggression as being predictive of lower academic performance. The purpose of this study was to examine the role of the 'Big Five' personality traits of agreeableness, openness to experience, conscientiousness, neuroticism and extraversion and physical aggression in predicting the grade point averages (GPA) of adolescent students and to investigate whether or not there were differences in these relationships between male and female students. A sample of 992 students in grades 9 to 12 from a high school in south-eastern USA as part of a larger study examining the students' preparation for entry into the workforce. The study was correlational in nature: students completed a personality inventory developed by the second author with the GPA information supplied by the school. Results indicated that physical aggression accounts for 16% of variance in GPA and it adds 7% to the prediction of GPA beyond the Big Five. The Big Five traits added only 1.5% to the prediction of GPA after controlling for physical aggression. Interestingly, a significantly larger amount of variance in GPA was predicted by physical aggression for females than for males. Aggression accounts for significantly more variance in the GPA of females than for males, even when controlling for the Big Five personality factors. Future research should examine the differences in the expression of aggression in males and females, as well as how this is affecting interactions between peers and between students and their teachers.

Differential effects of two types of formative assessment in predicting performance of first-year medical students.

PubMed

Krasne, Sally; Wimmers, Paul F; Relan, Anju; Drake, Thomas A

2006-05-01

Formative assessments are systematically designed instructional interventions to assess and provide feedback on students' strengths and weaknesses in the course of teaching and learning. Despite their known benefits to student attitudes and learning, medical school curricula have been slow to integrate such assessments into the curriculum. This study investigates how performance on two different modes of formative assessment relate to each other and to performance on summative assessments in an integrated, medical-school environment. Two types of formative assessment were administered to 146 first-year medical students each week over 8 weeks: a timed, closed-book component to assess factual recall and image recognition, and an un-timed, open-book component to assess higher order reasoning including the ability to identify and access appropriate resources and to integrate and apply knowledge. Analogous summative assessments were administered in the ninth week. Models relating formative and summative assessment performance were tested using Structural Equation Modeling. Two latent variables underlying achievement on formative and summative assessments could be identified; a "formative-assessment factor" and a "summative-assessment factor," with the former predicting the latter. A latent variable underlying achievement on open-book formative assessments was highly predictive of achievement on both open- and closed-book summative assessments, whereas a latent variable underlying closed-book assessments only predicted performance on the closed-book summative assessment. Formative assessments can be used as effective predictive tools of summative performance in medical school. Open-book, un-timed assessments of higher order processes appeared to be better predictors of overall summative performance than closed-book, timed assessments of factual recall and image recognition.

Use of Curricular and Extracurricular Assessments to Predict Performance on the United States Medical Licensing Examination (USMLE) Step 1: A Multi-Year Study

ERIC Educational Resources Information Center

Gandy, Robyn A.; Herial, Nabeel A.; Khuder, Sadik A.; Metting, Patricia J.

2008-01-01

This paper studies student performance predictions based on the United States Medical Licensure Exam (USMLE) Step 1. Subjects were second-year medical students from academic years of 2002 through 2006 (n = 711). Three measures of basic science knowledge (two curricular and one extracurricular) were evaluated as predictors of USMLE Step 1 scores.…

The Relationship of Level of Positive Mental Health with Current Mental Disorders in Predicting Suicidal Behavior and Academic Impairment in College Students

ERIC Educational Resources Information Center

Keyes, Corey L. M.; Eisenberg, Daniel; Perry, Geraldine S.; Dube, Shanta R.; Kroenke, Kurt; Dhingra, Satvinder S.

2012-01-01

Objective: To investigate whether level of positive mental health complements mental illness in predicting students at risk for suicidal behavior and impaired academic performance. Participants: A sample of 5,689 college students participated in the 2007 Healthy Minds Study and completed an Internet survey that included the Mental Health…

The Role of Personal Best (PB) and Dichotomous Achievement Goals in Students' Academic Motivation and Engagement: A Longitudinal Investigation

ERIC Educational Resources Information Center

Martin, Andrew J.; Elliot, Andrew J.

2016-01-01

This study assessed the role of prior personal best goals in predicting subsequent academic motivation and engagement. A total of 1160 high school students participated in a longitudinal survey study exploring the extent to which personal best and mastery and performance (dichotomous) achievement goals predict students' academic motivation and…

A Comparison of an Introductory Course to SAT/ACT Scores in Predicting Student Performance

ERIC Educational Resources Information Center

Marsh, Crystale M.; Vandehey, Michael A.; Diekhoff, George M.

2008-01-01

We assessed students in General Psychology classes and examined their SAT/ACT scores, GPAs, and attempted and earned hours. Exams in General Psychology were superior to the SAT/ACT in predicting GPA, supporting the use of an introductory course as a "gateway" for identifying at-risk students and engaging them in academic services.…

The effects of gender stereotypic and counter-stereotypic textbook images on science performance.

PubMed

Good, Jessica J; Woodzicka, Julie A; Wingfield, Lylan C

2010-01-01

We investigated the effect of gender stereotypic and counter-stereotypic images on male and female high school students' science comprehension and anxiety. We predicted stereotypic images to induce stereotype threat in females and impair science performance. Counter-stereotypic images were predicted to alleviate threat and enhance female performance. Students read one of three chemistry lessons, each containing the same text, with photograph content varied according to stereotype condition. Participants then completed a comprehension test and anxiety measure. Results indicate that female students had higher comprehension after viewing counter-stereotypic images (female scientists) than after viewing stereotypic images (male scientists). Male students had higher comprehension after viewing stereotypic images than after viewing counter-stereotypic images. Implications for alleviating the gender gap in science achievement are discussed.

Testing the Importance of Individual Growth Curves in Predicting Performance on a High-Stakes Reading Comprehension Test in Florida. REL 2014-006

ERIC Educational Resources Information Center

Petscher, Yaacov; Kershaw, Sarah; Koon, Sharon; Foorman, Barbara R.

2014-01-01

Districts and schools use progress monitoring to assess student progress, to identify students who fail to respond to intervention, and to further adapt instruction to student needs. Researchers and practitioners often use progress monitoring data to estimate student achievement growth (slope) and evaluate changes in performance over time for…

Predictors of science success: The impact of motivation and learning strategies on college chemistry performance

NASA Astrophysics Data System (ADS)

Obrentz, Shari B.

As the number of college students studying science continues to grow, it is important to identify variables that predict their success. The literature indicates that motivation and learning strategy use facilitate science success. Research findings show these variables can change throughout a semester and differ by performance level, gender and ethnicity. However, significant predictors of performance vary by research study and by group. The current study looks beyond the traditional predictors of grade point averages, SAT scores and completion of advanced placement (AP) chemistry to consider a comprehensive set of variables not previously investigated within the same study. Research questions address the predictive ability of motivation constructs and learning strategies for success in introductory college chemistry, how these variables change throughout a semester, and how they differ by performance level, gender and ethnicity. Participants were 413 introductory college chemistry students at a highly selective university in the southeast. Participants completed the Chemistry Motivation Questionnaire (CMQ) and Learning Strategies section of the Motivated Strategies for Learning Questionnaire (MSLQ) three times during the semester. Self-efficacy, effort regulation, assessment anxiety and previous achievement were significant predictors of chemistry course success. Levels of motivation changed with significant decreases in self-efficacy and increases in personal relevance and assessment anxiety. Learning strategy use changed with significant increases in elaboration, critical thinking, metacognitive self-regulation skills and peer learning, and significant decreases in time and study management and effort regulation. High course performers reported the highest levels of motivation and learning strategy use. Females reported lower intrinsic motivation, personal relevance, self-efficacy and critical thinking, and higher assessment anxiety, rehearsal and organization. Self-efficacy predicted performance for males and females, while self-determination, help-seeking and time and study environment also predicted female success. Few differences in these variables were found between ethnicity groups. Self-efficacy positively predicted performance for Asians and Whites, and metacognitive self-regulation skills negatively predicted success for Other students. The results have implications for college science instructors who are encouraged to collect and utilize data on students' motivation and learning strategy use, promote both in science classes, and design interventions for specific students who need more support.

A virtual reality dental simulator predicts performance in an operative dentistry manikin course.

PubMed

Imber, S; Shapira, G; Gordon, M; Judes, H; Metzger, Z

2003-11-01

This study was designed to test the ability of a virtual reality dental simulator to predict the performance of students in a traditional operative dentistry manikin course. Twenty-six dental students were pre-tested on the simulator, prior to the course. They were briefly instructed and asked to prepare 12 class I cavities which were automatically graded by the simulator. The instructors in the manikin course that followed were unaware of the students' performances in the simulator pre-test. The scores achieved by each student in the last six simulator cavities were compared to their final comprehensive grades in the manikin course. Class standing of the students in the simulator pre-test positively correlated with their achievements in the manikin course with a correlation coefficient of 0.49 (P = 0.012). Eighty-nine percent of the students in the lower third of the class in the pre-test remained in the low performing half of the class in the manikin course. These results indicate that testing students in a dental simulator, prior to a manikin course, may be an efficient way to allow early identification of those who are likely to perform poorly. This in turn could enable early allocation of personal tutors to these students in order to improve their chances of success.

Adaptive and maladaptive perfectionism in medical students: a longitudinal investigation.

PubMed

Enns, M W; Cox, B J; Sareen, J; Freeman, P

2001-11-01

The personality of medical students may have an important impact on both their academic performance and emotional adjustment during medical school. There has been little systematic study of the impact of perfectionism on medical students. The present study sought to compare the perfectionism profile of medical students with that of a general arts student group and to examine the relationship among perfectionism, distress symptoms and academic expectations and satisfaction. Medical students (n=96) and arts students (n=289) completed a baseline assessment including two multidimensional perfectionism scales. The medical students also completed measures of distress symptoms, personality (neuroticism, conscientiousness) and questions about their perceptions of their academic performance. Of the medical students, 58 completed a second set of questionnaires 6 months later (time 2). First-, second- and third year medical students and first-year arts students. In comparison with arts students, the perfectionism profile of medical students showed higher personal standards, lower doubts about actions and lower maladaptive perfectionism scores. In the medical students adaptive perfectionism (achievement striving) was significantly correlated with baseline academic performance expectations and conscientiousness and was predictive of dissatisfaction with academic performance at time 2. Maladaptive perfectionism (excessive evaluative concerns) was significantly correlated with baseline distress symptoms and neuroticism and was predictive of symptoms of depression and hopelessness at time 2. Perfectionism in medical students differs systematically from perfectionism in general arts students. Distinguishing adaptive and maladaptive aspects of perfectionism is important in understanding the cross-sectional and longitudinal implications of perfectionism for medical students.

A Comparative Study of Classification and Regression Algorithms for Modelling Students' Academic Performance

ERIC Educational Resources Information Center

Strecht, Pedro; Cruz, Luís; Soares, Carlos; Mendes-Moreira, João; Abreu, Rui

2015-01-01

Predicting the success or failure of a student in a course or program is a problem that has recently been addressed using data mining techniques. In this paper we evaluate some of the most popular classification and regression algorithms on this problem. We address two problems: prediction of approval/failure and prediction of grade. The former is…

Achievement goal orientation and situational motivation for a low-stakes test of content knowledge.

PubMed

Waskiewicz, Rhonda A

2012-05-10

To determine the extent of the relationship between students' inherent motivation to achieve in a doctor of pharmacy program and their motivation to achieve on a single low-stakes test of content knowledge. The Attitude Toward Learning Questionnaire (ATL) was administered to 66 third-year pharmacy students at the beginning of the spring 2011 semester, and the Student Opinion Scale (SOS) was administered to the same group immediately following completion of the Pharmacy Curricular Outcomes Assessment (PCOA). Significant differences were found in performance approach and work avoidance based on situational motivation scores. Situational motivation was also found to be directly correlated with performance and mastery approaches and inversely correlated with work avoidance. Criteria were met for predicting importance and effort from performance and mastery approaches and work avoidance scores of pharmacy students. The ability to predict pharmacy students' motivation to perform on a low-stakes standardized test of content knowledge increases the test's usefulness as a measure of curricular effectiveness.

Trait impulsivity predicts D-KEFS tower test performance in university students.

PubMed

Lyvers, Michael; Basch, Vanessa; Duff, Helen; Edwards, Mark S

2015-01-01

The present study examined a widely used self-report index of trait impulsiveness in relation to performance on a well-known neuropsychological executive function test in 70 university undergraduate students (50 women, 20 men) aged 18 to 24 years old. Participants completed the Barratt Impulsiveness Scale (BIS-11) and the Frontal Systems Behavior Scale (FrSBe), after which they performed the Tower Test of the Delis-Kaplan Executive Function System. Hierarchical linear regression showed that after controlling for gender, current alcohol consumption, age at onset of weekly alcohol use, and FrSBe scores, BIS-11 significantly predicted Tower Test Achievement scores, β = -.44, p < .01. The results indicate that self-reported impulsiveness is associated with poorer executive cognitive performance even in a sample likely to be characterized by relatively high general cognitive functioning (i.e., university students). The results also support the role of inhibition as a key aspect of executive task performance. Elevated scores on the BIS-11 and FrSBe are known to be linked to risky drinking in young adults as confirmed in this sample; however, only BIS-11 predicted Tower Test performance.

Comparison of Basic Science Knowledge Between DO and MD Students.

PubMed

Davis, Glenn E; Gayer, Gregory G

2017-02-01

With the coming single accreditation system for graduate medical education, medical educators may wonder whether knowledge in basic sciences is equivalent for osteopathic and allopathic medical students. To examine whether medical students' basic science knowledge is the same among osteopathic and allopathic medical students. A dataset of the Touro University College of Osteopathic Medicine-CA student records from the classes of 2013, 2014, and 2015 and the national cohort of National Board of Medical Examiners Comprehensive Basic Science Examination (NBME-CBSE) parameters for MD students were used. Models of the Comprehensive Osteopathic Medical Licensing Examination-USA (COMLEX-USA) Level 1 scores were fit using linear and logistic regression. The models included variables used in both osteopathic and allopathic medical professions to predict COMLEX-USA outcomes, such as Medical College Admission Test biology scores, preclinical grade point average, number of undergraduate science units, and scores on the NBME-CBSE. Regression statistics were studied to compare the effectiveness of models that included or excluded NBME-CBSE scores at predicting COMLEX-USA Level 1 scores. Variance inflation factor was used to investigate multicollinearity. Receiver operating characteristic curves were used to show the effectiveness of NBME-CBSE scores at predicting COMLEX-USA Level 1 pass/fail outcomes. A t test at 99% level was used to compare mean NBME-CBSE scores with the national cohort. A total of 390 student records were analyzed. Scores on the NBME-CBSE were found to be an effective predictor of COMLEX-USA Level 1 scores (P<.001). The pass/fail outcome on COMLEX-USA Level 1 was also well predicted by NBME-CBSE scores (P<.001). No significant difference was found in performance on the NBME-CBSE between osteopathic and allopathic medical students (P=.322). As an examination constructed to assess the basic science knowledge of allopathic medical students, the NBME-CBSE is effective at predicting performance on COMLEX-USA Level 1. In addition, osteopathic medical students performed the same as allopathic medical students on the NBME-CBSE. The results imply that the same basic science knowledge is expected for DO and MD students.

Learning and Study Strategies Inventory subtests and factors as predictors of National Board of Chiropractic Examiners Part 1 examination performance.

PubMed

Schutz, Christine M; Dalton, Leanne; Tepe, Rodger E

2013-01-01

This study was designed to extend research on the relationship between chiropractic students' learning and study strategies and national board examination performance. Sixty-nine first trimester chiropractic students self-administered the Learning and Study Strategies Inventory (LASSI). Linear trends tests (for continuous variables) and Mantel-Haenszel trend tests (for categorical variables) were utilized to determine if the 10 LASSI subtests and 3 factors predicted low, medium and high levels of National Board of Chiropractic Examiners (NBCE) Part 1 scores. Multiple regression was performed to predict overall mean NBCE examination scores using the 3 LASSI factors as predictor variables. Four LASSI subtests (Anxiety, Concentration, Selecting Main Ideas, Test Strategies) and one factor (Goal Orientation) were significantly associated with NBCE examination levels. One factor (Goal Orientation) was a significant predictor of overall mean NBCE examination performance. Learning and study strategies are predictive of NBCE Part 1 examination performance in chiropractic students. The current study found LASSI subtests Anxiety, Concentration, Selecting Main Ideas, and Test Strategies, and the Goal-Orientation factor to be significant predictors of NBCE scores. The LASSI may be useful to educators in preparing students for academic success. Further research is warranted to explore the effects of learning and study strategies training on GPA and NBCE performance.

Teacher Self-Efficacy, Professional Development and Student Reading Performance in Persistently Low-Performing Schools

ERIC Educational Resources Information Center

Washington, Vanassa

2016-01-01

The overall aim of this quantitative non-experimental study was to investigate the degree to which content-focused professional development, active based-learning professional development and teacher self-efficacy predict student performance in reading, within persistently low-performing schools. The need to investigate professional development in…

Adjustment, Performance, and Involvement of College Students with Disabilities.

ERIC Educational Resources Information Center

Kroeger, Sue; Scalia, Vincent

1988-01-01

Examined group of disabled college students (N=50) to determine whether psychosocial problems exist with these students and, if so, whether these problems can predict academic performance/involvement. Results indicated subjects were less disturbed than normative group, did not differ in body attitudes, and were more distorted on beliefs leading to…

An Examination of Factors Related to the Academic Performance of African-American College Students

ERIC Educational Resources Information Center

Wylie, D'Errico M.

2012-01-01

The purpose of this study was to identify factors that were predictive of academic performance of college students at Historically Black Colleges/Universities (HBCUs). The variables of interest included: seating choice, self-esteem, anxiety, stress and study habits. The sample consisted of 201 African-American undergraduate students. Participants…

Attributions or Retributions: Student Ratings and the Perceived Causes of Performance.

ERIC Educational Resources Information Center

Theall, Michael; And Others

The nature and extent of variations in student attributions about performance in their courses were studied, and the relationships between the attributions and responses on certain items of a student ratings questionnaire were determined. Causal or predictive relationships among these variables were also investigated. Data were collected using:…

Psychological Capital and Performance among Undergraduate Students: The Role of Meaning-Focused Coping and Satisfaction

ERIC Educational Resources Information Center

Ortega-Maldonado, Alberto; Salanova, Marisa

2018-01-01

This study explores the predictive relationships between psychological capital (PsyCap), meaning-focused coping, satisfaction and performance among undergraduate students. Six hundred and eighty two (n = 682) college students from 29 different academic programmes completed an academic well-being survey, which included measures of PsyCap, coping…

Humanistic versus Authoritarian Teachers: A Reflection on Students' Academic Motivation and Performance

ERIC Educational Resources Information Center

Sultan, Sarwat; Hussain, Irshad

2012-01-01

This prospective study using self-determination theory was conducted to predict the students' motivation and academic performance based on their perceived teachers' humanistic vs. authoritarian orientations in the classrooms. The sample consisted of 300 students aged 14-18 years taken from different schools of Multan. The Pupil Control Behavior…

An Empirical Investigation of MPA Student Performance and Admissions Criteria

ERIC Educational Resources Information Center

Ragothaman, Srinivasan; Carpenter, Jon; Davies, Thomas

2009-01-01

The quality of a Master of Professional Accountancy (MPA) program, similar to other undergraduate and graduate programs in business and other disciplines, is typically directly related to the quality of its students. While there is a considerable published scholarly work on MBA student performance, there is very little research to predict student…

The effect of providing feedback on the characteristics of student responses to a videotaped format for high school physics assessment

NASA Astrophysics Data System (ADS)

Lawrence, Michael John

1997-12-01

The problem of science illiteracy has been well documented. The development of the critical thinking skills in science education are often sacrificed in favor of content coverage. Opportunities for critical thinking within a context of science have been recommended to promote science literacy (AAAS, 1993). One means of doing this is to have students make and explain predictions involving physical phenomena, observe feedback, and then revise the prediction. A videotaped assessment using this process served as the focus for this study. High school physics students were asked to predict and explain what would happen in situations involving optics. They were then given different feedback treatments. The purpose of this study was to: (a) examine the effect of providing feedback on the quality of responses in making both revisions and subsequent predictions, and (b) examine the relationship between content knowledge and qualitative performance. Sixty-four high ability students were separated into three treatment groups: no feedback (NF), visual feedback (F), and teacher-explained feedback (TE). These students responded to six items on the Optics Videotape Assessment and ten optics multiple choice items from the National Physics Exam (NPE). Their teachers had previously attended a professional development institute which emphasized the practice and philosophy of assessments like the Optics Assessment. The assessment responses were categorized by two raters who used a taxonomy that ranged from simple descriptions to complete explanations. NPE performance was compared using one-way ANOVA, Optics Assessment performance was compared using a chi-square test of homogeneity, and a point-biserial correlation was done to compare qualitative and quantitative performance. The study found that students were unable to use feedback to make a significant change in the quality of their responses, whether revision or subsequent prediction. There was no correlation between content knowledge and qualitative performance. It was concluded that for students to succeed on an assessment of this type, their classroom teachers must be given the time to implement the appropriate instruction. Instruction and assessment of this nature are crucial to the development of science literacy.

Predicting Dyslexia in a Transparent Orthography from Grade 1 Literacy Skills: A Prospective Cohort Study

ERIC Educational Resources Information Center

Bigozzi, Lucia; Tarchi, Christian; Pinto, Giuliana; Accorti Gamannossi, Beatrice

2016-01-01

We conducted this prospective cohort study to explore the predictability of dyslexia from 1st-grade literacy skills in Italian students. We followed 407 Italian students in primary school from the 1st through the 3rd grades. Students were diagnosed with dyslexia in the 3rd grade. We retrospectively tested participants' 1st-grade performance in…

Personality and Family Background Correlates of Academic Performance in Minority Students. ERIC/IRCD Urban Disadvantaged Series, Number 37.

ERIC Educational Resources Information Center

Woloshin, Renee

Intellective measures such as aptitude test scores and previous school grades have long been used to predict a student's future academic potential. The information is relatively easy to obtain and has shown high correlations with college grades. Among minority students, however, there is evidence that they often defy what one would predict on the…

Predictive Effects of the Quality of Online Peer-Feedback Provided and Received on Primary School Students' Quality of Question-Generation

ERIC Educational Resources Information Center

Yu, Fu-Yun; Wu, Chun-Ping

2016-01-01

The research objectives of this study were to examine the individual and combined predictive effects of the quality of online peer-feedback provided and received on primary school students' quality of question-generation. A correlational study was adopted, and performance data from 213 fifth-grade students engaged in online question-generation and…

Engagement vs Performance: Using Electronic Portfolios to Predict First Semester Engineering Student Persistence

ERIC Educational Resources Information Center

Aguiar, Everaldo; Ambrose, G. Alex; Chawla, Nitesh V.; Goodrich, Victoria; Brockman, Jay

2014-01-01

As providers of higher education begin to harness the power of big data analytics, one very fitting application for these new techniques is that of predicting student attrition. The ability to pinpoint students who might soon decide to drop out, or who may be following a suboptimal path to success, allows those in charge not only to understand the…

An Examination of Pre-Entry and Academic Performance Factors that Predict Persistence for Academically Underprepared Students at a Public Research University

ERIC Educational Resources Information Center

Stewart, Sheilynda F.

2010-01-01

The purpose of this study was to examine student demographic, family characteristics, pre-college, and college academic factors that predict persistence between freshmen students who were placed or not placed in remediation courses. The participants for this study were comprised of 3,213 first-time, full-time and part-time, degree-seeking freshmen…

Teenage smoking, attempts to quit, and school performance.

PubMed Central

Hu, T W; Lin, Z; Keeler, T E

1998-01-01

OBJECTIVES: This study examined the relationship between school performance, smoking, and quitting attempts among teenagers. METHODS: A logistic regression model was used to predict the probability of being a current smoker or a former smoker. Data were derived from the 1990 California Youth Tobacco Survey. RESULTS: Students' school performance was a key factor in predicting smoking and quitting attempts when other sociodemographic and family income factors were controlled. CONCLUSIONS: Developing academic or remedial classes designed to improve students' school performance may lead to a reduction in smoking rates among teenagers while simultaneously providing a human capital investment in their futures. PMID:9618625

How the study of online collaborative learning can guide teachers and predict students' performance in a medical course.

PubMed

Saqr, Mohammed; Fors, Uno; Tedre, Matti

2018-02-06

Collaborative learning facilitates reflection, diversifies understanding and stimulates skills of critical and higher-order thinking. Although the benefits of collaborative learning have long been recognized, it is still rarely studied by social network analysis (SNA) in medical education, and the relationship of parameters that can be obtained via SNA with students' performance remains largely unknown. The aim of this work was to assess the potential of SNA for studying online collaborative clinical case discussions in a medical course and to find out which activities correlate with better performance and help predict final grade or explain variance in performance. Interaction data were extracted from the learning management system (LMS) forum module of the Surgery course in Qassim University, College of Medicine. The data were analyzed using social network analysis. The analysis included visual as well as a statistical analysis. Correlation with students' performance was calculated, and automatic linear regression was used to predict students' performance. By using social network analysis, we were able to analyze a large number of interactions in online collaborative discussions and gain an overall insight of the course social structure, track the knowledge flow and the interaction patterns, as well as identify the active participants and the prominent discussion moderators. When augmented with calculated network parameters, SNA offered an accurate view of the course network, each user's position, and level of connectedness. Results from correlation coefficients, linear regression, and logistic regression indicated that a student's position and role in information relay in online case discussions, combined with the strength of that student's network (social capital), can be used as predictors of performance in relevant settings. By using social network analysis, researchers can analyze the social structure of an online course and reveal important information about students' and teachers' interactions that can be valuable in guiding teachers, improve students' engagement, and contribute to learning analytics insights.

School Physics Teacher Class Management, Laboratory Practice, Student Engagement, Critical Thinking, Cooperative Learning and Use of Simulations Effects on Student Performance

ERIC Educational Resources Information Center

Riaz, Muhammad

2015-01-01

The purpose of this study was to examine how simulations in physics class, class management, laboratory practice, student engagement, critical thinking, cooperative learning, and use of simulations predicted the percentage of students achieving a grade point average of B or higher and their academic performance as reported by teachers in secondary…

Testing the Importance of Individual Growth Curves in Predicting Performance on a High-Stakes Reading Comprehension Test in Florida. Summary. REL 2014-006

ERIC Educational Resources Information Center

Petscher, Yaacov; Kershaw, Sarah; Koon, Sharon; Foorman, Barbara R.

2014-01-01

Districts and schools use progress monitoring to assess student progress, to identify students who fail to respond to intervention, and to further adapt instruction to student needs. Researchers and practitioners often use progress monitoring data to estimate student achievement growth (slope) and evaluate changes in performance over time for…

The Role of Mathematical Homework and Prior Knowledge on the Relationship between Students' Mathematical Performance, Cognitive Style and Working Memory Capacity

ERIC Educational Resources Information Center

Mousavi, Shima; Radmehr, Farzad; Alamolhodaei, Hasan

2012-01-01

Introduction: The main objective of this study is (a) to investigate whether cognitive styles and working memory capacity could predict mathematical performance and which variable is relatively most important in predicting mathematical performance and b) to explore whether cognitive styles and working memory capacity could predict mathematical…

The impact of fraction magnitude knowledge on algebra performance and learning.

PubMed

Booth, Julie L; Newton, Kristie J; Twiss-Garrity, Laura K

2014-02-01

Knowledge of fractions is thought to be crucial for success with algebra, but empirical evidence supporting this conjecture is just beginning to emerge. In the current study, Algebra 1 students completed magnitude estimation tasks on three scales (0-1 [fractions], 0-1,000,000, and 0-62,571) just before beginning their unit on equation solving. Results indicated that fraction magnitude knowledge, and not whole number knowledge, was especially related to students' pretest knowledge of equation solving and encoding of equation features. Pretest fraction knowledge was also predictive of students' improvement in equation solving and equation encoding skills. Students' placement of unit fractions (e.g., those with a numerator of 1) was not especially useful for predicting algebra performance and learning in this population. Placement of non-unit fractions was more predictive, suggesting that proportional reasoning skills might be an important link between fraction knowledge and learning algebra. Copyright © 2013 Elsevier Inc. All rights reserved.

Predicting Performance in Higher Education Using Proximal Predictors.

PubMed

Niessen, A Susan M; Meijer, Rob R; Tendeiro, Jorge N

2016-01-01

We studied the validity of two methods for predicting academic performance and student-program fit that were proximal to important study criteria. Applicants to an undergraduate psychology program participated in a selection procedure containing a trial-studying test based on a work sample approach, and specific skills tests in English and math. Test scores were used to predict academic achievement and progress after the first year, achievement in specific course types, enrollment, and dropout after the first year. All tests showed positive significant correlations with the criteria. The trial-studying test was consistently the best predictor in the admission procedure. We found no significant differences between the predictive validity of the trial-studying test and prior educational performance, and substantial shared explained variance between the two predictors. Only applicants with lower trial-studying scores were significantly less likely to enroll in the program. In conclusion, the trial-studying test yielded predictive validities similar to that of prior educational performance and possibly enabled self-selection. In admissions aimed at student-program fit, or in admissions in which past educational performance is difficult to use, a trial-studying test is a good instrument to predict academic performance.

Work Ethic and Academic Performance: Predicting Citizenship and Counterproductive Behavior

ERIC Educational Resources Information Center

Meriac, John P.

2012-01-01

In this study, work ethic was examined as a predictor of academic performance, compared with standardized test scores and high school grade point average (GPA). Academic performance was expanded to include student organizational citizenship behavior (OCB) and student counterproductive behavior, comprised of cheating and disengagement, in addition…

Predicting Student Performance in a Collaborative Learning Environment

ERIC Educational Resources Information Center

Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol

2015-01-01

Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…

Key Skills Influencing Student Achievement

ERIC Educational Resources Information Center

Balch, Tonya; Gruenert, Steve

2009-01-01

A predictive, non-experimental, cross-sectional design (Johnson, 2001) was used to conduct a study to determine if elementary administrators' key counseling skills and select demographics predicted state-level student performance indicators in their respective schools. A secondary purpose of this study was to develop a valid and reliable on-line…

Student Buy-In Toward Formative Assessments: The Influence of Student Factors and Importance for Course Success †

PubMed Central

Brazeal, Kathleen R.; Couch, Brian A.

2017-01-01

Formative assessment (FA) techniques, such as pre-class assignments, in-class activities, and post-class homework, have been shown to improve student learning. While many students find these techniques beneficial, some students may not understand how they support learning or may resist their implementation. Improving our understanding of FA buy-in has important implications, since buy-in can potentially affect whether students fully engage with and learn from FAs. We investigated FAs in 12 undergraduate biology courses to understand which student characteristics influenced buy-in toward FAs and whether FA buy-in predicted course success. We administered a mid-semester survey that probed student perceptions toward several different FA types, including activities occurring before, during, and after class. The survey included closed-ended questions aligned with a theoretical framework outlining key FA objectives. We used factor analysis to calculate an overall buy-in score for each student and general linear models to determine whether certain characteristics were associated with buy-in and whether buy-in predicted exam scores and course grades. We found that unfixed student qualities, such as perceptions, behaviors, and beliefs, consistently predicted FA buy-in, while fixed characteristics, including demographics, previous experiences, and incoming performance metrics, had more limited effects. Importantly, we found that higher buy-in toward most FA types predicted higher exam scores and course grades, even when controlling for demographic characteristics and previous academic performance. We further discuss steps that instructors can take to maximize student buy-in toward FAs. PMID:28512523

Gender Performance Differences in Biochemistry

ERIC Educational Resources Information Center

Rauschenberger, Matthew M.; Sweeder, Ryan D.

2010-01-01

This study examined the historical performance of students at Michigan State University in a two-part biochemistry series Biochem I (n = 5,900) and Biochem II (n = 5,214) for students enrolled from 1997 to 2009. Multiple linear regressions predicted 54.9-87.5% of the variance in student from Biochem I grade and 53.8-76.1% of the variance in…

Early Prediction of Student Profiles Based on Performance and Gaming Preferences

ERIC Educational Resources Information Center

Barata, Gabriel; Gama, Sandra; Jorge, Joaquim; Gonçalves, Daniel

2016-01-01

State of the art research shows that gamified learning can be used to engage students and help them perform better. However, most studies use a one-size-fits-all approach to gamification, where individual differences and needs are ignored. In a previous study, we identified four types of students attending a gamified college course, characterized…

A Decision Support Prototype Tool for Predicting Student Performance in an ODL Environment

ERIC Educational Resources Information Center

Kotsiantis, S. B.; Pintelas, P. E.

2004-01-01

Machine Learning algorithms fed with data sets which include information such as attendance data, test scores and other student information can provide tutors with powerful tools for decision-making. Until now, much of the research has been limited to the relation between single variables and student performance. Combining multiple variables as…

Relations between Classroom Goal Structures and Students' Goal Orientations in Mathematics Classes: When Is a Mastery Goal Structure Adaptive?

ERIC Educational Resources Information Center

Skaalvik, Einar M.; Federici, Roger A.

2016-01-01

The purpose of this study was to test possible interactions between mastery and performance goal structures in mathematics classrooms when predicting students' goal orientations. More specifically, we tested if the degree of performance goal structure moderated the associations between mastery goal structure and students' goal orientations.…

Pain and Pleasure in Short Essay Writing: Factors Predicting University Students' Writing Anxiety and Writing Self-Efficacy

ERIC Educational Resources Information Center

Martinez, Christy Teranishi; Kock, Ned; Cass, Jeffrey

2011-01-01

Since the inception of the Writing Across the Curriculum movement more than 30 years ago, scholars have explored ways of enhancing students' writing performance. Faculty members across disciplines are often challenged by students' resistance to writing; resistance that may stem from anxiety, poor academic performance, and lack of recognition that…

Self-Efficacy Beliefs, Motivation, Race, and Gender in Middle School Science

NASA Astrophysics Data System (ADS)

Britner, Shari L.; Pajares, Frank

The purpose of this study was to discover whether the science motivation beliefs of middle school students (N = 262) vary as a function of their gender or race/ethnicity and to determine whether science self-efficacy beliefs predict science achievement when motivation variables shown to predict achievement in other academic areas are controlled. Girls reported stronger science self-efficacy and self-efficacy for self-regulation, and they received higher grades in science. Boys had stronger performance-approach goals. White students had stronger self-efficacy and achievement, and African American students reported stronger task goals. Self-efficacy was the only motivation variable to predict the science achievement of girls, boys, and White students. Self-efficacy and self-concept predicted the science achievement of African American students. Results are interpreted from the perspective of Bandura's social cognitive theory.

A Comparison Between the Time-Management Skills and Academic Performance of Mature and Traditional-Entry University Students.

ERIC Educational Resources Information Center

Trueman, Mark; Hartley, James

1996-01-01

A study of first-time university students, aged under 21 (n=172), 21-25 (n=50), and over 25 years (n=71) found that women in general reported more time-management skills than men and that older students had better time-management skills than younger students. Academic performance was only modestly predicted by age and scores on one component of…

The Role of Informal Parent and Teacher Assessment in Diagnosing Learning Disabilities.

ERIC Educational Resources Information Center

Sikora, Darryn M.; Plapinger, Donald S.

1997-01-01

This study compared parent and teacher perceptions of academic performance and cognitive deficits with the standardized test performance of 19 students (ages 7-13) with hearing impairments. Results indicate that parents and educators were equally skilled in predicting academic performance, but had greater difficulty predicting specific cognitive…

Four Dimensions of Student Leadership: What Predicts Students' Attitudes toward Leadership Development?

ERIC Educational Resources Information Center

Shertzer, John; Wall, Vernon; Frandsen, Alisa; Guo, Yan; Whalen, Donald F.; Shelley, Mack C., II

2005-01-01

Multiple regression was performed on four dependent variables derived from the results of a student survey measuring attitudes about student leadership: (a) leadership is important to the student, (b) the student considers himself or herself to be a leader, (c) leadership will be important to the student after college, and (d) leaders need to be…

Initial Progress Rates as Related to Performance in a Personalized System of Instruction

ERIC Educational Resources Information Center

Henneberry, John K.

