Strategic Planning towards a World-Class University

NASA Astrophysics Data System (ADS)

Usoh, E. J.; Ratu, D.; Manongko, A.; Taroreh, J.; Preston, G.

2018-02-01

Strategic planning with a focus on world-class university status is an option that cannot be avoided by universities today to survive and succeed in competition as a provider of higher education. The objective of this research is to obtain exploratory research results on the strategic plans of universities that are prepared to generate world-class university status. This research utilised exploratory qualitative research method and data was collected by in-depth interviews method. Interview transcripts were analyzed by using thematic content analysis through NVivo software analysis and manual systems. The main finding of interview shows that most interviewees agreed that UNIMA has been engaged in strategic planning. Contribution from faculties and schools are acknowledged and inform the planning process. However, a new model of strategic planning should be adopted by UNIMA due to the shift towards a “corporate university”. The finding results from documents, literature review and interview were the addition of world-class university characteristics and features to current strategic planning of UNIMA and how to upgrade by considering to use the characteristics and features towards world-class university.

Experiencing the Research Process in a Single Class Period

ERIC Educational Resources Information Center

Cook, Kathleen E.

2008-01-01

Books and courses on research methods, statistics, or both, often necessarily focus on one topic at a time. This compartmentalized approach prevents students from seeing the big picture. To address this shortcoming, I developed an exercise through which students experience the whole research process in a single class period. From posing a…

Opinions of the Class Teachers towards "Privacy" and Its Violation

ERIC Educational Resources Information Center

Kiral, Bilgen; Karaman Kepenekci, Yasemin

2017-01-01

Purpose: The aim of this study is to reveal the opinions of teachers in terms of the right to privacy at school, both in the class and individually, and the violation of this right. Research Methods: Data was collected using a qualitative interview method. 21 teachers from state schools and 15 from two private schools, in total 36 class teachers,…

Enhancement of students’ creative thinking skills on mixture separation topic using project based student worksheet

NASA Astrophysics Data System (ADS)

Nurisalfah, R.; Fadiawati, N.; Jalmo, T.

2018-05-01

The aim of this study is to describe the effectiveness of project based student worksheet in improving students' creative thinking skills. The research method is using quasi experiment with the matching only pre-test post-test control group design. The population in this research is all students of class VII SMP N 2 Belitang Madang Raya with class VII1 as control class and class VII4 as experiment class. The sample of this research is obtaining by purposive sampling technique. The effectiveness of project based student worksheet is based on significant post-test differences between the control class and the experiment class as well as the effect size. The results show that the using of project based student worksheet is effective in improving students' creative thinking skills on mixture separation topic.

The Effect of Special Teaching Methods Class on the Level of Teachers' Self-Efficacy Perception of Pre-Service Teacher

ERIC Educational Resources Information Center

Gökdag Baltaoglu, Meltem

2015-01-01

The purpose of this study is to evaluate the change in the level of teachers' self-efficacy perception of primary school Social Studies pre-service teachers who take the special teaching methods class. Single group pretest-posttest model from pre-experimental patterns was applied in the research. The study group of the research consisted of 59…

The effectivenes of science domain-based science learning integrated with local potency

NASA Astrophysics Data System (ADS)

Kurniawati, Arifah Putri; Prasetyo, Zuhdan Kun; Wilujeng, Insih; Suryadarma, I. Gusti Putu

2017-08-01

This research aimed to determine the significant effect of science domain-based science learning integrated with local potency toward science process skills. The research method used was a quasi-experimental design with nonequivalent control group design. The population of this research was all students of class VII SMP Negeri 1 Muntilan. The sample of this research was selected through cluster random sampling, namely class VII B as an experiment class (24 students) and class VII C as a control class (24 students). This research used a test instrument that was adapted from Agus Dwianto's research. The aspect of science process skills in this research was observation, classification, interpretation and communication. The analysis of data used the one factor anova at 0,05 significance level and normalized gain score. The significance level result of science process skills with one factor anova is 0,000. It shows that the significance level < alpha (0,05). It means that there was significant effect of science domain-based science learning integrated with local potency toward science learning process skills. The results of analysis show that the normalized gain score are 0,29 (low category) in control class and 0,67 (medium category) in experiment class.

Classes in Themselves and for Themselves: The Practice of Monitorial Education for Different Social Classes in Sweden, 1820-1843

ERIC Educational Resources Information Center

Larsson, Esbjörn

2016-01-01

This article investigates the monitorial system of education in Sweden between 1820 and 1843. In contrast to previous research, which has emphasised monitorial education as a method for disciplining poor children, this article compares the use of the method in schools for the working classes and in academic schools. Using concepts such as…

Online Class Size, Note Reading, Note Writing and Collaborative Discourse

ERIC Educational Resources Information Center

Qiu, Mingzhu; Hewitt, Jim; Brett, Clare

2012-01-01

Researchers have long recognized class size as affecting students' performance in face-to-face contexts. However, few studies have examined the effects of class size on exact reading and writing loads in online graduate-level courses. This mixed-methods study examined relationships among class size, note reading, note writing, and collaborative…

How to Solve Polyhedron Problem?

NASA Astrophysics Data System (ADS)

Wijayanti, A.; Kusumah, Y. S.; Suhendra

2017-09-01

The purpose of this research is to know the possible strategies to solve the problem in polyhedron topic with Knilsey’s Learning Model as scaffolding for the student. This research was conducted by using mixed method with sequential explanatory design. Researchers used purposive sampling technique to get two classes for Knisley class and conventional class and an extreme case sampling technique to get interview data. The instruments used are tests, observation sheets and interview guidelines. The result of the research shows that: (1) students’ strategies to solve polyhedron problem were grouped into two steps: by partitioning the problem to find out the solution and make a mathematical model of the mathematical sentence given and then connect it with the concept that the students already know; (2) students ‘mathematical problem solving ability in Knisley class is higher than those in conventional class.

University and Student Segmentation: Multilevel Latent-Class Analysis of Students' Attitudes towards Research Methods and Statistics

ERIC Educational Resources Information Center

Mutz, Rudiger; Daniel, Hans-Dieter

2013-01-01

Background: It is often claimed that psychology students' attitudes towards research methods and statistics affect course enrolment, persistence, achievement, and course climate. However, the inter-institutional variability has been widely neglected in the research on students' attitudes towards research methods and statistics, but it is important…

Web-Assisted Courses for Business Education: An Examination of Two Sections of Principles of Marketing

ERIC Educational Resources Information Center

Priluck, Randi

2004-01-01

This research investigates student responses to two technologically different teaching methods for two sections of a Principles of Marketing course. A traditional method of teaching using lectures, in-class discussions, assignments, and exams is compared to a "Web-assisted" method in which 7 of the 14 class sessions met asynchronously online.…

A dictionary learning approach for human sperm heads classification.

PubMed

Shaker, Fariba; Monadjemi, S Amirhassan; Alirezaie, Javad; Naghsh-Nilchi, Ahmad Reza

2017-12-01

To diagnose infertility in men, semen analysis is conducted in which sperm morphology is one of the factors that are evaluated. Since manual assessment of sperm morphology is time-consuming and subjective, automatic classification methods are being developed. Automatic classification of sperm heads is a complicated task due to the intra-class differences and inter-class similarities of class objects. In this research, a Dictionary Learning (DL) technique is utilized to construct a dictionary of sperm head shapes. This dictionary is used to classify the sperm heads into four different classes. Square patches are extracted from the sperm head images. Columnized patches from each class of sperm are used to learn class-specific dictionaries. The patches from a test image are reconstructed using each class-specific dictionary and the overall reconstruction error for each class is used to select the best matching class. Average accuracy, precision, recall, and F-score are used to evaluate the classification method. The method is evaluated using two publicly available datasets of human sperm head shapes. The proposed DL based method achieved an average accuracy of 92.2% on the HuSHeM dataset, and an average recall of 62% on the SCIAN-MorphoSpermGS dataset. The results show a significant improvement compared to a previously published shape-feature-based method. We have achieved high-performance results. In addition, our proposed approach offers a more balanced classifier in which all four classes are recognized with high precision and recall. In this paper, we use a Dictionary Learning approach in classifying human sperm heads. It is shown that the Dictionary Learning method is far more effective in classifying human sperm heads than classifiers using shape-based features. Also, a dataset of human sperm head shapes is introduced to facilitate future research. Copyright © 2017 Elsevier Ltd. All rights reserved.

Is There a Student "Disconnect?" First-Year Hybrid Class Teachers' Observations and Recommendations for Improving Student Engagement in Information Systems Classes

ERIC Educational Resources Information Center

Parris, Joan B.; Beaver, Jana P.; Nickels, David W.; Crabtree, John D.

2011-01-01

Research shows that during times of economic downturn in the United States, education funding suffers. One method that higher education administrators are choosing to ease the economic crunch is to offer hybrid classes that blend one regular face-to-face class meeting with online and outside class components. The challenge of managing large…

Assessing Student Perception of Practice Evaluation Knowledge in Introductory Research Methods

ERIC Educational Resources Information Center

Baker, Lisa R.; Pollio, David E.; Hudson, Ashley

2011-01-01

The authors explored the use of the Practice Evaluation Knowledge Scale (PEKS) to assess student perception of acquisition and retention of practice evaluation knowledge from an undergraduate research methods class. The authors sampled 2 semesters of undergraduate social work students enrolled in an introductory research methods course.…

Infusing Active Learning into the Research Methods Unit

ERIC Educational Resources Information Center

Bluestone, Cheryl

2007-01-01

The research methods unit of survey psychology classes introduces important concepts of scientific reasoning and fluency, making it an ideal course in which to deliver enhanced curricula. To increase interest and engagement, the author developed an expanded research methods and statistics module to give students the opportunity to explore…

The Effects of Incorporating Web-assisted Learning with Team Teaching in Seventh-grade Science Classes

NASA Astrophysics Data System (ADS)

Jang, Syh-Jong

2006-05-01

Due to the implementation of a 9-year integrated curriculum scheme in Taiwan, research on team teaching and web-based technology appears to be urgent. The purpose of this study was incorporated web-assisted learning with team teaching in seventh-grade science classes. The specific research question concerned student performance and attitudes about the teaching method. Two certified science teachers and four classes of the seventh graders participated in this study. It used a mixed methods design, incorporating both quantitative and qualitative techniques. The main data included students’ scores, questionnaires, teachers’ self-reflections, and the researcher’s interviews with teachers. The results showed that the average final examination scores of students experiencing the experimental teaching method were higher than that of those receiving traditional teaching. The two teaching methods showed significant difference in respect of students’ achievement. The research had limitations because of students’ abilities of data collection, computer use, and discussion, but more than one-half of the students preferred the experimental method to traditional teaching. However, team teachers would encounter the problems of technology ability, time constraints, and entrance examination pressure.

Using Pseudozoids to Teach Classification and Phylogeny to Middle School Students

ERIC Educational Resources Information Center

Freidenberg, Rolfe Jr.; Kelly, Martin G.

2004-01-01

This research compared the outcomes of teaching middle school students two different methods of classification and phylogeny. Two classes were randomly selected and taught using traditional methods of instruction. Three classes were taught using the "Pseudozoid" approach, where students learned to classify, develop and read dichotomous keys, and…

Class Jumping into Academia: Multiple Identities for Counseling Academics

ERIC Educational Resources Information Center

Nelson, Mary Lee; Englar-Carlson, Matt; Tierney, Sandra C.; Hau, Julie M.

2006-01-01

Eleven counseling psychology and counselor education academics were interviewed regarding their experiences of progressing from lower-or lower-middle-class backgrounds to college and, further, to academic positions. Grounded theory method was used for data analysis, and consensual qualitative research methods were used for triangulation and data…

Theoretical and computational foundations of management class simulation

Treesearch

Denie Gerold

1978-01-01

Investigations on complicated, complex, and not well-ordered systems are possible only with the aid of mathematical methods and electronic data processing. Simulation as a method of operations research is particularly suitable for this purpose. Theoretical and computational foundations of management class simulation must be integrated into the planning systems of...

Research Methods Tutor: evaluation of a dialogue-based tutoring system in the classroom.

PubMed

Arnott, Elizabeth; Hastings, Peter; Allbritton, David

2008-08-01

Research Methods Tutor (RMT) is a dialogue-based intelligent tutoring system for use in conjunction with undergraduate psychology research methods courses. RMT includes five topics that correspond to the curriculum of introductory research methods courses: ethics, variables, reliability, validity, and experimental design. We evaluated the effectiveness of the RMT system in the classroom using a nonequivalent control group design. Students in three classes (n = 83) used RMT, and students in two classes (n = 53) did not use RMT. Results indicated that the use of RMT yieldedstrong learning gains of 0.75 standard deviations above classroom instruction alone. Further, the dialogue-based tutoring condition of the system resulted in higher gains than did the textbook-style condition (CAI version) of the system. Future directions for RMT include the addition of new topics and tutoring elements.

The Class Size Debate.

ERIC Educational Resources Information Center

Mishel, Lawrence, Ed.; Rothstein, Richard, Ed.

This collection of papers debates the merits of smaller class sizes and research methods used to evaluate the efficacy of this education reform measure. Four chapters focus on (1) "Understanding the Magnitude and Effect of Class Size on Student Achievement" (Alan B. Krueger), which discusses expenditures per student and economic criterion; (2)…

Instructor Presence for Web-Based Classes

ERIC Educational Resources Information Center

Lear, Janet L.; Isernhagen, Jody C.; LaCost, Barbara A.; King, James W.

2009-01-01

Is instructor presence important in an online distance education class? Yes, said the students of this mixed methods research study. Students (n=241) enrolled in 31 Web-based sections of classes at four Midwestern post-secondary institutions in two different states were surveyed. The survey instrument included both the Rovai Classroom Community…

An Active-Learning Approach to Fostering Understanding of Research Methods in Large Classes

ERIC Educational Resources Information Center

LaCosse, Jennifer; Ainsworth, Sarah E.; Shepherd, Melissa A.; Ent, Michael; Klein, Kelly M.; Holland-Carter, Lauren A.; Moss, Justin H.; Licht, Mark; Licht, Barbara

2017-01-01

The current investigation tested the effectiveness of an online student research project designed to supplement traditional methods (e.g., lectures, discussions, and assigned readings) of teaching research methods in a large-enrollment Introduction to Psychology course. Over the course of the semester, students completed seven assignments, each…

Problem-Based Learning Method: Secondary Education 10th Grade Chemistry Course Mixtures Topic

ERIC Educational Resources Information Center

Üce, Musa; Ates, Ismail

2016-01-01

In this research; aim was determining student achievement by comparing problem-based learning method with teacher-centered traditional method of teaching 10th grade chemistry lesson mixtures topic. Pretest-posttest control group research design is implemented. Research sample includes; two classes of (total of 48 students) an Anatolian High School…

Effect of Higher Order Thinking Laboratory on the Improvement of Critical and Creative Thinking Skills

NASA Astrophysics Data System (ADS)

Setiawan, A.; Malik, A.; Suhandi, A.; Permanasari, A.

2018-02-01

This research was based on the need for improving critical and creative thinking skills of student in the 21 -st century. In this research, we have implemented HOT-Lab model for topic of force. The model was characterized by problem solving and higher order thinking development through real laboratory activities. This research used a quasy experiment method with pre-test post-test control group design. Samples of this research were 60 students of Physics Education Program of Teacher Educatuon Institution in Bandung. The samples were divided into 2 classes, experiment class (HOT-lab model) and control class (verification lab model). Research instruments were essay tests for creative and critical thinking skills measurements. The results revealed that both the models have improved student’s creative and critical thinking skills. However, the improvement of the experiment class was significantly higher than that of the control class, as indicated by the average of normalized gains (N-gain) for critical thinking skills of 60.18 and 29.30 and for creative thinking skills of 70.71 and 29.40, respectively for the experimental class and the control class. In addition, there is no significant correlation between the improvement of critical thinking skills and creative thinking skills in both the classes.

School Principals' Opinions on In-Class Inspections

ERIC Educational Resources Information Center

Kayikci, Kemal; Sahin, Ahmet; Canturk, Gokhan

2016-01-01

The aim of this research is to determine school principals' opinions on the in-class inspections carried out by inspectors of the Ministry of National Education of Turkey (MEB). The study was modeled as a convergent parallel design, one of the mixed methods which combined qualitative and quantitative methods. For data collection, the researchers…

Tapping into Graduate Students' Collaborative Technology Experience in a Research Methods Class: Insights on Teaching Research Methods in a Malaysian and American Setting

ERIC Educational Resources Information Center

Vasquez-Colina, Maria D.; Maslin-Ostrowski, Pat; Baba, Suria

2017-01-01

This case study used qualitative and quantitative methods to investigate challenges of learning and teaching research methods by examining graduate students' use of collaborative technology (i.e., digital tools that enable collaboration and information seeking such as software and social media) and students' computer self-efficacy. We conducted…

Learning Specific Content in Technology Education: Learning Study as a Collaborative Method in Swedish Preschool Class Using Hands-On Material

ERIC Educational Resources Information Center

Kilbrink, Nina; Bjurulf, Veronica; Blomberg, Ingela; Heidkamp, Anja; Hollsten, Ann-Christin

2014-01-01

This article describes the process of a learning study conducted in technology education in a Swedish preschool class. The learning study method used in this study is a collaborative method, where researchers and teachers work together as a team concerning teaching and learning about a specific learning object. The object of learning in this study…

The Relationship between Attention Levels and Class Participation of First-Year Students in Classroom Teaching Departments

ERIC Educational Resources Information Center

Sezer, Adem; Inel, Yusuf; Seçkin, Ahmet Çagdas; Uluçinar, Ufuk

2017-01-01

This study aimed to detect any relationship that may exist between classroom teacher candidates' class participation and their attention levels. The research method was a convergent parallel design, mixing quantitative and qualitative research techniques, and the study group was composed of 21 freshmen studying in the Classroom Teaching Department…

Semicompeting risks in aging research: methods, issues and needs

PubMed Central

Varadhan, Ravi; Xue, Qian-Li; Bandeen-Roche, Karen

2015-01-01

A semicompeting risks problem involves two-types of events: a nonterminal and a terminal event (death). Typically, the nonterminal event is the focus of the study, but the terminal event can preclude the occurrence of the nonterminal event. Semicompeting risks are ubiquitous in studies of aging. Examples of semicompeting risk dyads include: dementia and death, frailty syndrome and death, disability and death, and nursing home placement and death. Semicompeting risk models can be divided into two broad classes: models based only on observables quantities (class O) and those based on potential (latent) failure times (class L). The classical illness-death model belongs to class O. This model is a special case of the multistate models, which has been an active area of methodology development. During the past decade and a half, there has also been a flurry of methodological activity on semicompeting risks based on latent failure times (L models). These advances notwithstanding, the semi-competing risks methodology has not penetrated biomedical research, in general, and gerontological research, in particular. Some possible reasons for this lack of uptake are: the methods are relatively new and sophisticated, conceptual problems associated with potential failure time models are difficult to overcome, paucity of expository articles aimed at educating practitioners, and non-availability of readily usable software. The main goals of this review article are: (i) to describe the major types of semicompeting risks problems arising in aging research, (ii) to provide a brief survey of the semicompeting risks methods, (iii) to suggest appropriate methods for addressing the problems in aging research, (iv) to highlight areas where more work is needed, and (v) to suggest ways to facilitate the uptake of the semicompeting risks methodology by the broader biomedical research community. PMID:24729136

Networking for English Literature Class: Cooperative Learning in Chinese Context

ERIC Educational Resources Information Center

Li, Huiyin

2017-01-01

This action research was conducted to investigate the efficacy of networking, an adjusted cooperative learning method employed in an English literature class for non-English majors in China. Questionnaire was administered online anonymously to college students after a 14-week cooperative learning in literature class in a Chinese university, aiming…

Impact of Class Lecture Webcasting on Attendance and Learning

ERIC Educational Resources Information Center

Traphagan, Tomoko; Kucsera, John V.; Kishi, Kyoko

2010-01-01

The present study investigated the impact of class lecture webcasts on students' attendance and learning. The research design employed four data collection methods in two class sections--one with webcast access and another without--of the same course taught by the same instructors. Results indicated the following four major findings. (1) The…

Multidisciplinary Design Techniques Applied to Conceptual Aerospace Vehicle Design. Ph.D. Thesis Final Technical Report

NASA Technical Reports Server (NTRS)

Olds, John Robert; Walberg, Gerald D.

1993-01-01

Multidisciplinary design optimization (MDO) is an emerging discipline within aerospace engineering. Its goal is to bring structure and efficiency to the complex design process associated with advanced aerospace launch vehicles. Aerospace vehicles generally require input from a variety of traditional aerospace disciplines - aerodynamics, structures, performance, etc. As such, traditional optimization methods cannot always be applied. Several multidisciplinary techniques and methods were proposed as potentially applicable to this class of design problem. Among the candidate options are calculus-based (or gradient-based) optimization schemes and parametric schemes based on design of experiments theory. A brief overview of several applicable multidisciplinary design optimization methods is included. Methods from the calculus-based class and the parametric class are reviewed, but the research application reported focuses on methods from the parametric class. A vehicle of current interest was chosen as a test application for this research. The rocket-based combined-cycle (RBCC) single-stage-to-orbit (SSTO) launch vehicle combines elements of rocket and airbreathing propulsion in an attempt to produce an attractive option for launching medium sized payloads into low earth orbit. The RBCC SSTO presents a particularly difficult problem for traditional one-variable-at-a-time optimization methods because of the lack of an adequate experience base and the highly coupled nature of the design variables. MDO, however, with it's structured approach to design, is well suited to this problem. The result of the application of Taguchi methods, central composite designs, and response surface methods to the design optimization of the RBCC SSTO are presented. Attention is given to the aspect of Taguchi methods that attempts to locate a 'robust' design - that is, a design that is least sensitive to uncontrollable influences on the design. Near-optimum minimum dry weight solutions are determined for the vehicle. A summary and evaluation of the various parametric MDO methods employed in the research are included. Recommendations for additional research are provided.

Writing Our Way into Shared Understanding: Collaborative Autobiographical Writing in the Qualitative Methods Class

ERIC Educational Resources Information Center

Lapadat, Judith C.

2009-01-01

From her experience as an instructor, the author finds that it is valuable to engage graduate students in conducting a study within their qualitative methods course. In this article, the author discusses how she used a collaborative autobiographical research approach. Class members generate autobiographical writing to be shared with the group, and…

Application of expert-notice dialogue (END) method to assess students’ science communication ability on biology

NASA Astrophysics Data System (ADS)

Sriyati, S.; Amelia, D. N.; Soniyana, G. T.

2018-05-01

Student’s science communication ability can be assessed by the Expert-Notice Dialogue (END) method which focusing on verbal explanations using graphs or images as a tool. This study aims to apply the END method to assess students’ science communication ability. The study was conducted in two high schools with each sample of one class at each school (A and B). The number of experts in class A is 8 students and 7 in class B, the number of notice in class A 24 students and 30 in class B. The material chosen for explanation by expert is Ecosystem in class A and plant classification in class B. Research instruments are rubric of science communication ability, observation rubric, notice concept test and notice questionnaire. The implementation recorded with a video camera and then transcribed based on rubric science communication ability. The results showed that the average of science communication ability in class A and B was 60% and 61.8%, respectively, in enough categories. Mastery of the notice concept is in good category with 79.10 averages in class A and 94.64 in class B. Through the questionnaire notice it is known that the END method generally helps notice in understanding the concept.

Class attendance, peer similarity, and academic performance in a large field study

PubMed Central

Bjerre-Nielsen, Andreas; Mones, Enys; Lehmann, Sune; Lassen, David Dreyer

2017-01-01

Identifying the factors that determine academic performance is an essential part of educational research. Existing research indicates that class attendance is a useful predictor of subsequent course achievements. The majority of the literature is, however, based on surveys and self-reports, methods which have well-known systematic biases that lead to limitations on conclusions and generalizability as well as being costly to implement. Here we propose a novel method for measuring class attendance that overcomes these limitations by using location and bluetooth data collected from smartphone sensors. Based on measured attendance data of nearly 1,000 undergraduate students, we demonstrate that early and consistent class attendance strongly correlates with academic performance. In addition, our novel dataset allows us to determine that attendance among social peers was substantially correlated (>0.5), suggesting either an important peer effect or homophily with respect to attendance. PMID:29117190

Class attendance, peer similarity, and academic performance in a large field study.

PubMed

Kassarnig, Valentin; Bjerre-Nielsen, Andreas; Mones, Enys; Lehmann, Sune; Lassen, David Dreyer

2017-01-01

Identifying the factors that determine academic performance is an essential part of educational research. Existing research indicates that class attendance is a useful predictor of subsequent course achievements. The majority of the literature is, however, based on surveys and self-reports, methods which have well-known systematic biases that lead to limitations on conclusions and generalizability as well as being costly to implement. Here we propose a novel method for measuring class attendance that overcomes these limitations by using location and bluetooth data collected from smartphone sensors. Based on measured attendance data of nearly 1,000 undergraduate students, we demonstrate that early and consistent class attendance strongly correlates with academic performance. In addition, our novel dataset allows us to determine that attendance among social peers was substantially correlated (>0.5), suggesting either an important peer effect or homophily with respect to attendance.

Evaluation of Bullying Events among Secondary Education Students in Terms of School Type, Gender and Class Level

ERIC Educational Resources Information Center

Yerlikaya, Ibrahim

2014-01-01

This paper examines whether the intensity and amount of bullying and/or being bullied among secondary education students vary significantly according to gender, school type and class levels. The scanning method was used in the research. The research sample consisted of 213 students, 96 female and 117 male, who were enrolled in secondary education…

The Teaching of Writing: Illinois Teachers Report on Research & Practices. Sentence Combining as a Composition Technique.

ERIC Educational Resources Information Center

Matthews, Dorothy, Ed.

1978-01-01

The ten articles in this journal report on research and practice in the teaching of writing. Topics covered include sentence combining as a composition technique, peer evaluation in a technical writing class, a plan for teaching paragraph construction, the use of literary humor in a writing class, methods for setting the scene, how students view…

An Analysis of Class II Supplies Requisitions in the Korean Army’s Organizational Supply

DTIC Science & Technology

2009-03-26

five methods for qualitative research : Case study , Ethnography , 45 Phenomenological study , Grounded theory , and...Approaches .. 42 Table 9 Five Qualitative Research Methods ..................................................................... 45 Table 10 Six...Content analysis. Table 9 provides a brief overview of the five methods . Table 9 Five Qualitative

An Introduction to the Work (and Play) of Writing Studies Research Methods through Micro Study

ERIC Educational Resources Information Center

Aiken, Suzan; Beard, Emily J.; McClure, David R. E.; Nickoson, Lee

2013-01-01

This article addresses the benefits and challenges involved with assigning small-scale research projects in one research methods class as means of introducing new(er) researchers to the work and rewards of empirical writing research. The following discussion does not claim to offer examples of cutting-edge methodological work. That is not our goal…

The Effectiveness of Using Interactive Multimedia in Improving the Concept of Fashion Design and Its Application in The Making of Digital Fashion Design

NASA Astrophysics Data System (ADS)

Wiana, W.

2018-02-01

This research is related to the effort to design a more representative learning system to improve the learning result of digital fashion design, through the development of interactive multimedia based on motion graphic. This research is aimed to know the effect of interactive multimedia application based on motion graphic to increase the mastery of the concept and skill of the students to making fashion designing in digital format. The research method used is quasi experiment with research design of Non-equivalent Control Group Design. The lectures are conducted in two different classes, namely class A as the Experimental Class and class B as the Control Class. From the calculation result after interpreted using Normalize Gain, there is an increase of higher learning result in student with interactive learning based on motion graphic, compared with student achievement on conventional learning. In this research, interactive multimedia learning based on motion graphic is effective toward the improvement of student learning in concept mastering indicator and on the aspect of making fashion design in digital format.

Opportunities Gained and Lost: Perceptions and Experiences of Sixth Grade Students Enrolled in a Title I Reading Class

ERIC Educational Resources Information Center

Donalson, Kathleen

2008-01-01

The purpose of this dissertation was to explore the perceptions and experiences of one class of sixth grade students enrolled in a Title I supplemental reading class. Qualitative research methods included observations, interviews, archived data, and Miscue Analysis. I examined the data through a Vygotsky constructivist perspective to provide…

An Analysis of the Perceptions and Resources of Large University Classes

PubMed Central

Cash, Ceilidh Barlow; Letargo, Jessa; Graether, Steffen P.; Jacobs, Shoshanah R.

2017-01-01

Large class learning is a reality that is not exclusive to the first-year experience at midsized, comprehensive universities; upper-year courses have similarly high enrollment, with many class sizes greater than 200 students. Research into the efficacy and deficiencies of large undergraduate classes has been ongoing for more than 100 years, with most research associating large classes with weak student engagement, decreased depth of learning, and ineffective interactions. This study used a multidimensional research approach to survey student and instructor perceptions of large biology classes and to characterize the courses offered by a department according to resources and course structure using a categorical principal components analysis. Both student and instructor survey results indicated that a large class begins around 240 students. Large classes were identified as impersonal and classified using extrinsic qualifiers; however, students did identify techniques that made the classes feel smaller. In addition to the qualitative survey, we also attempted to quantify courses by collecting data from course outlines and analyzed the data using categorical principal component analysis. The analysis maps institutional change in resource allocation and teaching structure from 2010 through 2014 and validates the use of categorical principal components analysis in educational research. We examine what perceptions and factors are involved in a large class that is perceived to feel small. Our analysis suggests that it is not the addition of resources or difference in the lecturing method, but it is the instructor that determines whether a large class can feel small. PMID:28495937

Hierarchical Ensemble Methods for Protein Function Prediction

PubMed Central

2014-01-01

Protein function prediction is a complex multiclass multilabel classification problem, characterized by multiple issues such as the incompleteness of the available annotations, the integration of multiple sources of high dimensional biomolecular data, the unbalance of several functional classes, and the difficulty of univocally determining negative examples. Moreover, the hierarchical relationships between functional classes that characterize both the Gene Ontology and FunCat taxonomies motivate the development of hierarchy-aware prediction methods that showed significantly better performances than hierarchical-unaware “flat” prediction methods. In this paper, we provide a comprehensive review of hierarchical methods for protein function prediction based on ensembles of learning machines. According to this general approach, a separate learning machine is trained to learn a specific functional term and then the resulting predictions are assembled in a “consensus” ensemble decision, taking into account the hierarchical relationships between classes. The main hierarchical ensemble methods proposed in the literature are discussed in the context of existing computational methods for protein function prediction, highlighting their characteristics, advantages, and limitations. Open problems of this exciting research area of computational biology are finally considered, outlining novel perspectives for future research. PMID:25937954

Do Teachers Make Decisions Like Firefighters? Applying Naturalistic Decision-Making Methods to Teachers' In-Class Decision Making in Mathematics

ERIC Educational Resources Information Center

Jazby, Dan

2014-01-01

Research into human decision making (DM) processes from outside of education paint a different picture of DM than current DM models in education. This pilot study assesses the use of critical decision method (CDM)--developed from observations of firefighters' DM -- in the context of primary mathematics teachers' in-class DM. Preliminary results…

Analysis of the Possibilities for Discussing Questions of Global Justice in Geography Classes on the Use of Methods of Empirical Social Research When Analyzing the Teaching of Geography in Class

ERIC Educational Resources Information Center

Applis, Stefan

2015-01-01

This study examines students' orientations with regard to questions on the implementation of justice in production structures of the global textile industry. The students worked with the Mystery Method from the Thinking Through Geography approach by David Leat and with Lawrence Kohlberg's Method of Dilemma Discussion. During this process, the…

Comparison of transect sampling and object-oriented image classification methods of urbanizing catchments

NASA Astrophysics Data System (ADS)

Yang, Y.; Tenenbaum, D. E.

2009-12-01

The process of urbanization has major effects on both human and natural systems. In order to monitor these changes and better understand how urban ecological systems work, urban spatial structure and the variation needs to be first quantified at a fine scale. Because the land-use and land-cover (LULC) in urbanizing areas is highly heterogeneous, the classification of urbanizing environments is the most challenging field in remote sensing. Although a pixel-based method is a common way to do classification, the results are not good enough for many research objectives which require more accurate classification data in fine scales. Transect sampling and object-oriented classification methods are more appropriate for urbanizing areas. Tenenbaum used a transect sampling method using a computer-based facility within a widely available commercial GIS in the Glyndon Catchment and the Upper Baismans Run Catchment, Baltimore, Maryland. It was a two-tiered classification system, including a primary level (which includes 7 classes) and a secondary level (which includes 37 categories). The statistical information of LULC was collected. W. Zhou applied an object-oriented method at the parcel level in Gwynn’s Falls Watershed which includes the two previously mentioned catchments and six classes were extracted. The two urbanizing catchments are located in greater Baltimore, Maryland and drain into Chesapeake Bay. In this research, the two different methods are compared for 6 classes (woody, herbaceous, water, ground, pavement and structure). The comparison method uses the segments in the transect method to extract LULC information from the results of the object-oriented method. Classification results were compared in order to evaluate the difference between the two methods. The overall proportions of LULC classes from the two studies show that there is overestimation of structures in the object-oriented method. For the other five classes, the results from the two methods are similar, except for a difference in the proportions of the woody class. The segment to segment comparison shows that the resolution of the light detection and ranging (LIDAR) data used in the object-oriented method does affect the accuracy of the classification. Shadows of trees and structures are still a big problem in the object-oriented method. For classes that make up a small proportion of the catchments, such as water, neither method was capable of detecting them.

Social Gender in the Pictures Drawn by Students about Physical Education Class

ERIC Educational Resources Information Center

Temel, Cenk; Güllü, Mehmet

2016-01-01

The current study aimed to analyze the social gender perception in physical education classes in Turkey through the pictures drawn by students about the physical education class. The document analysis technique, which is a qualitative research method, was used in the study. In the light of this aim, the pictures drawn by a total of 394 students…

I Can Make a Scientific Research: A Course about Scientific Research Methods, in Which Learning Management System (LMS) Is Used

ERIC Educational Resources Information Center

Özden, Bülent

2016-01-01

The purpose of this study was to determine the changes in the perception of teacher candidates towards scientific research process and their self-efficacy in this process, during Scientific Research Methods course that has been conducted using "Learning Management System" based on out-of-class learning activities. Being designed as a…

Assessing the development & implementation of a student-centered, "flipped" secondary physics curriculum in which IO-lab digital sensors are issued to students on a 1-to-1 basis

NASA Astrophysics Data System (ADS)

Cunnings, Christopher P.

This teacher-driven, action research dissertation study chronicles the development and implementation of a transformative, two-pronged, student-centered secondary physics education curriculum. From an instructional perspective, the curriculum was situated in the "flipped classroom" teaching approach, which minimizes in-class lecturing and instead predicates classroom learning on collaborative, hands-on, and activity-based lessons. Additionally, all students were issued IO-Lab digital sensors--learning tools developed by professors at the University of Illinois at Urbana-Champaign capable of collecting a vast array of real-time physical data-- on a 1-to-1, 24/7 basis for both in-class and at-home use. In-class, students participated in predominantly activity-based learning, with a sizeable portion of in-class activities incorporating IO-Labs for experimental data collection. Outside of class, students designed real-world research projects using their IO-Labs to study the physics underlying their everyday experiences, and all projects were video recorded, uploaded to YouTube, and then watched in-class to simulate a "mock science conference" in which students provided constructive feedback to each other on their experimental methods and results. The synergistic blending of a) flipped physics instruction, and b) perpetual access to state-of-the-art laboratory equipment, the two prongs forming the basis of this research study, inspired the curriculum title "Flipped IO-Lab," or "F-IO" curriculum. This dissertation study will provide a comprehensive assessment of the benefits and challenges that emerged while designing and implementing the F-IO curriculum from a practitioner's perspective. The assessment of the F-IO curriculum came about through a mixed-methods research methodology during kinematics and dynamics instruction. Specifically, this study includes "Force Concept Inventory" (FCI) pretest/posttest analysis to gauge changes in students' conceptual understanding of physics, as well as "Colorado Learning Attitudes about Science Survey" (CLASS) pre/post data to monitor students' shifts in scientific attitudes throughout the study. The aforementioned pre/post data will be triangulated with field notes and web-based "course opinion survey questions" to provide a comprehensive view of the F-IO curriculum. Significant analysis of the development of the course, as well as the relevant benefits, challenges, and considerations for "flipping" physics instruction, is also contained in this dissertation. The results of the research study include an FCI normalized gain of 0.74 (a "high gain" course), which indicates significant improvement in students' conceptual understanding of Newtonian Mechanics. Additionally, CLASS results indicate significant shifts in student attitudes from generally novice initial scientific perspectives to predominantly expert scientific perspectives by the conclusion of the research study. Of particular interest was students' acknowledgement and appreciation of the real-world implications of what they learned in physics class, as evidenced by CLASS survey data, real-world video challenge projects, and student comments before, during, and after class sessions. However, even despite all of the positive results that emerged throughout the study, a variety of challenges and concerns also materialized with regards to the utilization of F-IO curriculum principles, with the most pronounced being a subset of students whom remained unwilling to embrace web-based and/or flipped instructional teaching methods, preferring instead a more traditional instructional approach. The results and implications of this research study may not only be of interest to physics instructors, but also STEM educators, secondary curriculum designers, digital learning tool designers and researchers, and educational researchers.

Validation of Diagnostic Measures Based on Latent Class Analysis: A Step Forward in Response Bias Research

ERIC Educational Resources Information Center

Thomas, Michael L.; Lanyon, Richard I.; Millsap, Roger E.

2009-01-01

The use of criterion group validation is hindered by the difficulty of classifying individuals on latent constructs. Latent class analysis (LCA) is a method that can be used for determining the validity of scales meant to assess latent constructs without such a priori classifications. The authors used this method to examine the ability of the L…

Scaffolding Learning for Practitioner-Scholars: The Philosophy and Design of a Qualitative Research Methods Course

ERIC Educational Resources Information Center

Slayton, Julie; Samkian, Artineh

2017-01-01

We present our approach to a qualitative research methods course to prepare practitioner-scholars for their dissertation and independent research. We explain how an instructor's guide provides consistency and rigor, and in-class activities to scaffold learning, and helps faculty connect the content to students' out-of-school lives. We explain how…

Writing Cover Letters That Address Instructor Feedback Improves Final Papers in a Research Methods Course

ERIC Educational Resources Information Center

Daniel, Frances; Gaze, Catherine M.; Braasch, Jason L. G.

2015-01-01

We examined how writing cover letters to the instructor influenced final papers in research methods courses. After receiving instructor feedback on drafts of each section of an American Psychological Association style research paper throughout the semester, students in two classes wrote cover letters to the instructor explaining how the instructor…

The effect of reading assignments in guided inquiry learning on students’ critical thinking skills

NASA Astrophysics Data System (ADS)

Syarkowi, A.

2018-05-01

The purpose of this study was to determine the effect of reading assignment in guided inquiry learning on senior high school students’ critical thinking skills. The research method which was used in this research was quasi-experiment research method with reading task as the treatment. Topic of inquiry process was Kirchhoff law. The instrument was used for this research was 25 multiple choice interpretive exercises with justification. The multiple choice test was divided on 3 categories such as involve basic clarification, the bases for a decision and inference skills. The result of significance test proved the improvement of students’ critical thinking skills of experiment class was significantly higher when compared with the control class, so it could be concluded that reading assignment can improve students’ critical thinking skills.

The effect of using graphic organizers in the teaching of standard biology

NASA Astrophysics Data System (ADS)

Pepper, Wade Louis, Jr.

This study was conducted to determine if the use of graphic organizers in the teaching of standard biology would increase student achievement, involvement and quality of activities. The subjects were 10th grade standard biology students in a large southern inner city high school. The study was conducted over a six-week period in an instructional setting using action research as the investigative format. After calculation of the homogeneity between classes, random selection was used to determine the graphic organizer class and the control class. The graphic organizer class was taught unit material through a variety of instructional methods along with the use of teacher generated graphic organizers. The control class was taught the same unit material using the same instructional methods, but without the use of graphic organizers. Data for the study were gathered from in-class written assignments, teacher-generated tests and text-generated tests, and rubric scores of an out-of-class written assignment and project. Also, data were gathered from student reactions, comments, observations and a teacher's research journal. Results were analyzed using descriptive statistics and qualitative interpretation. By comparing statistical results, it was determined that the use of graphic organizers did not make a statistically significant difference in the understanding of biological concepts and retention of factual information. Furthermore, the use of graphic organizers did not make a significant difference in motivating students to fulfill all class assignments with quality efforts and products. However, based upon student reactions and comments along with observations by the researcher, graphic organizers were viewed by the students as a favorable and helpful instructional tool. In lieu of statistical results, student gains from instructional activities using graphic organizers were positive and merit the continuation of their use as an instructional tool.

Exploring Students' Articulation of Value in a Social Research Methods Class: Towards a Phenomenography of Value Making

ERIC Educational Resources Information Center

Guglietti, Maria

2015-01-01

This study describes journalism students' value making of social research methods, such as sampling, data gathering strategies and quantitative and qualitative data analysis, by using a mixed-­method approach to analyze 260 written reflection assignments. In their reflections, 26 student participants assessed the value of their new knowledge of…

Research of Face Recognition with Fisher Linear Discriminant

NASA Astrophysics Data System (ADS)

Rahim, R.; Afriliansyah, T.; Winata, H.; Nofriansyah, D.; Ratnadewi; Aryza, S.

2018-01-01

Face identification systems are developing rapidly, and these developments drive the advancement of biometric-based identification systems that have high accuracy. However, to develop a good face recognition system and to have high accuracy is something that’s hard to find. Human faces have diverse expressions and attribute changes such as eyeglasses, mustache, beard and others. Fisher Linear Discriminant (FLD) is a class-specific method that distinguishes facial image images into classes and also creates distance between classes and intra classes so as to produce better classification.

Research of facial feature extraction based on MMC

NASA Astrophysics Data System (ADS)

Xue, Donglin; Zhao, Jiufen; Tang, Qinhong; Shi, Shaokun

2017-07-01

Based on the maximum margin criterion (MMC), a new algorithm of statistically uncorrelated optimal discriminant vectors and a new algorithm of orthogonal optimal discriminant vectors for feature extraction were proposed. The purpose of the maximum margin criterion is to maximize the inter-class scatter while simultaneously minimizing the intra-class scatter after the projection. Compared with original MMC method and principal component analysis (PCA) method, the proposed methods are better in terms of reducing or eliminating the statistically correlation between features and improving recognition rate. The experiment results on Olivetti Research Laboratory (ORL) face database shows that the new feature extraction method of statistically uncorrelated maximum margin criterion (SUMMC) are better in terms of recognition rate and stability. Besides, the relations between maximum margin criterion and Fisher criterion for feature extraction were revealed.

Cell Phones Transform a Science Methods Course

ERIC Educational Resources Information Center

Madden, Lauren

2012-01-01

A science methods instructor intentionally encouraged cell phone use for class work to discover how cell phones can be used as research tools to enhance the content and engage the students. The anecdotal evidence suggested that students who used their smartphones as research tools experienced the science content and pedagogical information…

The efficacy of focus group discussion in teaching ESP speaking skill for prospective vocational school teacher

NASA Astrophysics Data System (ADS)

Nurmasitah, Sita; Faridi, Abdurrachman; Utomo, Aryo Baskoro; Astuti, Pudji

2018-03-01

The aims of the study were to implement the focus group discussion in teaching English for Specific Purposes (ESP) speaking skill for prospective Vocational School teacher and also to find out its effectiveness in improving their English speaking skill in ESP course. Quasi-experimental design was employed in this research. Thirty students of Family Welfare Vocational Education Study Program who were taking ESP course, were divided into two classes; experimental and control class. The research data were collected through interview, observation and the students' speaking assessment. The result showed that the implementation of focus group discussion method in the experimental class effectively increased the students' speaking skill compared to the control class.

Spurious Latent Class Problem in the Mixed Rasch Model: A Comparison of Three Maximum Likelihood Estimation Methods under Different Ability Distributions

ERIC Educational Resources Information Center

Sen, Sedat

2018-01-01

Recent research has shown that over-extraction of latent classes can be observed in the Bayesian estimation of the mixed Rasch model when the distribution of ability is non-normal. This study examined the effect of non-normal ability distributions on the number of latent classes in the mixed Rasch model when estimated with maximum likelihood…

Effects of an Inverted Instructional Delivery Model on Achievement of Ninth-Grade Physical Science Honors Students

NASA Astrophysics Data System (ADS)

Howell, Donna

This mixed-methods action research study was designed to assess the achievement of ninth-grade Physical Science Honors students by analysis of pre and posttest data. In addition, perceptual data from students, parents, and the researcher were collected to form a complete picture of the flipped lecture format versus the traditional lecture format. The researcher utilized a 4MAT learning cycle in two Physical Science Honors classes. One of these classes was traditionally delivered with lecture-type activities taking place inside the classroom and homework-type activities taking place at home; the other inverted, or flipped, delivered with lecture-type activities taking place outside the classroom and homework-type activities taking place inside the classroom. Existing unit pre and posttests for both classes were analyzed for differences in academic achievement. At the completion of the units, the flipped class students and parents were surveyed, and student focus groups were convened to ascertain their perceptions of the flipped classroom delivery model. Statistical analysis of posttest data revealed that there is no significant difference between the traditional lecture delivery format and the flipped delivery format. Analysis of perceptual data revealed six themes that must be considered when deciding to flip the classroom: how to hold students accountable for viewing the at-home videos, accessibility of students to the required technology, technical considerations relating to the video production, comprehension of the material both during and after viewing the videos, pedagogy of the overall flipped method, and preference for the flipped method overall. Findings revealed that students, parents, and the researcher all had a preference for the flipped class format, provided the above issues are addressed. The flipped class format encourages students to become more responsible for their learning, and, in addition, students reported that the hands-on inquiry activities done in class aided them in learning the subject matter. It is recommended, however, that before instructors decide to flip the classroom, they ensure that all students have access to needed technology, that there is a plan in place for ensuring that the students actually view the assigned videos, that they have a way to create the videos and ensure adequate quality, and that some discussion is held in class after each assigned video to ensure comprehension of the material.

Argumentation in Science Class: Its Planning, Practice, and Effect on Student Motivation

ERIC Educational Resources Information Center

Taneja, Anju

2016-01-01

Studies have shown an association between argumentative discourse in science class, better understanding of science concepts, and improved academic performance. However, there is lack of research on how argumentation can increase student motivation. This mixed methods concurrent nested study uses Bandura's construct of motivation and concepts of…

Aiding Participation and Engagement in a Blended Learning Environment

ERIC Educational Resources Information Center

Alrushiedat, Nimer; Olfman, Lorne

2013-01-01

This research was conducted as a field experiment that explored the potential benefits of anchoring in asynchronous online discussions for business statistics classes required for information systems majors. These classes are usually taught using traditional methods with emphasis on lecturing, knowledge reproduction, and treatment of students as…

A Typology of Ethnographic Scales for Virtual Worlds

NASA Astrophysics Data System (ADS)

Boellstorff, Tom

This chapter outlines a typology of genres of ethnographic research with regard to virtual worlds, informed by extensive research the author has completed both in Second Life and in Indonesia. It begins by identifying four confusions about virtual worlds: they are not games, they need not be graphical or even visual, they are not mass media, and they need not be defined in terms of escapist role-playing. A three-part typology of methods for ethnographic research in virtual worlds focuses on the relationship between research design and ethnographic scale. One class of methods for researching virtual worlds with regard to ethnographic scale explores interfaces between virtual worlds and the actual world, whereas a second examines interfaces between two or more virtual worlds. The third class involves studying a single virtual world in its own terms. Recognizing that all three approaches have merit for particular research purposes, ethnography of virtual worlds can be a vibrant field of research, contributing to central debates about human selfhood and sociality.

