Effective learning among elite football players: the development of a football-specific self-regulated learning questionnaire.

PubMed

Toering, Tynke; Jordet, Geir; Ripegutu, Anders

2013-01-01

The present study aimed to develop a football-specific self-report instrument measuring self-regulated learning in the context of daily practice, which can be used to monitor the extent to which players take responsibility for their own learning. Development of the instrument involved six steps: 1. Literature review based on Zimmerman's (2006) theory of self-regulated learning, 2. Item generation, 3. Item validation, 4. Pilot studies, 5. Exploratory factor analysis (EFA), and 6. Confirmatory factor analysis (CFA). The instrument was tested for reliability and validity among 204 elite youth football players aged 13-16 years (Mage = 14.6; s = 0.60; 123 boys, 81 girls). The EFA indicated that a five-factor model fitted the observed data best (reflection, evaluation, planning, speaking up, and coaching). However, the CFA showed that a three-factor structure including 22 items produced a satisfactory model fit (reflection, evaluation, and planning; non-normed fit index [NNFI] = 0.96, comparative fit index [CFI] = 0.95, root mean square error of approximation [RMSEA] = 0.067). While the self-regulation processes of reflection, evaluation, and planning are strongly related and fit well into one model, other self-regulated learning processes seem to be more individually determined. In conclusion, the questionnaire developed in this study is considered a reliable and valid instrument to measure self-regulated learning among elite football players.

A Model for Predicting Learning Flow and Achievement in Corporate e-Learning

ERIC Educational Resources Information Center

Joo, Young Ju; Lim, Kyu Yon; Kim, Su Mi

2012-01-01

The primary objective of this study was to investigate the determinants of learning flow and achievement in corporate online training. Self-efficacy, intrinsic value, and test anxiety were selected as learners' motivational factors, while perceived usefulness and ease of use were also selected as learning environmental factors. Learning flow was…

Stacked Multilayer Self-Organizing Map for Background Modeling.

PubMed

Zhao, Zhenjie; Zhang, Xuebo; Fang, Yongchun

2015-09-01

In this paper, a new background modeling method called stacked multilayer self-organizing map background model (SMSOM-BM) is proposed, which presents several merits such as strong representative ability for complex scenarios, easy to use, and so on. In order to enhance the representative ability of the background model and make the parameters learned automatically, the recently developed idea of representative learning (or deep learning) is elegantly employed to extend the existing single-layer self-organizing map background model to a multilayer one (namely, the proposed SMSOM-BM). As a consequence, the SMSOM-BM gains several merits including strong representative ability to learn background model of challenging scenarios, and automatic determination for most network parameters. More specifically, every pixel is modeled by a SMSOM, and spatial consistency is considered at each layer. By introducing a novel over-layer filtering process, we can train the background model layer by layer in an efficient manner. Furthermore, for real-time performance consideration, we have implemented the proposed method using NVIDIA CUDA platform. Comparative experimental results show superior performance of the proposed approach.

Effect of practical training on the learning motivation profile of Japanese pharmacy students using structural equation modeling

PubMed Central

2017-01-01

Purpose To establish a model of Japanese pharmacy students’ learning motivation profile and investigate the effects of pharmaceutical practical training programs on their learning motivation. Methods The Science Motivation Questionnaire II was administered to pharmacy students in their 4th (before practical training), 5th (before practical training at clinical sites), and 6th (after all practical training) years of study at Josai International University in April, 2016. Factor analysis and multiple-group structural equation modeling were conducted for data analysis. Results A total of 165 students participated. The learning motivation profile was modeled with 4 factors (intrinsic, career, self-determination, and grade motivation), and the most effective learning motivation was grade motivation. In the multiple-group analysis, the fit of the model with the data was acceptable, and the estimated mean value of the factor of ‘self-determination’ in the learning motivation profile increased after the practical training programs (P= 0.048, Cohen’s d= 0.43). Conclusion Practical training programs in a 6-year course were effective for increasing learning motivation, based on ‘self-determination’ among Japanese pharmacy students. The results suggest that practical training programs are meaningful not only for providing clinical experience but also for raising learning motivation. PMID:28167812

Career Success: The Effects of Personality.

ERIC Educational Resources Information Center

Lau, Victor P.; Shaffer, Margaret A.