1976-01-01

Discusses research which explored the hypothesis that students who are fast starters in a personalized system of instruction psychology course would perform better and maintain faster course progress rates than slow starters. Findings indicate that students' starting pace is predictive of course performance and subsequent progress rates.…

Unrealistic Optimism in the Pursuit of Academic Success

ERIC Educational Resources Information Center

Lewine, Rich; Sommers, Alison A.

2016-01-01

Although the ability to evaluate one's own knowledge and performance is critical to learning, the correlation between students' self-evaluation and actual performance measures is modest at best. In this study we examine the effect of offering extra credit for students' accurate prediction (self-accuracy) of their performance on four exams in two…

Intelligence and Scientific-Creative Thinking: Their Convergence in the Explanation of Students' Academic Performance

ERIC Educational Resources Information Center

Ruiz, Maria Jose; Bermejo, Rosario; Ferrando, Mercedes; Prieto, Maria Dolores; Sainz, Marta

2014-01-01

Introduction: Academic performance is usually generally explained by student's intelligence, although other factors such as personality and motivation also account for it. Factors associated with a more complex thought process in adolescence are also beginning to gain importance in the prediction of academic performance. Among these forms of…

The relationship between approaches to study and academic performance among Australian undergraduate occupational therapy students.

PubMed

Brown, Ted; Murdolo, Yuki

2017-06-01

The academic success and degree completion of tertiary students depends on their academic performance (AP), commonly measured by the percentage grades for the units they complete. No research has examined whether occupational therapy students' approaches to study are predictive of their AP. This study investigated whether approaches to study were predictive of the AP among a group of Australian undergraduate occupational therapy students. A total of 376 undergraduate occupational therapy students completed the Approaches and Study Skills Inventory for Students (ASSIST). Regression analysis was conducted using a range of demographic characteristics and the ASSIST scores as independent variables with students' self-reported by their self-reported mean percentage grade range (as a proxy indicator of their AP) as the dependent variable. The deep and the strategic approaches to study were not significantly correlated with occupational therapy students' AP. The ASSIST fear of failure subscale of the surface approach to study had a unique contribution to AP, accounting for 1.3% of its total variance. Occupational therapy students' year level of enrolment made a unique contribution to their AP, accounting for 4.2% of the total variance. Age and gender made a unique contribution to AP as well although their impact was small. Undergraduate occupational therapy students' approaches to study were predictive of their AP to a very limited degree. However, their AP was predicted by a number of demographic variables, including age, gender and year level of enrolment. Further study in this area is recommended. © 2016 Occupational Therapy Australia.

Predicting End-of-Year Achievement Test Performance: A Comparison of Assessment Methods

ERIC Educational Resources Information Center

Kettler, Ryan J.; Elliott, Stephen N.; Kurz, Alexander; Zigmond, Naomi; Lemons, Christopher J.; Kloo, Amanda; Shrago, Jacqueline; Beddow, Peter A.; Williams, Leila; Bruen, Charles; Lupp, Lynda; Farmer, Jeanie; Mosiman, Melanie

2014-01-01

Motivated by the multiple-measures clause of recent federal policy regarding student eligibility for alternate assessments based on modified academic achievement standards (AA-MASs), this study examined how scores or combinations of scores from a diverse set of assessments predicted students' end-of-year proficiency status on statewide achievement…

Self-determination, behavioral engagement, disaffection, and academic performance: a mediational analysis.

PubMed

González, Antonio; Paoloni, Paola Verónica

2014-11-14

The present study examined the role of behavioral engagement and disaffection as mediators between self-determination and academic performance. Participants were 545 secondary students (53.4% girls) aged 12 to 19 years. Variables were assessed in the Spanish language classroom over a nine-month period. Students estimated their self-determination, and their teachers assessed student engagement, disaffection, and performance. Structural equation models corroborated the hypotheses: the types of self-determination differentially predicted engagement (R 2 = .39) and disaffection (R 2 = .24), and were progressively more adaptive the higher the autonomy; self-determination, behavioral engagement, and disaffection predicted performance (R 2 = .43); engagement and disaffection partially mediated the relationship from external regulation (β = -.097; p < .002; Confidence Interval = -.177, -.051), identified regulation (β = .109; p < .006; CI = .054, .165), and intrinsic motivation (β = .139; p < .002; CI = .086, .206) to performance. The implications of these findings for current theory and educational intervention are discussed.

Performance Comparison of Student-Athletes and General College Students on the Functional Movement Screen and the Y Balance Test.

PubMed

Engquist, Katherine D; Smith, Craig A; Chimera, Nicole J; Warren, Meghan

2015-08-01

Although various studies have assessed performance of athletes on the Functional Movement Screen (FMS) and the Y Balance Test (YBT), no study to date has directly evaluated a comparison of performance between athletes and members of the general population. Thus, to better understand the application of the FMS and the YBT to general college students, this study examined whether or not general college students performed similarly to student-athletes on the FMS (composite and movement pattern scores) and the YBT (composite and reach directions). This study evaluated 167 Division I student-athletes and 103 general college students from the same university on the FMS and the YBT. No difference was found in FMS composite scores between student-athletes and general college students. For FMS movement patterns, female student-athletes scored higher than general college students in the deep squat. No difference was found for men in any FMS movement pattern. Female student-athletes scored higher than female general college students in YBT composite scores; no difference was found for men in YBT composite scores. In analysis of YBT reach directions, female student-athletes scored higher than female general college students in all reach directions, whereas no difference was found in men. Existing research on the FMS composite score in athletic populations may apply to a general college population for the purposes of preparticipation screening, injury prediction, etc. Existing research on the YBT in male athletic populations is expected to apply equally to general college males for the purposes of preparticipation screening, injury prediction, etc.

Predicting the clinical performance of dental students with a manual dexterity test

PubMed Central

Lugassy, Diva; Levanon, Yafi; Pilo, Raphael; Shelly, Asaf; Rosen, Gal; Meirowitz, Avi

2018-01-01

Dentists must be skilled when using dental mirrors. Working with mirrors requires spatial perception, bimanual coordination, perceptual learning and fine motor skills. Many studies have attempted to determine the predictors of manual skills among pre-clinical students, but consensus has yet to be reached. We hypothesized that valid and reliable occupational therapy test performance regarding indirect vision would differ between dental students and junior dentists and would explain the variance in manual skill performance in pre-clinical courses. To test this hypothesis, we applied the Purdue Pegboard test and O’Connor Tweezer Dexterity test under different conditions of direct and indirect vision. We administered these tests to students in phantom-head academic courses in 2015 and 2016 and to junior dentists. Students performed the tests at three time points: before phantom training (T0), at the end of the training (T1) and in the middle of the following year of study (T2). Dentists performed the same tests twice at 1st and 2nd trials one week apart. The results showed that indirect tasks were significantly more difficult to perform for both groups. These dexterity tests were sensitive enough to detect students’ improvement after phantom training. The dentists’ performances were significantly better than those of students at T0, specifically with regard to the use of tweezers under direct and indirect vision (the O’Connor test). A regression analysis showed that students’ manual grades obtained at the beginning of the phantom course, their performance on the Purdue test using both hands, and their performance on the O’Connor test under indirect vision predicted phantom course success in 80% of cases. The O’Connor test under indirect vision is the most informative means of monitoring and predicting the manual skills required in the pre-clinical year of dentistry studies. PMID:29518127

College students' memory for vocabulary in their majors: evidence for a nonlinear relation between knowledge and memory.

PubMed

DeMarie, Darlene; Aloise-Young, Patricia A; Prideaux, Cheri L; Muransky-Doran, Jean; Gerda, Julie Hart

2004-09-01

The effect of domain knowledge on students' memory for vocabulary terms was investigated. Participants were 142 college students (94 education majors and 48 business majors). The measure of domain knowledge was the number of courses completed in the major. Students recalled three different lists (control, education, and business) of 20 words. Knowledge effects were estimated controlling for academic aptitude, academic achievement, and general memory ability. Domain-specific knowledge consistently predicted recall, above and beyond the effect of these control variables. Moreover, nonlinear models better represented the relation between knowledge and memory, with very similar functions predicting recall in both knowledge domains. Specifically, early in the majors more classes corresponded with increased memory performance, but a plateau period, when more classes did not result in higher recall, was evident for both majors. Longitudinal research is needed to explore at what point in learning novices' performance begins to resemble experts' performance.

Emotional Intelligence and Personality Traits as Predictors of Occupational Therapy students' Practice Education Performance: A Cross-Sectional Study.

PubMed

Brown, Ted; Williams, Brett; Etherington, Jamie

2016-12-01

This study investigated whether occupational therapy students' emotional intelligence and personality traits are predictive of specific aspects of their fieldwork performance. A total of 114 second and third year undergraduate occupational therapy students (86.6% response rate) completed the Genos Emotional Intelligence Inventory (Genos EI) and the Ten-Item Personality Inventory (TIPI). Fieldwork performance scores were obtained from the Student Practice Evaluation Form Revised (SPEF-R). Linear regressions were completed with the SPEF-R domains being the dependent variables and the Genos EI and TIPI factors being the independent variables. Regression analysis results revealed that the Genos EI subscales of Emotional Management of Others (EMO), Emotional Awareness of Others (EAO), Emotional Expression (EEX) and Emotional Reasoning (ERE) were significant predictors of various domains of students' fieldwork performance. EAO and ERE were significant predictors of students' Communication Skills accounting for 4.6% of its variance. EMO, EAO, EEX and ERE were significant predictors of students' Documentation Skills explaining 6.8% of its variance. EMO was a significant predictor of students' Professional Behaviour accounting for 3.2% of its variance. No TIPI factors were found to be significant predictors of the SPEF-R domains. Occupational therapy students' emotional intelligence was a significant predictor of components of their fieldwork performance while students' personality traits were not. The convenience sampling approach used, small sample size recruited and potential issue of social desirability of the self-reported Genos EI and TIPI data are acknowledged as study limitations. It is recommended that other studies be completed to investigate if any other relevant constructs or factors are predictive of occupational therapy students' fieldwork performance. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

The Influence of Self-Efficacy and Motivational Factors on Academic Performance in General Chemistry Course: A Modeling Study

ERIC Educational Resources Information Center

Alci, Bulent

2015-01-01

This study aims to determine the predictive and explanatory model in terms of university students' academic performance in "General Chemistry" course and their motivational features. The participants were 169 university students in the 1st grade at university. Of the participants, 132 were female and 37 were male students. Regarding…

Predicting Students' Academic Performance Based on School and Socio-Demographic Characteristics

ERIC Educational Resources Information Center

Thiele, Tamara; Singleton, Alexander; Pope, Daniel; Stanistreet, Debbi

2016-01-01

Students' trajectories into university are often uniquely dependent on school qualifications though these alone are limited as predictors of academic potential. This study endorses this, examining associations between school grades, school type, school performance, socio-economic deprivation, neighbourhood participation, sex and academic…

How students' achievement goals shape their beliefs about effective teaching: a 'build-a-professor' study.

PubMed

Senko, Corwin; Belmonte, Kimberly; Yakhkind, Anastasyia

2012-09-01

Which instructor qualities do students consider most important? The answer likely depends on the student. This study attempted to trace beliefs about the most essential instructor qualities to students' academic achievement goals. The present study tested the hypothesis that students pursuing mastery goals favour instructors who stimulate and challenge them intellectually, whereas those pursuing performance goals favour instructors who present material clearly and provide clear cues about how to succeed. Participants were 157 students at a 4-year public university. Participants designed the ideal professor through a hypothetical combination of nine widely valued instructor qualities, such as enthusiasm, presentation clarity, and an interactive teaching style. The more they acquired of any one instructor quality, the less they could acquire of the others, thus compelling students to distinguish necessary qualities from desirable luxury qualities. Students' achievement goals corresponded to their views about the most essential instructor qualities. Mastery goals predicted greater demand for professors who intellectually challenge students and possess topic expertise, whereas performance goals predicted high demand for professors who present material clearly and provide cues about how to succeed in the course. The findings support emerging theorizing about how mastery and performance goals nudge students to pursue different learning agendas, with distinct consequences to their learning experience. ©2011 The British Psychological Society.

Adding to the Education Debt: Depressive Symptoms Mediate the Association between Racial Discrimination and Academic Performance in African Americans

PubMed Central

English, Devin; Lambert, Sharon F.; Ialongo, Nicholas S.

2015-01-01

Although the United States faces a seemingly intractable divide between white and African American academic performance, there remains a dearth of longitudinal research investigating factors that work to maintain this gap. The present study examined whether racial discrimination predicted the academic performance of African American students through its effect on depressive symptoms. Participants were a community sample of African American adolescents (N = 495) attending urban public schools from grade 7 to grade 9 (Mage = 12.5). Structural equation modeling revealed that experienced racial discrimination predicted increases in depressive symptoms 1 year later, which, in turn, predicted decreases in academic performance the following year. These results suggest that racial discrimination continues to play a critical role in the academic performance of African American students and, as such, contributes to the maintenance of the race-based academic achievement gap in the United States. PMID:27425564

Effects of Academic Mindsets on College Students' Achievement and Retention

ERIC Educational Resources Information Center

Han, Cheon-woo; Farruggia, Susan P.; Moss, Thomas P.

2017-01-01

Noncognitive factors, such as academic self-efficacy, motivation, and sense of belonging, predict college students' academic performance and retention. It is unclear if varying profiles of academic mindset are differentially associated with student success. We examined first-year college students' academic mindsets (perceived academic…

Predicting Success of Developmental Math Students

ERIC Educational Resources Information Center

Martinez, Isaac

2017-01-01

Addressing the needs of developmental math students has been one of the most challenging problems in higher education. Administrators at a private university were concerned about poor academic performance of math-deficient students and sought to identify factors that influenced students' successful progression from developmental to college-level…

Early Prediction of Student Dropout and Performance in MOOCSs Using Higher Granularity Temporal Information

ERIC Educational Resources Information Center

Ye, Cheng; Biswas, Gautam

2014-01-01

Our project is motivated by the early dropout and low completion rate problem in MOOCs. We have extended traditional features for MOOC analysis with richer and higher granularity information to make more accurate predictions of dropout and performance. The results show that finer-grained temporal information increases the predictive power in the…

Teacher Behaviours Explaining Turkish and Dutch Students' Mathematic Achievements

ERIC Educational Resources Information Center

Yalçin, Seher

2017-01-01

The purpose of this study was to examine the differences between Turkish and Dutch students' mathematics achievement and to examine the predictive level of teacher behaviours for student performance. The participants were 3210 students and principals from 168 schools in Turkey and 2541 students and principals from 156 schools in the Netherlands,…

MCAT Verbal Reasoning score: less predictive of medical school performance for English language learners.

PubMed

Winegarden, Babbi; Glaser, Dale; Schwartz, Alan; Kelly, Carolyn

2012-09-01

Medical College Admission Test (MCAT) scores are widely used as part of the decision-making process for selecting candidates for admission to medical school. Applicants who learned English as a second language may be at a disadvantage when taking tests in their non-native language. Preliminary research found significant differences between English language learners (ELLs), applicants who learned English after the age of 11 years, and non-ELL examinees on the Verbal Reasoning (VR) sub-test of the MCAT. The purpose of this study was to determine if relationships between VR sub-test scores and measures of medical school performance differed between ELL and non-ELL students. Scores on the MCAT VR sub-test and student performance outcomes (grades, examination scores, and markers of distinction and difficulty) were extracted from University of California San Diego School of Medicine admissions files and the Association of American Medical Colleges database for 924 students who matriculated in 1998-2005 (graduation years 2002-2009). Regression models were fitted to determine whether MCAT VR sub-test scores predicted medical school performance similarly for ELLs and non-ELLs. For several outcomes, including pre-clerkship grades, academic distinction, US Medical Licensing Examination Step 2 Clinical Knowledge scores and two clerkship shelf examinations, ELL status significantly affects the ability of the VR score to predict performance. Higher correlations between VR score and medical school performance emerged for non-ELL students than for ELL students for each of these outcomes. The MCAT VR score should be used with discretion when assessing ELL applicants for admission to medical school. © Blackwell Publishing Ltd 2012.

Gender and Attraction: Predicting Middle School Performance Ensemble Participation

ERIC Educational Resources Information Center

Warnock, Emery C.

2009-01-01

This study was designed to predict middle school sixth graders' group membership in band (n = 81), chorus (n = 45), and as non-participants in music performance ensembles (n = 127), as determined by gender and factors on the Attraction Toward School Performance Ensemble (ATSPE) scale (alpha = 0.88). Students completed the ATSPE as elementary fifth…

Evaluating outcomes of computer-based classroom testing: Student acceptance and impact on learning and exam performance.

PubMed

Zheng, Meixun; Bender, Daniel

2018-03-13

Computer-based testing (CBT) has made progress in health sciences education. In 2015, the authors led implementation of a CBT system (ExamSoft) at a dental school in the U.S. Guided by the Technology Acceptance Model (TAM), the purposes of this study were to (a) examine dental students' acceptance of ExamSoft; (b) understand factors impacting acceptance; and (c) evaluate the impact of ExamSoft on students' learning and exam performance. Survey and focus group data revealed that ExamSoft was well accepted by students as a testing tool and acknowledged by most for its potential to support learning. Regression analyses showed that perceived ease of use and perceived usefulness of ExamSoft significantly predicted student acceptance. Prior CBT experience and computer skills did not significantly predict acceptance of ExamSoft. Students reported that ExamSoft promoted learning in the first program year, primarily through timely and rich feedback on examination performance. t-Tests yielded mixed results on whether students performed better on computerized or paper examinations. The study contributes to the literature on CBT and the application of the TAM model in health sciences education. Findings also suggest ways in which health sciences institutions can implement CBT to maximize its potential as an assessment and learning tool.

Factor Structure and Predictive Validity of a Homework Motivation Measure for Use With Middle School Students With Attention-Deficit/Hyperactivity Disorder (ADHD).

PubMed

Langberg, Joshua M; Smith, Zoe R; Dvorsky, Melissa R; Molitor, Stephen J; Bourchtein, Elizaveta; Eddy, Laura D; Eadeh, Hana-May; Oddo, Lauren E

2017-08-31

Many students with attention-deficit/hyperactivity disorder (ADHD) exhibit deficits in motivation to pursue long-term goals. Students with ADHD have particular difficulty with motivation to complete homework-related tasks and often fail to complete assignments. Although these problems are common and may impact academic performance, no homework-motivation measures have been validated for use with students with ADHD. The primary goal of the present study was to evaluate the factor structure and predictive validity of a homework-motivation measure based upon the expectancy-value theory of achievement motivation. A sample of 285 middle school students with ADHD completed the measure, and confirmatory factor analysis was used to evaluate the proposed factor structure and associations with parent and teacher ratings of homework performance. A 2-factor structure emerged, and model fit was excellent. Further, student-rated ability-expectancy beliefs demonstrated significant associations with parent-rated homework problems and performance and with teacher-rated homework performance and percentage of assignments turned in above and beyond ADHD symptoms. Future directions for studying the importance of motivation in students with ADHD are provided, with particular attention to the role that reward sensitivity may play in motivation. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Test-Enhanced Learning in an Immunology and Infectious Disease Medicinal Chemistry/Pharmacology Course.

PubMed

Hernick, Marcy

2015-09-25

Objective. To develop a series of active-learning modules that would improve pharmacy students' performance on summative assessments. Design. A series of optional online active-learning modules containing questions with multiple formats for topics in a first-year (P1) course was created using a test-enhanced learning approach. A subset of module questions was modified and included on summative assessments. Assessment. Student performance on module questions improved with repeated attempts and was predictive of student performance on summative assessments. Performance on examination questions was higher for students with access to modules than for those without access to modules. Module use appeared to have the most impact on low performing students. Conclusion. Test-enhanced learning modules with immediate feedback provide pharmacy students with a learning tool that improves student performance on summative assessments and also may improve metacognitive and test-taking skills.

Mental health predicts better academic outcomes: a longitudinal study of elementary school students in Chile.

PubMed

Murphy, J Michael; Guzmán, Javier; McCarthy, Alyssa E; Squicciarini, Ana María; George, Myriam; Canenguez, Katia M; Dunn, Erin C; Baer, Lee; Simonsohn, Ariela; Smoller, Jordan W; Jellinek, Michael S

2015-04-01

The world's largest school-based mental health program, Habilidades para la Vida [Skills for Life (SFL)], has been operating on a national scale in Chile for 15 years. SFL's activities include using standardized measures to screen elementary school students and providing preventive workshops to students at risk for mental health problems. This paper used SFL's data on 37,397 students who were in first grade in 2009 and third grade in 2011 to ascertain whether first grade mental health predicted subsequent academic achievement and whether remission of mental health problems predicted improved academic outcomes. Results showed that mental health was a significant predictor of future academic performance and that, overall, students whose mental health improved between first and third grade made better academic progress than students whose mental health did not improve or worsened. Our findings suggest that school-based mental health programs like SFL may help improve students' academic outcomes.

Academic Performance and Learning Style Self-Predictions by Second Language Students in an Introductory Biology Course

ERIC Educational Resources Information Center

Breckler, Jennifer; Teoh, Chia Shan; Role, Kemi

2011-01-01

Academic success in first-year college science coursework can strongly influence future career paths and usually includes a solid performance in introductory biology. We wanted to know whether factors affecting biology student performance might include learning style preferences and one's ability and confidence in self-assessing those learning…

A Comparison of the Predictive Validity of the MCAT for Coached and Uncoached Students.

ERIC Educational Resources Information Center

Jones, Robert F.

1986-01-01

A study that addressed the question of whether coaching for the MCAT biases the relationship between test performance and medical school performance is described. The criterion used was whether or not a student experienced academic problems in medical school. (MLW)

Class modality, student characteristics, and performance in a community college introductory STEM course

NASA Astrophysics Data System (ADS)

Fogle, Thomas Ty

Research on introductory STEM course performance has indicated that student characteristics (age, ethnicity and gender) and Grade Point Average (G.P.A.) can be predictive of student performance, and by implication, a correlation among these factors can help determine course design interventions to help certain types of students perform well in introductory STEM courses. The basis of this study was a community college Visual Basic programming course taught in both online and hybrid format. Beginning students in this course represented a diverse population residing in a large, mid-western, city and surrounding communities. Many of these students were defined as "at-Risk" or "non-traditional, which generally means any combination of socio-economic, cultural, family and employment factors that indicate a student is non-traditional. Research has shown these students struggle academically in technologically dense STEM courses, and may require student services and support to achieve their individual performance goals. The overall number in the study range was 392 distance students and 287 blended course students. The main question of this research was to determine to what extent student characteristics in a community college context, and previous success, as measured in overall G.P.A., were related to course performance in an introductory Visual Basic programming (STEM) course; and, whether or not a combination of these factors and course modality was predictive of success. The study employed a quantitative, quasi-experimental design to assess whether students' course performance was linked to course modality, student characteristics and overall G.P.A. The results indicated that the only predictor of student performance was overall G.P.A. Despite the research analyzed in Chapter 2, there was no statistically significant relationship to modality, age, ethnicity, or gender to performance in the course. Cognitive load is significant in a computer programming course and it was theorized that would be expanded in an online context. However, the results of the analysis showed that course modality did not affect the chances of students performing well. Internal validity constraints may have contributed to the results, as the course is highly controlled and modularized in both online and hybrid format, and taught by few instructors, all of whom are available for face to face problem solving for both online and hybrid students.

Engaging Students Emotionally: The Role of Emotional Intelligence in Predicting Cognitive and Affective Engagement in Higher Education

ERIC Educational Resources Information Center

Maguire, Rebecca; Egan, Arlene; Hyland, Philip; Maguire, Phil

2017-01-01

Student engagement is a key predictor of academic performance, persistence and retention in higher education. While many studies have identified how aspects of the college environment influence engagement, fewer have specifically focused on emotional intelligence (EI). In this study, we sought to explore whether EI could predict cognitive and/or…

Matching Pupils and Teachers to Maximize Expected Outcomes.

ERIC Educational Resources Information Center

Ward, Joe H., Jr.; And Others

To achieve a good teacher-pupil match, it is necessary (1) to predict the learning outcomes that will result when each student is instructed by each teacher, (2) to use the predicted performance to compute an Optimality Index for each teacher-pupil combination to indicate the quality of each combination toward maximizing learning for all students,…

Evaluation of the Motivated Strategies for Learning Questionnaire for Predicting Academic Performance in College Students of Varying Scholastic Aptitude

ERIC Educational Resources Information Center

Burlison, Jonathan D.; Murphy, Chanda S.; Dwyer, William O.

2009-01-01

All 15 subscales of the Motivated Strategies for Learning Questionnaire (Pintrich, Smith, Garcia, & McKeachie, 1993) were administered to 352 undergraduate students taking Introductory Psychology. Their scores were evaluated with respect to incremental validity (in addition to ACT scores) they provided for predicting course grades. Results…

Value of College Education Mediating the Predictive Effects of Causal Attributions on Academic Success

ERIC Educational Resources Information Center

Dong, Ying; Stupnisky, Robert H.; Obade, Masela; Gerszewski, Tammy; Ruthig, Joelle C.

2015-01-01

Causal attributions (explanations for outcomes) have been found to predict college students' academic success; however, not all students attributing success or failure to adaptive (i.e., controllable) causes perform well in university. Eccles et al.'s ("Achievement and achievement motives." W.H. Freeman, San Francisco, pp 75-145, 1983)…

Predictive Effects of Online Peer Feedback Types on Performance Quality

ERIC Educational Resources Information Center

Yu, Fu-Yun; Wu, Chun-Ping

2013-01-01

This study examined the individual and combined predictive effects of two types of feedback (i.e., quantitative ratings and descriptive comments) in online peer-assessment learning systems on the quality of produced work. A total of 233 students participated in the study for six weeks. An online learning system that allows students to contribute…

Problems and Methods of Teaching and Assessment of Students on Day Release in Higher Education.

ERIC Educational Resources Information Center

Trotman-Dickenson, Danusia

1980-01-01

Part-time students' characteristics and teaching and testing preferences were correlated with performance on a standardized economics exam. Learning modules are described. Methods of pinpointing student weaknesses and predicting students' final results are discussed as they relate to other subjects. (MSE)

The Power of Student Empowerment: Measuring Classroom Predictors and Individual Indicators

ERIC Educational Resources Information Center

Kirk, Chris Michael; Lewis, Rhonda K.; Brown, Kyrah; Karibo, Brittany; Park, Elle

2016-01-01

Despite spending more money per student than almost all developed nations, the United States lags behind in educational indicators with persistent disparities between privileged and marginalized students. Most approaches have ignored the role of power dynamics in predicting student performance. Building on the existing literature in school climate…

The Prediction of Students' Academic Performance With Fluid Intelligence in Giving Special Consideration to the Contribution of Learning.

PubMed

Ren, Xuezhu; Schweizer, Karl; Wang, Tengfei; Xu, Fen

2015-01-01

The present study provides a new account of how fluid intelligence influences academic performance. In this account a complex learning component of fluid intelligence tests is proposed to play a major role in predicting academic performance. A sample of 2, 277 secondary school students completed two reasoning tests that were assumed to represent fluid intelligence and standardized math and verbal tests assessing academic performance. The fluid intelligence data were decomposed into a learning component that was associated with the position effect of intelligence items and a constant component that was independent of the position effect. Results showed that the learning component contributed significantly more to the prediction of math and verbal performance than the constant component. The link from the learning component to math performance was especially strong. These results indicated that fluid intelligence, which has so far been considered as homogeneous, could be decomposed in such a way that the resulting components showed different properties and contributed differently to the prediction of academic performance. Furthermore, the results were in line with the expectation that learning was a predictor of performance in school.

Personality and academic performance of three cohorts of veterinary students in South Africa.

PubMed

van der Walt, H S; Pickworth, Glynis

2007-01-01

To aid in selecting students for admission to undergraduate veterinary training, admissions procedures often take into account students' previous academic performance as well as the results of an interview. The study reported here investigated the relationship between personality and academic success. Students from three entry cohorts to the second year of study of a six-year BVSc program at the University of Pretoria completed the 16 Personality Factor Questionnaire. A meta-analytic approach was used to estimate the relationship between academic performance in two major final-year subjects and academic performance on entry, an interview score, and the personality factors. The study confirmed the value of previous academic performance and the interview in selecting students for the veterinary degree program. The findings also indicate that the inclusion of a measure of intellectual ability could be of value. The value of various personality characteristics in predicting good study habits and examination performance is highlighted by the study results: students were more successful if they were conscientious, emotionally stable, socially adept, self-disciplined, practical rather than imaginative, and relaxed rather than anxious. It appears worthwhile to consider including an appropriate personality questionnaire in the selection process to improve the accuracy of predictions of students' success. A sound personality make-up will not only increase the likelihood of academic success but should also be beneficial in the successful management of a veterinary practice and in enjoying veterinary science as a career.

How learning analytics can early predict under-achieving students in a blended medical education course.

PubMed

Saqr, Mohammed; Fors, Uno; Tedre, Matti

2017-07-01

Learning analytics (LA) is an emerging discipline that aims at analyzing students' online data in order to improve the learning process and optimize learning environments. It has yet un-explored potential in the field of medical education, which can be particularly helpful in the early prediction and identification of under-achieving students. The aim of this study was to identify quantitative markers collected from students' online activities that may correlate with students' final performance and to investigate the possibility of predicting the potential risk of a student failing or dropping out of a course. This study included 133 students enrolled in a blended medical course where they were free to use the learning management system at their will. We extracted their online activity data using database queries and Moodle plugins. Data included logins, views, forums, time, formative assessment, and communications at different points of time. Five engagement indicators were also calculated which would reflect self-regulation and engagement. Students who scored below 5% over the passing mark were considered to be potentially at risk of under-achieving. At the end of the course, we were able to predict the final grade with 63.5% accuracy, and identify 53.9% of at-risk students. Using a binary logistic model improved prediction to 80.8%. Using data recorded until the mid-course, prediction accuracy was 42.3%. The most important predictors were factors reflecting engagement of the students and the consistency of using the online resources. The analysis of students' online activities in a blended medical education course by means of LA techniques can help early predict underachieving students, and can be used as an early warning sign for timely intervention.

A Multilevel Multivariate Analysis of Academic Performances in College Based on NCAA Student-Athletes

ERIC Educational Resources Information Center

McArdle, John J.; Paskus, Thomas S.; Boker, Steven M.

2013-01-01

This is an application of contemporary multilevel regression modeling to the prediction of academic performances of 1st-year college students. At a first level of analysis, the data come from N greater than 16,000 students who were college freshman in 1994-1995 and who were also participants in high-level college athletics. At a second level of…

Love and Other Grades: A Study of the Effects of Romantic Relationship Status on the Academic Performance of University Students

ERIC Educational Resources Information Center

Schmidt, Julia; Lockwood, Brian

2017-01-01

Of the few studies that have examined the effects of romantic relationships on academic performance, most have been concerned with adolescent students. This study analyzes a data set of more than 300 students at a midsized, private University in the northeast United States to determine if participating in a romantic relationship predicts grade…

Emotional variables, dropout and academic performance in Spanish nursing students.

PubMed

Roso-Bas, Fátima; Pades Jiménez, Antonia; García-Buades, Esther

2016-02-01

The dropout of university studies is a main concern in many countries, also for Health Sciences degrees. The reviews on dropout in all university degrees as well as nursing generally show multidimensional causes with factors related both to institutional and students' characteristics. Regarding the personal variables of students, researchers have focused on financial, family and personality features. Far less attention has been devoted to emotional variables. This study aims to explore whether individual variables of the emotional domain such as perceived emotional intelligence, dispositional optimism/pessimism and depressive rumination are related and/or can predict students' intention to dropout and academic performance. Using a cross-correlational approach, data were obtained from a sample of 144 nursing students. Students with a pessimistic disposition revealed a greater tendency to drop out. The remaining variables correlated significantly with pessimism but had no predictive value on dropout. Our results suggest that students with low levels of emotional clarity and repair and high depressive rumination have pessimistic expectations, so they are more likely to leave studies. No significant results were found in relation to academic performance. We conclude with an identification of strategies to increase retention and academic success. Copyright © 2015 Elsevier Ltd. All rights reserved.

Analysis of Eighth Graders' Performance On Standardized Mathematics Tests.

ERIC Educational Resources Information Center

Meyinsse, Joseph; Tashakkori, Abbas

The main objective of this study was to show whether eighth graders' performance on standardized mathematics tests could be predicted from a variety of variables. These predictors included the students' race/ethnicity, gender, attitudes toward mathematics, students' time spent on homework, whether parents helped with homework assignments,…

The Overconfident Principles of Economics Student: An Examination of a Metacognitive Skill.

ERIC Educational Resources Information Center

Grimes, Paul W.

2002-01-01

Examined the effect of demographic characteristics, academic endowments, course preparation, and course performance variables on the accuracy of pretest expectations when asking students to predict their performance on a regularly scheduled macroeconomics midterm examination. Finds overconfidence and misjudgments about the scope of the midterm…

Meditation in Higher Education: Does It Enhance Cognition?

ERIC Educational Resources Information Center

Helber, Casey; Zook, Nancy A.; Immergut, Matthew

2012-01-01

We predicted that students in a sociology course that included contemplative practices (i.e., mindfulness meditation) would show an increase in performance on higher level cognitive abilities (executive functions) over the semester compared to a control group of students. Change in executive functions performance was not significantly different…

Using Growth Rate of Reading Fluency to Predict Performance on Statewide Achievement Tests

ERIC Educational Resources Information Center

Hinkle, Rachelle Whittaker

2011-01-01

Federal legislation has prescribed the increased use of statewide achievement tests as the culmination of a student's knowledge and ability at the end of a grade level; however, schools need to be able to predict those who are at-risk of performing poorly on these high-stakes tests. Three studies served to identify a means of predicting statewide…

Factors Influencing Student Prerequisite Preparation for and Subsequent Performance in College Chemistry Two: A Statistical Investigation

ERIC Educational Resources Information Center

Easter, David C.

2010-01-01

For students entering Chemistry Two following a Chemistry One course, an assessment exam was given and the results were evaluated in combination with other variables to develop a predictive model that forecasts student achievement in the course. Variables considered in the analysis included student major, GPA, classification (student standing:…

Predictors of professional behaviour and academic outcomes in a UK medical school: A longitudinal cohort study.

PubMed

Adam, Jane; Bore, Miles; Childs, Roy; Dunn, Jason; Mckendree, Jean; Munro, Don; Powis, David

2015-01-01

Over the past 70 years, there has been a recurring debate in the literature and in the popular press about how best to select medical students. This implies that we are still not getting it right: either some students are unsuited to medicine or the graduating doctors are considered unsatisfactory, or both. To determine whether particular variables at the point of selection might distinguish those more likely to become satisfactory professional doctors, by following a complete intake cohort of students throughout medical school and analysing all the data used for the students' selection, their performance on a range of other potential selection tests, academic and clinical assessments throughout their studies, and records of professional behaviour covering the entire five years of the course. A longitudinal database captured the following anonymised information for every student (n = 146) admitted in 2007 to the Hull York Medical School (HYMS) in the UK: demographic data (age, sex, citizenship); performance in each component of the selection procedure; performance in some other possible selection instruments (cognitive and non-cognitive psychometric tests); professional behaviour in tutorials and in other clinical settings; academic performance, clinical and communication skills at summative assessments throughout; professional behaviour lapses monitored routinely as part of the fitness-to-practise procedures. Correlations were sought between predictor variables and criterion variables chosen to demonstrate the full range of course outcomes from failure to complete the course to graduation with honours, and to reveal clinical and professional strengths and weaknesses. Student demography was found to be an important predictor of outcomes, with females, younger students and British citizens performing better overall. The selection variable "HYMS academic score", based on prior academic performance, was a significant predictor of components of Year 4 written and Year 5 clinical examinations. Some cognitive subtest scores from the UK Clinical Aptitude Test (UKCAT) and the UKCAT total score were also significant predictors of the same components, and a unique predictor of the Year 5 written examination. A number of the non-cognitive tests were significant independent predictors of Years 4 and 5 clinical performance, and of lapses in professional behaviour. First- and second-year tutor ratings were significant predictors of all outcomes, both desirable and undesirable. Performance in Years 1 and 2 written exams did not predict performance in Year 4 but did generally predict Year 5 written and clinical performance. Measures of a range of relevant selection attributes and personal qualities can predict intermediate and end of course achievements in academic, clinical and professional behaviour domains. In this study HYMS academic score, some UKCAT subtest scores and the total UKCAT score, and some non-cognitive tests completed at the outset of studies, together predicted outcomes most comprehensively. Tutor evaluation of students early in the course also identified the more and less successful students in the three domains of academic, clinical and professional performance. These results may be helpful in informing the future development of selection tools.