Social Class Status and Suicide Characteristics: A Survey among Patients Who Attempted Suicide in Isfahan

PubMed Central

Keyvanara, Mahmoud; Mousavi, Seyed Ghafour; Karami, Zahra

2013-01-01

Introduction: Suicide is one of the most prominent problems in health care system in current Iran. It could be impacted by various factors such as social, economic, individual and so on. Researchers show that socio-economic factors and suicide has significantly related. The people in low social class may more engage with social problems than higher social class. They may confront to problems such as crime, violence, unemployment, financial hardship, population density, disorder personality, etc. However, these difficulties could be resulted from relationship of inequality socio-economic and mental or physical health. This research attempted to examine social class status and its relationship with parts of suicide characteristics. Methods: This study applied a descriptive approach. In the cross-sectional research 179 patients who attempted suicide and admitted to the toxicology ward of Nour hospital and to the burning ward of Imam Mousa Kazem hospital, in Isfahan, during a period of 6 months in 2010 were recruited. The randomize sampling for patients admitted to toxicology ward and census for burning ward are applied. Data collected through a questionnaire which Chronbagh coefficient’s alpha was calculated (r= 0/72). Data was analyzed in SPSS software. Findings: The data showed that the majority of patients who attempted suicide were young married women who had diploma and under diploma of level education. They were housewife, engaged in education and unemployment. Finding showed that there are no significant relationships between sex, age, marital status, frequency of attempted suicide and their social class. But there is significant relationship between methods of suicide and social class. Similarly, there are significant relationship between social factors (i.e. family friction, betrothal, unemployment, financial problems and so on) effected on suicide and their social classes. Parts of findings were supported by previous studies. PMID:23687462

Of Mice and Meth: A New Media-Based Neuropsychopharmacology Lab to Teach Research Methods

ERIC Educational Resources Information Center

Hatch, Daniel L.; Zschau, Tony; Hays, Arthur; McAllister, Kristin; Harrison, Michelle; Cate, Kelly L.; Shanks, Ryan A.; Lloyd, Steven A.

2014-01-01

This article describes an innovative neuropsychopharmacology laboratory that can be incorporated into any research methods class. The lab consists of a set of interconnected modules centered on observations of methamphetamine-induced behavioral changes in mice and is designed to provide students with an opportunity to acquire basic skills…

Using Reciprocal Peer Review to Help Graduate Students Develop Scholarly Writing Skills

ERIC Educational Resources Information Center

Palmer, Betsy; Major, Claire Howell

2008-01-01

We developed an innovative instructional method to actively engage students in writing and critiquing scholarly work. We tested the effectiveness of this pedagogy using a mixed methods research design. Compared to control group peers, students in the experimental classes perceived gains in their own writing, research ability, and motivation to…

The Effect of the United States Naval Academy Foundation Preparatory Program on the Performance of Naval Academy Midshipmen

DTIC Science & Technology

2004-12-01

final two sections cover the research methods to analyze the performance of USNA Midshipmen. The United States Naval Academy’s Class of 2007 includes... Research Methods for Organizational Studies. Mahwah, New Jersey: Lawrence Erlbaum Associates. SECNAV INSTRUCTION 1531.2A. (1996). U.S. Naval...METHODOLOGY ..............................3 1. Research Questions ............................3 2. Scope .........................................4 3

Development of Implicit Methods in CFD NASA Ames Research Center 1970's - 1980's

NASA Technical Reports Server (NTRS)

Pulliam, Thomas H.

2010-01-01

The focus here is on the early development (mid 1970's-1980's) at NASA Ames Research Center of implicit methods in Computational Fluid Dynamics (CFD). A class of implicit finite difference schemes of the Beam and Warming approximate factorization type will be addressed. The emphasis will be on the Euler equations. A review of material pertinent to the solution of the Euler equations within the framework of implicit methods will be presented. The eigensystem of the equations will be used extensively in developing a framework for various methods applied to the Euler equations. The development and analysis of various aspects of this class of schemes will be given along with the motivations behind many of the choices. Various acceleration and efficiency modifications such as matrix reduction, diagonalization and flux split schemes will be presented.

An exploration for research-oriented teaching model in biology teaching.

PubMed

Xing, Wanjin; Mo, Morigen; Su, Huimin

2014-07-01

Training innovative talents, as one of the major aims for Chinese universities, needs to reform the traditional teaching methods. The research-oriented teaching method has been introduced and its connotation and significance for Chinese university teaching have been discussed for years. However, few practical teaching methods for routine class teaching were proposed. In this paper, a comprehensive and concrete research-oriented teaching model with contents of reference value and evaluation method for class teaching was proposed based on the current teacher-guiding teaching model in China. We proposed that the research-oriented teaching model should include at least seven aspects on: (1) telling the scientific history for the skills to find out scientific questions; (2) replaying the experiments for the skills to solve scientific problems; (3) analyzing experimental data for learning how to draw a conclusion; (4) designing virtual experiments for learning how to construct a proposal; (5) teaching the lesson as the detectives solve the crime for learning the logic in scientific exploration; (6) guiding students how to read and consult the relative references; (7) teaching students differently according to their aptitude and learning ability. In addition, we also discussed how to evaluate the effects of the research-oriented teaching model in examination.

A Demonstration-Research Project in Curriculum and Methods of Instruction for Elementary Level Mentally Retarded Children. Final Report.

ERIC Educational Resources Information Center

Goldstein, Herbert; And Others

The 2-year demonstration and research project involved 17 experimental (E) and 7 control (C) special class teachers of mentally retarded students (average CA 9-3 and 9-7, average IQ 68 and 65, respectively). All E teachers were given inservice training in a specific teaching curriculum (Social Learning Curriculum) and method (inductive method),…

Research on Trial: A Pedagogy for Research Methods Instruction.

ERIC Educational Resources Information Center

Britt, Michael A.

The Research on Trial technique is designed to enable students to think critically about psychological research, to help them apply what they have learned in class in an in-depth way to this research, and to create a classroom environment in which research issues are debated. The technique employs a courtroom trial role-play, with students…

SYNTHESIS AND APPLICATION OF A NEW CLASS OF STABILIZED NANOSCALE IRON PARTICLES FOR RAPID DESTRUCTION OF CHLORINATED HYDROCARBONS IN SOIL AND GROUNDWATER

EPA Science Inventory

In accord with the research objectives, this project achieved the following major results:

1. Developed a new method for synthesizing a new class of starch- or carboxymethyl cellulose stabilized ZVI nanoparticles of controllable size and transportability. ...

2. Introducing Science Experiments to Rote-Learning Classes in Pakistani Middle Schools

   ERIC Educational Resources Information Center

   Pell, Anthony William; Iqbal, Hafiz Muhammad; Sohail, Shahida

   2010-01-01

   A mixed-methods sequential research design has been used to test the effect of introducing teacher science demonstrations to a traditional book-learning sample of 384 Grade 7 boys and girls from five schools in Lahore, Pakistan. In the quasi-experimental quantitative study, the eight classes of comparable ability were designated either…

3. Introducing the Process into Tertiary Level ESP Writing Classes.

   ERIC Educational Resources Information Center

   Rea, Simon; Brewster, Eric

   1993-01-01

   Insights from first- and second-language learning research have been used to help prepare a process-based writing course for large nonnative speaker classes at a commercial and technical university in Austria. Methods used during the 21-hour course are described, including think-aloud writing tapes. (Contains 32 references.) (Author/LB)

4. Politics, Religion and Morals: The Symbolism of Public Schooling for the Urban Middle-Class Identity

   ERIC Educational Resources Information Center

   Rowe, Emma E.

   2016-01-01

   Research points to sections of the middle-class repopulating the "ordinary" urban public school and whilst there are key differences in how they are navigating public school choices, from "seeking a critical mass" to resisting traditional methods of choice and going "against-the-grain", or collectively campaigning for…

5. ORAL DRILLS AND WRITING IMPROVEMENT IN THE FOURTH GRADE.

   ERIC Educational Resources Information Center

   MILLER, BARBARA D.; NEY, JAMES W.

   BELIEVING FORMAL WRITTEN ENGLISH TO BE A "FOREIGN LANGUAGE" TO MOST AMERICAN PUBLIC SCHOOL STUDENTS, RESEARCHERS USED THE AUDIO-LINGUAL METHOD OF FOREIGN LANGUAGE INSTRUCTION TO PROMOTE WRITING IMPROVEMENT IN FOURTH-GRADERS. TWO RANDOMLY-SELECTED CLASSES OF STUDENTS OF AVERAGE ABILITY COMPOSED THE STUDY POPULATION--ONE CLASS FOR THE EXPERIMENT,…

6. Enhancing students' science literacy using solar cell learning multimedia containing science and nano technology

   NASA Astrophysics Data System (ADS)

   Eliyawati, Sunarya, Yayan; Mudzakir, Ahmad

   2017-05-01

   This research attempts to enhance students' science literacy in the aspects of students' science content, application context, process, and students' attitude using solar cell learning multimedia containing science and nano technology. The quasi-experimental method with pre-post test design was used to achieve these objectives. Seventy-two students of class XII at a high school were employed as research's subject. Thirty-six students were in control class and another thirty-six were in experiment class. Variance test (t-test) was performed on the average level of 95% to identify the differences of students' science literacy in both classes. As the result, there were significant different of learning outcomes between experiment class and control class. Almost half of students (41.67%) in experiment class are categorized as high. Therefore, the learning using solar cell learning multimedia can improve students' science literacy, especially in the students' science content, application context, and process aspects with n-gain(%) 59.19 (medium), 63.04 (medium), and 52.98 (medium). This study can be used to develop learning multimedia in other science context.

A comparison of latent class, K-means, and K-median methods for clustering dichotomous data.

PubMed

Brusco, Michael J; Shireman, Emilie; Steinley, Douglas

2017-09-01

The problem of partitioning a collection of objects based on their measurements on a set of dichotomous variables is a well-established problem in psychological research, with applications including clinical diagnosis, educational testing, cognitive categorization, and choice analysis. Latent class analysis and K-means clustering are popular methods for partitioning objects based on dichotomous measures in the psychological literature. The K-median clustering method has recently been touted as a potentially useful tool for psychological data and might be preferable to its close neighbor, K-means, when the variable measures are dichotomous. We conducted simulation-based comparisons of the latent class, K-means, and K-median approaches for partitioning dichotomous data. Although all 3 methods proved capable of recovering cluster structure, K-median clustering yielded the best average performance, followed closely by latent class analysis. We also report results for the 3 methods within the context of an application to transitive reasoning data, in which it was found that the 3 approaches can exhibit profound differences when applied to real data. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

The 21st century skills with model eliciting activities on linear program

NASA Astrophysics Data System (ADS)

Handajani, Septriana; Pratiwi, Hasih; Mardiyana

2018-04-01

Human resources in the 21st century are required to master various forms of skills, including critical thinking skills and problem solving. The teaching of the 21st century is a teaching that integrates literacy skills, knowledge, skills, attitudes, and mastery of ICT. This study aims to determine whether there are differences in the effect of applying Model Elliciting Activities (MEAs) that integrates 21st century skills, namely 4C and conventional learning to learning outcomes. This research was conducted at Vocational High School in the odd semester of 2017 and uses the experimental method. The experimental class is treated MEAs that integrates 4C skills and the control class is given conventional learning. Methods of data collection in this study using the method of documentation and test methods. The data analysis uses Z-test. Data obtained from experiment class and control class. The result of this study showed there are differences in the effect of applying MEAs that integrates 4C skills and conventional learning to learning outcomes. Classes with MEAs that integrates 4C skills give better learning outcomes than the ones in conventional learning classes. This happens because MEAs that integrates 4C skills can improved creativity skills, communication skills, collaboration skills, and problem-solving skills.

Stats on the Cheap: Using Free and Inexpensive Internet Resources to Enhance the Teaching of Statistics and Research Methods

ERIC Educational Resources Information Center

Hartnett, Jessica L.

2013-01-01

The present article describes four free or inexpensive Internet-based activities that can be used to supplement statistics/research methods/general psychology classes. Each activity and subsequent homework assessment is described, as well as homework performance outcome and student opinion data for each activity. (Contains 1 table.)

Qualitative Methods in Higher Education Research: A Team Approach to Multiple Site Investigation. ASHE Annual Meeting Paper.

ERIC Educational Resources Information Center

Whitt, Elizabeth J.; Kuh, George D.

A team approach to the use of qualitative methods in a study of high quality out-of-class experiences for undergraduate students at 14 institutions of higher education is described. Four research questions examined: the physical and organizational features characterizing the institutions; the nature of institutional policies related to…

Out of the Classroom--Into the Field. Profiles of Promise 32.

ERIC Educational Resources Information Center

Hawke, Sharryl

A junior high school geography class in La Palma, California, offers extensive field trip experiences to teach students methods of historical-geographical research. Resulting from a course that develops research methods in social studies, a club was formed that provides overnight excursions in various field activities. The club is open to 9th and…

Research Methods in Environmental Studies: A County Planning Application in Colorado.

ERIC Educational Resources Information Center

Gruntfest, Eve C.

To obtain practical experience, a research methods class at the University of Colorado (Colorado Springs) undertook a special project to help a nearby county (Park County), assess its planning needs. The county was chosen for its characteristics as a rapidly growing rural area faced with the problems created by mounting population pressure on…

A Method of Measuring the Costs and Benefits of Applied Research.

ERIC Educational Resources Information Center

Sprague, John W.

The Bureau of Mines studied the application of the concepts and methods of cost-benefit analysis to the problem of ranking alternative applied research projects. Procedures for measuring the different classes of project costs and benefits, both private and public, are outlined, and cost-benefit calculations are presented, based on the criteria of…

Detection of 224 candidate structured RNAs by comparative analysis of specific subsets of intergenic regions

PubMed Central

Lünse, Christina E.; Corbino, Keith A.; Ames, Tyler D.; Nelson, James W.; Roth, Adam; Perkins, Kevin R.; Sherlock, Madeline E.

2017-01-01

Abstract The discovery of structured non-coding RNAs (ncRNAs) in bacteria can reveal new facets of biology and biochemistry. Comparative genomics analyses executed by powerful computer algorithms have successfully been used to uncover many novel bacterial ncRNA classes in recent years. However, this general search strategy favors the discovery of more common ncRNA classes, whereas progressively rarer classes are correspondingly more difficult to identify. In the current study, we confront this problem by devising several methods to select subsets of intergenic regions that can concentrate these rare RNA classes, thereby increasing the probability that comparative sequence analysis approaches will reveal their existence. By implementing these methods, we discovered 224 novel ncRNA classes, which include ROOL RNA, an RNA class averaging 581 nt and present in multiple phyla, several highly conserved and widespread ncRNA classes with properties that suggest sophisticated biochemical functions and a multitude of putative cis-regulatory RNA classes involved in a variety of biological processes. We expect that further research on these newly found RNA classes will reveal additional aspects of novel biology, and allow for greater insights into the biochemistry performed by ncRNAs. PMID:28977401

Applications of Palladium-Catalyzed C-N Cross-Coupling Reactions.

PubMed

Ruiz-Castillo, Paula; Buchwald, Stephen L

2016-10-12

Pd-catalyzed cross-coupling reactions that form C-N bonds have become useful methods to synthesize anilines and aniline derivatives, an important class of compounds throughout chemical research. A key factor in the widespread adoption of these methods has been the continued development of reliable and versatile catalysts that function under operationally simple, user-friendly conditions. This review provides an overview of Pd-catalyzed N-arylation reactions found in both basic and applied chemical research from 2008 to the present. Selected examples of C-N cross-coupling reactions between nine classes of nitrogen-based coupling partners and (pseudo)aryl halides are described for the synthesis of heterocycles, medicinally relevant compounds, natural products, organic materials, and catalysts.

Applications of Palladium-Catalyzed C–N Cross-Coupling Reactions

PubMed Central

2016-01-01

Pd-catalyzed cross-coupling reactions that form C–N bonds have become useful methods to synthesize anilines and aniline derivatives, an important class of compounds throughout chemical research. A key factor in the widespread adoption of these methods has been the continued development of reliable and versatile catalysts that function under operationally simple, user-friendly conditions. This review provides an overview of Pd-catalyzed N-arylation reactions found in both basic and applied chemical research from 2008 to the present. Selected examples of C–N cross-coupling reactions between nine classes of nitrogen-based coupling partners and (pseudo)aryl halides are described for the synthesis of heterocycles, medicinally relevant compounds, natural products, organic materials, and catalysts. PMID:27689804

Do Students Who Get Low Grades Only in Research Methods Need the Same Help as Students Who Get Low Grades in All Topics in Psychology?

ERIC Educational Resources Information Center

Barry, John A.

2012-01-01

Some psychology students achieve high grades in all classes except for research methods (RM). Previous research has usually treated low levels of achievement in RM as a unitary phenomenon, without reference to the grades the student is achieving in other subjects. The present internet survey explored preferences for learning RM in 140 psychology…

Rubric Assessment on Science and Creative Thinking Skills of Students

NASA Astrophysics Data System (ADS)

Ratnasusanti, H.; Ana, A.; Nurafiati, P.; Umusyaadah, L.

2018-02-01

The result of the monitoring and evaluation of the latest Indonesian curriculum (the 2013 curriculum) implementation at junior high school level year of 2014 showed that one of the difficult things that learners had in implementation 2013 curriculum is doing the result. The characteristic of applying the 2013 curriculum is to emphasize the modern pedagogic dimension of learning, which is using scientific approach, which requires learners to have highlevel thinking skills, one of which is creative thinking skills. The aims of this research is to implement performance assessment in measuring the creative thinking of junior high school students on subject Prakarya. The form of the main performance assessment is the task and assessment criteria. The experimental method that been used is the Quasi Experiment with Non-Equivalent Design Group Research. Population in this study is the students of VIII class of junior high school in Bandung, Indonesia which consists of six classes. And two classes are selected for the sample from that six classes and VIII A class were chosen, while VIII F class has been chosen as control class. The result of this research showed that the rubics of performance assessment can be measure or identify the creative thinking skill, its prove by the result of pre-test dan post-test are more dominant. In material of identification student’s creative thinking skills are reached an average 85 compare 79 with the control class. while in the presentation the experimental class got an average of 85 bigger than the control class which only reached 79.

Latent class instrumental variables: A clinical and biostatistical perspective

PubMed Central

Baker, Stuart G.; Kramer, Barnett S.; Lindeman, Karen S.

2015-01-01

In some two-arm randomized trials, some participants receive the treatment assigned to the other arm as a result of technical problems, refusal of a treatment invitation, or a choice of treatment in an encouragement design. In some before-and-after studies, the availability of a new treatment changes from one time period to this next. Under assumptions that are often reasonable, the latent class instrumental variable (IV) method estimates the effect of treatment received in the aforementioned scenarios involving all-or-none compliance and all-or-none availability. Key aspects are four initial latent classes (sometimes called principal strata) based on treatment received if in each randomization group or time period, the exclusion restriction assumption (in which randomization group or time period is an instrumental variable), the monotonicity assumption (which drops an implausible latent class from the analysis), and the estimated effect of receiving treatment in one latent class (sometimes called efficacy, the local average treatment effect, or the complier average causal effect). Since its independent formulations in the biostatistics and econometrics literatures, the latent class IV method (which has no well-established name) has gained increasing popularity. We review the latent class IV method from a clinical and biostatistical perspective, focusing on underlying assumptions, methodological extensions, and applications in our fields of obstetrics and cancer research. PMID:26239275

Analysis, Occurrence and Toxicity of Haloacetaldehydes in ...

EPA Pesticide Factsheets

Chlorinated and brominated haloacetaldehydes (HALs) are consideredthe 3rd largest class of disinfection by-products (DBPs) by weight. The iodinatedHAL, iodoacetaldehyde, has been recently reported as an emerging DBP infinished drinking waters. Overall, iodinated DBPs, e.g., iodoacetic acids,iodoacetamides, and iodonitriles, are among the most genotoxic of all DBPsidentified. In this context, this chapter reviews the analytical methods available todate to determine HALs in water, and the concentrations at which they are presentin finished drinking waters. Since systematic toxicological effects have been onlyinvestigated for selected chloro- and bromo- HALs, a comparative study of thegenotoxicity and cytotoxicity of this DBP class to mammalian ce11s is alsopresented. This research is part of the Safe and Sustainable Water Research (SSWR) Program, specifically SSWR 2.2.D, which focuses on water contaminants. Haloacetaldehydes are an important class of emerging (non-regulated), disinfection byproducts. Haloacetaldehydes were the third largest disinfection byproduct class by weight in a U.S. Nationwide DBP Occurrence Study. Why was this study done? This study was done because a) improved analytical methods are needed for the haloacetaldehyde disinfection byproducts; b) occurrence data in drinking water are needed; and c) in vitro toxicology data on the class (iodo-, bromo, chloro-) of the haloacetaldehydes are lacking. What is the impact to the scientific field in ge

Multilevel Latent Class Analysis: An Application of Adolescent Smoking Typologies with Individual and Contextual Predictors

ERIC Educational Resources Information Center

Henry, Kimberly L.; Muthen, Bengt

2010-01-01

Latent class analysis (LCA) is a statistical method used to identify subtypes of related cases using a set of categorical or continuous observed variables. Traditional LCA assumes that observations are independent. However, multilevel data structures are common in social and behavioral research and alternative strategies are needed. In this…

A Comparative Study of a Research-Oriented High School Advanced Biology Class and a Conventional Textbook-Centered Class.

ERIC Educational Resources Information Center

Smith, Alva Nelson

Two instructional methods were identified and compared to determine if any significant differences could be noted on three criterion measures. Measurements were conducted in the areas of achievement in biology, science attitudes, and critical thinking ability. Student ability was measured using pre-tests and the Scholastic Aptitude Test. Students…

Prevalence Estimation and Validation of New Instruments in Psychiatric Research: An Application of Latent Class Analysis and Sensitivity Analysis

ERIC Educational Resources Information Center

Pence, Brian Wells; Miller, William C.; Gaynes, Bradley N.

2009-01-01

Prevalence and validation studies rely on imperfect reference standard (RS) diagnostic instruments that can bias prevalence and test characteristic estimates. The authors illustrate 2 methods to account for RS misclassification. Latent class analysis (LCA) combines information from multiple imperfect measures of an unmeasurable latent condition to…

University Professors' Stress and Perceived State of Health in Relation to Teaching Schedules

ERIC Educational Resources Information Center

Cladellas, Ramon; Castello, Antoni

2011-01-01

Introduction: The aim of this research is to analyze the influence of time management, particularly in connection with university teachers' assigned class hours, on psychosocial factors relating to perceived health and stress symptoms. Special attention is given to the effect of very early and very late class hours. Method: The sample comprised…

Bayesian Inference for Growth Mixture Models with Latent Class Dependent Missing Data

ERIC Educational Resources Information Center

Lu, Zhenqiu Laura; Zhang, Zhiyong; Lubke, Gitta

2011-01-01

"Growth mixture models" (GMMs) with nonignorable missing data have drawn increasing attention in research communities but have not been fully studied. The goal of this article is to propose and to evaluate a Bayesian method to estimate the GMMs with latent class dependent missing data. An extended GMM is first presented in which class…

The Views of Class Teachers on Acquisition of Entrepreneurship Ability

ERIC Educational Resources Information Center

Aladag, Soner

2017-01-01

Aim of this study is to determine the views of class teachers on the acquisition of entrepreneurship abilities. With being a qualitative research, adopted approach is phenomenology. Study group was determined by a suitable sampling method. The study group included eight classroom teachers working in primary schools in Aydin. The data of the study…

Consent Form Return Rates for Third-Grade Urban Elementary Students

ERIC Educational Resources Information Center

Ji, Peter; Flay, Brian R.; Phil, D.; DuBois, David L.; Brechling, Vanessa; Day, Joseph; Cantillon, Dan

2006-01-01

Objective: To maximize active parent consent form return rates for third-grade minority, urban students enrolled in predominantly low-income elementary schools in Chicago, Ill. Methods: Research staff used a class incentive and class visits to retrieve consent forms from students. Results: Of the 811 third-grade students, 98% returned a form and …

The Effects of Web Conferencing on the Community of Inquiry in Online Classes

ERIC Educational Resources Information Center

Stover, Sheri; Miura, Yoko

2015-01-01

This mixed-methods research study compared the level of community of inquiry (CoI) in online graduate classes that use web conferencing (WC) compared to those that do not. This study also investigated students' perceptions of Teaching Presence (TP), Social Presence (SP), and Cognitive Presence (CP). The authors found that students had…

Beyond the Flipped Classroom: Redesigning a Research Methods Course for e[superscript3] Instruction

ERIC Educational Resources Information Center

Hoffman, Ellen S.

2014-01-01

The "flipped classroom" has gained in popularity as a new way to structure teaching in which lectures shift from in-class events to digitally-based homework, freeing up class time for practice exercises and discussion. However, critics note such a teaching strategy continues emphasis on the less effective techniques of the lecture as…

Gender-Specific Instructional Strategies and Student Achievement in 5th Grade Classrooms

ERIC Educational Resources Information Center

Dickey, Millicent Whitener

2014-01-01

There are three purposes of this mixed methods phenomenological case study. First, the researcher attempted to determine if there is evidence that teachers in single-sex classes adjust the delivery of the academic content when compared to coeducational classes. Secondly, while trying to understand the phenomenon of learning in a single-sex…

Engaging Students: An Authentic Undergraduate Research Experience

ERIC Educational Resources Information Center

Alderton, Elizabeth; Manzi, Michelina

2017-01-01

Engaging students in valuable undergraduate research can be an arduous task to craft outside of the regular schedule of both staff and students. This paper describes a successful research experience that was part of an ongoing methods class for undergraduate pre-service education students. Participants simultaneously engaged in community service…

DETERMINATION OF PESTICIDES IN COMOSITE DIETS USING LARGE VOLUME PRESSURIZED FLUID EXTRACTION WITH IN-LINE SAMPLE PREPARATION

EPA Science Inventory

USEPA's National Exposure Research Laboratory conducts research to measure the exposure of individuals to chemical pollutants through the diet, as well as other media. In support of this research, methods are being evaluated for determination of various classes of pesticides in ...

Seismic Data Analysis throught Multi-Class Classification.

NASA Astrophysics Data System (ADS)

Anderson, P.; Kappedal, R. D.; Magana-Zook, S. A.

2017-12-01

In this research, we conducted twenty experiments of varying time and frequency bands on 5000seismic signals with the intent of finding a method to classify signals as either an explosion or anearthquake in an automated fashion. We used a multi-class approach by clustering of the data throughvarious techniques. Dimensional reduction was examined through the use of wavelet transforms withthe use of the coiflet mother wavelet and various coefficients to explore possible computational time vsaccuracy dependencies. Three and four classes were generated from the clustering techniques andexamined with the three class approach producing the most accurate and realistic results.

Understanding Mathematic Concept in Relation and Function Method through Active Learning Type Group to Group Distributed LKS

NASA Astrophysics Data System (ADS)

Kudri, F.; Rahmi, R.; Haryono, Y.

2018-04-01

This research is motivated by the lack of understanding of mathematical concepts students and teachers have not familiarize students discussed in groups. This researchaims to determine whether an understanding of mathematical concepts junior class VIII SMPN 2 in Ranah Batahan Kabupaten Pasaman Barat by applying active learning strategy group to group types with LKS better than conventional learning. The type of research is experimental the design of randomized trials on the subject. The population in the study were all students VIII SMPN 2 Ranah Batahan Kabupaten Pasaman Barat in year 2012/2013 which consists of our class room experiment to determine the grade and control class with do nerandomly, so that classes VIII1 elected as a experiment class and class VIII4 as a control class. The instruments used in the test empirically understanding mathematical concepts are shaped by the essay with rt=0,82 greater than rt=0,468 means reliable tests used. The data analysis technique used is the test with the help of MINITAB. Based on the results of the data analisis known that both of the sample are normal and homogenity in real rate α = 0,05, so the hypothesis of this research is received. So, it can be concluded students’ understanding mathematical concept applied the active Group to Group learning strategy with LKS is better than the students’ understanding mathematical concept with Conventional Learning.

The Effect of Peer Review on Student Learning Outcomes in a Research Methods Course

ERIC Educational Resources Information Center

Crowe, Jessica A.; Silva, Tony; Ceresola, Ryan

2015-01-01

In this study, we test the effect of in-class student peer review on student learning outcomes using a quasiexperimental design. We provide an assessment of peer review in a quantitative research methods course, which is a traditionally difficult and technical course. Data were collected from 170 students enrolled in four sections of a…

Using a Brief Form of Problem-Based Learning in a Research Methods Class: Perspectives of Instructor and Students

ERIC Educational Resources Information Center

Elder, Anastasia D.

2015-01-01

Problem based learning (PBL) is an instructional method aimed at engaging students in collaboratively solving an ill-structured problem. PBL has been presented and researched as an overhaul of existing curriculum design, yet a modified version may be attractive to college instructors who desire active learning on the part of their students, but…

Mixed-Method Research on Learning Vocabulary through Technology Reveals Vocabulary Growth in Second-Grade Students

ERIC Educational Resources Information Center

Huang, SuHua

2015-01-01

A mixed-method embedded research design was employed to investigate the effectiveness of the integration of technology for second-grade students' vocabulary development and learning. Two second-grade classes with a total of 40 students (21 boys and 19 girls) were randomly selected to participate in this study for the course of a semester. One…

Is Flipping Worth the Fuss: A Mixed Methods Case Study of Screencasting in the Social Studies Classroom Authors

ERIC Educational Resources Information Center

Snyder, Catherine; Besozzi, David; Paska, Lawrence; Oppenlander, Jane

2016-01-01

This action research case study evaluates the effectiveness of using "flipped" instruction in a secondary social studies classroom. The researchers used mixed methods data to determine if flipping the instruction in a social studies class through the use of screencasting increased student learning as measured by pre- and post-unit…

Research on Geographical Environment Unit Division Based on the Method of Natural Breaks (Jenks)

NASA Astrophysics Data System (ADS)

Chen, J.; Yang, S. T.; Li, H. W.; Zhang, B.; Lv, J. R.

2013-11-01

Zoning which is to divide the study area into different zones according to their geographical differences at the global, national or regional level, includes natural division, economic division, geographical zoning of departments, comprehensive zoning and so on. Zoning is of important practical significance, for example, knowing regional differences and characteristics, regional research and regional development planning, understanding the favorable and unfavorable conditions of the regional development etc. Geographical environment is arising from the geographical position linkages. Geographical environment unit division is also a type of zoning. The geographical environment indicators are deeply studied and summed up in the article, including the background, the associated and the potential. The background indicators are divided into four categories, such as the socio-economic, the political and military, the strategic resources and the ecological environment, which can be divided into more sub-indexes. While the sub-indexes can be integrated to comprehensive index system by weighted stacking method. The Jenks natural breaks classification method, also called the Jenks optimization method, is a data classification method designed to determine the best arrangement of values into different classes. This is done by seeking to minimize each class's average deviation from the class mean, while maximizing each class's deviation from the means of the other groups. In this paper, the experiment of Chinese surrounding geographical environment unit division has been done based on the natural breaks (jenks) method, the geographical environment index system and the weighted stacking method, taking South Asia as an example. The result indicates that natural breaks (jenks) method is of good adaptability and high accuracy on the geographical environment unit division. The geographical environment research was originated in the geopolitics and flourished in the geo-economics. The main representatives of the geopolitics are German geographer Friedrich Ratzel, British geographer Mackinder and American geographical politician Nicholas John Spykman etc. The main representative of the geo-economics is American geographical economist Edward Luttwak. China has the most neighboring countries in the world, and its geographical environment is extremely complex. With the continuous development of globalization, China's relations with neighboring countries have become more complex and more closely. So it is very meaningful to have depth research on geographical environment unit division of China.

A Review of Computational Methods for Finding Non-Coding RNA Genes

PubMed Central

Abbas, Qaisar; Raza, Syed Mansoor; Biyabani, Azizuddin Ahmed; Jaffar, Muhammad Arfan

2016-01-01

Finding non-coding RNA (ncRNA) genes has emerged over the past few years as a cutting-edge trend in bioinformatics. There are numerous computational intelligence (CI) challenges in the annotation and interpretation of ncRNAs because it requires a domain-related expert knowledge in CI techniques. Moreover, there are many classes predicted yet not experimentally verified by researchers. Recently, researchers have applied many CI methods to predict the classes of ncRNAs. However, the diverse CI approaches lack a definitive classification framework to take advantage of past studies. A few review papers have attempted to summarize CI approaches, but focused on the particular methodological viewpoints. Accordingly, in this article, we summarize in greater detail than previously available, the CI techniques for finding ncRNAs genes. We differentiate from the existing bodies of research and discuss concisely the technical merits of various techniques. Lastly, we review the limitations of ncRNA gene-finding CI methods with a point-of-view towards the development of new computational tools. PMID:27918472

Enhancement of Self Efficacy of Vocational School Students in Buffer Solution Topics through Guided Inquiry Learning

NASA Astrophysics Data System (ADS)

M, Ardiany; W, Wahyu; A, Supriatna

2017-09-01

The more students who feel less confident in learning, so doing things that are less responsible, such as brawl, drunkenness and others. So researchers need to do research related to student self efficacy in learning, in order to reduce unwanted things. This study aims to determine the effect of guided inquiry learning on improving self-efficacy of learners in the buffer solution topics. The method used is the mixed method which is the two group pretest postest design. The subjects of the study are 60 students of class XI AK in one of the SMKN in Bandung, consisting of 30 experimental class students and 30 control class students. The instruments used in this study mix method consist of self-efficacy questionnaire of pretest and posttest learners, interview guides, and observation sheet. Data analysis using t test with significant α = 0,05. Based on the result of inquiry of guided inquiry study, there is a significant improvement in self efficacy aspect of students in the topic of buffer solution. Data of pretest and posttest interview, observation, questionnaire showed significant result, that is improvement of experimental class with conventionally guided inquiry learning. The mean of self-efficacy of student learning there is significant difference of experiment class than control class equal to 0,047. There is a significant relationship between guided inquiry learning with self efficacy and guided inquiry learning. Each correlation value is 0.737. The learning process with guided inquiry is fun and challenging so that students can expose their ideas and opinions without being forced. From the results of questionnaires students showed an attitude of interest, sincerity and a good response of learning. While the results of questionnaires teachers showed that guided inquiry learning can make students learn actively, increased self-efficacy.

Application of experiential learning model using simple physical kit to increase attitude toward physics student senior high school in fluid

NASA Astrophysics Data System (ADS)

Johari, A. H.; Muslim

2018-05-01

Experiential learning model using simple physics kit has been implemented to get a picture of improving attitude toward physics senior high school students on Fluid. This study aims to obtain a description of the increase attitudes toward physics senior high school students. The research method used was quasi experiment with non-equivalent pretest -posttest control group design. Two class of tenth grade were involved in this research 28, 26 students respectively experiment class and control class. Increased Attitude toward physics of senior high school students is calculated using an attitude scale consisting of 18 questions. Based on the experimental class test average of 86.5% with the criteria of almost all students there is an increase and in the control class of 53.75% with the criteria of half students. This result shows that the influence of experiential learning model using simple physics kit can improve attitude toward physics compared to experiential learning without using simple physics kit.

Power and Method: Political Activism and Educational Research. Critical Social Thought Series.

ERIC Educational Resources Information Center

Gitlin, Andrew, Ed.

This book scrutinizes some basic assumptions about educational research with the aim that such research may act more powerfully on those persistent and important problems of our schools surrounding issues of race, class, and gender. In particular, the 13 essays in this book examine how power is infused in research by addressing such questions as…

Action Research for School Improvement: Studies on Able, Gifted and Talented Learners, Homework and White Working-Class Pupils

ERIC Educational Resources Information Center

Riggall, Anna, Ed.; Churches, Richard, Ed.; Elwick, Alex, Ed.

2014-01-01

This report is based on seven action research projects undertaken by teachers in CfBT academies in the school year 2012/13. The schools received research support that included training in research methods and undertook a smallscale research project within one of three thematic strands. Schools chose the themes for their research themselves and…

Automatic Adviser on Mobile Objects Status Identification and Classification

NASA Astrophysics Data System (ADS)

Shabelnikov, A. N.; Liabakh, N. N.; Gibner, Ya M.; Saryan, A. S.

2018-05-01

A mobile object status identification task is defined within the image discrimination theory. It is proposed to classify objects into three classes: object operation status; its maintenance is required and object should be removed from the production process. Two methods were developed to construct the separating boundaries between the designated classes: a) using statistical information on the research objects executed movement, b) basing on regulatory documents and expert commentary. Automatic Adviser operation simulation and the operation results analysis complex were synthesized. Research results are commented using a specific example of cuts rolling from the hump yard. The work was supported by Russian Fundamental Research Fund, project No. 17-20-01040.

Can You Repeat That Please?: Using Monte Carlo Simulation in Graduate Quantitative Research Methods Classes

ERIC Educational Resources Information Center

Carsey, Thomas M.; Harden, Jeffrey J.

2015-01-01

Graduate students in political science come to the discipline interested in exploring important political questions, such as "What causes war?" or "What policies promote economic growth?" However, they typically do not arrive prepared to address those questions using quantitative methods. Graduate methods instructors must…

Markov Chain Ontology Analysis (MCOA)

PubMed Central

2012-01-01

Background Biomedical ontologies have become an increasingly critical lens through which researchers analyze the genomic, clinical and bibliographic data that fuels scientific research. Of particular relevance are methods, such as enrichment analysis, that quantify the importance of ontology classes relative to a collection of domain data. Current analytical techniques, however, remain limited in their ability to handle many important types of structural complexity encountered in real biological systems including class overlaps, continuously valued data, inter-instance relationships, non-hierarchical relationships between classes, semantic distance and sparse data. Results In this paper, we describe a methodology called Markov Chain Ontology Analysis (MCOA) and illustrate its use through a MCOA-based enrichment analysis application based on a generative model of gene activation. MCOA models the classes in an ontology, the instances from an associated dataset and all directional inter-class, class-to-instance and inter-instance relationships as a single finite ergodic Markov chain. The adjusted transition probability matrix for this Markov chain enables the calculation of eigenvector values that quantify the importance of each ontology class relative to other classes and the associated data set members. On both controlled Gene Ontology (GO) data sets created with Escherichia coli, Drosophila melanogaster and Homo sapiens annotations and real gene expression data extracted from the Gene Expression Omnibus (GEO), the MCOA enrichment analysis approach provides the best performance of comparable state-of-the-art methods. Conclusion A methodology based on Markov chain models and network analytic metrics can help detect the relevant signal within large, highly interdependent and noisy data sets and, for applications such as enrichment analysis, has been shown to generate superior performance on both real and simulated data relative to existing state-of-the-art approaches. PMID:22300537

Markov Chain Ontology Analysis (MCOA).

PubMed

Frost, H Robert; McCray, Alexa T

2012-02-03

Biomedical ontologies have become an increasingly critical lens through which researchers analyze the genomic, clinical and bibliographic data that fuels scientific research. Of particular relevance are methods, such as enrichment analysis, that quantify the importance of ontology classes relative to a collection of domain data. Current analytical techniques, however, remain limited in their ability to handle many important types of structural complexity encountered in real biological systems including class overlaps, continuously valued data, inter-instance relationships, non-hierarchical relationships between classes, semantic distance and sparse data. In this paper, we describe a methodology called Markov Chain Ontology Analysis (MCOA) and illustrate its use through a MCOA-based enrichment analysis application based on a generative model of gene activation. MCOA models the classes in an ontology, the instances from an associated dataset and all directional inter-class, class-to-instance and inter-instance relationships as a single finite ergodic Markov chain. The adjusted transition probability matrix for this Markov chain enables the calculation of eigenvector values that quantify the importance of each ontology class relative to other classes and the associated data set members. On both controlled Gene Ontology (GO) data sets created with Escherichia coli, Drosophila melanogaster and Homo sapiens annotations and real gene expression data extracted from the Gene Expression Omnibus (GEO), the MCOA enrichment analysis approach provides the best performance of comparable state-of-the-art methods. A methodology based on Markov chain models and network analytic metrics can help detect the relevant signal within large, highly interdependent and noisy data sets and, for applications such as enrichment analysis, has been shown to generate superior performance on both real and simulated data relative to existing state-of-the-art approaches.

Decade of Change.

ERIC Educational Resources Information Center

Hunter, Leslie Gene

1995-01-01

Discusses advancements in the field of history-related computer-assisted instruction and research. Describes the components of Historiography and Methods of Research, a class that introduces history students to such practical applications as the World Wide Web (WWW), File Transfer Protocol (FTP), listservs, archival access, and others. Briefly…

Globalization and Life History Research: Fragments of a Life Foretold

ERIC Educational Resources Information Center

Tierney, William G.

2010-01-01

The goal of this paper is to understand, by way of a life history of one low-income working-class youth, how globalization impacts the working class in a developing nation. The concept of globalization and the method of life history seem diametrically opposed. Globalization is an idea about large social forces that impact the economic and material…

Relationship between Bilingual Instruction and Learners' Performance in English as Second Language Context

ERIC Educational Resources Information Center

Khan, Huma Imran

2015-01-01

The prime purpose of this study was to explore a correlation between bilingual instruction in an ESL class and the class performance of the ESL learners at the secondary level. Quantitative research method was used to evaluate the test performance of 60 ESL learners divided into two groups: One was the controlled group (which was given…

Examining the Difference in Student Achievement between Face-to-Face and Online Computer Classes

ERIC Educational Resources Information Center

Hearn, Phillips Turner

2017-01-01

The purpose of this study was to compare the achievement of students taking a computer applications class in one of two instructional methods, traditional face-to-face and online, at a Southeastern community college. The research questions examined more than 3,000 samples from the summer of 2012 through the spring semester of 2016. There were…

A Model for Effective Teaching and Learning in Research Methods.

ERIC Educational Resources Information Center

Poindexter, Paula M.

1998-01-01

Proposes a teaching model for making research relevant. Presents a case study of the model as used in advertising and public relations research classes. Notes that the model consists of a knowledge base, team process, a realistic goal-oriented experience, self-management, expert consultation, and evaluation and synthesis. Discusses resulting…

Beyond the Google Search Bar: Evaluating Source Credibility in Contemporary Research

ERIC Educational Resources Information Center

Sorenson, Mary E.

2016-01-01

Courses: Research Methods, Public Speaking, Communication Theory, any other course that requires college students to engage in a formal research process. Can be conducted in traditional, online, or hybrid courses. Objectives: In this original single-class activity, students will be able to evaluate source credibility for resources that extend…

Teaching Research and Practice Evaluation Skills to Graduate Social Work Students

ERIC Educational Resources Information Center

Wong, Stephen E.; Vakharia, Sheila P.

2012-01-01

Objective: The authors examined outcomes of a graduate course on evaluating social work practice that required students to use published research, quantitative measures, and single-system designs in a simulated practice evaluation project. Method: Practice evaluation projects from a typical class were analyzed for the number of research references…

Teaching Students to Do Interviewing.

ERIC Educational Resources Information Center

Yoder, Jan

1979-01-01

Describes a lesson in a research methods class teaching undergraduate students instrument construction and interviewing techniques, using film viewing, discussion, and interviewing exercises. Student reactions were positive. (CK)

hemaClass.org: Online One-By-One Microarray Normalization and Classification of Hematological Cancers for Precision Medicine.

PubMed

Falgreen, Steffen; Ellern Bilgrau, Anders; Brøndum, Rasmus Froberg; Hjort Jakobsen, Lasse; Have, Jonas; Lindblad Nielsen, Kasper; El-Galaly, Tarec Christoffer; Bødker, Julie Støve; Schmitz, Alexander; H Young, Ken; Johnsen, Hans Erik; Dybkær, Karen; Bøgsted, Martin

2016-01-01

Dozens of omics based cancer classification systems have been introduced with prognostic, diagnostic, and predictive capabilities. However, they often employ complex algorithms and are only applicable on whole cohorts of patients, making them difficult to apply in a personalized clinical setting. This prompted us to create hemaClass.org, an online web application providing an easy interface to one-by-one RMA normalization of microarrays and subsequent risk classifications of diffuse large B-cell lymphoma (DLBCL) into cell-of-origin and chemotherapeutic sensitivity classes. Classification results for one-by-one array pre-processing with and without a laboratory specific RMA reference dataset were compared to cohort based classifiers in 4 publicly available datasets. Classifications showed high agreement between one-by-one and whole cohort pre-processsed data when a laboratory specific reference set was supplied. The website is essentially the R-package hemaClass accompanied by a Shiny web application. The well-documented package can be used to run the website locally or to use the developed methods programmatically. The website and R-package is relevant for biological and clinical lymphoma researchers using affymetrix U-133 Plus 2 arrays, as it provides reliable and swift methods for calculation of disease subclasses. The proposed one-by-one pre-processing method is relevant for all researchers using microarrays.

An ontology-based method for secondary use of electronic dental record data.

PubMed

Schleyer, Titus Kl; Ruttenberg, Alan; Duncan, William; Haendel, Melissa; Torniai, Carlo; Acharya, Amit; Song, Mei; Thyvalikakath, Thankam P; Liu, Kaihong; Hernandez, Pedro

2013-01-01

A key question for healthcare is how to operationalize the vision of the Learning Healthcare System, in which electronic health record data become a continuous information source for quality assurance and research. This project presents an initial, ontology-based, method for secondary use of electronic dental record (EDR) data. We defined a set of dental clinical research questions; constructed the Oral Health and Disease Ontology (OHD); analyzed data from a commercial EDR database; and created a knowledge base, with the OHD used to represent clinical data about 4,500 patients from a single dental practice. Currently, the OHD includes 213 classes and reuses 1,658 classes from other ontologies. We have developed an initial set of SPARQL queries to allow extraction of data about patients, teeth, surfaces, restorations and findings. Further work will establish a complete, open and reproducible workflow for extracting and aggregating data from a variety of EDRs for research and quality assurance.

Service-Learning in Communication Education: A Case Study Investigation in Support of a Prisoners' Human Rights Organization

ERIC Educational Resources Information Center

Novek, Eleanor

2009-01-01

This article offers a case study of a graduate class in communication research methods with a service-learning approach. Students were engaged in evaluating the public information campaign of a nonprofit organization exposing human rights abuses in US prisons. They gained hands-on experience in the use of a variety of basic research methods and…

Comparison of peer-tutoring learning model through problem-solving approach and traditional learning model on the cognitive ability of grade 10 students at SMKN 13 Bandung on the topic of Stoichiometry

NASA Astrophysics Data System (ADS)

Hayat, A. Z.; Wahyu, W.; Kurnia

2018-05-01

This study aims to find out the improvement of cognitive ability of students on the implementation of cooperative learning model of peer-tutoring by using problem-solving approach. The research method used is mix method of Sequential Explanatory strategy and pretest post-test non-equivalent control group design. The participants involved in this study were 68 grade 10 students of Vocational High School in Bandung that consisted of 34 samples of experimental class and 34 samples of control class. The instruments used include written test and questionnaires. The improvement of cognitive ability of students was calculated using the N- gain formula. Differences of two average scores were calculated using t-test at significant level of α = 0.05. The result of study shows that the improvement of cognitive ability in experimental class was significantly different compared to the improvement in the control class at significant level of α = 0.05. The improvement of cognitive ability in experimental class is higher than in control class.