1999-01-01

A model based on Bandura's Social Learning Theory proposes the following personality traits as determinants of career success: locus of control, self-monitoring, self-esteem, and optimism, along with job performance and person-to-environment fit. (SK)

College Students' Motivation and Learning Strategies Profiles and Academic Achievement: A Self-Determination Theory Approach

ERIC Educational Resources Information Center

Liu, Woon Chia; Wang, Chee Keng John; Kee, Ying Hwa; Koh, Caroline; Lim, Boon San Coral; Chua, Lilian

2014-01-01

The development of effective self-regulated learning strategies is of interest to educationalists. In this paper, we examine inherent individual difference in self-regulated learning based on Motivated Learning for Learning Questionnaire (MLSQ) using the cluster analytic approach and examine cluster difference in terms of self-determination theory…

Transfer of Training After an Organizational Intervention in Swedish Sports Clubs: A Self-Determination Theory Perspective.

PubMed

Stenling, Andreas; Tafvelin, Susanne

2016-10-01

Leadership development programs are common in sports, but seldom evaluated; hence, we have limited knowledge about what the participants actually learn and the impact these programs have on sports clubs' daily operations. The purpose of the current study was to integrate a transfer of training model with self-determination theory to understand predictors of learning and training transfer, following a leadership development program among organizational leaders in Swedish sports clubs. Bayesian multilevel path analysis showed that autonomous motivation and an autonomy-supportive implementation of the program positively predicted near transfer (i.e., immediately after the training program) and that perceiving an autonomy-supportive climate in the sports club positively predicted far transfer (i.e., 1 year after the training program). This study extends previous research by integrating a transfer of training model with self-determination theory and identified important motivational factors that predict near and far training transfer.

Developing the Self-Directed Learning Instructional Model to Enhance English Reading Ability and Self-Directed Learning of Undergraduate Students

ERIC Educational Resources Information Center

Wichadee, Saovapa

2011-01-01

The purposes of this study were to develop the instructional model for enhancing self-directed learning skills of Bangkok University students, study the impacts of the model on their English reading comprehension and self-directed learning ability as well as explore their opinion towards self-directed learning. The model development process…

Indentifying Latent Classes and Testing Their Determinants in Early Adolescents' Use of Computers and Internet for Learning

ERIC Educational Resources Information Center

Heo, Gyun

2013-01-01

The purpose of the present study was to identify latent classes resting on early adolescents' change trajectory patterns in using computers and the Internet for learning and to test the effects of gender, self-control, self-esteem, and game use in South Korea. Latent growth mixture modeling (LGMM) was used to identify subpopulations in the Korea…

Psychological Determinants of University Students' Academic Performance: An Empirical Study

ERIC Educational Resources Information Center

Gebka, Bartosz

2014-01-01

This study utilises an integrated conceptual model of academic performance which captures a series of psychological factors: cognitive style; self-theories such as self-esteem and self-efficacy; achievement goals such as mastery, performance, performance avoidance and work avoidance; study-processing strategies such as deep and surface learning;…

Fostering Personal Meaning and Self-Relevance: A Self-Determination Theory Perspective on Internalization

ERIC Educational Resources Information Center

Vansteenkiste, Maarten; Aelterman, Nathalie; De Muynck, Gert-Jan; Haerens, Leen; Patall, Erika; Reeve, Johnmarshall

2018-01-01

Central to self-determination theory (SDT) is the notion that autonomously motivated learning relates to greater learning benefits. While learners' intrinsic motivation has received substantial attention, learners also display volitional learning when they come to endorse the personal meaning or self-relevance of the learning task. In Part I of…

Effects of Multimedia Goal-Setting Instruction on Students' Knowledge of the Self-Determined Learning Model of Instruction and Disruptive Behavior

ERIC Educational Resources Information Center

Mazzotti, Valerie L.; Test, David W.; Wood, Charles L.

2013-01-01

Students at risk for, or with, emotional disturbance during preadolescence struggle to adjust socially, behaviorally, and academically and often make choices about relationships that support problem behaviors. Research suggests explicitly teaching self-determination skills as early as preschool may prevent referral to special education with a…

Predicting Teachers' Use of Digital Learning Materials: Combining Self-Determination Theory and the Integrative Model of Behaviour Prediction

ERIC Educational Resources Information Center

Kreijns, Karel; Vermeulen, Marjan; Van Acker, Frederik; van Buuren, Hans

2014-01-01

In this article, we report on a study that investigated the motivational (e.g. intrinsic motivation) and dispositional variables (e.g. attitudes) that determine teachers' intention to use or not to use digital learning materials (DLMs). To understand the direct and indirect relationships between these variables, we replicated a study in which…