Reliability of didactic grades to predict practical skills in an undergraduate dental college in Saudi Arabia.

PubMed

Zawawi, Khalid H; Afify, Ahmed R; Yousef, Mohammed K; Othman, Hisham I; Al-Dharrab, Ayman A

2015-01-01

This longitudinal study was aimed to investigate the association between didactic grades and practical skills for dental students and whether didactic grades can reliability predict the dental students' practical performance. Didactic and practical grades for graduates from the Faculty of Dentistry, King Abdulaziz University, between the years 2009 and 2011 were collected. Four courses were selected: Dental Anatomy, Operative Dentistry, Prosthodontics, and Orthodontics. Pearson product-moment correlation analyses between didactic and practical scores were conducted. There was only a significant correlation between didactic and practical scores for the Dental Anatomy course (P<0.001). There was also a significant correlation between all four subjects in the didactic scores (P<0.001). Only the scores of male students showed a significant correlation in the Operative Dentistry course (P<0.001). There were no correlations between Orthodontic grades. Moreover, a poor degree of reliability was found between didactic and practical scores for all subjects. Based on the findings of this study, the relationship between didactic grades and practical performance is course specific. Didactic grades do not reliably predict the students' practical skills. Measuring practical performances should be independent from didactic grading.

Examination of Substance Use, Risk Factors, and Protective Factors on Student Academic Test Score Performance

PubMed Central

Arthur, Michael W.; Brown, Eric C.; Briney, John S.; Hawkins, J. David; Abbott, Robert D.; Catalano, Richard F.; Becker, Linda; Langer, Michael; Mueller, Martin T.

2016-01-01

BACKGROUND School administrators and teachers face difficult decisions about how best to use school resources in order to meet academic achievement goals. Many are hesitant to adopt prevention curricula that are not focused directly on academic achievement. Yet, some have hypothesized that prevention curricula can remove barriers to learning and, thus, promote achievement. This study examined relationships between school levels of student substance use and risk and protective factors that predict adolescent problem behaviors and achievement test performance in Washington State. METHODS Hierarchical Generalized Linear Models were used to examine predictive associations between school-averaged levels of substance use and risk and protective factors and Washington State students’ likelihood of meeting achievement test standards on the Washington Assessment of Student Learning, statistically controlling for demographic and economic factors known to be associated with achievement. RESULTS Results indicate that levels of substance use and risk/protective factors predicted the academic test score performance of students. Many of these effects remained significant even after controlling for model covariates. CONCLUSIONS The findings suggest that implementing prevention programs that target empirically identified risk and protective factors have the potential to positively affect students’ academic achievement. PMID:26149305

Pascal's Snowshoes

ERIC Educational Resources Information Center

Akcay, Behiye

2004-01-01

The chief purpose of this activity is to strengthen students' understanding of concepts of floatation such as surface area and pressure (weight per unit area) via snowshoes. Students brainstorm, make predictions, perform calculations, and practice communication skills through interviewing elders and experts. This activity lets students see the…

Predicting MCAT Examination Scores.

ERIC Educational Resources Information Center

Dawson-Saunders, Beth; And Others

Acceptable performance on the Medical College Admissions Test (MCAT) is necessary for acceptance into medical school; therefore, students planning a career in medicine and their advisors would benefit by having information useful in predicting performance on this examination. The present study examined the validity of the ACT Assessment as such a…

The influence of critical thinking skills on performance and progression in a pre-registration nursing program.

PubMed

Pitt, Victoria; Powis, David; Levett-Jones, Tracy; Hunter, Sharyn

2015-01-01

The importance of developing critical thinking skills in preregistration nursing students is recognized worldwide. Yet, there has been limited exploration of how students' critical thinking skill scores on entry to pre-registration nursing education influence their academic and clinical performance and progression. The aim of this study was to: i) describe entry and exit critical thinking scores of nursing students enrolled in a three year bachelor of nursing program in Australia in comparison to norm scores; ii) explore entry critical thinking scores in relation to demographic characteristics, students' performance and progression. This longitudinal correlational study used the Health Sciences Reasoning Test (HSRT) to measure critical thinking skills in a sample (n=134) of students, at entry and exit (three years later). A one sample t-test was used to determine if differences existed between matched student critical thinking scores between entry and exit points. Academic performance, clinical performance and progression data were collected and correlations with entry critical thinking scores were examined. There was a significant relationship between critical thinking scores, academic performance and students' risk of failing, especially in the first semester of study. Critical thinking scores were predictive of program completion within three years. The increase in critical thinking scores from entry to exit was significant for the 28 students measured. In comparison to norm scores, entry level critical thinking scores were significantly lower, but exit scores were comparable. Critical thinking scores had no significant relationship to clinical performance. Entry critical thinking scores significantly correlate to academic performance and predict students risk of course failure and ability to complete a nursing degree in three years. Students' critical thinking scores are an important determinant of their success and as such can inform curriculum development and selection strategies. Copyright © 2014 Elsevier Ltd. All rights reserved.

The influence of personal qualities on performance and progression in a pre-registration nursing programme.

PubMed

Pitt, Victoria; Powis, David; Levett-Jones, Tracy; Hunter, Sharyn

2014-05-01

Research conducted primarily with psychology and medical students has highlighted that personal qualities play an important role in students' academic performance. In nursing there has been limited investigation of the relationship between personal qualities and performance. Yet, reports of student incivility and a lack of compassion have prompted appeals to integrate the assessment of personal qualities into pre-registration nursing student selection. Before this can be done research is needed to explore the influence of students' personal qualities on programme performance and progression. This study explores the relationships between students' personal qualities and their academic and clinical performance, behaviours and progression through a pre-registration nursing programme in Australia. This longitudinal descriptive correlational study was undertaken with a sample of Australian pre-registration nursing students (n=138). Students' personal qualities were assessed using three personal qualities assessment (PQA) instruments. Outcome measures included grades in nursing theory and clinical courses, yearly grade point average, final clinical competency, progression (completion), class attendance and levels of life event stress. Significant correlations were found between academic performance and PQA scores for self-control, resilience and traits of aloofness, confidence and involvement. Final clinical competence was predicted by confidence and self-control scores. Students with higher empathy had higher levels of life event stress in their first year and class attendance had a positive correlation with self-control. Completing the programme in three years was weakly predicted by the measure of resilience. No difference was noted between extreme or non-extreme scorers on the PQA scales with respect to performance or progression. This sample of students' personal qualities was found to influence their academic and clinical performance and their ability to complete a pre-registration programme in three years. However, further research is required with larger cohorts to confirm the use of personal qualities assessment during selection. © 2013.

Test-Enhanced Learning in an Immunology and Infectious Disease Medicinal Chemistry/Pharmacology Course

PubMed Central

2015-01-01

Objective. To develop a series of active-learning modules that would improve pharmacy students’ performance on summative assessments. Design. A series of optional online active-learning modules containing questions with multiple formats for topics in a first-year (P1) course was created using a test-enhanced learning approach. A subset of module questions was modified and included on summative assessments. Assessment. Student performance on module questions improved with repeated attempts and was predictive of student performance on summative assessments. Performance on examination questions was higher for students with access to modules than for those without access to modules. Module use appeared to have the most impact on low performing students. Conclusion. Test-enhanced learning modules with immediate feedback provide pharmacy students with a learning tool that improves student performance on summative assessments and also may improve metacognitive and test-taking skills. PMID:27168610

Validity of the Medical College Admission Test for Predicting MD-PhD Student Outcomes

ERIC Educational Resources Information Center

Bills, James L.; VanHouten, Jacob; Grundy, Michelle M.; Chalkley, Roger; Dermody, Terence S.

2016-01-01

The Medical College Admission Test (MCAT) is a quantitative metric used by MD and MD-PhD programs to evaluate applicants for admission. This study assessed the validity of the MCAT in predicting training performance measures and career outcomes for MD-PhD students at a single institution. The study population consisted of 153 graduates of the…

Using Neural Network and Logistic Regression Analysis to Predict Prospective Mathematics Teachers' Academic Success upon Entering Graduate Education

ERIC Educational Resources Information Center

Bahadir, Elif

2016-01-01

The ability to predict the success of students when they enter a graduate program is critical for educational institutions because it allows them to develop strategic programs that will help improve students' performances during their stay at an institution. In this study, we present the results of an experimental comparison study of Logistic…

Using Data Mining to Predict K-12 Students' Performance on Large-Scale Assessment Items Related to Energy

ERIC Educational Resources Information Center

Liu, Xiufeng; Ruiz, Miguel E.

2008-01-01

This article reports a study on using data mining to predict K-12 students' competence levels on test items related to energy. Data sources are the 1995 Third International Mathematics and Science Study (TIMSS), 1999 TIMSS-Repeat, 2003 Trend in International Mathematics and Science Study (TIMSS), and the National Assessment of Educational…

Do Teachers' Perceptions of Children's Math and Reading Related Ability and Effort Predict Children's Self-Concept of Ability in Math and Reading?

ERIC Educational Resources Information Center

Upadyaya, Katja; Eccles, Jacquelynne

2015-01-01

This study investigated to what extent primary school teachers' perceptions of their students' ability and effort predict developmental changes in children's self-concepts of ability in math and reading after controlling for students' academic performance and general intelligence. Three cohorts (N?=?849) of elementary school children and their…

Word Prediction Programs with Phonetic Spelling Support: Performance Comparisons and Impact on Journal Writing for Students with Writing Difficulties

ERIC Educational Resources Information Center

Evmenova, Anna S.; Graff, Heidi J.; Jerome, Marci Kinas; Behrmann, Michael M.

2010-01-01

This investigation examined the effects of currently available word prediction software programs that support phonetic/inventive spelling on the quality of journal writing by six students with severe writing and/or spelling difficulties in grades three through six during a month-long summer writing program. A changing conditions single-subject…

Curricular Activities that Promote Metacognitive Skills Impact Lower-Performing Students in an Introductory Biology Course.

PubMed

Dang, Nathan V; Chiang, Jacob C; Brown, Heather M; McDonald, Kelly K

2018-01-01

This study explores the impacts of repeated curricular activities designed to promote metacognitive skills development and academic achievement on students in an introductory biology course. Prior to this study, the course curriculum was enhanced with pre-assignments containing comprehension monitoring and self-evaluation questions, exam review assignments with reflective questions related to study habits, and an optional opportunity for students to explore metacognition and deep versus surface learning. We used a mixed-methods study design and collected data over two semesters. Self-evaluation, a component of metacognition, was measured via exam score postdictions, in which students estimated their exam scores after completing their exam. Metacognitive awareness was assessed using the Metacognitive Awareness Inventory (MAI) and a reflective essay designed to gauge students' perceptions of their metacognitive skills and study habits. In both semesters, more students over-predicted their Exam 1 scores than under-predicted, and statistical tests revealed significantly lower mean exam scores for the over-predictors. By Exam 3, under-predictors still scored significantly higher on the exam, but they outnumbered the over-predictors. Lower-performing students also displayed a significant increase in exam postdiction accuracy by Exam 3. While there was no significant difference in students' MAI scores from the beginning to the end of the semester, qualitative analysis of reflective essays indicated that students benefitted from the assignments and could articulate clear action plans to improve their learning and performance. Our findings suggest that assignments designed to promote metacognition can have an impact on students over the course of one semester and may provide the greatest benefits to lower-performing students.

Stakes Matter: Student Motivation and the Validity of Student Assessments for Teacher Evaluation

ERIC Educational Resources Information Center

Rutkowski, David; Wild, Justin

2015-01-01

In 2011, Indiana lawmakers established a system to evaluate teachers using existing standardized assessments as an indicator of student learning. In this study we examined one component of Indiana's evaluation system to determine whether student knowledge of the test's consequences is predictive of test performance. Using an experimental design,…

Teachers See What Ability Scores Cannot: Predicting Student Performance with Challenging Mathematics

ERIC Educational Resources Information Center

Foreman, Jennifer L.; Gubbins, E. Jean

2015-01-01

Teacher nominations of students are commonly used in gifted and talented identification systems to supplement psychometric measures of reasoning ability. In this study, second grade teachers were requested to nominate approximately one fourth of their students as having high learning potential in the year prior to the students' participation in a…

Pre-Assessment and Peer Tutoring as Measures to Improve Performance in Gateway General Chemistry Classes

ERIC Educational Resources Information Center

Allenbaugh, R. J.; Herrera, K. M.

2014-01-01

Determining student readiness for gateway chemistry courses and providing underprepared students effective remediation are important as student bodies are growing increasingly diverse in their precollege preparation. The effectiveness of the ACT Mathematics Test and the Whimbey Analytical Skills Inventory (WASI) in predicting student success in…

The Relation of Motivational Beliefs and Self-Regulatory Processes to Homework Completion and Academic Achievement.

ERIC Educational Resources Information Center

Bembenutty, Hefer; Zimmerman, Barry J.

This study examined individual differences in the ways students responded to a self-regulation learning training. It was predicted that students' motivational beliefs would be associated with at-risk college students' use of self-regulated learning strategies, homework completion, and academic performance. Participants were 58 college students in…

A Structural Equation Model for Predicting Business Student Performance

ERIC Educational Resources Information Center

Pomykalski, James J.; Dion, Paul; Brock, James L.

2008-01-01

In this study, the authors developed a structural equation model that accounted for 79% of the variability of a student's final grade point average by using a sample size of 147 students. The model is based on student grades in 4 foundational business courses: introduction to business, macroeconomics, statistics, and using databases. Educators and…

Students' Midprogram Content Area Performance as a Predictor of End-of-Program NCLEX Readiness.

PubMed

Brussow, Jennifer A; Dunham, Michelle

2017-12-22

Many programs have implemented end-of-program predictive testing to identify students at risk of NCLEX-RN failure. Unfortunately, for many students, end-of-program testing comes too late. Regression and relative importance analysis were used to explore relationships between 9 content area assessments and an end-of-program assessment shown to be predictive of NCLEX-RN success. Results indicate that scores on assessments for content areas such as medical surgical nursing and care of children are predictive of end-of-program test scores, suggesting that instructors should provide remediation at the first sign of lagging performance.This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in anyway or used commercially without permission from the journal.

Self-regulated learning and achievement by middle-school children.

PubMed

Sink, C A; Barnett, J E; Hixon, J E

1991-12-01

The relationship of self-regulated learning to the achievement test scores of 62 Grade 6 students was studied. Generally, the metacognitive and affective variables correlated significantly with teachers' grades and standardized test scores in mathematics, reading, and science. Planning and self-assessment significantly predicted the six measures of achievement. Step-wise multiple regression analyses using the metacognitive and affective variables largely indicate that students' and teachers' perceptions of scholastic ability and planning appear to be the most salient factors in predicting academic performance. The locus of control dimension had no utility in predicting classroom grades and performance on standardized measures of achievement. The implications of the findings for teaching and learning are discussed.

Relationships among gender, cognitive style, academic major, and performance on the Piaget water-level task.

PubMed

Hammer, R E; Hoffer, N; King, W L

1995-06-01

Many researchers have found that more college-age adults than would be expected fail Piaget's water-level task, with women failing more frequently than men. It has been hypothesized that differences in cognitive style may account for performance differences on the water-level task. In the present study, 27 male and 27 female architectural students and 27 male and 27 female liberal-arts students were assessed for their performance on both Piaget's Water-level Task and Witkin's Group Embedded Figures Test. No difference was found in performance of male and female architectural students on either task, but male liberal-arts students scored significantly higher than female liberal-arts students on both measures. A disembedding cognitive style predicted success on the water-level task for the architectural students but not for the liberal arts students.

An Analysis of the Relationship between School-Level AP® Professional Development Activity and Subsequent Student AP Performance. Research Report No. 2012-8

ERIC Educational Resources Information Center

Laitusis, Vytas

2012-01-01

The overarching purpose behind this evaluation was to gauge the impact of AP professional development (PD) on AP student outcomes in a state with a significant rate of PD implementation. The evaluation attempted to predict the level of student AP performance by the number of AP professional development events attended by teachers in that school in…

Learning How Students Learn: An Exploration of Self-Regulation Strategies in a Two-Year College General Chemistry Class

ERIC Educational Resources Information Center

Miller, Dionne A.

2015-01-01

This study investigated how students in an urban 2-year college used self-regulation strategies in a General Chemistry I course and whether their use was correlated with both performance and the ability to correctly predict performance on a course exam. The 142 students enrolled in all 10 sections of the course were asked to complete the Motivated…

Predicting Academic Performance at a Predominantly Black Medical School.

ERIC Educational Resources Information Center

Johnson, Davis G.; And Others

1986-01-01

The validity of the Medical College Admission (MCAT), undergraduate grade-point average (GPA), and "competitiveness" of undergraduate college in predicting the performance of students at a predominantly black college of medicine was examined. No differences between men and women were found in the validity of MCAT scores and GPA.…

The influence of peer affiliation and student activities on adolescent drug involvement.

PubMed

Jenkins, J E

1996-01-01

This study examined the importance of students' academic performance level and extracurricular activities as predictors of drug involvement relative to peer influence. Social development theory provided the theoretical rational for the study. Data were obtained from 2,229 randomly selected students in the eighth, tenth, and twelfth grades from seventeen school districts in northeastern Ohio. At all three grade levels, involvement in extracurricular activities and academic level were significantly correlated with students' gateway and hard drug use. Consistent with prior research, the strongest correlate of gateway and hard drug use across all grade levels was affiliation with drug-using friends. Having a job after school was marginally related to self-reported gateway drug use at grade level ten. Multiple regression analysis revealed that extracurricular involvement and academic performance level make small, but unique contributions to the prediction of adolescents' gateway drug use beyond affiliation with drug-using peers at all three grade levels. The findings of this study suggest that students' academic performance and extracurricular involvements are significantly related to adolescent gateway and hard drug use, but have less predictive significance relative to peer relationships.

Exploring the motivation jungle: predicting performance on a novel task by investigating constructs from different motivation perspectives in tandem.

PubMed

Van Nuland, Hanneke J C; Dusseldorp, Elise; Martens, Rob L; Boekaerts, Monique

2010-08-01

Different theoretical viewpoints on motivation make it hard to decide which model has the best potential to provide valid predictions on classroom performance. This study was designed to explore motivation constructs derived from different motivation perspectives that predict performance on a novel task best. Motivation constructs from self-determination theory, self-regulation theory, and achievement goal theory were investigated in tandem. Performance was measured by systematicity (i.e. how systematically students worked on a problem-solving task) and test score (i.e. score on a multiple-choice test). Hierarchical regression analyses on data from 259 secondary school students showed a quadratic relation between a performance avoidance orientation and both performance outcomes, indicating that extreme high and low performance avoidance resulted in the lowest performance. Furthermore, two three-way interaction effects were found. Intrinsic motivation seemed to play a key role in test score and systematicity performance, provided that effort regulation and metacognitive skills were both high. Results indicate that intrinsic motivation in itself is not enough to attain a good performance. Instead, a moderate score on performance avoidance, together with the ability to remain motivated and effectively regulate and control task behavior, is needed to attain a good performance. High time management skills also contributed to higher test score and systematicity performance and a low performance approach orientation contributed to higher systematicity performance. We concluded that self-regulatory skills should be trained in order to have intrinsically motivated students perform well on novel tasks in the classroom.

Applying Learning Analytics for the Early Prediction of Students' Academic Performance in Blended Learning

ERIC Educational Resources Information Center

Lu, Owen H. T.; Huang, Anna Y. Q.; Huang, Jeff C. H.; Lin, Albert J. Q.; Ogata, Hiroaki; Yang, Stephen J. H.

2018-01-01

Blended learning combines online digital resources with traditional classroom activities and enables students to attain higher learning performance through well-defined interactive strategies involving online and traditional learning activities. Learning analytics is a conceptual framework and is a part of our Precision education used to analyze…

General Knowledge Monitoring as a Predictor of In-Class Exam Performance

ERIC Educational Resources Information Center

Hartwig, Marissa K.; Was, Chris A.; Isaacson, Randy M.; Dunlosky, John

2012-01-01

Background: Current theories of self-regulated learning predict a positive link between student monitoring accuracy and performance: students who more accurately monitor their knowledge of a particular set of materials are expected to more effectively regulate their subsequent study of those materials, which in turn should lead to higher test…

Resilience Does Not Predict Academic Performance in Gross Anatomy

ERIC Educational Resources Information Center

Elizondo-Omana, Rodrigo Enrique; Garcia-Rodriguez, Maria de los Angeles; Hinojosa-Amaya, Jose Miguel; Villarreal-Silva, Eliud Enrique; Avilan, Rosa Ivette Guzman; Cruz, Juan Jose Bazaldua; Guzman-Lopez, Santos

2010-01-01

Few studies have evaluated resilience in an academic environment as it relates to academic success or failure. This work sought to assess resilience in regular and remedial students of gross anatomy during the first and second semesters of medical school and to correlate this personal trait with academic performance. Two groups of students were…

State Aid and Student Performance: A Supply-Demand Analysis

ERIC Educational Resources Information Center

Kinnucan, Henry W.; Zheng, Yuqing; Brehmer, Gerald

2006-01-01

Using a supply-demand framework, a six-equation model is specified to generate hypotheses about the relationship between state aid and student performance. Theory predicts that an increase in state or federal aid provides an incentive to decrease local funding, but that the disincentive associated with increased state aid is moderated when federal…

Predictive validity of the UK clinical aptitude test in the final years of medical school: a prospective cohort study.

PubMed

Husbands, Adrian; Mathieson, Alistair; Dowell, Jonathan; Cleland, Jennifer; MacKenzie, Rhoda

2014-04-23

The UK Clinical Aptitude Test (UKCAT) was designed to address issues identified with traditional methods of selection. This study aims to examine the predictive validity of the UKCAT and compare this to traditional selection methods in the senior years of medical school. This was a follow-up study of two cohorts of students from two medical schools who had previously taken part in a study examining the predictive validity of the UKCAT in first year. The sample consisted of 4th and 5th Year students who commenced their studies at the University of Aberdeen or University of Dundee medical schools in 2007. Data collected were: demographics (gender and age group), UKCAT scores; Universities and Colleges Admissions Service (UCAS) form scores; admission interview scores; Year 4 and 5 degree examination scores. Pearson's correlations were used to examine the relationships between admissions variables, examination scores, gender and age group, and to select variables for multiple linear regression analysis to predict examination scores. Ninety-nine and 89 students at Aberdeen medical school from Years 4 and 5 respectively, and 51 Year 4 students in Dundee, were included in the analysis. Neither UCAS form nor interview scores were statistically significant predictors of examination performance. Conversely, the UKCAT yielded statistically significant validity coefficients between .24 and .36 in four of five assessments investigated. Multiple regression analysis showed the UKCAT made a statistically significant unique contribution to variance in examination performance in the senior years. Results suggest the UKCAT appears to predict performance better in the later years of medical school compared to earlier years and provides modest supportive evidence for the UKCAT's role in student selection within these institutions. Further research is needed to assess the predictive validity of the UKCAT against professional and behavioural outcomes as the cohort commences working life.

Predictive validity of the UK clinical aptitude test in the final years of medical school: a prospective cohort study

PubMed Central

2014-01-01

Background The UK Clinical Aptitude Test (UKCAT) was designed to address issues identified with traditional methods of selection. This study aims to examine the predictive validity of the UKCAT and compare this to traditional selection methods in the senior years of medical school. This was a follow-up study of two cohorts of students from two medical schools who had previously taken part in a study examining the predictive validity of the UKCAT in first year. Methods The sample consisted of 4th and 5th Year students who commenced their studies at the University of Aberdeen or University of Dundee medical schools in 2007. Data collected were: demographics (gender and age group), UKCAT scores; Universities and Colleges Admissions Service (UCAS) form scores; admission interview scores; Year 4 and 5 degree examination scores. Pearson’s correlations were used to examine the relationships between admissions variables, examination scores, gender and age group, and to select variables for multiple linear regression analysis to predict examination scores. Results Ninety-nine and 89 students at Aberdeen medical school from Years 4 and 5 respectively, and 51 Year 4 students in Dundee, were included in the analysis. Neither UCAS form nor interview scores were statistically significant predictors of examination performance. Conversely, the UKCAT yielded statistically significant validity coefficients between .24 and .36 in four of five assessments investigated. Multiple regression analysis showed the UKCAT made a statistically significant unique contribution to variance in examination performance in the senior years. Conclusions Results suggest the UKCAT appears to predict performance better in the later years of medical school compared to earlier years and provides modest supportive evidence for the UKCAT’s role in student selection within these institutions. Further research is needed to assess the predictive validity of the UKCAT against professional and behavioural outcomes as the cohort commences working life. PMID:24762134

Parental involvement in homework: relations with parent and student achievement-related motivational beliefs and achievement.

PubMed

Gonida, Eleftheria N; Cortina, Kai S

2014-09-01

Parental involvement in homework is a home-based type of involvement in children's education. Research and theory suggest that it is beneficial for learning and achievement under certain conditions and for particular groups of individuals. The study examined whether different types of parents' involvement in homework (autonomy support, control, interference, cognitive engagement) (1) are predicted by their mastery and performance goals for their child and their beliefs of the child's academic efficacy, and (2) predict student achievement goal orientations, efficacy beliefs, and achievement. Grade-level differences were also investigated. The sample consisted of 282 elementary school (5th grade) and junior high school students (8th grade) and one of their parents. Surveys were used for data collection. Structural equation modelling was applied for data analysis. (1) Autonomy support during homework was predicted by parent mastery goal, parents' control and interference by their performance goal and perceptions of child efficacy, and cognitive engagement as supplementary to homework by parent perceptions of child efficacy. (2) Parental autonomy support, control, and interference were differentially associated with student mastery and performance goal orientations, whereas parent cognitive engagement was associated with student efficacy beliefs. (3) The structural model was the same for elementary and junior high school students but the latent means for a number of variables were different. Different types of parental involvement in homework were associated with different outcomes with parent autonomy support to be the most beneficial one. © 2014 The British Psychological Society.

Predictors of medical school clerkship performance: a multispecialty longitudinal analysis of standardized examination scores and clinical assessments.

PubMed

Casey, Petra M; Palmer, Brian A; Thompson, Geoffrey B; Laack, Torrey A; Thomas, Matthew R; Hartz, Martha F; Jensen, Jani R; Sandefur, Benjamin J; Hammack, Julie E; Swanson, Jerry W; Sheeler, Robert D; Grande, Joseph P

2016-04-27

Evidence suggests that poor performance on standardized tests before and early in medical school is associated with poor performance on standardized tests later in medical school and beyond. This study aimed to explore relationships between standardized examination scores (before and during medical school) with test and clinical performance across all core clinical clerkships. We evaluated characteristics of 435 students at Mayo Medical School (MMS) who matriculated 2000-2009 and for whom undergraduate grade point average, medical college aptitude test (MCAT), medical school standardized tests (United States Medical Licensing Examination [USMLE] 1 and 2; National Board of Medical Examiners [NBME] subject examination), and faculty assessments were available. We assessed the correlation between scores and assessments and determined USMLE 1 cutoffs predictive of poor performance (≤10th percentile) on the NBME examinations. We also compared the mean faculty assessment scores of MMS students vs visiting students, and for the NBME, we determined the percentage of MMS students who scored at or below the tenth percentile of first-time national examinees. MCAT scores correlated robustly with USMLE 1 and 2, and USMLE 1 and 2 independently predicted NBME scores in all clerkships. USMLE 1 cutoffs corresponding to poor NBME performance ranged from 220 to 223. USMLE 1 scores were similar among MMS and visiting students. For most academic years and clerkships, NBME scores were similar for MMS students vs all first-time examinees. MCAT, USMLE 1 and 2, and subsequent clinical performance parameters were correlated with NBME scores across all core clerkships. Even more interestingly, faculty assessments correlated with NBME scores, affirming patient care as examination preparation. USMLE 1 scores identified students at risk of poor performance on NBME subject examinations, facilitating and supporting implementation of remediation before the clinical years. MMS students were representative of medical students across the nation.

A Blurred Signal? The Usefulness of National Senior Certificate (NSC) Mathematics Marks as Predictors of Academic Performance at University Level

ERIC Educational Resources Information Center

Schoer, Volker; Ntuli, Miracle; Rankin, Neil; Sebastiao, Claire; Hunt, Karen

2010-01-01

Internationally, performance in school Mathematics has been found to be a reliable predictor of performance in commerce courses at university level. Based on the predictive power of school-leaving marks, universities use results from school-leaving Mathematics examinations to rank student applicants according to their predicted abilities. However,…

A study of the academic performance of medical students in the comprehensive examination of the basic sciences according to the indices of emotional intelligence and educational status.

PubMed

Moslehi, Mohsen; Samouei, Rahele; Tayebani, Tayebeh; Kolahduz, Sima

2015-01-01

Considering the increasing importance of emotional intelligence (EI) in different aspects of life, such as academic achievement, the present survey is aimed to predict academic performance of medical students in the comprehensive examination of the basic sciences, according to the indices of emotional intelligence and educational status. The present survey is a descriptive, analytical, and cross-sectional study performed on the medical students of Isfahan, Tehran, and Mashhad Universities of Medical Sciences. Sampling the universities was performed randomly after which selecting the students was done, taking into consideration the limitation in their numbers. Based on the inclusion criteria, all the medical students, entrance of 2005, who had attended the comprehensive basic sciences examination in 2008, entered the study. The data collection tools included an Emotional Intelligence Questionnaire (standardized in Isfahan), the average score of the first to fifth semesters, total average of each of the five semesters, and the grade of the comprehensive basic sciences examination. The data were analyzed through stepwise regression coefficient by SPSS software version 15. The results indicated that the indicators of independence from an emotional intelligence test and average scores of the first and third academic semesters were significant in predicting the students' academic performance in the comprehensive basic sciences examination. According to the obtained results, the average scores of students, especially in the earlier semesters, as well as the indicators of independence and the self-esteem rate of students can influence their success in the comprehensive basic sciences examination.

Student Attitudes and Academic Background as Predictors of Achievement in College English.

ERIC Educational Resources Information Center

House, J. Daniel; Prion, Susan K.

1998-01-01

This study investigated the predictive relationship between student attitudes and their subsequent achievement in a freshman composition course. Results indicated that academic background and student attitudes were significantly correlated with subsequent grade performance. Attitude variables were more closely related to overall grade performance…

Leveraging MSLQ Data for Predicting Student Achievement Goal Orientations

ERIC Educational Resources Information Center

Ali, Liaqat; Hatala, Marek; Winne, Phil; Gaševic, Dragan

2014-01-01

This study aims to investigate how the learning strategies and achievement goal orientations of students relate to their academic behaviours and performance in the context of an online learning system. The study also develops and validates a relational model between student learning strategies and achievement goals.

Why Study Time Does Not Predict Grade Point Average across College Students: Implications of Deliberate Practice for Academic Performance

ERIC Educational Resources Information Center

Plant, E. Ashby; Ericsson, K. Anders; Hill, Len; Asberg, Kia

2005-01-01

The current work draws upon the theoretical framework of deliberate practice in order to clarify why the amount of study by college students is a poor predictor of academic performance. A model was proposed where performance in college, both cumulatively and for a current semester, was jointly determined by previous knowledge and skills as well as…

Adding to the Education Debt: Depressive Symptoms Mediate the Association between Racial Discrimination and Academic Performance in African Americans.

PubMed

English, Devin; Lambert, Sharon F; Ialongo, Nicholas S

2016-08-01

Although the United States faces a seemingly intractable divide between white and African American academic performance, there remains a dearth of longitudinal research investigating factors that work to maintain this gap. The present study examined whether racial discrimination predicted the academic performance of African American students through its effect on depressive symptoms. Participants were a community sample of African American adolescents (N=495) attending urban public schools from grade 7 to grade 9 (Mage=12.5). Structural equation modeling revealed that experienced racial discrimination predicted increases in depressive symptoms 1year later, which, in turn, predicted decreases in academic performance the following year. These results suggest that racial discrimination continues to play a critical role in the academic performance of African American students and, as such, contributes to the maintenance of the race-based academic achievement gap in the United States. Copyright © 2016 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.

Singers' phonation threshold pressure and ratings of self-perceived effort on vocal tasks.

PubMed

McHenry, Monica; Evans, Joseph; Powitzky, Eric

2013-05-01

This study was designed to determine if singers' self-ratings of vocal effort could predict phonation threshold pressure (PTP). It was hypothesized that effort ratings on the more complex task of singing "Happy Birthday" would best predict PTP. A multiple regression analysis was performed with PTP as the predicted variable and self-ratings on four phonatory tasks as the predictor variables. Participants were 48 undergraduate and graduate students majoring in vocal performance. They produced /pi/ syllable trains as softly as possible for the measurement of PTP. They then rated their self-perceived vocal effort while softly producing the following: (1) sustained "ah" (comfortable, midrange pitch); (2) "ah" glide (chest to head voice); (3) Staccato "ah" in head voice (not falsetto); and (4) Happy Birthday in head voice (not falsetto). No ratings of vocal effort predicted PTP. The lack of correlation between PTP and ratings of Happy Birthday remained when separately evaluating graduate versus undergraduate students or males versus females. Informal evaluation of repeated ratings over time suggested the potential for effective self-monitoring. Students' ratings of self-perceived vocal effort were poor predictors of PTP. This may be because of the use of "effortless" imagery during singing instruction or consistent positive feedback regarding vocal performance. It is possible that self-rating could become an effective tool to predict vocal health if task elicitation instructions were more precise, and the student and voice teacher worked collaboratively to improve self-evaluation. Copyright © 2013 The Voice Foundation. Published by Mosby, Inc. All rights reserved.

Construct-level predictive validity of educational attainment and intellectual aptitude tests in medical student selection: meta-regression of six UK longitudinal studies.

PubMed

McManus, I C; Dewberry, Chris; Nicholson, Sandra; Dowell, Jonathan S; Woolf, Katherine; Potts, Henry W W

2013-11-14

Measures used for medical student selection should predict future performance during training. A problem for any selection study is that predictor-outcome correlations are known only in those who have been selected, whereas selectors need to know how measures would predict in the entire pool of applicants. That problem of interpretation can be solved by calculating construct-level predictive validity, an estimate of true predictor-outcome correlation across the range of applicant abilities. Construct-level predictive validities were calculated in six cohort studies of medical student selection and training (student entry, 1972 to 2009) for a range of predictors, including A-levels, General Certificates of Secondary Education (GCSEs)/O-levels, and aptitude tests (AH5 and UK Clinical Aptitude Test (UKCAT)). Outcomes included undergraduate basic medical science and finals assessments, as well as postgraduate measures of Membership of the Royal Colleges of Physicians of the United Kingdom (MRCP(UK)) performance and entry in the Specialist Register. Construct-level predictive validity was calculated with the method of Hunter, Schmidt and Le (2006), adapted to correct for right-censorship of examination results due to grade inflation. Meta-regression analyzed 57 separate predictor-outcome correlations (POCs) and construct-level predictive validities (CLPVs). Mean CLPVs are substantially higher (.450) than mean POCs (.171). Mean CLPVs for first-year examinations, were high for A-levels (.809; CI: .501 to .935), and lower for GCSEs/O-levels (.332; CI: .024 to .583) and UKCAT (mean = .245; CI: .207 to .276). A-levels had higher CLPVs for all undergraduate and postgraduate assessments than did GCSEs/O-levels and intellectual aptitude tests. CLPVs of educational attainment measures decline somewhat during training, but continue to predict postgraduate performance. Intellectual aptitude tests have lower CLPVs than A-levels or GCSEs/O-levels. Educational attainment has strong CLPVs for undergraduate and postgraduate performance, accounting for perhaps 65% of true variance in first year performance. Such CLPVs justify the use of educational attainment measure in selection, but also raise a key theoretical question concerning the remaining 35% of variance (and measurement error, range restriction and right-censorship have been taken into account). Just as in astrophysics, 'dark matter' and 'dark energy' are posited to balance various theoretical equations, so medical student selection must also have its 'dark variance', whose nature is not yet properly characterized, but explains a third of the variation in performance during training. Some variance probably relates to factors which are unpredictable at selection, such as illness or other life events, but some is probably also associated with factors such as personality, motivation or study skills.