Nonrecursive formulations of multibody dynamics and concurrent multiprocessing

NASA Technical Reports Server (NTRS)

Kurdila, Andrew J.; Menon, Ramesh

1993-01-01

Since the late 1980's, research in recursive formulations of multibody dynamics has flourished. Historically, much of this research can be traced to applications of low dimensionality in mechanism and vehicle dynamics. Indeed, there is little doubt that recursive order N methods are the method of choice for this class of systems. This approach has the advantage that a minimal number of coordinates are utilized, parallelism can be induced for certain system topologies, and the method is of order N computational cost for systems of N rigid bodies. Despite the fact that many authors have dismissed redundant coordinate formulations as being of order N(exp 3), and hence less attractive than recursive formulations, we present recent research that demonstrates that at least three distinct classes of redundant, nonrecursive multibody formulations consistently achieve order N computational cost for systems of rigid and/or flexible bodies. These formulations are as follows: (1) the preconditioned range space formulation; (2) penalty methods; and (3) augmented Lagrangian methods for nonlinear multibody dynamics. The first method can be traced to its foundation in equality constrained quadratic optimization, while the last two methods have been studied extensively in the context of coercive variational boundary value problems in computational mechanics. Until recently, however, they have not been investigated in the context of multibody simulation, and present theoretical questions unique to nonlinear dynamics. All of these nonrecursive methods have additional advantages with respect to recursive order N methods: (1) the formalisms retain the highly desirable order N computational cost; (2) the techniques are amenable to concurrent simulation strategies; (3) the approaches do not depend upon system topology to induce concurrency; and (4) the methods can be derived to balance the computational load automatically on concurrent multiprocessors. In addition to the presentation of the fundamental formulations, this paper presents new theoretical results regarding the rate of convergence of order N constraint stabilization schemes associated with the newly introduced class of methods.

Latent class instrumental variables: a clinical and biostatistical perspective.

PubMed

Baker, Stuart G; Kramer, Barnett S; Lindeman, Karen S

2016-01-15

In some two-arm randomized trials, some participants receive the treatment assigned to the other arm as a result of technical problems, refusal of a treatment invitation, or a choice of treatment in an encouragement design. In some before-and-after studies, the availability of a new treatment changes from one time period to this next. Under assumptions that are often reasonable, the latent class instrumental variable (IV) method estimates the effect of treatment received in the aforementioned scenarios involving all-or-none compliance and all-or-none availability. Key aspects are four initial latent classes (sometimes called principal strata) based on treatment received if in each randomization group or time period, the exclusion restriction assumption (in which randomization group or time period is an instrumental variable), the monotonicity assumption (which drops an implausible latent class from the analysis), and the estimated effect of receiving treatment in one latent class (sometimes called efficacy, the local average treatment effect, or the complier average causal effect). Since its independent formulations in the biostatistics and econometrics literatures, the latent class IV method (which has no well-established name) has gained increasing popularity. We review the latent class IV method from a clinical and biostatistical perspective, focusing on underlying assumptions, methodological extensions, and applications in our fields of obstetrics and cancer research. Copyright © 2015 John Wiley & Sons, Ltd.

[Modeling the requirements on routine data of general practitioners from the health-care researcher's point of view with the help of unified modeling langauge (UML)].

PubMed

Kersting, M; Hauswaldt, J; Lingner, H

2012-08-01

Health-care research is, besides primary acquired study data, based on data from widely differing secondary sources. In order to link, compare and analyze data sources uniform models and methods are needed. This could be facilitated by a more structured description of requirements, models and methods of health-care research than those currently used. Suitable methods of presentation were sought in an approach to this target and the unified modeling language (UML) identified as a possible alternative. Using different tools 3 UML diagrams were created to represent some individual aspects of a scientific use file (SUF): A use case diagram as well as an activity and a class diagram. In the use case diagram we attempted to represent the general use cases of an SUF based on general practitioners routine data. Secondly a class diagram was constructed to visualize the contents and structure of a SUF. Thirdly an activity diagram was developed to graphically represent the concept of a general practitioner's episode of care. The creation of the UML diagrams was possible without any technical difficulties. Regarding the content the 3 diagrams must still be considered as prototypes. The use case diagram shows possible uses and users of an SUF, e. g. a research worker, industry but also the general practitioner who supplies the data. The class diagram reveals a general data structure that can serve information processes in practice and research. Besides aggregation, possibilities for specialization and generalization are essential elements of the class diagram that can be used meaningfully. The activity diagram for the schematic representation of a general practitioner's episode of care reveals the existence of multiple endpoints of an episode and the possibility to form relationships by means of episodes (diagnosis>therapy). The constructed diagrams are preliminary results and should be refined in future steps. Use case diagrams enable a rapid overview of the meaning and purpose of a system, in this case an SUF. Class diagrams can help at a professional level to describe relationships between entities (classes/objects) more clearly than with the existing methods of representation. Activity diagrams are successors to classic flow charts. They are complemented appropriately by status diagrams. UML is suitable to uniformly and graphically describe a system (here an SUF) from various points of view. In future, validated UML models will help us to present scientific concepts and results in a more structured form than before and to promote the technological use of these concepts in practice. © Georg Thieme Verlag KG Stuttgart · New York.

Opinions of Class and Subject Matter Teachers and Candidate Teachers on the Effectiveness of Creative Drama in Teaching Activities

ERIC Educational Resources Information Center

Epcacan, Cevdet

2013-01-01

The objective of this research is to establish the opinions of teachers and candidate teachers on the effect of creative drama. Descriptive research method is used in line with the objective of the research. Questionnaire is used for collecting data for the research. Questionnaire was prepared by the researcher. For the reliability of the…

Diagramming the Never Ending Story: Student-generated diagrammatic stories integrate and retain science concepts improving science literacy

NASA Astrophysics Data System (ADS)

Pillsbury, Ralph T.

This research examined an instructional strategy called Diagramming the Never Ending Story: A method called diagramming was taught to sixth grade students via an outdoor science inquiry ecology unit. Students generated diagrams of the new ecology concepts they encountered, creating explanatory 'captions' for their newly drawn diagrams while connecting them in a memorable story. The diagramming process culminates in 20-30 meter-long murals called the Never Ending Story: Months of science instruction are constructed as pictorial scrolls, making sense of all new science concepts they encounter. This method was taught at a North Carolina "Public" Charter School, Children's Community School, to measure its efficacy in helping students comprehend scientific concepts and retain them thereby increasing science literacy. There were four demographically similar classes of 20 students each. Two 'treatment' classes, randomly chosen from the four classes, generated their own Never Ending Stories after being taught the diagramming method. A Solomon Four-Group Design was employed: Two Classes (one control, one treatment) were administered pre- and post; two classes received post tests only. The tests were comprised of multiple choice, fill-in and extended response (open-ended) sections. Multiple choice and fill-in test data were not statistically significant whereas extended response test data confirm that treatment classes made statistically significant gains.

Barriers and Incentives to Computer Usage in Teaching

DTIC Science & Technology

1988-09-29

classes with one or two computers. Research Methods The two major methods of data-gathering employed in this study were intensive and extensive classroom ... observation and repeated extended interviews with students and teachers. Administrators were also interviewed when appropriate. Classroom observers used

Does self-defense training prevent sexual violence against women?

PubMed

Hollander, Jocelyn A

2014-03-01

Self-defense classes are offered across the nation as a strategy for reducing women's vulnerability to sexual assault. Yet there has been little systematic research assessing the effectiveness of these classes. In this article, I use data from a mixed methods study of a 10-week, university-based, feminist self-defense class to examine the effectiveness of self-defense training over a 1-year follow-up period. My analyses indicate that women who participate in self-defense training are less likely to experience sexual assault and are more confident in their ability to effectively resist assault than similar women who have not taken such a class.

Mediterranean Land Use and Land Cover Classification Assessment Using High Spatial Resolution Data

NASA Astrophysics Data System (ADS)

Elhag, Mohamed; Boteva, Silvena

2016-10-01

Landscape fragmentation is noticeably practiced in Mediterranean regions and imposes substantial complications in several satellite image classification methods. To some extent, high spatial resolution data were able to overcome such complications. For better classification performances in Land Use Land Cover (LULC) mapping, the current research adopts different classification methods comparison for LULC mapping using Sentinel-2 satellite as a source of high spatial resolution. Both of pixel-based and an object-based classification algorithms were assessed; the pixel-based approach employs Maximum Likelihood (ML), Artificial Neural Network (ANN) algorithms, Support Vector Machine (SVM), and, the object-based classification uses the Nearest Neighbour (NN) classifier. Stratified Masking Process (SMP) that integrates a ranking process within the classes based on spectral fluctuation of the sum of the training and testing sites was implemented. An analysis of the overall and individual accuracy of the classification results of all four methods reveals that the SVM classifier was the most efficient overall by distinguishing most of the classes with the highest accuracy. NN succeeded to deal with artificial surface classes in general while agriculture area classes, and forest and semi-natural area classes were segregated successfully with SVM. Furthermore, a comparative analysis indicates that the conventional classification method yielded better accuracy results than the SMP method overall with both classifiers used, ML and SVM.

Implementing elements of The Physics Suite at a large metropolitan research university

NASA Astrophysics Data System (ADS)

Efthimiou, Costas; Maronde, Dan; McGreevy, Tim; del Barco, Enrique; McCole, Stefanie

2011-07-01

A key question in physics education is the effectiveness of the teaching methods. A curriculum that has been investigated at the University of Central Florida (UCF) over the last two years is the use of particular elements of The Physics Suite. Select sections of the introductory physics classes at UCF have made use of Interactive Lecture Demonstrations as part of the lecture component of the class. The laboratory component of the class has implemented the RealTime Physics curriculum, again in select sections. The remaining sections have continued with the teaching methods traditionally used. Using pre- and post-semester concept inventory tests, a student survey, student interviews, and a standard for successful completion of the course, the preliminary data indicate improved student learning.

A hybrid method for prediction and repositioning of drug Anatomical Therapeutic Chemical classes.

PubMed

Chen, Lei; Lu, Jing; Zhang, Ning; Huang, Tao; Cai, Yu-Dong

2014-04-01

In the Anatomical Therapeutic Chemical (ATC) classification system, therapeutic drugs are divided into 14 main classes according to the organ or system on which they act and their chemical, pharmacological and therapeutic properties. This system, recommended by the World Health Organization (WHO), provides a global standard for classifying medical substances and serves as a tool for international drug utilization research to improve quality of drug use. In view of this, it is necessary to develop effective computational prediction methods to identify the ATC-class of a given drug, which thereby could facilitate further analysis of this system. In this study, we initiated an attempt to develop a prediction method and to gain insights from it by utilizing ontology information of drug compounds. Since only about one-fourth of drugs in the ATC classification system have ontology information, a hybrid prediction method combining the ontology information, chemical interaction information and chemical structure information of drug compounds was proposed for the prediction of drug ATC-classes. As a result, by using the Jackknife test, the 1st prediction accuracies for identifying the 14 main ATC-classes in the training dataset, the internal validation dataset and the external validation dataset were 75.90%, 75.70% and 66.36%, respectively. Analysis of some samples with false-positive predictions in the internal and external validation datasets indicated that some of them may even have a relationship with the false-positive predicted ATC-class, suggesting novel uses of these drugs. It was conceivable that the proposed method could be used as an efficient tool to identify ATC-classes of novel drugs or to discover novel uses of known drugs.

Students concept understanding of fluid static based on the types of teaching

NASA Astrophysics Data System (ADS)

Rahmawati, I. D.; Suparmi; Sunarno, W.

2018-03-01

This research aims to know the concept understanding of student are taught by guided inquiry based learning and conventional based learning. Subjects in this study are high school students as much as 2 classes and each class consists of 32 students, both classes are homogen. The data was collected by conceptual test in the multiple choice form with the students argumentation of the answer. The data analysis used is qualitative descriptive method. The results of the study showed that the average of class that was using guided inquiry based learning is 78.44 while the class with use conventional based learning is 65.16. Based on these data, the guided inquiry model is an effective learning model used to improve students concept understanding.

Globescope: Student Involvement in Culture Trait Studies as Part of the Social Studies Curriculum in Grades 5-12.

ERIC Educational Resources Information Center

Peters, Richard

The program described in this guide provides a method of researching and comparing diverse cultures for middle and high school students. Teams of students investigate cultures from around the world and present findings to the entire class. The team approach enables the class to be exposed to a variety of materials and gives students experience in…

Art-Based Learning Strategies in Art Therapy Graduate Education

ERIC Educational Resources Information Center

Deaver, Sarah P.

2012-01-01

This mixed methods research study examined the use of art-based teaching methods in master's level art therapy graduate education in North America. A survey of program directors yielded information regarding in which courses and how frequently art-based methods (individual in-class art making, dyad or group art making, student art projects as…

Finding the Right Mix: Teaching Methods as Predictors for Student Progress on Learning Objectives

ERIC Educational Resources Information Center

Glover, Jacob I.

2012-01-01

This study extends existing student ratings research by exploring how teaching methods, individually and collectively, influence a minimum standard of student achievement on learning objectives and how class size impacts this influence. Twenty teaching methods were used to predict substantial or exceptional progress on each of 12 learning…

Effect of levels of inquiry model of science teaching on scientific literacy domain attitudes

NASA Astrophysics Data System (ADS)

Achmad, Maulana; Suhandi, Andi

2017-05-01

The aim of this research was to obtain an overview of the increase scientific literacy attitudes domain in high school students as the effects of the Levels of Inquiry (LOI) model of science teaching. This research using a quasi-experimental methods and randomizedpretest-posttest control group design. The subject of this research was students of grade X in a senior high school in Purwakarta and it consists of two classes who were divided into experimental class (30 students) and control class (30 students). While experimental class was taught LOIand control class was taught Interactive Lecture Demonstration (ILD). Data were collected using an attitude scale scientific literacy test which is based on the Likert scale. Data were analyzed using normality test, homogeneity test, and t-test to the value of N-gain attitude of scientific literacy scale test. The result of percentage average N-gain experimental class and control are 49 and 31 that classified into medium improvement category. Based on the results of hypothesis testing on the N-gain value obtained by the Sig.(One-tailed) 0.000 < 0.050, it means that H1 was accepted. The results showed that scientific literacy domain attitude of students who got learning by LOI is higher than students who got learning by ILD. It can be concluded that the effect of LOI is better to improve scientific literacy domain attitudes significantly.

Russian Snap Military Exercise in March of 2015; What Implications did this Exercise Have

DTIC Science & Technology

2017-06-09

Russia can mobilize rapidly the nation for war, shift substantial forces in its interior to meet any threat, and that Russia is willing to use military...Further, it demonstrates to any observer that Russia can mobilize rapidly the nation for war, shift substantial forces in its interior to meet any...the steps of qualitative research method in a class on Advanced Research Methods, September 12, 2016. 65 Robert K. Yin, Case Study Research: Design

A Workshop for Developing Learning Modules for Science Classes Based on Biogeochemical Research

ERIC Educational Resources Information Center

Harrington, James M.; Gardner, Terrence G.; Amoozegar, Aziz; Andrews, Megan Y.; Rivera, Nelson A.; Duckworth, Owen W.

2013-01-01

A challenging aspect of educating secondary students is integrating complex scientific concepts related to modern research topics into lesson plans that students can relate to and understand at a basic level. One method of encouraging the achievement of learning outcomes is to use real-world applications and current research to fuel student…

The Influence of Teaching Methods and Learning Environment to the Student's Learning Achievement of Craft and Entrepreneurship Subjects at Vocational High School

ERIC Educational Resources Information Center

Munawaroh

2017-01-01

This research aims to explain the influence of teacher's teaching methods and learning environment to the learning achievement in class XI with the competency of accounting expertise to the subjects of craft and entrepreneurship, according to the students, the subject was very heavy and dull. The population in this research are students in class…

Definition of spectrally separable classes for soil survey research

NASA Technical Reports Server (NTRS)

Cipra, J. E.; Swain, P. H.; Gill, J. H.; Baumgardner, M. F.; Kristof, S. J.

1972-01-01

A procedure is outlined for defining spectral classes such that the differences between classes can be quantified. It also facilitates determination of a number of classes such that the classes are spectrally discriminable. This is accomplished by partitioning the data into many classes and then combining similar spectral classes on the basis of appropriate criteria. Multispectral data were collected over a 12-mile flightline in White County, Indiana, in connection with the 1971 Corn Blight Watch Experiment. Data were collected in May by the University of Michigan airborne scanning spectrometer at an altitude of 5000 feet. Spectral maps resulting from the analysis were compared to existing soil surveys of the National Cooperative Soil Survey. The method should help determine the extent to which spectral properties of soil surfaces can be associated with morphologic and topographic differences of interest to soil surveyors engaged in operational soil mapping.

A Trial of PBL Education with Emphasis on Improving Practical Competence of Engineering Students-A Trial Connected with the Support for Science Education in Elementary School

NASA Astrophysics Data System (ADS)

Tsutsumi, Hirotaka; Nikkuni, Hiroyuki; Kitakoshi, Daisuke; Yasuda, Toshitaka; Kikuchi, Akira; Mitani, Tomoyo

Recently Colleges of technology as well as universities have some experience-oriented classes in sciences for elementary school students. These have proved to be successful as good motivation for students in the primary education to be engineers. This research has tried the PBL education, which combined the Support of Science Education in Elementary School and the improvement of students‧ practical competence in their careers. The support of science education in elementary school was carried out by using LEGO blocks, widely utilized in the educational researches of robots, and was conducted in the practical class with the autonomous robots. Finally, the method for the class was evaluated by the elementary school students on the basis of the questionnaire.

Naming, the formation of stimulus classes, and applied behavior analysis.

PubMed

Stromer, R; Mackay, H A; Remington, B

1996-01-01

The methods used in Sidman's original studies on equivalence classes provide a framework for analyzing functional verbal behavior. Sidman and others have shown how teaching receptive, name-referent matching may produce rudimentary oral reading and word comprehension skills. Eikeseth and Smith (1992) have extended these findings by showing that children with autism may acquire equivalence classes after learning to supply a common oral name to each stimulus in a potential class. A stimulus class analysis suggests ways to examine (a) the problem of programming generalization from teaching situations to other environments, (b) the expansion of the repertoires that occur in those settings, and (c) the use of naming to facilitate these forms of generalization. Such research will help to clarify and extend Horne and Lowe's recent (1996) account of the role of verbal behavior in the formation of stimulus classes.

Influence of Social Class Perceptions on Attributions among Mental Health Practitioners

PubMed Central

Thomposon, Mindi; Diestelmann, Jacob; Cole, Odessa; Keller, Abiola; Minami, Takuya

2018-01-01

Objective A vignette-based study assessed the influence of social class attributions toward a hypothetical client’s difficulty. Method 188 licensed mental health professionals who were recruited through professional listservs completed an online survey after reviewing one of two versions of a vignette describing a hypothetical client that varied based on social class cues. Results As expected, this sample of licensed mental health practitioners detected social class differences based on the descriptors of the hypothetical client across the two vignettes. These perceived social class differences, however, did not impact participants’ attributions toward the client for causing or solving her problems, level of GAF score ascribed to the client, or willingness to work with the client. Conclusions There was no evidence that participants differentially ascribed attributions based on social class. Implications and directions for future research are provided. PMID:24499284

The Severe 5%: A Latent Class Analysis of the Externalizing Behavior Spectrum in the United States

PubMed Central

Vaughn, Michael G.; DeLisi, Matt; Gunterbh, Tracy; Fu, Qiang; Beaver, Kevin M.; Perron, Brian E.; Howard, Matthew O.

2012-01-01

Objective Criminological research consistently demonstrates that approximately 5% of study populations are comprised of pathological offenders who account for a preponderance of antisocial behavior and violent crime. Unfortunately, there have been no nationally representative epidemiological studies characterizing the severe 5% group. Materials and Methods Data from the 2001–2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), a nationally representative sample of 43,093 non-institutionalized U.S. residents aged 18 years and older were analyzed using latent class analysis to assess sociodemographic, psychiatric, and behavioral characteristics. Results Four-classes of respondents were identified vis-à-vis lifetime externalizing behaviors. A normative class (66.1% of respondents) demonstrated little involvement in antisocial conduct. A low substance use/high antisocial behavior class (20.7% of respondents) and high substance use/moderate antisocial behavior (8.0% of respondents) class evinced diverse externalizing and psychiatric symptoms. Finally, a severe class (5.3% of respondents) was characterized by pathological involvement in more varied and intensive forms of antisocial and externalizing behaviors and extensive psychiatric disturbance. Conclusions The current study is the first nationally representative epidemiological study of criminal careers/externalizing behavior spectrum in the United States and validates the existence of the 5% pathological group demonstrated by prior research. PMID:22942480

Economic Psychology: Its Connections with Research-Oriented Courses

ERIC Educational Resources Information Center

Christopher, Andrew N.; Marek, Pam; Benigno, Joann

2003-01-01

To enhance student interest in research methods, tests and measurement, and statistics classes, we describe how teachers may use resources from economic psychology to illustrate key concepts in these courses. Because of their applied nature and relevance to student experiences, topics covered by these resources may capture student attention and…

Research on Mobile Learning Activities Applying Tablets

ERIC Educational Resources Information Center

Kurilovas, Eugenijus; Juskeviciene, Anita; Bireniene, Virginija

2015-01-01

The paper aims to present current research on mobile learning activities in Lithuania while implementing flagship EU-funded CCL project on application of tablet computers in education. In the paper, the quality of modern mobile learning activities based on learning personalisation, problem solving, collaboration, and flipped class methods is…

Heterogeneity among Violence-Exposed Women: Applying Person-Oriented Research Methods

ERIC Educational Resources Information Center

Nurius, Paula S.; Macy, Rebecca J.

2008-01-01

Variability of experience and outcomes among violence-exposed people pose considerable challenges toward developing effective prevention and treatment protocols. To address these needs, the authors present an approach to research and a class of methodologies referred to as person oriented. Person-oriented tools support assessment of meaningful…

The impact of rigorous mathematical thinking as learning method toward geometry understanding

NASA Astrophysics Data System (ADS)

Nugraheni, Z.; Budiyono, B.; Slamet, I.

2018-05-01

To reach higher order thinking skill, needed to be mastered the conceptual understanding. RMT is a unique realization of the cognitive conceptual construction approach based on Mediated Learning Experience (MLE) theory by Feurstein and Vygotsky’s sociocultural theory. This was quasi experimental research which was comparing the experimental class that was given Rigorous Mathematical Thinking (RMT) as learning method and control class that was given Direct Learning (DL) as the conventional learning activity. This study examined whether there was different effect of two learning method toward conceptual understanding of Junior High School students. The data was analyzed by using Independent t-test and obtained a significant difference of mean value between experimental and control class on geometry conceptual understanding. Further, by semi-structure interview known that students taught by RMT had deeper conceptual understanding than students who were taught by conventional way. By these result known that Rigorous Mathematical Thinking (RMT) as learning method have positive impact toward Geometry conceptual understanding.

A novel Multi-Agent Ada-Boost algorithm for predicting protein structural class with the information of protein secondary structure.

PubMed

Fan, Ming; Zheng, Bin; Li, Lihua

2015-10-01

Knowledge of the structural class of a given protein is important for understanding its folding patterns. Although a lot of efforts have been made, it still remains a challenging problem for prediction of protein structural class solely from protein sequences. The feature extraction and classification of proteins are the main problems in prediction. In this research, we extended our earlier work regarding these two aspects. In protein feature extraction, we proposed a scheme by calculating the word frequency and word position from sequences of amino acid, reduced amino acid, and secondary structure. For an accurate classification of the structural class of protein, we developed a novel Multi-Agent Ada-Boost (MA-Ada) method by integrating the features of Multi-Agent system into Ada-Boost algorithm. Extensive experiments were taken to test and compare the proposed method using four benchmark datasets in low homology. The results showed classification accuracies of 88.5%, 96.0%, 88.4%, and 85.5%, respectively, which are much better compared with the existing methods. The source code and dataset are available on request.

A pragmatic comparison of two diabetes education programs in improving type 2 diabetes mellitus outcomes.

PubMed

Dorland, Katherine; Liddy, Clare

2014-03-28

Although it is clear that education programs constitute key elements of improved diabetes management, uncertainty exists regarding the optimal method of delivering that education. In addition to the lack of consensus regarding the most appropriate delivery methods for these programs, there is a paucity of research which evaluates these methods in terms of specific clinical outcomes. This pragmatic study compares the effectiveness of two distinct diabetes education programs in improving clinical outcomes in patients with type 2 diabetes mellitus in a primary care setting. The two diabetes education classes (n = 80 enrolled) retrospectively evaluated were 'the ABC's of Diabetes' (one 2-hour didactic teaching session) and 'Conversation Maps' (3 highly interactive weekly classes, 6 hours in total). Eligible participants (n = 32) had their charts reviewed and outcome measures (i.e., glycosylated hemoglobin levels (HbA1c), low density lipoprotein (LDL), systolic blood pressure (SBP), diastolic blood pressure (DBP), and weight) recorded 1 year prior to and 6 months following the class. Pre- and post-class outcome measures were compared. A trend towards lower HbA1c was observed after completion of both classes, with an average reduction of 0.2%, and 0.6% after 6 months in the 'ABC's of Diabetes' class and 'Conversation Maps' class respectively. A significant decrease in weight was observed 6 months after the 'ABC's of Diabetes' class (p = 0.028), and in LDL after the 'Conversation Maps' class (p = 0.049). Patients with HbA1c ≥ 8% showed a drop of 1.1% in HbA1c 3 months after either class (p = 0.004). No significant difference in outcomes was found between the two diabetes education classes assessed. There was a trend towards improved glycemic control after both classes, and patients with high HbA1c levels demonstrated statistically significant improvements. This indicates that shorter sessions using didactic teaching methods may be equally effective in producing improvements in diabetes self-management as more intensive course formats.

Application of Model Project Based Learning on Integrated Science in Water Pollution

NASA Astrophysics Data System (ADS)

Yamin, Y.; Permanasari, A.; Redjeki, S.; Sopandi, W.

2017-09-01

The function of this research was to analyze the influence model Project Based Learning (PjBl) on integrated science about the concept mastery for junior high school students. Method used for this research constitutes the quasi of experiment method. Population and sample for this research are the students junior high school in Bandung as many as two classes to be experiment and control class. The instrument that used for this research is the test concept mastery, assessment questionnaire of product and the questionnaire responses of the student about learning integrated science. Based on the result of this research get some data that with accomplishment the model of PjBl. Learning authority of integrated science can increase the concept mastery for junior high school students. The highest increase in the theme of pollution water is in the concept of mixtures and the separation method. The students give a positive response in learning of integrated science for the theme of pollution of the water used model PjBL with questionnaire of the opinion aspect in amount of 83.5%, the anxiety of the students in amount of 95.5%, the profit learning model of PjBL in amount of 96.25% and profit learning of integrated science in amount of 95.75%.

Registration: Science Adventures

Science.gov Websites

classes, students must pre-register using one of two methods: Online Form or Downloadable form Accelerator Laboratory Office of Science / U.S. Department of Energy Managed by Fermi Research Alliance, LLC

Airplane detection in remote sensing images using convolutional neural networks

NASA Astrophysics Data System (ADS)

Ouyang, Chao; Chen, Zhong; Zhang, Feng; Zhang, Yifei

2018-03-01

Airplane detection in remote sensing images remains a challenging problem and has also been taking a great interest to researchers. In this paper we propose an effective method to detect airplanes in remote sensing images using convolutional neural networks. Deep learning methods show greater advantages than the traditional methods with the rise of deep neural networks in target detection, and we give an explanation why this happens. To improve the performance on detection of airplane, we combine a region proposal algorithm with convolutional neural networks. And in the training phase, we divide the background into multi classes rather than one class, which can reduce false alarms. Our experimental results show that the proposed method is effective and robust in detecting airplane.

Putting the person back into psychopathology: an intervention to reduce mental illness stigma in the classroom.

PubMed

Mann, Caroline E; Himelein, Melissa J

2008-07-01

This research aims to compare the effectiveness of two methods of teaching psychopathology in reducing stigma toward mental illness. Based on previous stigma research, a first-person, narrative approach was contrasted with traditional, diagnosis-centered education. STUDY 1 Participants consisted of 53 undergraduates at a small, public university enrolled in two introductory psychology classes. During six hours of class time focused on psychopathology, one class received the experimental pedagogy while the other served as a control, receiving traditional instruction. Stigma was assessed pre- and post-intervention using a social distance scale and vignette design. Statistical analyses compared means and change scores between the two classes. STUDY 1 Students in the experimental classroom showed a significant decrease in stigma following the intervention, whereas those in the control group showed no change. STUDY 2 A follow-up study was conducted to replicate the promising effects demonstrated in Study 1. Two additional classrooms (n = 48) were both exposed to the first-person, narrative pedagogy, and their stigma monitored pre- and post- intervention. STUDY 2 Students reported a significant decrease in stigma following the intervention. Together, these studies suggest that traditional methods of teaching psychopathology do not lessen mental illness stigma, a serious concern that can potentially be reconciled by incorporating more person-centered instructional methods. Results are discussed in terms of their implications for the way psychopathology is taught throughout the mental health field, as well as the practical application of stigma interventions woven into the curriculum.

From field schools and the lecture hall to online: Hands-on teaching based on the real science experience worldwide for MOOCs ?

NASA Astrophysics Data System (ADS)

Huettmann, F.

2015-12-01

University-teaching is among the most difficult teaching tasks. That's because it involves to present front-line research schemes to students with complex backgrounds as a precious human resource of the future using, latest teaching styles, and many institutional fallacies to handle well. Here I present 15 years of experience from teaching in field schools, in the class room, and with pedagogical methods such as traditional top-down teaching, inquiry-based learning, eLearning, and flipped classrooms. I contrast those with teaching Massive Open Access Online Classes (MOOC) style. Here I review pros and cons of all these teaching methods and provide and outlook taking class evaluations, cost models and satisfaction of students, teachers, the university and the wider good into account.

Working-Class Students and Historical Inquiry: Transforming Learning in the Classroom

ERIC Educational Resources Information Center

Schuster, Leslie A.

2008-01-01

For the past twelve years, the author has been teaching a lower division introductory historical methods course that uses active learning to introduce students to the issues and practices of historical methods, the "how to" of historical inquiry, research and writing. In her methods course, she is working to take into account the perspectives and…

Digital modelling of landscape and soil in a mountainous region: A neuro-fuzzy approach

NASA Astrophysics Data System (ADS)

Viloria, Jesús A.; Viloria-Botello, Alvaro; Pineda, María Corina; Valera, Angel

2016-01-01

Research on genetic relationships between soil and landforms has largely improved soil mapping. Recent technological advances have created innovative methods for modelling the spatial soil variation from digital elevation models (DEMs) and remote sensors. This generates new opportunities for the application of geomorphology to soil mapping. This study applied a method based on artificial neural networks and fuzzy clustering to recognize digital classes of land surfaces in a mountainous area in north-central Venezuela. The spatial variation of the fuzzy memberships exposed the areas where each class predominates, while the class centres helped to recognize the topographic attributes and vegetation cover of each class. The obtained classes of terrain revealed the structure of the land surface, which showed regional differences in climate, vegetation, and topography and landscape stability. The land-surface classes were subdivided on the basis of the geological substratum to produce landscape classes that additionally considered the influence of soil parent material. These classes were used as a framework for soil sampling. A redundancy analysis confirmed that changes of landscape classes explained the variation in soil properties (p = 0.01), and a Kruskal-Wallis test showed significant differences (p = 0.01) in clay, hydraulic conductivity, soil organic carbon, base saturation, and exchangeable Ca and Mg between classes. Thus, the produced landscape classes correspond to three-dimensional bodies that differ in soil conditions. Some changes of land-surface classes coincide with abrupt boundaries in the landscape, such as ridges and thalwegs. However, as the model is continuous, it disclosed the remaining variation between those boundaries.

Ask "Teaching Sociology": What Should Faculty Consider before Having Students Conduct Research in a Class?

ERIC Educational Resources Information Center

Lowney, Kathleen S.

2014-01-01

There are many things that sociology faculty have to consider as they begin planning a student course such as: (1) why students need to understand scientific methods, by conducting research for themselves; (2) What specific learning goals and objectives will be met by students doing research, either individually or collectively?; (3) Why do…

The Effects of Formative Assessment on Academic Achievement, Attitudes toward the Lesson, and Self-Regulation Skills

ERIC Educational Resources Information Center

Ozan, Ceyhun; Kincal, Remzi Y.

2018-01-01

The purpose of this research is to examine the effects of formative assessment practices on students' academic achievement, attitudes toward lessons, and self-regulation skills in the fifth-grade social studies class. Mixed method research was used to conduct the study. The research group consisted of 45 students in the fifth grade of a secondary…

[Research on the methods for multi-class kernel CSP-based feature extraction].

PubMed

Wang, Jinjia; Zhang, Lingzhi; Hu, Bei

2012-04-01

To relax the presumption of strictly linear patterns in the common spatial patterns (CSP), we studied the kernel CSP (KCSP). A new multi-class KCSP (MKCSP) approach was proposed in this paper, which combines the kernel approach with multi-class CSP technique. In this approach, we used kernel spatial patterns for each class against all others, and extracted signal components specific to one condition from EEG data sets of multiple conditions. Then we performed classification using the Logistic linear classifier. Brain computer interface (BCI) competition III_3a was used in the experiment. Through the experiment, it can be proved that this approach could decompose the raw EEG singles into spatial patterns extracted from multi-class of single trial EEG, and could obtain good classification results.

Beyond Bigotry: Teaching about Unconscious Prejudice

ERIC Educational Resources Information Center

Ghoshal, Raj Andrew; Lippard, Cameron; Ribas, Vanesa; Muir, Ken

2013-01-01

Researchers have demonstrated that unconscious prejudices around characteristics such as race, gender, and class are common, even among people who avow themselves unbiased. The authors present a method for teaching about implicit racial bias using online Implicit Association Tests. The authors do not claim that their method rids students of…

Methods for Instructional Diagnosis with Limited Available Resources.

ERIC Educational Resources Information Center

Gillmore, Gerald M.; Clark, D. Joseph

College teaching should be approached with the same careful delineation of problems and systematic attempts to find solutions which characterize research. Specific methods for the diagnosis of instructional problems include audio-video taping, use of teaching assistants, colleague assistance, classroom tests, student projects in and out of class,…

BiodMHC: an online server for the prediction of MHC class II-peptide binding affinity.

PubMed

Wang, Lian; Pan, Danling; Hu, Xihao; Xiao, Jinyu; Gao, Yangyang; Zhang, Huifang; Zhang, Yan; Liu, Juan; Zhu, Shanfeng

2009-05-01

Effective identification of major histocompatibility complex (MHC) molecules restricted peptides is a critical step in discovering immune epitopes. Although many online servers have been built to predict class II MHC-peptide binding affinity, they have been trained on different datasets, and thus fail in providing a unified comparison of various methods. In this paper, we present our implementation of seven popular predictive methods, namely SMM-align, ARB, SVR-pairwise, Gibbs sampler, ProPred, LP-top2, and MHCPred, on a single web server named BiodMHC (http://biod.whu.edu.cn/BiodMHC/index.html, the software is available upon request). Using a standard measure of AUC (Area Under the receiver operating characteristic Curves), we compare these methods by means of not only cross validation but also prediction on independent test datasets. We find that SMM-align, ProPred, SVR-pairwise, ARB, and Gibbs sampler are the five best-performing methods. For the binding affinity prediction of class II MHC-peptide, BiodMHC provides a convenient online platform for researchers to obtain binding information simultaneously using various methods.

Analysis of self-oscillating dc-to-dc converters

NASA Technical Reports Server (NTRS)

Burger, P.

1974-01-01

The basic operational characteristics of dc-to-dc converters are analyzed along with the basic physical characteristics of power converters. A simple class of dc-to-dc power converters are chosen which could satisfy any set of operating requirements, and three different controlling methods in this class are described in detail. Necessary conditions for the stability of these converters are measured through analog computer simulation whose curves are related to other operational characteristics, such as ripple and regulation. Further research is suggested for the solution of absolute stability and efficient physical design of this class of power converters.

Efforts to Handle Waste through Science, Environment, Technology and Society (SETS)

NASA Astrophysics Data System (ADS)

Rahmawati, D.; Rahman, T.; Amprasto, A.

2017-09-01

This research to identify the attempt to deal with the waste through a learning SETS to facilitate troubleshooting and environmentally conscious high school students. The research method is weak experiment, with the design of the study “The One-group pretest-Posttest Design”. The population used in this study is an entire senior high school class in Ciamis Regency of Indonesia many as 10 classes totaling 360 students. The sample used in this study were 1 class. Data collected through pretest and posttest to increase problem-solving skills and environmental awareness of students. Instruments used in this research is to test the ability to solve the problem on the concept of Pollution and Environmental Protection, in the form of essays by 15 matter, the attitude scale questionnaire of 28 statements. The analysis N-gain average showed that the SETS problem-solving skills and environmental awareness of students in the medium category. In addition, students’ creativity in finding out pretty good waste management by creating products that are aesthetically valuable and economic appropriately.

Swine Leukocyte Antigen Diversity in Canadian Specific Pathogen-Free Yorkshire and Landrace Pigs

PubMed Central

Gao, Caixia; Quan, Jinqiang; Jiang, Xinjie; Li, Changwen; Lu, Xiaoye; Chen, Hongyan

2017-01-01

The highly polymorphic swine major histocompatibility complex (MHC), termed swine leukocyte antigen (SLA), is associated with different levels of immunologic responses to infectious diseases, vaccines, and transplantation. Pig breeds with known SLA haplotypes are important genetic resources for biomedical research. Canadian Yorkshire and Landrace pigs represent the current specific pathogen-free (SPF) breeding stock maintained in the isolation environment at the Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences. In this study, we identified 61 alleles at five polymorphic SLA loci (SLA-1, SLA-2, SLA-3, DRB1, and DQB1) representing 17 class I haplotypes and 11 class II haplotypes using reverse transcription-polymerase chain reaction (RT-PCR) sequence-based typing and PCR-sequence specific primers methods in 367 Canadian SPF Yorkshire and Landrace pigs. The official designation of the alleles has been assigned by the SLA Nomenclature Committee of the International Society for Animal Genetics and released in updated Immuno Polymorphism Database-MHC SLA sequence database [Release 2.0.0.3 (2016-11-03)]. The submissions confirmed some unassigned alleles and standardized nomenclatures of many previously unconfirmed alleles in the GenBank database. Three class I haplotypes, Hp-37.0, 63.0, and 73.0, appeared to be novel and have not previously been reported in other pig populations. One crossover within the class I region and two between class I and class II regions were observed, resulting in three new recombinant haplotypes. The presence of the duplicated SLA-1 locus was confirmed in three class I haplotypes Hp-28.0, Hp-35.0, and Hp-63.0. Furthermore, we also analyzed the functional diversities of 19 identified frequent SLA class I molecules in this study and confirmed the existence of four supertypes using the MHCcluster method. These results will be useful for studying the adaptive immune response and immunological phenotypic differences in pigs, screening potential T-cell epitopes, and further developing the more effective vaccines. PMID:28360911

Naming, the formation of stimulus classes, and applied behavior analysis.

PubMed Central

Stromer, R; Mackay, H A; Remington, B

1996-01-01

The methods used in Sidman's original studies on equivalence classes provide a framework for analyzing functional verbal behavior. Sidman and others have shown how teaching receptive, name-referent matching may produce rudimentary oral reading and word comprehension skills. Eikeseth and Smith (1992) have extended these findings by showing that children with autism may acquire equivalence classes after learning to supply a common oral name to each stimulus in a potential class. A stimulus class analysis suggests ways to examine (a) the problem of programming generalization from teaching situations to other environments, (b) the expansion of the repertoires that occur in those settings, and (c) the use of naming to facilitate these forms of generalization. Such research will help to clarify and extend Horne and Lowe's recent (1996) account of the role of verbal behavior in the formation of stimulus classes. PMID:8810064

Productive whole-class discussions: A qualitative analysis of peer leader behaviors in general chemistry

NASA Astrophysics Data System (ADS)

Eckart, Teresa Mcclain

The intention of this research was to describe behaviors and characteristics of General Chemistry I peer leaders using a pedagogical reform method referred to as Peer-led Guided Inquiry (PLGI), and to discuss the ways in which these peer leaders created productive whole-class discussions. This reform technique engaged students to work on guided inquiry activities while working cooperatively in small groups, led by undergraduate peer leaders. These sessions were video recorded and transcribed. The data was evaluated using grounded theory methods of analysis. This study examined the dialog between students and peer leaders, paying specific attention to question types and observed patterns of interactions. The research took shape by examining the kinds of questions asked by peer leaders and the purposes these questions served. In addition to looking at questions, different kinds of behaviors displayed by peer leaders during their small group sessions were also observed. A close examination of peer leader questions and behaviors aided in developing an answer to the overall research question regarding what factors are associated with productive whole-class discussions. Five major categories of peer leader behaviors evolved from the data and provided a means to compare and contrast productive whole-class discussions. While no category single-handedly determined if a discussion was good or bad, there was a tendency for peer leaders who exhibited positive traits in at least three of the following categories to have consistently better whole-class discussions: Procedural Practices, Supervisory Qualities, Questioning Techniques, Feedback/Responses, and Interpersonal Skills. Furthermore, each of the major categories is tied directly to Interpersonal, Communication, and Leadership skills and their interactions with each other. This study also addressed applications that each of these categories has on instructional practices and their need in peer leader training. In addition, a scale was developed for rating the relative effectiveness of whole-class discussions in terms of student participation. This study provides a tool for measuring productive whole-class discussions, as well as practical applications for peer leader (or teacher) training.

An ontology-based method for secondary use of electronic dental record data

PubMed Central

Schleyer, Titus KL; Ruttenberg, Alan; Duncan, William; Haendel, Melissa; Torniai, Carlo; Acharya, Amit; Song, Mei; Thyvalikakath, Thankam P.; Liu, Kaihong; Hernandez, Pedro

A key question for healthcare is how to operationalize the vision of the Learning Healthcare System, in which electronic health record data become a continuous information source for quality assurance and research. This project presents an initial, ontology-based, method for secondary use of electronic dental record (EDR) data. We defined a set of dental clinical research questions; constructed the Oral Health and Disease Ontology (OHD); analyzed data from a commercial EDR database; and created a knowledge base, with the OHD used to represent clinical data about 4,500 patients from a single dental practice. Currently, the OHD includes 213 classes and reuses 1,658 classes from other ontologies. We have developed an initial set of SPARQL queries to allow extraction of data about patients, teeth, surfaces, restorations and findings. Further work will establish a complete, open and reproducible workflow for extracting and aggregating data from a variety of EDRs for research and quality assurance. PMID:24303273

Curriculum Development in Studio-Style University Physics and Implications for Dissemination of Research-Based Reforms

ERIC Educational Resources Information Center

Foote, Kathleen T.

2016-01-01

Over the past few decades, a growing body of evidence demonstrates that students learn best in engaging, interactive, collaborative, and inquiry-based environments. However, most college science classes are still taught with traditional methods suggesting the existing selection of research-based instructional materials has not widely transformed…

A Practical Method of Policy Analysis by Estimating Effect Size

ERIC Educational Resources Information Center

Phelps, James L.

2011-01-01

The previous articles on class size and other productivity research paint a complex and confusing picture of the relationship between policy variables and student achievement. Missing is a conceptual scheme capable of combining the seemingly unrelated research and dissimilar estimates of effect size into a unified structure for policy analysis and…

Natives and Academics: Researching and Writing about American Indians.

ERIC Educational Resources Information Center

Mihesuah, Devon A., Ed.

This anthology provides Native perspectives on the ethics of researching, writing about, and teaching about American Indians, and may be used as a text for discussion in American Indian Studies classes. Leading Native scholars discuss the representativeness of Native informants, the merits of various data collection methods, the role and veracity…

Teacher Research on Funds of Knowledge: Learning from Households. Educational Practice Report: 6.

ERIC Educational Resources Information Center

Gonzalez, Norma; And Others

The conceptualization of working-class Latino students' households as being rich in funds of knowledge has engendered transformative consequences for teachers, parents, students, and researchers. The qualitative study of their own students' households by teachers is a viable method for bridging the gap between school and community. An assumption…

Investigating Visitor Profiles as a Valuable Addition to Museum Research

ERIC Educational Resources Information Center

Lewalter, Doris; Phelan, Siëlle; Geyer, Claudia; Specht, Inga; Grüninger, Rahel; Schnotz, Wolfgang

2015-01-01

There is a long tradition of museum research assessing visitors' personal background. In this article, we suggest an insightful way to enhance and intensify visitor analyses and adopt a more integrative approach. To this end, we draw attention to Latent Class Analysis (LCA), a classification method that allows us to investigate visitor profiles…

Linking Class and Community: An Investigation of Service Learning

ERIC Educational Resources Information Center

Fleck, Bethany; Hussey, Heather D.; Rutledge-Ellison, Lily

2017-01-01

This study contributes to the service learning (SL) literature by providing new empirical evidence of learning from a problem-based SL research project conducted in a developmental research methods course. Two sections of the course taught in a traditional manner were compared to two sections of the course taught with an integrated SL project…

Collaborative Writing in a Statistics and Research Methods Course.

ERIC Educational Resources Information Center

Dunn, Dana S.

1996-01-01

Describes a collaborative writing project in which students must identify key variables, search and read relevant literature, and reason through a research idea by working closely with a partner. The end result is a polished laboratory report in the APA style. The class includes a peer review workshop prior to final editing. (MJP)

Best practices for learning physiology: combining classroom and online methods.

PubMed

Anderson, Lisa C; Krichbaum, Kathleen E

2017-09-01

Physiology is a requisite course for many professional allied health programs and is a foundational science for learning pathophysiology, health assessment, and pharmacology. Given the demand for online learning in the health sciences, it is important to evaluate the efficacy of online and in-class teaching methods, especially as they are combined to form hybrid courses. The purpose of this study was to compare two hybrid physiology sections in which one section was offered mostly in-class (85% in-class), and the other section was offered mostly online (85% online). The two sections in 2 yr ( year 1 and year 2 ) were compared in terms of knowledge of physiology measured in exam scores and pretest-posttest improvement, and in measures of student satisfaction with teaching. In year 1 , there were some differences on individual exam scores between the two sections, but no significant differences in mean exam scores or in pretest-posttest improvements. However, in terms of student satisfaction, the mostly in-class students in year 1 rated the instructor significantly higher than did the mostly online students. Comparisons between in-class and online students in the year 2 cohort yielded data that showed that mean exam scores were not statistically different, but pre-post changes were significantly greater in the mostly online section; student satisfaction among mostly online students also improved significantly. Education researchers must investigate effective combinations of in-class and online methods for student learning outcomes, while maintaining the flexibility and convenience that online methods provide. Copyright © 2017 the American Physiological Society.

The Emotion Recognition System Based on Autoregressive Model and Sequential Forward Feature Selection of Electroencephalogram Signals

PubMed Central

Hatamikia, Sepideh; Maghooli, Keivan; Nasrabadi, Ali Motie

2014-01-01

Electroencephalogram (EEG) is one of the useful biological signals to distinguish different brain diseases and mental states. In recent years, detecting different emotional states from biological signals has been merged more attention by researchers and several feature extraction methods and classifiers are suggested to recognize emotions from EEG signals. In this research, we introduce an emotion recognition system using autoregressive (AR) model, sequential forward feature selection (SFS) and K-nearest neighbor (KNN) classifier using EEG signals during emotional audio-visual inductions. The main purpose of this paper is to investigate the performance of AR features in the classification of emotional states. To achieve this goal, a distinguished AR method (Burg's method) based on Levinson-Durbin's recursive algorithm is used and AR coefficients are extracted as feature vectors. In the next step, two different feature selection methods based on SFS algorithm and Davies–Bouldin index are used in order to decrease the complexity of computing and redundancy of features; then, three different classifiers include KNN, quadratic discriminant analysis and linear discriminant analysis are used to discriminate two and three different classes of valence and arousal levels. The proposed method is evaluated with EEG signals of available database for emotion analysis using physiological signals, which are recorded from 32 participants during 40 1 min audio visual inductions. According to the results, AR features are efficient to recognize emotional states from EEG signals, and KNN performs better than two other classifiers in discriminating of both two and three valence/arousal classes. The results also show that SFS method improves accuracies by almost 10-15% as compared to Davies–Bouldin based feature selection. The best accuracies are %72.33 and %74.20 for two classes of valence and arousal and %61.10 and %65.16 for three classes, respectively. PMID:25298928

A Comparison of Microplastic Ecological Risk in Sediments of Shanghai and Hong Kong Based on the Ecological Risk Index and Plastic Hazard Classes

NASA Astrophysics Data System (ADS)

Xu, P.; Li, D.