Why Do Chinese College Students Learn ESP: An Analysis of Language Learning Motivations within SDT Framework

ERIC Educational Resources Information Center

Liu, Liangxing

2016-01-01

This study mainly investigates the motivational characteristics of Chinese college students learning English for Specific Purposes (ESP). By critically examining and comparing Gardner's (1985) Integrative-Instrumental model and the Self-determination Theory (SDT) by Deci and Ryan(1985), the researcher finds out that the latter one is more…

The Impact of Taiwanese College Students' Learning Motivation from Self-Determination Perspective on Learning Outcomes: Moderating Roles of Multi-Traits

ERIC Educational Resources Information Center

Ho, Sophia Shi-Huei

2017-01-01

The purpose of this study is to explore the associations among learning motivation, engagement and outcomes, and the moderating role of various traits in the relationship between deep approaches to learning and outcomes. Based on data from 2,340 students in multiple universities in Taiwan, this study proposes two alternative models, tested by…

What No Child Left Behind Leaves Behind: The Roles of IQ and Self-Control in Predicting Standardized Achievement Test Scores and Report Card Grades

PubMed Central

Duckworth, Angela L.; Quinn, Patrick D.; Tsukayama, Eli

2013-01-01

The increasing prominence of standardized testing to assess student learning motivated the current investigation. We propose that standardized achievement test scores assess competencies determined more by intelligence than by self-control, whereas report card grades assess competencies determined more by self-control than by intelligence. In particular, we suggest that intelligence helps students learn and solve problems independent of formal instruction, whereas self-control helps students study, complete homework, and behave positively in the classroom. Two longitudinal, prospective studies of middle school students support predictions from this model. In both samples, IQ predicted changes in standardized achievement test scores over time better than did self-control, whereas self-control predicted changes in report card grades over time better than did IQ. As expected, the effect of self-control on changes in report card grades was mediated in Study 2 by teacher ratings of homework completion and classroom conduct. In a third study, ratings of middle school teachers about the content and purpose of standardized achievement tests and report card grades were consistent with the proposed model. Implications for pedagogy and public policy are discussed. PMID:24072936

The Influence of Self-Efficacy and Self-Regulated Motivation on Civic Learning in Service Learning Courses

ERIC Educational Resources Information Center

Richards, K. Andrew R.; Levesque-Bristol, Chantal

2016-01-01

Service learning can help students to engage in the community while applying lessons learned in their coursework. Using self-determination theory, we evaluated the relationship among self-efficacy, self-regulated motivation, and civic learning in service learning courses. Participants included 242 college students (122 females, 120 males) across…

The effectiveness of collaborative problem based physics learning (CPBPL) model to improve student’s self-confidence on physics learning

NASA Astrophysics Data System (ADS)

Prahani, B. K.; Suprapto, N.; Suliyanah; Lestari, N. A.; Jauhariyah, M. N. R.; Admoko, S.; Wahyuni, S.

2018-03-01

In the previous research, Collaborative Problem Based Physic Learning (CPBPL) model has been developed to improve student’s science process skills, collaborative problem solving, and self-confidence on physics learning. This research is aimed to analyze the effectiveness of CPBPL model towards the improvement of student’s self-confidence on physics learning. This research implemented quasi experimental design on 140 senior high school students who were divided into 4 groups. Data collection was conducted through questionnaire, observation, and interview. Self-confidence measurement was conducted through Self-Confidence Evaluation Sheet (SCES). The data was analyzed using Wilcoxon test, n-gain, and Kruskal Wallis test. Result shows that: (1) There is a significant score improvement on student’s self-confidence on physics learning (α=5%), (2) n-gain value student’s self-confidence on physics learning is high, and (3) n-gain average student’s self-confidence on physics learning was consistent throughout all groups. It can be concluded that CPBPL model is effective to improve student’s self-confidence on physics learning.

Examining Self-Determination in a Service Learning Course

ERIC Educational Resources Information Center

Levesque-Bristol, Chantal; Stanek, Layla R.

2009-01-01

This article examines students' perceptions of the learning environment in a service learning research course and increases in student motivation and skill development. According to self-determination theory (Deci & Ryan, 1985), positive learning environments increase levels of student motivation and learning outcomes. Survey responses…

Freshman Learning Communities, College Performance, and Retention. Working Paper 2005-22

ERIC Educational Resources Information Center

Hotchkiss, Julie L.; Moore, Robert E.; Pitts, M. Melinda

2005-01-01

This paper applies a standard treatment effects model to determine that participation in Freshman Learning Communities (FLCs) improves academic performance and retention. Not controlling for individual self-selection into FLC participation leads one to incorrectly conclude that the impact is the same across race and gender groups. Accurately…

Outside-school physical activity participation and motivation in physical education.