Construct-level predictive validity of educational attainment and intellectual aptitude tests in medical student selection: meta-regression of six UK longitudinal studies

PubMed Central

2013-01-01

Background Measures used for medical student selection should predict future performance during training. A problem for any selection study is that predictor-outcome correlations are known only in those who have been selected, whereas selectors need to know how measures would predict in the entire pool of applicants. That problem of interpretation can be solved by calculating construct-level predictive validity, an estimate of true predictor-outcome correlation across the range of applicant abilities. Methods Construct-level predictive validities were calculated in six cohort studies of medical student selection and training (student entry, 1972 to 2009) for a range of predictors, including A-levels, General Certificates of Secondary Education (GCSEs)/O-levels, and aptitude tests (AH5 and UK Clinical Aptitude Test (UKCAT)). Outcomes included undergraduate basic medical science and finals assessments, as well as postgraduate measures of Membership of the Royal Colleges of Physicians of the United Kingdom (MRCP(UK)) performance and entry in the Specialist Register. Construct-level predictive validity was calculated with the method of Hunter, Schmidt and Le (2006), adapted to correct for right-censorship of examination results due to grade inflation. Results Meta-regression analyzed 57 separate predictor-outcome correlations (POCs) and construct-level predictive validities (CLPVs). Mean CLPVs are substantially higher (.450) than mean POCs (.171). Mean CLPVs for first-year examinations, were high for A-levels (.809; CI: .501 to .935), and lower for GCSEs/O-levels (.332; CI: .024 to .583) and UKCAT (mean = .245; CI: .207 to .276). A-levels had higher CLPVs for all undergraduate and postgraduate assessments than did GCSEs/O-levels and intellectual aptitude tests. CLPVs of educational attainment measures decline somewhat during training, but continue to predict postgraduate performance. Intellectual aptitude tests have lower CLPVs than A-levels or GCSEs/O-levels. Conclusions Educational attainment has strong CLPVs for undergraduate and postgraduate performance, accounting for perhaps 65% of true variance in first year performance. Such CLPVs justify the use of educational attainment measure in selection, but also raise a key theoretical question concerning the remaining 35% of variance (and measurement error, range restriction and right-censorship have been taken into account). Just as in astrophysics, ‘dark matter’ and ‘dark energy’ are posited to balance various theoretical equations, so medical student selection must also have its ‘dark variance’, whose nature is not yet properly characterized, but explains a third of the variation in performance during training. Some variance probably relates to factors which are unpredictable at selection, such as illness or other life events, but some is probably also associated with factors such as personality, motivation or study skills. PMID:24229353

Associations of medical student empathy with clinical competence.

PubMed

Casas, Rachel S; Xuan, Ziming; Jackson, Angela H; Stanfield, Lorraine E; Harvey, Nanette C; Chen, Daniel C

2017-04-01

Empathy is a crucial skill for medical students that can be difficult to evaluate. We examined if self-reported empathy in medical students was associated with clinical competence. This study combined cross-sectional data from four consecutive years of medical students (N=590) from the Boston University School of Medicine. We used regression analysis to evaluate if self-reported empathy (Jefferson Scale of Physician Empathy (JSPE)) predicted scores in clinical clerkships, United States Medical Licensing Examinations, and OBJECTIVE: Structured Clinical Examinations (OSCEs). We separately analyzed overall and OSCE communication scores based on interpersonal skills reported by standardized patients. We controlled for age, gender, debt, and specialty affinity. JSPE scores of medical students were positively associated with OSCE communication scores, and remained significant when controlling for demographics. We found that JSPE score was also predictive of overall OSCE scores, but this relationship was confounded by gender and age. JSPE scores were associated with performance in the Pediatrics clerkship, but not other clerkships or standardized tests. JSPE scores were positively associated with OSCE communication scores in medical students. This study supports that self-reported empathy may predict OSCE performance, but further research is needed to examine differences by gender and age. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Classification Accuracy of Oral Reading Fluency and Maze in Predicting Performance on Large-Scale Reading Assessments

ERIC Educational Resources Information Center

Decker, Dawn M.; Hixson, Michael D.; Shaw, Amber; Johnson, Gloria

2014-01-01

The purpose of this study was to examine whether using a multiple-measure framework yielded better classification accuracy than oral reading fluency (ORF) or maze alone in predicting pass/fail rates for middle-school students on a large-scale reading assessment. Participants were 178 students in Grades 7 and 8 from a Midwestern school district.…

The relation of depression and anxiety to life-stress and achievement in students.

PubMed

Andrews, Bernice; Wilding, John M

2004-11-01

An apparent increase in seriously disturbed students consulting student health services in the UK has led to concern that increasing financial difficulties and other outside pressures may affect student mental health and academic performance. The current research investigated whether student anxiety and depression increases after college entry, the extent to which adverse life experiences contribute to any increases, and the impact of adversity, anxiety and depression on exam performance. 351 UK-domiciled undergraduates completed questionnaires one month before university entry and mid-course. The Hospital Anxiety and Depression Scale (HADS: Zigmond & Snaith, 1983) was administered at both time points and a modified List of Threatening Experiences (Brugha, Bebbington, Tennant, & Hurry, 1985) was administered mid-course. By mid-course 9% of previously symptom-free students became depressed and 20% became anxious at a clinically significant level. Of those previously anxious or depressed 36% had recovered. After adjusting for pre-entry symptoms, financial difficulties made a significant independent contribution to depression and relationship difficulties independently predicted anxiety. Depression and financial difficulties mid-course predicted a decrease in exam performance from first to second year. This is the first study to confirm empirically that financial and other difficulties can increase British students' levels of anxiety and depression and that financial difficulties and depression can affect academic performance. However, university life may also have a beneficial effect for some students with pre-existing conditions. With widening participation in higher education, the results have important implications for educational and health policies.

Racial/ethnic disparities in US college students' experience: Discrimination as an impediment to academic performance.

PubMed

Stevens, Courtney; Liu, Cindy H; Chen, Justin A

2018-03-22

Using data from 69,722 US undergraduates participating in the spring 2015 National College Health Assessment, we examine racial/ethnic differences in students' experience of discrimination. Logistic regression predicted the experience of discrimination and its reported negative effect on academics. Additional models examined the effect of attending a Minority Serving Institution (MSI). Discrimination was experienced by 5-15% of students, with all racial/ethnic minority groups examined- including Black, Hispanic, Asian, AI/NA/NA, and Multiracial students- more likely to report discrimination relative to White students. Of students who experienced discrimination, 15-25% reported it had negatively impacted their academic performance, with Hispanic and Asian students more likely to report negative impacts relative to White students. Attending an MSI was associated with decreased experiences of discrimination. Students from racial/ethnic minority backgrounds are disproportionately affected by discrimination, with negative impacts for academic performance that are particularly marked for Hispanic and Asian students.

Variation in the Prediction of Cross-Cultural Adjustment by Asian-Indian Students in the United States

ERIC Educational Resources Information Center

Tochkov, Karin; Levine, Lisa; Sanaka, Amritha

2010-01-01

Homesickness is a major stressor for college students in general, and international students in particular, that has an adverse effect on their psychological health and academic performance. The present study examined the incidence and determinants of homesickness in a sample of international students from India attending a US university and…

Predicting Academic Success and Psychological Wellness in a Sample of Canadian Undergraduate Students

ERIC Educational Resources Information Center

Chow, Henry P. H.

2010-01-01

Introduction: University students need to cope with a complex new life role and to achieve academic success. This article explores the academic performance and psychological well-being among university students in a western Canadian city. Method: Using a convenience sample, a total of 501 undergraduate students in Regina, Saskatchewan took part in…

Factors Affecting Student Progression and Achievement: Prediction and Intervention. A Two-Year Study

ERIC Educational Resources Information Center

Lowis, Mike; Castley, Andrew

2008-01-01

First-year student dropout in the university sector can reach 20% or higher. Over a two-year period, a simple instrument was developed to identify potential student low performance and withdrawal. It was based on a measure of students' early expectation of higher education, matched subsequently with their actual experience. The instrument design…

Predicting SAT Performance from Advanced Course Content and Timing of Matriculation

ERIC Educational Resources Information Center

Patterson, Jonathan Sparks

2012-01-01

As record numbers of students are applying to selective colleges and universities, students are attempting to set themselves apart from their peers by taking rigorous advanced courses in high school. The race for improving a student's academic record has resulted in more and more students taking these courses earlier and earlier in their high…

Using Dirichlet Priors to Improve Model Parameter Plausibility

ERIC Educational Resources Information Center

Rai, Dovan; Gong, Yue; Beck, Joseph E.

2009-01-01

Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better understand student learning there are two problems. First, a model's ability to predict student performance is at best weakly related to the accuracy of any one of its…

Review of Research on Classroom Communication Patterns, Leading to Improved Student Performance.

ERIC Educational Resources Information Center

Hall, Vernon C.

This is a review of studies designed to assess the attributes of teacher-student interaction predicted to be correlated with student achievement. The paper includes: (1) a summary review of the types of teacher characteristics found to be correlated with student achievement and attitude; (2) a summary of the research done using the Flanders…

Watch what happens: using a web-based multimedia platform to enhance intraoperative learning and development of clinical reasoning.

PubMed

Fingeret, Abbey L; Martinez, Rebecca H; Hsieh, Christine; Downey, Peter; Nowygrod, Roman

2016-02-01

We aim to determine whether observed operations or internet-based video review predict improved performance in the surgery clerkship. A retrospective review of students' usage of surgical videos, observed operations, evaluations, and examination scores were used to construct an exploratory principal component analysis. Multivariate regression was used to determine factors predictive of clerkship performance. Case log data for 231 students revealed a median of 25 observed cases. Students accessed the web-based video platform a median of 15 times. Principal component analysis yielded 4 factors contributing 74% of the variability with a Kaiser-Meyer-Olkin coefficient of .83. Multivariate regression predicted shelf score (P < .0001), internal clinical skills examination score (P < .0001), subjective evaluations (P < .001), and video website utilization (P < .001) but not observed cases to be significantly associated with overall performance. Utilization of a web-based operative video platform during a surgical clerkship is an independently associated with improved clinical reasoning, fund of knowledge, and overall evaluation. Thus, this modality can serve as a useful adjunct to live observation. Copyright © 2016 Elsevier Inc. All rights reserved.

Predicting change in epistemological beliefs, reflective thinking and learning styles: a longitudinal study.

PubMed

Phan, Huy P

2008-03-01

Although extensive research has examined epistemological beliefs, reflective thinking and learning approaches, very few studies have looked at these three theoretical frameworks in their totality. This research tested two separate structural models of epistemological beliefs, learning approaches, reflective thinking and academic performance among tertiary students over a period of 12 months. Participants were first-year Arts (N=616; 271 females, 345 males) and second-year Mathematics (N=581; 241 females, 341 males) university students. Students' epistemological beliefs were measured with the Schommer epistemological questionnaire (EQ, Schommer, 1990). Reflective thinking was measured with the reflective thinking questionnaire (RTQ, Kember et al., 2000). Student learning approaches were measured with the revised study process questionnaire (R-SPQ-2F, Biggs, Kember, & Leung, 2001). LISREL 8 was used to test two structural equation models - the cross-lag model and the causal-mediating model. In the cross-lag model involving Arts students, structural equation modelling showed that epistemological beliefs influenced student learning approaches rather than the contrary. In the causal-mediating model involving Mathematics students, the results indicate that both epistemological beliefs and learning approaches predicted reflective thinking and academic performance. Furthermore, learning approaches mediated the effect of epistemological beliefs on reflective thinking and academic performance. Results of this study are significant as they integrated the three theoretical frameworks within the one study.

The role of individualism and the Five-Factor Model in the prediction of performance in a leaderless group discussion.

PubMed

Waldman, David A; Atwater, Leanne E; Davidson, Ronald A

2004-02-01

Personality has seen a resurgence in the work performance literature. The Five-Factor Model (FFM) represents a set of personality factors that has received the most attention in recent years. Despite its popularity, the FFM may not be sufficiently comprehensive to account for relevant variation across performance dimensions or tasks. Accordingly, the present study also considers how individualism may predict additional variance in performance beyond the FFM. The study involved 152 undergraduate students who experienced a leaderless group discussion (LGD) exercise. Results showed that while the FFM accounted for variance in students' LGD performance, individualism (independence) accounted for additional, unique variance. Furthermore, analyses of the group compositions revealed curvilinear relationships between the relative amount of extraversion, conscientiousness, and individualism in relation to group-level performance.

Student assessment by objective structured examination in a neurology clerkship

PubMed Central

Adesoye, Taiwo; Smith, Sandy; Blood, Angela; Brorson, James R.

2012-01-01

Objectives: We evaluated the reliability and predictive ability of an objective structured clinical examination (OSCE) in the assessment of medical students at the completion of a neurology clerkship. Methods: We analyzed data from 195 third-year medical students who took the OSCE. For each student, the OSCE consisted of 2 standardized patient encounters. The scores obtained from each encounter were compared. Faculty clinical evaluations of each student for 2 clinical inpatient rotations were also compared. Hierarchical regression analysis was applied to test the ability of the averaged OSCE scores to predict standardized written examination scores and composite clinical scores. Results: Students' OSCE scores from the 2 standardized patient encounters were significantly correlated with each other (r = 0.347, p < 0.001), and the scores for all students were normally distributed. In contrast, students' faculty clinical evaluation scores from 2 different clinical inpatient rotations were uncorrelated, and scores were skewed toward the highest ratings. After accounting for clerkship order, better OSCE scores were predictive of better National Board of Medical Examiners standardized examination scores (R2Δ = 0.131, p < 0.001) and of better faculty clinical scores (R2Δ = 0.078, p < 0.001). Conclusions: Student assessment by an OSCE provides a reliable and predictive objective assessment of clinical performance in a neurology clerkship. PMID:22855865

Students' Personality Traits and Academic Performance: A Five-Factor Model Perspective

ERIC Educational Resources Information Center

Chowdhury, Mohammed

2006-01-01

This study has investigated the impact of personality traits on students' academic achievement in an undergraduate marketing course taught by the same professor. All personality traits except extraversion positively and significantly predicted students' overall grade. Extraversion was positively related (r =0.140) but not statistically…

Assessing Readiness for Online Education--Research Models for Identifying Students at Risk

ERIC Educational Resources Information Center

Wladis, Claire; Conway, Katherine M.; Hachey, Alyse C.

2016-01-01

This study explored the interaction between student characteristics and the online environment in predicting course performance and subsequent college persistence among students in a large urban U.S. university system. Multilevel modeling, propensity score matching, and the KHB decomposition method were used. The most consistent pattern observed…

Student Test Performances on Behavior of Gas Particles and Mismatch of Teacher Predictions

ERIC Educational Resources Information Center

Liang, Jia-Chi; Chou, Chin-Cheng; Chiu, Mei-Hung

2011-01-01

The nature and behavior of gas particles are essential concepts in teaching and learning of school chemistry. However, findings about students' understanding of gas particles--their composition, structure, and interactions involving movement and distribution--revealed that the difficulties students encounter in understanding gas particles vary…

University Student's Goal Profiles and Metacomprehension Accuracy

ERIC Educational Resources Information Center

Zhou, Mingming

2013-01-01

In this study, undergraduate students provided confidence ratings to predict future performance in answering questions drawn from the text before reading the text, after reading the text and after rereading the text. Self-reports of achievement goal orientations during reading and posttest scores were also collected. Student's calibration index…

The Effects of Advanced Placement and International Baccalaureate Programs on Student Achievement

ERIC Educational Resources Information Center

Luo, Samia Merza

2013-01-01

This study compared student academic achievement in two college readiness programs, Advanced Placement (AP) and International Baccalaureate (IB) and attempted to determine how well program participation predict student performance compared to variables such as SES, parent education level, GPA, gender, and SAT II scores. Finally, the research…

Courage in the Classroom: Exploring a New Framework Predicting Academic Performance and Engagement

ERIC Educational Resources Information Center

Martin, Andrew J.

2011-01-01

In the context of 7,637 high school students, the present study explored an hypothesized formulation of academic courage (defined as perseverance in the face of academic difficulty and fear) and its role in predicting academic performance (literacy and arithmetic) and various academic engagement measures (planning, task management,…

Computer-Assisted Decision Support for Student Admissions Based on Their Predicted Academic Performance.

PubMed

Muratov, Eugene; Lewis, Margaret; Fourches, Denis; Tropsha, Alexander; Cox, Wendy C

2017-04-01

Objective. To develop predictive computational models forecasting the academic performance of students in the didactic-rich portion of a doctor of pharmacy (PharmD) curriculum as admission-assisting tools. Methods. All PharmD candidates over three admission cycles were divided into two groups: those who completed the PharmD program with a GPA ≥ 3; and the remaining candidates. Random Forest machine learning technique was used to develop a binary classification model based on 11 pre-admission parameters. Results. Robust and externally predictive models were developed that had particularly high overall accuracy of 77% for candidates with high or low academic performance. These multivariate models were highly accurate in predicting these groups to those obtained using undergraduate GPA and composite PCAT scores only. Conclusion. The models developed in this study can be used to improve the admission process as preliminary filters and thus quickly identify candidates who are likely to be successful in the PharmD curriculum.

Does teacher evaluation based on student performance predict motivation, well-being, and ill-being?

PubMed

Cuevas, Ricardo; Ntoumanis, Nikos; Fernandez-Bustos, Juan G; Bartholomew, Kimberley

2018-06-01

This study tests an explanatory model based on self-determination theory, which posits that pressure experienced by teachers when they are evaluated based on their students' academic performance will differentially predict teacher adaptive and maladaptive motivation, well-being, and ill-being. A total of 360 Spanish physical education teachers completed a multi-scale inventory. We found support for a structural equation model that showed that perceived pressure predicted teacher autonomous motivation negatively, predicted amotivation positively, and was unrelated to controlled motivation. In addition, autonomous motivation predicted vitality positively and exhaustion negatively, whereas controlled motivation and amotivation predicted vitality negatively and exhaustion positively. Amotivation significantly mediated the relation between pressure and vitality and between pressure and exhaustion. The results underline the potential negative impact of pressure felt by teachers due to this type of evaluation on teacher motivation and psychological health. Copyright © 2018 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.

Prepharmacy predictors of success in pharmacy school: grade point averages, pharmacy college admissions test, communication abilities, and critical thinking skills.

PubMed

Allen, D D; Bond, C A

2001-07-01

Good admissions decisions are essential for identifying successful students and good practitioners. Various parameters have been shown to have predictive power for academic success. Previous academic performance, the Pharmacy College Admissions Test (PCAT), and specific prepharmacy courses have been suggested as academic performance indicators. However, critical thinking abilities have not been evaluated. We evaluated the connection between academic success and each of the following predictive parameters: the California Critical Thinking Skills Test (CCTST) score, PCAT score, interview score, overall academic performance prior to admission at a pharmacy school, and performance in specific prepharmacy courses. We confirmed previous reports but demonstrated intriguing results in predicting practice-based skills. Critical thinking skills predict practice-based course success. Also, the CCTST and PCAT scores (Pearson correlation [pc] = 0.448, p < 0.001) were closely related in our students. The strongest predictors of practice-related courses and clerkship success were PCAT (pc=0.237, p<0.001) and CCTST (pc = 0.201, p < 0.001). These findings and other analyses suggest that PCAT may predict critical thinking skills in pharmacy practice courses and clerkships. Further study is needed to confirm this finding and determine which PCAT components predict critical thinking abilities.

In-group and role identity influences on the initiation and maintenance of students' voluntary attendance at peer study sessions for statistics.

PubMed

White, Katherine M; O'Connor, Erin L; Hamilton, Kyra

2011-06-01

Although class attendance is linked to academic performance, questions remain about what determines students' decisions to attend or miss class. In addition to the constructs of a common decision-making model, the theory of planned behaviour, the present study examined the influence of student role identity and university student (in-group) identification for predicting both the initiation and maintenance of students' attendance at voluntary peer-assisted study sessions in a statistics subject. University students enrolled in a statistics subject were invited to complete a questionnaire at two time points across the academic semester. A total of 79 university students completed questionnaires at the first data collection point, with 46 students completing the questionnaire at the second data collection point. Twice during the semester, students' attitudes, subjective norm, perceived behavioural control, student role identity, in-group identification, and intention to attend study sessions were assessed via on-line questionnaires. Objective measures of class attendance records for each half-semester (or 'term') were obtained. Across both terms, students' attitudes predicted their attendance intentions, with intentions predicting class attendance. Earlier in the semester, in addition to perceived behavioural control, both student role identity and in-group identification predicted students' attendance intentions, with only role identity influencing intentions later in the semester. These findings highlight the possible chronology that different identity influences have in determining students' initial and maintained attendance at voluntary sessions designed to facilitate their learning. ©2010 The British Psychological Society.

A pre-admission program for underrepresented minority and disadvantaged students: application, acceptance, graduation rates and timeliness of graduating from medical school.

PubMed

Strayhorn, G

2000-04-01

To determine whether students' performances in a pre-admission program predicted whether participants would (1) apply to medical school, (2) get accepted, and (3) graduate. Using prospectively collected data from participants in the University of North Carolina at Chapel Hill's Medical Education Development Program (MEDP) and data from the Association of American Colleges Student and Applicant Information Management System, the author identified 371 underrepresented minority (URM) students who were full-time participants and completed the program between 1984 and 1989, prior to their acceptance into medical school. Logistic regression analysis was used to determine whether MEDP performance significantly predicted (after statistically controlling for traditional predictors of these outcomes) the proportions of URM participants who applied to medical school and were accepted, the timeliness of graduating, and the proportion graduating. Odds ratios with 95% confidence intervals were calculated to determine the associations between the independent and outcome variables. In separate logistic regression models, MEDP performance predicted the study's outcomes after statistically controlling for traditional predictors with 95% confidence intervals. Pre-admission programs with similar outcomes can improve the diversity of the physician workforce and the access to health care for underrepresented minority and economically disadvantaged populations.

A study of depression and anxiety, general health, and academic performance in three cohorts of veterinary medical students across the first three semesters of veterinary school.

PubMed

Reisbig, Allison M J; Danielson, Jared A; Wu, Tsui-Feng; Hafen, McArthur; Krienert, Ashley; Girard, Destiny; Garlock, Jessica

2012-01-01

This study builds on previous research on predictors of depression and anxiety in veterinary medical students and reports data on three veterinary cohorts from two universities through their first three semesters of study. Across all three semesters, 49%, 65%, and 69% of the participants reported depression levels at or above the clinical cut-off, suggesting a remarkably high percentage of students experiencing significant levels of depression symptoms. Further, this study investigated the relationship between common stressors experienced by veterinary students and mental health, general health, and academic performance. A factor analysis revealed four factors among stressors common to veterinary students: academic stress, transitional stress, family-health stress, and relationship stress. The results indicated that both academic stress and transitional stress had a robust impact on veterinary medical students' well-being during their first three semesters of study. As well, academic stress negatively impacted students in the areas of depression and anxiety symptoms, life satisfaction, general health, perception of academic performance, and grade point average (GPA). Transitional stress predicted increased depression and anxiety symptoms and decreased life satisfaction. This study helped to further illuminate the magnitude of the problem of depression and anxiety symptoms in veterinary medical students and identified factors most predictive of poor outcomes in the areas of mental health, general health, and academic performance. The discussion provides recommendations for considering structural changes to veterinary educational curricula to reduce the magnitude of academic stressors. Concurrently, recommendations are suggested for mental health interventions to help increase students' resistance to environmental stressors.

Assessing BSW Student Direct Practice Skill Using Standardized Clients and Self-Efficacy Theory

ERIC Educational Resources Information Center

Rawlings, Mary A.

2012-01-01

Entering and exiting BSW students were compared on self-efficacy and on direct practice skill performance with a standardized client. Self-efficacy was tested as a predictor and as a mediator of skill performance. Ordinary least squares hierarchical regression found BSW education to be predictive of higher skill and higher self-efficacy. After…

University Students' Academic Performance: An Integrative Conceptual Framework and Empirical Analysis

ERIC Educational Resources Information Center

Fenollar, Pedro; Roman, Sergio; Cuestas, Pedro J.

2007-01-01

Background: The prediction and explanation of academic performance and the investigation of the factors relating to the academic success and persistence of students are topics of utmost importance in higher education. Aims: The main aim of the present study is to develop and test a conceptual framework in a university context, where the effects of…

The Role of First-Semester GPA in Predicting Graduation Rates of Underrepresented Students

ERIC Educational Resources Information Center

Gershenfeld, Susan; Hood, Denice Ward; Zhan, Min

2016-01-01

Academic performance is a primary predictor of college graduation, yet few studies have examined one of the earliest indicators of academic performance--first-semester grade point average (GPA). Given the considerable public and private investment in ensuring access for underrepresented students, a focus on the role of first-semester GPA for these…

Curriculum-Based Measurement in Science Learning: Vocabulary-Matching as an Indicator of Performance and Progress

ERIC Educational Resources Information Center

Espin, Christine A.; Busch, Todd W.; Lembke, Erica S.; Hampton, David D.; Seo, Kyounghee; Zukowski, Beth A.

2013-01-01

The technical adequacy of curriculum-based measures in the form of short and simple vocabulary-matching probes to predict students' performance and progress in science at the secondary level was investigated. Participants were 198 seventh-grade students from 10 science classrooms. Curriculum-based measurements (CBM) were 5-min vocabulary-matching…

Predicting College Agriculture Students' Academic Performance and Retention: A Trend Study.

ERIC Educational Resources Information Center

Garton, Bryan L.; Dyer, James E.; King, Brad O.; Ball, Anna L.

Universities across the nation have established criteria in the selection of students for admission. This correlational study was conducted to determine predictors of academic performance and retention of freshmen in a college of agriculture. Freshmen enrolled in a college-wide learning and development course in the fall of 1997 (n=245) and 1998…

The Effect of Locus of Control, Self-Efficacy, and Gender-Role Identity on Academic Performance Outcomes of Female College Students

ERIC Educational Resources Information Center

Sierra, Jade Simone

2013-01-01

This quantitative study investigated the predictive worthiness of the predictor variable indices--locus of control, self-efficacy, and gender identity--to ascertain if elevated levels of the predictors influence academic performance outcomes (individually as well as interactionally). The study theorized that students with increased levels of locus…

Predicting Performance in Practical Writing: Factors That Influence Success in the Introductory Business Communication Course.

ERIC Educational Resources Information Center

Siegel, Gerald

A study attempted to develop and test a questionnaire that could combine various sorts of demographic information to identify strong or weak students and forecast their course performance. The study determined if a significant relationship existed between students' personal and academic profiles and their final course grades in an introductory…

Boredom in Achievement Settings: Exploring Control-Value Antecedents and Performance Outcomes of a Neglected Emotion

ERIC Educational Resources Information Center

Pekrun, Reinhard; Goetz, Thomas; Daniels, Lia M.; Stupnisky, Robert H.; Perry, Raymond P.

2010-01-01

The linkages of achievement-related boredom with students' appraisals and performance outcomes were examined in a series of 5 exploratory, cross-sectional, and predictive investigations. Studies 1 and 2 assessed students' boredom in a single achievement episode (i.e., state achievement boredom); Studies 3, 4, and 5 focused on their habitual…

Predicting Student Satisfaction and Outcomes in Online Courses Using Learning Activity Indicators

ERIC Educational Resources Information Center

Strang, Kenneth David

2017-01-01

The premise for this study was that learner interaction in an online web-based course could be assessed in relation to academic performance, or in other words, e-learning. Although some studies reveal that learner interaction with online content is related to student academic performance, it remains unproven whether this is casual, or even if…

Schooling Effects on Degree Performance: A Comparison of the Predictive Validity of Aptitude Testing and Secondary School Grades at Oxford University

ERIC Educational Resources Information Center

Ogg, Tom; Zimdars, Anna; Heath, Anthony

2009-01-01

This article examines the cause of school type effects upon gaining a first class degree at Oxford University, whereby for a given level of secondary school performance, private school students perform less well at degree level. We compare the predictive power of an aptitude test and secondary school grades (GCSEs) for final examination…

Examining Middle School Science Student Self-Regulated Learning in a Hypermedia Learning Environment through Microanalysis

NASA Astrophysics Data System (ADS)

Mandell, Brian E.

The purpose of the present embedded mixed method study was to examine the self-regulatory processes used by high, average, and low achieving seventh grade students as they learned about a complex science topic from a hypermedia learning environment. Thirty participants were sampled. Participants were administered a number of measures to assess their achievement and self-efficacy. In addition, a microanalytic methodology, grounded in Zimmerman's cyclical model of self-regulated learning, was used to assess student self-regulated learning. It was hypothesized that there would be modest positive correlations between Zimmerman's three phases of self-regulated learning, that high achieving science students would deploy more self-regulatory subprocesses than average and low achieving science students, that high achieving science students would have higher self-efficacy beliefs to engage in self-regulated learning than average and low achieving science students, and that low achieving science students would over-estimate their self-efficacy for performance beliefs, average achieving science students would slightly overestimate their self-efficacy for performance beliefs, and high achieving science students would under-estimate their self-efficacy for performance beliefs. All hypotheses were supported except for the high achieving science students who under-estimated their self-efficacy for performance beliefs on the Declarative Knowledge Measure and slightly overestimated their self-efficacy for performance beliefs on the Conceptual Knowledge Measure. Finally, all measures of self-regulated learning were combined and entered into a regression formula to predict the students' scores on the two science tests, and it was revealed that the combined measure predicted 91% of the variance on the Declarative Knowledge Measure and 92% of the variance on the Conceptual Knowledge Measure. This study adds hypermedia learning environments to the contexts that the microanalytic methodology has been successfully administered. Educational implications and limitations to the study are also discussed.

Achievement Goal Orientation and Situational Motivation for a Low-Stakes Test of Content Knowledge

PubMed Central

2012-01-01

Objective. To determine the extent of the relationship between students’ inherent motivation to achieve in a doctor of pharmacy program and their motivation to achieve on a single low-stakes test of content knowledge. Method. The Attitude Toward Learning Questionnaire (ATL) was administered to 66 third-year pharmacy students at the beginning of the spring 2011 semester, and the Student Opinion Scale (SOS) was administered to the same group immediately following completion of the Pharmacy Curricular Outcomes Assessment (PCOA). Results. Significant differences were found in performance approach and work avoidance based on situational motivation scores. Situational motivation was also found to be directly correlated with performance and mastery approaches and inversely correlated with work avoidance. Criteria were met for predicting importance and effort from performance and mastery approaches and work avoidance scores of pharmacy students. Conclusions. The ability to predict pharmacy students’ motivation to perform on a low-stakes standardized test of content knowledge increases the test’s usefulness as a measure of curricular effectiveness. PMID:22611274

Scientific Inquiry Self-Efficacy and Computer Game Self-Efficacy as Predictors and Outcomes of Middle School Boys' and Girls' Performance in a Science Assessment in a Virtual Environment

NASA Astrophysics Data System (ADS)

Bergey, Bradley W.; Ketelhut, Diane Jass; Liang, Senfeng; Natarajan, Uma; Karakus, Melissa

2015-10-01

The primary aim of the study was to examine whether performance on a science assessment in an immersive virtual environment was associated with changes in scientific inquiry self-efficacy. A secondary aim of the study was to examine whether performance on the science assessment was equitable for students with different levels of computer game self-efficacy, including whether gender differences were observed. We examined 407 middle school students' scientific inquiry self-efficacy and computer game self-efficacy before and after completing a computer game-like assessment about a science mystery. Results from path analyses indicated that prior scientific inquiry self-efficacy predicted achievement on end-of-module questions, which in turn predicted change in scientific inquiry self-efficacy. By contrast, computer game self-efficacy was neither predictive of nor predicted by performance on the science assessment. While boys had higher computer game self-efficacy compared to girls, multi-group analyses suggested only minor gender differences in how efficacy beliefs related to performance. Implications for assessments with virtual environments and future design and research are discussed.

Does High School Performance Predict College Math Placement?

ERIC Educational Resources Information Center

Kowski, Lynne E.

2013-01-01

Predicting student success has long been a question of interest for postsecondary admission counselors throughout the United States. Past research has examined the validity of several methods designed for predicting undergraduate success. High school record, standardized test scores, extracurricular activities, and combinations of all three have…

An Examination of Faculty and Student Online Activity: Predictive Relationships of Student Academic Success in a Learning Management System (LMS)

ERIC Educational Resources Information Center

Stamm, Randy Lee

2013-01-01

The purpose of this mixed method research study was to examine relationships in student and instructor activity logs and student performance benchmarks specific to enabling early intervention by the instructor in a Learning Management System (LMS). Instructor feedback was collected through a survey instrument to demonstrate perceived importance of…

Patterns of Participation in Year 9 Academic Testing and Factors Predicting Absence on the Day of Test

ERIC Educational Resources Information Center

Wong, Janice W. Y.; O'Donnell, Melissa; Bayliss, Donna; Fletcher, Janet; Glauert, Rebecca

2017-01-01

Policies aiming to improve educational outcomes are typically based on academic testing data. However, such data only reflect the performance of students who completed the tests. It is possible that students who were absent have shared characteristics. The proportion of students absent out of all eligible school students and whether they have…

Mental health predicts better academic outcomes: A longitudinal study of elementary school students in Chile

PubMed Central

Murphy, J. Michael; Guzmán, Javier; McCarthy, Alyssa; Squicciarini, Ana María; George, Myriam; Canenguez, Katia; Dunn, Erin C.; Baer, Lee; Simonsohn, Ariela; Smoller, Jordan W.; Jellinek, Michael

2015-01-01

The world’s largest school-based mental health program, Habilidades para la Vida [Skills for Life, SFL], has been operating at a national scale in Chile for fifteen years. SFL’s activities include using standardized measures to screen elementary school students and providing preventive workshops to students at risk for mental health problems. This paper used SFL’s data on 37,397 students who were in first grade in 2009 and third grade in 2011 to ascertain whether first grade mental health predicted subsequent academic achievement and whether remission of mental health problems predicted improved academic outcomes. Results showed that mental health was a significant predictor of future academic performance and that, overall, students whose mental health improved between first and third grade made better academic progress than students whose mental health did not improve or worsened. Our findings suggest that school-based mental health programs like SFL may help improve students’ academic outcomes. PMID:24771270

Predictors of academic performance in the discipline-specific bioscience paper: a retrospective qualitative study.

PubMed

Khareedi, R

2018-05-01

The cohort of students enrolled in the discipline-specific bioscience paper reflects a structural diversity in that it includes students of multiple ethnicities, varied age groups, differing scholastic and life experiences. These divergent identities of students are known to influence academic performance. The purpose of this retrospective quantitative study was to determine the ability of a set of variables such as age, gender, ethnicity, level of prior education, the place from which prior education was obtained, work experience and prior academic achievement to predict academic performance in the discipline-specific bioscience paper. The sample for this study was a purposive sample of all oral health students who had enrolled in the paper at the Auckland University of Technology from 2011 to 2014. The desensitised empirical data of 116 students from the University's database were subject to multivariable regression analysis. Pearson's correlation coefficients were calculated. Prior academic achievement was a statistically significant predictor variable (P < 0.001) for the academic performance in the discipline-specific bioscience paper and was also positively correlated (r = 0.641, P < 0.001) to the grades in the discipline-specific bioscience paper. Prior academic achievement was the only variable that was demonstrated to be correlated to and predictive of the academic performance in the discipline-specific bioscience paper. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Discovering the Motivations of Students When Using an Online Learning Tool

ERIC Educational Resources Information Center

Saadé, Raafat George; Al Sharhan, Jamal

2015-01-01

In an educational setting, the use of online learning tools impacts student performance. Motivation and beliefs play an important role in predicting student decisions to use these learning tools. However, IT-personality entailing playfulness on the web, perceived personal innovativeness, and enjoyment may have an impact on motivations. In this…

The Key to Successful Achievement as an Undergraduate Student: Confidence and Realistic Expectations?