2017-12-01

Microplastic which refers to the plastic fragments and particles with diameters less than 5 mm has potential threatening impacts on various ambient medium. The shortage of knowledge of ecological risks from microplastics inhibits the scientific research process. Based on the research of the literature widely, this paper analyzed potential ecological risk of microplastic in sediment of Shanghai and Hong Kong by means of ecological risk index and hazard classes developed by UN Globally Harmonized System. Combining of the two assessment method, results showed that the order of microplastic pollution extents in sediments was Changjiang Estuary

The influence of inquiry learning model on additives theme with ethnoscience content to cultural awareness of students

NASA Astrophysics Data System (ADS)

Sudarmin, S.; Selia, E.; Taufiq, M.

2018-03-01

The purpose of this research is to determine the influence of inquiry learning model on additives theme with ethnoscience content to cultural awareness of students and how the students’ responses to learning. The method applied in this research is a quasi-experimental with non-equivalent control group design. The sampling technique applied in this research is the technique of random sampling. The samples were eight grade students of one of junior high schools in Semarang. The results of this research were (1) thestudents’ cultural awareness of the experiment class is better than the control class (2) inquiry learning model with ethnoscience content strongly influencing the cultural awareness of students by 78% and (3) students gave positive responses to inquiry learning model with ethnoscience content. The conclusions of this research are inquiry-learning model with ethnoscience content has positive influence on students’ cultural awareness.

"There's so Much More to It than What I Initially Thought": Stepping into Researchers' Shoes with a Class Activity in a First Year Psychology Survey Course

ERIC Educational Resources Information Center

Tatlow-Golden, Mimi

2015-01-01

In psychology, it is widely agreed that research methods, although central to the discipline, are particularly challenging to learn and teach, particularly at introductory level. This pilot study explored the potential of embedding a student-conducted research activity in a one-semester undergraduate "Introduction to Psychology" survey…

Learning Achievement Improvement Efforts Course Learn and Learning Using the Jigsaw Method and Card Media in STKIP PGRI Ngawi 2014/2015 Academic Year

ERIC Educational Resources Information Center

Haryono

2015-01-01

Subject Teaching and Learning is a basic educational courses that must be taken by all student teachers. Class Action Research aims to improve student achievement Teaching and Learning course by applying Jigsaw and media cards. Research procedures using Classroom Action Research (CAR) with multiple cycles. Each cycle includes four phases:…

Comparison effectiveness of cooperative learning type STAD with cooperative learning type TPS in terms of mathematical method of Junior High School students

NASA Astrophysics Data System (ADS)

Wahyuni, A.

2018-05-01

This research is aimed to find out whether the model of cooperative learning type Student Team Achievement Division (STAD) is more effective than cooperative learning type Think-Pair-Share in SMP Negeri 7 Yogyakarta. This research was a quasi-experimental research, using two experimental groups. The population of research was all students of 7thclass in SMP Negeri 7 Yogyakarta that consists of 5 Classes. From the population were taken 2 classes randomly which used as sample. The instrument to collect data was a description test. Measurement of instrument validity use content validity and construct validity, while measuring instrument reliability use Cronbach Alpha formula. To investigate the effectiveness of cooperative learning type STAD and cooperative learning type TPS on the aspect of student’s mathematical method, the datas were analyzed by one sample test. Comparing the effectiveness of cooperative learning type STAD and TPS in terms of mathematical communication skills by using t-test. Normality test was not conducted because the sample of research more than 30 students, while homogeneity tested by using Kolmogorov Smirnov test. The analysis was performed at 5% confidence level.The results show as follows : 1) The model of cooperative learning type STAD and TPS are effective in terms of mathematical method of junior high school students. 2). STAD type cooperative learning model is more effective than TPS type cooperative learning model in terms of mathematical methods of junior high school students.

Genetic algorithm to solve the problems of lectures and practicums scheduling

NASA Astrophysics Data System (ADS)

Syahputra, M. F.; Apriani, R.; Sawaluddin; Abdullah, D.; Albra, W.; Heikal, M.; Abdurrahman, A.; Khaddafi, M.

2018-02-01

Generally, the scheduling process is done manually. However, this method has a low accuracy level, along with possibilities that a scheduled process collides with another scheduled process. When doing theory class and practicum timetable scheduling process, there are numerous problems, such as lecturer teaching schedule collision, schedule collision with another schedule, practicum lesson schedules that collides with theory class, and the number of classrooms available. In this research, genetic algorithm is implemented to perform theory class and practicum timetable scheduling process. The algorithm will be used to process the data containing lists of lecturers, courses, and class rooms, obtained from information technology department at University of Sumatera Utara. The result of scheduling process using genetic algorithm is the most optimal timetable that conforms to available time slots, class rooms, courses, and lecturer schedules.

Class Energy Image Analysis for Video Sensor-Based Gait Recognition: A Review

PubMed Central

Lv, Zhuowen; Xing, Xianglei; Wang, Kejun; Guan, Donghai

2015-01-01

Gait is a unique perceptible biometric feature at larger distances, and the gait representation approach plays a key role in a video sensor-based gait recognition system. Class Energy Image is one of the most important gait representation methods based on appearance, which has received lots of attentions. In this paper, we reviewed the expressions and meanings of various Class Energy Image approaches, and analyzed the information in the Class Energy Images. Furthermore, the effectiveness and robustness of these approaches were compared on the benchmark gait databases. We outlined the research challenges and provided promising future directions for the field. To the best of our knowledge, this is the first review that focuses on Class Energy Image. It can provide a useful reference in the literature of video sensor-based gait representation approach. PMID:25574935

Obesity and Cigarette Smoking: Extending the Link to E cigarette/Vaping Use

PubMed Central

Lanza, H. Isabella; Pittman, Patricia; Batshoun, Jennifer

2017-01-01

Objectives In recent years, electronic tobacco (e-cigarette/vaping) use among young adults has grown exponentially. Given past research linking obesity and cigarette smoking, assessing whether this relationship extends to electronic tobacco use is warranted. The current study examined weight status as a correlate of substance use patterns reflecting electronic tobacco use. Methods Survey data were collected from a convenience sample of 452 (59% female) undergraduates attending a large, public university during the 2015–2016 academic year. Latent class analysis (LCA) was conducted to identify substance use classes and examine weight status as a covariate of class membership. Results LCA analyses identified 4 classes: High Substance Use (19%), Risky Alcohol Use (14%), Cigarette/Electronic Tobacco Use (17%), and Low Substance Use (50%). Both obesity status and greater deviation from one’s group body mass index (BMI) norm were associated with a higher likelihood of belonging to the Cigarette/Electronic Tobacco Use class. Conclusions Findings suggest that electronic tobacco use may fit well into previously established relationships between higher weight status and tobacco use. Future research should examine the longitudinal processes and pathways underlying the relationship between weight status and electronic tobacco use. PMID:28376978

Heterogeneity among violence-exposed women: applying person-oriented research methods.

PubMed

Nurius, Paula S; Macy, Rebecca J

2008-03-01

Variability of experience and outcomes among violence-exposed people pose considerable challenges toward developing effective prevention and treatment protocols. To address these needs, the authors present an approach to research and a class of methodologies referred to as person oriented. Person-oriented tools support assessment of meaningful patterns among people that distinguish one group from another, subgroups for whom different interventions are indicated. The authors review the conceptual base of person-oriented methods, outline their distinction from more familiar variable-oriented methods, present descriptions of selected methods as well as empirical applications of person-oriented methods germane to violence exposure, and conclude with discussion of implications for future research and translation between research and practice. The authors focus on violence against women as a population, drawing on stress and coping theory as a theoretical framework. However, person-oriented methods hold utility for investigating diversity among violence-exposed people's experiences and needs across populations and theoretical foundations.

The monitoring method of water quality in Ciliwung River for post restoration

NASA Astrophysics Data System (ADS)

Diyanti; Saleh Pallu, Muh.; Tahir Lopa, Rita; Arsyad Thaha, M.

2018-04-01

Ciliwung River is the biggest river which flows across DKI Jakarta, where the river flows through the city, the settlements, and slums in Jakarta. Problems that occur in the Ciliwung River in Jakarta one of which is the quality of water. This research using some datas, there are secondary and primary data like river dimension and visualization of water quality of Ciliwung River. This research using a descriptive method which describes the comparison between a physical and chemical parameter for the durationn of three (3) years post-restoration. The physical parameters used in this reasearch are temperature and TDS, the chemical parameters are pH dan DO. Based on the result of data analyzing, we get the temperature average parameter pre-restoration is 28.30°C and TDS level is 151.96 mg/L, so the logical of standard quality criteria match with class 3. Post-restoration got the temperature 22.06°C and TDS level 224.20mg/L, so that water quality criteria match with class 2. For the chemical parameters the average pH and DO values pre-restoration are 6.84 and 4mg/L, respectively which match with class 2 category. Post-restoration, the chemical parameter about pH level is 7.41 and DO 8.4 mg/L, so the standard quality criteria match with class 1.

Authentication of bee pollen grains in bright-field microscopy by combining one-class classification techniques and image processing.

PubMed

Chica, Manuel

2012-11-01

A novel method for authenticating pollen grains in bright-field microscopic images is presented in this work. The usage of this new method is clear in many application fields such as bee-keeping sector, where laboratory experts need to identify fraudulent bee pollen samples against local known pollen types. Our system is based on image processing and one-class classification to reject unknown pollen grain objects. The latter classification technique allows us to tackle the major difficulty of the problem, the existence of many possible fraudulent pollen types, and the impossibility of modeling all of them. Different one-class classification paradigms are compared to study the most suitable technique for solving the problem. In addition, feature selection algorithms are applied to reduce the complexity and increase the accuracy of the models. For each local pollen type, a one-class classifier is trained and aggregated into a multiclassifier model. This multiclassification scheme combines the output of all the one-class classifiers in a unique final response. The proposed method is validated by authenticating pollen grains belonging to different Spanish bee pollen types. The overall accuracy of the system on classifying fraudulent microscopic pollen grain objects is 92.3%. The system is able to rapidly reject pollen grains, which belong to nonlocal pollen types, reducing the laboratory work and effort. The number of possible applications of this authentication method in the microscopy research field is unlimited. Copyright © 2012 Wiley Periodicals, Inc.

Understanding Sample Surveys: Selective Learning about Social Science Research Methods

ERIC Educational Resources Information Center

Currin-Percival, Mary; Johnson, Martin

2010-01-01

We investigate differences in what students learn about survey methodology in a class on public opinion presented in two critically different ways: with the inclusion or exclusion of an original research project using a random-digit-dial telephone survey. Using a quasi-experimental design and data obtained from pretests and posttests in two public…

Bridging Gaps and Preserving Memories through Oral History Research and Writing

ERIC Educational Resources Information Center

Dayton-Wood, Amy; Hammonds, Laren; Matherson, Lisa; Tollison, Leah

2012-01-01

In spring of 2010, three high school teachers and their students paired with a college teacher and her advanced writing class to collaborate on oral history research and writing. While many people think of oral history as "just stories," the authors introduce it to students as a rigorous method for documenting historical events, cultural…

Contemporary Issues in Group Learning in Undergraduate Science Classrooms: A Perspective from Student Engagement

ERIC Educational Resources Information Center

Hodges, Linda C.

2018-01-01

As the use of collaborative-learning methods such as group work in science, technology, engineering, and mathematics classes has grown, so has the research into factors impacting effectiveness, the kinds of learning engendered, and demographic differences in student response. Generalizing across the range of this research is complicated by the…

Identifying and Remediating Dyslexia in the Reception Year, a New Possibility?

ERIC Educational Resources Information Center

Montgomery, Diane

2017-01-01

Research has shown that dyslexics have an inability to establish sound-symbol correspondence, phonological awareness and alphabetic knowledge by the normal teaching methods used in schools. In new research with Reception year children, ages 4 and 5 years, it was found that 90 per cent on entry to 8 Reception classes had not established sound to…

Risk-taking behaviors and subgrouping of suicide in Iran: A latent class analysis of national registries data.

PubMed

Hajebi, Ahmad; Abbasi-Ghahramanloo, Abbas; Hashemian, Seyed Sepehr; Khatibi, Seyed Reza; Ghasemzade, Masomeh; Khodadost, Mahmoud

2017-09-01

Suicide is one the most important public health problem which is rapidly growing concerns. The aim of this study was to subgroup suicide using LCA method. This cross-sectional study was conducted in Iran based on 66990 records registered in Ministry of Health in 2014. A case report questionnaire in the form of software was used for case registries. Latent class analysis was used to achieve the research objectives. Four latent classes were identified; (a) Non-lethal attempters without a history of psychiatric disorders, (b) Non-lethal attempters with a history of psychiatric disorders, (c) Lethal attempters without a history of psychiatric disorders, (d) Lethal attempters with a history of psychiatric disorders. The probability of completed/an achieved suicide is high in lethal attempter classes. Being male increases the risk of inclusion in lethal attempters' classes (OR = 4.93). Also, being single (OR = 1.16), having an age lower than 25 years (OR = 1.14) and being a rural citizen (OR = 2.36) associate with lethal attempters classes. The males tend to use more violent methods and have more completed suicide. Majority of the individuals are non-lethal attempters who need to be addressed by implementing preventive interventions and mental support provision. Copyright © 2017. Published by Elsevier B.V.

Illustration of Step-Wise Latent Class Modeling With Covariates and Taxometric Analysis in Research Probing Children's Mental Models in Learning Sciences

PubMed Central

Stamovlasis, Dimitrios; Papageorgiou, George; Tsitsipis, Georgios; Tsikalas, Themistoklis; Vaiopoulou, Julie

2018-01-01

This paper illustrates two psychometric methods, latent class analysis (LCA) and taxometric analysis (TA) using empirical data from research probing children's mental representation in science learning. LCA is used to obtain a typology based on observed variables and to further investigate how the encountered classes might be related to external variables, where the effectiveness of classification process and the unbiased estimations of parameters become the main concern. In the step-wise LCA, the class membership is assigned and subsequently its relationship with covariates is established. This leading-edge modeling approach suffers from severe downward-biased estimations. The illustration of LCA is focused on alternative bias correction approaches and demonstrates the effect of modal and proportional class-membership assignment along with BCH and ML correction procedures. The illustration of LCA is presented with three covariates, which are psychometric variables operationalizing formal reasoning, divergent thinking and field dependence-independence, respectively. Moreover, taxometric analysis, a method designed to detect the type of the latent structural model, categorical or dimensional, is introduced, along with the relevant basic concepts and tools. TA was applied complementarily in the same data sets to answer the fundamental hypothesis about children's naïve knowledge on the matters under study and it comprises an additional asset in building theory which is fundamental for educational practices. Taxometric analysis provided results that were ambiguous as far as the type of the latent structure. This finding initiates further discussion and sets a problematization within this framework rethinking fundamental assumptions and epistemological issues. PMID:29713300

The Effectiveness of learning materials based on multiple intelligence on the understanding of global warming

NASA Astrophysics Data System (ADS)

Liliawati, W.; Purwanto; Zulfikar, A.; Kamal, R. N.

2018-05-01

This study aims to examine the effectiveness of the use of teaching materials based on multiple intelligences on the understanding of high school students’ material on the theme of global warming. The research method used is static-group pretest-posttest design. Participants of the study were 60 high school students of XI class in one of the high schools in Bandung. Participants were divided into two classes of 30 students each for the experimental class and control class. The experimental class uses compound-based teaching materials while the experimental class does not use a compound intelligence-based teaching material. The instrument used is a test of understanding of the concept of global warming with multiple choices form amounted to 15 questions and 5 essay items. The test is given before and after it is applied to both classes. Data analysis using N-gain and effect size. The results obtained that the N-gain for both classes is in the medium category and the effectiveness of the use of teaching materials based on the results of effect-size test results obtained in the high category.

Criteria for assessing the quality of mHealth apps: a systematic review.

PubMed

Nouri, Rasool; R Niakan Kalhori, Sharareh; Ghazisaeedi, Marjan; Marchand, Guillaume; Yasini, Mobin

2018-05-16

Review the existing studies including an assessment tool/method to assess the quality of mHealth apps; extract their criteria; and provide a classification of the collected criteria. In accordance with the PRISMA statement, a literature search was conducted in MEDLINE, EMBase, ISI and Scopus for English language citations published from January 1, 2008 to December 22, 2016 for studies including tools or methods for quality assessment of mHealth apps. Two researchers screened the titles and abstracts of all retrieved citations against the inclusion and exclusion criteria. The full text of relevant papers was then individually examined by the same researchers. A senior researcher resolved eventual disagreements and confirmed the relevance of all included papers. The authors, date of publication, subject fields of target mHealth apps, development method, and assessment criteria were extracted from each paper. The extracted assessment criteria were then reviewed, compared, and classified by an expert panel of two medical informatics specialists and two health information management specialists. Twenty-three papers were included in the review. Thirty-eight main classes of assessment criteria were identified. These were reorganized by expert panel into 7 main classes (Design, Information/Content, Usability, Functionality, Ethical Issues, Security and Privacy, and User-perceived value) with 37 sub-classes of criteria. There is a wide heterogeneity in assessment criteria for mHealth apps. It is necessary to define the exact meanings and degree of distinctness of each criterion. This will help to improve the existing tools and may lead to achieve a better comprehensive mHealth app assessment tool.

Utilizing Urban Environments for Effective Field Experiences

NASA Astrophysics Data System (ADS)

MacAvoy, S. E.; Knee, K.

2014-12-01

Research surveys suggest that students are demanding more applied field experiences from their undergraduate environmental science programs. For geoscience educators at liberal arts colleges without field camps, university vehicles, or even geology departments, getting students into the field is especially rewarding - and especially challenging. Here, we present strategies that we have used in courses ranging from introductory environmental science for non-majors, to upper level environmental methods and geology classes. Urban locations provide an opportunity for a different type of local "field-work" than would otherwise be available. In the upper-level undergraduate Environmental Methods class, we relied on a National Park area located a 10-minute walk from campus for most field exercises. Activities included soil analysis, measuring stream flow and water quality parameters, dendrochronology, and aquatic microbe metabolism. In the non-majors class, we make use of our urban location to contrast water quality in parks and highly channelized urban streams. Here we share detailed lesson plans and budgets for field activities that can be completed during a class period of 2.5 hours with a $75 course fee, show how these activities help students gain quantitative competency, and provide student feedback about the classes and activities.

Teaching English Idioms as Metaphors through Cognitive-Oriented Methods: A Case in an EFL Writing Class

ERIC Educational Resources Information Center

Chen, Yi-chen; Lai, Huei-ling

2013-01-01

Idioms have long been regarded as problematic for L2 learners due to the arbitrariness of their meanings and forms. Traditional methods of teaching idioms focus on rote learning and memorization. Recent developments in cognitive linguistics research have considered idioms as analyzable expressions which are motivated by conceptual metaphors and…

The Multilevel Mixed Intact Group Analysis: A Mixed Method to Seek, Detect, Describe, and Explain Differences Among Intact Groups

ERIC Educational Resources Information Center

Schoonenboom, Judith

2016-01-01

Educational innovations often involve intact subgroups, such as school classes or university departments. In small-scale educational evaluation research, typically involving 1 to 20 subgroups, differences among these subgroups are often neglected. This article presents a mixed method from a qualitative perspective, in which differences among…

Effects of an E-Learning Module on Students' Attitudes in an Electronics Class

ERIC Educational Resources Information Center

Getuno, Daniel M.; Kiboss, Joel K.; Changeiywo, Johnson M.; Ogola, Leo B.

2015-01-01

Research has shown that students exhibit negative attitudes towards Electronics especially when they are taught using the conventional method. This is in addition to poor instructional methods that do not promote individualization of instruction or make learning interesting. The purpose of this study was to design an e-learning module in…

(PRESENTED AT MORIOKA, JAPAN) PERSISTENT PERFLUORINATED COMPOUNDS IN THE ENVIRONMENT: A BRIEF INTRODUCTION TO THIS IMPORTANT NEW CLASS OF POLLUTANTS

EPA Science Inventory

PowerPoint presentation summarizing method development research involving the persistent perfluorinated organic compounds. Review of data indicating widespread distribution of these materials and the potential for toxicity.

A Symposium for Students.

ERIC Educational Resources Information Center

Chokotho, N. C.; Leisten, J. A.

1981-01-01

Suggests a method for students to engage in research projects and orally present results in class. The basic idea is to have students work on individual projects around a central theme. Describes 20 projects centered around the halogenation of ketones. (Author/JN)

Smoking, social class, and gender: what can public health learn from the tobacco industry about disparities in smoking?

PubMed Central

Barbeau, E; Leavy-Sperounis, A; Balbach, E

2004-01-01

Objective: To discover how the tobacco industry considers social class and gender in its efforts to market cigarettes in the USA, particularly to socially disadvantaged young women. Methods: A systematic on-line search of tobacco industry documents using selected keywords was conducted, and epidemiological data on smoking rates reviewed. Results: The two largest cigarette manufacturers in the USA consider "working class" young adults to be a critical market segment to promote growth of key brands. Through their own market research, these companies discovered that socially disadvantaged young women do not necessarily desire a "feminine" cigarette brand. Conclusions: Considering the tobacco industry's efforts, alongside the persistent and growing disparities in cigarette smoking by social class, and the narrowing of differences in smoking by gender, it is concluded that additional tobacco control resources ought to be directed toward working class women. PMID:15175523

HackaMol: An Object-Oriented Modern Perl Library for Molecular Hacking on Multiple Scales

DOE PAGES

Riccardi, Demian M.; Parks, Jerry M.; Johs, Alexander; ...

2015-03-20

HackaMol is an open source, object-oriented toolkit written in Modern Perl that organizes atoms within molecules and provides chemically intuitive attributes and methods. The library consists of two components: HackaMol, the core that contains classes for storing and manipulating molecular information, and HackaMol::X, the extensions that use the core. We tested the core; it is well-documented and easy to install across computational platforms. Our goal for the extensions is to provide a more flexible space for researchers to develop and share new methods. In this application note, we provide a description of the core classes and two extensions: HackaMol::X::Calculator, anmore » abstract calculator that uses code references to generalize interfaces with external programs, and HackaMol::X::Vina, a structured class that provides an interface with the AutoDock Vina docking program.« less

HackaMol: An Object-Oriented Modern Perl Library for Molecular Hacking on Multiple Scales.

PubMed

Riccardi, Demian; Parks, Jerry M; Johs, Alexander; Smith, Jeremy C

2015-04-27

HackaMol is an open source, object-oriented toolkit written in Modern Perl that organizes atoms within molecules and provides chemically intuitive attributes and methods. The library consists of two components: HackaMol, the core that contains classes for storing and manipulating molecular information, and HackaMol::X, the extensions that use the core. The core is well-tested, well-documented, and easy to install across computational platforms. The goal of the extensions is to provide a more flexible space for researchers to develop and share new methods. In this application note, we provide a description of the core classes and two extensions: HackaMol::X::Calculator, an abstract calculator that uses code references to generalize interfaces with external programs, and HackaMol::X::Vina, a structured class that provides an interface with the AutoDock Vina docking program.

HackaMol: An Object-Oriented Modern Perl Library for Molecular Hacking on Multiple Scales

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

Riccardi, Demian M.; Parks, Jerry M.; Johs, Alexander

HackaMol is an open source, object-oriented toolkit written in Modern Perl that organizes atoms within molecules and provides chemically intuitive attributes and methods. The library consists of two components: HackaMol, the core that contains classes for storing and manipulating molecular information, and HackaMol::X, the extensions that use the core. We tested the core; it is well-documented and easy to install across computational platforms. Our goal for the extensions is to provide a more flexible space for researchers to develop and share new methods. In this application note, we provide a description of the core classes and two extensions: HackaMol::X::Calculator, anmore » abstract calculator that uses code references to generalize interfaces with external programs, and HackaMol::X::Vina, a structured class that provides an interface with the AutoDock Vina docking program.« less

Mathematics learning on geometry for children with autism

NASA Astrophysics Data System (ADS)

Widayati, F. E.; Usodo, B.; Pamudya, I.

2017-12-01

The purpose of this research is to describe: (1) the mathematics learning process in an inclusion class and (2) the obstacle during the process of mathematics learning in the inclusion class. This research is a descriptive qualitative research. The subjects were a mathematics teacher, children with autism, and a teacher assistant. Method of collecting data was observation and interview. Data validation technique is triangulation technique. The results of this research are : (1) There is a modification of lesson plan for children with autism. This modification such as the indicator of success, material, time, and assessment. Lesson plan for children with autism is arranged by mathematics teacher and teacher assistant. There is no special media for children with autism used by mathematics teacher. (2) The obstacle of children with autism is that they are difficult to understand mathematics concept. Besides, children with autism are easy to lose their focus.

Evaluation of POE and instructor-led problem-solving approaches integrated into force and motion lecture classes using a model analysis technique

NASA Astrophysics Data System (ADS)

Rakkapao, S.; Pengpan, T.; Srikeaw, S.; Prasitpong, S.

2014-01-01

This study aims to investigate the use of the predict-observe-explain (POE) approach integrated into large lecture classes on forces and motion. It is compared to the instructor-led problem-solving method using model analysis. The samples are science (SC, N = 420) and engineering (EN, N = 434) freshmen, from Prince of Songkla University, Thailand. Research findings from the force and motion conceptual evaluation indicate that the multimedia-supported POE method promotes students’ learning better than the problem-solving method, in particular for the velocity and acceleration concepts. There is a small shift of the students’ model states after the problem-solving instruction. Moreover, by using model analysis instructors are able to investigate students’ misconceptions and evaluate teaching methods. It benefits instructors in organizing subsequent instructional materials.

Analysis of spatial distribution of land cover maps accuracy

NASA Astrophysics Data System (ADS)

Khatami, R.; Mountrakis, G.; Stehman, S. V.

2017-12-01

Land cover maps have become one of the most important products of remote sensing science. However, classification errors will exist in any classified map and affect the reliability of subsequent map usage. Moreover, classification accuracy often varies over different regions of a classified map. These variations of accuracy will affect the reliability of subsequent analyses of different regions based on the classified maps. The traditional approach of map accuracy assessment based on an error matrix does not capture the spatial variation in classification accuracy. Here, per-pixel accuracy prediction methods are proposed based on interpolating accuracy values from a test sample to produce wall-to-wall accuracy maps. Different accuracy prediction methods were developed based on four factors: predictive domain (spatial versus spectral), interpolation function (constant, linear, Gaussian, and logistic), incorporation of class information (interpolating each class separately versus grouping them together), and sample size. Incorporation of spectral domain as explanatory feature spaces of classification accuracy interpolation was done for the first time in this research. Performance of the prediction methods was evaluated using 26 test blocks, with 10 km × 10 km dimensions, dispersed throughout the United States. The performance of the predictions was evaluated using the area under the curve (AUC) of the receiver operating characteristic. Relative to existing accuracy prediction methods, our proposed methods resulted in improvements of AUC of 0.15 or greater. Evaluation of the four factors comprising the accuracy prediction methods demonstrated that: i) interpolations should be done separately for each class instead of grouping all classes together; ii) if an all-classes approach is used, the spectral domain will result in substantially greater AUC than the spatial domain; iii) for the smaller sample size and per-class predictions, the spectral and spatial domain yielded similar AUC; iv) for the larger sample size (i.e., very dense spatial sample) and per-class predictions, the spatial domain yielded larger AUC; v) increasing the sample size improved accuracy predictions with a greater benefit accruing to the spatial domain; and vi) the function used for interpolation had the smallest effect on AUC.

Occupational epidemiology and work related inequalities in health: a gender perspective for two complementary approaches to work and health research

PubMed Central

Artazcoz, Lucía; Borrell, Carme; Cortès, Imma; Escribà‐Agüir, Vicenta; Cascant, Lorena

2007-01-01

Objectives To provide a framework for epidemiological research on work and health that combines classic occupational epidemiology and the consideration of work in a structural perspective focused on gender inequalities in health. Methods Gaps and limitations in classic occupational epidemiology, when considered from a gender perspective, are described. Limitations in research on work related gender inequalities in health are identified. Finally, some recommendations for future research are proposed. Results Classic occupational epidemiology has paid less attention to women's problems than men's. Research into work related gender inequalities in health has rarely considered either social class or the impact of family demands on men's health. In addition, it has rarely taken into account the potential interactions between gender, social class, employment status and family roles and the differences in social determinants of health according to the health indicator analysed. Conclusions Occupational epidemiology should consider the role of sex and gender in examining exposures and associated health problems. Variables should be used that capture the specific work environments and health conditions of both sexes. The analysis of work and health from a gender perspective should take into account the complex interactions between gender, family roles, employment status and social class. PMID:18000116

University and student segmentation: multilevel latent-class analysis of students' attitudes towards research methods and statistics.

PubMed

Mutz, Rüdiger; Daniel, Hans-Dieter

2013-06-01

It is often claimed that psychology students' attitudes towards research methods and statistics affect course enrollment, persistence, achievement, and course climate. However, the inter-institutional variability has been widely neglected in the research on students' attitudes towards research methods and statistics, but it is important for didactic purposes (heterogeneity of the student population). The paper presents a scale based on findings of the social psychology of attitudes (polar and emotion-based concept) in conjunction with a method for capturing beginning university students' attitudes towards research methods and statistics and identifying the proportion of students having positive attitudes at the institutional level. The study based on a re-analysis of a nationwide survey in Germany in August 2000 of all psychology students that enrolled in fall 1999/2000 (N= 1,490) and N= 44 universities. Using multilevel latent-class analysis (MLLCA), the aim was to group students in different student attitude types and at the same time to obtain university segments based on the incidences of the different student attitude types. Four student latent clusters were found that can be ranked on a bipolar attitude dimension. Membership in a cluster was predicted by age, grade point average (GPA) on school-leaving exam, and personality traits. In addition, two university segments were found: universities with an average proportion of students with positive attitudes and universities with a high proportion of students with positive attitudes (excellent segment). As psychology students make up a very heterogeneous group, the use of multiple learning activities as opposed to the classical lecture course is required. © 2011 The British Psychological Society.

Creative Digital Worksheet Base on Mobile Learning

NASA Astrophysics Data System (ADS)

Wibawa, S. C.; Cholifah, R.; Utami, A. W.; Nurhidayat, A. I.

2018-01-01

The student is required to understand and act in the classroom and it is very important for selecting the media learning to determine the learning outcome. An instructional media is needed to help students achieve the best learning outcome. The objectives of this study are (1) to make Android-based student worksheet, (2) to know the students’ response on Android-based student worksheet in multimedia subject, (3) to determine the student result using Android-based student worksheet. The method used was Research and Development (R&D) using post-test-only in controlled quasi-experimental group design. The subjects of the study were 2 classes, a control class and an experimental class. The results showed (1) Android-based student worksheet was categorized very good as percentage of 85%; (2) the students’ responses was categorized very good as percentage of 86.42%; (3) the experimental class results were better than control class. The average result on cognitive tests on the experimental class was 89.97 and on control class was 78.31; whether the average result on psychomotor test on the experimental class was 89.90 and on the control class was 79.83. In conclusion, student result using Android-based student worksheet was better than those without it.

Extensions of Existing Methods for Use with a New Class of Experimental Designs Useful when There Is Treatment Effect Contamination

ERIC Educational Resources Information Center

Rhoads, Christopher

2011-01-01

Researchers planning a randomized field trial to evaluate the effectiveness of an educational intervention often face the following dilemma. They plan to recruit schools to participate in their study. The question is, "Should the researchers randomly assign individuals (either students or teachers, depending on the intervention) within schools to…

Content-Related Issues Pertaining to Teaching Statistics: Making Decisions about Educational Objectives in Statistics Courses.

ERIC Educational Resources Information Center

Bliss, Leonard B.; Tashakkori, Abbas

This paper discusses the objectives that would be appropriate for statistics classes for students who are not majoring in statistics, evaluation, or quantitative research design. These "non-majors" should be able to choose appropriate analytical methods for specific sets of data based on the research question and the nature of the data, and they…

The Examining Reading Motivation of Primary Students in the Terms of Some Variables

ERIC Educational Resources Information Center

Biyik, Merve Atas; Erdogan, Tolga; Yildiz, Mustafa

2017-01-01

The purpose of this research, is to examine reading motivation of the primary 2, 3 and 4th grade students in the terms of gender, class and socioeconomic status. Research is structured according to model of survey in the descriptive type. In the collection, analysis and interpretation of the data "mix method". The sample consists of…

A Quantitative Assessment of an Application of Halpern's Teaching for Critical Thinking in a Business Class

ERIC Educational Resources Information Center

Reid, Joanne R.

2010-01-01

Can Critical Thinking be taught and learned? The author used a pre-experimental research method to answer this question. The foundation of this research study was Halpern's Teaching for Critical Thinking model. The instructional design paradigm was the 2003 Cognitive Training Model of Foshay, Silber, and Stelnicki. The author developed a course…

Adding to the Pool of Methods for Program Evaluation: A Comparison of Latent Class Analysis and Propensity Score Analysis

ERIC Educational Resources Information Center

Taylor, Lauren Christine

2013-01-01

Considering the amount of funding that is distributed to educational research each year, leaders and policymakers have a vested interest in finding scientifically based evidence that answers causal questions regarding program effectiveness. The importance of program evaluation has long been recognized in many fields of research; however, the most…

Effect of a supportive-educative program in the math class for stress, anxiety, and depression in female students in the third level of junior high school: An action research

PubMed Central

Emamjomeh, Seyedeh Mahtab; Bahrami, Masoud

2015-01-01

Background and Aim: Students in junior high school, particularly in the third level, are prone to a variety of stressors. This in turn might lead to stress, anxiety, depression, and other health-related problems. There are a very limited number of action research studies to identify the effect of stress management techniques among students. Therefore, a study was conducted to assess the effect of a program used in the math class to decrease the student's level of stress, anxiety, and depression. Material and Methods: This was an action research study, which was conducted in region three of the Education and Training Office of Isfahan, in the year 2012. Fifty-one students in a junior high school were selected and underwent a comprehensive stress management program. This program was prepared in collaboration with the students, their parents, teachers, and managers of the school, and was implemented approximately during a four-month period. The student's stress, anxiety, and depression were measured before and after the program using the DASS-21 questionnaire. Findings: The t-test identified that the mean scores of stress, anxiety, and depression after the intervention were significantly lower than the corresponding scores before the program. One-way analysis of variance (ANOVA) also showed that the students from the veterans (Janbaz) families had higher levels of stress compared to their classmates, who belonged to the non-veteran families (P< 0.05). Results: Education and implementation of stress management techniques including cognitive and behavioral interventions along with active and collaborative methods of learning in the math class might be useful both inside and outside the class, for better management of stress and other health-related problems of students. PMID:25767821

Lipidomic analysis of biological samples: Comparison of liquid chromatography, supercritical fluid chromatography and direct infusion mass spectrometry methods.

PubMed

Lísa, Miroslav; Cífková, Eva; Khalikova, Maria; Ovčačíková, Magdaléna; Holčapek, Michal

2017-11-24

Lipidomic analysis of biological samples in a clinical research represents challenging task for analytical methods given by the large number of samples and their extreme complexity. In this work, we compare direct infusion (DI) and chromatography - mass spectrometry (MS) lipidomic approaches represented by three analytical methods in terms of comprehensiveness, sample throughput, and validation results for the lipidomic analysis of biological samples represented by tumor tissue, surrounding normal tissue, plasma, and erythrocytes of kidney cancer patients. Methods are compared in one laboratory using the identical analytical protocol to ensure comparable conditions. Ultrahigh-performance liquid chromatography/MS (UHPLC/MS) method in hydrophilic interaction liquid chromatography mode and DI-MS method are used for this comparison as the most widely used methods for the lipidomic analysis together with ultrahigh-performance supercritical fluid chromatography/MS (UHPSFC/MS) method showing promising results in metabolomics analyses. The nontargeted analysis of pooled samples is performed using all tested methods and 610 lipid species within 23 lipid classes are identified. DI method provides the most comprehensive results due to identification of some polar lipid classes, which are not identified by UHPLC and UHPSFC methods. On the other hand, UHPSFC method provides an excellent sensitivity for less polar lipid classes and the highest sample throughput within 10min method time. The sample consumption of DI method is 125 times higher than for other methods, while only 40μL of organic solvent is used for one sample analysis compared to 3.5mL and 4.9mL in case of UHPLC and UHPSFC methods, respectively. Methods are validated for the quantitative lipidomic analysis of plasma samples with one internal standard for each lipid class. Results show applicability of all tested methods for the lipidomic analysis of biological samples depending on the analysis requirements. Copyright © 2017 Elsevier B.V. All rights reserved.

Spatial Analysis of Land Subsidence and Flood Pattern Based on DInSAR Method in Sentinel Sar Imagery and Weighting Method in Geo-Hazard Parameters Combination in North Jakarta Region

NASA Astrophysics Data System (ADS)

Prasetyo, Y.; Yuwono, B. D.; Ramadhanis, Z.

2018-02-01

The reclamation program carried out in most cities in North Jakarta is directly adjacent to the Jakarta Bay. Beside this program, the density of population and development center in North Jakarta office has increased the need for underground water excessively. As a result of these things, land subsidence in North Jakarta area is relatively high and so intense. The research methodology was developed based on the method of remote sensing and geographic information systems, expected to describe the spatial correlation between the land subsidence and flood phenomenon in North Jakarta. The DInSAR (Differential Interferometric Synthetic Aperture Radar) method with satellite image data Radar (SAR Sentinel 1A) for the years 2015 to 2016 acquisitions was used in this research. It is intended to obtain a pattern of land subsidence in North Jakarta and then combined with flood patterns. For the preparation of flood threat zoning pattern, this research has been modeling in spatial technique based on a weighted parameter of rainfall, elevation, flood zones and land use. In the final result, we have obtained a flood hazard zonation models then do the overlap against DInSAR processing results. As a result of the research, Geo-hazard modelling has a variety results as: 81% of flood threat zones consist of rural area, 12% consists of un-built areas and 7% consists of water areas. Furthermore, the correlation of land subsidence to flood risk zone is divided into three levels of suitability with 74% in high class, 22% in medium class and 4% in low class. For the result of spatial correlation area between land subsidence and flood risk zone are 77% detected in rural area, 17% detected in un-built area and 6% detected in a water area. Whereas the research product is the geo-hazard maps in North Jakarta as the basis of the spatial correlation analysis between the land subsidence and flooding phenomena.double point.

Current trends in feminist nursing research.

PubMed

Im, Eun-Ok

2010-01-01

Despite an increasing number of feminist studies in nursing, few reviews on current trends in feminist nursing research have been published. This article aims to explore the current trends in feminist nursing research and provide recommendations for future feminist studies in nursing. In multiple database searches, 207 articles were retrieved. These were reviewed based on 5 criteria: (1) epistemological background, (2) research questions, (3) research participants, (4) research methods, and (5) implications for changes. The review indicated that feminist nurse researchers with diverse epistemological backgrounds adopted new research methods to ask new questions; expanded their focus to include differences in ethnicity, class, sexual preference, and disability; and incorporated these diversities among women in a global context in their research. Based on these findings, recommendations for future feminist research in nursing are outlined. Copyright 2010 Mosby, Inc. All rights reserved.

Linear Matrix Inequality Method for a Quadratic Performance Index Minimization Problem with a class of Bilinear Matrix Inequality Conditions

NASA Astrophysics Data System (ADS)

Tanemura, M.; Chida, Y.

2016-09-01

There are a lot of design problems of control system which are expressed as a performance index minimization under BMI conditions. However, a minimization problem expressed as LMIs can be easily solved because of the convex property of LMIs. Therefore, many researchers have been studying transforming a variety of control design problems into convex minimization problems expressed as LMIs. This paper proposes an LMI method for a quadratic performance index minimization problem with a class of BMI conditions. The minimization problem treated in this paper includes design problems of state-feedback gain for switched system and so on. The effectiveness of the proposed method is verified through a state-feedback gain design for switched systems and a numerical simulation using the designed feedback gains.

School Class Size: Research and Policy

ERIC Educational Resources Information Center

Glass, Gene V.; And Others

This book synthesizes research evidence to demonstrate that 1) class size is strongly related to pupil achievement; 2) smaller classes are more conducive to improved pupil performance than larger classes; 3) smaller classes provide more opportunities to adapt learning programs to individual needs; 4) pupils in smaller classes have more interest in…

(PRESENTED AT TSUKIJI, CHUO-KU, JAPAN) PERSISTENT PERFLUORINATED COMPOUNDS IN THE ENVIRONMENT: A BRIEF INTRODUCTION TO THIS IMPORTANT NEW CLASS OF POLLUTANTS

EPA Science Inventory

PowerPoint presentation summarizing method development research involving the persistent perfluorinated organic compounds. Review of data indicating widespread distribution of these materials and the potential for toxicity.

Design and Assessment of a General Science STEM Course with a Blended Learning Approach

NASA Astrophysics Data System (ADS)

Courtier, A. M.; Liu, J. C.; St John, K. K.

2015-12-01

Blended learning, a combination of classroom- and computer-mediated teaching and learning, is becoming prominent in higher education, and structured assessment is necessary to determine pedagogical costs and benefits. Assessment of a blended general education science class at James Madison University used a mixed-method causal-comparative design: in Spring 2014, two classes with identical content and similar groups of non-science majors were taught by the same instructor in either blended or full face-to-face formats. The learning experience of 160 students in the two classes was compared based on course and exam grades, classroom observation, and student survey results. Student acquisition of content in both classes was measured with pre-post tests using published concept inventories, and surveys, quizzes, and grade reports in the Blackboard learning management system were additionally used for data collection. Exams were identical between the two sections, and exam questions were validated in advance by a faculty member who teaches other sections of the same course. A course experience questionnaire was administered to measure students' personal experiences in both classes, addressing dimensions of good teaching, clear goals and standards, generic skills, appropriate assessment and workload, and emphasis on independence. Using a STEM classroom observation checklist, two researchers conducted in-class observations for four 75-minute face-to-face meetings with similar content focus in both classes, which allowed assessment of student engagement and participation. We will present details of the course design and research plan, as well as assessment results from both quantitative and qualitative analysis. The preliminary findings include slightly higher average grade distribution and more ready responses to in-class activities in the blended class.

Teaching Research Methods and Statistics in eLearning Environments: Pedagogy, Practical Examples, and Possible Futures

PubMed Central

Rock, Adam J.; Coventry, William L.; Morgan, Methuen I.; Loi, Natasha M.

2016-01-01

Generally, academic psychologists are mindful of the fact that, for many students, the study of research methods and statistics is anxiety provoking (Gal et al., 1997). Given the ubiquitous and distributed nature of eLearning systems (Nof et al., 2015), teachers of research methods and statistics need to cultivate an understanding of how to effectively use eLearning tools to inspire psychology students to learn. Consequently, the aim of the present paper is to discuss critically how using eLearning systems might engage psychology students in research methods and statistics. First, we critically appraise definitions of eLearning. Second, we examine numerous important pedagogical principles associated with effectively teaching research methods and statistics using eLearning systems. Subsequently, we provide practical examples of our own eLearning-based class activities designed to engage psychology students to learn statistical concepts such as Factor Analysis and Discriminant Function Analysis. Finally, we discuss general trends in eLearning and possible futures that are pertinent to teachers of research methods and statistics in psychology. PMID:27014147

Teaching Research Methods and Statistics in eLearning Environments: Pedagogy, Practical Examples, and Possible Futures.

PubMed

Rock, Adam J; Coventry, William L; Morgan, Methuen I; Loi, Natasha M

2016-01-01

Generally, academic psychologists are mindful of the fact that, for many students, the study of research methods and statistics is anxiety provoking (Gal et al., 1997). Given the ubiquitous and distributed nature of eLearning systems (Nof et al., 2015), teachers of research methods and statistics need to cultivate an understanding of how to effectively use eLearning tools to inspire psychology students to learn. Consequently, the aim of the present paper is to discuss critically how using eLearning systems might engage psychology students in research methods and statistics. First, we critically appraise definitions of eLearning. Second, we examine numerous important pedagogical principles associated with effectively teaching research methods and statistics using eLearning systems. Subsequently, we provide practical examples of our own eLearning-based class activities designed to engage psychology students to learn statistical concepts such as Factor Analysis and Discriminant Function Analysis. Finally, we discuss general trends in eLearning and possible futures that are pertinent to teachers of research methods and statistics in psychology.

Evaluation of metabolites extraction strategies for identifying different brain regions and their relationship with alcohol preference and gender difference using NMR metabolomics.

PubMed

Wang, Jie; Zeng, Hao-Long; Du, Hongying; Liu, Zeyuan; Cheng, Ji; Liu, Taotao; Hu, Ting; Kamal, Ghulam Mustafa; Li, Xihai; Liu, Huili; Xu, Fuqiang

2018-03-01

Metabolomics generate a profile of small molecules from cellular/tissue metabolism, which could directly reflect the mechanisms of complex networks of biochemical reactions. Traditional metabolomics methods, such as OPLS-DA, PLS-DA are mainly used for binary class discrimination. Multiple groups are always involved in the biological system, especially for brain research. Multiple brain regions are involved in the neuronal study of brain metabolic dysfunctions such as alcoholism, Alzheimer's disease, etc. In the current study, 10 different brain regions were utilized for comparative studies between alcohol preferring and non-preferring rats, male and female rats respectively. As many classes are involved (ten different regions and four types of animals), traditional metabolomics methods are no longer efficient for showing differentiation. Here, a novel strategy based on the decision tree algorithm was employed for successfully constructing different classification models to screen out the major characteristics of ten brain regions at the same time. Subsequently, this method was also utilized to select the major effective brain regions related to alcohol preference and gender difference. Compared with the traditional multivariate statistical methods, the decision tree could construct acceptable and understandable classification models for multi-class data analysis. Therefore, the current technology could also be applied to other general metabolomics studies involving multi class data. Copyright © 2017 Elsevier B.V. All rights reserved.

The development of a lower heat concrete mixture for mass concrete placement conditions

NASA Astrophysics Data System (ADS)

Crowley, Aaron Martin

The hydration process of portland cement (PC) is exothermic; therefore, the thermal behavior of concrete has to be taken into consideration when placed in a large mass. The research presented involves a Tennessee Department of Transportation (TDOT) Class S (seal) portland cement concrete (PCC) which is used as a foundation seal during construction of bridge abutments and piers. A Class S PCC mixture meeting the 2006 TDOT specifications has the potential to generate excessive amounts of heat and induce thermal cracking in structural elements. The purpose of the study is to reduce the heat generation of a Class S PCC while maintaining adequate values of other engineering properties. Due to the possibility of underwater placement of a Class S PCC, reduction in the total cementing materials content were not considered in this study. Five candidate mixtures were used to compare against a typical TDOT Class S mixture. The five candidate Class S-LH (lower heat) mixtures were 45, 60, 70% Grade 120 slag substitutions for PC as well as two ternary mixtures containing Grade 120 slag and Class F fly ash. Ten batches of each mixture were produced. All plastic and hardened properties met TDOT 604.03 Class S requirements for analytical comparison. The 70% Grade 120 slag Class S-LH mixture was analytically superior for all hardened properties and at reducing heat generation. Since the 70% Grade 120 slag Class S-LH mixture proved to be superior in laboratory conditions; it was selected for further evaluation in the field testing portion of the research. The 70% Grade 120 slag mixture produced a significantly lower maximum temperature as well as a significantly lower maximum differential temperature than a TDOT Class S mixture with 20% Class C fly ash in side-by-side 18 cubic yard cube field placements. Research results and literature recommend that engineers should decide when mass concrete conditions are appropriate during construction practices. When mass concrete conditions are considered, contractors should be responsible for monitoring and limiting maximum internal temperature to 150°F and the maximum differential temperature to 35°F. A temperature control plan should be established using various methods, and not limited to only PCC mixture design.