PubMed

Shen, Bo

2014-03-01

Experience in non-school contexts can shape and reshape students' motivation and mediate their learning in school. Outside-school physical activity may provide students with an extensive cognitive and affective foundation and influence their motivation in physical education. Although a trans-contextual effect of physical education has been explored, very little empirical research has examined the impact from outside-school context to physical education. Using self-determination theory and a hierarchical model of motivation, this study was designed to examine the association between participation in organized outside-school physical activity programmes and self-determination process in physical education. Participants included 545 9th graders (305 males and 240 females, age range = 14-16 years, mean age = 14.66 years) enrolled in required physical education classes in three suburban high schools in a large Midwest metropolitan area in the United States. Self-determination variables were measured using relevant instruments, and information on organized outside-school physical activity experiences was gathered in a survey. Structural equation modelling analyses were conducted. Students who participated in organized outside-school physical activity programmes displayed overall higher motivation; however, the strength of associations among the self-determination variables (i.e., pathways from perceived autonomy support to relatedness, from autonomy to competence, and from self-determined motivation to in-class physical activity engagement) was stronger for their non-participant counterparts. There are dynamic relationships between participation in organized outside-school physical activity programmes and self-determination process in physical education. Physical educators need to identify, appreciate, and instructionally address individual students' differences during teaching and learning. © 2012 The British Psychological Society.

The Relationship between Self-Determination, Achievement Goal Orientation and Satisfaction with the Learning Experience: Working with Adult Lifelong Learners

ERIC Educational Resources Information Center

Rodd, Jane

2013-01-01

This exploratory study investigated how self-perceptions of self-determination and of achievement goal orientation were related to self-perceptions of satisfaction with the learning experience in a population of 495 adults engaged in non-formal lifelong learning through participation as amateur members of the United States Dressage Association.…

Novel associative-memory-based self-learning neurocontrol model

NASA Astrophysics Data System (ADS)

Chen, Ke

1992-09-01

Intelligent control is an important field of AI application, which is closely related to machine learning, and the neurocontrol is a kind of intelligent control that controls actions of a physical system or a plant. Linear associative memory model is a good analytic tool for artificial neural networks. In this paper, we present a novel self-learning neurocontrol on the basis of the linear associative memory model to support intelligent control. Using our self-learning neurocontrol model, the learning process is viewed as an extension of one of J. Piaget's developmental stages. After a particular linear associative model developed by us is presented, a brief introduction to J. Piaget's cognitive theory is described as the basis of our self-learning style control. It follows that the neurocontrol model is presented, which usually includes two learning stages, viz. primary learning and high-level learning. As a demonstration of our neurocontrol model, an example is also presented with simulation techniques, called that `bird' catches an aim. The tentative experimental results show that the learning and controlling performance of this approach is surprisingly good. In conclusion, future research is pointed out to improve our self-learning neurocontrol model and explore other areas of application.

Changes in self-reported driving intentions and attitudes while learning to drive in Great Britain.

PubMed

Helman, S; Kinnear, N A D; McKenna, F P; Allsop, R E; Horswill, M S

2013-10-01

Novice drivers are overrepresented in traffic collisions, especially in their first year of solo driving. It is widely accepted that some driving behaviours (such as speeding and thrill-seeking) increase risk in this group. Increasingly research is suggesting that attitudes and behavioural intentions held in the pre-driver and learning stage are important in determining later driver behaviour in solo driving. In this study we examine changes in several self-reported attitudes and behavioural intentions across the learning stage in a sample of learner drivers in Great Britain. A sample of 204 learner drivers completed a self-report questionnaire near the beginning of their learning, and then again shortly after they passed their practical driving test. Results showed that self-reported intentions regarding speed choice, perceptions regarding skill level, and intentions regarding thrill-seeking (through driving) became less safe over this time period, while self-reported intentions regarding following distance and overtaking tendency became safer. The results are discussed with reference to models of driver behaviour that focus on task difficulty; it is suggested that the manner in which behind-the-wheel experience relates to the risk measures of interest may be the key determining factor in how these change over the course of learning to drive. Crown Copyright © 2013. Published by Elsevier Ltd. All rights reserved.