ERIC Educational Resources Information Center

Nicholson, Laura; Putwain, David; Connors, Liz; Hornby-Atkinson, Pat

2013-01-01

This study examined how expectations of independent study and academic behavioural confidence predicted end-of-semester marks in a sample of undergraduate students. Students' expectations and academic behavioural confidence were measured near the beginning of the semester, and academic performance was taken from aggregated end-of-semester marks.…

Optimizing Partial Credit Algorithms to Predict Student Performance

ERIC Educational Resources Information Center

Ostrow, Korinn; Donnelly, Chistopher; Heffernan, Neil

2015-01-01

As adaptive tutoring systems grow increasingly popular for the completion of classwork and homework, it is crucial to assess the manner in which students are scored within these platforms. The majority of systems, including ASSISTments, return the binary correctness of a student's first attempt at solving each problem. Yet for many teachers,…

Motivation for Reading and Upper Primary School Students' Academic Achievement in Reading in Kenya

ERIC Educational Resources Information Center

Mucherah, Winnie; Herendeen, Abbey

2013-01-01

This study examined primary school students' reading motivation and performance on the standardized exam. Participants included 901 seventh and eighth grade students from Kenya. There were 468 females and 433 males. Contrary to previous studies, results showed reading challenge and aesthetics, but not efficacy, predicted reading achievement,…

Sex Differences in Secondary School Success: Why Female Students Perform Better

ERIC Educational Resources Information Center

Fischer, Franziska; Schult, Johannes; Hell, Benedikt

2013-01-01

School success is closely linked to intelligence but also to non-cognitive factors such as achievement motivation. The present study examines which non-cognitive factors predict secondary school grades and looks at reasons why female students tend to outperform their male counterparts. A sample of 554 German freshman students provided measures of…

Student Physical Education Teachers' Well-Being: Contribution of Basic Psychological Needs

ERIC Educational Resources Information Center

Ciyin, Gülten; Erturan-Ilker, Gökçe

2014-01-01

This study adopted Self-Determination Theory tenets and aimed to explore whether student physical education (PE) teachers' satisfaction of the three basic psychological needs independently predicts well-being. 267 Turkish student PE teachers were recruited for the study. Two stepwise multiple regression analysis was performed in which each outcome…

Class Social Situation and Cultural Value Prediction Factors of the Academic Entitlement of College Students

ERIC Educational Resources Information Center

Hong, Fu-Yuan; Huang, Der-Hsiang; Lin, Min-Pei; Lin, Hung-Yu

2017-01-01

This study measured the level of academic entitlement in college students using a performance promotion goal questionnaire, an academic entitlement group norm questionnaire, a cultural value orientation questionnaire, and an academic entitlement questionnaire, with 297 college students. The research findings of this study could be used to identify…

Differential Effects of Two Types of Formative Assessment in Predicting Performance of First-Year Medical Students

ERIC Educational Resources Information Center

Krasne, Sally; Wimmers, Paul F.; Relan, Anju; Drake, Thomas A.

2006-01-01

Formative assessments are systematically designed instructional interventions to assess and provide feedback on students' strengths and weaknesses in the course of teaching and learning. Despite their known benefits to student attitudes and learning, medical school curricula have been slow to integrate such assessments into the curriculum. This…

Multiple Logistic Regression Analysis of Cigarette Use among High School Students

ERIC Educational Resources Information Center

Adwere-Boamah, Joseph

2011-01-01

A binary logistic regression analysis was performed to predict high school students' cigarette smoking behavior from selected predictors from 2009 CDC Youth Risk Behavior Surveillance Survey. The specific target student behavior of interest was frequent cigarette use. Five predictor variables included in the model were: a) race, b) frequency of…

Impact of a Flexible Evaluation System on Effort and Timing of Study

ERIC Educational Resources Information Center

Pacharn, Parunchana; Bay, Darlene; Felton, Sandra

2012-01-01

This paper examines results of a flexible grading system that allows each student to influence the weight allocated to each performance measure. We construct a stylized model to determine students' optimal responses. Our analytical model predicts different optimal strategies for students with varying academic abilities: a frontloading strategy for…

The Use of Longitudinal Analysis to Identify More and Less Effective Schools.

ERIC Educational Resources Information Center

Goldberg, Zandra S.; Spartz, James L.

Three longitudinal studies of student achievement test data were conducted to examine the extent to which the variation in student achievement can be explained by differences in student background (including socioeconomic and prior achievement data) and school resources. This model assumes that achievement test performance may be predicted by…

Characteristics of 15-Year-Old Students Predicting Scientific Literacy Skills in Turkey

ERIC Educational Resources Information Center

Demir, Ergül

2016-01-01

Since 2003, Turkey regularly participates in PISA. According to the PISA 2012 results, 15-year-old students in Turkey performed below both OECD countries and participating countries. Defining the relations between students' characteristics and their scientific literacy skills is thought to provide deeper understanding for the nature of this…

The Effects of Achievement Goals and Self-Regulated Learning Behaviors on Reading Comprehension in Technology-Enhanced Learning Environments

ERIC Educational Resources Information Center

Bernacki, Matthew L.; Byrnes, James P.; Cromley, Jennifer G.

2012-01-01

Studies examining students' achievement goals, cognitive engagement strategies and performance have found that achievement goals tend to predict classes of cognitive strategy use which predict performance on measures of learning. These studies have led to deeper theoretical understanding, but their reliance on self-report data limit the…

Identification of the Predictive Power of Five Factor Personality Traits for Individual Instrument Performance Anxiety

ERIC Educational Resources Information Center

Özdemir, Gökhan; Dalkiran, Esra

2017-01-01

This study, with the aim of identifying the predictive power of the five-factor personality traits of music teacher candidates on individual instrument performance anxiety, was designed according to the relational screening model. The study population was students attending the Music Education branch of Fine Arts Education Departments in…

Developing Local Oral Reading Fluency Cut Scores for Predicting High-Stakes Test Performance

ERIC Educational Resources Information Center

Grapin, Sally L.; Kranzler, John H.; Waldron, Nancy; Joyce-Beaulieu, Diana; Algina, James

2017-01-01

This study evaluated the classification accuracy of a second grade oral reading fluency curriculum-based measure (R-CBM) in predicting third grade state test performance. It also compared the long-term classification accuracy of local and publisher-recommended R-CBM cut scores. Participants were 266 students who were divided into a calibration…

The effect of research-based instruction in introductory physics on a common cognitive bias

NASA Astrophysics Data System (ADS)

Galloway, Ross K.; Bates, Simon P.; Parker, Jonathan; Usoskina, Evguenia

2013-01-01

Inspired by a paper at last year's PERC conference, in which Rebello [1] compared students' individual and cohort mean score estimations with their actual assessment scores, we present results of a study in which students in an introductory physics class were asked to predict their scores on two assessments, one delivered at the start of the course (pre-instruction) and one at the end of the course (post-instruction). Our results show that, pre-instruction, the academically strongest students tend to underestimate their score slightly, whereas the weakest overestimate their performance significantly, consistent with the findings of Rebello and demonstrating a well-known cognitive bias (the Dunning-Kruger effect). Post-instruction, we find that the ability of the original weakest quartile cohort to accurately predict their own assessment score has improved significantly, but a flux of students between quartiles from one assessment to the other reveals that the least able students continue to over-estimate their performance, but with a reduced mean discrepancy. We discuss the implications these results have for instruction and for development of enhanced metacognition amongst physics students.

Comparative Predictive Validity of the New MCAT Using Different Admissions Criteria.

ERIC Educational Resources Information Center

Golmon, Melton E.; Berry, Charles A.

1981-01-01

New Medical College Admission Test (MCAT) scores and undergraduate academic achievement were examined for their validity in predicting the performance of two select student populations at Northwestern University Medical School. The data support the hypothesis that New MCAT scores possess substantial predictive validity. (Author/MLW)

Predictive validity of the personal qualities assessment for selection of medical students in Scotland.

PubMed

Dowell, Jon; Lumsden, Mary Ann; Powis, David; Munro, Don; Bore, Miles; Makubate, Boikanyo; Kumwenda, Ben

2011-01-01

The Personal Qualities Assessment (PQA) was developed to enhance medical student selection by measuring a range of non-cognitive attributes in the applicants to medical school. Applicants to the five Scottish medical schools were invited to pilot the test in 2001 and 2002. To evaluate the predictive validity of PQA for selecting medical students. A longitudinal cohort study was conducted in which PQA scores were compared with senior year medical school performance. Consent to access performance markers was obtained from 626 students (61.6% of 1017 entrants in 2002-2003). Linkable Foundation Year (4th) rankings were available for 411 (66%) students and objective structured clinical examination (OSCE) rankings for 335 (54%) of those consenting. Both samples were representative of the original cohort. No significant correlations were detected between separate elements of the PQA assessment and student performance. However, using the algorithm advocated by Powis et al. those defined as 'non-extreme' (<±1.5 SD from the cohort mean scores; SD, standard deviation) character types on the involved-detached and on the libertarian-communitarian moral orientation scales were ranked higher in OSCEs (average of 7.5% or 25 out of 335, p = 0.049). This study was limited by high attrition and basic outcome markers which are insensitive to relevant non-cognitive characteristics. However, it is the largest currently available study of predictive validity for the PQA assessment. There was one finding of significance: that those students who were identified by PQA as 'not extreme' on the two personal characteristics scales performed better in an OSCE measure of professionalism. Futures studies are required since psychometric testing for both cognitive and non-cognitive attributes are increasingly used in admission process and these should include more and better measures of professionalism against which to correlate non-cognitive traits.

The relationship between assessment methods and self-directed learning readiness in medical education.

PubMed

Monroe, Katherine S

2016-03-11

This research explored the assessment of self-directed learning readiness within the comprehensive evaluation of medical students' knowledge and skills and the extent to which several variables predicted participants' self-directed learning readiness prior to their graduation. Five metrics for evaluating medical students were considered in a multiple regression analysis. Fourth-year medical students at a competitive US medical school received an informed consent and an online survey. Participants voluntarily completed a self-directed learning readiness scale that assessed four subsets of self-directed learning readiness and consented to the release of their academic records. The assortment of metrics considered in this study only vaguely captured students' self-directedness. The strongest predictors were faculty evaluations of students' performance on clerkship rotations. Specific clerkship grades were mildly predictive of three subscales. The Pediatrics clerkship modestly predicted critical self-evaluation (r=-.30, p=.01) and the Psychiatry clerkship mildly predicted learning self-efficacy (r =-.30, p=.01), while the Junior Surgery clerkship nominally correlated with participants' effective organization for learning (r=.21, p=.05). Other metrics examined did not contribute to predicting participants' readiness for self-directed learning. Given individual differences among participants for the variables considered, no combination of students' grades and/or test scores overwhelmingly predicted their aptitude for self-directed learning. Considering the importance of fostering medical students' self-directed learning skills, schools need a reliable and pragmatic approach to measure them. This data analysis, however, offered no clear-cut way of documenting students' self-directed learning readiness based on the evaluation metrics included.

The Academic Backbone: longitudinal continuities in educational achievement from secondary school and medical school to MRCP(UK) and the specialist register in UK medical students and doctors

PubMed Central

2013-01-01

Background Selection of medical students in the UK is still largely based on prior academic achievement, although doubts have been expressed as to whether performance in earlier life is predictive of outcomes later in medical school or post-graduate education. This study analyses data from five longitudinal studies of UK medical students and doctors from the early 1970s until the early 2000s. Two of the studies used the AH5, a group test of general intelligence (that is, intellectual aptitude). Sex and ethnic differences were also analyzed in light of the changing demographics of medical students over the past decades. Methods Data from five cohort studies were available: the Westminster Study (began clinical studies from 1975 to 1982), the 1980, 1985, and 1990 cohort studies (entered medical school in 1981, 1986, and 1991), and the University College London Medical School (UCLMS) Cohort Study (entered clinical studies in 2005 and 2006). Different studies had different outcome measures, but most had performance on basic medical sciences and clinical examinations at medical school, performance in Membership of the Royal Colleges of Physicians (MRCP(UK)) examinations, and being on the General Medical Council Specialist Register. Results Correlation matrices and path analyses are presented. There were robust correlations across different years at medical school, and medical school performance also predicted MRCP(UK) performance and being on the GMC Specialist Register. A-levels correlated somewhat less with undergraduate and post-graduate performance, but there was restriction of range in entrants. General Certificate of Secondary Education (GCSE)/O-level results also predicted undergraduate and post-graduate outcomes, but less so than did A-level results, but there may be incremental validity for clinical and post-graduate performance. The AH5 had some significant correlations with outcome, but they were inconsistent. Sex and ethnicity also had predictive effects on measures of educational attainment, undergraduate, and post-graduate performance. Women performed better in assessments but were less likely to be on the Specialist Register. Non-white participants generally underperformed in undergraduate and post-graduate assessments, but were equally likely to be on the Specialist Register. There was a suggestion of smaller ethnicity effects in earlier studies. Conclusions The existence of the Academic Backbone concept is strongly supported, with attainment at secondary school predicting performance in undergraduate and post-graduate medical assessments, and the effects spanning many years. The Academic Backbone is conceptualized in terms of the development of more sophisticated underlying structures of knowledge ('cognitive capital’ and 'medical capital’). The Academic Backbone provides strong support for using measures of educational attainment, particularly A-levels, in student selection. PMID:24229333

Do the Timeliness, Regularity, and Intensity of Online Work Habits Predict Academic Performance?

ERIC Educational Resources Information Center

Dvorak, Tomas; Jia, Miaoqing

2016-01-01

This study analyzes the relationship between students' online work habits and academic performance. We utilize data from logs recorded by a course management system (CMS) in two courses at a small liberal arts college in the U.S. Both courses required the completion of a large number of online assignments. We measure three aspects of students'…

Psychomotor and Perceptual Speed Abilities and Skilled Performance.

DTIC Science & Technology

1999-02-01

of the perceptual speed and touch-panel psychomotor tests used in the current project were administered to School of Dentistry students. Although...progress). Touch-panel monitor based psychomotor tests for predicting skilled performance: An exploratory study with School of Dentistry students...Paper to be submitted for presentation at the 1999 Human Factors and Ergonomics Society annual meeting. Ackerman, P. L., & Kanfer, R. (1993

Kinematic predictors of single-leg squat performance: a comparison of experienced physiotherapists and student physiotherapists.

PubMed

Weeks, Benjamin K; Carty, Christopher P; Horan, Sean A

2012-10-25

The single-leg squat (SLS) is a common test used by clinicians for the musculoskeletal assessment of the lower limb. The aim of the current study was to reveal the kinematic parameters used by experienced and inexperienced clinicians to determine SLS performance and establish reliability of such assessment. Twenty-two healthy, young adults (23.8 ± 3.1 years) performed three SLSs on each leg whilst being videoed. Three-dimensional data for the hip and knee was recorded using a 10-camera optical motion analysis system (Vicon, Oxford, UK). SLS performance was rated from video data using a 10-point ordinal scale by experienced musculoskeletal physiotherapists and student physiotherapists. All ratings were undertaken a second time at least two weeks after the first by the same raters. Stepwise multiple regression analysis was performed to determine kinematic predictors of SLS performance scores and inter- and intra-rater reliability were determined using a two-way mixed model to generate intra-class correlation coefficients (ICC3,1) of consistency. One SLS per leg for each participant was used for analysis, providing 44 SLSs in total. Eight experienced physiotherapists and eight physiotherapy students agreed to rate each SLS. Variance in physiotherapist scores was predicted by peak knee flexion, knee medio-lateral displacement, and peak hip adduction (R2 = 0.64, p = 0.01), while variance in student scores was predicted only by peak knee flexion, and knee medio-lateral displacement (R2 = 0.57, p = 0.01). Inter-rater reliability was good for physiotherapists (ICC3,1 = 0.71) and students (ICC3,1 = 0.60), whilst intra-rater reliability was excellent for physiotherapists (ICC3,1 = 0.81) and good for students (ICC3,1 = 0.71). Physiotherapists and students are both capable of reliable assessment of SLS performance. Physiotherapist assessments, however, bear stronger relationships to lower limb kinematics and are more sensitive to hip joint motion than student assessments.

Identifying Medical Students Likely to Exhibit Poor Professionalism and Knowledge During Internship

PubMed Central

Durning, Steven J.; Cohen, Daniel L.; Cruess, David; Jackson, Jeffrey L.

2007-01-01

CONTEXT Identifying medical students who will perform poorly during residency is difficult. OBJECTIVE Determine whether commonly available data predicts low performance ratings during internship by residency program directors. DESIGN Prospective cohort involving medical school data from graduates of the Uniformed Services University (USU), surveys about experiences at USU, and ratings of their performance during internship by their program directors. SETTING Uniformed Services University. PARTICIPANTS One thousand sixty-nine graduates between 1993 and 2002. MAIN OUTCOME MEASURE(S) Residency program directors completed an 18-item survey assessing intern performance. Factor analysis of these items collapsed to 2 domains: knowledge and professionalism. These domains were scored and performance dichotomized at the 10th percentile. RESULTS Many variables showed a univariate relationship with ratings in the bottom 10% of both domains. Multivariable logistic regression modeling revealed that grades earned during the third year predicted low ratings in both knowledge (odds ratio [OR] = 4.9; 95%CI = 2.7–9.2) and professionalism (OR = 7.3; 95%CI = 4.1–13.0). USMLE step 1 scores (OR = 1.03; 95%CI = 1.01–1.05) predicted knowledge but not professionalism. The remaining variables were not independently predictive of performance ratings. The predictive ability for the knowledge and professionalism models was modest (respective area under ROC curves = 0.735 and 0.725). CONCLUSIONS A strong association exists between the third year GPA and internship ratings by program directors in professionalism and knowledge. In combination with third year grades, either the USMLE step 1 or step 2 scores predict poor knowledge ratings. Despite a wealth of available markers and a large data set, predicting poor performance during internship remains difficult. PMID:17952512

Secondary School Students' LLL Competencies, and Their Relation with Classroom Structure and Achievement.

PubMed

Klug, Julia; Lüftenegger, Marko; Bergsmann, Evelyn; Spiel, Christiane; Schober, Barbara

2016-01-01

There is a strong urge to foster lifelong learning (LLL) competencies with its key components - motivation and self-regulated learning - from early on in the education system. School in general is presently not considered to be successful in systematically imparting motivation and self-regulated learning strategies. There is strong evidence that decisive motivational determinants decrease the longer students stay in school. At present, the central sources of information about the situation in Austria are international monitoring studies, which only examine selected aspects of specific target groups, and their interpretability concerning mean values is constricted due to cultural differences. Thus, it is important to conduct additional and more differentiated national surveys of the actual state. This is why this study aimed at answering the following questions: (1) how well are Austrian students equipped for the future, in terms of their lifelong learning competencies, (2) can perceived classroom structure predict students' LLL, and (3) is there a correlation of students' LLL with their achievement in the school subjects math and German language. 5366 students (52.1% female) from 36 Austrian schools took part in the online-questionnaire (mean age 15.35 years, SD = 2.45), which measured their perceived LLL competencies in the subjects math and German language, their perceived classroom structure and their achievement. Results showed that the great majority of Austrian students - independent from domain and sex - know and are able to apply cognitive as well as metacognitive learning strategies. With regard to motivation the picture is less satisfactory: whilst students' self-efficacy is not the problem, there is a lack of interest in the school subjects and they often report to follow performance approach goals. Classroom structure positively predicted students' goals, interest, self-efficacy and learning strategies. Self-efficacy, performance approach goals, meta-cognitive and deep learning strategies in turn predicted achievement positively, and performance avoidance goals negatively.

Early prediction of student goals and affect in narrative-centered learning environments

NASA Astrophysics Data System (ADS)

Lee, Sunyoung

Recent years have seen a growing recognition of the role of goal and affect recognition in intelligent tutoring systems. Goal recognition is the task of inferring users' goals from a sequence of observations of their actions. Because of the uncertainty inherent in every facet of human computer interaction, goal recognition is challenging, particularly in contexts in which users can perform many actions in any order, as is the case with intelligent tutoring systems. Affect recognition is the task of identifying the emotional state of a user from a variety of physical cues, which are produced in response to affective changes in the individual. Accurately recognizing student goals and affect states could contribute to more effective and motivating interactions in intelligent tutoring systems. By exploiting knowledge of student goals and affect states, intelligent tutoring systems can dynamically modify their behavior to better support individual students. To create effective interactions in intelligent tutoring systems, goal and affect recognition models should satisfy two key requirements. First, because incorrectly predicted goals and affect states could significantly diminish the effectiveness of interactive systems, goal and affect recognition models should provide accurate predictions of user goals and affect states. When observations of users' activities become available, recognizers should make accurate early" predictions. Second, goal and affect recognition models should be highly efficient so they can operate in real time. To address key issues, we present an inductive approach to recognizing student goals and affect states in intelligent tutoring systems by learning goals and affect recognition models. Our work focuses on goal and affect recognition in an important new class of intelligent tutoring systems, narrative-centered learning environments. We report the results of empirical studies of induced recognition models from observations of students' interactions in narrative-centered learning environments. Experimental results suggest that induced models can make accurate early predictions of student goals and affect states, and they are sufficiently efficient to meet the real-time performance requirements of interactive learning environments.

The impact of daytime sleepiness on the school performance of college students with attention deficit hyperactivity disorder (ADHD): a prospective longitudinal study.

PubMed

Langberg, Joshua M; Dvorsky, Melissa R; Becker, Stephen P; Molitor, Stephen J

2014-06-01

This prospective longitudinal study evaluated the impact of daytime sleepiness on the school performance of 62 college students diagnosed comprehensively with attention deficit hyperactivity disorder. The primary goal of the study was to determine if self-reported daytime sleepiness rated at the beginning of the academic year could predict academic and overall functioning at the end of the academic year while also considering potentially important covariates, including symptoms of inattention, hyperactivity and impulsivity, medication status and whether or not students lived at home or on-campus. Self-reported daytime sleepiness predicted longitudinally school maladjustment, overall functional impairment and the number of D and F grades (i.e. poor and failing) students received in courses above and beyond both self- and parent-report of symptoms, but did not predict overall grade point average. Living at home served as a protective factor and was associated with less school maladjustment and overall impairment. Gender was the only significant predictor in the overall grade point average model, with female gender associated with higher overall grades. The implications of these findings for monitoring and treatment of sleep disturbances in college students with attention deficit hyperactivity disorder are discussed. © 2013 European Sleep Research Society.

Spanish version of the Time Management Behavior Questionnaire for university students.

PubMed

García-Ros, Rafael; Pérez-González, Francisco

2012-11-01

The main objective of the study is to analyze the psychometric properties and predictive capacity on academic performance in university contexts of a Spanish adaptation of the Time Management Behavior Questionnaire. The scale was applied to 462 students newly admitted at the Universitat de València in the 2006-2007 school year. The analyses performed made it possible to reproduce the factorial structure of the original version of the questionnaire with slight modifications in the ascription of various items. The underlying factorial structure includes four interrelated dimensions (Establishing objectives and priorities, Time management tools, Perception of time control and Preference for disorganization), which present satisfactory levels of reliability and an adequate convergent validity with the Time management subscale of the Motivated Strategies for Learning Questionnaire. The scores on the dimensions of time management show significant levels of association with academic performance in the first year of university studies, especially highlighting the predictive capacity of the subscale dealing with the Establishment of objectives and priorities. These results show the reliability and validity of this adaptation of the scale for evaluating how the students manage their academic time, and predicting their performance in the year they initiate the degree program, thus aiding in the development of intervention proposals directed towards improving these skills.

Predicting introductory programming performance: A multi-institutional multivariate study

NASA Astrophysics Data System (ADS)

Bergin, Susan; Reilly, Ronan

2006-12-01

A model for predicting student performance on introductory programming modules is presented. The model uses attributes identified in a study carried out at four third-level institutions in the Republic of Ireland. Four instruments were used to collect the data and over 25 attributes were examined. A data reduction technique was applied and a logistic regression model using 10-fold stratified cross validation was developed. The model used three attributes: Leaving Certificate Mathematics result (final mathematics examination at second level), number of hours playing computer games while taking the module and programming self-esteem. Prediction success was significant with 80% of students correctly classified. The model also works well on a per-institution level. A discussion on the implications of the model is provided and future work is outlined.

Situational and Personal Causes of Student Cheating

ERIC Educational Resources Information Center

Rettinger, David A.; Kramer, Yair

2009-01-01

The causes of students' academic dishonesty behavior were explored using survey and experimental vignette methods. Participants were surveyed about their own cheating behavior, neutralizing attitudes, performance/mastery orientation and perceptions of peer attitudes and behavior. As predicted, neutralizing attitudes influenced cheating behavior…

Logistic regression analysis to predict Medical Licensing Examination of Thailand (MLET) Step1 success or failure.

PubMed

Wanvarie, Samkaew; Sathapatayavongs, Boonmee

2007-09-01

The aim of this paper was to assess factors that predict students' performance in the Medical Licensing Examination of Thailand (MLET) Step1 examination. The hypothesis was that demographic factors and academic records would predict the students' performance in the Step1 Licensing Examination. A logistic regression analysis of demographic factors (age, sex and residence) and academic records [high school grade point average (GPA), National University Entrance Examination Score and GPAs of the pre-clinical years] with the MLET Step1 outcome was accomplished using the data of 117 third-year Ramathibodi medical students. Twenty-three (19.7%) students failed the MLET Step1 examination. Stepwise logistic regression analysis showed that the significant predictors of MLET Step1 success/failure were residence background and GPAs of the second and third preclinical years. For students whose sophomore and third-year GPAs increased by an average of 1 point, the odds of passing the MLET Step1 examination increased by a factor of 16.3 and 12.8 respectively. The minimum GPAs for students from urban and rural backgrounds to pass the examination were estimated from the equation (2.35 vs 2.65 from 4.00 scale). Students from rural backgrounds and/or low-grade point averages in their second and third preclinical years of medical school are at risk of failing the MLET Step1 examination. They should be given intensive tutorials during the second and third pre-clinical years.

Curricular Activities that Promote Metacognitive Skills Impact Lower-Performing Students in an Introductory Biology Course†

PubMed Central

Dang, Nathan V.; Chiang, Jacob C.; Brown, Heather M.

2018-01-01

This study explores the impacts of repeated curricular activities designed to promote metacognitive skills development and academic achievement on students in an introductory biology course. Prior to this study, the course curriculum was enhanced with pre-assignments containing comprehension monitoring and self-evaluation questions, exam review assignments with reflective questions related to study habits, and an optional opportunity for students to explore metacognition and deep versus surface learning. We used a mixed-methods study design and collected data over two semesters. Self-evaluation, a component of metacognition, was measured via exam score postdictions, in which students estimated their exam scores after completing their exam. Metacognitive awareness was assessed using the Metacognitive Awareness Inventory (MAI) and a reflective essay designed to gauge students’ perceptions of their metacognitive skills and study habits. In both semesters, more students over-predicted their Exam 1 scores than under-predicted, and statistical tests revealed significantly lower mean exam scores for the over-predictors. By Exam 3, under-predictors still scored significantly higher on the exam, but they outnumbered the over-predictors. Lower-performing students also displayed a significant increase in exam postdiction accuracy by Exam 3. While there was no significant difference in students’ MAI scores from the beginning to the end of the semester, qualitative analysis of reflective essays indicated that students benefitted from the assignments and could articulate clear action plans to improve their learning and performance. Our findings suggest that assignments designed to promote metacognition can have an impact on students over the course of one semester and may provide the greatest benefits to lower-performing students. PMID:29904551

Visuospatial and psychomotor aptitude predicts endovascular performance of inexperienced individuals on a virtual reality simulator.

PubMed

Van Herzeele, Isabelle; O'Donoghue, Kevin G L; Aggarwal, Rajesh; Vermassen, Frank; Darzi, Ara; Cheshire, Nicholas J W

2010-04-01

This study evaluated virtual reality (VR) simulation for endovascular training of medical students to determine whether innate perceptual, visuospatial, and psychomotor aptitude (VSA) can predict initial and plateau phase of technical endovascular skills acquisition. Twenty medical students received didactic and endovascular training on a commercially available VR simulator. Each student treated a series of 10 identical noncomplex renal artery stenoses endovascularly. The simulator recorded performance data instantly and objectively. An experienced interventionalist rated the performance at the initial and final sessions using generic (out of 40) and procedure-specific (out of 30) rating scales. VSA were tested with fine motor dexterity (FMD, Perdue Pegboard), psychomotor ability (minimally invasive virtual reality surgical trainer [MIST-VR]), image recall (Rey-Osterrieth), and organizational aptitude (map-planning). VSA performance scores were correlated with the assessment parameters of endovascular skills at commencement and completion of training. Medical students exhibited statistically significant learning curves from the initial to the plateau performance for contrast usage (medians, 28 vs 17 mL, P < .001), total procedure time (2120 vs 867 seconds, P < .001), and fluoroscopy time (993 vs. 507 seconds, P < .001). Scores on generic and procedure-specific rating scales improved significantly (10 vs 25, P < .001; 8 vs 17 P < .001). Significant correlations were noted for FMD with initial and plateau sessions for fluoroscopy time (r(s) = -0.564, P = .010; r(s) = -.449, P = .047). FMD correlated with procedure-specific scores at the initial session (r(s) = .607, P = .006). Image recall correlated with generic skills at the end of training (r(s) = .587, P = .006). Simulator-based training in endovascular skills improved performance in medical students. There were significant correlations between initial endovascular skill and fine motor dexterity as well as with image recall at end of the training period. In addition to current recruitment strategies, VSA may be a useful tool for predictive validity studies.

Predictive Validity of the MCAT as a Function of Undergraduate Institution.

ERIC Educational Resources Information Center

Zeleznik, Carter; And Others

1987-01-01

A study examining how the Medical College Admission Test's (MCAT) ability to predict early medical school performance differed for students from different undergraduate institutions raised questions about the use of the MCAT for admissions decisions. (MSE)

Exploring mathematics anxiety and attitude: Mathematics students' experiences

NASA Astrophysics Data System (ADS)

Sahri, Nurul Ashikin; Kamaruzaman, Wan Nur Farahdalila Wan; Jamil, Jastini Mohd.; Shaharanee, Izwan Nizal Mohd.

2017-11-01

A quantitative and correlational, survey methods were used to investigate the relationships among mathematical anxiety and attitude toward student's mathematics performance. Participants were 100 students volunteer to enroll in undergraduate Industrial Statistics, Decision Sciences and Business Mathematics at one of northern university in Malaysia. Survey data consisted of demographic items and Likert scale items. The collected data was analyzed by using the idea of correlation and regression analysis. The results indicated that there was a significant positive relationship between students' attitude and mathematics anxiety. Results also indicated that a substantial positive effect of students' attitude and mathematics anxiety in students' achievement. Further study can be conducted on how mathematical anxiety and attitude toward mathematics affects can be used to predict the students' performance in the class.

The UK Clinical Aptitude Test and clinical course performance at Nottingham: a prospective cohort study.

PubMed

Yates, Janet; James, David

2013-02-26

The UK Clinical Aptitude Test (UKCAT) was introduced in 2006 as an additional tool for the selection of medical students. It tests mental ability in four distinct domains (Verbal Reasoning, Quantitative Reasoning, Abstract Reasoning, and Decision Analysis), and the results are available to students and admission panels in advance of the selection process. Our first study showed little evidence of any predictive validity for performance in the first two years of the Nottingham undergraduate course.The study objective was to determine whether the UKCAT scores had any predictive value for the later parts of the course, largely delivered via clinical placements. Students entering the course in 2007 and who had taken the UKCAT were asked for permission to use their anonymised data in research. The UKCAT scores were incorporated into a database with routine pre-admission socio-demographics and subsequent course performance data. Correlation analysis was followed by hierarchical multivariate linear regression. The original study group comprised 204/254 (80%) of the full entry cohort. With attrition over the five years of the course this fell to 185 (73%) by Year 5. The Verbal Reasoning score and the UKCAT Total score both demonstrated some univariate correlations with clinical knowledge marks, and slightly less with clinical skills. No parts of the UKCAT proved to be an independent predictor of clinical course marks, whereas prior attainment was a highly significant predictor (p <0.001). This study of one cohort of Nottingham medical students showed that UKCAT scores at admission did not independently predict subsequent performance on the course. Whilst the test adds another dimension to the selection process, its fairness and validity in selecting promising students remains unproven, and requires wider investigation and debate by other schools.

Social Capital, Information, and Socioeconomic Disparities in Math Coursework

PubMed Central

Crosnoe, Robert; Schneider, Barbara

2011-01-01

Analysis of the National Education Longitudinal Study revealed that socioeconomically advantaged students persist in high school math at higher rates than their disadvantaged peers, even when they have the same initial placements and skill levels. These disparities are larger among students with prior records of low academic status because students from more privileged backgrounds persist in math coursework even when their prior performance predicts they will not. Among students with low middle school math performance, those from socioeconomically disadvantaged families appear to benefit from having consultants for coursework decisions, so that they make up ground with their socioeconomically advantaged peers. PMID:21743762

Predictive Performance Assessment: Trait and State Dimensions Should not be Confused

NASA Astrophysics Data System (ADS)

Pattyn, N.; Migeotte, P.-F.; Morais, J.; Cluydts, R.; Soetens, E.; Meeusen, R.; de Schutter, G.; Nederhof, E.; Kolinsky, R.

2008-06-01

One of the major aims of performance investigation is to obtain a measure predicting real-life performance, in order to prevent consequences of a potential decrement. Whereas the predictive validity of such assessment has been extensively described for long-term outcomes, as is the case for testing in selection context, equivalent evidence is lacking regarding the short-term predictive value of cognitive testing, i.e., whether these results reflect real-life performance on an immediately subsequent task. In this series of experiments, we investigated both medium-term and short-term predictive value of psychophysiological testing with regard to real-life performance in two operational settings: military student pilots with regard to their success on an evaluation flight, and special forces candidates with regard to their performance on their training course. Our results showed some relationships between test performance and medium-term outcomes. However, no short-term predictive value could be identified for cognitive testing, despite the fact physiological data showed interesting trends. We recommend a critical distinction between "state" and "trait" dimensions of performance with regard to the predictive value of testing.

Ethical Considerations in the Practical Application of the Unisa Socio-Critical Model of Student Success

ERIC Educational Resources Information Center

Fynn, Angelo

2016-01-01

The prediction and classification of student performance has always been a central concern within higher education institutions. It is therefore natural for higher education institutions to harvest and analyse student data to inform decisions on education provision in resource constrained South African environments. One of the drivers for the use…

Assessment Testing: Analysis and Predictions, Spring-Fall 1985.

ERIC Educational Resources Information Center

Harris, Howard L.; Hansson, Claudia J.

During spring and fall 1985, a study was conducted at Cosumnes River College (CRC) to determine how assessment testing scores related to student persistence and performance. The student history files of a random sample of 498 students who had been tested by the CRC Assessment Center during spring and fall 1985 were examined, yielding the following…

Motivational and Skills, Social, and Self-Management Predictors of College Outcomes: Constructing the Student Readiness Inventory

ERIC Educational Resources Information Center

Le, Huy; Casillas, Alex; Robbins, Steven B.; Langley, Ronelle

2005-01-01

The authors used a rational-empirical approach to construct the Student Readiness Inventory, measuring psychosocial and academic-related skill factors found to predict two important college outcomes, academic performance and retention, in a recent meta-analysis. The initial item pool was administered to 5,970 first-year college students and high…

You Are Your Words: Modeling Students' Vocabulary Knowledge with Natural Language Processing Tools

ERIC Educational Resources Information Center

Allen, Laura K.; McNamara, Danielle S.