Intersections of Ethnicity and Social Class in Provider Advice Regarding Reproductive Health

PubMed Central

Downing, Roberta A.; LaVeist, Thomas A.; Bullock, Heather E.

2007-01-01

Objectives. We examined how ethnicity and social class influence women’s perceptions of reproductive health care. Of primary interest was assessing whether health care providers are perceived as advising low-income women, particularly women of color, to limit their childbearing and to what extent they feel they are discouraged by providers from having future children. Methods. Ethnically diverse, low-income (n=193) and middle-class women (n=146) completed a questionnaire about their pregnancy-related health care experiences. Results. Logistic regression analyses revealed that low-income women of color experienced greater odds of being advised to limit their childbearing than did middle-class White women. A separate model demonstrated that low-income Latinas reported greater odds of being discouraged from having children than did middle-class White women. Conclusions. Low-income women of color were more likely to report being advised to limit their childbearing and were more likely to describe being discouraged from having children than were middle-class White women. More research is needed regarding how ethnicity and social class impact women’s experiences with reproductive health care. PMID:17761569

What Research Says about Small Classes and Their Effects. In Pursuit of Better Schools: What Research Says.

ERIC Educational Resources Information Center

Biddle, Bruce J.; Berliner, David C.

Interest in class size is widespread today. Debates often take place about "ideal" class size. Controversial efforts to reduce class size have appeared at both the federal level and in various states around the nation. This paper reviews research on class size and discusses findings, how these findings can be explained, and policy implications.…

Active Learning in the Physics Classroom

NASA Astrophysics Data System (ADS)

Naron, Carol

Many students enter physics classes filled with misconceptions about physics concepts. Students tend to retain these misconceptions into their adult lives, even after physics instruction. Constructivist researchers have found that students gain understanding through their experiences. Researchers have also found that active learning practices increase conceptual understanding of introductory physics students. This project study sought to examine whether incorporating active learning practices in an advanced placement physics classroom increased conceptual understanding as measured by the force concept inventory (FCI). Physics students at the study site were given the FCI as both a pre- and posttest. Test data were analyzed using two different methods---a repeated-measures t test and the Hake gain method. The results of this research project showed that test score gains were statistically significant, as measured by the t test. The Hake gain results indicated a low (22.5%) gain for the class. The resulting project was a curriculum plan for teaching the mechanics portion of Advanced Placement (AP) physics B as well as several active learning classroom practices supported by the research. This project will allow AP physics teachers an opportunity to improve their curricular practices. Locally, the results of this project study showed that research participants gained understanding of physics concepts. Social change may occur as teachers implement active learning strategies, thus creating improved student understanding of physics concepts.

A High Resolution Land Cover Data Product to Remove Urban Density Over-Estimation Bias for Coupled Urban-Vegetation-Atmosphere Interaction Studies

NASA Astrophysics Data System (ADS)

Shaffer, S. R.

2017-12-01

Coupled land-atmosphere interactions in urban settings modeled with the Weather Research and Forecasting model (WRF) derive urban land cover from 30-meter resolution National Land Cover Database (NLCD) products. However, within urban areas, the categorical NLCD lose information of non-urban classifications whenever the impervious cover within a grid cell is above 0%, and the current method to determine urban area over estimates the actual area, leading to a bias of urban contribution. To address this bias of urban contribution an investigation is conducted by employing a 1-meter resolution land cover data product derived from the National Agricultural Imagery Program (NAIP) dataset. Scenes during 2010 for the Central Arizona Phoenix Long Term Ecological Research (CAP-LTER) study area, roughly a 120 km x 100 km area containing metropolitan Phoenix, are adapted for use within WRF to determine the areal fraction and urban fraction of each WRF urban class. A method is shown for converting these NAIP data into classes corresponding to NLCD urban classes, and is evaluated in comparison with current WRF implementation using NLCD. Results are shown for comparisons of land cover products at the level of input data and aggregated to model resolution (1 km). The sensitivity of WRF short-term summertime pre-monsoon predictions within metropolitan Phoenix to different input data products of land cover, to method of aggregating these data to model grid scale (1 km), for the default and derived parameter values are examined with the Noah mosaic land surface scheme adapted for using these data. Issues with adapting these non-urban NAIP classes for use in the mosaic approach will also be discussed.

Reflection on Cuboid Net with Mathematical Learning Quality

NASA Astrophysics Data System (ADS)

Sari, Atikah; Suryadi, Didi; Syaodih, Ernawulan

2017-09-01

This research aims to formulate an alternative to the reflection in mathematics learning activities related to the activities of the professionalism of teachers motivated by a desire to improve the quality of learning. This study is a qualitative study using the Didactical Design research. This study was conducted in one of the elementary schools. The data collection techniques are triangulation with the research subject is teacher 5th grade. The results of this study indicate that through deep reflection, teachers can design learning design in accordance with the conditions of the class. Also revealed that teachers have difficulty in choosing methods of learning and contextual learning media. Based on the implementation of activities of reflection and make the learning design based on the results of reflection can be concluded that the quality of learning in the class will develop.

Comparison of Student Achievement Using Didactic, Inquiry-Based, and the Combination of Two Approaches of Science Instruction

NASA Astrophysics Data System (ADS)

Foster, Hyacinth Carmen

Science educators and administrators support the idea that inquiry-based and didactic-based instructional strategies have varying effects on students' acquisition of science concepts. The research problem addressed whether incorporating the two approaches covered the learning requirements of all students in science classes, enabling them to meet state and national standards. The purpose of this quasiexperimental, posttest design research study was to determine if student learning and achievement in high school biology classes differed for each type of instructional method. Constructivism theory suggested that each learner creates knowledge over time because of the learners' interactions with the environment. The optimal teaching method, didactic (teacher-directed), inquiry-based, or a combination of two approaches instructional method, becomes essential if students are to discover ways to learn information. The research question examined which form of instruction had a significant effect on student achievement in biology. The data analysis consisted of single-factor, independent-measures analysis of variance (ANOVA) that tested the hypotheses of the research study. Locally, the results indicated greater and statistically significant differences in standardized laboratory scores for students who were taught using the combination of two approaches. Based on these results, biology instructors will gain new insights into ways of improving the instructional process. Social change may occur as the science curriculum leadership applies the combination of two instructional approaches to improve acquisition of science concepts by biology students.

Modeling Governance KB with CATPCA to Overcome Multicollinearity in the Logistic Regression

NASA Astrophysics Data System (ADS)

Khikmah, L.; Wijayanto, H.; Syafitri, U. D.

2017-04-01

The problem often encounters in logistic regression modeling are multicollinearity problems. Data that have multicollinearity between explanatory variables with the result in the estimation of parameters to be bias. Besides, the multicollinearity will result in error in the classification. In general, to overcome multicollinearity in regression used stepwise regression. They are also another method to overcome multicollinearity which involves all variable for prediction. That is Principal Component Analysis (PCA). However, classical PCA in only for numeric data. Its data are categorical, one method to solve the problems is Categorical Principal Component Analysis (CATPCA). Data were used in this research were a part of data Demographic and Population Survey Indonesia (IDHS) 2012. This research focuses on the characteristic of women of using the contraceptive methods. Classification results evaluated using Area Under Curve (AUC) values. The higher the AUC value, the better. Based on AUC values, the classification of the contraceptive method using stepwise method (58.66%) is better than the logistic regression model (57.39%) and CATPCA (57.39%). Evaluation of the results of logistic regression using sensitivity, shows the opposite where CATPCA method (99.79%) is better than logistic regression method (92.43%) and stepwise (92.05%). Therefore in this study focuses on major class classification (using a contraceptive method), then the selected model is CATPCA because it can raise the level of the major class model accuracy.

Virtual Control Policy for Binary Ordered Resources Petri Net Class.

PubMed

Rovetto, Carlos A; Concepción, Tomás J; Cano, Elia Esther

2016-08-18

Prevention and avoidance of deadlocks in sensor networks that use the wormhole routing algorithm is an active research domain. There are diverse control policies that will address this problem being our approach a new method. In this paper we present a virtual control policy for the new specialized Petri net subclass called Binary Ordered Resources Petri Net (BORPN). Essentially, it is an ordinary class constructed from various state machines that share unitary resources in a complex form, which allows branching and joining of processes. The reduced structure of this new class gives advantages that allow analysis of the entire system's behavior, which is a prohibitive task for large systems because of the complexity and routing algorithms.

Overview of the TREC 2009 Chemical IR Track

DTIC Science & Technology

2009-11-01

several classes have been identified. 3 methods for controlling molecular weight of polyhydroxyalkanoate organic, high molecular weight We are a group of...researchers in an university/company. We want to start a project and, before starting, we want more informations about polyhydroxyalkanoate and about...methods for controlling molecular weight of polyhydroxyalkanoate constituted of units containing residue of phenyl-, thienyl-, or cyclohexyl-structure

Following Experts at Work in Their Own Information Spaces: Using Observational Methods To Develop Tools for the Digital Library.

ERIC Educational Resources Information Center

Gorman, Paul; Lavelle, Mary; Delcambre, Lois; Maier, David

2002-01-01

Offers an overview of the authors' experience using several observational methods to better understand one class of users, expert clinicians treating patients in hospital settings. Shows the evolution of understanding of the users and their information-handling tasks based on observations made in the field by a multidisciplinary research team, and…

Paul Revere Rides through High School Government Class: Teacher Research and the Power of Discussion to Motivate Thinking

ERIC Educational Resources Information Center

Newstreet, Carmen

2008-01-01

Teachers in the secondary social studies classroom do not regularly take the time to practice structured reflection on their teaching methods. In our current standards-driven environment, social studies classrooms are often not seen as places of higher learning. To combat these stereotypes, the author presents a method for accomplishing reflection…

Mobile Learning: Integrating Text Messaging into a Community College Pre-Algebra Course

ERIC Educational Resources Information Center

Bull, Prince; McCormick, Carlos

2012-01-01

This study investigated the use of text messaging as an educational tool in a pre-algebra course at a community college in the central region of North Carolina. The research was conducted in two pre-algebra classes with thirty-three students and one instructor. Data were gathered using qualitative and quantitative methods. A mixed method design…

A Mixed Methods Analysis of the Effects of an Integrative Geobiological Study of Petrified Wood in Introductory College Geology Classrooms

ERIC Educational Resources Information Center

Clary, Renee M.; Wandersee, James H.

2007-01-01

Mixed methods research conducted across three semesters in introductory college geology classes (n=187, 190, 138) attempted to ascertain whether integrated study of petrified wood could serve as a portal to improved student geobiological understanding of fossilization, geologic time, and evolution. The Petrified Wood Survey[TM] was administered as…

Chiefs' Pocket Guide to Class Size: A Research Synthesis to Inform State Class Size Policies

ERIC Educational Resources Information Center

Council of Chief State School Officers, 2012

2012-01-01

Few questions in public education discourse benefit as much from research-based evidence as the question of class size--the pursuit of the ideal number of students that should be co-located for any particular period of instruction. But for policymakers, research on class size can be an embarrassment of riches, and much of the research appears to…

Argumentation in Science Class: Its Planning, Practice, and Effect on Student Motivation

NASA Astrophysics Data System (ADS)

Taneja, Anju

Studies have shown an association between argumentative discourse in science class, better understanding of science concepts, and improved academic performance. However, there is lack of research on how argumentation can increase student motivation. This mixed methods concurrent nested study uses Bandura's construct of motivation and concepts of argumentation and formative feedback to understand how teachers orchestrate argumentation in science class and how it affects motivation. Qualitative data was collected through interviews of 4 grade-9 science teachers and through observing teacher-directed classroom discourse. Classroom observations allowed the researcher to record the rhythm of discourse by characterizing teacher and student speech as teacher presentation (TP), teacher guided authoritative discussion (AD), teacher guided dialogic discussion (DD), and student initiation (SI). The Student Motivation Towards Science Learning survey was administered to 67 students before and after a class in which argumentation was used. Analysis of interviews showed teachers collaborated to plan argumentation. Analysis of discourse identified the characteristics of argumentation and provided evidence of students' engagement in argumentation in a range of contexts. Student motivation scores were tested using Wilcoxon signed rank tests and Mann-Whitney U-tests, which showed no significant change. However, one construct of motivation---active learning strategy---significantly increased. Quantitative findings also indicate that teachers' use of multiple methods in teaching science can affect various constructs of students' motivation. This study promotes social change by providing teachers with insight about how to engage all students in argumentation.

Reimbursement-Based Economics--What Is It and How Can We Use It to Inform Drug Policy Reform?

PubMed

Coyle, Doug; Lee, Karen M; Mamdani, Muhammad; Sabarre, Kelley-Anne; Tingley, Kylie

2015-01-01

In Ontario, approximately $3.8 billion is spent annually on publicly funded drug programs. The annual growth in Ontario Public Drug Program (OPDP) expenditure has been limited to 1.2% over the course of 3 years. Concurrently, the Ontario Drug Policy Research Network (ODPRN) was appointed to conduct drug class review research relating to formulary modernization within the OPDP. Drug class reviews by ODPRN incorporate a novel methodological technique called reimbursement-based economics, which focuses on reimbursement strategies and may be particularly relevant for policy-makers. To describe the reimbursement-based economics approach. Reimbursement-based economics aims to identify the optimal reimbursement strategy for drug classes by incorporating a review of economic literature, comprehensive budget impact analyses, and consideration of cost-effectiveness. This 3-step approach is novel in its focus on the economic impact of alternate reimbursement strategies rather than individual therapies. The methods involved within the reimbursement-based approach are detailed. To facilitate the description, summary methods and findings from a recent application to formulary modernization with respect to the drug class tryptamine-based selective serotonin receptor agonists (triptans) used to treat migraine headaches are presented. The application of reimbursement-based economics in drug policy reforms allows policy-makers to consider the cost-effectiveness and budget impact of different reimbursement strategies allowing consideration of the trade-off between potential cost savings vs increased access to cost-effective treatments. © 2015 American Headache Society.

A Framework for Estimating Causal Effects in Latent Class Analysis: Is There a Causal Link Between Early Sex and Subsequent Profiles of Delinquency?

PubMed Central

Lanza, Stephanie T.; Coffman, Donna L.

2013-01-01

Prevention scientists use latent class analysis (LCA) with increasing frequency to characterize complex behavior patterns and profiles of risk. Often, the most important research questions in these studies involve establishing characteristics that predict membership in the latent classes, thus describing the composition of the subgroups and suggesting possible points of intervention. More recently, prevention scientists have begun to adopt modern methods for drawing causal inference from observational data because of the bias that can be introduced by confounders. This same issue of confounding exists in any analysis of observational data, including prediction of latent class membership. This study demonstrates a straightforward approach to causal inference in LCA that builds on propensity score methods. We demonstrate this approach by examining the causal effect of early sex on subsequent delinquency latent classes using data from 1,890 adolescents in 11th and 12th grade from wave I of the National Longitudinal Study of Adolescent Health. Prior to the statistical adjustment for potential confounders, early sex was significantly associated with delinquency latent class membership for both genders (p=0.02). However, the propensity score adjusted analysis indicated no evidence for a causal effect of early sex on delinquency class membership (p=0.76) for either gender. Sample R and SAS code is included in an Appendix in the ESM so that prevention scientists may adopt this approach to causal inference in LCA in their own work. PMID:23839479

A framework for estimating causal effects in latent class analysis: is there a causal link between early sex and subsequent profiles of delinquency?

PubMed

Butera, Nicole M; Lanza, Stephanie T; Coffman, Donna L

2014-06-01

Prevention scientists use latent class analysis (LCA) with increasing frequency to characterize complex behavior patterns and profiles of risk. Often, the most important research questions in these studies involve establishing characteristics that predict membership in the latent classes, thus describing the composition of the subgroups and suggesting possible points of intervention. More recently, prevention scientists have begun to adopt modern methods for drawing causal inference from observational data because of the bias that can be introduced by confounders. This same issue of confounding exists in any analysis of observational data, including prediction of latent class membership. This study demonstrates a straightforward approach to causal inference in LCA that builds on propensity score methods. We demonstrate this approach by examining the causal effect of early sex on subsequent delinquency latent classes using data from 1,890 adolescents in 11th and 12th grade from wave I of the National Longitudinal Study of Adolescent Health. Prior to the statistical adjustment for potential confounders, early sex was significantly associated with delinquency latent class membership for both genders (p = 0.02). However, the propensity score adjusted analysis indicated no evidence for a causal effect of early sex on delinquency class membership (p = 0.76) for either gender. Sample R and SAS code is included in an Appendix in the ESM so that prevention scientists may adopt this approach to causal inference in LCA in their own work.

ORD'S RESEARCH ON PATHOGENS IN BIOSOLIDS

EPA Science Inventory

In 2002 the National Academy of Sciences issued a report on EPA's regulations governing the preparation of class A and B biosolids. They stated that the science supporting the rule was outdated and recommended that EPA develop new standardized methods for measuring pathogens in ...

50 CFR 530.3 - Typical classes of action.

Code of Federal Regulations, 2010 CFR

2010-10-01

... Federal agency; and (b) Research contracts relating to policy issues, biological-ecological data needed to make sound management decisions, and better methods for collecting and analyzing data. These activities are not, by themselves, major Federal actions significantly affecting the quality of the human...

A novel algorithm of super-resolution image reconstruction based on multi-class dictionaries for natural scene

NASA Astrophysics Data System (ADS)

Wu, Wei; Zhao, Dewei; Zhang, Huan

2015-12-01

Super-resolution image reconstruction is an effective method to improve the image quality. It has important research significance in the field of image processing. However, the choice of the dictionary directly affects the efficiency of image reconstruction. A sparse representation theory is introduced into the problem of the nearest neighbor selection. Based on the sparse representation of super-resolution image reconstruction method, a super-resolution image reconstruction algorithm based on multi-class dictionary is analyzed. This method avoids the redundancy problem of only training a hyper complete dictionary, and makes the sub-dictionary more representatives, and then replaces the traditional Euclidean distance computing method to improve the quality of the whole image reconstruction. In addition, the ill-posed problem is introduced into non-local self-similarity regularization. Experimental results show that the algorithm is much better results than state-of-the-art algorithm in terms of both PSNR and visual perception.

The Convergence Problems of Eigenfunction Expansions of Elliptic Differential Operators

NASA Astrophysics Data System (ADS)

Ahmedov, Anvarjon

2018-03-01

In the present research we investigate the problems concerning the almost everywhere convergence of multiple Fourier series summed over the elliptic levels in the classes of Liouville. The sufficient conditions for the almost everywhere convergence problems, which are most difficult problems in Harmonic analysis, are obtained. The methods of approximation by multiple Fourier series summed over elliptic curves are applied to obtain suitable estimations for the maximal operator of the spectral decompositions. Obtaining of such estimations involves very complicated calculations which depends on the functional structure of the classes of functions. The main idea on the proving the almost everywhere convergence of the eigenfunction expansions in the interpolation spaces is estimation of the maximal operator of the partial sums in the boundary classes and application of the interpolation Theorem of the family of linear operators. In the present work the maximal operator of the elliptic partial sums are estimated in the interpolation classes of Liouville and the almost everywhere convergence of the multiple Fourier series by elliptic summation methods are established. The considering multiple Fourier series as an eigenfunction expansions of the differential operators helps to translate the functional properties (for example smoothness) of the Liouville classes into Fourier coefficients of the functions which being expanded into such expansions. The sufficient conditions for convergence of the multiple Fourier series of functions from Liouville classes are obtained in terms of the smoothness and dimensions. Such results are highly effective in solving the boundary problems with periodic boundary conditions occurring in the spectral theory of differential operators. The investigations of multiple Fourier series in modern methods of harmonic analysis incorporates the wide use of methods from functional analysis, mathematical physics, modern operator theory and spectral decomposition. New method for the best approximation of the square-integrable function by multiple Fourier series summed over the elliptic levels are established. Using the best approximation, the Lebesgue constant corresponding to the elliptic partial sums is estimated. The latter is applied to obtain an estimation for the maximal operator in the classes of Liouville.

Vortex maneuver lift for super-cruise configurations

NASA Technical Reports Server (NTRS)

Campbell, J. F.; Gloss, B. B.; Lamar, J. E.

1976-01-01

Some of the theoretical and experimental research conducted at the NASA Langley Research Center is presented to investigate the subsonic vortex-lift producing capabilities for two classes of Super-Cruise designs: a close-coupled wing-canard arrangement and a slender wing configuration. In addition, several analytical methods are discussed for estimating critical structural design loads for thin, highly swept wings having separated leading-edge vortex flows.

The Effect of Drill and Practice Software on Multiplication Skills: "Multiplication Puzzles" versus "The Mad Minute."

ERIC Educational Resources Information Center

Williams, Lynda Patterson

The purpose of the study was to compare two methods of learning multiplication facts in order to develop speed and accuracy. The researcher conducted the action research project with a seventh grade enrichment class, which met for seven weeks during the school year. As part of the curriculum students were provided with activities to refine their…

Testing Our Assumptions: The Role of First Course Grade and Course Level in Mathematics and English

ERIC Educational Resources Information Center

Callahan, Janet; Belcheir, Marcia

2017-01-01

Methods that provide an early indicator of factors that affect student persistence are important to colleges and universities. This quantitative research focused on the role of level of entry mathematics and English and also on grades earned in those classes, as they relate to persistence after 1 year. The research showed that by far, the variable…

Using Facebook to Supplement Participant Pools for Class Research Projects: Should We Like It?

ERIC Educational Resources Information Center

Sciutto, Mark J.

2015-01-01

In-class research projects are a valuable way of providing research experience for undergraduate students in psychology. This article evaluates the use of online social networks to supplement sample recruitment for in-class research projects. Specifically, this article presents a systematic analysis of seven student research projects that…

Pregnancy Intention and Contraceptive Use among Women by Class of Obesity: Results from the 2006-2010 and 2011-2013 National Survey of Family Growth.

PubMed

Nguyen, Brian T; Elia, Jennifer L; Ha, Cathrine Y; Kaneshiro, Bliss E

Conflicting research findings on the association of obesity and pregnancy intention may be due to their collective definition of obesity at a body mass index of 30 kg/m 2 or greater. However, obese women with a BMI of 40 kg/m 2 or greater may be both behaviorally and clinically different from obese women with a lower BMI. This study reexamines this relationship, stratifying by class of obesity; the study also explores variations in contraceptive use by class of obesity given their potential contribution to the incidence of unintended or unwanted pregnancy. This study combined data from the 2006 through 2010 and 2011 through 2013 US National Survey of Family Growth. Pregnancy intention (intended, mistimed, unwanted) and current contraceptive use (no method, barrier, pill/patch/ring/injection, long-acting reversible contraceptive, sterilization) were compared across body mass index categories: normal (18.5-24.9 kg/m kg/m 2 ), overweight (25.0-29.9), obese class 1 (30.0-34.9 kg/m 2 ), class 2 (35.0-39.9 kg/m 2 ), and class 3 (≥40 kg/m 2 , severe obesity). Weighted multinomial logistic regressions were refined to determine independent associations of body mass index class and pregnancy intention, as well as contraceptive method, controlling for demographic, socioeconomic, and reproductive factors. Body mass index data were available for 9,848 nonpregnant, sexually active women who reported not wanting to become pregnant. Women with class 3 obesity had significantly greater odds of mistimed (adjusted odd ratio [aOR], 1.67; 95% confidence interval [CI], 1.02-2.75) or unwanted (aOR, 1.96; 95% CI, 1.15-3.32) pregnancy compared with normal weight women. Women with class 2 or 3 obesity were more likely to not be using contraception (aOR, 1.53-1.62; 95% CI, 1.04-2.29). Although women with class 2 obesity were more likely to be using long-acting reversible contraceptive methods and sterilization over short-acting hormonal methods (aOR, 1.67; 95% CI, 1.08-2.57; aOR, 2.05; 95% CI,1.44-2.91), this association was not observed among women with class 3 obesity. Women with class 3 obesity are at greater risk of unintended pregnancy and are less likely to be using contraception than normal weight women. Whether these findings are related to patient and/or provider barriers that are not as visible among women with class 1 and class 2 obesity warrants further investigation. Copyright © 2017 Jacobs Institute of Women's Health. Published by Elsevier Inc. All rights reserved.

Vocational High School Students’ Profile and their English Achievement

NASA Astrophysics Data System (ADS)

Liando, N. V. F.; Ratu, D. M.; Sahentombage, V.

2018-02-01

Vocational education has been given more attention in Indonesian education in the recent years. There have been many projects for vocational education since Jokowi Widodo took his presidential office in October 2014. In supporting government actions, vocational high school students need to improve their profile. Living in the global worlds requires the ability to interact with people from all over the world. The ability to communicate using English as the lingua franca is important. The purpose of the research reported here is, to prove whether the direct method is effective in improving vocational high school students’ English pronunciation or not. This research design is a true experimental using post-test only. The population is students from one vocational high school in North Sulawesi. Sample of this research was year 11 students consisting of two classes class A (27 students) and class B (27 students). The instrument used in collecting data is tests. The results showed that the mean of the experimental group (36.99) statistically describes the students’ improvement in pronouncing English words in which have been compared by result of the tobserved (2.897) exceed tcritical (1.943) at the level of significance 0.05. It means that there is a significant difference between the mean score of experimental group and control group regarding students’ English pronunciation. This then supports the claim that ‘rejects’ Ho and ‘accept’ Ha. Based on the result, it could be concluded that the direct method is considered effective in improving students’ English pronunciation.

Pharmacy Residency School-wide Match Rates and Modifiable Predictors in ACPE-accredited Colleges and Schools of Pharmacy

PubMed Central

Whittaker, Alana; Shan, Guogen

2017-01-01

Objective. To analyze the modifiable predictors of institution-wide residency match rates. Methods. This was a retrospective analysis of colleges and schools of pharmacy data and school-wide PGY-1 pharmacy residency match rates for 2013 through 2015. Independent variables included NAPLEX passing rates, history of ACPE probation, NIH funding, academic health center affiliation, dual-degree availability, program length, admit-to-applicant ratio, class size, tuition, student-driven research, clinically focused academic tracks, residency affiliation, U.S. News & World Report rankings, and minority enrollment. Results. In a repeated measures model, predictors of match results were NAPLEX pass rate, class size, academic health center affiliation, admit-to-applicant ratio, U.S. News & World Report rankings, and minority enrollment. Conclusion. Indicators of student achievement, college/school reputation, affiliations, and class demographics were significant predictors of institution-wide residency match rates. Further research is needed to understand how changes in these factors may influence overall match rates. PMID:29367773

Analytical studies on the instabilities of heterogeneous intelligent traffic flow

NASA Astrophysics Data System (ADS)

Ngoduy, D.

2013-10-01

It has been widely reported in literature that a small perturbation in traffic flow such as a sudden deceleration of a vehicle could lead to the formation of traffic jams without a clear bottleneck. These traffic jams are usually related to instabilities in traffic flow. The applications of intelligent traffic systems are a potential solution to reduce the amplitude or to eliminate the formation of such traffic instabilities. A lot of research has been conducted to theoretically study the effect of intelligent vehicles, for example adaptive cruise control vehicles, using either computer simulation or analytical method. However, most current analytical research has only applied to single class traffic flow. To this end, the main topic of this paper is to perform a linear stability analysis to find the stability threshold of heterogeneous traffic flow using microscopic models, particularly the effect of intelligent vehicles on heterogeneous (or multi-class) traffic flow instabilities. The analytical results will show how intelligent vehicle percentages affect the stability of multi-class traffic flow.

Delineating Biophysical Environments of the Sunda Banda Seascape, Indonesia

PubMed Central

Wang, Mingshu; Ahmadia, Gabby N.; Chollett, Iliana; Huang, Charles; Fox, Helen; Wijonarno, Anton; Madden, Marguerite

2015-01-01

The Sunda Banda Seascape (SBS), located in the center of the Coral Triangle, is a global center of marine biodiversity and a conservation priority. We proposed the first biophysical environmental delineation of the SBS using globally available satellite remote sensing and model-assimilated data to categorize this area into unique and meaningful biophysical classes. Specifically, the SBS was partitioned into eight biophysical classes characterized by similar sea surface temperature, chlorophyll a concentration, currents, and salinity patterns. Areas within each class were expected to have similar habitat types and ecosystem functions. Our work supplemented prevailing global marine management schemes by focusing in on a regional scale with finer spatial resolution. It also provided a baseline for academic research, ecological assessments and will facilitate marine spatial planning and conservation activities in the area. In addition, the framework and methods of delineating biophysical environments we presented can be expanded throughout the whole Coral Triangle to support research and conservation activities in this important region. PMID:25648170

Pharmacy Residency School-wide Match Rates and Modifiable Predictors in ACPE-accredited Colleges and Schools of Pharmacy.

PubMed

Whittaker, Alana; Smith, Katherine P; Shan, Guogen

2017-12-01

Objective. To analyze the modifiable predictors of institution-wide residency match rates. Methods. This was a retrospective analysis of colleges and schools of pharmacy data and school-wide PGY-1 pharmacy residency match rates for 2013 through 2015. Independent variables included NAPLEX passing rates, history of ACPE probation, NIH funding, academic health center affiliation, dual-degree availability, program length, admit-to-applicant ratio, class size, tuition, student-driven research, clinically focused academic tracks, residency affiliation, U.S. News & World Report rankings, and minority enrollment. Results. In a repeated measures model, predictors of match results were NAPLEX pass rate, class size, academic health center affiliation, admit-to-applicant ratio, U.S. News & World Report rankings, and minority enrollment. Conclusion. Indicators of student achievement, college/school reputation, affiliations, and class demographics were significant predictors of institution-wide residency match rates. Further research is needed to understand how changes in these factors may influence overall match rates.

Naming, the Formation of Stimulus Classes, and Applied Behavior Analysis.

ERIC Educational Resources Information Center

Stromer, Robert; And Others

1996-01-01

This review of research discusses how children with autism may acquire equivalence classes after learning to supply a common oral name to each stimulus in a potential class. A proposed methodology for researching referent naming and class formation, analysis of stimulus classes, and generalization is offered. (CR)

Membership generation using multilayer neural network

NASA Technical Reports Server (NTRS)

Kim, Jaeseok

1992-01-01

There has been intensive research in neural network applications to pattern recognition problems. Particularly, the back-propagation network has attracted many researchers because of its outstanding performance in pattern recognition applications. In this section, we describe a new method to generate membership functions from training data using a multilayer neural network. The basic idea behind the approach is as follows. The output values of a sigmoid activation function of a neuron bear remarkable resemblance to membership values. Therefore, we can regard the sigmoid activation values as the membership values in fuzzy set theory. Thus, in order to generate class membership values, we first train a suitable multilayer network using a training algorithm such as the back-propagation algorithm. After the training procedure converges, the resulting network can be treated as a membership generation network, where the inputs are feature values and the outputs are membership values in the different classes. This method allows fairly complex membership functions to be generated because the network is highly nonlinear in general. Also, it is to be noted that the membership functions are generated from a classification point of view. For pattern recognition applications, this is highly desirable, although the membership values may not be indicative of the degree of typicality of a feature value in a particular class.

The Dependability of Classroom Observations.

ERIC Educational Resources Information Center

Hiatt, Diana Buell; Keesling, J. Ward

A generalizability study of timed observations was conducted in 25 primary grade classes to observe teachers' use of time--for instruction, evaluation of instruction, and classroom management--according to the hour and day observed. Observational methods used by on-site researchers included videotape, checklists, running documentaries, frequency…

50 CFR 530.3 - Typical classes of action.

Code of Federal Regulations, 2011 CFR

2011-10-01

... respect to the preparation of EIS's or environmental assessments. As a general matter, the Commission's... Federal agency; and (b) Research contracts relating to policy issues, biological-ecological data needed to make sound management decisions, and better methods for collecting and analyzing data. These activities...

Safety and quality of food contact materials. Part 1: evaluation of analytical strategies to introduce migration testing into good manufacturing practice.

PubMed

Feigenbaum, A; Scholler, D; Bouquant, J; Brigot, G; Ferrier, D; Franzl, R; Lillemarktt, L; Riquet, A M; Petersen, J H; van Lierop, B; Yagoubi, N

2002-02-01

The results of a research project (EU AIR Research Programme CT94-1025) aimed to introduce control of migration into good manufacturing practice and into enforcement work are reported. Representative polymer classes were defined on the basis of chemical structure, technological function, migration behaviour and market share. These classes were characterized by analytical methods. Analytical techniques were investigated for identification of potential migrants. High-temperature gas chromatography was shown to be a powerful method and 1H-magnetic resonance provided a convenient fingerprint of plastic materials. Volatile compounds were characterized by headspace techniques, where it was shown to be essential to differentiate volatile compounds desorbed from those generated during the thermal desorption itself. For metal trace analysis, microwave mineralization followed by atomic absorption was employed. These different techniques were introduced into a systematic testing scheme that is envisaged as being suitable both for industrial control and for enforcement laboratories. Guidelines will be proposed in the second part of this paper.

Discovery of novel MHC-class I alleles and haplotypes in Filipino cynomolgus macaques (Macaca fascicularis) by pyrosequencing and Sanger sequencing: Mafa-class I polymorphism.

PubMed

Shiina, Takashi; Yamada, Yukiho; Aarnink, Alice; Suzuki, Shingo; Masuya, Anri; Ito, Sayaka; Ido, Daisuke; Yamanaka, Hisashi; Iwatani, Chizuru; Tsuchiya, Hideaki; Ishigaki, Hirohito; Itoh, Yasushi; Ogasawara, Kazumasa; Kulski, Jerzy K; Blancher, Antoine

2015-10-01

Although the low polymorphism of the major histocompatibility complex (MHC) transplantation genes in the Filipino cynomolgus macaque (Macaca fascicularis) is expected to have important implications in the selection and breeding of animals for medical research, detailed polymorphism information is still lacking for many of the duplicated class I genes. To better elucidate the degree and types of MHC polymorphisms and haplotypes in the Filipino macaque population, we genotyped 127 unrelated animals by the Sanger sequencing method and high-resolution pyrosequencing and identified 112 different alleles, 28 at cynomolgus macaque MHC (Mafa)-A, 54 at Mafa-B, 12 at Mafa-I, 11 at Mafa-E, and seven at Mafa-F alleles, of which 56 were newly described. Of them, the newly discovered Mafa-A8*01:01 lineage allele had low nucleotide similarities (<86%) with primate MHC class I genes, and it was also conserved in the Vietnamese and Indonesian populations. In addition, haplotype estimations revealed 17 Mafa-A, 23 Mafa-B, and 12 Mafa-E haplotypes integrated with 84 Mafa-class I haplotypes and Mafa-F alleles. Of these, the two Mafa-class I haplotypes, F/A/E/B-Hp1 and F/A/E/B-Hp2, had the highest haplotype frequencies at 10.6 and 10.2%, respectively. This suggests that large scale genetic screening of the Filipino macaque population would identify these and other high-frequency Mafa-class I haplotypes that could be used as MHC control animals for the benefit of biomedical research.

Research on cross - Project software defect prediction based on transfer learning

NASA Astrophysics Data System (ADS)

Chen, Ya; Ding, Xiaoming

2018-04-01

According to the two challenges in the prediction of cross-project software defects, the distribution differences between the source project and the target project dataset and the class imbalance in the dataset, proposing a cross-project software defect prediction method based on transfer learning, named NTrA. Firstly, solving the source project data's class imbalance based on the Augmented Neighborhood Cleaning Algorithm. Secondly, the data gravity method is used to give different weights on the basis of the attribute similarity of source project and target project data. Finally, a defect prediction model is constructed by using Trad boost algorithm. Experiments were conducted using data, come from NASA and SOFTLAB respectively, from a published PROMISE dataset. The results show that the method has achieved good values of recall and F-measure, and achieved good prediction results.

Researcher Perspectives on Class Size Reduction

ERIC Educational Resources Information Center

Graue, Elizabeth; Rauscher, Erica

2009-01-01

This article applies to class size research Grant and Graue's (1999) position that reviews of research represent conversations in the academic community. By extending our understanding of the class size reduction conversation beyond published literature to the perspectives of researchers who have studied the topic, we create a review that includes…

Socioeconomic indicators in epidemiologic research: A practical example from the LIFEPATH study

PubMed Central

d’Errico, Angelo; Ricceri, Fulvio; Stringhini, Silvia; Carmeli, Cristian; Kivimaki, Mika; Bartley, Mel; McCrory, Cathal; Bochud, Murielle; Vollenweider, Peter; Tumino, Rosario; Goldberg, Marcel; Zins, Marie; Barros, Henrique; Giles, Graham; Severi, Gianluca

2017-01-01

Background Several social indicators have been used in epidemiological research to describe socioeconomic position (SEP) of people in societies. Among SEP indicators, those more frequently used are education, occupational class and income. Differences in the incidence of several health outcomes have been reported consistently, independently from the indicator employed. Main objectives of the study were to present the socioeconomic classifications of the social indicators which will be employed throughout the LIFEPATH project and to compare social gradients in all-cause mortality observed in the participating adult cohorts using the different SEP indicators. Methods Information on the available social indicators (education, own and father’s occupational class, income) from eleven adult cohorts participating in LIFEPATH was collected and harmonized. Mortality by SEP for each indicator was estimated by Poisson regression on each cohort and then evaluated using a meta-analytical approach. Results In the meta-analysis, among men mortality was significantly inversely associated with both occupational class and education, but not with father’s occupational class; among women, the increase in mortality in lower social strata was smaller than among men and, except for a slight increase in the lowest education category, no significant differences were found. Conclusions Among men, the proposed three-level classifications of occupational class and education were found to predict differences in mortality which is consistent with previous research. Results on women suggest that classifying them through their sole SEP, without considering that of their partners, may imply a misclassification of their social position leading to attenuation of mortality differences. PMID:28557991

Influence of Strategy of Learning and Achievement Motivation of Learning Achievement Class VIII Students of State Junior High School in District Blitar

ERIC Educational Resources Information Center

Ayundawati, Dyah; Setyosari, Punaji; Susilo, Herawati; Sihkabuden

2016-01-01

This study aims for know influence of problem-based learning strategies and achievement motivation on learning achievement. The method used in this research is quantitative method. The instrument used in this study is two fold instruments to measure moderator variable (achievement motivation) and instruments to measure the dependent variable (the…

How Effective Is the Jigsaw Method when Used to Introduce New Science Curricula in Middle School Science?

ERIC Educational Resources Information Center

Dollard, Mark W.; Mahoney, Kate

2010-01-01

The purpose of this study was to determine the effects of the Jigsaw method, a cooperative learning tool, on content knowledge and attitude toward learning science. A group of 64 students in an 8th grade physical science class located in rural western New York participated in this study. As an intervention for this action research study, science…

The Effect of Computer Assisted and Computer Based Teaching Methods on Computer Course Success and Computer Using Attitudes of Students

ERIC Educational Resources Information Center

Tosun, Nilgün; Suçsuz, Nursen; Yigit, Birol

2006-01-01

The purpose of this research was to investigate the effects of the computer-assisted and computer-based instructional methods on students achievement at computer classes and on their attitudes towards using computers. The study, which was completed in 6 weeks, were carried out with 94 sophomores studying in formal education program of Primary…

Education for Older Adults with Early-Stage Dementia: Health Promotion for the Mind, Body, and Spirit

ERIC Educational Resources Information Center

Richeson, Nancy E.; Boyne, Sarah; Brady, E. Michael

2007-01-01

The purpose of this study was to examine the effects of a 13-week adult education class for older adults with early-stage dementia titled Health Promotion for the Mind, Body, and Spirit. The mixed method research design (N = 14) used a quasiexperimental one-group pretest/posttest and the qualitative methods of focus group and phone interview with…

Injection Laser Structure Design.

DTIC Science & Technology

1985-01-30

A. Linz and J. Butler Electrical Engineering Department Southern Methodist University Dallas, Texas 75275 Abstract A numerical method and the... NUMERICAL AND EFFECTIVE-INDEX METHODS FOR A CLASS OF DIELECTRIC WAVEGUIDES* H-.2 A. Linz and J.K. Butler Electrical Engineering Department Southern...University, Dallas, TX, where he is now Professor of Electrical methd w usd i notpraticl fr etensve odeingdue Engineering . His primary research areas are solid

Meta-Analysis of Research on the Relationship of Class-Size and Achievement. The Class Size and Instruction Project.

ERIC Educational Resources Information Center

Glass, Gene V.; Smith, Mary Lee

The first in a series of reports by the Far West Laboratory for Educational Research and Development, this report demonstrates the positive relationship between reduced class size and pupil achievement. The researchers collected about 80 studies that yielded over 700 comparisons of the achievement of smaller and larger classes. The results showed…

Evaluating the Effectiveness of Lecture Capture: Lessons Learned from an Undergraduate Political Research Class

ERIC Educational Resources Information Center

Roberts, James C.

2015-01-01

This article presents the results of a 4-year quasi-experimental study of the effectiveness of lecture capture in an undergraduate political research class. Students self-enrolled in either a traditional in-class lecture-discussion section or a fully online section of a required political research course. The class sessions from the in-class…

Development and Modification of a Response Class via Positive and Negative Reinforcement: A Translational Approach

ERIC Educational Resources Information Center

Mendres, Amber E.; Borrero, John C.

2010-01-01

When responses function to produce the same reinforcer, a response class exists. Researchers have examined response classes in applied settings; however, the challenges associated with conducting applied research on response class development have recently necessitated the development of an analogue response class model. To date, little research…

Virtual Control Policy for Binary Ordered Resources Petri Net Class

PubMed Central

Rovetto, Carlos A.; Concepción, Tomás J.; Cano, Elia Esther

2016-01-01

Prevention and avoidance of deadlocks in sensor networks that use the wormhole routing algorithm is an active research domain. There are diverse control policies that will address this problem being our approach a new method. In this paper we present a virtual control policy for the new specialized Petri net subclass called Binary Ordered Resources Petri Net (BORPN). Essentially, it is an ordinary class constructed from various state machines that share unitary resources in a complex form, which allows branching and joining of processes. The reduced structure of this new class gives advantages that allow analysis of the entire system’s behavior, which is a prohibitive task for large systems because of the complexity and routing algorithms. PMID:27548170

Analysis of creative mathematic thinking ability in problem based learning model based on self-regulation learning

NASA Astrophysics Data System (ADS)

Munahefi, D. N.; Waluya, S. B.; Rochmad

2018-03-01

The purpose of this research identified the effectiveness of Problem Based Learning (PBL) models based on Self Regulation Leaning (SRL) on the ability of mathematical creative thinking and analyzed the ability of mathematical creative thinking of high school students in solving mathematical problems. The population of this study was students of grade X SMA N 3 Klaten. The research method used in this research was sequential explanatory. Quantitative stages with simple random sampling technique, where two classes were selected randomly as experimental class was taught with the PBL model based on SRL and control class was taught with expository model. The selection of samples at the qualitative stage was non-probability sampling technique in which each selected 3 students were high, medium, and low academic levels. PBL model with SRL approach effectived to students’ mathematical creative thinking ability. The ability of mathematical creative thinking of low academic level students with PBL model approach of SRL were achieving the aspect of fluency and flexibility. Students of academic level were achieving fluency and flexibility aspects well. But the originality of students at the academic level was not yet well structured. Students of high academic level could reach the aspect of originality.

Blind Linguistic Steganalysis against Translation Based Steganography

NASA Astrophysics Data System (ADS)

Chen, Zhili; Huang, Liusheng; Meng, Peng; Yang, Wei; Miao, Haibo

Translation based steganography (TBS) is a kind of relatively new and secure linguistic steganography. It takes advantage of the "noise" created by automatic translation of natural language text to encode the secret information. Up to date, there is little research on the steganalysis against this kind of linguistic steganography. In this paper, a blind steganalytic method, which is named natural frequency zoned word distribution analysis (NFZ-WDA), is presented. This method has improved on a previously proposed linguistic steganalysis method based on word distribution which is targeted for the detection of linguistic steganography like nicetext and texto. The new method aims to detect the application of TBS and uses none of the related information about TBS, its only used resource is a word frequency dictionary obtained from a large corpus, or a so called natural frequency dictionary, so it is totally blind. To verify the effectiveness of NFZ-WDA, two experiments with two-class and multi-class SVM classifiers respectively are carried out. The experimental results show that the steganalytic method is pretty promising.

Modern Methods for Modeling Change in Obesity Research in Nursing.

PubMed

Sereika, Susan M; Zheng, Yaguang; Hu, Lu; Burke, Lora E

2017-08-01

Persons receiving treatment for weight loss often demonstrate heterogeneity in lifestyle behaviors and health outcomes over time. Traditional repeated measures approaches focus on the estimation and testing of an average temporal pattern, ignoring the interindividual variability about the trajectory. An alternate person-centered approach, group-based trajectory modeling, can be used to identify distinct latent classes of individuals following similar trajectories of behavior or outcome change as a function of age or time and can be expanded to include time-invariant and time-dependent covariates and outcomes. Another latent class method, growth mixture modeling, builds on group-based trajectory modeling to investigate heterogeneity within the distinct trajectory classes. In this applied methodologic study, group-based trajectory modeling for analyzing changes in behaviors or outcomes is described and contrasted with growth mixture modeling. An illustration of group-based trajectory modeling is provided using calorie intake data from a single-group, single-center prospective study for weight loss in adults who are either overweight or obese.

Redefining Authentic Research Experiences in Introductory Biology Laboratories and Barriers to Their Implementation

PubMed Central

Spell, Rachelle M.; Guinan, Judith A.; Miller, Kristen R.; Beck, Christopher W.

2014-01-01

Incorporating authentic research experiences in introductory biology laboratory classes would greatly expand the number of students exposed to the excitement of discovery and the rigor of the scientific process. However, the essential components of an authentic research experience and the barriers to their implementation in laboratory classes are poorly defined. To guide future reform efforts in this area, we conducted a national survey of biology faculty members to determine 1) their definitions of authentic research experiences in laboratory classes, 2) the extent of authentic research experiences currently experienced in their laboratory classes, and 3) the barriers that prevent incorporation of authentic research experiences into these classes. Strikingly, the definitions of authentic research experiences differ among faculty members and tend to emphasize either the scientific process or the discovery of previously unknown data. The low level of authentic research experiences in introductory biology labs suggests that more development and support is needed to increase undergraduate exposure to research experiences. Faculty members did not cite several barriers commonly assumed to impair pedagogical reform; however, their responses suggest that expanded support for development of research experiences in laboratory classes could address the most common barrier. PMID:24591509

Redefining authentic research experiences in introductory biology laboratories and barriers to their implementation.