Pattern classification and recognition of invertebrate functional groups using self-organizing neural networks.

PubMed

Zhang, WenJun

2007-07-01

Self-organizing neural networks can be used to mimic non-linear systems. The main objective of this study is to make pattern classification and recognition on sampling information using two self-organizing neural network models. Invertebrate functional groups sampled in the irrigated rice field were classified and recognized using one-dimensional self-organizing map and self-organizing competitive learning neural networks. Comparisons between neural network models, distance (similarity) measures, and number of neurons were conducted. The results showed that self-organizing map and self-organizing competitive learning neural network models were effective in pattern classification and recognition of sampling information. Overall the performance of one-dimensional self-organizing map neural network was better than self-organizing competitive learning neural network. The number of neurons could determine the number of classes in the classification. Different neural network models with various distance (similarity) measures yielded similar classifications. Some differences, dependent upon the specific network structure, would be found. The pattern of an unrecognized functional group was recognized with the self-organizing neural network. A relative consistent classification indicated that the following invertebrate functional groups, terrestrial blood sucker; terrestrial flyer; tourist (nonpredatory species with no known functional role other than as prey in ecosystem); gall former; collector (gather, deposit feeder); predator and parasitoid; leaf miner; idiobiont (acarine ectoparasitoid), were classified into the same group, and the following invertebrate functional groups, external plant feeder; terrestrial crawler, walker, jumper or hunter; neustonic (water surface) swimmer (semi-aquatic), were classified into another group. It was concluded that reliable conclusions could be drawn from comparisons of different neural network models that use different distance (similarity) measures. Results with the larger consistency will be more reliable.

The impact of the learning contract on self-directed learning and satisfaction in nursing students in a clinical setting.

PubMed

Sajadi, Mahboobeh; Fayazi, Neda; Fournier, Andrew; Abedi, Ahmad Reza

2017-01-01

Background: The most important responsibilities of an education system are to create self-directed learning opportunities and develop the required skills for taking the responsibility for change. The present study aimed at determining the impact of a learning contract on self-directed learning and satisfaction of nursing students. Methods: A total of 59 nursing students participated in this experimental study. They were divided into six 10-member groups. To control the communications among the groups, the first 3 groups were trained using conventional learning methods and the second 3 groups using learning contract method. In the first session, a pretest was performed based on educational objectives. At the end of the training, the students in each group completed the questionnaires of self-directed learning and satisfaction. The results of descriptive and inferential statistical methods (dependent and independent t tests) were presented using SPSS. Results: There were no significant differences between the 2 groups in gender, grade point average of previous years, and interest toward nursing. However, the results revealed a significant difference between the 2 groups in the total score of self-directed learning (p= 0.019). Although the mean satisfaction score was higher in the intervention group, the difference was not statistically significant. Conclusion: This study suggested that the use of learning contract method in clinical settings enhances self-directed learning among nursing students. Because this model focuses on individual differences, the researcher highly recommends the application of this new method to educators.

An implementation of 7E Learning Cycle Model to Improve Student Self-esteem

NASA Astrophysics Data System (ADS)

Firdaus, F.; Priatna, N.; Suhendra, S.

2017-09-01

One of the affective factors that affect student learning outcomes is student self-esteem in mathematics, learning achievement and self-esteem influence each other. The purpose of this research is to know whether self-esteem students who get 7E learning cycle model is better than students who get conventional learning. This research method is a non-control group design. Based on the results obtained that the normal and homogeneous data so that the t test and from the test results showed there are significant differences in self-esteem students learning with 7E learning cycle model compared with students who get conventional learning. The implications of the results of this study are that students should be required to conduct many discussions, presentations and evaluations on classroom activities as these learning stages can improve students’ self-esteem especially pride in the results achieved.

A social learning perspective: a model of parenting styles, self-regulation, perceived drinking control, and alcohol use and problems.