2015-01-01

The current study investigates the degree to which the lexical properties of students' essays can inform stealth assessments of their vocabulary knowledge. In particular, we used indices calculated with the natural language processing tool, TAALES, to predict students' performance on a measure of vocabulary knowledge. To this end, two corpora were…

Students' Engagement with a Collaborative Wiki Tool Predicts Enhanced Written Exam Performance

ERIC Educational Resources Information Center

Stafford, Tom; Elgueta, Herman; Cameron, Harriet

2014-01-01

We introduced voluntary wiki-based exercises to a long-running cognitive psychology course, part of the core curriculum for an undergraduate degree in psychology. Over 2 yearly cohorts, students who used the wiki more also scored higher on the final written exam. Using regression analysis, it is possible to account for students' tendency to score…

A Logistic Approach to Predicting Student Success in Online Database Courses

ERIC Educational Resources Information Center

Garman, George

2010-01-01

This paper examines the affects of reading comprehension on the performance of online students in a beginning database management class. Reading comprehension is measured by the results of a Cloze Test administered online to the students during the first week of classes. Using data collected from 2002 through 2008, the significance of the Cloze…

Can Students Really Multitask? An Experimental Study of Instant Messaging while Reading

ERIC Educational Resources Information Center

Bowman, Laura L.; Levine, Laura E.; Waite, Bradley M.; Gendron, Michael

2010-01-01

Students often "multitask" with electronic media while doing schoolwork. We examined the effects of one form of media often used in such multitasking, instant messaging (IM). We predicted that students who engaged in IMing while reading a typical academic psychology passage online would take longer to read the passage and would perform more poorly…

Predicting Community College Student Success by Participation in a First-Year Experience Course

ERIC Educational Resources Information Center

Gardner, Andy Franklin

2013-01-01

A first-year experience is a collaborative effort of many initiatives, with varying names that have the greatest impact on student success during the first year of college. A first-year experience course, a feature of the first-year experience, is an intervention program designed to increase student academic performance and integration (Braxton…

Exploring the Impact of Undergraduate Intramural Sports on Undergraduate Students' Perceived Sense of Community: A Multiple Regression Analysis

ERIC Educational Resources Information Center

Penland, Nathan Paul

2017-01-01

Research has shown benefits to the student experience for college students when they participate in intramural sports on university campuses. These benefits include improved physical and social health as well as academic performance. This non-experimental, predictive correlational study sought to understand if a relationship exists between the…

An Empirical Examination of the Roles of Ability and Gender in Collaborative Homework Assignments

ERIC Educational Resources Information Center

Parker, Jeffrey

2010-01-01

The author investigates how ability and gender affect grades on homework projects performed by assigned pairs of students in an undergraduate macroeconomics course. The assignment grade is found to depend on the ability of both students, and the relative importance of the stronger and weaker student differs in predictable ways depending on the…

An Examination of Pennsylvania's Classroom Diagnostic Testing as a Predictive Model of Pennsylvania System of School Assessment Performance

ERIC Educational Resources Information Center

Matsanka, Christopher

2017-01-01

The purpose of this non-experimental quantitative study was to investigate the relationship between Pennsylvania's Classroom Diagnostic Tools (CDT) interim assessments and the state-mandated Pennsylvania System of School Assessment (PSSA) and to create linear regression equations that could be used as models to predict student performance on the…

A study of the academic performance of medical students in the comprehensive examination of the basic sciences according to the indices of emotional intelligence and educational status

PubMed Central

Moslehi, Mohsen; Samouei, Rahele; Tayebani, Tayebeh; Kolahduz, Sima

2015-01-01

Background: Considering the increasing importance of emotional intelligence (EI) in different aspects of life, such as academic achievement, the present survey is aimed to predict academic performance of medical students in the comprehensive examination of the basic sciences, according to the indices of emotional intelligence and educational status. Materials and Methods: The present survey is a descriptive, analytical, and cross-sectional study performed on the medical students of Isfahan, Tehran, and Mashhad Universities of Medical Sciences. Sampling the universities was performed randomly after which selecting the students was done, taking into consideration the limitation in their numbers. Based on the inclusion criteria, all the medical students, entrance of 2005, who had attended the comprehensive basic sciences examination in 2008, entered the study. The data collection tools included an Emotional Intelligence Questionnaire (standardized in Isfahan), the average score of the first to fifth semesters, total average of each of the five semesters, and the grade of the comprehensive basic sciences examination. The data were analyzed through stepwise regression coefficient by SPSS software version 15. Results: The results indicated that the indicators of independence from an emotional intelligence test and average scores of the first and third academic semesters were significant in predicting the students’ academic performance in the comprehensive basic sciences examination. Conclusion: According to the obtained results, the average scores of students, especially in the earlier semesters, as well as the indicators of independence and the self-esteem rate of students can influence their success in the comprehensive basic sciences examination. PMID:26430693

A Course Specific Perspective in the Prediction of Academic Success.

ERIC Educational Resources Information Center

Beaulieu, R. P.

1990-01-01

Students (N=94) enrolled in a senior-level management course over six semesters were used to investigate the ability of four measures from two industrial tests to predict course performance. The resulting multiple regression equation with four predictors could accurately predict achievement of males, but not of females. (Author/TE)

A Comparison of Common and Novel Curriculum-Based Measurement of Reading Decision Rules to Predict Spring Performance for Students Receiving Supplemental Interventions

ERIC Educational Resources Information Center

Van Norman, Ethan R.; Parker, David C.

2018-01-01

Recent simulations suggest that trend line decision rules applied to curriculum-based measurement of reading progress monitoring data may lead to inaccurate interpretations unless data are collected for upward of 3 months. The authors of those studies did not manipulate goal line slope or account for a student's level of initial performance when…

Relationships between academic performance of medical students and their workplace performance as junior doctors.

PubMed

Carr, Sandra E; Celenza, Antonio; Puddey, Ian B; Lake, Fiona

2014-07-30

Little recent published evidence explores the relationship between academic performance in medical school and performance as a junior doctor. Although many forms of assessment are used to demonstrate a medical student's knowledge or competence, these measures may not reliably predict performance in clinical practice following graduation. This descriptive cohort study explores the relationship between academic performance of medical students and workplace performance as junior doctors, including the influence of age, gender, ethnicity, clinical attachment, assessment type and summary score measures (grade point average) on performance in the workplace as measured by the Junior Doctor Assessment Tool. There were two hundred participants. There were significant correlations between performance as a Junior Doctor (combined overall score) and the grade point average (r = 0.229, P = 0.002), the score from the Year 6 Emergency Medicine attachment (r = 0.361, P < 0.001) and the Written Examination in Year 6 (r = 0.178, P = 0.014). There was no significant effect of any individual method of assessment in medical school, gender or ethnicity on the overall combined score of performance of the junior doctor. Performance on integrated assessments from medical school is correlated to performance as a practicing physician as measured by the Junior Doctor Assessment Tool. These findings support the value of combining undergraduate assessment scores to assess competence and predict future performance.

Manipulation of M demand of chemistry problems and its effect on student performance: A neo-piagetian study

NASA Astrophysics Data System (ADS)

Niaz, Mansoor

It has been shown that student performance in chemistry problems decreases as the M demand of the problem increases, thus emphasizing the role of information processing in problem solving. It was hypothesized that manipulation (increase or decrease) of the M demand of a problem can affect student performance. Increasing the M demand of a problem would affect more the performance of subjects with a limited functional M capacity. The objective of this study is to investigate the effect of manipulation (increase) of the M demand of chemistry problems, having the same logical structure, on performance of students having different functional M capacity, cognitive style, and formal operational reasoning patterns. As predicted the performance of one group of students was lower after the manipulation (increase) in the M demand of the problem. This shows how even small changes in the amount of information required for processing can lead to working memory overload, as a consequence of a poor capacity for mobilization of M power.

Psychological predictors of college students' cell phone use while driving.

PubMed

Schlehofer, Michèle M; Thompson, Suzanne C; Ting, Sarah; Ostermann, Sharon; Nierman, Angela; Skenderian, Jessica

2010-07-01

Despite the known risk, many people talk on a phone while driving. This study explored psychological predictors of cell phone use while driving. College students (final N=69) completed a survey and predicted their driving performance both with and without a simultaneous phone conversation. Their actual performance on a driving simulator was then assessed. Cell phone use reduced performance on the simulation task. Further, perceiving oneself as good at compensating for driving distractions, overestimating one's performance on the driving simulator, and high illusory control predicted more frequent cell phone use while driving in everyday life. Finally, those who talked more frequently on a phone while driving had poorer real-world driving records. These findings suggest illusory control and positive illusions partly explain driver's decisions of whether to use cell phones while driving. Copyright 2010 Elsevier Ltd. All rights reserved.

A Systematic Review of Longitudinal Studies of Mathematics Difficulty.

PubMed

Nelson, Gena; Powell, Sarah R

2017-06-01

Some students may be diagnosed with a learning disability in mathematics or dyscalculia, whereas other students may demonstrate below-grade-level mathematics performance without a disability diagnosis. In the literature, researchers often identify students in both groups as experiencing math difficulty. To understand the performance of students with math difficulty, we examined 35 studies that reported longitudinal results of mathematics achievement (i.e., mathematics performance measured across at least a 12-month span). Our primary goal was to conduct a systematic review of these studies and to understand whether the growth of students with math difficulty was comparable or stagnant when compared with that of students without math difficulty. We also analyzed whether identification of math difficulty was predictive of mathematics achievement in later grades and whether a diagnosis of math difficulty was stable across grade levels. Results indicate that students with math difficulty demonstrate growth on mathematics measures, but this growth still leads to lower performance than that of students without math difficulty. Identification of math difficulty is strongly related to math performance in subsequent grades, and this diagnosis is often stable. Collectively, this literature indicates that students with math difficulty continue to struggle with mathematics in later grades.

Pharmacy Student Attitudes and Willingness to Engage in Care with People Living with HIV/AIDS

PubMed Central

Furtek, Kari J.; Malladi, Ruthvik; Ng, Eric; Zhou, Maria

2016-01-01

Objective. To describe the extent to which pharmacy students hold negative attitudes toward people living with HIV/AIDS (PLWHA) and to determine whether background variables, student knowledge, and professional attitudes may affect willingness to care for PLWHA. Methods. An online survey tool was developed and administered to 150 pharmacy students in their third professional year. Descriptive and stepwise multivariate regressions were performed. Results. While descriptive results showed a majority of respondents had favorable professional attitudes towards caring for PLWHA, most pharmacy students expressed discomfort with specific attitudes about being in close physical contact and receiving selected services from PLWHA. Multivariate results revealed that: (1) being a minority predicted greater knowledge; (2) having received prior HIV instruction and greater HIV knowledge predicted more positive professional attitudes caring for PLWHA; (3) being more socially liberal, having more positive professional attitudes caring for PLWHA, and having greater empathy towards PLWHA predicted student willingness to provide services. Conclusion. Future educational interventions specifically targeted toward socially conservative whites may impact greater student willingness to care for PLWHA. Additional research should also explore the generalizability of the present findings and modeling to pharmacy students in other regions of the country. PMID:27170816

Can Medical School Performance Predict Residency Performance? Resident Selection and Predictors of Successful Performance in Obstetrics and Gynecology

PubMed Central

Stohl, Hindi E.; Hueppchen, Nancy A.; Bienstock, Jessica L.

2010-01-01

Background During the evaluation process, Residency Admissions Committees typically gather data on objective and subjective measures of a medical student's performance through the Electronic Residency Application Service, including medical school grades, standardized test scores, research achievements, nonacademic accomplishments, letters of recommendation, the dean's letter, and personal statements. Using these data to identify which medical students are likely to become successful residents in an academic residency program in obstetrics and gynecology is difficult and to date, not well studied. Objective To determine whether objective information in medical students' applications can help predict resident success. Method We performed a retrospective cohort study of all residents who matched into the Johns Hopkins University residency program in obstetrics and gynecology between 1994 and 2004 and entered the program through the National Resident Matching Program as a postgraduate year-1 resident. Residents were independently evaluated by faculty and ranked in 4 groups according to perceived level of success. Applications from residents in the highest and lowest group were abstracted. Groups were compared using the Fisher exact test and the Student t test. Results Seventy-five residents met inclusion criteria and 29 residents were ranked in the highest and lowest quartiles (15 in highest, 14 in lowest). Univariate analysis identified no variables as consistent predictors of resident success. Conclusion In a program designed to train academic obstetrician-gynecologists, objective data from medical students' applications did not correlate with successful resident performance in our obstetrics-gynecology residency program. We need to continue our search for evaluation criteria that can accurately and reliably select the medical students that are best fit for our specialty. PMID:21976076

Nursing students' confidence in medication calculations predicts math exam performance.

PubMed

Andrew, Sharon; Salamonson, Yenna; Halcomb, Elizabeth J

2009-02-01

The aim of this study was to examine the psychometric properties, including predictive validity, of the newly-developed nursing self-efficacy for mathematics (NSE-Math). The NSE-Math is a 12 item scale that comprises items related to mathematic and arithmetic concepts underpinning medication calculations. The NSE-Math instrument was administered to second year Bachelor of Nursing students enrolled in a nursing practice subject. Students' academic results for a compulsory medication calculation examination for this subject were collected. One-hundred and twelve students (73%) completed both the NSE-Math instrument and the drug calculation assessment task. The NSE-Math demonstrated two factors 'Confidence in application of mathematic concepts to nursing practice' and 'Confidence in arithmetic concepts' with 63.5% of variance explained. Cronbach alpha for the scale was 0.90. The NSE-Math demonstrated predictive validity with the medication calculation examination results (p=0.009). Psychometric testing suggests the NSE-Math is a valid measure of mathematics self-efficacy of second year nursing students.

Assessing the integration of audience response system technology in teaching of anatomical sciences.

PubMed

Alexander, Cara J; Crescini, Weronika M; Juskewitch, Justin E; Lachman, Nirusha; Pawlina, Wojciech

2009-01-01

The goals of our study were to determine the predictive value and usability of an audience response system (ARS) as a knowledge assessment tool in an undergraduate medical curriculum. Over a three year period (2006-2008), data were collected from first year didactic blocks in Genetics/Histology and Anatomy/Radiology (n = 42-50 per class). During each block, students answered clinically oriented multiple choice questions using the ARS. Students' performances were recorded and cumulative ARS scores were compared with final examination performances. Correlation coefficients between these variables were calculated to assess the existence and direction of an association between ARS and final examination score. If associations existed, univariate models were then constructed using ARS as a predictor of final examination score. Student and faculty perception of ARS difficulty, usefulness, effect on performance, and preferred use were evaluated using a questionnaire. There was a statistically significant positive correlation between ARS and final examination scores in all didactic blocks and predictive univariate models were constructed for each relationship (all P < 0.0001). Students and faculty agreed that ARS was easy to use and a reliable tool for providing real-time feedback that improved their performance and participation. In conclusion, we found ARS to be an effective assessment tool benefiting the faculty and the students in a curriculum focused on interaction and self-directed learning. 2009 American Association of Anatomists

Clinical Performance and Admission Variables as Predictors of Passage of the National Physical Therapy Examination.

PubMed

Meiners, Kelly M; Rush, Douglas K

2017-01-01

Prior studies have explored variables that had predictive relationships with National Physical Therapy Examination (NPTE) score or NPTE failure. The purpose of this study was to explore whether certain variables were predictive of test-takers' first-time score on the NPTE. The population consisted of 134 students who graduated from the university's Professional DPT Program in 2012 to 2014. This quantitative study used a retrospective design. Two separate data analyses were conducted. First, hierarchical linear multiple regression (HMR) analysis was performed to determine which variables were predictive of first-time NPTE score. Second, a correlation analysis was performed on all 18 Physical Therapy Clinical Performance Instrument (PT CPI) 2006 category scores obtained during the first long-term clinical rotation, overall PT CPI 2006 score, and NPTE passage. With all variables entered, the HMR model predicted 39% of the variance seen in NPTE scores. The HMR results showed that physical therapy program first-year GPA (1PTGPA) was the strongest predictor and explained 24% of the variance in NPTE scores (b=0.572, p<0.001). The correlational analysis found no statistically significant correlation between the 18 PT CPI 2006 category scores, overall PT CPI 2006 score, and NPTE passage. As 1PTGPA had the most significant contribution to prediction of NPTE scores, programs need to monitor first-year students who display academic difficulty. PT CPI version 2006 scores were significantly correlated with each other, but not with NPTE score or NPTE passage. Both tools measure many of the same professional requirements but use different modes of assessment, and they may be considered complementary tools to gain a full picture of both the student's ability and skills.

Does the MCAT predict medical school and PGY-1 performance?

PubMed

Saguil, Aaron; Dong, Ting; Gingerich, Robert J; Swygert, Kimberly; LaRochelle, Jeffrey S; Artino, Anthony R; Cruess, David F; Durning, Steven J

2015-04-01

The Medical College Admissions Test (MCAT) is a high-stakes test required for entry to most U. S. medical schools; admissions committees use this test to predict future accomplishment. Although there is evidence that the MCAT predicts success on multiple choice-based assessments, there is little information on whether the MCAT predicts clinical-based assessments of undergraduate and graduate medical education performance. This study looked at associations between the MCAT and medical school grade point average (GPA), Medical Licensing Examination (USMLE) scores, observed patient care encounters, and residency performance assessments. This study used data collected as part of the Long-Term Career Outcome Study to determine associations between MCAT scores, USMLE Step 1, Step 2 clinical knowledge and clinical skill, and Step 3 scores, Objective Structured Clinical Examination performance, medical school GPA, and PGY-1 program director (PD) assessment of physician performance for students graduating 2010 and 2011. MCAT data were available for all students, and the PGY PD evaluation response rate was 86.2% (N = 340). All permutations of MCAT scores (first, last, highest, average) were weakly associated with GPA, Step 2 clinical knowledge scores, and Step 3 scores. MCAT scores were weakly to moderately associated with Step 1 scores. MCAT scores were not significantly associated with Step 2 clinical skills Integrated Clinical Encounter and Communication and Interpersonal Skills subscores, Objective Structured Clinical Examination performance or PGY-1 PD evaluations. MCAT scores were weakly to moderately associated with assessments that rely on multiple choice testing. The association is somewhat stronger for assessments occurring earlier in medical school, such as USMLE Step 1. The MCAT was not able to predict assessments relying on direct clinical observation, nor was it able to predict PD assessment of PGY-1 performance. Reprint & Copyright © 2015 Association of Military Surgeons of the U.S.

Higher clinical performance during a surgical clerkship is independently associated with matriculation of medical students into general surgery.

PubMed

Daly, Shaun C; Deal, Rebecca A; Rinewalt, Daniel E; Francescatti, Amanda B; Luu, Minh B; Millikan, Keith W; Anderson, Mary C; Myers, Jonathan A

2014-04-01

The purpose of our study was to determine the predictive impact of individual academic measures for the matriculation of senior medical students into a general surgery residency. Academic records were evaluated for third-year medical students (n = 781) at a single institution between 2004 and 2011. Cohorts were defined by student matriculation into either a general surgery residency program (n = 58) or a non-general surgery residency program (n = 723). Multivariate logistic regression was performed to evaluate independently significant academic measures. Clinical evaluation raw scores were predictive of general surgery matriculation (P = .014). In addition, multivariate modeling showed lower United States Medical Licensing Examination Step 1 scores to be independently associated with matriculation into general surgery (P = .007). Superior clinical aptitude is independently associated with general surgical matriculation. This is in contrast to the negative correlation United States Medical Licensing Examination Step 1 scores have on general surgery matriculation. Recognizing this, surgical clerkship directors can offer opportunities for continued surgical education to students showing high clinical aptitude, increasing their likelihood of surgical matriculation. Copyright © 2014 Elsevier Inc. All rights reserved.

Spiders in motion: demonstrating adaptation, structure-function relationships, and trade-offs in invertebrates.

PubMed

Bowlin, Melissa S; McLeer, Dorothy F; Danielson-Francois, Anne M

2014-03-01

Evolutionary history and structural considerations constrain all aspects of animal physiology. Constraints on invertebrate locomotion are especially straightforward for students to observe and understand. In this exercise, students use spiders to investigate the concepts of adaptation, structure-function relationships, and trade-offs. Students measure burst and endurance performance in several taxonomic families of spiders whose ecological niches have led to different locomotory adaptations. Based on observations of spiders in their natural habitat and prior background information, students make predictions about spider performance. Students then construct their own knowledge by performing a hands-on, inquiry-based scientific experiment where the results are not necessarily known. Depending on the specific families chosen, students can observe that web-dwelling spiders have more difficulty navigating complex terrestrial terrain than ground-dwelling spiders and that there is a trade-off between burst performance and endurance performance in spiders. Our inexpensive runway design allows for countless variations on this basic experiment; for example, we have successfully used runways to show students how the performance of heterothermic ectotherms varies with temperature. High levels of intra- and interindividual variation in performance underscore the importance of using multiple trials and statistical tests. Finally, this laboratory activity can be completely student driven or standardized, depending on the instructor's preference.

Predicting Success in Upper-Division Business Communication Classes.

ERIC Educational Resources Information Center

Wilson, Barbara; Plutsky, Susan

1997-01-01

Scores of 102 business communication students on the Descriptive Tests of Language Skills (DTLS) and grades on analytical reports, short assignments, and the overall course were examined. Females received higher course and report grades. The DTLS was a weak predictor of student performance. (SK)

Using Community College Prior Academic Performance to Predict Re-Enrollment at a Four-Year Online University

ERIC Educational Resources Information Center

Nadasen, Denise; List, Alexandra

2016-01-01

Students' re-enrollment in the subsequent semester after their first semester at a four-year institution is a strong predictor of retention and graduation. This is especially true for students who transfer from a community college to a four-year institution because of the many external or non-academic factors influencing a student's decision to…

Understanding Student Goal Orientation Tendencies to Predict Student Performance: A 2x2 Achievement Goal Orientation

ERIC Educational Resources Information Center

Miller, Mark Alan

2013-01-01

The study tested the 2X2 model of the Achievement Goal Orientation (AGO) theory in a military technical training environment while using the Air Force Officers Qualifying Test's academic aptitude score to control for the differences in the students' academic aptitude. The study method was quantitative and the design was correlational.…

Predicting Student Performance in Web-Based Distance Education Courses Based on Survey Instruments Measuring Personality Traits and Technical Skills

ERIC Educational Resources Information Center

Hall, Michael

2008-01-01

Two common web-based surveys, "Is Online Learning Right for Me?' and "What Technical Skills Do I Need?", were combined into a single survey instrument and given to 228 on-campus and 83 distance education students. The students were enrolled in four different classes (business, computer information services, criminal justice, and…

Student Hits in an Internet-Supported Course: How Can Instructors Use Them and What Do They Mean?

ERIC Educational Resources Information Center

Baugher, Dan; Varanelli, Andrew; Weisbord, Ellen

2003-01-01

The world of education is changing as Web-based technology and courseware are increasingly used for delivery of course material. In this environment, instructors may need new measures for determining student involvement, and ultimately student performance. This study examines whether hits to a Web site have any value for predicting student…

Prior Learning in Biology at High School Does Not Predict Performance in the First Year at University

ERIC Educational Resources Information Center

Bone, Elisa K.; Reid, Robert J.

2011-01-01

Students in their first year of university face a number of transition issues that can make realising their academic potential difficult. In the sciences, first-year courses cover a large amount of material across broad subject areas, which can make them troublesome for students without background knowledge, and students need to adapt to typically…

The Role of Cognition, Motivation, and Emotion in Explaining the Mathematics Achievement Gap between Hispanic and White Students

ERIC Educational Resources Information Center

Stevens, Tara; Olivarez, Arturo, Jr.; Hamman, Doug

2006-01-01

The authors investigated the relationships between cognitive, motivational, and emotional variables across Hispanic and White students to predict mathematics performance. A theoretically based structural model fit a total sample of 666 4th- to 10th-grade students well, supporting that self-efficacy, sources of self-efficacy, and emotional feedback…

Effects of Coaching on the Validity of the SAT: A Simulation Study.

ERIC Educational Resources Information Center

Baydar, Nazli

The effects of student coaching in preparation for the College Board Scholastic Aptitude Test (SAT) on the predictive validity of this test for freshman year performance were studied using data on 1985 freshman year students from four colleges. After the validity of the SAT was estimated for each school, a given proportion of students was picked,…

Learning Gains from a Recurring "Teach and Question" Homework Assignment in a General Biology Course: Using Reciprocal Peer Tutoring Outside Class.

PubMed

Bailey, E G; Baek, D; Meiling, J; Morris, C; Nelson, N; Rice, N S; Rose, S; Stockdale, P

2018-06-01

Providing students with one-on-one interaction with instructors is a big challenge in large courses. One solution is to have students interact with their peers during class. Reciprocal peer tutoring (RPT) is a more involved interaction that requires peers to alternate the roles of "teacher" and "student." Theoretically, advantages for peer tutoring include the verbalization and questioning of information and the scaffolded exploration of material through social and cognitive interaction. Studies on RPT vary in their execution, but most require elaborate planning and take up valuable class time. We tested the effectiveness of a "teach and question" (TQ) assignment that required student pairs to engage in RPT regularly outside class. A quasi-experimental design was implemented: one section of a general biology course completed TQ assignments, while another section completed a substitute assignment requiring individuals to review course material. The TQ section outperformed the other section by ∼6% on exams. Session recordings were coded to investigate correlation between TQ quality and student performance. Asking more questions was the characteristic that best predicted exam performance, and this was more predictive than most aspects of the course. We propose the TQ as an easy assignment to implement with large performance gains.

The Relationship between Ethnic Classroom Composition and Turkish-Origin and German Students' Reading Performance and Sense of Belonging

PubMed Central

Mok, Sog Yee; Martiny, Sarah E.; Gleibs, Ilka H.; Keller, Melanie M.; Froehlich, Laura

2016-01-01

Past research on ethnic composition effects on migrant and ethnic majority students' performance has reported inconclusive results: Some studies have found no relationship between the proportion of migrant students in school and students' performance, some revealed positive effects, whereas others showed negative effects of the proportion of migrant students. Most of the studies did not consider whether an increase in the proportion of migrant students in the classroom has different effects on migrant and ethnic majority students' performance. For this reason, the present study (N = 9215) extends previous research by investigating the cross-level interaction effect of the proportion of Turkish-origin students in classrooms on Turkish-origin and German students' reading performance with data based on the German National Assessment Study 2008/2009 in the school subject German. In addition, we examined the cross-level interaction effect of Turkish-origin students' proportion on sense of belonging to school for Turkish-origin and German students, as sense of belonging has been shown to be an important predictor of well-being and integration. No cross-level interaction effect on performance emerged. Only a small negative main effect of the Turkish-origin students' proportion on all students' performance was found. As predicted, we showed a cross-level interaction on sense of belonging. Only Turkish-origin students' sense of belonging was positively related to the proportion of Turkish-origin students: The more Turkish-origin students there were in a classroom, the higher Turkish-origin students' sense of belonging. German students' sense of belonging was not related to the ethnic classroom composition. Implications of the results in the educational context are discussed. PMID:27471484

The Relationship between Ethnic Classroom Composition and Turkish-Origin and German Students' Reading Performance and Sense of Belonging.

PubMed

Mok, Sog Yee; Martiny, Sarah E; Gleibs, Ilka H; Keller, Melanie M; Froehlich, Laura

2016-01-01

Past research on ethnic composition effects on migrant and ethnic majority students' performance has reported inconclusive results: Some studies have found no relationship between the proportion of migrant students in school and students' performance, some revealed positive effects, whereas others showed negative effects of the proportion of migrant students. Most of the studies did not consider whether an increase in the proportion of migrant students in the classroom has different effects on migrant and ethnic majority students' performance. For this reason, the present study (N = 9215) extends previous research by investigating the cross-level interaction effect of the proportion of Turkish-origin students in classrooms on Turkish-origin and German students' reading performance with data based on the German National Assessment Study 2008/2009 in the school subject German. In addition, we examined the cross-level interaction effect of Turkish-origin students' proportion on sense of belonging to school for Turkish-origin and German students, as sense of belonging has been shown to be an important predictor of well-being and integration. No cross-level interaction effect on performance emerged. Only a small negative main effect of the Turkish-origin students' proportion on all students' performance was found. As predicted, we showed a cross-level interaction on sense of belonging. Only Turkish-origin students' sense of belonging was positively related to the proportion of Turkish-origin students: The more Turkish-origin students there were in a classroom, the higher Turkish-origin students' sense of belonging. German students' sense of belonging was not related to the ethnic classroom composition. Implications of the results in the educational context are discussed.

Critical-thinking ability in respiratory care students and its correlation with age, educational background, and performance on national board examinations.

PubMed

Wettstein, Richard B; Wilkins, Robert L; Gardner, Donna D; Restrepo, Ruben D

2011-03-01

Critical thinking is an important characteristic to develop in respiratory care students. We used the short-form Watson-Glaser Critical Thinking Appraisal instrument to measure critical-thinking ability in 55 senior respiratory care students in a baccalaureate respiratory care program. We calculated the Pearson correlation coefficient to assess the relationships between critical-thinking score, age, and student performance on the clinical-simulation component of the national respiratory care boards examination. We used chi-square analysis to assess the association between critical-thinking score and educational background. There was no significant relationship between critical-thinking score and age, or between critical-thinking score and student performance on the clinical-simulation component. There was a significant (P = .04) positive association between a strong science-course background and critical-thinking score, which might be useful in predicting a student's ability to perform in areas where critical thinking is of paramount importance, such as clinical competencies, and to guide candidate-selection for respiratory care programs.

Predicting Success in College: SAT® Studies of Classes Graduating since 1980. Research Report No. 2001-2

ERIC Educational Resources Information Center

Burton, Nancy W.; Ramist, Leonard

2001-01-01

Studies predicting success in college for students graduating since 1980 are reviewed. SAT scores and high school records are the most common predictors, but a few studies of other predictors are included. The review establishes that SAT scores and high school records predict academic performance, nonacademic accomplishments, leadership in…

An empirical study of the predictive validity of number grades in medical school using 3 decades of longitudinal data: implications for a grading system.

PubMed

Gonnella, Joseph S; Erdmann, James B; Hojat, Mohammadreza

2004-04-01

Context It is important to establish the predictive validity of medical school grades. The strength of predictive validity and the ability to identify at-risk students in medical schools depends upon assessment systems such as number grades, pass/fail (P/F) or honours/pass/fail (H/P/F) systems. Objective This study was designed to examine the predictive validity of number grades in medical school, and to determine whether any important information is lost in a shift from number to P/F and H/P/F grading systems. Subjects The participants in this prospective, longitudinal study were 6656 medical students who studied at Jefferson Medical College over 3 decades. They were grouped into 10 deciles based on their number grades in Year 1 of medical school. Methods Participants were compared on academic accomplishments in Years 2 and 3 of medical school, medical school class rank, delayed graduation and attrition, performance on medical licensing examinations and clinical competence ratings in the first postgraduate year. Results Results supported the short- and longterm predictive validity of the number grades. Ratings of clinical competence beyond medical school were predicted by number grades in medical school. We demonstrated that small differences in number grades are statistically meaningful, and that important information for identifying students in need of remedial education is lost when students who narrowly meet faculty's expectations are included with the rest of the class in a broad 'pass' category. Conclusions The findings refute the argument that knowledge of sciences basic to medicine is not critical to subsequent performance in medical school and beyond if an appropriate evaluation system is used. Furthermore, the results of this study raise questions about abandoning number grades in favour of a pass/fail system. Consideration of these findings in policy decisions regarding assessment systems of medical students is recommended.

Relationship between dean's letter rankings and later evaluations by residency program directors.

PubMed

Lurie, Stephen J; Lambert, David R; Grady-Weliky, Tana A

2007-01-01

It is not known how well dean's letter rankings predict later performance in residency. To assess the accuracy of dean's letter rankings to predict clinical performance in internship. Participants were medical students who graduated from the University of Rochester School of Medicine and Dentistry in the classes of 2003 and 2004. In their Dean's Letter, each student was ranked as either "Outstanding" (upper quartile), "Excellent" (second quartile), "Very good" (lower 2 quartiles), or "Good" (lowest few percentile). We compared these dean's letter rankings against results of questionnaires sent to program directors 9 months after graduation. Response rate to the questionnaire was 58.9% (109 of 185 eligible graduates). There were no differences in response rate across the four dean's letter ranking categories. Program directors rated students in the top two categories of dean's letter rankings significantly higher than those in the very good group. Students in all three groups were rated significantly higher than those in the good group, F (3, 105) = 13.37, p < .001. Students in the very good group were most variable in their ratings by program directors, with many receiving similarly high ratings as students in the upper 2 groups. There were no differences by gender or specialty. Dean's letter rankings are a significant predictor of later performance in internship among graduates of our medical school. Students in the bottom half of the class are most likely either to underperform or overperform in internship.

Procrastination, Flow, and Academic Performance in Real Time Using the Experience Sampling Method.

PubMed

Sumaya, Isabel C; Darling, Emily

2018-01-01

The authors' aim was to first provide an alternative methodology in the assessment of procrastination and flow that would not reply on retrospective or prospective self-reports. Using real-time assessment of both procrastination and flow, the authors investigated how these factors impact academic performance by using the Experience Sampling Method. They assessed flow by measuring student self-reported skill versus challenge, and procrastination by measuring the days to completion of an assignment. Procrastination and flow were measured for six days before a writing assignment due date while students (n = 14) were enrolled in a research methods course. Regardless of status of flow, both the nonflow and flow groups showed high levels of procrastination. Students who experienced flow as they worked on their paper, in real time, earned significantly higher grades (M = 3.05 ± 0.30: an average grade of B) as compared with the nonflow group (M = 1.16 ± 0.33: an average grade of D; p = .007). Additionally, students experiencing flow were more accurate in predicting their grade (difference scores, flow M = 0.12 ± 0.33 vs. nonflow M = 1.39 ± 0.29; p = .015). Students in the nonflow group were nearly a grade and a half off in their prediction of their grade on the paper. To the authors' knowledge, the study is the first to provide experimental evidence showing differences in academic performance between students experiencing flow and nonflow students.

Predictors of student performance on the Pharmacy Curriculum Outcomes Assessment at a new school of pharmacy using admissions and demographic data.

PubMed

Gillette, Chris; Rudolph, Michael; Rockich-Winston, Nicole; Blough, Eric R; Sizemore, James A; Hao, Jinsong; Booth, Chris; Broedel-Zaugg, Kimberly; Peterson, Megan; Anderson, Stephanie; Riley, Brittany; Train, Brian C; Stanton, Robert B; Anderson, H Glenn

To characterize student performance on the Pharmacy Curriculum Outcomes Assessment (PCOA) and to determine the significance of specific admissions criteria and pharmacy school performance to predict student performance on the PCOA during the first through third professional years. Multivariate linear regression models were developed to study the relationships between various independent variables and students' PCOA total scores during the first through third professional years. To date, four cohorts have successfully taken the PCOA examination. Results indicate that the Pharmacy College Admissions Test (PCAT), the Health Science Reasoning Test (HSRT), and cumulative pharmacy grade point average were the only consistent significant predictors of higher PCOA total scores across all students who have taken the exam at our school of pharmacy. The school should examine and clarify the role of PCOA within its curricular assessment program. Results suggest that certain admissions criteria and performance in pharmacy school are associated with higher PCOA scores. Copyright © 2016 Elsevier Inc. All rights reserved.

Predicting Academic Performance of Master's Students in Engineering Management

ERIC Educational Resources Information Center

Calisir, Fethi; Basak, Ecem; Comertoglu, Sevinc

2016-01-01

The purpose of this study is to investigate the factors affecting academic achievement of the master's students who are enrolling in the executive engineering management master's programs in Turkey. These factors include admission requirements (entrance examination, undergraduate grade point average, English proficiency) and demographic attributes…

Motivation and emotion predict medical students' attention to computer-based feedback.

PubMed

Naismith, Laura M; Lajoie, Susanne P

2017-12-14

Students cannot learn from feedback unless they pay attention to it. This study investigated relationships between the personal factors of achievement goal orientations, achievement emotions, and attention to feedback in BioWorld, a computer environment for learning clinical reasoning. Novice medical students (N = 28) completed questionnaires to measure their achievement goal orientations and then thought aloud while solving three endocrinology patient cases and reviewing corresponding expert solutions. Questionnaires administered after each case measured participants' experiences of five feedback emotions: pride, relief, joy, shame, and anger. Attention to individual text segments of the expert solutions was modelled using logistic regression and the method of generalized estimating equations. Participants did not attend to all of the feedback that was available to them. Performance-avoidance goals and shame positively predicted attention to feedback, and performance-approach goals and relief negatively predicted attention to feedback. Aspects of how the feedback was displayed also influenced participants' attention. Findings are discussed in terms of their implications for educational theory as well as the design and use of computer learning environments in medical education.

Predicting performance of junior doctors: Association of workplace based assessment with demographic characteristics, emotional intelligence, selection scores, and undergraduate academic performance.