PubMed

Spell, Rachelle M; Guinan, Judith A; Miller, Kristen R; Beck, Christopher W

2014-01-01

Incorporating authentic research experiences in introductory biology laboratory classes would greatly expand the number of students exposed to the excitement of discovery and the rigor of the scientific process. However, the essential components of an authentic research experience and the barriers to their implementation in laboratory classes are poorly defined. To guide future reform efforts in this area, we conducted a national survey of biology faculty members to determine 1) their definitions of authentic research experiences in laboratory classes, 2) the extent of authentic research experiences currently experienced in their laboratory classes, and 3) the barriers that prevent incorporation of authentic research experiences into these classes. Strikingly, the definitions of authentic research experiences differ among faculty members and tend to emphasize either the scientific process or the discovery of previously unknown data. The low level of authentic research experiences in introductory biology labs suggests that more development and support is needed to increase undergraduate exposure to research experiences. Faculty members did not cite several barriers commonly assumed to impair pedagogical reform; however, their responses suggest that expanded support for development of research experiences in laboratory classes could address the most common barrier.

A Critical Examination of Communication Textbooks

ERIC Educational Resources Information Center

Hanasono, Lisa K.

2018-01-01

Courses: This single-class teaching activity was designed for courses on critical communication pedagogy (CCP), gender and race, communication education, research methods, and visual communication. Objectives: By completing this activity, students should be able to (1) describe the principles of CCP, (2) examine critically how race and gender are…

ORGANIC AEROSOL SAMPLING AND ANALYSIS METHODS RESEARCH

EPA Science Inventory

Carbonaceous material is a major component of ambient PM at all locations in the U.S. and it is composed of two major classes: organic carbon (OC, composed of hundreds of individual compounds) and elemental carbon (EC, also referred to as soot, black carbon, or light adsorbing ca...

BSP-01: Full Four-Digit Typing for Class I and II HLA Genes | Frederick National Laboratory for Cancer Research

Cancer.gov

The Basic Science Program will receive genomic DNA at a concentration of 50 ng/ul.Human leukocyte antigen (HLA) typing will be performed using atargeted next-generation sequencing (NGS) method.Briefly, locus-specific primers are use

Research Findings on Heat Treatment of Pathogens and Indicator Organisms

EPA Science Inventory

Heat or thermal treatment has been used for many years for reducing the densities of pathogens in food and beverages. Its application for disinfection of municipal sludges has occurred only recently. One method for achieving Class A biosolids is to thermally treat sludges either ...

Epidemic classification of phytosanitary situations on cereal crops using mathematical modeling

USDA-ARS?s Scientific Manuscript database

Most plant protection researchers and experts divide emerging phytosanitary situations into three classes: epidemic, moderate development of disease, and yield depression. The known principles and methods for estimating these situations (Van der Plank J.E., Kranz J. et al.) do not fully describe th...

HPLC method development for evolving applications in the pharmaceutical industry and nanoscale chemistry

NASA Astrophysics Data System (ADS)

Castiglione, Steven Louis

As scientific research trends towards trace levels and smaller architectures, the analytical chemist is often faced with the challenge of quantitating said species in a variety of matricies. The challenge is heightened when the analytes prove to be potentially toxic or possess physical or chemical properties that make traditional analytical methods problematic. In such cases, the successful development of an acceptable quantitative method plays a critical role in the ability to further develop the species under study. This is particularly true for pharmaceutical impurities and nanoparticles (NP). The first portion of the research focuses on the development of a part-per-billion level HPLC method for a substituted phenazine-class pharmaceutical impurity. The development of this method was required due to the need for a rapid methodology to quantitatively determine levels of a potentially toxic phenazine moiety in order to ensure patient safety. As the synthetic pathway for the active ingredient was continuously refined to produce progressively lower amounts of the phenazine impurity, the approach for increasingly sensitive quantitative methods was required. The approaches evolved across four discrete methods, each employing a unique scheme for analyte detection. All developed methods were evaluated with regards to accuracy, precision and linear adherence as well as ancillary benefits and detriments -- e.g., one method in this evolution demonstrated the ability to resolve and detect other species from the phenazine class. The second portion of the research focuses on the development of an HPLC method for the quantitative determination of NP size distributions. The current methodology for the determination of NP sizes employs tunneling electron microscopy (TEM), which requires sample drying without particle size alteration and which, in many cases, may prove infeasible due to cost or availability. The feasibility of an HPLC method for NP size characterizations evolved across three methods, each employing a different approach for size resolution. These methods were evaluated primarily for sensitivity, which proved to be a substantial hurdle to further development, but does not appear to deter future research efforts.

Using Latent Class Analysis to Model Temperament Types.

PubMed

Loken, Eric

2004-10-01

Mixture models are appropriate for data that arise from a set of qualitatively different subpopulations. In this study, latent class analysis was applied to observational data from a laboratory assessment of infant temperament at four months of age. The EM algorithm was used to fit the models, and the Bayesian method of posterior predictive checks was used for model selection. Results show at least three types of infant temperament, with patterns consistent with those identified by previous researchers who classified the infants using a theoretically based system. Multiple imputation of group memberships is proposed as an alternative to assigning subjects to the latent class with maximum posterior probability in order to reflect variance due to uncertainty in the parameter estimation. Latent class membership at four months of age predicted longitudinal outcomes at four years of age. The example illustrates issues relevant to all mixture models, including estimation, multi-modality, model selection, and comparisons based on the latent group indicators.

Profile of Students Uninterested in Practicum Class at Faculty of Engineering Universitas Negeri Surabaya

NASA Astrophysics Data System (ADS)

Munoto; Sondang, Meini; Satriana, FMS

2018-04-01

This study aims to determine the characteristics of students who were uninterested in attending practicum classes. This study applied naturalistic qualitative research methods using participatory observation and interviews. The data validity was ensured by triangulation, detailed description, length of observation time, as well as details and thorough observation. The data were analyzed using domain analysis and followed by conducting taxonomic, component, and thematic analyses. The results of the study indicate that faineant students show a negative behavior while attending laboratory practicums. They have a lack of motivation, effective interaction, and attention. The cognitive abilities vary from low to high. Other causes on how the aspects of the study were low were found as well, therefore improving those aspects allows students to raise their interest in practicum classes. The impact is to create well-skilled vocational teachers in conducting practicum classes in vocational schools and to make graduates better-prepared for the workforce.

Lay Americans' views of why scientists disagree with each other.

PubMed

Johnson, Branden B; Dieckmann, Nathan F

2017-10-01

A survey experiment assessed response to five explanations of scientific disputes: problem complexity, self-interest, values, competence, and process choices (e.g. theories and methods). A US lay sample ( n = 453) did not distinguish interests from values, nor competence from process, as explanations of disputes. Process/competence was rated most likely and interests/values least; all, on average, were deemed likely to explain scientific disputes. Latent class analysis revealed distinct subgroups varying in their explanation preferences, with a more complex latent class structure for participants who had heard of scientific disputes in the past. Scientific positivism and judgments of science's credibility were the strongest predictors of latent class membership, controlling for scientific reasoning, political ideology, confidence in choice, scenario, education, gender, age, and ethnicity. The lack of distinction observed overall between different explanations, as well as within classes, raises challenges for further research on explanations of scientific disputes people find credible and why.

Statistically Derived Subtypes and Associations with Cerebrospinal Fluid and Genetic Biomarkers in Mild Cognitive Impairment: A Latent Profile Analysis.

PubMed

Eppig, Joel S; Edmonds, Emily C; Campbell, Laura; Sanderson-Cimino, Mark; Delano-Wood, Lisa; Bondi, Mark W

2017-08-01

Research demonstrates heterogeneous neuropsychological profiles among individuals with mild cognitive impairment (MCI). However, few studies have included visuoconstructional ability or used latent mixture modeling to statistically identify MCI subtypes. Therefore, we examined whether unique neuropsychological MCI profiles could be ascertained using latent profile analysis (LPA), and subsequently investigated cerebrospinal fluid (CSF) biomarkers, genotype, and longitudinal clinical outcomes between the empirically derived classes. A total of 806 participants diagnosed by means of the Alzheimer's Disease Neuroimaging Initiative (ADNI) MCI criteria received a comprehensive neuropsychological battery assessing visuoconstructional ability, language, attention/executive function, and episodic memory. Test scores were adjusted for demographic characteristics using standardized regression coefficients based on "robust" normal control performance (n=260). Calculated Z-scores were subsequently used in the LPA, and CSF-derived biomarkers, genotype, and longitudinal clinical outcome were evaluated between the LPA-derived MCI classes. Statistical fit indices suggested a 3-class model was the optimal LPA solution. The three-class LPA consisted of a mixed impairment MCI class (n=106), an amnestic MCI class (n=455), and an LPA-derived normal class (n=245). Additionally, the amnestic and mixed classes were more likely to be apolipoprotein e4+ and have worse Alzheimer's disease CSF biomarkers than LPA-derived normal subjects. Our study supports significant heterogeneity in MCI neuropsychological profiles using LPA and extends prior work (Edmonds et al., 2015) by demonstrating a lower rate of progression in the approximately one-third of ADNI MCI individuals who may represent "false-positive" diagnoses. Our results underscore the importance of using sensitive, actuarial methods for diagnosing MCI, as current diagnostic methods may be over-inclusive. (JINS, 2017, 23, 564-576).

Assessing Juvenile Salmonid Passage Through Culverts: Field Research in Support of Protocol Development

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

Williams, Greg D.; Evans, Nathan R.; Pearson, Walter H.

2001-10-30

The primary goal of our research this spring/ summer was to refine techniques and examine scenarios under which a standardized protocol could be applied to assess juvenile coho salmon (O. kisutch) passage through road culverts. Field evaluations focused on capture-mark- recapture methods that allowed analysis of fish movement patterns, estimates of culvert passability, and potential identification of cues inducing these movements. At this stage, 0+ age coho salmon fry 30 mm to 65 mm long (fork length) were the species and age class of interest. Ultimately, the protocol will provide rapid, statistically rigorous methods for trained personnel to perform standardizedmore » biological assessments of culvert passability to a number of juvenile salmon species. Questions to be addressed by the research include the following: ? Do hydraulic structures such as culverts restrict habitat for juvenile salmonids? ? How do existing culverts and retrofits perform relative to juvenile salmonid passage? ? Do some culvert characteristics and hydraulic conditions provide better passage than others? ? Does the culvert represent a barrier to certain size classes of fish? Recommendations addressed issues of study site selection, initial capture, marking, recapture/observations, and estimating movement.« less

Characterization of the antibiotic compound no. 70 produced by Streptomyces sp. IMV-70.

PubMed

Trenozhnikova, Lyudmila P; Khasenova, Almagul K; Balgimbaeva, Assya S; Fedorova, Galina B; Katrukha, Genrikh S; Tokareva, Nina L; Kwa, Boo H; Azizan, Azliyati

2012-01-01

We describe the actinomycete strain IMV-70 isolated from the soils of Kazakhstan, which produces potent antibiotics with high levels of antibacterial activity. After the research of its morphological, chemotaxonomic, and cultural characteristics, the strain with potential to be developed further as a novel class of antibiotics with chemotherapeutics potential was identified as Streptomyces sp. IMV-70. In the process of fermentation, the strain Streptomyces spp. IMV-70 produces the antibiotic no. 70, which was isolated from the culture broth by extraction with organic solvents. Antibiotic compound no. 70 was purified and separated into individual components by HPLC, TLC, and column chromatography methods. The main component of the compound is the antibiotic 70-A, which was found to be identical to the peptolide etamycin A. Two other antibiotics 70-B and 70-C have never been described and therefore are new antibiotics. The physical-chemical and biological characteristics of these preparations were described and further researched. Determination of the optimal growth conditions to cultivate actinomycete-producer strain IMV-70 and development of methods to isolate, purify, and accumulate preparations of the new antibiotic no. 70 enable us to research further the potential of this new class of antibiotics.

Characterization of the Antibiotic Compound No. 70 Produced by Streptomyces sp. IMV-70

PubMed Central

Trenozhnikova, Lyudmila P.; Khasenova, Almagul K.; Balgimbaeva, Assya S.; Fedorova, Galina B.; Katrukha, Genrikh S.; Tokareva, Nina L.; Kwa, Boo H.; Azizan, Azliyati

2012-01-01

We describe the actinomycete strain IMV-70 isolated from the soils of Kazakhstan, which produces potent antibiotics with high levels of antibacterial activity. After the research of its morphological, chemotaxonomic, and cultural characteristics, the strain with potential to be developed further as a novel class of antibiotics with chemotherapeutics potential was identified as Streptomyces sp. IMV-70. In the process of fermentation, the strain Streptomyces spp. IMV-70 produces the antibiotic no. 70, which was isolated from the culture broth by extraction with organic solvents. Antibiotic compound no. 70 was purified and separated into individual components by HPLC, TLC, and column chromatography methods. The main component of the compound is the antibiotic 70-A, which was found to be identical to the peptolide etamycin A. Two other antibiotics 70-B and 70-C have never been described and therefore are new antibiotics. The physical-chemical and biological characteristics of these preparations were described and further researched. Determination of the optimal growth conditions to cultivate actinomycete-producer strain IMV-70 and development of methods to isolate, purify, and accumulate preparations of the new antibiotic no. 70 enable us to research further the potential of this new class of antibiotics. PMID:22536145

Characterization of Class A low-level radioactive waste 1986--1990. Volume 6: Appendices G--J

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

Dehmel, J.C.; Loomis, D.; Mauro, J.

1994-01-01

Under contract to the US Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, the firms of S. Cohen & Associates, Inc. (SC&A) and Eastern Research Group (ERG) have compiled a report that describes the physical, chemical, and radiological properties of Class-A low-level radioactive waste. The report also presents information characterizing various methods and facilities used to treat and dispose non-radioactive waste. A database management program was developed for use in accessing, sorting, analyzing, and displaying the electronic data provided by EG&G. The program was used to present and aggregate data characterizing the radiological, physical, and chemical properties of the wastemore » from descriptions contained in shipping manifests. The data thus retrieved are summarized in tables, histograms, and cumulative distribution curves presenting radionuclide concentration distributions in Class-A waste as a function of waste streams, by category of waste generators, and regions of the United States. The report also provides information characterizing methods and facilities used to treat and dispose non-radioactive waste, including industrial, municipal, and hazardous waste regulated under Subparts C and D of the Resource Conservation and Recovery Act (RCRA). The information includes a list of disposal options, the geographical locations of the processing and disposal facilities, and a description of the characteristics of such processing and disposal facilities. Volume 1 contains the Executive Summary, Volume 2 presents the Class-A waste database, Volume 3 presents the information characterizing non-radioactive waste management practices and facilities, and Volumes 4 through 7 contain Appendices A through P with supporting information.« less

Using latent class analysis to model prescription medications in the measurement of falling among a community elderly population

PubMed Central

2013-01-01

Background Falls among the elderly are a major public health concern. Therefore, the possibility of a modeling technique which could better estimate fall probability is both timely and needed. Using biomedical, pharmacological and demographic variables as predictors, latent class analysis (LCA) is demonstrated as a tool for the prediction of falls among community dwelling elderly. Methods Using a retrospective data-set a two-step LCA modeling approach was employed. First, we looked for the optimal number of latent classes for the seven medical indicators, along with the patients’ prescription medication and three covariates (age, gender, and number of medications). Second, the appropriate latent class structure, with the covariates, were modeled on the distal outcome (fall/no fall). The default estimator was maximum likelihood with robust standard errors. The Pearson chi-square, likelihood ratio chi-square, BIC, Lo-Mendell-Rubin Adjusted Likelihood Ratio test and the bootstrap likelihood ratio test were used for model comparisons. Results A review of the model fit indices with covariates shows that a six-class solution was preferred. The predictive probability for latent classes ranged from 84% to 97%. Entropy, a measure of classification accuracy, was good at 90%. Specific prescription medications were found to strongly influence group membership. Conclusions In conclusion the LCA method was effective at finding relevant subgroups within a heterogenous at-risk population for falling. This study demonstrated that LCA offers researchers a valuable tool to model medical data. PMID:23705639

The effect of team accelerated instruction on students’ mathematics achievement and learning motivation

NASA Astrophysics Data System (ADS)

Sri Purnami, Agustina; Adi Widodo, Sri; Charitas Indra Prahmana, Rully

2018-01-01

This study aimed to know the improvement of achievement and motivation of learning mathematics by using Team Accelerated Instruction. The research method used was the experiment with descriptive pre-test post-test experiment. The population in this study was all students of class VIII junior high school in Jogjakarta. The sample was taken using cluster random sampling technique. The instrument used in this research was questionnaire and test. Data analysis technique used was Wilcoxon test. It concluded that there was an increase in motivation and student achievement of class VII on linear equation system material by using the learning model of Team Accelerated Instruction. Based on the results of the learning model Team Accelerated Instruction can be used as a variation model in learning mathematics.

Preliminary evaluation of a coping strategy enhancement method of preparation for labour.

PubMed

Escott, Diane; Slade, Pauline; Spiby, Helen; Fraser, Robert B

2005-09-01

To compare the use and effects of enhanced pre-existing coping strategies with the use and effects of coping strategies usually taught in National Health Service (NHS) antenatal education on women's experience of pain and emotions during labour. A between-group comparison of women who chose to attend NHS antenatal education where courses of preparation were randomly assigned to include either a new method of coping strategy enhancement (CSE) or standard taught coping strategies. Two large maternity units in one city in the North of England. 20 women participated in antenatal classes incorporating the CSE method and 21 women participated in antenatal classes incorporating the standard approach to developing coping strategies for labour. Women who attended CSE classes used enhanced coping strategies for a larger proportion of their labour than women who attended standard classes who used taught coping strategies. Birth companions were more involved in women's use of enhanced than taught strategies. Self-efficacy for use of coping strategies and subsequent experiences of pain and emotions during labour were equivalent between groups. An approach based on enhancing pre-existing coping strategies was associated with greater coping strategy use and involvement from the birth companion, and provided benefits to women's overall experience of labour at least equivalent to that associated with standard preparation. Further research should explore this novel approach in larger groups, and for women who may choose not to attend group antenatal preparation.

TTWand NHT in problem solving

NASA Astrophysics Data System (ADS)

Anthycamurty, R. C. C.; Mardiyana; Saputro, D. R. S.

2018-05-01

This research aims to analyze and determine effect of the model on problem solving. Subjects in this research are students of class X SMK in Purworejo. The learning model used in this research was TTW in class experimental 1 and NHT class experiment 2. This research used quasi experiment. Data analysis technique in this research used ANOVA two way. Data collection techniques in this research used tests to measure student problem solving and GEFT to measure students' cognitive style. The results of this research indicate that there are differences in problem solving between experimental classes used TTW and NHT. The impact of this research is that students are able to remind problem solving used learning model and to know cognitive style of the students.

Teaching Aids a Special Pedagogy Tool of Brain Development in School Children, Interest and Academic Achievement to Enhance Future Technology

ERIC Educational Resources Information Center

Ohwojero, Chamberlain Joseph

2015-01-01

The school system is an institution where teachers adopt different teaching methods to impact knowledge and skills. The teaching method adopted by a class teacher has a great effect on children interest, academic achievement and brain development of a child. To support this fact the researcher used two groups of children from ten schools to carry…

Decision-Tree Program

NASA Technical Reports Server (NTRS)

Buntine, Wray

1994-01-01

IND computer program introduces Bayesian and Markov/maximum-likelihood (MML) methods and more-sophisticated methods of searching in growing trees. Produces more-accurate class-probability estimates important in applications like diagnosis. Provides range of features and styles with convenience for casual user, fine-tuning for advanced user or for those interested in research. Consists of four basic kinds of routines: data-manipulation, tree-generation, tree-testing, and tree-display. Written in C language.

Implementing Social Norm Pedagogy to Impact Students' Personal Health Behavior

ERIC Educational Resources Information Center

Kramer, Mary M.; Stover, Sheri

2015-01-01

This quantitative exploratory research study describes the incorporation of Social Norms as a unique pedagogical method in an undergraduate Health Behaviors course (N = 32). With the use of an audience response system (clickers), students anonymously answered health-behavior related questions. Aggregate data from the class was compared to state…

Investigation of Proprioceptor Stimulation.

ERIC Educational Resources Information Center

Caukins, Sivan E.; And Others

A research proposal to study the effect of multisensory teaching methods in first-grade reading is presented. The focus is on sex differences in learning and in multisensory approaches to teaching. The project will involve 10 experimental and 10 control first-grade classes in several Southern California schools. Both groups will be given IQ,…

Collaborative Learning in the Dance Technique Class

ERIC Educational Resources Information Center

Raman, Tanja

2009-01-01

This research was designed to enhance dance technique learning by promoting critical thinking amongst students studying on a degree programme at the University of Wales Institute, Cardiff. Students were taught Cunningham-based dance technique using pair work together with the traditional demonstration/copying method. To evaluate the study,…

Concentration Places, Concentration Evolutions, and Online Information Retrieval Techniques for Calculating Them.

ERIC Educational Resources Information Center

Egghe, L.

1988-01-01

Presents a mathematical theory that can be used to define concentration places of objects within unordered classes. The application to research on the evolution of journals and subject areas is illustrated, and an online method of calculating concentration evolution is described. (1 references) (CLB)

9 CFR 2.6 - Annual license fees.

Code of Federal Regulations, 2010 CFR

2010-01-01

... method used to calculate the license fee. All initial license and changed class of license fees must be... research facilities, dealers, exhibitors, retail pet stores, and persons for use as pets, directly or through an auction sale, by the dealer or applicant during his or her preceding business year (calendar or...

Estimating a Noncompensatory IRT Model Using Metropolis within Gibbs Sampling

ERIC Educational Resources Information Center

Babcock, Ben

2011-01-01

Relatively little research has been conducted with the noncompensatory class of multidimensional item response theory (MIRT) models. A Monte Carlo simulation study was conducted exploring the estimation of a two-parameter noncompensatory item response theory (IRT) model. The estimation method used was a Metropolis-Hastings within Gibbs algorithm…

Invited OSU class lecture: An integrated eco-hydrologic modeling framework for assessing the effects of interacting stressors on multiple ecosystem services

EPA Science Inventory

The U.S. Environmental Protection Agency recently established the Ecosystem Services Research Program to help formulate methods and models for conducting comprehensive risk assessments that quantify how multiple ecosystem services interact and respond in concert to environmental ...

Defining and Redefining Boundaries in the Creative Writing Workshop.

ERIC Educational Resources Information Center

Reichert, Nancy L.

Acting as a team, a graduate research methods class at Florida State University studied a first-year imaginative writing course, "Writing from Life," designed to help students write autobiography, fiction, and poetry. In the course of this study, intriguing differences became apparent between the attitudes and approaches in this class…

A Multiple Case Study of College-Contextualized Mathematics Curriculum

ERIC Educational Resources Information Center

Valenzuela, Hector

2018-01-01

Contextualization is a method used for mathematics curriculum design within lesson plans and as a pedagogical practice in face-to-face classes. Many researchers are studying the effects of using contextualization in the teaching and the learning process for mathematics (Bottge & Cho, 2013; Perin, 2011; Young, Hodge, Edwards, & Leising,…

Experiential Learning in Hospitality Management Education

ERIC Educational Resources Information Center

Brennen, Paul George

2017-01-01

The research study recognized that, although the knowledge obtained from academic textbooks and traditional classes are important to post-secondary hospitality management curriculum as they provide numerous insights and perspectives of different methods to manage a particular avenue within the hospitality industry; it is not the only aspect of the…

Digital Communication Applications in the Online Learning Environment

ERIC Educational Resources Information Center

Lambeth, Krista Jill

2011-01-01

Scope and method of study. The purpose of this study was for the researcher to obtain a better understanding of the online learning environment, to explore the various ways online class instructors have incorporated digital communication applications to try and provide learner-centered online learning environments, and to examine students'…

Pupils' Cognitive Activity Stimulation by Means of Physical Training

ERIC Educational Resources Information Center

Nekhoroshkov, Anatolij V.

2016-01-01

The article presents the research results of the physical activity influence on the intellectual performance of high school students. The methods of experiments and standardized observation were used. The efficiency of the cognitive activity was assessed by "Proof test" technique of B. Burdon. Within the experimental class, the program…

Integrated Language Experience Approach--Using Research Unit.

ERIC Educational Resources Information Center

Warren City Schools, OH.

This program, included in "Effective Reading Programs...," is the result of the efforts of a small team of teachers who desired an alternative method for teaching efficient reading and study skills to underachieving high school students and for supplementing remedial reading classes. Begun in 1972, the program serves 130 ninth graders…

Predicting Student Success in College: What Does the Research Say?

ERIC Educational Resources Information Center

Merante, Joseph A.

1983-01-01

Reviews various methods for predicting college success: correlation of students' high school grades, achievement test scores, and class rank with characteristics of the institution to be attended; examination of demographic variables such as age, sex, birth order, income, parents' education, religious and ethnic background, and geographic factors;…

Developmental Perspectives on Reflective Practices of Elementary Science Education Students

ERIC Educational Resources Information Center

Olson, Joanne K.; Finson, Kevin D.

2009-01-01

Instructors of elementary science methods classes have long lamented the significant difficulties their students exhibit when trying to understand the many complexities of teaching science. As noted by some researchers and practicing teachers, preservice teachers often fail to developmentally function at desired levels with respect to…

TAMIU College Student Survey, November 1997.

ERIC Educational Resources Information Center

Coppock, Marjorie L.

In fall 1997, students in a Social Science Research Methods class developed and administered a survey questionnaire to assess the degree of stress experienced by students at Texas A&M International University (TAMIU). Located in Laredo, TAMIU serves communities along the Texas-Mexico border. The student body includes many older students who…

Grouping for Inequity

ERIC Educational Resources Information Center

Macqueen, Suzanne Elizabeth

2013-01-01

The inequity of streaming as a method of organising classes was established by research conducted in the 1960s and 1970s. While the practice produces small advantages for limited groups of students, it hinders the academic and social advancement of the majority. Although streaming has declined, new forms of achievement grouping have emerged, with…

Japanese Physical Education Teachers' Beliefs about Teaching Students with Disabilities

ERIC Educational Resources Information Center

Sato, Takahiro; Hodge, Samuel R.; Murata, Nathan M.; Maeda, Julienne K.

2007-01-01

The purpose of this study was to describe Japanese physical education (PE) teachers' beliefs about teaching students with disabilities in integrated classes. Participants were five Japanese PE teachers (one women and four men). The research was descriptive and qualitative, using an interviewing method. Data were gathered in interviews, analysed…

Mass Instruction or Higher Learning? The Impact of College Class Size on Student Retention and Graduation

ERIC Educational Resources Information Center

Bettinger, Eric P.; Long, Bridget Terry

2018-01-01

This paper measures the effects of collegiate class size on college retention and graduation. Class size is a perennial issue in research on primary and secondary schooling. Few researchers have focused on the causal impacts of collegiate class size, however. Whereas college students have greater choice of classes, selection problems and nonrandom…

Constructing Class: Exploring the Lived Experience of White Female Student Affairs Professionals from Working Class Families

ERIC Educational Resources Information Center

Svoboda, Victoria

2012-01-01

Researchers have explored the issue of social class in higher education through the experiences of students and faculty, but have not yet analyzed the experiences of student affairs staff. Past researchers have conflated or ignored issues of race in studies on class, and rarely acknowledge gender as a variable in the classed experience. Student…

Detection of sunn pest-damaged wheat samples using visible/near-infrared spectroscopy based on pattern recognition.

PubMed

Basati, Zahra; Jamshidi, Bahareh; Rasekh, Mansour; Abbaspour-Gilandeh, Yousef

2018-05-30

The presence of sunn pest-damaged grains in wheat mass reduces the quality of flour and bread produced from it. Therefore, it is essential to assess the quality of the samples in collecting and storage centers of wheat and flour mills. In this research, the capability of visible/near-infrared (Vis/NIR) spectroscopy combined with pattern recognition methods was investigated for discrimination of wheat samples with different percentages of sunn pest-damaged. To this end, various samples belonging to five classes (healthy and 5%, 10%, 15% and 20% unhealthy) were analyzed using Vis/NIR spectroscopy (wavelength range of 350-1000 nm) based on both supervised and unsupervised pattern recognition methods. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) as the unsupervised techniques and soft independent modeling of class analogies (SIMCA) and partial least squares-discriminant analysis (PLS-DA) as supervised methods were used. The results showed that Vis/NIR spectra of healthy samples were correctly clustered using both PCA and HCA. Due to the high overlapping between the four unhealthy classes (5%, 10%, 15% and 20%), it was not possible to discriminate all the unhealthy samples in individual classes. However, when considering only the two main categories of healthy and unhealthy, an acceptable degree of separation between the classes can be obtained after classification with supervised pattern recognition methods of SIMCA and PLS-DA. SIMCA based on PCA modeling correctly classified samples in two classes of healthy and unhealthy with classification accuracy of 100%. Moreover, the power of the wavelengths of 839 nm, 918 nm and 995 nm were more than other wavelengths to discriminate two classes of healthy and unhealthy. It was also concluded that PLS-DA provides excellent classification results of healthy and unhealthy samples (R 2  = 0.973 and RMSECV = 0.057). Therefore, Vis/NIR spectroscopy based on pattern recognition techniques can be useful for rapid distinguishing the healthy wheat samples from those damaged by sunn pest in the maintenance and processing centers. Copyright © 2018 Elsevier B.V. All rights reserved.

Impact of the 3-D model strategy on science learning of the solar system

NASA Astrophysics Data System (ADS)

Alharbi, Mohammed

The purpose of this mixed method study, quantitative and descriptive, was to determine whether the first-middle grade (seventh grade) students at Saudi schools are able to learn and use the Autodesk Maya software to interact and create their own 3-D models and animations and whether their use of the software influences their study habits and their understanding of the school subject matter. The study revealed that there is value to the science students regarding the use of 3-D software to create 3-D models to complete science assignments. Also, this study aimed to address the middle-school students' ability to learn 3-D software in art class, and then ultimately use it in their science class. The success of this study may open the way to consider the impact of 3-D modeling on other school subjects, such as mathematics, art, and geography. When the students start using graphic design, including 3-D software, at a young age, they tend to develop personal creativity and skills. The success of this study, if applied in schools, will provide the community with skillful young designers and increase awareness of graphic design and the new 3-D technology. Experimental method was used to answer the quantitative research question, are there significant differences applying the learning method using 3-D models (no 3-D, premade 3-D, and create 3-D) in a science class being taught about the solar system and its impact on the students' science achievement scores? Descriptive method was used to answer the qualitative research questions that are about the difficulty of learning and using Autodesk Maya software, time that students take to use the basic levels of Polygon and Animation parts of the Autodesk Maya software, and level of students' work quality.

Automated Solar Flare Detection and Feature Extraction in High-Resolution and Full-Disk Hα Images

NASA Astrophysics Data System (ADS)

Yang, Meng; Tian, Yu; Liu, Yangyi; Rao, Changhui

2018-05-01

In this article, an automated solar flare detection method applied to both full-disk and local high-resolution Hα images is proposed. An adaptive gray threshold and an area threshold are used to segment the flare region. Features of each detected flare event are extracted, e.g. the start, peak, and end time, the importance class, and the brightness class. Experimental results have verified that the proposed method can obtain more stable and accurate segmentation results than previous works on full-disk images from Big Bear Solar Observatory (BBSO) and Kanzelhöhe Observatory for Solar and Environmental Research (KSO), and satisfying segmentation results on high-resolution images from the Goode Solar Telescope (GST). Moreover, the extracted flare features correlate well with the data given by KSO. The method may be able to implement a more complicated statistical analysis of Hα solar flares.

NUEN-618 Class Project: Actually Implicit Monte Carlo

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

Vega, R. M.; Brunner, T. A.

2017-12-14

This research describes a new method for the solution of the thermal radiative transfer (TRT) equations that is implicit in time which will be called Actually Implicit Monte Carlo (AIMC). This section aims to introduce the TRT equations, as well as the current workhorse method which is known as Implicit Monte Carlo (IMC). As the name of the method proposed here indicates, IMC is a misnomer in that it is only semi-implicit, which will be shown in this section as well.

In-situ intestinal rat perfusions for human Fabs prediction and BCS permeability class determination: Investigation of the single-pass vs. the Doluisio experimental approaches.

PubMed

Lozoya-Agullo, Isabel; Zur, Moran; Wolk, Omri; Beig, Avital; González-Álvarez, Isabel; González-Álvarez, Marta; Merino-Sanjuán, Matilde; Bermejo, Marival; Dahan, Arik

2015-03-01

Intestinal drug permeability has been recognized as a critical determinant of the fraction dose absorbed, with direct influence on bioavailability, bioequivalence and biowaiver. The purpose of this research was to compare intestinal permeability values obtained by two different intestinal rat perfusion methods: the single-pass intestinal perfusion (SPIP) model and the Doluisio (closed-loop) rat perfusion method. A list of 15 model drugs with different permeability characteristics (low, moderate, and high, as well as passively and actively absorbed) was constructed. We assessed the rat intestinal permeability of these 15 model drugs in both SPIP and the Doluisio methods, and evaluated the correlation between them. We then evaluated the ability of each of these methods to predict the fraction dose absorbed (Fabs) in humans, and to assign the correct BCS permeability class membership. Excellent correlation was obtained between the two experimental methods (r(2)=0.93). An excellent correlation was also shown between literature Fabs values and the predictions made by both rat perfusion techniques. Similar BCS permeability class membership was designated by literature data and by both SPIP and Doluisio methods for all compounds. In conclusion, the SPIP model and the Doluisio (closed-loop) rat perfusion method are both equally useful for obtaining intestinal permeability values that can be used for Fabs prediction and BCS classification. Copyright © 2015 Elsevier B.V. All rights reserved.

The influence of an elective introductory clinical research course on pharmacy student interest in pursuing research-based careers.

PubMed

Overholser, Brian R; Foster, David R; Henry, Joshua R; Plake, Kimberly S; Sowinski, Kevin M

2010-11-10

To assess the impact of an elective clinical research course on second- and third-year pharmacy students' knowledge of clinical research methods, training programs, career options, and interest in pursuing postgraduate training. A 2-credit hour elective course in clinical research was designed that included lectures, discussions, workshops, and in-class presentations related to study design and implementation, protocol synthesis, research evaluation, ethical and legal considerations, data analysis, and professional opportunities involving clinical research. Learner knowledge of these topics was assessed using several methods, including 3 assignments related to research protocol, ethical documentation, and presentation. A survey instrument designed to evaluate the effect the course had on pharmacy students' knowledge of clinical research methods and interest in pursuing postgraduate training in clinical research was administered. Students who completed the elective had a greater level of familiarity with research-related topics, training options, and career opportunities (p < 0.05) and a greater interest in pursuing a career in clinical research (p < 0.05) than did students in a matched control group. Taking a 2-credit hour elective course in clinical research increased pharmacy students' interest in pursuing a career in clinical research.

The Conundrum of Social Class: Disparities in Publishing among STEM Students in Undergraduate Research Programs at a Hispanic Majority Institution

ERIC Educational Resources Information Center

Grineski, Sara; Daniels, Heather; Collins, Timothy; Morales, Danielle X.; Frederick, Angela; Garcia, Marilyn

2018-01-01

Research on the science, technology, engineering, and math (STEM) student development pipeline has largely ignored social class and instead examined inequalities based on gender and race. We investigate the role of social class in undergraduate student research publications. Data come from a sample of 213 undergraduate research participants…

Mississippi Community College Student Transitioning Factors from Noncredit to Credit Classes

ERIC Educational Resources Information Center

Kuntz, Wayne A.

2017-01-01

Most research about college students concentrates on credit students, with relatively little research focusing on noncredit students and why some transition from noncredit courses into credit classes. This dissertation research examined factors that may contribute to students transitioning from noncredit courses into credit classes at Mississippi…

Justice, fairness, and membership in a class: conceptual confusions and moral puzzles in the regulation of human subjects research.

PubMed

Iltis, Ana S

2011-01-01

This essay examines conceptual difficulties with one of the ways in which justice has been understood and applied the ethical and regulatory review of human research. Justice requires the fair distribution of the benefits and burdens of research. Class membership is seen as justifying inclusion in higher hazard-no benefit research from which members of potentially vulnerable classes, such as children, typically would be excluded. I argue that class membership does not do the justificatory work it is thought to do and that the use of class membership to justify inclusion in higher hazard-no benefit research leads to unjustified discrimination of sick children and offers special protections to healthy children. © 2011 American Society of Law, Medicine & Ethics, Inc.

The Opinions about Relationship between Students and Teachers in the Class of Hands-on

NASA Astrophysics Data System (ADS)

Pigultong, M.

2018-02-01

This research has the purpose to study on 1) Relationship between Students and Teachers in the Class of Hands - on and 2) Class Management at Rajamangala University of Technology Thanyaburi. The research consists of collecting information from 400 students who have valid student status in 2016 at Rajamangala University of Technology Thanyaburi. This research uses content analysis technique, Average (-X) and Standard Deviation to interpret the information. The results of the research focus on 2 topics 1) The Human relationship between Students and Teachers. The samples group had high expectations of human relationship (x=3.87). 2) Class Management. The samples group had high expectations of Class Management (x=3.88).

Source localization of non-stationary acoustic data using time-frequency analysis

NASA Astrophysics Data System (ADS)

Stoughton, Jack; Edmonson, William

2005-04-01

An improvement in temporal locality of the generalized cross-correlation (GCC) for angle of arrival (AOA) estimation can be achieved by employing 2-D cross-correlation of infrasonic sensor data transformed to its time-frequency (TF) representation. Intermediate to the AOA evaluation is the time delay between pairs of sensors. The signal class of interest includes far field sources which are partially coherent across the array, nonstationary, and wideband. In addition, signals can occur as multiple short bursts, for which TF representations may be more appropriate for time delay estimation. The GCC tends to smooth out such temporal energy bursts. Simulation and experimental results will demonstrate the improvement in using a TF-based GCC, using the Cohen class, over the classic GCC method. Comparative demonstration of the methods will be performed on data captured on an infrasonic sensor array located at NASA Langley Research Center (LaRC). The infrasonic data sources include Delta IV and Space Shuttle launches from Kennedy Space Center which belong to the stated signal class. Of interest is to apply this method to the AOA estimation of atmospheric turbulence. [Work supported by NASA LaRC Creativity and Innovation project: Infrasonic Detection of Clear Air Turbulence and Severe Storms.

Assessing Bilingual Knowledge Organization in Secondary Science Classrooms =

NASA Astrophysics Data System (ADS)

Wu, Jason S.

Improving outcomes for English language learners (ELLs) in secondary science remains an area of high need. The purpose of this study is to investigate bilingual knowledge organization in secondary science classrooms. This study involved thirty-nine bilingual students in three biology classes at a public high school in The Bronx, New York City. Methods included an in-class survey on language use, a science content and English proficiency exam, and bilingual free-recalls. Fourteen students participated in bilingual free-recalls which involved a semi-structured process of oral recall of information learned in science class. Free-recall was conducted in both English and Spanish and analyzed using flow-map methods. Novel methods were developed to quantify and visualize the elaboration and mobilization of ideas shared across languages. It was found that bilingual narratives displayed similar levels of organizational complexity across languages, though English recalls tended to be longer. English proficiency was correlated with narrative complexity in English. There was a high degree of elaboration on concepts shared across languages. Finally, higher Spanish proficiency correlated well with greater overlapping elaboration across languages. These findings are discussed in light of current cognitive theory before presenting the study's limitations and future directions of research.

Using Abbreviated Injury Scale (AIS) codes to classify Computed Tomography (CT) features in the Marshall System

PubMed Central

2010-01-01

Background The purpose of Abbreviated Injury Scale (AIS) is to code various types of Traumatic Brain Injuries (TBI) based on their anatomical location and severity. The Marshall CT Classification is used to identify those subgroups of brain injured patients at higher risk of deterioration or mortality. The purpose of this study is to determine whether and how AIS coding can be translated to the Marshall Classification Methods Initially, a Marshall Class was allocated to each AIS code through cross-tabulation. This was agreed upon through several discussion meetings with experts from both fields (clinicians and AIS coders). Furthermore, in order to make this translation possible, some necessary assumptions with regards to coding and classification of mass lesions and brain swelling were essential which were all approved and made explicit. Results The proposed method involves two stages: firstly to determine all possible Marshall Classes which a given patient can attract based on allocated AIS codes; via cross-tabulation and secondly to assign one Marshall Class to each patient through an algorithm. Conclusion This method can be easily programmed in computer softwares and it would enable future important TBI research programs using trauma registry data. PMID:20691038

Gender, social class, and women's employment.

PubMed

McGinn, Kathleen L; Oh, Eunsil

2017-12-01

People in low-power positions, whether due to gender or class, tend to exhibit other-oriented rather than self-oriented behavior. Women's experiences at work and at home are shaped by social class, heightening identification with gender for relatively upper class women and identification with class for relatively lower class women, potentially mitigating, or even reversing, class-based differences documented in past research. Gender-class differences are reflected in women's employment beliefs and behaviors. Research integrating social class with gendered experiences in homes and workplaces deepens our understanding of the complex interplay between sources of power and status in society. Copyright © 2017 Elsevier Ltd. All rights reserved.

Resource Letter ALIP-1: Active-Learning Instruction in Physics

NASA Astrophysics Data System (ADS)

Meltzer, David E.; Thornton, Ronald K.

2012-06-01

This Resource Letter provides a guide to the literature on research-based active-learning instruction in physics. These are instructional methods that are based on, assessed by, and validated through research on the teaching and learning of physics. They involve students in their own learning more deeply and more intensely than does traditional instruction, particularly during class time. The instructional methods and supporting body of research reviewed here offer potential for significantly improved learning in comparison to traditional lecture-based methods of college and university physics instruction. We begin with an introduction to the history of active learning in physics in the United States, and then discuss some methods for and outcomes of assessing pedagogical effectiveness. We enumerate and describe common characteristics of successful active-learning instructional strategies in physics. We then discuss a range of methods for introducing active-learning instruction in physics and provide references to those methods for which there is published documentation of student learning gains.

A tensor analysis to evaluate the effect of high-pull headgear on Class II malocclusions.

PubMed

Ngan, P; Scheick, J; Florman, M

1993-03-01

The inaccuracies inherent in cephalometric analysis of treatment effects are well known. The objective of this article is to present a more reliable research tool in the analysis of cephalometric data. Bookstein introduced a dilation function by means of a homogeneous deformation tensor as a method of describing changes in cephalometric data. His article gave an analytic description of the deformation tensor that permits the rapid and highly accurate calculation of it on a desktop computer. The first part of this article describes the underlying ideas and mathematics. The second part uses the tensor analysis to analyze the cephalometric results of a group of patients treated with high-pull activator (HPA) to demonstrate the application of this research tool. Eight patients with Class II skeletal open bite malocclusions in the mixed dentition were treated with HPA. A control sample consisting of eight untreated children with Class II who were obtained from The Ohio State University Growth Study was used as a comparison group. Lateral cephalograms taken before and at the completion of treatment were traced, digitized, and analyzed with the conventional method and tensor analysis. The results showed that HPA had little or no effect on maxillary skeletal structures. However, reduction in growth rate was found with the skeletal triangle S-N-A, indicating a posterior tipping and torquing of the maxillary incisors. The treatment also induced additional deformation on the mandible in a downward and slightly forward direction. Together with the results from the conventional cephalometric analysis, HPA seemed to provide the vertical and rotational control of the maxilla during orthopedic Class II treatment by inhibiting the downward and forward eruptive path of the upper posterior teeth. The newly designed computer software permits rapid analysis of cephalometric data with the tensor analysis on a desktop computer. This tool may be useful in analyzing growth changes for research data.

Using What We Know: A Review of the Research on Implementing Class-Size Reduction Initiatives for State and Local Policymakers.

ERIC Educational Resources Information Center

Laine, Sabrina W. M., Ed.; Ward, James G., Ed.

This book contains a collection of essays involving new research on class-size reduction. Six chapters include: (1) "Reducing Class Size in Public Schools: Cost-Benefit Issues and Implications" (John F. Witte); (2) "Making Policy Choices: Is Class-Size Reduction the Best Alternative?" (Doug Harris and David N. Plank); (3) "Smaller Classes, Lower…

A novel unsupervised spike sorting algorithm for intracranial EEG.

PubMed

Yadav, R; Shah, A K; Loeb, J A; Swamy, M N S; Agarwal, R

2011-01-01

This paper presents a novel, unsupervised spike classification algorithm for intracranial EEG. The method combines template matching and principal component analysis (PCA) for building a dynamic patient-specific codebook without a priori knowledge of the spike waveforms. The problem of misclassification due to overlapping classes is resolved by identifying similar classes in the codebook using hierarchical clustering. Cluster quality is visually assessed by projecting inter- and intra-clusters onto a 3D plot. Intracranial EEG from 5 patients was utilized to optimize the algorithm. The resulting codebook retains 82.1% of the detected spikes in non-overlapping and disjoint clusters. Initial results suggest a definite role of this method for both rapid review and quantitation of interictal spikes that could enhance both clinical treatment and research studies on epileptic patients.

What students are saying about science: Student perspectives of meaningful, effective and ineffective learning experiences in science class

NASA Astrophysics Data System (ADS)

Brown, Thomas John

Statement of the problem. Research studies have rarely incorporated the subjective experience of students as they are engaged in learning. When the students' position is viewed at all in a research study, it is usually viewed from the perspective of the adult educators' interests and ways of seeing. As a result, the most conspicuously absent feature from the research literature is the first person voice of the student. In regards to science education specifically, few studies have focused on the students' perspective of their experience in science. Therefore, the purpose of this study was to describe and understand student perspectives of meaningful, effective, and ineffective learning experiences in science class. The following served as guiding questions: (1) What do students describe as meaningful and effective learning experiences in science class? (2) What do students describe as obstacles to their effective learning in science class? Methods. An interpretive research methodology was chosen for this study. The nine participants that took part in the study were grouped as self-directed, teacher-guided, and teacher-dependent learners. A variety of data gathering techniques were used including field notes, participant observations, interviews and focus groups. Throughout the study, inductive analysis was employed as a process for making sense out of the data. More specifically, the constant comparative method was used to categorize the data and facilitate the search for meaningful patterns. The analysis included a thick description of the students' experience of science in the first person voice of the student. The results of this study indicate that teachers play the fundamental role in the establishment of an effective learning environment and that students' consider their improved understanding to be a key to their meaningful learning. In addition, the students' improved understanding requires that teachers are actively involved in their progress and are willing to explain concepts on an ongoing basis. The study concludes by asserting that effective teachers must accommodate the needs of both self-directed and instructor-centered learners. Finally, it is argued that student feedback can be used to improve classroom effectiveness.

A statistical evaluation of the effects of gender differences in assessment of acute inhalation toxicity

PubMed Central

Price, Charlotte; Stallard, Nigel; Creton, Stuart; Indans, Ian; Guest, Robert; Griffiths, David; Edwards, Philippa

2010-01-01

Acute inhalation toxicity of chemicals has conventionally been assessed by the median lethal concentration (LC50) test (organisation for economic co-operation and development (OECD) TG 403). Two new methods, the recently adopted acute toxic class method (ATC; OECD TG 436) and a proposed fixed concentration procedure (FCP), have recently been considered, but statistical evaluations of these methods did not investigate the influence of differential sensitivity between male and female rats on the outcomes. This paper presents an analysis of data from the assessment of acute inhalation toxicity for 56 substances. Statistically significant differences between the LC50 for males and females were found for 16 substances, with greater than 10-fold differences in the LC50 for two substances. The paper also reports a statistical evaluation of the three test methods in the presence of unanticipated gender differences. With TG 403, a gender difference leads to a slightly greater chance of under-classification. This is also the case for the ATC method, but more pronounced than for TG 403, with misclassification of nearly all substances from Globally Harmonised System (GHS) class 3 into class 4. As the FCP uses females only, if females are more sensitive, the classification is unchanged. If males are more sensitive, the procedure may lead to under-classification. Additional research on modification of the FCP is thus proposed. PMID:20488841

An Effective News Recommendation Method for Microblog User

PubMed Central

Gu, Wanrong; Dong, Shoubin; Zeng, Zhizhao; He, Jinchao

2014-01-01

Recommending news stories to users, based on their preferences, has long been a favourite domain for recommender systems research. Traditional systems strive to satisfy their user by tracing users' reading history and choosing the proper candidate news articles to recommend. However, most of news websites hardly require any user to register before reading news. Besides, the latent relations between news and microblog, the popularity of particular news, and the news organization are not addressed or solved efficiently in previous approaches. In order to solve these issues, we propose an effective personalized news recommendation method based on microblog user profile building and sub class popularity prediction, in which we propose a news organization method using hybrid classification and clustering, implement a sub class popularity prediction method, and construct user profile according to our actual situation. We had designed several experiments compared to the state-of-the-art approaches on a real world dataset, and the experimental results demonstrate that our system significantly improves the accuracy and diversity in mass text data. PMID:24983011

Self-tuning regulators for multicyclic control of helicopter vibration

NASA Technical Reports Server (NTRS)

Johnson, W.