PubMed

Patock-Peckham, J A; Cheong, J; Balhorn, M E; Nagoshi, C T

2001-09-01

This investigation sought to determine how different parenting styles are related to general self-regulatory processes that are linked to alcohol use and abuse. Self-regulation and, more specifically, thoughts of control over drinking are forms of positive self-control mechanisms. Parenting styles are known determinants of both negative and positive self-control mechanisms in offspring. According to social learning theory, stronger relationships between parenting style and self-regulatory processes would be expected from the parent who is the same sex as the respondent. A total of 144 female and 107 male college students currently using alcohol were administered a questionnaire on their alcohol use and problems, perceived style of parenting (authoritarian, permissive, or authoritative) of their parents, self-regulation, and perceived control of drinking. A model linking parenting styles, self-regulatory processes, and control over drinking with alcohol use and alcohol problems was tested across sex groups by using structural equation modeling. In general, the parenting style of the parent of the same sex as the respondent's was found to be significantly related to self-regulation, which is known to be protective against alcohol use and abuse. A permissive parent of the same sex as the respondent was negatively associated with good self-regulatory processes for both men and women. Having an authoritative mother was also shown to be related to higher levels of self-regulation for women. Self-regulation mediated the pathway from a permissive parenting style to perceived drinking control, which, in turn, mediated the pathway from self-regulation to alcohol use and problems. Finally, self-regulation mediated the positive pathway from an authoritative mother to perceived control over drinking for women.

Cognitive Modeling and Self-Regulation of Learning in Instructional Settings

ERIC Educational Resources Information Center

White, Marie C.

2017-01-01

Self-regulation of cognition and behavior is an important aspect of student learning and academic performance in the 21st-century classroom. The purpose of the chapter is to present how an integrated framework of cyclical phases and developmental levels of self-regulated learning play a significant role in modeling and self-regulatory learning as…

Proposing a Model of Co-Regulated Learning for Graduate Medical Education.

PubMed

Rich, Jessica V

2017-08-01

Primarily grounded in Zimmerman's social cognitive model of self-regulation, graduate medical education is guided by principles that self-regulated learning takes place within social context and influence, and that the social context and physical environment reciprocally influence persons and their cognition, behavior, and development. However, contemporary perspectives on self-regulation are moving beyond Zimmerman's triadic reciprocal orientation to models that consider social transactions as the central core of regulated learning. Such co-regulated learning models emphasize shared control of learning and the role more advanced others play in scaffolding novices' metacognitive engagement.Models of co-regulated learning describe social transactions as periods of distributed regulation among individuals, which instrumentally promote or inhibit the capacity for individuals to independently self-regulate. Social transactions with other regulators, including attending physicians, more experienced residents, and allied health care professionals, are known to mediate residents' learning and to support or hamper the development of their self-regulated learning competence. Given that social transactions are at the heart of learning-oriented assessment and entrustment decisions, an appreciation for co-regulated learning is likely important for advancing medical education research and practice-especially given the momentum of new innovations such as entrustable professional activities.In this article, the author explains why graduate medical educators should consider adopting a model of co-regulated learning to complement and extend Zimmerman's models of self-regulated learning. In doing so, the author suggests a model of co-regulated learning and provides practical examples of how the model is relevant to graduate medical education research and practice.

Analysis student self efficacy in terms of using Discovery Learning model with SAVI approach

NASA Astrophysics Data System (ADS)

Sahara, Rifki; Mardiyana, S., Dewi Retno Sari

2017-12-01

Often students are unable to prove their academic achievement optimally according to their abilities. One reason is that they often feel unsure that they are capable of completing the tasks assigned to them. For students, such beliefs are necessary. The term belief has called self efficacy. Self efficacy is not something that has brought about by birth or something with permanent quality of an individual, but is the result of cognitive processes, the meaning one's self efficacy will be stimulated through learning activities. Self efficacy has developed and enhanced by a learning model that can stimulate students to foster confidence in their capabilities. One of them is by using Discovery Learning model with SAVI approach. Discovery Learning model with SAVI approach is one of learning models that involves the active participation of students in exploring and discovering their own knowledge and using it in problem solving by utilizing all the sensory devices they have. This naturalistic qualitative research aims to analyze student self efficacy in terms of use the Discovery Learning model with SAVI approach. The subjects of this study are 30 students focused on eight students who have high, medium, and low self efficacy obtained through purposive sampling technique. The data analysis of this research used three stages, that were reducing, displaying, and getting conclusion of the data. Based on the results of data analysis, it was concluded that the self efficacy appeared dominantly on the learning by using Discovery Learning model with SAVI approach is magnitude dimension.