PubMed

Carr, Sandra E; Celenza, Antonio; Mercer, Annette M; Lake, Fiona; Puddey, Ian B

2018-01-21

Predicting workplace performance of junior doctors from before entry or during medical school is difficult and has limited available evidence. This study explored the association between selected predictor variables and workplace based performance in junior doctors during their first postgraduate year. Two cohorts of medical students (n = 200) from one university in Western Australia participated in the longitudinal study. Pearson correlation coefficients and multivariate analyses utilizing linear regression were used to assess the relationships between performance on the Junior Doctor Assessment Tool (JDAT) and its sub-components with demographic characteristics, selection scores for medical school entry, emotional intelligence, and undergraduate academic performance. Grade Point Average (GPA) at the completion of undergraduate studies had the most significant association with better performance on the overall JDAT and each subscale. Increased age was a negative predictor for junior doctor performance on the Clinical management subscale and understanding emotion was a predictor for the JDAT Communication subscale. Secondary school performance measured by Tertiary Entry Rank on entry to medical school score predicted GPA but not junior doctor performance. The GPA as a composite measure of ability and performance in medical school is associated with junior doctor assessment scores. Using this variable to identify students at risk of difficulty could assist planning for appropriate supervision, support, and training for medical graduates transitioning to the workplace.

An Investigation into How Measures of Student Teacher Performance that Indicate Developmentally Informed Practice Are Related to a Measure of Overall Student Teaching Proficiency at a Private Northwest Comprehensive University

ERIC Educational Resources Information Center

Buchanan, Thomas D.

2011-01-01

Indicators of the proficiency of teacher candidates at applying knowledge of child development to teaching and learning were examined to see if they predict the overall success of the candidates full-time student teaching. The assessment instrument, the Full-Time Student Teaching Summary Report (FSTSR), was found statistically reliable and…

Use of a pretest strategy for physical therapist assistant programs to predict success rate on the national physical therapy exam.

PubMed

Sloas, Stacey B; Keith, Becky; Whitehead, Malcolm T

2013-01-01

This study investigated a pretest strategy that identified physical therapist assistant (PTA) students who were at risk of failure on the National Physical Therapy Examination (NPTE). Program assessment data from five cohorts of PTA students (2005-2009) were used to develop a stepwise multiple regression formula that predicted first-time NPTE licensure scores. Data used included the Nelson-Denny Reading Test, grades from eight core courses, grade point average upon admission to the program, and scores from three mock NPTE exams given during the program. Pearson correlation coefficients were calculated between each of the 15 variables and NPTE scores. Stepwise multiple regression analysis was performed using data collected at the ends of the first, second, and third (final) semesters of the program. Data from the class of 2010 were then used to validate the formula. The end-of-program formula accounted for the greatest variance (57%) in predicted scores. Those students scoring below a predicted scaled score of 620 were identified to be at risk of failure of the licensure exam. These students were counseled, and a remedial plan was developed based on regression predictions prior to them sitting for the licensure exam.

Comparing statistical and machine learning classifiers: alternatives for predictive modeling in human factors research.

PubMed

Carnahan, Brian; Meyer, Gérard; Kuntz, Lois-Ann

2003-01-01

Multivariate classification models play an increasingly important role in human factors research. In the past, these models have been based primarily on discriminant analysis and logistic regression. Models developed from machine learning research offer the human factors professional a viable alternative to these traditional statistical classification methods. To illustrate this point, two machine learning approaches--genetic programming and decision tree induction--were used to construct classification models designed to predict whether or not a student truck driver would pass his or her commercial driver license (CDL) examination. The models were developed and validated using the curriculum scores and CDL exam performances of 37 student truck drivers who had completed a 320-hr driver training course. Results indicated that the machine learning classification models were superior to discriminant analysis and logistic regression in terms of predictive accuracy. Actual or potential applications of this research include the creation of models that more accurately predict human performance outcomes.

Student Engagement with a Flipped Classroom Teaching Design Affects Pharmacology Examination Performance in a Manner Dependent on Question Type.

PubMed

White, Paul J; Naidu, Som; Yuriev, Elizabeth; Short, Jennifer L; McLaughlin, Jacqueline E; Larson, Ian C

2017-11-01

Objective: To investigate the relationship between student engagement with the key elements of a flipped classroom approach (preparation and attendance), their attitudes to learning, including strategy development, and their performance on two types of examination questions (knowledge recall and providing rational predictions when faced with novel scenarios). Methods. This study correlated student engagement with the flipped classroom and student disposition to learning with student ability to solve novel scenarios in examinations. Results. Students who both prepared for and attended classes performed significantly better on examination questions that required analysis of novel scenarios compared to students who did not prepare and missed classes. However, there was no difference for both groups of students on examination questions that required knowledge and comprehension. Student motivation and use of strategies correlated with higher examination scores on questions requiring novel scenario analysis. Conclusion. There is a synergistic relationship between class preparation and attendance. The combination of preparation and attendance was positively correlated to assessment type; the relationship was apparent for questions requiring students to solve novel problems but not for questions requiring knowledge or comprehension.

Predicting performance in a first engineering calculus course: implications for interventions

NASA Astrophysics Data System (ADS)

Hieb, Jeffrey L.; Lyle, Keith B.; Ralston, Patricia A. S.; Chariker, Julia

2015-01-01

At the University of Louisville, a large, urban institution in the south-east United States, undergraduate engineering students take their mathematics courses from the school of engineering. In the fall of their freshman year, engineering students take Engineering Analysis I, a calculus-based engineering analysis course. After the first two weeks of the semester, many students end up leaving Engineering Analysis I and moving to a mathematics intervention course. In an effort to retain more students in Engineering Analysis I, the department collaborated with university academic support services to create a summer intervention programme. Students were targeted for the summer programme based on their score on an algebra readiness exam (ARE). In a previous study, the ARE scores were found to be a significant predictor of retention and performance in Engineering Analysis I. This study continues that work, analysing data from students who entered the engineering school in the fall of 2012. The predictive validity of the ARE was verified, and a hierarchical linear regression model was created using math American College Testing (ACT) scores, ARE scores, summer intervention participation, and several metacognitive and motivational factors as measured by subscales of the Motivated Strategies for Learning Questionnaire. In the regression model, ARE score explained an additional 5.1% of the variation in exam performance in Engineering Analysis I beyond math ACT score. Students took the ARE before and after the summer interventions and scores were significantly higher following the intervention. However, intervention participants nonetheless had lower exam scores in Engineering Analysis I. The following factors related to motivation and learning strategies were found to significantly predict exam scores in Engineering Analysis I: time and study environment management, internal goal orientation, and test anxiety. The adjusted R2 for the full model was 0.42, meaning that the model could explain 42% of the variation in Engineering Analysis I exam scores.

Examining the relationships between attention deficit/hyperactivity disorder and developmental coordination disorder symptoms, and writing performance in Japanese second grade students.

PubMed

Noda, Wataru; Ito, Hiroyuki; Fujita, Chikako; Ohnishi, Masafumi; Takayanagi, Nobuya; Someki, Fumio; Nakajima, Syunji; Ohtake, Satoko; Mochizuki, Naoto; Tsujii, Masatsugu

2013-09-01

The purpose of this study was to explore the relationships between attention deficit/hyperactivity disorder and developmental coordination disorder symptoms and writing performance in Japanese second grade students from regular classrooms. The second grade students (N=873) in Japanese public elementary schools participated in this study. We examined a variety of writing tasks, such as tracing, copying, handwriting (Hiragana and Katakana), and spelling (Hiragana, Katakana, and Kanji). We employed the Japanese version of the home form ADHD-rating scale (ADHD-RS) and the Japanese version of the Developmental Coordination Disorder Questionnaire (DCDQ-J) to assess the developmental characteristics of the participating children. Seven writing performance scores were submitted to a principal component analysis with a promax rotation, which yielded three composite scores (Spelling Accuracy, Tracing and Copying Accuracy, and Handwriting Fluency). A multiple regression analysis found that inattention predicted Spelling Accuracy and Handwriting Fluency and that hyperactive-impulsive predicted Handwriting Fluency. In addition, fine motor ability predicted Tracing and Copying Accuracy. The current study offered empirical evidence suggesting that developmental characteristics such as inattention and fine motor skill are related to writing difficulties in Japanese typical developing children. Copyright © 2013 Elsevier Ltd. All rights reserved.

Performance of Cooperative Learning Groups in a Postgraduate Education Research Methodology Course: The Role of Social Interdependence

ERIC Educational Resources Information Center

Onwuegbuzie, Anthony J.; Collins, Kathleen M. T.; Jiao, Qun G.

2009-01-01

This study investigated the degree that social interdependence predicted the achievement of 26 cooperative learning groups. Social interdependence was assessed in terms of postgraduate students' individual orientation (that is, cooperative, competitive, and individualistic). Participants were 84 postgraduate students enrolled in an…

Predicting Performance in a First Engineering Calculus Course: Implications for Interventions

ERIC Educational Resources Information Center

Hieb, Jeffrey L.; Lyle, Keith B.; Ralston, Patricia A. S.; Chariker, Julia

2015-01-01

At the University of Louisville, a large, urban institution in the south-east United States, undergraduate engineering students take their mathematics courses from the school of engineering. In the fall of their freshman year, engineering students take "Engineering Analysis I," a calculus-based engineering analysis course. After the…

Improving General Chemistry Course Performance through Online Homework-Based Metacognitive Training

ERIC Educational Resources Information Center

Casselman, Brock L.; Atwood, Charles H.

2017-01-01

In a first-semester general chemistry course, metacognitive training was implemented as part of an online homework system. Students completed weekly quizzes and multiple practice tests to regularly assess their abilities on the chemistry principles. Before taking these assessments, students predicted their score, receiving feedback after…

Graduate Student Project: Operations Management Product Plan

ERIC Educational Resources Information Center

Fish, Lynn

2007-01-01

An operations management product project is an effective instructional technique that fills a void in current operations management literature in product planning. More than 94.1% of 286 graduates favored the project as a learning tool, and results demonstrate the significant impact the project had in predicting student performance. The author…

Investigating Academic Success Factors for Undergraduate Business Students

ERIC Educational Resources Information Center

Kaighobadi, Mehdi; Allen, Marcus T.

2008-01-01

Student academic performance is of major interest to all stakeholders of higher education institutions. This study questions whether or not statistical analysis of information that is readily available in most universities' official records system can be used to predict overall academic success. In particular, this study is an attempt to…

A Review of Predictive Factors of Student Success in and Satisfaction with Online Learning

ERIC Educational Resources Information Center

Kauffman, Heather

2015-01-01

Students perceive online courses differently than traditional courses. Negative perceptions can lead to unfavourable learning outcomes including decreased motivation and persistence. Throughout this review, a broad range of factors that affect performance and satisfaction within the online learning environment for adult learners will be examined…

Discrimination-Aware Classifiers for Student Performance Prediction

ERIC Educational Resources Information Center

Luo, Ling; Koprinska, Irena; Liu, Wei

2015-01-01

In this paper we consider discrimination-aware classification of educational data. Mining and using rules that distinguish groups of students based on sensitive attributes such as gender and nationality may lead to discrimination. It is desirable to keep the sensitive attributes during the training of a classifier to avoid information loss but…

Being smart or getting smarter: Implicit theory of intelligence moderates stereotype threat and stereotype lift effects.

PubMed

Froehlich, Laura; Martiny, Sarah E; Deaux, Kay; Goetz, Thomas; Mok, Sog Yee

2016-09-01

This research explores implicit theory of intelligence (TOI) as a moderator of stereotype activation effects on test performance for members of negatively stereotyped and of favourably stereotyped groups. In Germany, Turkish-origin migrants are stereotyped as low in verbal ability. We predicted that on a test diagnostic of verbal intelligence, endorsement of an entity TOI predicts stereotype threat effects for Turkish-origin students and stereotype lift effects for German students. This effect could account for some of the performance gap between immigrants and host society members after stereotype activation. Study 1 (N = 107) established structural equivalence of implicit theories across the ethnic groups. In two experimental studies (Study 2: N = 182, Study 3: N = 190), we tested the moderating effect of TOI in a 2 (stereotype activation: diagnostic vs. non-diagnostic test) × 2 (ethnicity: German vs. Turkish migration background) experimental design. The results showed that when the test was described as diagnostic of verbal intelligence, higher entity theory endorsement predicted stereotype threat effects for Turkish-origin students (Study 2 and Study 3) and stereotype lift effects for German students (Study 3). The results are discussed in terms of practical implications for educational settings and theoretical implications for processes underlying stereotype activation effects. © 2016 The British Psychological Society.

What's in a Teacher Test? Assessing the Relationship between Teacher Test Scores and Student Secondary STEM Achievement. CEDR Working Paper. WP #2016-4

ERIC Educational Resources Information Center

Goldhaber, Dan; Gratz, Trevor; Theobald, Roddy

2016-01-01

We investigate the predictive validity of teacher credential test scores for student performance in secondary STEM classrooms in Washington state. After replicating earlier findings that teacher basic skills licensure test scores are a modest and statistically significant predictor of student math test score gains in elementary grades, we focus on…

Exploring students' perceptions and performance on predict-observe-explain tasks in high school chemistry laboratory

NASA Astrophysics Data System (ADS)

Vadapally, Praveen

This study sought to understand the impact of gender and reasoning level on students' perceptions and performances of Predict-Observe-Explain (POE) laboratory tasks in a high school chemistry laboratory. Several literature reviews have reported that students at all levels have not developed the specific knowledge and skills that were expected from their laboratory work. Studies conducted over the last several decades have found that boys tend to be more successful than girls in science and mathematics courses. However, some recent studies have suggested that girls may be reducing this gender gap. This gender difference is the focal point of this research study, which was conducted at a mid-western, rural high school. The participants were 24 boys and 25 girls enrolled in two physical science classes taught by the same teacher. In this mixed methods study, qualitative and quantitative methods were implemented simultaneously over the entire period of the study. MANOVA statistics revealed significant effects due to gender and level of reasoning on the outcome variables, which were POE performances and perceptions of the chemistry laboratory environment. There were no significant interactions between these effects. For the qualitative method, IRB-approved information was collected, coded, grouped, and analyzed. This method was used to derive themes from students' responses on questionnaires and semi-structured interviews. Students with different levels of reasoning and gender were interviewed, and many of them expressed positive themes, which was a clear indication that they had enjoyed participating in the POE learning tasks and they had developed positive perceptions towards POE inquiry laboratory learning environment. When students are capable of formal reasoning, they can use an abstract scientific concept effectively and then relate it to the ideas they generate in their minds. Thus, instructors should factor the nature of students' thinking abilities into their instructional strategies and strive to create a learning environment where students are engaged in thinking, learning, and acting in meaningful and beneficial ways. POE learning tasks enhance students' laboratory experiences and can help deepen their understanding of the empirical nature of science. Key words: predict observe explain, gender, science laboratory inquiry, reasoning ability, social constructivism, mixed methods.

Language-related values, reading amount, and reading comprehension in students with migration backgrounds.

PubMed

El-Khechen, Wahiba; Ferdinand, Hanna D; Steinmayr, Ricarda; McElvany, Nele

2016-06-01

Although various studies on general language performance have investigated determinants of students' reading comprehension (e.g., reading amount), they have paid insufficient attention to how students perceive parental values influence their language-related values and behaviour - and, as a consequence, their performance. This is particularly the case for bilingual students with a migration background. The present study aims to examine the impact of how students perceive parental values regarding German (attainment, utility, and cost), students' (utility) value of German/Turkish, and students' reading amount in German/Turkish on German reading comprehension. A total of 118 Grade 4 students in Germany with Turkish as their family language. Reading comprehension was measured with a 15-item standardized test. Whereas students' reading amount (German/Turkish) was assessed through students' self-reports on three questions, students' utility value (German/Turkish) and perceived parental values regarding German (attainment, utility, and cost) were each measured with two items. Results of path modelling supported the hypotheses that students' utility value regarding German and their reading amount in German would positively predict their German reading comprehension, whereas their utility value regarding Turkish and their reading amount in Turkish would negatively predict their German reading comprehension. Data also confirmed a direct effect of the negatively perceived parental cost value of German on German reading comprehension. The new evidence is of practical relevance for teachers, educational scientists, and psychologists who are striving to improve the educational outcomes of bilingual students. Further research needs and the significance of the results for educational practice and home environment are discussed. © 2015 The British Psychological Society.

Success in everyday physics: The role of personality and academic variables

NASA Astrophysics Data System (ADS)

Norvilitis, Jill M.; Reid, Howard M.; Norvilitis, Bret M.

2002-05-01

Two studies examined students' intuitive physics ability and characteristics associated with physics competence. In Study 1, although many students did well on a physics quiz, more than 25% of students performed below levels predicted by chance. Better performance on the physics quiz was related to physics grades, highest level of math taken, and students' perceived scholastic competence, but was not related to a number of other hypothesized personality variables. Study 2 further explored personality and academic variables and also examined students' awareness of their own physics ability. Results indicate that the personality variables were again unrelated to ability, but narcissism may be related to subjects' estimates of knowledge. Also, academic variables and how important students think it is to understand the physical world are related to both measured and estimated physics proficiency.

The Comprehensive, Powerful, Academic Database (CPAD): An Evaluative Study of a Predictive Tool Designed for Elementary School Personnel in Identifying At-Risk Students through Progress, Curriculum, and Performance Monitoring

ERIC Educational Resources Information Center

Chavez-Gibson, Sarah

2013-01-01

The purpose of this study is to exam in-depth, the Comprehensive, Powerful, Academic Database (CPAD), a data decision-making tool that determines and identifies students at-risk of dropping out of school, and how the CPAD assists administrators and teachers at an elementary campus to monitor progress, curriculum, and performance to improve student…

Pasta Predation.

ERIC Educational Resources Information Center

Waugh, Michael L.

1986-01-01

Presents a predator-prey simulation which involves students in collecting data, solving problems, and making predictions on the evolution of prey populations. Provides directives on how to perform the chi-square test and also includes an Applesoft BASK program that performs the calculations. (ML)

Enrollment Management in Medical School Admissions: A Novel Evidence-Based Approach at One Institution.

PubMed

Burkhardt, John C; DesJardins, Stephen L; Teener, Carol A; Gay, Steven E; Santen, Sally A

2016-11-01

In higher education, enrollment management has been developed to accurately predict the likelihood of enrollment of admitted students. This allows evidence to dictate numbers of interviews scheduled, offers of admission, and financial aid package distribution. The applicability of enrollment management techniques for use in medical education was tested through creation of a predictive enrollment model at the University of Michigan Medical School (U-M). U-M and American Medical College Application Service data (2006-2014) were combined to create a database including applicant demographics, academic application scores, institutional financial aid offer, and choice of school attended. Binomial logistic regression and multinomial logistic regression models were estimated in order to study factors related to enrollment at the local institution versus elsewhere and to groupings of competing peer institutions. A predictive analytic "dashboard" was created for practical use. Both models were significant at P < .001 and had similar predictive performance. In the binomial model female, underrepresented minority students, grade point average, Medical College Admission Test score, admissions committee desirability score, and most individual financial aid offers were significant (P < .05). The significant covariates were similar in the multinomial model (excluding female) and provided separate likelihoods of students enrolling at different institutional types. An enrollment-management-based approach would allow medical schools to better manage the number of students they admit and target recruitment efforts to improve their likelihood of success. It also performs a key institutional research function for understanding failed recruitment of highly desirable candidates.

Using General Outcome Measures to Predict Student Performance on State-Mandated Assessments: An Applied Approach for Establishing Predictive Cutscores

ERIC Educational Resources Information Center

Leblanc, Michael; Dufore, Emily; McDougal, James

2012-01-01

Cutscores for reading and math (general outcome measures) to predict passage on New York state-mandated assessments were created by using a freely available Excel workbook. The authors used linear regression to create the cutscores and diagnostic indicators were provided. A rationale and procedure for using this method is outlined. This method…

Testing a Multi-Stage Screening System: Predicting Performance on Australia's National Achievement Test Using Teachers' Ratings of Academic and Social Behaviors

ERIC Educational Resources Information Center

Kettler, Ryan J.; Elliott, Stephen N.; Davies, Michael; Griffin, Patrick

2012-01-01

This study addresses the predictive validity of results from a screening system of academic enablers, with a sample of Australian elementary school students, when the criterion variable is end-of-year achievement. The investigation included (a) comparing the predictive validity of a brief criterion-referenced nomination system with more…

Identification of cognitive and non-cognitive predictive variables related to attrition in baccalaureate nursing education programs in Mississippi

NASA Astrophysics Data System (ADS)

Hayes, Catherine

2005-07-01

This study sought to identify a variable or variables predictive of attrition among baccalaureate nursing students. The study was quantitative in design and multivariate correlational statistics and discriminant statistical analysis were used to identify a model for prediction of attrition. The analysis then weighted variables according to their predictive value to determine the most parsimonious model with the greatest predictive value. Three public university nursing education programs in Mississippi offering a Bachelors Degree in Nursing were selected for the study. The population consisted of students accepted and enrolled in these three programs for the years 2001 and 2002 and graduating in the years 2003 and 2004 (N = 195). The categorical dependent variable was attrition (includes academic failure or withdrawal) from the program of nursing education. The ten independent variables selected for the study and considered to have possible predictive value were: Grade Point Average for Pre-requisite Course Work; ACT Composite Score, ACT Reading Subscore, and ACT Mathematics Subscore; Letter Grades in the Courses: Anatomy & Physiology and Lab I, Algebra I, English I (101), Chemistry & Lab I, and Microbiology & Lab I; and Number of Institutions Attended (Universities, Colleges, Junior Colleges or Community Colleges). Descriptive analysis was performed and the means of each of the ten independent variables was compared for students who attrited and those who were retained in the population. The discriminant statistical analysis performed created a matrix using the ten variable model that was able to correctly predicted attrition in the study's population in 77.6% of the cases. Variables were then combined and recombined to produce the most efficient and parsimonious model for prediction. A six variable model resulted which weighted each variable according to predictive value: GPA for Prerequisite Coursework, ACT Composite, English I, Chemistry & Lab I, Microbiology & Lab I, and Number of Institutions Attended. Results of the study indicate that it is possible to predict attrition among students enrolled in baccalaureate nursing education programs and that additional investigation on the subject is warranted.

Academic motivation, self-concept, engagement, and performance in high school: key processes from a longitudinal perspective.

PubMed

Green, Jasmine; Liem, Gregory Arief D; Martin, Andrew J; Colmar, Susan; Marsh, Herbert W; McInerney, Dennis

2012-10-01

The study tested three theoretically/conceptually hypothesized longitudinal models of academic processes leading to academic performance. Based on a longitudinal sample of 1866 high-school students across two consecutive years of high school (Time 1 and Time 2), the model with the most superior heuristic value demonstrated: (a) academic motivation and self-concept positively predicted attitudes toward school; (b) attitudes toward school positively predicted class participation and homework completion and negatively predicted absenteeism; and (c) class participation and homework completion positively predicted test performance whilst absenteeism negatively predicted test performance. Taken together, these findings provide support for the relevance of the self-system model and, particularly, the importance of examining the dynamic relationships amongst engagement factors of the model. The study highlights implications for educational and psychological theory, measurement, and intervention. Copyright © 2012 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

Predicting Development of Mathematical Word Problem Solving Across the Intermediate Grades

PubMed Central

Tolar, Tammy D.; Fuchs, Lynn; Cirino, Paul T.; Fuchs, Douglas; Hamlett, Carol L.; Fletcher, Jack M.

2012-01-01

This study addressed predictors of the development of word problem solving (WPS) across the intermediate grades. At beginning of 3rd grade, 4 cohorts of students (N = 261) were measured on computation, language, nonverbal reasoning skills, and attentive behavior and were assessed 4 times from beginning of 3rd through end of 5th grade on 2 measures of WPS at low and high levels of complexity. Language skills were related to initial performance at both levels of complexity and did not predict growth at either level. Computational skills had an effect on initial performance in low- but not high-complexity problems and did not predict growth at either level of complexity. Attentive behavior did not predict initial performance but did predict growth in low-complexity, whereas it predicted initial performance but not growth for high-complexity problems. Nonverbal reasoning predicted initial performance and growth for low-complexity WPS, but only growth for high-complexity WPS. This evidence suggests that although mathematical structure is fixed, different cognitive resources may act as limiting factors in WPS development when the WPS context is varied. PMID:23325985

Attendance and achievement in medicine: investigating the impact of attendance policies on academic performance of medical students.

PubMed

Subramaniam, Bs; Hande, S; Komattil, R

2013-04-01

The attendance mandate for the medical course in Melaka Manipal Medical College, Manipal, India was increased from 75% to 90% based on the assumption that the mandatory increase will improve the students' performance. To find out whether there is any correlation between class attendance and academic performance. This was an institution based retrospective analytical study. Students who have completed Phase I (first two and a half years) of the MBBS course were included in the study. Student marks and attendance, from the database were obtained from three random batches, each, from two clusters A and B respectively. Those who had a mandatory attendance requirement of 75% belonged to A (n = 243), and those who had a mandatory attendance percentage of 90% belonged to B (n = 360). Statistical analyses performed included, Pearson 2 tailed correlation to correlate class attendance with student performance; Cluster analysis to classify group average in a similarity matrix; t-test to determine significance of difference in percentage of students who attained 100% when the college changed mandatory attendance from 75% to 90%; Mann-Whitney test to find out if there was a better performance in university exam when attendance policy changed. There was a significant correlation between attendance and the students who passed in the University exam. The number of students in the pass category was maximum (>90%) compared to students in distinction and failed categories. Percentage of students with 100% attendance rose from 4% (n = 10) to 11% (n = 40) when the mandatory attendance was increased from 75% to 90%. Attendance policy correlated with better academic performance. Reducing absenteeism, probably contributed to the improved academic performance of the students. But the link between attendance and best and worst performances could not be predicted because of small numbers in every batch.

Effects of Strategy Training and Incentives on Students' Performance, Confidence, and Calibration

ERIC Educational Resources Information Center

Gutierrez, Antonio P.; Schraw, Gregory

2015-01-01

This study examined the effect of strategy instruction and incentives on performance, confidence, and calibration accuracy. Individuals (N = 107) in randomly assigned treatment groups received a multicomponent strategy instruction intervention, financial incentives for high performance, or both. The authors predicted that incentives would improve…

The Gender Difference: Validity of Standardized Admission Tests in Predicting MBA Performance.

ERIC Educational Resources Information Center

Hancock, Terence

1999-01-01

Of 120 female and 149 male master of business administration (MBA) students, women performed significantly less well on the Graduate Management Admission Test (GMAT). There were no differences in overall MBA grade point average, indicating no strong correlation between the GMAT and MBA performance. (SK)

Wire-bending test as a predictor of preclinical performance by dental students.

PubMed

Kao, E C; Ngan, P W; Wilson, S; Kunovich, R

1990-10-01

Traditional Dental Aptitude Test and academic grade point average have been shown to be poor predictors of clinical performance by dental students. To refine predictors of psychomotor skills, a wire-bending test was given to 105 freshmen at the beginning of their dental education. Grades from seven restorative preclinical courses in their freshman and sophomore years were compared to scores on wire bending and the three traditional predictors: GPA, academic aptitude, and perceptual aptitude scores. Wire-bending scores correlated significantly with six out of seven preclinical restorative courses. The predictive power for preclinical performance was doubled when wire bending was added to traditional predictors in stepwise multiple regression analysis. Wire-bending scores identified students of low performance. These preliminary results suggest that the wire-bending test shows some potential as a screening test for identifying students who may hae psychomotor difficulties, early in their dental education.

Personal Self-Regulation and Regulatory Teaching to Predict Performance and Academic Confidence: New Evidence for the DEDEPRO Model™

ERIC Educational Resources Information Center

de la Fuente, Jesús; Justicia, Fernando; Sander, Paul; Cardelle-Elawar, Maria

2014-01-01

Introduction: The 3P and DEDEPRO Models predict interactive relationships among "presage," "process," and "product" variables through teaching and learning of self-regulation. The DEDEPRO Model has established different possibilities for interaction between student characteristics of self-regulation and external…

Correlates of Inquiry Learning in Science: Constructing Concepts of Density and Buoyancy.

ERIC Educational Resources Information Center

Mastropieri, Margo A.; Scruggs, Thomas E.; Boon, Richard; Carter, Karen Butcher

2001-01-01

A study involving 75 elementary students, 51 with high-incidence disabilities, investigated variables associated with learning in an inquiry-oriented approach to the study of density and buoyancy. Preconceptions, scientific predictions, and academic achievement measures were not predictive of task performance. However, grade level and IQ were…

Learning Management System with Prediction Model and Course-Content Recommendation Module

ERIC Educational Resources Information Center

Evale, Digna S.

2017-01-01

Aim/Purpose: This study is an attempt to enhance the existing learning management systems today through the integration of technology, particularly with educational data mining and recommendation systems. Background: It utilized five-year historical data to find patterns for predicting student performance in Java Programming to generate…

Cognitive load, emotion, and performance in high-fidelity simulation among beginning nursing students: a pilot study.

PubMed

Schlairet, Maura C; Schlairet, Timothy James; Sauls, Denise H; Bellflowers, Lois

2015-03-01

Establishing the impact of the high-fidelity simulation environment on student performance, as well as identifying factors that could predict learning, would refine simulation outcome expectations among educators. The purpose of this quasi-experimental pilot study was to explore the impact of simulation on emotion and cognitive load among beginning nursing students. Forty baccalaureate nursing students participated in teaching simulations, rated their emotional state and cognitive load, and completed evaluation simulations. Two principal components of emotion were identified representing the pleasant activation and pleasant deactivation components of affect. Mean rating of cognitive load following simulation was high. Linear regression identiffed slight but statistically nonsignificant positive associations between principal components of emotion and cognitive load. Logistic regression identified a negative but statistically nonsignificant effect of cognitive load on assessment performance. Among lower ability students, a more pronounced effect of cognitive load on assessment performance was observed; this also was statistically non-significant. Copyright 2015, SLACK Incorporated.

Evidence of the preferential use of disease prototypes over case exemplars among early year one medical students prior to and following diagnostic training.

PubMed

Papa, Frank J; Li, Feiming

2015-12-01

Two core dual processing theory (DPT) System I constructs (Exemplars and Prototypes) were used to: 1) formulate a training exercise designed to improve diagnostic performance in year one medical students, and 2) explore whether any observed performance improvements were associated with preferential use of exemplars or prototypes. With IRB approval, 117 year one medical students participated in an acute chest pain diagnostic training exercise. A pre- and post-training test containing the same 27 case vignettes was used to determine if the subjects' diagnostic performance improved via training in both exemplars and prototypes. Exemplar and Prototype theory was also used to generate a unique typicality estimate for each case vignette. Because these estimates produce different performance predictions, differences in the subjects' observed performance would make it possible to infer whether subjects were preferentially using Exemplars or Prototypes. Pre- vs. post-training comparison revealed a significant performance improvement; t=14.04, p<0.001, Cohen's d=1.32. Pre-training, paired t-testing demonstrated that performance against the most typical vignettes>mid typical vignettes: t=4.94, p<0.001; and mid typical>least typical: t=5.16, p<0.001. Post-training, paired t-testing again demonstrated that performance against the most typical vignettes>mid typical: t=2.94, p<0.01; and mid typical>least typical: t=6.64, p<0.001. These findings are more consistent with the performance predictions generated via Prototype theory than Exemplar theory. DPT is useful in designing and evaluating the utility of new approaches to diagnostic training, and, investigating the cognitive factors driving diagnostic capabilities among early medical students.

The Effect of Executive Function on Science Achievement Among Normally Developing 10-Year Olds

NASA Astrophysics Data System (ADS)

Lederman, Sheri G.

Executive function (EF) is an umbrella term used to identify a set of discrete but interrelated cognitive abilities that enable individuals to engage in goal-directed, future-oriented action in response to a novel context. Developmental studies indicate that EF is predictive of reading and math achievement in middle childhood. The purpose of this study was to identify the association between EF and science achievement among normally developing 10 year olds. A sample of fifth grade students from a Northeastern suburban community participated in tests of EF, science, and intelligence. Consistent with adult models of EF, principal components analysis identified a three-factor model of EF organization in middle childhood, including cognitive flexibility, working memory, and inhibition. Multiple regression analyses revealed that executive function processes of cognitive flexibility, working memory, and inhibition were all predictive of science performance. Post hoc analyses revealed that high-performing science students differed significantly from low-performing students in both cognitive flexibility and working memory. These findings suggest that complex academic demands specific to science achievement rely on the emergence and maturation of EF components.

Does the Value of Dynamic Assessment in Predicting End-of-First-Grade Mathematics Performance Differ as a Function of English Language Proficiency?

ERIC Educational Resources Information Center

Seethaler, Pamela M.; Fuchs, Lynn S.; Fuchs, Douglas; Compton, Donald L.

2016-01-01

The purpose of this study was to assess the added value of dynamic assessment (DA) beyond more conventional static measures for predicting individual differences in year-end 1st-grade calculation (CA) and word-problem (WP) performance, as a function of limited English proficiency (LEP) status. At the start of 1st grade, students (129 LEP; 163…

Measuring Academic Progress of Students with Learning Difficulties: A Comparison of the Semi-Logarithmic Chart and Equal Interval Graph Paper.

ERIC Educational Resources Information Center

Marston, Doug; Deno, Stanley L.

The accuracy of predictions of future student performance on the basis of graphing data on semi-logarithmic charts and equal interval graphs was examined. All 83 low-achieving students in grades 3 to 6 read randomly-selected lists of words from the Harris-Jacobson Word List for 1 minute. The number of words read correctly and words read…

Achievement Emotions and Academic Performance: Longitudinal Models of Reciprocal Effects.

PubMed

Pekrun, Reinhard; Lichtenfeld, Stephanie; Marsh, Herbert W; Murayama, Kou; Goetz, Thomas

2017-09-01

A reciprocal effects model linking emotion and achievement over time is proposed. The model was tested using five annual waves of the Project for the Analysis of Learning and Achievement in Mathematics (PALMA) longitudinal study, which investigated adolescents' development in mathematics (Grades 5-9; N = 3,425 German students; mean starting age = 11.7 years; representative sample). Structural equation modeling showed that positive emotions (enjoyment, pride) positively predicted subsequent achievement (math end-of-the-year grades and test scores), and that achievement positively predicted these emotions, controlling for students' gender, intelligence, and family socioeconomic status. Negative emotions (anger, anxiety, shame, boredom, hopelessness) negatively predicted achievement, and achievement negatively predicted these emotions. The findings were robust across waves, achievement indicators, and school tracks, highlighting the importance of emotions for students' achievement and of achievement for the development of emotions. © 2017 The Authors. Child Development © 2017 Society for Research in Child Development, Inc.

Use of Admission Criteria to Predict Performance of Students in an Entry-Level Master's Program on Fieldwork Placements and in Academic Courses.

PubMed

Kirchner, G L; Stone, R G; Holm, M B

2001-01-01

The relationships among clinical outcomes, academic success, and predictors used to screen applicants for entrance into a Master in Occupational Therapy Program (MOT) were examined. The dependent variables were grade point average in occupational therapy courses (OT-GPA), client therapy outcomes at the clinic, and ratings of MOT students by Level II Fieldwork supervisors. Predictor variables included undergraduate GPA, scores on the Graduate Record Examination (GRE), and an essay. Both undergraduate GPA and scores on the GRE were found to predict OT-GPA. The analytical section of the GRE was also positively correlated with fieldwork supervisors' ratings of students.

Data-driven system to predict academic grades and dropout.

PubMed

Rovira, Sergi; Puertas, Eloi; Igual, Laura

2017-01-01

Nowadays, the role of a tutor is more important than ever to prevent students dropout and improve their academic performance. This work proposes a data-driven system to extract relevant information hidden in the student academic data and, thus, help tutors to offer their pupils a more proactive personal guidance. In particular, our system, based on machine learning techniques, makes predictions of dropout intention and courses grades of students, as well as personalized course recommendations. Moreover, we present different visualizations which help in the interpretation of the results. In the experimental validation, we show that the system obtains promising results with data from the degree studies in Law, Computer Science and Mathematics of the Universitat de Barcelona.

Prediction and prevention of failure: an early intervention to assist at-risk medical students.

PubMed

Winston, Kalman A; van der Vleuten, Cees P M; Scherpbier, Albert J J A

2014-01-01

Consistent identification and prevention of failure for at-risk medical students is challenging, failing courses is costly to all stakeholders, and there is need for further research into duration, timing and structure of interventions to help students in difficulty. To verify the value of a new exam two weeks into medical school as a predictor of failure, and explore the requirements for a preventative intervention. Students who failed the two-week exam were invited to a series of large-group workshops and small-group follow-up meetings. Participants' subsequent exam performance was compared with non-participants. About 71% of students who performed poorly in the new exam subsequently failed a course. Attendance at the workshops made no difference to short- or long-term pass rates. Attendance at more than three follow-up small group sessions significantly improved pass rates two semesters later, and was influenced by teacher experience. Close similarity between predictor task and target task is important for accurate prediction of failure. Consideration should be given to dose effect and class size in the prevention of failure of at-risk students, and we recommend a systemic approach to intervention/remediation programmes, involving a whole semester of mandatory, weekly small group meetings with experienced teachers.