1982-01-01

A class of algorithms for the multicyclic control of helicopter vibration and loads is derived and discussed. This class is characterized by a linear, quasi-static, frequency-domain model of the helicopter response to control; identification of the helicopter model by least-squared-error or Kalman filter methods; and a minimum variance or quadratic performance function controller. Previous research on such controllers is reviewed. The derivations and discussions cover the helicopter model; the identification problem, including both off-line and on-line (recursive) algorithms; the control problem, including both open-loop and closed-loop feedback; and the various regulator configurations possible within this class. Conclusions from analysis and numerical simulations of the regulators provide guidance in the design and selection of algorithms for further development, including wind tunnel and flight tests.

The Uniform Convergence of Eigenfunction Expansions of Schrödinger Operator in the Nikolskii Classes {H}_{p}^{\\alpha }(\\bar{\\Omega })

NASA Astrophysics Data System (ADS)

Jamaludin, N. A.; Ahmedov, A.

2017-09-01

Many boundary value problems in the theory of partial differential equations can be solved by separation methods of partial differential equations. When Schrödinger operator is considered then the influence of the singularity of potential on the solution of the partial differential equation is interest of researchers. In this paper the problems of the uniform convergence of the eigenfunction expansions of the functions from corresponding to the Schrödinger operator with the potential from classes of Sobolev are investigated. The spectral function corresponding to the Schrödinger operator is estimated in closed domain. The isomorphism of the Nikolskii classes is applied to prove uniform convergence of eigenfunction expansions of Schrödinger operator in closed domain.

The High School Physics Curriculum and the University of North Dakota Observatory

NASA Astrophysics Data System (ADS)

Nolby, C.; Hardersen, P.

2013-04-01

As astronomy is a subject largely absent in the secondary classroom for many reasons, the research presented here attempts to make astronomy education an option for high school students across the state of North Dakota. Through implementation of a two-week astronomy course at Grand Forks Central High School (GFCHS), two class periods totaling nineteen physics students (fourteen in the first class period and five in the second class period) were given the opportunity to learn material that would have otherwise been unavailable to them. Four of these students were female and fifteen of these students were male. During ten class periods from April 16, 2012 through April 27, 2012, instruction included presentation of basic astronomy concepts and observational techniques as well as student participation in demonstrations and activities regarding the course content. Students were given the option to visit the University of North Dakota (UND) Observatory the evening of April 20, 2012 for a public “star party” where they received a tour of the university's telescopes and other research equipment. During class time on April 25, 2012, students took a field trip to the John D. Odegard School of Aerospace Sciences to tour both Aviation and Space Studies facilities at UND. The lesson plan for the course also included a group project utilizing the telescopes at the UND Observatory for remote observing to complete research on the astrometry of an asteroid. Students were given a pre-test at the start of the two-week course, daily exit surveys at the end of each class period, and a post-test at the end of the two-week course. These assessments were used to evaluate student enjoyment, progress, and overall perception of the astronomy course. This research identified common misconceptions in astronomy held by the learners as well as the most effective teaching methods. It was found that this course was overall successful in promoting the students' learning of astronomy in a short time period. This analysis has been used to make improvements in future installments of the course and it is now available to educators across the state of North Dakota for implementation in the classroom.

Researching the Internet in a Writing Class: A Writing Teacher's Role and a Computer Specialist's Role.

ERIC Educational Resources Information Center

Anstendig, Linda; Meyer, Jeanine

An Internet research project was undertaken by a class of college honors students to see how effectively the Internet could be used for genuine research purposes. The class consisted of 16 students, a mix of freshmen, sophomores, and juniors, enrolled in an advanced writing course whose focus was different forms of research: I-Search, ethnography,…

An Exploration of Computer Game-Based Instruction in the “World History” Class in Secondary Education: A Comparative Study in China

PubMed Central

Yu, Zhonggen; Yu, Wei Hua; Fan, Xiaohui; Wang, Xiao

2014-01-01

So far, many studies on educational games have been carried out in America and Europe. Very few related empirical studies, however, have been conducted in China. This study, combining both quantitative with qualitative research methods, possibly compensated for this regret. The study compared data collected from two randomly selected classes (out of 13 classes) under computer game-based instruction (CGBI) and non-computer game-based instruction (NCGBI), respectively, in a senior high school located in Nanjing, Capital of Jiangsu Province, in China. The participants were 103 students, composed of 52 boys and 51 girls (aged 17-18 years old). The following conclusion was reached: (1) participants under CGBI obtained significantly greater learning achievement than those under NCGBI; (2) participants were significantly more motivated by CGBI compared with NCGBI; (3) there were no significant differences in learning achievement between boys and girls; although (4) boys were significantly more motivated by CGBI than girls. Both disadvantages and advantages were discussed, together with directions for future research. PMID:24816635

An exploration of computer game-based instruction in the "world history" class in secondary education: a comparative study in China.

PubMed

Yu, Zhonggen; Yu, Wei Hua; Fan, Xiaohui; Wang, Xiao

2014-01-01

So far, many studies on educational games have been carried out in America and Europe. Very few related empirical studies, however, have been conducted in China. This study, combining both quantitative with qualitative research methods, possibly compensated for this regret. The study compared data collected from two randomly selected classes (out of 13 classes) under computer game-based instruction (CGBI) and non-computer game-based instruction (NCGBI), respectively, in a senior high school located in Nanjing, Capital of Jiangsu Province, in China. The participants were 103 students, composed of 52 boys and 51 girls (aged 17-18 years old). The following conclusion was reached: (1) participants under CGBI obtained significantly greater learning achievement than those under NCGBI; (2) participants were significantly more motivated by CGBI compared with NCGBI; (3) there were no significant differences in learning achievement between boys and girls; although (4) boys were significantly more motivated by CGBI than girls. Both disadvantages and advantages were discussed, together with directions for future research.

[Exploration and practice of research-based teaching in the course of theory of Meridians and Acupoints for acupuncture and tuina specialty].

PubMed

Liu, Mai-Lan; Yuan, Yi-Qin; Chang, Xiao-Rong; Luo, Jian; Liu, Mi

2014-08-01

For the purpose of exploring the teaching reform model and method, also promoting the quality of talents in acupuncture and tuina field, the research-based teaching model is applied into the course of Theory of Meridians and Acupoints. This method includes two parts of teaching and learning. For teachers, they bring modern research focus and trend into teaching through questionnaire survey among students, aiming to integrate the education inside and outside class. For students, they are guided to resolve the opening, enlightening and scalable issues through consulting abundant resources of literature and database to achieve autonomous participation in the course of learning. By this teaching method, it is expected to train the student's ability of expanding their thinking, as well as discovering, analyzing and solving the problem.

Inferring ontology graph structures using OWL reasoning.

PubMed

Rodríguez-García, Miguel Ángel; Hoehndorf, Robert

2018-01-05

Ontologies are representations of a conceptualization of a domain. Traditionally, ontologies in biology were represented as directed acyclic graphs (DAG) which represent the backbone taxonomy and additional relations between classes. These graphs are widely exploited for data analysis in the form of ontology enrichment or computation of semantic similarity. More recently, ontologies are developed in a formal language such as the Web Ontology Language (OWL) and consist of a set of axioms through which classes are defined or constrained. While the taxonomy of an ontology can be inferred directly from the axioms of an ontology as one of the standard OWL reasoning tasks, creating general graph structures from OWL ontologies that exploit the ontologies' semantic content remains a challenge. We developed a method to transform ontologies into graphs using an automated reasoner while taking into account all relations between classes. Searching for (existential) patterns in the deductive closure of ontologies, we can identify relations between classes that are implied but not asserted and generate graph structures that encode for a large part of the ontologies' semantic content. We demonstrate the advantages of our method by applying it to inference of protein-protein interactions through semantic similarity over the Gene Ontology and demonstrate that performance is increased when graph structures are inferred using deductive inference according to our method. Our software and experiment results are available at http://github.com/bio-ontology-research-group/Onto2Graph . Onto2Graph is a method to generate graph structures from OWL ontologies using automated reasoning. The resulting graphs can be used for improved ontology visualization and ontology-based data analysis.

Generating Researcher Networks with Identified Persons on a Semantic Service Platform

NASA Astrophysics Data System (ADS)

Jung, Hanmin; Lee, Mikyoung; Kim, Pyung; Lee, Seungwoo

This paper describes a Semantic Web-based method to acquire researcher networks by means of identification scheme, ontology, and reasoning. Three steps are required to realize it; resolving co-references, finding experts, and generating researcher networks. We adopt OntoFrame as an underlying semantic service platform and apply reasoning to make direct relations between far-off classes in ontology schema. 453,124 Elsevier journal articles with metadata and full-text documents in information technology and biomedical domains have been loaded and served on the platform as a test set.

Description of a teaching method for research education for palliative care healthcare professionals.

PubMed

Rhondali, Wadih; Nguyen, Linh My Thi; Peck, Michelle; Vallet, Fabienne; Daneault, Serge; Filbet, Marilene

2015-04-01

Despite the rapidly growing availability of palliative care services, there is still much to be done in order to better support clinicians who are starting research programs. Among the barriers identified in the literature, methodological issues and lack of research training programs are often reported. Our aim was to describe an educational research method for healthcare professionals working in palliative care and to report the result of a survey conducted among a three-year sample of students. The course was provided for a multidisciplinary group and was open to all healthcare professionals involved in palliative care. It took place over a single session during a full day. We used a 20-question e-survey to assess student outcomes (e.g., satisfaction, current status of their project). We received answers from 83 of the 119 students (70%) who took the course. The majority were physicians (n = 62, 75%), followed by nurses (n = 17, 21%). During the class, students assessed the role of the teacher as an information provider (n = 51, 61%), role model (n = 36, 43%), and facilitator (n = 33, 40%), and considered all of these roles as suitable, with a score of 3.9-4.7 out of 5. Participants reported a high level of support from the teacher, with a mean score of 8.2 (SD, 1.7) out of 10, and good overall satisfaction with a mean score of 7.6 (1.8). Finally, 51 participants (77%) were able to start their research project after the class, 27 (41%) to complete it, and 8 (12%) to submit their research to a journal or conference. Our results suggest that newer teaching methods such as roleplay, group work, and target acquisition are feasible and effective in a palliative research curriculum. Additional studies are needed to confirm the objective outputs of educational interventions, including research outputs.

Obsessive–compulsive disorder: subclassification based on co-morbidity

PubMed Central

Nestadt, G.; Di, C. Z.; Riddle, M. A.; Grados, M. A.; Greenberg, B. D.; Fyer, A. J.; McCracken, J. T.; Rauch, S. L.; Murphy, D. L.; Rasmussen, S. A.; Cullen, B.; Pinto, A.; Knowles, J. A.; Piacentini, J.; Pauls, D. L.; Bienvenu, O. J.; Wang, Y.; Liang, K. Y.; Samuels, J. F.; Roche, K. Bandeen

2011-01-01

Background Obsessive–compulsive disorder (OCD) is probably an etiologically heterogeneous condition. Many patients manifest other psychiatric syndromes. This study investigated the relationship between OCD and co-morbid conditions to identify subtypes. Method Seven hundred and six individuals with OCD were assessed in the OCD Collaborative Genetics Study (OCGS). Multi-level latent class analysis was conducted based on the presence of eight co-morbid psychiatric conditions [generalized anxiety disorder (GAD), major depression, panic disorder (PD), separation anxiety disorder (SAD), tics, mania, somatization disorders (Som) and grooming disorders (GrD)]. The relationship of the derived classes to specific clinical characteristics was investigated. Results Two and three classes of OCD syndromes emerge from the analyses. The two-class solution describes lesser and greater co-morbidity classes and the more descriptive three-class solution is characterized by: (1) an OCD simplex class, in which major depressive disorder (MDD) is the most frequent additional disorder; (2) an OCD co-morbid tic-related class, in which tics are prominent and affective syndromes are considerably rarer; and (3) an OCD co-morbid affective-related class in which PD and affective syndromes are highly represented. The OCD co-morbid tic-related class is predominantly male and characterized by high conscientiousness. The OCD co-morbid affective-related class is predominantly female, has a young age at onset, obsessive–compulsive personality disorder (OCPD) features, high scores on the ‘taboo’ factor of OCD symptoms, and low conscientiousness. Conclusions OCD can be classified into three classes based on co-morbidity. Membership within a class is differentially associated with other clinical characteristics. These classes, if replicated, should have important implications for research and clinical endeavors. PMID:19046474

Teaching internet use to adult learners: The LANL experience

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

Smith, S.; Comstock, D.

The Research library at Los Alamos National Laboratory has been teaching an Internet class to adult learners since May 1994. The class is a team effort, combining lecture/demo with hands-on practice using Gopher and the World Wide Web. What started out as a small short-term project has become a weekly class available to any Lab employee or associate. More than 250 people have been taught to find basic reference materials and to navigate the Internet on the Gopher and World Wide Web. The class is one of the first classes offered by the Research Library to be filled every month,more » and one Laboratory group has recommended that their staff attend this class in preparation for more advanced Internet and HTML classes as part of their group training. The success of this class spurred development by the Research Library of more specific subject classes using Internet resources, specifically business and general science resources.« less

Latent trajectory studies: the basics, how to interpret the results, and what to report.

PubMed

van de Schoot, Rens

2015-01-01

In statistics, tools have been developed to estimate individual change over time. Also, the existence of latent trajectories, where individuals are captured by trajectories that are unobserved (latent), can be evaluated (Muthén & Muthén, 2000). The method used to evaluate such trajectories is called Latent Growth Mixture Modeling (LGMM) or Latent Class Growth Modeling (LCGA). The difference between the two models is whether variance within latent classes is allowed for (Jung & Wickrama, 2008). The default approach most often used when estimating such models begins with estimating a single cluster model, where only a single underlying group is presumed. Next, several additional models are estimated with an increasing number of clusters (latent groups or classes). For each of these models, the software is allowed to estimate all parameters without any restrictions. A final model is chosen based on model comparison tools, for example, using the BIC, the bootstrapped chi-square test, or the Lo-Mendell-Rubin test. To ease the use of LGMM/LCGA step by step in this symposium (Van de Schoot, 2015) guidelines are presented which can be used for researchers applying the methods to longitudinal data, for example, the development of posttraumatic stress disorder (PTSD) after trauma (Depaoli, van de Schoot, van Loey, & Sijbrandij, 2015; Galatzer-Levy, 2015). The guidelines include how to use the software Mplus (Muthén & Muthén, 1998-2012) to run the set of models needed to answer the research question: how many latent classes exist in the data? The next step described in the guidelines is how to add covariates/predictors to predict class membership using the three-step approach (Vermunt, 2010). Lastly, it described what essentials to report in the paper. When applying LGMM/LCGA models for the first time, the guidelines presented can be used to guide what models to run and what to report.

Science Teacher Candidates' Learning and Studying Strategies in the Context of Self-Regulation

ERIC Educational Resources Information Center

Yilmaz, Özkan

2017-01-01

This study investigated the students' individual study and learning strategies. Toward this purpose, open ended question form was administered to 40 university students who have enrolled department of mathematics and science education, faculty of education. Students were selected randomly in all level of class. Qualitative research method was used…

Research Note-Testing for Gerontological Competencies: A Pilot Study

ERIC Educational Resources Information Center

Galambos, Colleen; Curl, Angela L.; Woodbury, Karen

2014-01-01

This article reports on the pilot delivery of an evaluation method to gauge student learning of gerontological competencies. Using a pretest and posttest design, data were collected on 46 students over 3 classes. Results indicated significant improvement in how students rated or perceived their competencies skill level between pretest and posttest…

English and the Learning-Disabled Student: A Survey of Research.

ERIC Educational Resources Information Center

Siegel, Gerald

The author reviews literature on teaching the learning disabled (LD) in college English classrooms. He notes work by V. Davis which suggests the following methods and techniques: (1) reinforce coping techniques the students have already developed; (2) provide help with reading tasks through summaries of vocabulary; (3) allow taping of classes (to…

Inquiry-Based Instruction for Students with Special Needs in School Based Agricultural Education

ERIC Educational Resources Information Center

Easterly, R. G., III; Myers, Brian E.

2011-01-01

Educating students with special needs in school based agricultural education (SBAE) is a problem that should be addressed. While many students in SBAE classes have special needs, contradicting research exists establishing the best method of instruction for students with special needs. Inquiry-based instruction shows some promise, but little is…

The Selection of Friends by Preschool Children

ERIC Educational Resources Information Center

Romero, Sandy; Perez, Karla; Pasnak, Robert; Lehman, Elyse

2009-01-01

The friendships of 59 ethnically diverse (African American, European American, Latino, Middle Eastern, and West African) children enrolled in Head Start classes were assessed in the spring of the school year via a peer nomination technique and a roster rating method. Two types of behavior that earlier researchers found to be predictive of how well…

Interpreting Children's Constructions of Their Ethnicity

ERIC Educational Resources Information Center

Grace, Donna J.

2008-01-01

Drawing upon post-structural and post-colonial theories, this study is an investigation into the ways in which five classes of first-grade children (six and seven year olds) in Florida and Hawaii talked about their ethnicities in a video pen pal project. The qualitative methods utilized in this research were participant observation, interviews,…

An Empirical Consideration of a Balanced Amalgamation of Learning Strategies in Graduate Introductory Statistics Classes

ERIC Educational Resources Information Center

Vaughn, Brandon K.

2009-01-01

This study considers the effectiveness of a "balanced amalgamated" approach to teaching graduate level introductory statistics. Although some research stresses replacing traditional lectures with more active learning methods, the approach of this study is to combine effective lecturing with active learning and team projects. The results of this…

Writing Professor as Adult Learner: An Autoethnography of Online Professional Development

ERIC Educational Resources Information Center

Henning, Teresa Beth

2012-01-01

This paper is a study of the author's experiences taking a six-week, asynchronous, online, faculty development class for educators at the secondary and postsecondary levels. Using autoethnography methods, the author details her learning and the ways her experiences support adult learning theories. Implications of this research suggest that adult…

Accountability Groups to Enhance Language Learning in a University Intensive English Program

ERIC Educational Resources Information Center

Lippincott, Dianna

2017-01-01

This mixed methods classroom research examined if accountability groups in the lower proficiency levels of a university intensive English program would improve students' language acquisition. Students were assigned partners for the study period with whom they completed assignments inside and outside of class, as well as set goals for use of…

Academic Achievements and Satisfaction of the Clicker-Aided Flipped Business English Writing Class

ERIC Educational Resources Information Center

Zhonggen, Yu; Guifang, Wang

2016-01-01

The flipped classroom has been achieving a great success in teaching innovation. This study, aiming to determine the effectiveness of the flipped model in business English writing course, combined the quantitative with the qualitative research methods. Participants were randomly selected from undergraduate students majoring in business English.…

Developing Turkish Preservice Preschool Teachers' Attitudes and Understanding about Teaching Science through Play

ERIC Educational Resources Information Center

Bulunuz, Mizrap

2012-01-01

This research studied the development of preservice teachers' understandings and attitudes about teaching science through playful experiences. Subjects were 94 senior preservice teachers in two sections of a science methods class on teaching preschool children. Data sources were semi-structured interviews and open-ended questionnaire at the…

The Land Is Like a Book.

ERIC Educational Resources Information Center

Andrews, Tom

2002-01-01

A 10-day summer science camp for high school students at an ecological research station in the Canadian tundra combines outdoor education and science education. Experiences with Dene elders led staff to implement their traditional teaching methods using the landscape as teacher. All classes are held outside, and a Dene couple complements the staff…

Exit Cards: Creating a Dialogue for Continuous Evaluation

ERIC Educational Resources Information Center

Patka, Mazna; Wallin-Ruschman, Jennifer; Wallace, Tenille; Robbins, Candice

2016-01-01

This study explored the use of Exit Cards, which are formative evaluations of student knowledge and instruction undertaken at every class meeting. Its results are based on Exit Card data from two undergraduate research methods courses. Thematic analysis indicated that students used Exit Cards to communicate (1) what they learned, (2) challenges…

Teachers as Researchers

ERIC Educational Resources Information Center

Klippel, Friederike

2017-01-01

A dedicated teacher, keen to try out new methods of teaching English and French and different ways of getting learners to talk. The teacher knows it is important to motivate the learners by bringing the real world and the target culture into the classroom and uses authentic newspaper articles on current events and takes the class out of the…

Determining Science Student Teachers' Cognitive Structure on the Concept of "Food Chain"

ERIC Educational Resources Information Center

Çinar, Derya

2015-01-01

The current study aims to determine science student teachers' cognitive structure on the concept of food chain. Qualitative research method was applied in this study. Fallacies detected in the pre-service teachers' conceptual structures are believed to result in students' developing misconceptions in their future classes and will adversely affect…

Investigating Approaches to Estimating Covariate Effects in Growth Mixture Modeling: A Simulation Study

ERIC Educational Resources Information Center

Li, Ming; Harring, Jeffrey R.

2017-01-01

Researchers continue to be interested in efficient, accurate methods of estimating coefficients of covariates in mixture modeling. Including covariates related to the latent class analysis not only may improve the ability of the mixture model to clearly differentiate between subjects but also makes interpretation of latent group membership more…

Team Conflict in ICT-Rich Environments: Roles of Technologies in Conflict Management

ERIC Educational Resources Information Center

Correia, Ana-Paula

2008-01-01

This study looks at how an information and communication technologies (ICT)-rich environment impacts team conflict and conflict management strategies. A case study research method was used. Three teams, part of a graduate class in instructional design, participated in the study. Data were collected through observations of team meetings, interviews…

Science Student Teachers' Cognitive Structure on the Concept of "Food Pyramid"

ERIC Educational Resources Information Center

Çinar, Derya

2016-01-01

The current study aims to determine science student teachers' cognitive structure on the concept of food pyramid. Qualitative research method was applied in this study. Fallacies detected in the pre-service teachers' conceptual structures are believed to result in students' developing misconceptions in their future classes and will adversely…

The Effect of Appreciative Inquiry on Student Engagement and Attendance in the Community College

ERIC Educational Resources Information Center

Robbins, Frances Virginia Turner

2012-01-01

This mixed-methods research study investigated the effects of Appreciative Inquiry on student-course engagement and attendance in core academic classes at a community college in central Mississippi. In an increasingly competitive global economy, most individuals need education or technical skills beyond high school to secure employment offering…

The Efficacy of Collaborative Strategic Reading in Middle School Science and Social Studies Classes

ERIC Educational Resources Information Center

Boardman, Alison G.; Klingner, Janette K.; Buckley, Pamela; Annamma, Subini; Lasser, Cristin J.

2015-01-01

This study investigated the efficacy of a multi-component reading comprehension instructional approach, Collaborative Strategic Reading (CSR), compared to business-as-usual instructional methods with 19 teachers and 1074 students in middle school social studies and science classrooms in a large urban district. Researchers collaborated with school…

Bio-Organic Reaction Animations (BioORA): Student Performance, Student Perceptions, and Instructor Feedback

ERIC Educational Resources Information Center

Gunersel, Adalet Baris; Fleming, Steven

2014-01-01

Research shows that computer animations are especially helpful in fields such as chemistry and in this mixed-methods study, we investigate the educational effectiveness of Bio-Organic Reaction Animations (BioORA), a 3-D software, in four undergraduate biochemistry classes at different universities. Statistically significant findings indicate that…

A Standardized Mean Difference Effect Size for Multiple Baseline Designs across Individuals

ERIC Educational Resources Information Center

Hedges, Larry V.; Pustejovsky, James E.; Shadish, William R.

2013-01-01

Single-case designs are a class of research methods for evaluating treatment effects by measuring outcomes repeatedly over time while systematically introducing different condition (e.g., treatment and control) to the same individual. The designs are used across fields such as behavior analysis, clinical psychology, special education, and…

Consumerism, Activism, Intrinsic Motivation, and Balance: An Interview with Tim Kasser

ERIC Educational Resources Information Center

Keeley, Jared

2010-01-01

A year after receiving his PhD in psychology from the University of Rochester, Tim Kasser accepted a position at Knox College, in Galesburg, Illinois, where he is currently professor of psychology. He regularly teaches psychology classes on personality, clinical and abnormal psychology, dreaming, and research methods, as well as an…

Implementation of the Moodle System into EFL Classes

ERIC Educational Resources Information Center

Gunduz, Nuket; Ozcan, Deniz

2017-01-01

This study aims to examine students' perception on using the Moodle system in secondary school in English as a foreign language lessons. A mixed method approach was used in this study with qualitative and quantitative research models. The study group consisted of 333 students and 12 English language teachers. The quantitative data were collected…

Teaching Technoliteracy: Assignments Requiring Microcomputer Applications in Oral Communication Courses.

ERIC Educational Resources Information Center

Reppert, James E.

This paper outlines methods for students in an introductory speech course at Southern Arkansas University to use microcomputers as essential research tools in class assignments. The outline is divided into seven projects, each with two objectives and a list of activities and procedures: (1) speech of introduction; (2) impromptu speech; (3)…

Teaching Improvement Model Designed with DEA Method and Management Matrix

ERIC Educational Resources Information Center

Montoneri, Bernard

2014-01-01

This study uses student evaluation of teachers to design a teaching improvement matrix based on teaching efficiency and performance by combining management matrix and data envelopment analysis. This matrix is designed to formulate suggestions to improve teaching. The research sample consists of 42 classes of freshmen following a course of English…

Italian for Business and Communication: Research Methodology and Creation of a Syllabus.

ERIC Educational Resources Information Center

Iandoli, Louis J.

1993-01-01

The evolution and design of a third-year college course in business Italian are described. Course content includes business correspondence, banking, wholesale and retail transactions. Teaching methods and class activities are also discussed. These include use of realia, small group activities, and letter and report writing. (Author/MSE)

Exploring AI Language Assistants with Primary EFL Students

ERIC Educational Resources Information Center

Underwood, Joshua

2017-01-01

The main objective of this study was to identify ways to incorporate voice-driven Artificial Intelligence (AI) effectively in classroom language learning. This nine month teacher-led design research study employed technology probes (Amazon's Alexa, Apple's Siri, Google voice search) and co-design methods with a class of primary age English as a…

Implementation of Evidence-Based Adolescent Literacy Practices by Select Secondary Teachers

ERIC Educational Resources Information Center

Mergele, Catherine E.

2013-01-01

The purpose of this mixed methods research study was to investigate how evidence-based adolescent literacy practices are implemented by secondary teachers in the classroom or what the reasons might be for these practices not being implemented. Three secondary English teachers of three different types of classes, comprising Intensive, Project-based…

Japanese Physical Educators' Beliefs on Teaching Students with Disabilities at Urban High Schools

ERIC Educational Resources Information Center

Sato, Takahiro; Hodge, Samuel R.

2009-01-01

The purpose of this study was to analyse Japanese physical education teachers' beliefs on teaching students with disabilities in integrated classes. The participants were five physical education teachers in Japan. Situated in planned behaviour theory developed by Icek Ajzen in 1985, the research method was descriptive-qualitative case study as…

Natural image classification driven by human brain activity

NASA Astrophysics Data System (ADS)

Zhang, Dai; Peng, Hanyang; Wang, Jinqiao; Tang, Ming; Xue, Rong; Zuo, Zhentao

2016-03-01

Natural image classification has been a hot topic in computer vision and pattern recognition research field. Since the performance of an image classification system can be improved by feature selection, many image feature selection methods have been developed. However, the existing supervised feature selection methods are typically driven by the class label information that are identical for different samples from the same class, ignoring with-in class image variability and therefore degrading the feature selection performance. In this study, we propose a novel feature selection method, driven by human brain activity signals collected using fMRI technique when human subjects were viewing natural images of different categories. The fMRI signals associated with subjects viewing different images encode the human perception of natural images, and therefore may capture image variability within- and cross- categories. We then select image features with the guidance of fMRI signals from brain regions with active response to image viewing. Particularly, bag of words features based on GIST descriptor are extracted from natural images for classification, and a sparse regression base feature selection method is adapted to select image features that can best predict fMRI signals. Finally, a classification model is built on the select image features to classify images without fMRI signals. The validation experiments for classifying images from 4 categories of two subjects have demonstrated that our method could achieve much better classification performance than the classifiers built on image feature selected by traditional feature selection methods.

Research on Abnormal Detection Based on Improved Combination of K - means and SVDD

NASA Astrophysics Data System (ADS)

Hao, Xiaohong; Zhang, Xiaofeng

2018-01-01

In order to improve the efficiency of network intrusion detection and reduce the false alarm rate, this paper proposes an anomaly detection algorithm based on improved K-means and SVDD. The algorithm first uses the improved K-means algorithm to cluster the training samples of each class, so that each class is independent and compact in class; Then, according to the training samples, the SVDD algorithm is used to construct the minimum superspheres. The subordinate relationship of the samples is determined by calculating the distance of the minimum superspheres constructed by SVDD. If the test sample is less than the center of the hypersphere, the test sample belongs to this class, otherwise it does not belong to this class, after several comparisons, the final test of the effective detection of the test sample.In this paper, we use KDD CUP99 data set to simulate the proposed anomaly detection algorithm. The results show that the algorithm has high detection rate and low false alarm rate, which is an effective network security protection method.

Factors that affect the physical science career interest of female students: Testing five common hypotheses

NASA Astrophysics Data System (ADS)

Hazari, Zahra; Potvin, Geoff; Lock, Robynne M.; Lung, Florin; Sonnert, Gerhard; Sadler, Philip M.

2013-12-01

There are many hypotheses regarding factors that may encourage female students to pursue careers in the physical sciences. Using multivariate matching methods on national data drawn from the Persistence Research in Science and Engineering (PRiSE) project (n=7505), we test the following five commonly held beliefs regarding what factors might impact females’ physical science career interest: (i) having a single-sex physics class, (ii) having a female physics teacher, (iii) having female scientist guest speakers in physics class, (iv) discussing the work of female scientists in physics class, and (v) discussing the underrepresentation of women in physics class. The effect of these experiences on physical science career interest is compared for female students who are matched on several factors, including prior science interests, prior mathematics interests, grades in science, grades in mathematics, and years of enrollment in high school physics. No significant effects are found for single-sex classes, female teachers, female scientist guest speakers, and discussing the work of female scientists. However, discussions about women’s underrepresentation have a significant positive effect.

Prediction/discussion-based learning cycle versus conceptual change text: comparative effects on students' understanding of genetics

NASA Astrophysics Data System (ADS)

khawaldeh, Salem A. Al

2013-07-01

Background and purpose: The purpose of this study was to investigate the comparative effects of a prediction/discussion-based learning cycle (HPD-LC), conceptual change text (CCT) and traditional instruction on 10th grade students' understanding of genetics concepts. Sample: Participants were 112 10th basic grade male students in three classes of the same school located in an urban area. The three classes taught by the same biology teacher were randomly assigned as a prediction/discussion-based learning cycle class (n = 39), conceptual change text class (n = 37) and traditional class (n = 36). Design and method: A quasi-experimental research design of pre-test-post-test non-equivalent control group was adopted. Participants completed the Genetics Concept Test as pre-test-post-test, to examine the effects of instructional strategies on their genetics understanding. Pre-test scores and Test of Logical Thinking scores were used as covariates. Results: The analysis of covariance showed a statistically significant difference between the experimental and control groups in the favor of experimental groups after treatment. However, no statistically significant difference between the experimental groups (HPD-LC versus CCT instruction) was found. Conclusions: Overall, the findings of this study support the use of the prediction/discussion-based learning cycle and conceptual change text in both research and teaching. The findings may be useful for improving classroom practices in teaching science concepts and for the development of suitable materials promoting students' understanding of science.

Class Size and Student Performance at a Public Research University: A Cross-Classified Model

ERIC Educational Resources Information Center

Johnson, Iryna Y.

2010-01-01

This study addresses several methodological problems that have confronted prior research on the effect of class size on student achievement. Unlike previous studies, this analysis accounts for the hierarchical data structure of student achievement, where grades are nested within classes and students, and considers a wide range of class sizes…

The Role of Attendance in Lecture Classes: You Can Lead a Horse to Water...

ERIC Educational Resources Information Center

Golding, Jonathan M.

2011-01-01

A review of prior research on the role of attendance policies in large lecture classes (including psychology) is presented. This research showed that although students often did not attend class, various policies were effective in getting students to the classroom. Moreover, some research showed that an attendance policy did not lower instructor…

10 CFR 50.21 - Class 104 licenses; for medical therapy and research and development facilities.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 10 Energy 1 2010-01-01 2010-01-01 false Class 104 licenses; for medical therapy and research and...; for medical therapy and research and development facilities. A class 104 license will be issued, to an... Administration entered into under the Cooperative Power Reactor Demonstration Program, except as otherwise...

The use of computer simulations in whole-class versus small-group settings

NASA Astrophysics Data System (ADS)

Smetana, Lara Kathleen

This study explored the use of computer simulations in a whole-class as compared to small-group setting. Specific consideration was given to the nature and impact of classroom conversations and interactions when computer simulations were incorporated into a high school chemistry course. This investigation fills a need for qualitative research that focuses on the social dimensions of actual classrooms. Participants included a novice chemistry teacher experienced in the use of educational technologies and two honors chemistry classes. The study was conducted in a rural school in the south-Atlantic United States at the end of the fall 2007 semester. The study took place during one instructional unit on atomic structure. Data collection allowed for triangulation of evidence from a variety of sources approximately 24 hours of video- and audio-taped classroom observations, supplemented with the researcher's field notes and analytic journal; miscellaneous classroom artifacts such as class notes, worksheets, and assignments; open-ended pre- and post-assessments; student exit interviews; teacher entrance, exit and informal interviews. Four web-based simulations were used, three of which were from the ExploreLearning collection. Assessments were analyzed using descriptive statistics and classroom observations, artifacts and interviews were analyzed using Erickson's (1986) guidelines for analytic induction. Conversational analysis was guided by methods outlined by Erickson (1982). Findings indicated (a) the teacher effectively incorporated simulations in both settings (b) students in both groups significantly improved their understanding of the chemistry concepts (c) there was no statistically significant difference between groups' achievement (d) there was more frequent exploratory talk in the whole-class group (e) there were more frequent and meaningful teacher-student interactions in the whole-class group (f) additional learning experiences not measured on the assessment resulted from conversations and interactions in the whole-class setting (g) the potential benefits of exploratory talk in the whole-class setting were not fully realized. These findings suggest that both whole-class and small-group settings are appropriate for using computer simulations in science. The effective incorporation of simulations into whole-class instruction may provide a solution to the dilemma of technology penetration versus integration in today's classrooms.

Theme network in thematic learning in elementary school

NASA Astrophysics Data System (ADS)

Ain, N.; Rahutami, R.

2018-05-01

This research aimed at developing a network of a theme in the textbook. The method used is evaluation and development method. The source of this research data is textbook of class IV with the theme of “Care for Living Creatures” and sub-theme "Lets Love Our Environment”. The results show that there is a discrepancy between basic competence and sub-themes. Such disagreement is due to an inadequacy of basic competencies with sub-themes, and the choice of basic competencies of less appropriate to sub-themes. The results of this study can be used to developing theme network on other sub-themes as well as on other levels.

Sandia Higher Order Elements (SHOE) v 0.5 alpha

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

2013-09-24

SHOE is research code for characterizing and visualizing higher-order finite elements; it contains a framework for defining classes of interpolation techniques and element shapes; methods for interpolating triangular, quadrilateral, tetrahedral, and hexahedral cells using Lagrange and Legendre polynomial bases of arbitrary order; methods to decompose each element into domains of constant gradient flow (using a polynomial solver to identify critical points); and an isocontouring technique that uses this decomposition to guarantee topological correctness. Please note that this is an alpha release of research software and that some time has passed since it was actively developed; build- and run-time issues likelymore » exist.« less

A knowledge engineering taxonomy for intelligent tutoring system development

NASA Technical Reports Server (NTRS)

Fink, Pamela K.; Herren, L. Tandy

1993-01-01

This paper describes a study addressing the issue of developing an appropriate mapping of knowledge acquisition methods to problem types for intelligent tutoring system development. Recent research has recognized that knowledge acquisition methodologies are not general across problem domains; the effectiveness of a method for obtaining knowledge depends on the characteristics of the domain and problem solving task. Southwest Research Institute developed a taxonomy of problem types by evaluating the characteristics that discriminate between problems and grouping problems that share critical characteristics. Along with the problem taxonomy, heuristics that guide the knowledge acquisition process based on the characteristics of the class are provided.

Set-up of a multivariate approach based on serum biomarkers as an alternative strategy for the screening evaluation of the potential abuse of growth promoters in veal calves.

PubMed

Pirro, Valentina; Girolami, Flavia; Spalenza, Veronica; Gardini, Giulia; Badino, Paola; Nebbia, Carlo

2015-01-01

A chemometric class modelling strategy (unequal dispersed classes - UNEQ) was applied for the first time as a possible screening method to monitor the abuse of growth promoters in veal calves. Five serum biomarkers, known to reflect the exposure to classes of compounds illegally used as growth promoters, were determined from 50 untreated animals in order to design a model of controls, representing veal calves reared under good, safe and highly standardised breeding conditions. The class modelling was applied to 421 commercially bred veal calves to separate them into 'compliant' and 'non-compliant' with respect to the modelled controls. Part of the non-compliant animals underwent further histological and chemical examinations to confirm the presence of either alterations in target tissues or traces of illegal substances commonly administered for growth-promoting purposes. Overall, the congruence between the histological or chemical methods and the UNEQ non-compliant outcomes was approximately 58%, likely underestimated due to the blindness nature of this examination. Further research is needed to confirm the validity of the UNEQ model in terms of sensitivity in recognising untreated animals as compliant to the controls, and specificity in revealing deviations from ideal breeding conditions, for example due to the abuse of growth promoters.

HLA Class I and Genetic Susceptibility to Type 1 Diabetes

PubMed Central

Noble, Janelle A.; Valdes, Ana Maria; Varney, Michael D.; Carlson, Joyce A.; Moonsamy, Priscilla; Fear, Anna Lisa; Lane, Julie A.; Lavant, Eva; Rappner, Rebecca; Louey, Anthony; Concannon, Patrick; Mychaleckyj, Josyf C.; Erlich, Henry A.

2010-01-01

OBJECTIVE We report here genotyping data and type 1 diabetes association analyses for HLA class I loci (A, B, and C) on 1,753 multiplex pedigrees from the Type 1 Diabetes Genetics Consortium (T1DGC), a large international collaborative study. RESEARCH DESIGN AND METHODS Complete eight-locus HLA genotyping data were generated. Expected patient class I (HLA-A, -B, and -C) allele frequencies were calculated, based on linkage disequilibrium (LD) patterns with observed HLA class II DRB1-DQA1-DQB1 haplotype frequencies. Expected frequencies were compared to observed allele frequencies in patients. RESULTS Significant type 1 diabetes associations were observed at all class I HLA loci. After accounting for LD with HLA class II, the most significantly type 1 diabetes–associated alleles were B*5701 (odds ratio 0.19; P = 4 × 10−11) and B*3906 (10.31; P = 4 × 10−10). Other significantly type 1 diabetes–associated alleles included A*2402, A*0201, B*1801, and C*0501 (predisposing) and A*1101, A*3201, A*6601, B*0702, B*4403, B*3502, C*1601, and C*0401 (protective). Some alleles, notably B*3906, appear to modulate the risk of all DRB1-DQA1-DQB1 haplotypes on which they reside, suggesting a class I effect that is independent of class II. Other class I type 1 diabetes associations appear to be specific to individual class II haplotypes. Some apparent associations (e.g., C*1601) could be attributed to strong LD to another class I susceptibility locus (B*4403). CONCLUSIONS These data indicate that HLA class I alleles, in addition to and independently from HLA class II alleles, are associated with type 1 diabetes. PMID:20798335

Single-case synthesis tools II: Comparing quantitative outcome measures.

PubMed

Zimmerman, Kathleen N; Pustejovsky, James E; Ledford, Jennifer R; Barton, Erin E; Severini, Katherine E; Lloyd, Blair P

2018-03-07

Varying methods for evaluating the outcomes of single case research designs (SCD) are currently used in reviews and meta-analyses of interventions. Quantitative effect size measures are often presented alongside visual analysis conclusions. Six measures across two classes-overlap measures (percentage non-overlapping data, improvement rate difference, and Tau) and parametric within-case effect sizes (standardized mean difference and log response ratio [increasing and decreasing])-were compared to determine if choice of synthesis method within and across classes impacts conclusions regarding effectiveness. The effectiveness of sensory-based interventions (SBI), a commonly used class of treatments for young children, was evaluated. Separately from evaluations of rigor and quality, authors evaluated behavior change between baseline and SBI conditions. SBI were unlikely to result in positive behavior change across all measures except IRD. However, subgroup analyses resulted in variable conclusions, indicating that the choice of measures for SCD meta-analyses can impact conclusions. Suggestions for using the log response ratio in SCD meta-analyses and considerations for understanding variability in SCD meta-analysis conclusions are discussed. Copyright © 2018 Elsevier Ltd. All rights reserved.

Class effect of pharmacotherapy in bipolar disorder: fact or misbelief?

PubMed Central

2011-01-01

Background Anecdotal reports suggests that most clinicians treat medications as belonging to a class with regard to all therapeutic indications; this means that the whole 'class' of drugs is considered to possesses a specific therapeutic action. The present article explores the possible existence of a true 'class effect' for agents available for the treatment of bipolar disorder. Methods We reviewed the available treatment data from randomized controlled trials (RCTs) and explored 16 'agent class'/'treatment issue' cases for bipolar disorder. Four classes of agents were examined: first-generation antipsychotics (FGAs), second-generation antipsychotics (SGAs), antiepileptics and antidepressants, with respect to their efficacy on four treatment issues of bipolar disorder (BD) (acute mania, acute bipolar depression, maintenance against mania, maintenance against depression). Results From the 16 'agent class'/' treatment issue' cases, only 3 possible class effects were detected, and they all concerned acute mania and antipsychotics. Four effect cases have not been adequately studied (FGAs against acute bipolar depression and in maintenance protection from depression, and antidepressants against acute mania and protection from mania) and they all concern treatment cases with a high risk of switching to the opposite pole, thus research in these areas is poor. There is no 'class effect' at all concerning antiepileptics. Conclusions The available data suggest that a 'class effect' is the exception rather than the rule in the treatment of BD. However, the possible presence of a 'class effect' concept discourages clinicians from continued scientific training and reading. Focused educational intervention might be necessary to change this attitude. PMID:21435226

Designing Class Methods from Dataflow Diagrams

NASA Astrophysics Data System (ADS)

Shoval, Peretz; Kabeli-Shani, Judith

A method for designing the class methods of an information system is described. The method is part of FOOM - Functional and Object-Oriented Methodology. In the analysis phase of FOOM, two models defining the users' requirements are created: a conceptual data model - an initial class diagram; and a functional model - hierarchical OO-DFDs (object-oriented dataflow diagrams). Based on these models, a well-defined process of methods design is applied. First, the OO-DFDs are converted into transactions, i.e., system processes that supports user task. The components and the process logic of each transaction are described in detail, using pseudocode. Then, each transaction is decomposed, according to well-defined rules, into class methods of various types: basic methods, application-specific methods and main transaction (control) methods. Each method is attached to a proper class; messages between methods express the process logic of each transaction. The methods are defined using pseudocode or message charts.

Evaluation of the Applicability of Different Age Determination Methods for Estimating Age of the Endangered African Wild Dog (Lycaon Pictus).

PubMed

Mbizah, Moreangels M; Steenkamp, Gerhard; Groom, Rosemary J

2016-01-01

African wild dogs (Lycaon pictus) are endangered and their population continues to decline throughout their range. Given their conservation status, more research focused on their population dynamics, population growth and age specific mortality is needed and this requires reliable estimates of age and age of mortality. Various age determination methods from teeth and skull measurements have been applied in numerous studies and it is fundamental to test the validity of these methods and their applicability to different species. In this study we assessed the accuracy of estimating chronological age and age class of African wild dogs, from dental age measured by (i) counting cementum annuli (ii) pulp cavity/tooth width ratio, (iii) tooth wear (measured by tooth crown height) (iv) tooth wear (measured by tooth crown width/crown height ratio) (v) tooth weight and (vi) skull measurements (length, width and height). A sample of 29 African wild dog skulls, from opportunistically located carcasses was analysed. Linear and ordinal regression analysis was done to investigate the performance of each of the six age determination methods in predicting wild dog chronological age and age class. Counting cementum annuli was the most accurate method for estimating chronological age of wild dogs with a 79% predictive capacity, while pulp cavity/tooth width ratio was also a reliable method with a 68% predictive capacity. Counting cementum annuli and pulp cavity/tooth width ratio were again the most accurate methods for separating wild dogs into three age classes (6-24 months; 25-60 months and > 60 months), with a McFadden's Pseudo-R2 of 0.705 and 0.412 respectively. The use of the cementum annuli method is recommended when estimating age of wild dogs since it is the most reliable method. However, its use is limited as it requires tooth extraction and shipping, is time consuming and expensive, and is not applicable to living individuals. Pulp cavity/tooth width ratio is a moderately reliable method for estimating both chronological age and age class. This method gives a balance between accuracy, cost and practicability, therefore it is recommended when precise age estimations are not paramount.

Evaluation of the Applicability of Different Age Determination Methods for Estimating Age of the Endangered African Wild Dog (Lycaon Pictus)

PubMed Central

Steenkamp, Gerhard; Groom, Rosemary J.

2016-01-01

African wild dogs (Lycaon pictus) are endangered and their population continues to decline throughout their range. Given their conservation status, more research focused on their population dynamics, population growth and age specific mortality is needed and this requires reliable estimates of age and age of mortality. Various age determination methods from teeth and skull measurements have been applied in numerous studies and it is fundamental to test the validity of these methods and their applicability to different species. In this study we assessed the accuracy of estimating chronological age and age class of African wild dogs, from dental age measured by (i) counting cementum annuli (ii) pulp cavity/tooth width ratio, (iii) tooth wear (measured by tooth crown height) (iv) tooth wear (measured by tooth crown width/crown height ratio) (v) tooth weight and (vi) skull measurements (length, width and height). A sample of 29 African wild dog skulls, from opportunistically located carcasses was analysed. Linear and ordinal regression analysis was done to investigate the performance of each of the six age determination methods in predicting wild dog chronological age and age class. Counting cementum annuli was the most accurate method for estimating chronological age of wild dogs with a 79% predictive capacity, while pulp cavity/tooth width ratio was also a reliable method with a 68% predictive capacity. Counting cementum annuli and pulp cavity/tooth width ratio were again the most accurate methods for separating wild dogs into three age classes (6–24 months; 25–60 months and > 60 months), with a McFadden’s Pseudo-R2 of 0.705 and 0.412 respectively. The use of the cementum annuli method is recommended when estimating age of wild dogs since it is the most reliable method. However, its use is limited as it requires tooth extraction and shipping, is time consuming and expensive, and is not applicable to living individuals. Pulp cavity/tooth width ratio is a moderately reliable method for estimating both chronological age and age class. This method gives a balance between accuracy, cost and practicability, therefore it is recommended when precise age estimations are not paramount. PMID:27732663

A Comparison of Geographic Information Systems, Complex Networks, and Other Models for Analyzing Transportation Network Topologies

NASA Technical Reports Server (NTRS)

Alexandrov, Natalia (Technical Monitor); Kuby, Michael; Tierney, Sean; Roberts, Tyler; Upchurch, Christopher

2005-01-01

This report reviews six classes of models that are used for studying transportation network topologies. The report is motivated by two main questions. First, what can the "new science" of complex networks (scale-free, small-world networks) contribute to our understanding of transport network structure, compared to more traditional methods? Second, how can geographic information systems (GIS) contribute to studying transport networks? The report defines terms that can be used to classify different kinds of models by their function, composition, mechanism, spatial and temporal dimensions, certainty, linearity, and resolution. Six broad classes of models for analyzing transport network topologies are then explored: GIS; static graph theory; complex networks; mathematical programming; simulation; and agent-based modeling. Each class of models is defined and classified according to the attributes introduced earlier. The paper identifies some typical types of research questions about network structure that have been addressed by each class of model in the literature.