Self-Determination, Engagement, and Identity in Learning German: Some Directions in the Psychology of Language Learning Motivation

ERIC Educational Resources Information Center

Noels, Kimberly A.; Chaffee, Kathryn; Lou, Nigel Mantou; Dincer, Ali

2016-01-01

Drawing from Self-Determination Theory and diverse theories of language learning motivation, we present a framework that (1) represents a range of orientations that students may take towards learning German, and (2) explains how these orientations are connected to language learning engagement and diverse linguistic and non-linguistic outcomes. We…

The effect of active learning on college students' achievement, motivation, and self-efficacy in a human physiology course for non-majors

NASA Astrophysics Data System (ADS)

Wilke, Roger Russell

2000-10-01

This study investigated the effects active learning strategies had on college students' achievement, motivation, and self-efficacy, in a human physiology course for non-majors. A continuum-based active learning instructional model was implemented over the course of a semester to assess the effects on the variables and specific student outcomes of learning mentioned above. In addition analyses were conducted to explore what learner characteristics contributed to the successful implementation of the model such as students' gender, classification, major, grade point average, ACT and SAT scores, motivation, and self-efficacy. A quasi-experimental, Solomon-4 Group design was undertaken on 171 students in a small west-Texas university. Treatment groups were taught using the model while controls were taught using traditional lecture methods. Students were administered a comprehensive physiology content exam, sections of the Motivated Strategies for Learning Questionnaire, and attitude surveys to assess the effects of the continuum-based active learning strategies. Factorial analyses indicated the treatment group acquired significantly more content knowledge and were significantly more self-efficacious than students in the control group. There were no significant differences in motivation. Factorial and modified regression analyses in the aptitude by treatment interaction exploration determined that males in the treatment group performed significantly better on the comprehensive physiology content exam versus males in the control group. While females performed better overall than males, there were no significant differences in achievement between females in the treatment group and those in the control. No significant interactions were found for the other learner characteristics. The results also indicated that students' general cognitive ability as measured by their grade point average, ACT, and SAT scores and their self-efficacy contributed significantly to their achievement. Attitude surveys indicated that students in both the treatment and control groups demonstrated a positive attitude toward active learning, believed it helped them to learn the material, and would choose an active learning course in the future if given the opportunity. This study demonstrated that continuum-based active learning strategies used in this context, improved students' content acquisition and self-efficacy and had wide applicability with a number of learner characteristics.

Development of the PRO-SDLS: A Measure of Self-Direction in Learning Based on the Personal Responsibility Orientation Model

ERIC Educational Resources Information Center

Stockdale, Susan L.; Brockett, Ralph G.

2011-01-01

The purpose of this study was to develop a reliable and valid instrument to measure self-directedness in learning among college students based on an operationalization of the personal responsibility orientation (PRO) model of self-direction in learning. The resultant 25-item Personal Responsibility Orientation to Self-Direction in Learning Scale…

What Makes a Good Student? How Emotions, Self-Regulated Learning, and Motivation Contribute to Academic Achievement

ERIC Educational Resources Information Center

Mega, Carolina; Ronconi, Lucia; De Beni, Rossana

2014-01-01

The authors propose a theoretical model linking emotions, self-regulated learning, and motivation to academic achievement. This model was tested with 5,805 undergraduate students. They completed the Self-Regulated Learning, Emotions, and Motivation Computerized Battery (LEM-B) composed of 3 self-report questionnaires: the Self-Regulated Learning…

Self-Directed Learning in the Process of Work: Conceptual Considerations--Empirical Evidences.

ERIC Educational Resources Information Center

Straka, Gerald A.; Schaefer, Cornelia

With reference to the literature on adult self-directed learning, a model termed the "Two-Shell Model of Motivated Self-Directed Learning" was formulated that differentiates sociohistorical environmental conditions, internal conditions, and activities related to four concepts (interest, learning strategies, control, and evaluation). The…

Change at Work and Professional Learning: How Readiness to Change, Self-Determination and Personal Initiative Affect Individual Learning through Reflection

ERIC Educational Resources Information Center

Hetzner, Stefanie; Heid, Helmut; Gruber, Hans

2012-01-01

Reflection offers an important means to learn effectively from changes induced by the workplace. The authors examined readiness to change and work-related self-determination as preconditions for reflection at work and expected personal initiative--defined as "self-starting" and "proactive behaviour"--to have a mediating effect. The study tested…

Spoken language identification based on the enhanced self-adjusting extreme learning machine approach.