Exploring the Impact of Structured Learning Assistance (SLA) on College Writing

ERIC Educational Resources Information Center

Giraldo-García, Regina J.; Magiste, Edward J.

2018-01-01

This study determined that the addition of Structured Learning Assistance (SLA) attendance increased passage rates (from 66.5% to 82%) of first year students in English 101 courses. The model predicts first year students' performance in college writing, controlling for variables such as American College Test scores, and gender. A…

Predictors of College Retention and Performance between Regular and Special Admissions

ERIC Educational Resources Information Center

Kim, Johyun

2015-01-01

This predictive correlational research study examined the effect of cognitive, demographic, and socioeconomic variables as predictors of regular and special admission students' first-year GPA and retention among a sample of 7,045 students. Findings indicated high school GPA and ACT scores were the two most effective predictors of regular and…

Using Video Feedback to Measure Self-Efficacy

ERIC Educational Resources Information Center

Bobo, Linda; Andrews, Amanda

2010-01-01

When a student has a high sense of self-efficacy, foreseeing success and providing positive guides and supports for performing the skill will usually occur. A low self-efficacy tends to predict failure and anticipation of what could go wrong. Videotape feedback provided to students has reported favorable outcomes. Self-efficacy could alter…

Entitlement Attitudes Predict Students' Poor Performance in Challenging Academic Conditions

ERIC Educational Resources Information Center

Anderson, Donna; Halberstadt, Jamin; Aitken, Robert

2013-01-01

Excessive entitlement--an exaggerated or unrealistic belief about what one deserves--has been associated with a variety of maladaptive behaviors, including a decline in motivation and effort. In the context of tertiary education, we reasoned that if students expend less effort to obtain positive outcomes to which they feel entitled, this should…

A Decision Support System for Predicting Students' Performance

ERIC Educational Resources Information Center

Livieris, Ioannis E.; Mikropoulos, Tassos A.; Pintelas, Panagiotis

2016-01-01

Educational data mining is an emerging research field concerned with developing methods for exploring the unique types of data that come from educational context. These data allow the educational stakeholders to discover new, interesting and valuable knowledge about students. In this paper, we present a new user-friendly decision support tool for…

Examining the Domain-Specificity of Metacognition Using Academic Domains and Task-Specific Individual Differences

ERIC Educational Resources Information Center

Scott, Brianna M.; Berman, Ashleigh F.

2013-01-01

Metacognition refers to students' knowledge and regulation of cognition, as well as their accuracy in predicting their academic performance. This study addressed two major questions: 1) how do metacognitive knowledge, regulation and accuracy differ across domains?, and 2) how do students' individual differences relate to their reported…

A Multilevel Latent Growth Curve Approach to Predicting Student Proficiency

ERIC Educational Resources Information Center

Choi, Kilchan; Goldschmidt, Pete

2012-01-01

Value-added models and growth-based accountability aim to evaluate school's performance based on student growth in learning. The current focus is on linking the results from value-added models to the ones from growth-based accountability systems including Adequate Yearly Progress decisions mandated by No Child Left Behind. We present a new…

Student Test Grades in College: A Study of Possible Predictors

ERIC Educational Resources Information Center

Hammonds, Frank; Mariano, Gina

2015-01-01

Research on variables related to test performance has produced mixed results. Typically, research of this type involves only a few variables. In an attempt to obtain a more complete picture, we investigated how test grades might be related to variables such as classification, student seating location, test completion time, predicted grade, time…

Predicting Academic Performance by Data Mining Methods

ERIC Educational Resources Information Center

Vandamme, J. -P.; Meskens, N.; Superby, J. -F.

2007-01-01

Academic failure among first-year university students has long fuelled a large number of debates. Many educational psychologists have tried to understand and then explain it. Many statisticians have tried to foresee it. Our research aims to classify, as early in the academic year as possible, students into three groups: the "low-risk"…

Does the Use of Connective Words in Written Assessments Predict High School Students' Reading and Writing Achievement?

ERIC Educational Resources Information Center

Duggleby, Sandra J.; Tang, Wei; Kuo-Newhouse, Amy

2016-01-01

This study examined the relationship between ninth-grade students' use of connectives (temporal, causal, adversative, and additive) in functional writing and performance on standards-based/criterion-referenced measures of reading and writing. Specifically, structural equation modeling (SEM) techniques were used to examine the relationship between…

Do Teacher Salaries Make a Difference? Tennessee Teachers' Salaries and Student Achievement in the Year 2000.

ERIC Educational Resources Information Center

Miller-Whitehead, Marie

The 2000 Tennessee School Systems Report Card data for 138 Tennessee public school systems were examined to identify variables that predict student performance in reading, language arts, mathematics, science, social studies, writing, high school competency examinations, attendance, and graduation. The dependent variable was school system grade…

Exploring Dynamical Assessments of Affect, Behavior, and Cognition and Math State Test Achievement

ERIC Educational Resources Information Center

San Pedro, Maria Ofelia Z.; Snow, Erica L.; Baker, Ryan S.; McNamara, Danielle S.; Heffernan, Neil T.

2015-01-01

There is increasing evidence that fine-grained aspects of student performance and interaction within educational software are predictive of long-term learning. Machine learning models have been used to provide assessments of affect, behavior, and cognition based on analyses of system log data, estimating the probability of a student's particular…

Using Keystroke Analytics to Improve Pass-Fail Classifiers

ERIC Educational Resources Information Center

Casey, Kevin

2017-01-01

Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…

Why Do Achievement Measures Underpredict Female Academic Performance?

ERIC Educational Resources Information Center

Mattern, Krista; Sanchez, Edgar; Ndum, Edwin

2017-01-01

In the context of college admissions, the current study examined whether differential prediction of first-year grade point average (FYGPA) by gender could be explained by an omitted variable problem--namely, academic discipline, or the amount of effort a student puts into schoolwork and the degree to which a student sees him/herself as hardworking…

Application of Algebra Curriculum-Based Measurements for Decision Making in Middle and High School

ERIC Educational Resources Information Center

Johnson, Evelyn S.; Galow, Patricia A.; Allenger, Robert

2013-01-01

This article reports the results of a study examining the utility of curriculum-based measurement (CBM) in algebra for predicting performance on a state math assessment and informing instructional placement decisions for students in seventh, eighth, and tenth grades. Students completed six Basic Skills algebra probes across different time…

Learning and Motivational Benefits of Acronym Use in Introductory Psychology

ERIC Educational Resources Information Center

Stalder, Daniel R.

2005-01-01

Study 1 assessed students' use and perceptions of acronyms at 3 different exam times in 2 sections of Introduction to Psychology. Acronym use consistently predicted higher performance on acronym related exam items, and I partially discounted 2 possible confounds. Students rated acronyms as helpful in multiple ways, including increasing motivation…

Prediction of Kindergartners' Academic Achievement from Their Effortful Control and Emotionality: Evidence for Direct and Moderated Relations

ERIC Educational Resources Information Center

Valiente, Carlos; Lemery-Chalfant, Kathryn; Swanson, Jodi

2010-01-01

The relations between effortful control, emotionality (anger, sadness, and shyness), and academic achievement were examined in a short-term longitudinal study of 291 kindergartners. Teachers and parents reported on students' effortful control and emotionality. Students completed the Continuous Performance Task and the Letter-Word, Passage…

Application of Computational Intelligence to Improve Education in Smart Cities.

PubMed

Gomede, Everton; Gaffo, Fernando Henrique; Briganó, Gabriel Ulian; de Barros, Rodolfo Miranda; Mendes, Leonardo de Souza

2018-01-18

According to UNESCO, education is a fundamental human right and every nation's citizens should be granted universal access with equal quality to it. Because this goal is yet to be achieved in most countries, in particular in the developing and underdeveloped countries, it is extremely important to find more effective ways to improve education. This paper presents a model based on the application of computational intelligence (data mining and data science) that leads to the development of the student's knowledge profile and that can help educators in their decision making for best orienting their students. This model also tries to establish key performance indicators to monitor objectives' achievement within individual strategic planning assembled for each student. The model uses random forest for classification and prediction, graph description for data structure visualization and recommendation systems to present relevant information to stakeholders. The results presented were built based on the real dataset obtained from a Brazilian private k-9 (elementary school). The obtained results include correlations among key data, a model to predict student performance and recommendations that were generated for the stakeholders.

Emotional intelligence predicts success in medical school.

PubMed

Libbrecht, Nele; Lievens, Filip; Carette, Bernd; Côté, Stéphane

2014-02-01

Accumulating evidence suggests that effective communication and interpersonal sensitivity during interactions between doctors and patients impact therapeutic outcomes. There is an important need to identify predictors of these behaviors, because traditional tests used in medical admissions offer limited predictions of "bedside manners" in medical practice. This study examined whether emotional intelligence would predict the performance of 367 medical students in medical school courses on communication and interpersonal sensitivity. One of the dimensions of emotional intelligence, the ability to regulate emotions, predicted performance in courses on communication and interpersonal sensitivity over the next 3 years of medical school, over and above cognitive ability and conscientiousness. Emotional intelligence did not predict performance on courses on medical subject domains. The results suggest that medical schools may better predict who will communicate effectively and show interpersonal sensitivity if they include measures of emotional intelligence in their admission systems. PsycINFO Database Record (c) 2014 APA, all rights reserved.

Assessing the Integration of Audience Response System Technology in Teaching of Anatomical Sciences

PubMed Central

Alexander, Cara J.; Crescini, Weronika M.; Juskewitch, Justin E.; Lachman, Nirusha; Pawlina, Wojciech

2009-01-01

The goals of our study were to determine the predictive value and usability of an audience response system (ARS) as a knowledge assessment tool in an undergraduate medical curriculum. Over a three year period (2006–2008), data were collected from first year didactic blocks in Genetics/Histology and Anatomy/Radiology (n=42–50 per class). During each block, students answered clinically oriented multiple choice questions using the ARS. Students’ performances were recorded and cumulative ARS scores were compared with final examination performances. Correlation coefficients between these variables were calculated to assess the existence and direction of an association between ARS and final examination score. If associations existed, univariate models were then constructed using ARS as a predictor of final examination score. Student and faculty perception of ARS difficulty, usefulness, effect on performance, and preferred use were evaluated using a questionnaire. There was a statistically significant positive correlation between ARS and final examination scores in all didactic blocks and predictive univariate models were constructed for each relationship (all P < 0.0001). Students and faculty agreed that ARS was easy to use and are liable tool for providing real-time feedback that improved their performance and participation. In conclusion, we found ARS to be an effective assessment tool benefiting the faculty and the students in a curriculum focused on interaction and self-directed learning. PMID:19670428

Teacher student relationship quality type in elementary grades: Effects on trajectories for achievement and engagement

PubMed Central

Wu, Jiun-yu; Hughes, Jan N.; Kwok, Oi-man

2010-01-01

Teacher, peer, and student reports of the quality of the teacher-student relationship were obtained for an ethnically diverse and academically at-risk sample of 706 second and third grade students. Cluster analysis identified four types of relationships based on the consistency of child reports of support and conflict in the relationship with reports of others: Congruent positive, Congruent Negative, Incongruent Child Negative and Incongruent Child Positive. The cluster solution evidenced good internal consistency and construct validity. Cluster membership predicted growth trajectories for teacher-rated engagement and standardized achievement scores over the following three years, above prior performance. The predictive associations between child reports of teacher support and conflict and outcomes depended on whether child reports were consistent or inconsistent with reports of others. Study findings have implications for theory development, assessment of teacher-student relationships, and teacher professional development. PMID:20728688

Predicting Student Performance in Statewide High-Stakes Tests for Middle School Mathematics Using the Results from Third Party Testing Instruments

ERIC Educational Resources Information Center

Meylani, Rusen; Bitter, Gary G.; Castaneda, Rene

2014-01-01

In this study regression and neural networks based methods are used to predict statewide high-stakes test results for middle school mathematics using the scores obtained from third party tests throughout the school year. Such prediction is of utmost significance for school districts to live up to the state's educational standards mandated by the…

Comprehensive Osteopathic Medical Licensing Examination-USA level 1 and level 2-cognitive evaluation preparation and outcomes.

PubMed

Maholtz, Danielle E; Erickson, Michael J; Cymet, Tyler

2015-04-01

The Comprehensive Osteopathic Medical Licensing Examination-USA (COMLEX-USA) assesses the competence of osteopathic physicians in training. It is designed to protect the public by setting minimum competence standards. All osteopathic medical students must pass COMLEX-USA Level 1, Level 2-Cognitive Evaluation, and Level 2-Performance Evaluation before being allowed to graduate from an osteopathic medical school. Residency training programs use COMLEX-USA scores as a major factor in deciding whom they will interview and admit into their programs. In addition, colleges of osteopathic medicine use student COMLEX-USA scores as an external assessment of their success in educating students. Because COMLEX-USA is a high-stakes examination series, it is important to understand predictive factors for performance. The authors review the literature on the relationship between COMLEX-USA scores and correlated student variables. Results from the Council on Osteopathic Student Government Presidents' survey on students' preparation methods and performance are also provided.

Temporal Learning Analytics for Adaptive Assessment

ERIC Educational Resources Information Center

Papamitsiou, Zacharoula; Economides, Anastasios A.

2014-01-01

Accurate and early predictions of student performance could significantly affect interventions during teaching and assessment, which gradually could lead to improved learning outcomes. In our research, we seek to identify and formalize temporal parameters as predictors of performance ("temporal learning analytics" or TLA) and examine…

Student Engagement with a Flipped Classroom Teaching Design Affects Pharmacology Examination Performance in a Manner Dependent on Question Type

PubMed Central

Naidu, Som; Yuriev, Elizabeth; Short, Jennifer L.; McLaughlin, Jacqueline E.; Larson, Ian C.

2017-01-01

Objective: To investigate the relationship between student engagement with the key elements of a flipped classroom approach (preparation and attendance), their attitudes to learning, including strategy development, and their performance on two types of examination questions (knowledge recall and providing rational predictions when faced with novel scenarios). Methods. This study correlated student engagement with the flipped classroom and student disposition to learning with student ability to solve novel scenarios in examinations. Results. Students who both prepared for and attended classes performed significantly better on examination questions that required analysis of novel scenarios compared to students who did not prepare and missed classes. However, there was no difference for both groups of students on examination questions that required knowledge and comprehension. Student motivation and use of strategies correlated with higher examination scores on questions requiring novel scenario analysis. Conclusion. There is a synergistic relationship between class preparation and attendance. The combination of preparation and attendance was positively correlated to assessment type; the relationship was apparent for questions requiring students to solve novel problems but not for questions requiring knowledge or comprehension. PMID:29302082

Predicting medical students' intentions to take up rural practice after graduation.

PubMed

Jones, Michael; Humphreys, John; Prideaux, David

2009-10-01

Using a novel longitudinal tracking project, this study develops and evaluates the performance of a predictive model and index of rural medical practice intention based on the characteristics of incoming medical students. Medical school entry survey data were obtained from the Medical Schools Outcome Database (MSOD) project implemented in all Australian and New Zealand medical schools and coordinated through Medical Deans Australia and New Zealand, the representative body for the Deans of 18 Australian and two New Zealand medical schools and faculties. The medical school commencement survey collects data on students' education and family background, including rural upbringing, personal circumstances and scholarships, and on their practice intentions in terms of location and specialty. The MSOD will also allow tracking of medical graduates after graduation. Logistic regression modelling was used to develop a predictive model of rural practice intention. Split-sample validation was used to gain some insight into the stability of performance of the model. Response rates to the MSOD survey exceeded 90% on average. The model findings confirm and extend previous research examining the association of medical student characteristics with intention to take up rural medical practice. The statistically significant independent factors in the model included students' rural backgrounds, financial arrangements and intentions regarding specialist versus generalist practice upon graduation. Model performance was good, with an area under the receiver-operator characteristics curve of 0.86, and reproducible, with an area in a validation sample of 0.83. The model and related index provide important insights into individual factors associated with rural practice intention among students commencing medical studies. The model can also provide a means for optimising the use of scarce medical programme resources, thereby helping to improve the supply of rural medical practitioners. This study illustrates the power and potential of a robust, consistent, systematic longitudinal tracking project.

Perfectionism moderates stereotype threat effects on STEM majors' academic performance.

PubMed

Rice, Kenneth G; Lopez, Frederick G; Richardson, Clarissa M E; Stinson, Jennifer M

2013-04-01

Using a randomized, between-subjects experimental design, we tested hypotheses that self-critical perfectionism would moderate the effects of subtle stereotype threat (ST) for women and students in underrepresented racial/ethnic groups who are pursuing traditional degrees in science, technology, engineering, or math (STEM). A diverse sample of freshmen students (N = 294) was recruited from 2 major universities. Students were blocked by gender and race/ethnicity and randomly assigned to experience subtle ST or no ST. Participants in the subtle ST condition were primed to consider their gender, race, and ethnicity prior to completing measures of science self-efficacy. Those in the control condition completed the measures without such priming. Controlling for prior academic performance and university context, ST priming significantly interacted (a) with self-critical perfectionism to predict coping self-efficacy scores and (b) with race/ethnicity to predict end-of-semester STEM grades. A 3-way interaction of ST priming, sex, and self-critical perfectionism also predicted students' grades in courses wherein women and men were more proportionally represented. The Sex × Self-Critical Perfectionism interaction was not significant for those in the ST group but was for those in the control group. Men in the control group had higher grade-point averages (GPAs) at low levels of self-critical perfectionism than they had at higher levels of perfectionism. In contrast, women had lower GPAs when self-critical perfectionism was low, but their GPAs were higher when self-critical perfectionism was high. The findings are discussed in terms of their implications for self-efficacy and performance in the pursuit of a STEM major.

The motivating role of positive feedback in sport and physical education: evidence for a motivational model.

PubMed

Mouratidis, Athanasios; Vansteenkiste, Maarten; Lens, Willy; Sideridis, Georgios

2008-04-01

Based on self-determination theory (Deci & Ryan, 2000), an experimental study with middle school students participating in a physical education task and a correlational study with highly talented sport students investigated the motivating role of positive competence feedback on participants' well-being, performance, and intention to participate. In Study 1, structural equation modeling favored the hypothesized motivational model, in which, after controlling for pretask perceived competence and competence valuation, feedback positively predicted competence satisfaction, which in turn predicted higher levels of vitality and greater intentions to participate, through the mediation of autonomous motivation. No effects on performance were found. Study 2 further showed that autonomous motivation mediated the relation between competence satisfaction and well-being, whereas a motivation mediated the negative relation between competence satisfaction and ill-being and rated performance. The discussion focuses on the motivational role of competence feedback in sports and physical education settings.

Ecological and personal predictors of science achievement in an urban center

NASA Astrophysics Data System (ADS)

Guidubaldi, John Michael

This study sought to examine selected personal and environmental factors that predict urban students' achievement test scores on the science subject area of the Ohio standardized test. Variables examined were in the general categories of teacher/classroom, student, and parent/home. It assumed that these clusters might add independent variance to a best predictor model, and that discovering relative strength of different predictors might lead to better selection of intervention strategies to improve student performance. This study was conducted in an urban school district and was comprised of teachers and students enrolled in ninth grade science in three of this district's high schools. Consenting teachers (9), students (196), and parents (196) received written surveys with questions designed to examine the predictive power of each variable cluster. Regression analyses were used to determine which factors best correlate with student scores and classroom science grades. Selected factors were then compiled into a best predictive model, predicting success on standardized science tests. Students t tests of gender and racial subgroups confirmed that there were racial differences in OPT scores, and both gender and racial differences in science grades. Additional examinations were therefore conducted for all 12 variables to determine whether gender and race had an impact on the strength of individual variable predictions and on the final best predictor model. Of the 15 original OPT and cluster variable hypotheses, eight showed significant positive relationships that occurred in the expected direction. However, when more broadly based end-of-the-year science class grade was used as a criterion, 13 of the 15 hypotheses showed significant relationships in the expected direction. With both criteria, significant gender and racial differences were observed in the strength of individual predictors and in the composition of best predictor models.

Predictive validity of the classroom strategies scale-observer form on statewide testing scores: an initial investigation.

PubMed

Reddy, Linda A; Fabiano, Gregory A; Dudek, Christopher M; Hsu, Louis

2013-12-01

The present study examined the validity of a teacher observation measure, the Classroom Strategies Scale--Observer Form (CSS), as a predictor of student performance on statewide tests of mathematics and English language arts. The CSS is a teacher practice observational measure that assesses evidence-based instructional and behavioral management practices in elementary school. A series of two-level hierarchical generalized linear models were fitted to data of a sample of 662 third- through fifth-grade students to assess whether CSS Part 2 Instructional Strategy and Behavioral Management Strategy scale discrepancy scores (i.e., ∑ |recommended frequency--frequency ratings|) predicted statewide mathematics and English language arts proficiency scores when percentage of minority students in schools was controlled. Results indicated that the Instructional Strategy scale discrepancy scores significantly predicted mathematics and English language arts proficiency scores: Relatively larger discrepancies on observer ratings of what teachers did versus what should have been done were associated with lower proficiency scores. Results offer initial evidence of the predictive validity of the CSS Part 2 Instructional Strategy discrepancy scores on student academic outcomes. PsycINFO Database Record (c) 2013 APA, all rights reserved.

When performance-approach goals predict academic achievement and when they do not: a social value approach.

PubMed

Dompnier, Benoît; Darnon, Céline; Butera, Fabrizio

2013-09-01

Research on achievement goal promotion at University has shown that performance-approach goals are perceived as a means to succeed at University (high social utility) but are not appreciated (low social desirability). We argue that such a paradox could explain why research has detected that performance-approach goals consistently predict academic grades. First-year psychology students answered a performance-approach goal scale with standard, social desirability and social utility instructions. Participants' grades were recorded at the end of the semester. Results showed that the relationship between performance-approach goals and grades was inhibited by the increase of these goals' social desirability and facilitated by the increase of their social utility, revealing that the predictive validity of performance-approach goals depends on social value. © 2013 The British Psychological Society.

The relationship between professional behaviour grades and tutor performance ratings in problem-based learning.

PubMed

Dolmans, Diana Hjm; Luijk, Scheltus J; Wolfhagen, Ineke Hap; Scherpbier, Albert Jja

2006-02-01

We investigated the influence of harsh grading by tutors on tutor performance rating by students. A total of 187 tutors assessed students' professional behaviour in tutorial groups. Students rated tutor performance after receiving their grades for professional behaviour. In addition, students were asked to indicate whether they perceived their professional behaviour grades as too positive, adequate or too negative. This was considered to reflect tutors' harshness of grading. Students also rated the quality of the feedback they received from tutors with respect to their grades. Professional behaviour grades that students perceived as too negative, adequate or too positive were associated with tutor performance ratings of 7.4 (SD = 0.9, scale 1-10, n = 33), 7.7 (SD = 0.9, scale 1-10, n = 95) and 7.5 (SD = 0.8, scale 1-10, n = 59), respectively. Harshness of grading did not influence tutor performance ratings significantly. Tutor ratings were predicted more effectively by the quality of the feedback tutors provided on grades than by the harshness of grading. Tutor performance ratings were not related significantly to harshness of grading. Two explanations can be given: (1) tutor performance ratings were based on rating by groups of students and (2) the percentage of tutors who rated students' professional behaviour as unsatisfactory was low. The strong relationship between tutor performance ratings and the adequacy of the feedback given by tutors suggests that the tutor performance ratings collected in this study are a valid measure of the quality of their teaching, although, for a full picture of teaching quality, more measures will be needed.

Predicting the Resiliency in Parents with Exceptional Children Based on Their Mindfulness

ERIC Educational Resources Information Center

Jabbari, Sosan; Firoozabadi, Somayeh Sadati; Rostami, Sedighe

2016-01-01

The purpose of the present study was to predict the resiliency in parents with exceptional children based on their mindfulness. This descriptive correlational study was performed on 260 parents of student (105 male and 159 female) that were selected by cluster sampling method. Family resiliency questionnaire (Sickby, 2005) and five aspect…

Sex-Specific Differential Prediction of College Admission Tests: A Meta-Analysis

ERIC Educational Resources Information Center

Fischer, Franziska T.; Schult, Johannes; Hell, Benedikt

2013-01-01

This is the first meta-analysis that investigates the differential prediction of undergraduate and graduate college admission tests for women and men. Findings on 130 independent samples representing 493,048 students are summarized. The underprediction of women's academic performance (d = 0.14) and the overprediction of men's academic performance…

Prediction and Stability of Reading Problems in Middle Childhood

ERIC Educational Resources Information Center

Ritchey, Kristen D.; Silverman, Rebecca D.; Schatschneider, Christopher; Speece, Deborah L.

2015-01-01

The longitudinal prediction of reading problems from fourth grade to sixth grade was investigated with a sample of 173 students. Reading problems at the end of sixth grade were defined by significantly below average performance (= 15th percentile) on reading factors defining word reading, fluency, and reading comprehension. Sixth grade poor reader…

Predictive Data Tools Find Uses in Schools

ERIC Educational Resources Information Center

Sparks, Sarah D.

2011-01-01

The use of analytic tools to predict student performance is exploding in higher education, and experts say the tools show even more promise for K-12 schools, in everything from teacher placement to dropout prevention. Use of such statistical techniques is hindered in precollegiate schools, however, by a lack of researchers trained to help…

When Did You Last Predict a Good Idea?

ERIC Educational Resources Information Center

Penaluna, Kathryn; Penaluna, Andrew; Jones, Colin; Matlay, Harry

2014-01-01

It has been noted elsewhere that an idea is acknowledged to be creative if it is novel, or surprising and adaptive. So how does that fit with education's desire to measure student performance against fixed, consistent and predicted learning outcomes? This study explores practical measures and theoretical constructs that address the dearth of…

The psychometrics and validity of the Junior Temperament and Character Inventory in Portuguese adolescents.

PubMed

Moreira, Paulo A; Oliveira, João Tiago; Cloninger, Kevin M; Azevedo, Carla; Sousa, Alexandra; Castro, Jorge; Cloninger, C Robert

2012-11-01

Personality traits related to persistence and self-regulation of long-term goals can predict academic performance as well or better than measures of intelligence. The 5-factor model has been suggested to outperform some other personality tests in predicting academic performance, but it has not been compared to Cloninger's psychobiological model for this purpose. The aims of this study were, first, to evaluate the psychometric properties of the Junior Temperament and Character Inventory (JTCI) in adolescents in Portugal, and second, to evaluate the comparative validity of age-appropriate versions of Cloninger's 7-factor psychobiological model, Costa and McCrae's five-factor NEO-Personality Inventory-Revised, and Cattell's 16-personality-factor inventory in predicting academic achievement. All dimensions of the Portuguese JTCI had moderate to strong internal consistency. The Cattell's sixteen-personality-factor and NEO inventories provided strong construct validity for the JTCI in students younger than 17 years and for the revised adult version (TCI-Revised) in those 17 years and older. High TCI Persistence predicted school grades regardless of age as much or more than intelligence. High TCI Harm Avoidance, high Self-Transcendence, and low TCI Novelty Seeking were additional predictors in students older than 17. The psychobiological model, as measured by the JTCI and TCI-Revised, performed as well or better than other measures of personality or intelligence in predicting academic achievement. Copyright © 2012 Elsevier Inc. All rights reserved.

Math anxiety, self-efficacy, and ability in British undergraduate nursing students.

PubMed

McMullan, Miriam; Jones, Ray; Lea, Susan

2012-04-01

Nurses need to be able to make drug calculations competently. In this study, involving 229 second year British nursing students, we explored the influence of mathematics anxiety, self-efficacy, and numerical ability on drug calculation ability and determined which factors would best predict this skill. Strong significant relationships (p < .001) existed between anxiety, self-efficacy, and ability. Students who failed the numerical and/or drug calculation ability tests were more anxious (p < .001) and less confident (p ≤ .002) in performing calculations than those who passed. Numerical ability made the strongest unique contribution in predicting drug calculation ability (beta = 0.50, p < .001) followed by drug calculation self-efficacy (beta = 0.16, p = .04). Early testing is recommended for basic numerical skills. Faculty are advised to refresh students' numerical skills before introducing drug calculations. Copyright © 2012 Wiley Periodicals, Inc.

The role of self-regulated learning in explaining examination performance of college students in first-semester general chemistry

NASA Astrophysics Data System (ADS)

Beckley, Scott

Many college students struggle with first-semester general chemistry. Prior studies have shown that a student's prior knowledge of chemistry, a cognitive factor, does not account for the total variance when measured by examination scores. This study explored the role of self-regulated learning (SRL) to identify the degree of success or failure of students with two outcome variables (i.e., American Chemical Society Comprehensive First-Term General Chemistry Examination (Form 2009) and hour-examination averages). The SRL construct consists of three interrelated components (i.e., cognitive, metacognitive, and motivational). SRL theory focuses on the idea of reciprocal determinism, in which the impact of one component of self-regulation affects the other two components. In the quantitative portion of this mixed methods study, eight measures of SRL were used to determine the `level' of self-regulation for each student. SRL variables were used in regression analysis and provided additional and unique variances. Cluster analysis techniques identified two distinct groups of students (i.e., adaptive and maladaptive). Generally, adaptive learners were associated with higher levels of SRL and success in the course; maladaptive learners had lower levels of SRL and struggled with the course demands. For the qualitative portion of the study, student volunteers (n = 8) were interviewed to gauge their views on the role of instruction in influencing their examination performances. The findings indicated that perceptions of teaching methods, demands of the course, course structure, feedback, and assessments were associated with the students' levels of self-regulation. Interviews revealed four SRL styles. Rote memorizers tended to fragment instruction and then memorize each fragment, while algorithmic memorizers tended to imitate the step-by-step problem-solving strategies of the instructor or the textbook. Globalizers were intrinsically motivated to learn the material but tended to focus on learning topics that were of practical interest to them, while conceptualizers tended to use flexible problem-solving approaches. The interviewees' actual outcome scores were compared to their predicted scores as generated from the regression models. In general, the actual scores of rote and algorithmic memorizers were lower than their predicted scores, while the actual scores for globalizers and conceptualizers were higher than predicted. From a teaching perspective, this study provided direct relationships between SRL and academic performance. This study also identified SRL styles and found evidence to support that differences in these styles influence students' performances.

Student Pilot Aptitude as an Indicator of Success in a Part 141 Collegiate Flight Training Program

ERIC Educational Resources Information Center

McFarland, Maureen R.

2017-01-01

Predicting flight training success has been well researched in military aviation yet there is limited information pertaining to general aviation. The purpose of this study was to determine if attributes of pilot performance could be used to differentiate students in a collegiate flight training program. Several pre-entry and flight training…

A Tale of Two MOOCs: How Student Motivation and Participation Predict Learning Outcomes in Different MOOCs

ERIC Educational Resources Information Center

Brooker, Abi; Corrin, Linda; de Barba, Paula; Lodge, Jason; Kennedy, Gregor

2018-01-01

Recent scholarly discussions about massive open online courses (MOOCs) highlight pedagogical and practical issues that separate MOOCs from other learning settings, especially how theories of learning translate to MOOC students' motivation, participation, and performance. What is missing from these discussions is the purpose of the MOOC. We report…

Game Changers: The Role Athletic Identity and Racial Identity Play on Academic Performance

ERIC Educational Resources Information Center

Bimper, Albert Y., Jr.

2014-01-01

The purpose of this study was to examine the degree to which athletic and racial identity predict the academic outcomes of Black student athletes participating in National Collegiate Athletic Association Division 1 Football Bowl Series football. The academic outcomes of Black student athletes are a growing concern to both scholars and…

Motivational Constructs Influencing Undergraduate Students' Choices to become Classroom Music Teachers or Music Performers

ERIC Educational Resources Information Center

Parkes, Kelly A.; Jones, Brett D.

2012-01-01

The primary purpose of this study was to examine whether any of the six motivational constructs in the expectancy-value model of motivation (i.e., expectancy, ability perceptions, intrinsic interest value, attainment value, social utility value, and cost) would predict whether students intended to have a career teaching classroom music or…

Probabilities and Predictions: Modeling the Development of Scientific Problem-Solving Skills

ERIC Educational Resources Information Center

Stevens, Ron; Johnson, David F.; Soller, Amy

2005-01-01

The IMMEX (Interactive Multi-Media Exercises) Web-based problem set platform enables the online delivery of complex, multimedia simulations, the rapid collection of student performance data, and has already been used in several genetic simulations. The next step is the use of these data to understand and improve student learning in a formative…

Using the Expectancy-Value Theory of Motivation to Predict Behavioral and Emotional Risk among High School Students

ERIC Educational Resources Information Center

Dever, Bridget V.

2016-01-01

Within the expectancy-value framework, much work has been done linking expectancies and task values to academic outcomes such as performance, persistence, and choice. Research on the associations between student motivation (including efficacy and task values) and behavioral and emotional problems, however, is nascent. The present study examined a…

Using the Admitted Class Evaluation Service (ACES) to Conduct Institution-Specific Admission or Placement Validity Studies

ERIC Educational Resources Information Center

Shaw, Emily J.

2011-01-01

Presented at the 23rd Annual Historically Black Colleges & Universities (HBCU) Conference in Atlanta, GA, in September 2011. Admitted Class Evaluation Service (ACES) is the College Board's free online service that predicts how admitted students will perform at a college or university generally, and how successful students will be in specific…

High School Advanced Placement and Student Performance in College: STEM Majors, Non-STEM Majors, and Gender Differences

ERIC Educational Resources Information Center

Ackerman, Phillip L.; Kanfer, Ruth; Calderwood, Charles

2013-01-01

Background/Context: The past few decades have seen an explosive growth in high-school student participation in the Advanced Placement program® (AP), with nearly two million exams completed in 2011. Traditionally, universities have considered AP enrollment as an indicator for predicting academic success during the admission process. However, AP…

Predicting Role Conflict, Overload and Contagion in Adult Women University Students with Families and Jobs.

ERIC Educational Resources Information Center

Home, Alice M.

1998-01-01

Data from 443 women combining work, family, and schooling showed that lower income increased their vulnerability to role conflict. Perceived intensity of student demands was the strongest predictor of role conflict, overload, and contagion (preoccupation with one role while performing another). Conflict and overload were eased somewhat by distance…

Early Prediction of Students' Grade Point Averages at Graduation: A Data Mining Approach

ERIC Educational Resources Information Center

Tekin, Ahmet

2014-01-01

Problem Statement: There has recently been interest in educational databases containing a variety of valuable but sometimes hidden data that can be used to help less successful students to improve their academic performance. The extraction of hidden information from these databases often implements aspects of the educational data mining (EDM)…

Predicting Performance in an Advanced Undergraduate Geological Field Camp Experience

ERIC Educational Resources Information Center

Dykas, Matthew J.; Valentino, David W.

2016-01-01

This study examined the factors that contribute to students' success in conducting geological field work. Undergraduate students (n = 49; 51% female; mean age = 22 y) who were enrolled in the 5-wk State University of New York at Oswego (SUNY Oswego) geology field program volunteered to participate in this study. At the beginning of the field…

Secondary School Students' Use of and Attitudes toward Online Mathematics Homework

ERIC Educational Resources Information Center

Albelbisi, Nour Awni; Yusop, Farrah Dina

2018-01-01

The purposes of this study were twofold: 1) to examine the influence of performance expectancy, and effort expectancy on secondary school students attitudes toward the use of a mathematics online homework package called MyiMaths; and 2) to predict the factor that best influences their attitudes. A 15 item, five-point Likertscale instrument was…

Preadmission Schooling Context Helps to Predict Examination Performance throughout Medical School

ERIC Educational Resources Information Center

Stringer, Neil; Chan, Michael; Bimpeh, Yaw; Chan, Philip

2017-01-01

This study investigates the effects of socioeconomic status and schooling on the academic attainment of a cohort of students at a single medical school (N = 240). Partial least squares structural equation modelling was used to explore how students' summative assessment scores over 4 years of medical school were affected by: attainment in secondary…