A comparative study of nonparametric methods for pattern recognition

NASA Technical Reports Server (NTRS)

Hahn, S. F.; Nelson, G. D.

1972-01-01

The applied research discussed in this report determines and compares the correct classification percentage of the nonparametric sign test, Wilcoxon's signed rank test, and K-class classifier with the performance of the Bayes classifier. The performance is determined for data which have Gaussian, Laplacian and Rayleigh probability density functions. The correct classification percentage is shown graphically for differences in modes and/or means of the probability density functions for four, eight and sixteen samples. The K-class classifier performed very well with respect to the other classifiers used. Since the K-class classifier is a nonparametric technique, it usually performed better than the Bayes classifier which assumes the data to be Gaussian even though it may not be. The K-class classifier has the advantage over the Bayes in that it works well with non-Gaussian data without having to determine the probability density function of the data. It should be noted that the data in this experiment was always unimodal.

Developing Environmentally Responsible Behaviours Through the Implementation of Argumentation- and Problem-Based Learning Models

NASA Astrophysics Data System (ADS)

Fettahlıoğlu, Pınar; Aydoğdu, Mustafa

2018-04-01

The purpose of this research is to investigate the effect of using argumentation and problem-based learning approaches on the development of environmentally responsible behaviours among pre-service science teachers. Experimental activities were implemented for 14 weeks for 52 class hours in an environmental education class within a science teaching department. A mixed method was used as a research design; particularly, a special type of Concurrent Nested Strategy was applied. The quantitative portion was based on the one-group pre-test and post-test models, and the qualitative portion was based on the holistic multiple-case study method. The quantitative portion of the research was conducted with 34 third-year pre-service science teachers studying at a state university. The qualitative portion of the study was conducted with six pre-service science teachers selected among the 34 pre-service science teachers based on the pre-test results obtained from an environmentally responsible behaviour scale. t tests for dependent groups were used to analyse quantitative data. Both descriptive and content analyses of the qualitative data were performed. The results of the study showed that the use of the argumentation and problem-based learning approaches significantly contributed to the development of environmentally responsible behaviours among pre-service science teachers.

Slope histogram distribution-based parametrisation of Martian geomorphic features

NASA Astrophysics Data System (ADS)

Balint, Zita; Székely, Balázs; Kovács, Gábor

2014-05-01

The application of geomorphometric methods on the large Martian digital topographic datasets paves the way to analyse the Martian areomorphic processes in more detail. One of the numerous methods is the analysis is to analyse local slope distributions. To this implementation a visualization program code was developed that allows to calculate the local slope histograms and to compare them based on Kolmogorov distance criterion. As input data we used the digital elevation models (DTMs) derived from HRSC high-resolution stereo camera image from various Martian regions. The Kolmogorov-criterion based discrimination produces classes of slope histograms that displayed using coloration obtaining an image map. In this image map the distribution can be visualized by their different colours representing the various classes. Our goal is to create a local slope histogram based classification for large Martian areas in order to obtain information about general morphological characteristics of the region. This is a contribution of the TMIS.ascrea project, financed by the Austrian Research Promotion Agency (FFG). The present research is partly realized in the frames of TÁMOP 4.2.4.A/2-11-1-2012-0001 high priority "National Excellence Program - Elaborating and Operating an Inland Student and Researcher Personal Support System convergence program" project's scholarship support, using Hungarian state and European Union funds and cofinances from the European Social Fund.

Runtime Support for Type-Safe Dynamic Java Classes

DTIC Science & Technology

2000-01-01

Section 4.3. For each dynamic class C, we create a proxy class, Cproxy, and an implementation class, Cimp . In order to wrap method calls, Cproxy...wrapper method (W) and a reference to the associated method body (M). W explicitly invokes M, which points to the corresponding method body in Cimp ...When C’s implementation Cimp is switched, M is updated to point to the corresponding method object in the new C imp. Cproxy also contains a reference

Group-Effort Applied Research (GEAR): Expanding Opportunities for Undergraduate Research Through Original, Class-Based Research Projects

PubMed Central

Moore, Sean D.; Teter, Ken

2014-01-01

Undergraduate research clearly enriches the educational development of participating students, but these experiences are limited by the inherent inefficiency of the standard one student - one mentor model for undergraduate research. Group-Effort Applied Research (GEAR) was developed as a strategy to provide substantial numbers of undergraduates with meaningful research experiences. The GEAR curriculum delivers concept-driven lecture material and provides hands-on training in the context of an active research project from the instructor's lab. Because GEAR is structured as a class, participating students benefit from intensive, supervised research training that involves a built-in network of peer support and abundant contact with faculty mentors. The class format also ensures a relatively standardized and consistent research experience. Furthermore, meaningful progress toward a research objective can be achieved more readily with GEAR than with the traditional one student - one mentor model of undergraduate research because sporadic mistakes by individuals in the class are overshadowed by the successes of the group as a whole. Three separate GEAR classes involving three distinct research projects have been offered to date. In this paper, we provide an overview of the GEAR format and review some of the recurring themes for GEAR instruction. We propose GEAR can serve as a template to expand student opportunities for life science research without sacrificing the quality of the mentored research experience. PMID:24898007

Group-effort applied research: expanding opportunities for undergraduate research through original, class-based research projects.

PubMed

Moore, Sean D; Teter, Ken

2014-01-01

Undergraduate research clearly enriches the educational development of participating students, but these experiences are limited by the inherent inefficiency of the standard one student-one mentor model for undergraduate research. Group-effort applied research (GEAR) was developed as a strategy to provide substantial numbers of undergraduates with meaningful research experiences. The GEAR curriculum delivers concept-driven lecture material and provides hands-on training in the context of an active research project from the instructor's laboratory. Because GEAR is structured as a class, participating students benefit from intensive, supervised research training that involves a built-in network of peer support and abundant contact with faculty mentors. The class format also ensures a relatively standardized and consistent research experience. Furthermore, meaningful progress toward a research objective can be achieved more readily with GEAR than with the traditional one student-one mentor model of undergraduate research because sporadic mistakes by individuals in the class are overshadowed by the successes of the group as a whole. Three separate GEAR classes involving three distinct research projects have been offered to date. In this article, we provide an overview of the GEAR format and review some of the recurring themes for GEAR instruction. We propose GEAR can serve as a template to expand student opportunities for life science research without sacrificing the quality of the mentored research experience. © 2014 The International Union of Biochemistry and Molecular Biology.

Developing and Teaching an Online MBA Marketing Research Class: Implications for Online Learning Effectiveness

ERIC Educational Resources Information Center

Sun, Qin; Ganesh, Gopala

2014-01-01

The authors intend to describe the experience of developing and teaching an online marketing research class for master of business administration students. The class has been taught for four fall semesters. Each time, the class also completed an online survey, analyzed the resulting data, and wrote a detailed report for a real client. The course…

Approaches to the Management of Large Classes. Lancaster-Leeds Language Learning in Large Classes Research Project. Report, No. 11.

ERIC Educational Resources Information Center

Coleman, Hywel

Various approaches to the management of large classes identified in the literature are categorized, with information drawn especially from earlier findings of the Lancaster-Leeds Language Learning in Large Classes Research Project. The discussion makes use of sources appearing during the last 150 years, but emphasizes the period since 1960. Three…

Review of "Class Size: What Research Says and What It Means for State Policy"

ERIC Educational Resources Information Center

Whitmore Schanzenbach, Diane

2011-01-01

"Class Size: What Research Says and What It Means for State Policy" argues that increasing average class size by one student will save about 2% of total education spending with negligible impact on academic achievement. It justifies this conclusion on the basis that Class-Size Reduction (CSR) is not particularly effective and is not as…

Drug-target interaction prediction via class imbalance-aware ensemble learning.

PubMed

Ezzat, Ali; Wu, Min; Li, Xiao-Li; Kwoh, Chee-Keong

2016-12-22

Multiple computational methods for predicting drug-target interactions have been developed to facilitate the drug discovery process. These methods use available data on known drug-target interactions to train classifiers with the purpose of predicting new undiscovered interactions. However, a key challenge regarding this data that has not yet been addressed by these methods, namely class imbalance, is potentially degrading the prediction performance. Class imbalance can be divided into two sub-problems. Firstly, the number of known interacting drug-target pairs is much smaller than that of non-interacting drug-target pairs. This imbalance ratio between interacting and non-interacting drug-target pairs is referred to as the between-class imbalance. Between-class imbalance degrades prediction performance due to the bias in prediction results towards the majority class (i.e. the non-interacting pairs), leading to more prediction errors in the minority class (i.e. the interacting pairs). Secondly, there are multiple types of drug-target interactions in the data with some types having relatively fewer members (or are less represented) than others. This variation in representation of the different interaction types leads to another kind of imbalance referred to as the within-class imbalance. In within-class imbalance, prediction results are biased towards the better represented interaction types, leading to more prediction errors in the less represented interaction types. We propose an ensemble learning method that incorporates techniques to address the issues of between-class imbalance and within-class imbalance. Experiments show that the proposed method improves results over 4 state-of-the-art methods. In addition, we simulated cases for new drugs and targets to see how our method would perform in predicting their interactions. New drugs and targets are those for which no prior interactions are known. Our method displayed satisfactory prediction performance and was able to predict many of the interactions successfully. Our proposed method has improved the prediction performance over the existing work, thus proving the importance of addressing problems pertaining to class imbalance in the data.

A qualitative approach exploring the acceptability of yoga for minorities living with arthritis: 'Where are the people who look like me?'

PubMed

Middleton, Kimberly R; Magaña López, Miriam; Haaz Moonaz, Steffany; Tataw-Ayuketah, Gladys; Ward, Michael M; Wallen, Gwenyth R

2017-04-01

To examine the acceptability of yoga research tailored to recruit and retain a minority population (both English and Spanish speaking) with arthritis. Yoga research for arthritis often underrepresents minorities and acceptability for this population has not previously been investigated. Acceptability was evaluated using retention, adherence, journals, and semi-structured exit interviews from twelve participants with osteoarthritis or rheumatoid arthritis undergoing an 8-week yoga intervention. Journal quotes were analyzed using content analysis techniques. NVivo software was used to organize transcripts and assemble themes. Two methods of triangulation (data and investigator) were used to overcome potential bias from a single-perspective interpretation. Exit interview comments were content analyzed using a card sort method. The study was designed with a cultural infrastructure including a multicultural research team, translators, and bilingual materials and classes, to facilitate trust and acceptability for primarily Hispanic and Black/African-American adults. Washington, D.C. metropolitan area, USA. On average participants attended 10 of 16 classes, with home practice 2-3days a week. All who completed were still practicing yoga three-months later. Qualitative narrative analysis identified major themes related to facilitating factors and barriers for yoga practice, self-efficacy, and support. Participant comments indicated that offering an arthritis-based yoga intervention and using a culturally congruent research design was found to be acceptable. As yoga research grows, there is a need to understand and promote acceptability for typically under-represented populations. This study attempts to inform the expansion of multicultural research designed to recruit and retain those from diverse backgrounds. Published by Elsevier Ltd.

Social class, leaders and leadership: a critical review and suggestions for development.

PubMed

Martin, Sean R; Innis, Benjamin D; Ward, Ray G

2017-12-01

The consideration of social class in leadership research presents many exciting directions for research. In this review, we describe and summarize how social class research has been applied to the study of leaders and the leadership process, noting that while evidence suggests those from higher social classes are more likely to occupy formal leader roles in organizations, there is little evidence suggesting that they are more effective in these roles than those from lower social classes. We conclude with a discussion of important, unanswered theoretical questions about how social class relates to the process of leadership-most notably, whether those from different classes internalize different beliefs and expectations about how people in leader and follower roles should act, and how matches or mismatches in those beliefs and expectations shape leader-follower interactions and outcomes. Copyright © 2017 Elsevier Ltd. All rights reserved.

Classification of independent components of EEG into multiple artifact classes.

PubMed

Frølich, Laura; Andersen, Tobias S; Mørup, Morten

2015-01-01

In this study, we aim to automatically identify multiple artifact types in EEG. We used multinomial regression to classify independent components of EEG data, selecting from 65 spatial, spectral, and temporal features of independent components using forward selection. The classifier identified neural and five nonneural types of components. Between subjects within studies, high classification performances were obtained. Between studies, however, classification was more difficult. For neural versus nonneural classifications, performance was on par with previous results obtained by others. We found that automatic separation of multiple artifact classes is possible with a small feature set. Our method can reduce manual workload and allow for the selective removal of artifact classes. Identifying artifacts during EEG recording may be used to instruct subjects to refrain from activity causing them. Copyright © 2014 Society for Psychophysiological Research.

Methods of Science Investigation Part 2: Results of Implementation of a Curriculum Fostering Original Scientific Research

NASA Astrophysics Data System (ADS)

Danch, J. M.

2008-12-01

Originally designed to allow secondary students with special needs to participate in original scientific research, the Methods of Science Curriculum was piloted in 2008. Students participating included those with special needs, English language learners, and the general population. Students were incrementally graduated from traditional inquiry activities towards authentic student-generated research projects. Students were evaluated via class work grades, an in-school symposium and a pre/post test. 100 percent of participants successfully completed and presented their original research. The pre/post evaluation demonstrated improvement for 91 percent of participants. An unanticipated result was the performance and growth of English language learners, possibly because of the emphasis on the creative and active process of science rather than vocabulary. A teacher-training program is being developed for expansion of the curriculum to additional schools in 2009.

A study on the impact of prioritising emergency department arrivals on the patient waiting time.

PubMed

Van Bockstal, Ellen; Maenhout, Broos

2018-05-03

In the past decade, the crowding of the emergency department has gained considerable attention of researchers as the number of medical service providers is typically insufficient to fulfil the demand for emergency care. In this paper, we solve the stochastic emergency department workforce planning problem and consider the planning of nurses and physicians simultaneously for a real-life case study in Belgium. We study the patient arrival pattern of the emergency department in depth and consider different patient acuity classes by disaggregating the arrival pattern. We determine the personnel staffing requirements and the design of the shifts based on the patient arrival rates per acuity class such that the resource staffing cost and the weighted patient waiting time are minimised. In order to solve this multi-objective optimisation problem, we construct a Pareto set of optimal solutions via the -constraints method. For a particular staffing composition, the proposed model minimises the patient waiting time subject to upper bounds on the staffing size using the Sample Average Approximation Method. In our computational experiments, we discern the impact of prioritising the emergency department arrivals. Triaging results in lower patient waiting times for higher priority acuity classes and to a higher waiting time for the lowest priority class, which does not require immediate care. Moreover, we perform a sensitivity analysis to verify the impact of the arrival and service pattern characteristics, the prioritisation weights between different acuity classes and the incorporated shift flexibility in the model.

Validation of a side-scan sonar method for quantifying walleye spawning habitat availability in the littoral zone of northern Wisconsin Lakes

USGS Publications Warehouse

Richter, Jacob T.; Sloss, Brian L.; Isermann, Daniel A.

2016-01-01

Previous research has generally ignored the potential effects of spawning habitat availability and quality on recruitment of Walleye Sander vitreus, largely because information on spawning habitat is lacking for many lakes. Furthermore, traditional transect-based methods used to describe habitat are time and labor intensive. Our objectives were to determine if side-scan sonar could be used to accurately classify Walleye spawning habitat in the nearshore littoral zone and provide lakewide estimates of spawning habitat availability similar to estimates obtained from a transect–quadrat-based method. Based on assessments completed on 16 northern Wisconsin lakes, interpretation of side-scan sonar images resulted in correct identification of substrate size-class for 93% (177 of 191) of selected locations and all incorrect classifications were within ± 1 class of the correct substrate size-class. Gravel, cobble, and rubble substrates were incorrectly identified from side-scan images in only two instances (1% misclassification), suggesting that side-scan sonar can be used to accurately identify preferred Walleye spawning substrates. Additionally, we detected no significant differences in estimates of lakewide littoral zone substrate compositions estimated using side-scan sonar and a traditional transect–quadrat-based method. Our results indicate that side-scan sonar offers a practical, accurate, and efficient technique for assessing substrate composition and quantifying potential Walleye spawning habitat in the nearshore littoral zone of north temperate lakes.

A novel channel selection method for optimal classification in different motor imagery BCI paradigms.

PubMed

Shan, Haijun; Xu, Haojie; Zhu, Shanan; He, Bin

2015-10-21

For sensorimotor rhythms based brain-computer interface (BCI) systems, classification of different motor imageries (MIs) remains a crucial problem. An important aspect is how many scalp electrodes (channels) should be used in order to reach optimal performance classifying motor imaginations. While the previous researches on channel selection mainly focus on MI tasks paradigms without feedback, the present work aims to investigate the optimal channel selection in MI tasks paradigms with real-time feedback (two-class control and four-class control paradigms). In the present study, three datasets respectively recorded from MI tasks experiment, two-class control and four-class control experiments were analyzed offline. Multiple frequency-spatial synthesized features were comprehensively extracted from every channel, and a new enhanced method IterRelCen was proposed to perform channel selection. IterRelCen was constructed based on Relief algorithm, but was enhanced from two aspects: change of target sample selection strategy and adoption of the idea of iterative computation, and thus performed more robust in feature selection. Finally, a multiclass support vector machine was applied as the classifier. The least number of channels that yield the best classification accuracy were considered as the optimal channels. One-way ANOVA was employed to test the significance of performance improvement among using optimal channels, all the channels and three typical MI channels (C3, C4, Cz). The results show that the proposed method outperformed other channel selection methods by achieving average classification accuracies of 85.2, 94.1, and 83.2 % for the three datasets, respectively. Moreover, the channel selection results reveal that the average numbers of optimal channels were significantly different among the three MI paradigms. It is demonstrated that IterRelCen has a strong ability for feature selection. In addition, the results have shown that the numbers of optimal channels in the three different motor imagery BCI paradigms are distinct. From a MI task paradigm, to a two-class control paradigm, and to a four-class control paradigm, the number of required channels for optimizing the classification accuracy increased. These findings may provide useful information to optimize EEG based BCI systems, and further improve the performance of noninvasive BCI.

Word classes in the brain: implications of linguistic typology for cognitive neuroscience.

PubMed

Kemmerer, David

2014-09-01

Although recent research on the neural substrates of word classes has generated some valuable findings, significant progress has been hindered by insufficient attention to theoretical issues involving the nature of the lexical phenomena under investigation. This paper shows how insights from linguistic typology can provide cognitive neuroscientists with well-motivated guidelines for interpreting the extant data and charting a future course. At the outset, a fundamental distinction is made between universal and language-particular aspects of word classes. Regarding universals, prototypical nouns involve reference to objects, and their meanings rely primarily on the ventral temporal lobes, which represent the shape features of entities; in contrast, prototypical verbs involve predication of actions, and their meanings rely primarily on posterior middle temporal regions and frontoparietal regions, which represent the visual motion features and somatomotor features of events. Some researchers maintain that focusing on object nouns and action verbs is inappropriate because it conflates the semantic and grammatical properties of each word class. However, this criticism not only ignores the importance of the universal prototypes, but also mistakenly assumes that there are straightforward morphological and/or syntactic criteria for identifying nouns and verbs in particular languages. In fact, at the level of individual languages, the classic method of distributional analysis leads to a proliferation of constructionally based entity-denoting and event-denoting word classes with mismatching memberships, and all of this variation must be taken seriously, not only by linguists, but also by cognitive neuroscientists. Many of these word classes involve remarkably close correspondences between grammar and meaning and hence are highly relevant to the neurobiology of conceptual knowledge, but so far hardly any of them have been investigated from a neurolinguistic perspective. Copyright © 2014 Elsevier Ltd. All rights reserved.

Male Eating Disorder Symptom Patterns and Health Correlates From 13 to 26 Years of Age

PubMed Central

Calzo, Jerel P.; Horton, Nicholas J.; Sonneville, Kendrin R.; Swanson, Sonja; Crosby, Ross D.; Micali, Nadia; Eddy, Kamryn T.; Field, Alison E.

2016-01-01

Objective Research on the manifestations and health correlates of eating disorder symptoms among males is lacking. This study identified patterns of appearance concerns and eating disorder behaviors from adolescence through young adulthood and their health correlates. Method Participants were 7,067 males from the prospective Growing Up Today Study. Surveys from 1999–2007 (spanning ages 13–26 years) provided repeated measures data on: muscularity and leanness concerns; eating disorder behaviors (purging, overeating, binge eating, use of muscle-building products); and health correlates (obesity, non-marijuana drug use, binge drinking, and depressive symptoms). Results Latent class analyses of observations at ages 13–15, 16–18, 19–22, and 23–26 identified one large Asymptomatic class and four symptomatic patterns: Body Image Disturbance (high appearance concerns, low eating disorder behaviors; 1.0%–6.0% per age period); Binge Eating/Purging (binge eating and purging, use of muscle-building products, low appearance concerns; 0.1%–2.5%); Mostly Asymptomatic (low levels of muscularity concern, product use, and overeating; 3.5%–5.0%); and Muscularity Concerns (high muscularity concerns and use of products; 0.6%–1.0%). The Body Image Disturbance class was associated with high estimated prevalence of depressive symptoms. Males in the Binge Eating/Purging and Muscularity Concerns classes had high prevalence of binge drinking and drug use. Despite exhibiting modestly greater appearance concerns and eating disorder behaviors than the Asymptomatic class, being in the Mostly Asymptomatic class was prospectively associated with adverse health outcomes. Conclusion Results underscore the importance of measuring concerns about leanness, muscularity, and use of muscle-building products when assessing eating disorder presentations among males in research and clinical settings. PMID:27453083

a Novel 3d Intelligent Fuzzy Algorithm Based on Minkowski-Clustering

NASA Astrophysics Data System (ADS)

Toori, S.; Esmaeily, A.

2017-09-01

Assessing and monitoring the state of the earth surface is a key requirement for global change research. In this paper, we propose a new consensus fuzzy clustering algorithm that is based on the Minkowski distance. This research concentrates on Tehran's vegetation mass and its changes during 29 years using remote sensing technology. The main purpose of this research is to evaluate the changes in vegetation mass using a new process by combination of intelligent NDVI fuzzy clustering and Minkowski distance operation. The dataset includes the images of Landsat8 and Landsat TM, from 1989 to 2016. For each year three images of three continuous days were used to identify vegetation impact and recovery. The result was a 3D NDVI image, with one dimension for each day NDVI. The next step was the classification procedure which is a complicated process of categorizing pixels into a finite number of separate classes, based on their data values. If a pixel satisfies a certain set of standards, the pixel is allocated to the class that corresponds to those criteria. This method is less sensitive to noise and can integrate solutions from multiple samples of data or attributes for processing data in the processing industry. The result was a fuzzy one dimensional image. This image was also computed for the next 28 years. The classification was done in both specified urban and natural park areas of Tehran. Experiments showed that our method worked better in classifying image pixels in comparison with the standard classification methods.

Data mining: Potential applications in research on nutrition and health.

PubMed

Batterham, Marijka; Neale, Elizabeth; Martin, Allison; Tapsell, Linda

2017-02-01

Data mining enables further insights from nutrition-related research, but caution is required. The aim of this analysis was to demonstrate and compare the utility of data mining methods in classifying a categorical outcome derived from a nutrition-related intervention. Baseline data (23 variables, 8 categorical) on participants (n = 295) in an intervention trial were used to classify participants in terms of meeting the criteria of achieving 10 000 steps per day. Results from classification and regression trees (CARTs), random forests, adaptive boosting, logistic regression, support vector machines and neural networks were compared using area under the curve (AUC) and error assessments. The CART produced the best model when considering the AUC (0.703), overall error (18%) and within class error (28%). Logistic regression also performed reasonably well compared to the other models (AUC 0.675, overall error 23%, within class error 36%). All the methods gave different rankings of variables' importance. CART found that body fat, quality of life using the SF-12 Physical Component Summary (PCS) and the cholesterol: HDL ratio were the most important predictors of meeting the 10 000 steps criteria, while logistic regression showed the SF-12PCS, glucose levels and level of education to be the most significant predictors (P ≤ 0.01). Differing outcomes suggest caution is required with a single data mining method, particularly in a dataset with nonlinear relationships and outliers and when exploring relationships that were not the primary outcomes of the research. © 2017 Dietitians Association of Australia.

40 CFR Table E-1 to Subpart E of... - Summary of Test Requirements for Reference and Class I Equivalent Methods for PM2.5 and PM10-2.5

Code of Federal Regulations, 2010 CFR

2010-07-01

... Reference and Class I Equivalent Methods for PM2.5 and PM10-2.5 E Table E-1 to Subpart E of Part 53... MONITORING REFERENCE AND EQUIVALENT METHODS Procedures for Testing Physical (Design) and Performance Characteristics of Reference Methods and Class I and Class II Equivalent Methods for PM2.5 or PM10â2.5 Pt. 53...

Construction of joint confidence regions for the optimal true class fractions of Receiver Operating Characteristic (ROC) surfaces and manifolds.

PubMed

Bantis, Leonidas E; Nakas, Christos T; Reiser, Benjamin; Myall, Daniel; Dalrymple-Alford, John C

2017-06-01

The three-class approach is used for progressive disorders when clinicians and researchers want to diagnose or classify subjects as members of one of three ordered categories based on a continuous diagnostic marker. The decision thresholds or optimal cut-off points required for this classification are often chosen to maximize the generalized Youden index (Nakas et al., Stat Med 2013; 32: 995-1003). The effectiveness of these chosen cut-off points can be evaluated by estimating their corresponding true class fractions and their associated confidence regions. Recently, in the two-class case, parametric and non-parametric methods were investigated for the construction of confidence regions for the pair of the Youden-index-based optimal sensitivity and specificity fractions that can take into account the correlation introduced between sensitivity and specificity when the optimal cut-off point is estimated from the data (Bantis et al., Biomet 2014; 70: 212-223). A parametric approach based on the Box-Cox transformation to normality often works well while for markers having more complex distributions a non-parametric procedure using logspline density estimation can be used instead. The true class fractions that correspond to the optimal cut-off points estimated by the generalized Youden index are correlated similarly to the two-class case. In this article, we generalize these methods to the three- and to the general k-class case which involves the classification of subjects into three or more ordered categories, where ROC surface or ROC manifold methodology, respectively, is typically employed for the evaluation of the discriminatory capacity of a diagnostic marker. We obtain three- and multi-dimensional joint confidence regions for the optimal true class fractions. We illustrate this with an application to the Trail Making Test Part A that has been used to characterize cognitive impairment in patients with Parkinson's disease.

The research of .NET framework based on delegate of the LCE

NASA Astrophysics Data System (ADS)

Chen, Yi-peng

2011-10-01

Programmers realize LCE Enterprise services provided by NET framework when they develop applied VC# programming design language with component technology facing objects Lots of basic codes used to be compiled in the traditional programming design. However, nowadays this can be done just by adding corresponding character at class, interface, method, assembly with simple declarative program. This paper mainly expatiates the mechanism to realize LCE event services with delegate mode in C#. It also introduces the procedure of applying event class, event publisher, subscriber and client in LCE technology. It analyses the technology points of LCE based on delegate mode with popular language and practicing cases.

Visualisation Ability of Senior High School Students with Using GeoGebra and Transparent Mica

NASA Astrophysics Data System (ADS)

Thohirudin, M.; Maryati, TK; Dwirahayu, G.

2017-04-01

Visualisation ability is an ability to process, inform, and transform object which suitable for geometry topic in math. This research aims to describe the influence of using software GeoGebra and transparent mica for student’s visualisation ability. GeoGebra is shortness of geometry and algebra. GeoGebra is an open source program that is created for math. Transparent mica is a tool that is created by the author to transform a geometry object. This research is a quantitative experiment model. The subject of this research were students in grade XII of science program in Annajah Senior High School Rumpin with two classes which one as an experiment class (science one) and another one as a control class (science two). Experiment class use GeoGebra and transparent mica in the study, and control class use powerpoint in the study. Data of student’s visualisation ability is collected from posttest with visual questions which are gifted at the end of the research to both classes with topic “transformation geometry”. This research resulted that studying with GeoGebra and transparent mica had a better influence than studying with powerpoint to student’s visualisation ability. The time of study in class and the habit of the students to use software and tool affected the result of research. Although, GeoGebra and transparent mica can give help to students in transformation geometry topic.

Didactic trajectory of research in mathematics education using research-based learning

NASA Astrophysics Data System (ADS)

Charitas Indra Prahmana, Rully; Kusumah, Yaya S.; Darhim

2017-10-01

This study aims to describe the role of research-based learning in design a learning trajectory of research in mathematics education to enhance research and academic writing skills for pre-service mathematics teachers. The method used is a design research with three stages, namely the preliminary design, teaching experiment, and retrospective analysis. The research subjects are pre-service mathematics teacher class of 2012 from one higher education institution in Tangerang - Indonesia. The use of research-based learning in designing learning trajectory of research in mathematics education plays a crucial role as a trigger to enhancing math department preservice teachers research and academic writing skills. Also, this study also describes the design principles and characteristics of the learning trajectory namely didactic trajectory generated by the role of research-based learning syntax.

Inter-class sparsity based discriminative least square regression.

PubMed

Wen, Jie; Xu, Yong; Li, Zuoyong; Ma, Zhongli; Xu, Yuanrong

2018-06-01

Least square regression is a very popular supervised classification method. However, two main issues greatly limit its performance. The first one is that it only focuses on fitting the input features to the corresponding output labels while ignoring the correlations among samples. The second one is that the used label matrix, i.e., zero-one label matrix is inappropriate for classification. To solve these problems and improve the performance, this paper presents a novel method, i.e., inter-class sparsity based discriminative least square regression (ICS_DLSR), for multi-class classification. Different from other methods, the proposed method pursues that the transformed samples have a common sparsity structure in each class. For this goal, an inter-class sparsity constraint is introduced to the least square regression model such that the margins of samples from the same class can be greatly reduced while those of samples from different classes can be enlarged. In addition, an error term with row-sparsity constraint is introduced to relax the strict zero-one label matrix, which allows the method to be more flexible in learning the discriminative transformation matrix. These factors encourage the method to learn a more compact and discriminative transformation for regression and thus has the potential to perform better than other methods. Extensive experimental results show that the proposed method achieves the best performance in comparison with other methods for multi-class classification. Copyright © 2018 Elsevier Ltd. All rights reserved.

Introducing astronomy into high school physics curriculum through the use of the University of North Dakota Observatory

NASA Astrophysics Data System (ADS)

Nolby, Caitlin Marie

Astronomy education is currently lacking in the secondary level classroom. Many programs have been created to remedy this, including research opportunities for students and training workshops for educators. These reach only a small fraction of the population however, while remaining students still lack the opportunity to learn astronomy at the secondary level. This research addresses the creation of a program that will make astronomy education a recurring option for students across North Dakota through implementation of a two-week astronomy course at Grand Forks Central High School (GFCHS) in a class of 19 physics students. During ten class periods from April 16, 2012 through April 27, 2012, instruction included presentation of basic astronomy concepts and observational techniques as well as student participation in demonstrations and in-class activities. Original lesson plans also included a group research project on the astrometry of an asteroid. Students were given the option to visit the University of North Dakota (UND) Observatory the evening of April 20, 2012 for a public "star party" where they received a tour of the university's telescopes and research equipment. Students also took a field trip to the John D. Odegard School of Aerospace Sciences to tour Aviation and Space Studies facilities at UND on April 25, 2012. Students were given a pre-test at the start of the course, daily exit surveys at the end of each class period, and a post-test at the end of the two weeks. These assessments were used to evaluate student enjoyment, progress, and overall perception of the course. The research also identified common misconceptions in astronomy held by the learners and the most effective teaching methods. It was found that this course was overall successful in promoting the students' learning of astronomy. This analysis has been used to make improvements in future installments of the course and it is now available online to educators for use in the classroom.

Examining the Latent Class Structure of CO2 Hypersensitivity using Time Course Trajectories of Panic Response Systems

PubMed Central

Roberson-Nay, Roxann; Beadel, Jessica R.; Gorlin, Eugenia I.; Latendresse, Shawn J.; Teachman, Bethany A.

2014-01-01

Background and Objectives Carbon dioxide (CO2) hypersensitivity is hypothesized to be a robust endophenotypic marker of panic spectrum vulnerability. The goal of the current study was to explore the latent class trajectories of three primary response systems theoretically associated with CO2 hypersensitivity: subjective anxiety, panic symptoms, and respiratory rate (fR). Methods Participants (n=376; 56% female) underwent a maintained 7.5% CO2 breathing task that included three phases: baseline, CO2 air breathing, and recovery. Growth mixture modeling was used to compare response classes (1..n) to identify the best-fit model for each marker. Panic correlates also were examined to determine class differences in panic vulnerability. Results For subjective anxiety ratings, a three-class model was selected, with individuals in one class reporting an acute increase in anxiety during 7.5% CO2 breathing and a return to pre-CO2 levels during recovery. A second, smaller latent class was distinguished by elevated anxiety across all three phases. The third class reported low anxiety reported during room air, a mild increase in anxiety during 7.5% CO2 breathing, and a return to baseline during recovery. Latent class trajectories for fR yielded one class whereas panic symptom response yielded two classes. Limitations This study examined CO2 hypersensitivity in one of the largest samples to date, but did not ascertain a general population sample thereby limiting generalizability. Moreover, a true resting baseline measure of fR was not measured. Conclusions Two classes potentially representing different risk pathways were observed. Implications of results will be discussed in the context of panic risk research. PMID:25496936

Event classification and optimization methods using artificial intelligence and other relevant techniques: Sharing the experiences

NASA Astrophysics Data System (ADS)

Mohamed, Abdul Aziz; Hasan, Abu Bakar; Ghazali, Abu Bakar Mhd.

2017-01-01

Classification of large data into respected classes or groups could be carried out with the help of artificial intelligence (AI) tools readily available in the market. To get the optimum or best results, optimization tool could be applied on those data. Classification and optimization have been used by researchers throughout their works, and the outcomes were very encouraging indeed. Here, the authors are trying to share what they have experienced in three different areas of applied research.

Joint the Center for Applied Scientific Computing

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

Gamblin, Todd; Bremer, Timo; Van Essen, Brian

The Center for Applied Scientific Computing serves as Livermore Lab’s window to the broader computer science, computational physics, applied mathematics, and data science research communities. In collaboration with academic, industrial, and other government laboratory partners, we conduct world-class scientific research and development on problems critical to national security. CASC applies the power of high-performance computing and the efficiency of modern computational methods to the realms of stockpile stewardship, cyber and energy security, and knowledge discovery for intelligence applications.

Three Essays in Economics Education: An Overview of the Research and Two Studies on the Effectiveness of Alternative Teaching Methods and the Influence of Ethics in the Classroom on Economics Knowledge and Political Philosophy

ERIC Educational Resources Information Center

Malek, Ninos Pierre

2010-01-01

Economics education has been a topic of research interest to many economists. In addition, the philosophical and ethical content of economics and its role in economics education has been an issue of discussion. Chapter 1 of my dissertation addresses what topics should be ignored in a principles of microeconomics class, what the goal of the…

Developing Public Mind Curriculum for Lower Secondary School Classes Using Contemplative Education Methods

ERIC Educational Resources Information Center

Srijumnong, Sirithorn; Sri-ampai, Pissamai; Chano, Jiraporn

2015-01-01

The purposes of this study were to develop a public mind curriculum with Contemplative Education and to study the effect of using the curriculum to enhance public minds. The study was carried out using the research and development process, consisting of three phases: investigating fundamental data, developing a curriculum, and evaluating the…

'Not Hard to Sway': A Case Study of Student Engagement in Two Large Engineering Classes

ERIC Educational Resources Information Center

Shekhar, Prateek; Borrego, Maura

2018-01-01

Although engineering education research has empirically validated the effectiveness of active learning in improving student learning over traditional lecture-based methods, the adoption of active learning in classrooms has been slow. One of the greatest reported barriers is student resistance towards engagement in active learning exercises. This…

Live versus Video Observations: Comparing the Reliability and Validity of Two Methods of Assessing Classroom Quality

ERIC Educational Resources Information Center

Curby, Timothy W.; Johnson, Price; Mashburn, Andrew J.; Carlis, Lydia

2016-01-01

When conducting classroom observations, researchers are often confronted with the decision of whether to conduct observations live or by using pre-recorded video. The present study focuses on comparing and contrasting observations of live and video administrations of the Classroom Assessment Scoring System-PreK (CLASS-PreK). Associations between…

Teaching the Reading and Study Skills Needed in Junior High School Social Studies Classes.

ERIC Educational Resources Information Center

Davis, E. Dale

This study sought to identify effective methods that select, junior high school, social studies teachers found useful in promoting the reading and studying of printed materials. In the course of the research, 78 teachers identified specific procedures they had used to increase seventh, eighth, and ninth grade students' effectiveness in studying…

An Ultra-Sensitive Method for the Analysis of Perfluorinated Alkyl Acids in Drinking Water using a Column Switching High-Performance Liquid Chromatography Tandem Mass Spectrometry

EPA Science Inventory

In epidemiological research, it has become increasingly important to assess subjects' exposure to different classes of chemicals in multiple environmental media. It is a common practice to aliquot limited volumes of samples into smaller quantities for specific trace level chemi...

The Teacher as Researcher: An Experimental Approach toward Teaching in the College Classroom and Beyond.

ERIC Educational Resources Information Center

DeMarie, Darlene

Noting that there are far too many variables ever to have the same teaching results with different people in different classes in different historical times and places, this paper describes methods for helping educational psychology students to learn to assess systematically the results of teaching. First, making one's thinking overt helps…

Vegetative composition in forested areas following application of desired forest condition treatments

Treesearch

Trent A. Danley; Andrew W. Ezell; Emily B. Schultz; John D. Hodges

2015-01-01

Desired forest conditions, or DFCs, are recently created parameters which strive to create diverse stands of hardwoods of various species and age classes, along with varying densities and canopy gaps, through the use of uneven-aged silvicultural methods and repeated stand entries. Little research has been conducted to examine residual stand composition and hardwood...

Effectiveness of Using Screencast Feedback on EFL Students' Writing and Perception

ERIC Educational Resources Information Center

Ali, Amira Desouky

2016-01-01

This mixed-methods research was carried out to investigate the effect of screencast video feedback on the writing of freshmen, studying academic writing course at a university in Egypt, and explore their perception towards receiving screencast feedback. Two classes of 63 students were chosen to participate in this study and were assigned into two…

Prioritizing preferable locations for increasing urban tree canopy in New York City

Treesearch

Dexter Locke; J. Morgan Grove; Jacqueline W.T. Lu; Austin Troy; Jarlath P.M. O' Neil-Dunne; Brian Beck

2010-01-01

This paper presents a set of Geographic Information System (GIS) methods for identifying and prioritizing tree planting sites in urban environments. It uses an analytical approach created by a University of Vermont service-learning class called "GIS Analysis of New York City's Ecology" that was designed to provide research support to the MillionTreesNYC...

Least Squares Distance Method of Cognitive Validation and Analysis for Binary Items Using Their Item Response Theory Parameters

ERIC Educational Resources Information Center

Dimitrov, Dimiter M.

2007-01-01

The validation of cognitive attributes required for correct answers on binary test items or tasks has been addressed in previous research through the integration of cognitive psychology and psychometric models using parametric or nonparametric item response theory, latent class modeling, and Bayesian modeling. All previous models, each with their…

Introducing a Culture of Modeling to Enhance Conceptual Understanding in High School Chemistry Courses

ERIC Educational Resources Information Center

Edwards, Amanda D.; Head, Michelle

2016-01-01

Both the Next Generation Science Standards (NGSS) and the new AP Chemistry curriculum focus on a deeper understanding of content, as well as application of concepts within science classes. A well accepted research-based method for improving student understanding and the ability to apply many of the abstract concepts presented in chemistry is…

A Long-Term Investigation of the Comprehension of OOP Concepts by Novices

ERIC Educational Resources Information Center

Ragonis, Noa; Ben-Ari, Mordechai

2005-01-01

This article describes research on the learning of object-oriented programming (OOP) by novices. During two academic years, we taught OOP to high school students, using Java and BlueJ. Our approach to teaching featured: objects-first, teaching composed classes relatively early, deferring the teaching of main methods, and focusing on class…

Darwin versus Intelligent Design in US Courts: Does Teaching Intelligent Design in Biology Classes Violate the US Constitution?

ERIC Educational Resources Information Center

Bradt, Patricia T.

2006-01-01

Darwinian evolution is accepted by the great majority of scientists as the method by which the diversity of earth's organisms, including humans, evolved. Current research continues to expand our knowledge of evolutionary mechanisms. However, certain religious groups, supporting teaching the creation of earth's species as outlined in Genesis…

Conflicting Pathways to Participation in the FL Classroom: L2 Speech Production vs. L2 Thought Processes

ERIC Educational Resources Information Center

Bernales, Carolina

2016-01-01

Previous research on foreign language classroom participation has shown that oral production has a privileged status compared to less salient forms of participation, such as mental involvement and engagement in class activities. This mixed-methods study presents an alternative look at classroom participation by investigating the relationship…

Motivational Qualities of Hands-on Science Activities for Turkish Preservice Kindergarten Teachers

ERIC Educational Resources Information Center

Bulunuz, Mizrap

2012-01-01

The purpose of this research, conducted in a science methods course in Turkey, was to explore the qualities of hands-on science activities which might motivate preservice kindergarten teachers to use these activities in their own classrooms. Two similar classes totaling 47 students and taught by the same instructor were used in this study. On…

A Transfer Subject: Tracing Boundary-Work and Micro-Transfer in First-Year Composition

ERIC Educational Resources Information Center

Medina, Dylan London

2017-01-01

This dissertation draws on data from a quarter-long case study implementing a number of social science and humanities research methods. This study was conducted at the University of Washington in two sections of First-Year Composition and investigates the boundary-marking interactions that occur in a writing class by tracing the experiences of…

The Use of Creative Projects in a Gross Anatomy Class

ERIC Educational Resources Information Center

Shapiro, Johanna; Nguyen, Vincent; Mourra, Sarah; Ross, Marianne; Thai, Trung; Leonard, Robert

2006-01-01

Introduction: Medical students often describe the gross anatomy course as both stressful and a rite of passage. Research differs as to whether the stress it engenders is significant or transitory. This qualitative study of first year anatomy student reports on the use of optional creative projects to promote reflection and reduce stress. Methods:…

Making Practice Visible: A Collaborative Self-Study of Tiered Teaching in Teacher Education

ERIC Educational Resources Information Center

Garbett, Dawn; Heap, Rena

2011-01-01

In this article we document the impact of tiered teaching on making the complexity of pedagogy transparent when teaching science education to pre-service primary teachers. Teaching science methods classes together and researching our teaching has enabled us to reframe our assumptions and move beyond the simplistic and misleading idea that teacher…

Effects of Two Different Types of Physics Learning on the Results of CLASS Test

ERIC Educational Resources Information Center

Marusic, Mirko; Slisko, Josip

2012-01-01

During a one-semester-long research project with high school students, we deployed and gauged efficiency of two different reform teaching methods: reading, presenting, and questioning (RPQ) and experimenting and discussion (ED). In this paper we report on changes in students' attitudes and beliefs about physics and learning physics. We used the…

Publishing an Article: The Goal for a Graduate Course

ERIC Educational Resources Information Center

Hilke, Michael

2013-01-01

This essay discusses the effectiveness of a graduate course for physics students, with a course goal to write a publishable article on a modern research topic (graphene). I analyze the tools used to this end, which included Web 2.0 methods, in-class discussions and presentations, as well as extensive peer-review. In addition to producing a…

E-Readers and the Effects on Students' Reading Motivation, Attitude, and Comprehension

ERIC Educational Resources Information Center

Long, Deanna

2014-01-01

The purpose of this study was to determine if the use of E-readers during guided reading instruction would affect students' reading motivation, attitude toward reading, and reading comprehension. The study utilized on a quasi-experimental mixed methods research design that involved 35 fifth grade students in two fifth grade reading classes. For 10…

An Interactive Approach to Learning and Teaching in Visual Arts Education

ERIC Educational Resources Information Center

Tomljenovic, Zlata

2015-01-01

The present research focuses on modernising the approach to learning and teaching the visual arts in teaching practice, as well as examining the performance of an interactive approach to learning and teaching in visual arts classes with the use of a combination of general and specific (visual arts) teaching methods. The study uses quantitative…

Practice and Evaluation of Blended Learning with Cross-Cultural Distance Learning in a Foreign Language Class: Using Mix Methods Data Analysis

ERIC Educational Resources Information Center

Sugie, Satoko; Mitsugi, Makoto

2014-01-01

The Information and Communication Technology (ICT) utilization in Chinese as a "second" foreign language has mainly been focused on Learning Management System (LMS), digital material development, and quantitative analysis of learners' grammatical knowledge. There has been little research that has analyzed the effectiveness of…

Comparing Linear and Nonlinear Delivery of Introductory Psychology Lectures: Improving Student Retention

ERIC Educational Resources Information Center

Cramer, Kenneth M.; Sands, Mandy

2016-01-01

As in most disciplines, the typical introductory class presents topics to students in a linear fashion, beginning (to use psychology as an example) with the history of the field, research methods, brain and neurons, sensation and perception, and so on. This study examined the impact of topic sequence on student achievement. The same professor…

Secondary Agricultural Education Teachers as Agents of Change in Oklahoma and the Adoption of Precision Agriculture

ERIC Educational Resources Information Center

Nickeson, Beth

2013-01-01

Research indicates that precision agricultural education (PAE) in Oklahoma affects environmental quality, water conservation, and crop yields. The purpose of this mixed methods study was to explore the nature and perceived effectiveness of PAE in Oklahoma secondary agricultural education classes. The study was framed by the diffusion of…

Meeting the Competitive Challenge: Encouraging the Use of Community College Library Facilities in Rural, Isolated, Northeastern Arizona.

ERIC Educational Resources Information Center

Rothlisberg, Allen P.

This paper describes the approaches taken to improve library service at Northland Pioneer College, a decentralized community college in rural Arizona with learning resource centers at 10 locations in Navaho and Apache counties. Three methods of providing instruction for research papers--class tours of learning resource facilities, presenting guest…

What Are Confidence Judgments Made of? Students' Explanations for Their Confidence Ratings and What that Means for Calibration

ERIC Educational Resources Information Center

Dinsmore, Daniel L.; Parkinson, Meghan M.

2013-01-01

Although calibration has been widely studied, questions remain about how best to capture confidence ratings, how to calculate continuous variable calibration indices, and on what exactly students base their reported confidence ratings. Undergraduates in a research methods class completed a prior knowledge assessment, two sets of readings and…