PubMed

Albadr, Musatafa Abbas Abbood; Tiun, Sabrina; Al-Dhief, Fahad Taha; Sammour, Mahmoud A M

2018-01-01

Spoken Language Identification (LID) is the process of determining and classifying natural language from a given content and dataset. Typically, data must be processed to extract useful features to perform LID. The extracting features for LID, based on literature, is a mature process where the standard features for LID have already been developed using Mel-Frequency Cepstral Coefficients (MFCC), Shifted Delta Cepstral (SDC), the Gaussian Mixture Model (GMM) and ending with the i-vector based framework. However, the process of learning based on extract features remains to be improved (i.e. optimised) to capture all embedded knowledge on the extracted features. The Extreme Learning Machine (ELM) is an effective learning model used to perform classification and regression analysis and is extremely useful to train a single hidden layer neural network. Nevertheless, the learning process of this model is not entirely effective (i.e. optimised) due to the random selection of weights within the input hidden layer. In this study, the ELM is selected as a learning model for LID based on standard feature extraction. One of the optimisation approaches of ELM, the Self-Adjusting Extreme Learning Machine (SA-ELM) is selected as the benchmark and improved by altering the selection phase of the optimisation process. The selection process is performed incorporating both the Split-Ratio and K-Tournament methods, the improved SA-ELM is named Enhanced Self-Adjusting Extreme Learning Machine (ESA-ELM). The results are generated based on LID with the datasets created from eight different languages. The results of the study showed excellent superiority relating to the performance of the Enhanced Self-Adjusting Extreme Learning Machine LID (ESA-ELM LID) compared with the SA-ELM LID, with ESA-ELM LID achieving an accuracy of 96.25%, as compared to the accuracy of SA-ELM LID of only 95.00%.

Spoken language identification based on the enhanced self-adjusting extreme learning machine approach

PubMed Central

Tiun, Sabrina; AL-Dhief, Fahad Taha; Sammour, Mahmoud A. M.

2018-01-01

Spoken Language Identification (LID) is the process of determining and classifying natural language from a given content and dataset. Typically, data must be processed to extract useful features to perform LID. The extracting features for LID, based on literature, is a mature process where the standard features for LID have already been developed using Mel-Frequency Cepstral Coefficients (MFCC), Shifted Delta Cepstral (SDC), the Gaussian Mixture Model (GMM) and ending with the i-vector based framework. However, the process of learning based on extract features remains to be improved (i.e. optimised) to capture all embedded knowledge on the extracted features. The Extreme Learning Machine (ELM) is an effective learning model used to perform classification and regression analysis and is extremely useful to train a single hidden layer neural network. Nevertheless, the learning process of this model is not entirely effective (i.e. optimised) due to the random selection of weights within the input hidden layer. In this study, the ELM is selected as a learning model for LID based on standard feature extraction. One of the optimisation approaches of ELM, the Self-Adjusting Extreme Learning Machine (SA-ELM) is selected as the benchmark and improved by altering the selection phase of the optimisation process. The selection process is performed incorporating both the Split-Ratio and K-Tournament methods, the improved SA-ELM is named Enhanced Self-Adjusting Extreme Learning Machine (ESA-ELM). The results are generated based on LID with the datasets created from eight different languages. The results of the study showed excellent superiority relating to the performance of the Enhanced Self-Adjusting Extreme Learning Machine LID (ESA-ELM LID) compared with the SA-ELM LID, with ESA-ELM LID achieving an accuracy of 96.25%, as compared to the accuracy of SA-ELM LID of only 95.00%. PMID:29672546

Determinants of Computer Self-Efficacy--An Examination of Learning Motivations and Learning Environments

ERIC Educational Resources Information Center

Hsu, Wen-Kai K.; Huang, Show-Hui S.

2006-01-01

The purpose of this article is to discuss determinants of computer self-efficacy from the perspective of participant internal learning motivations and external learning environments. The former consisted of three motivations--interest, trend, and employment--while the latter comprised two environments--home and school. Through an intermediate…

The Effects of Self-Determination on Learning Outcomes in a Blended Learning

ERIC Educational Resources Information Center

Joo, Young Ju; Lim, Kyu Yon; Han, Sang Yoon; Ham, Yoo Kyoung; Kang, Aran

2013-01-01

The purpose of the paper is to examine whether the sub-constructs of self-determination, that is, learners' perceived level of autonomy, competence, and relatedness, predict learning flow, persistence, and achievement in a blended learning context. Participants are 102 adult learners who voluntarily registered for a Chinese language learning…

Perspectives of Youth in Foster Care on Essential Ingredients for Promoting Self-determination and Successful Transition to Adult Life: My Life Model.

PubMed

Powers, Laurie E; Fullerton, Ann; Schmidt, Jessica; Geenen, Sarah; Oberweiser-Kennedy, Molly; Dohn, JoAnn; Nelson, May; Iavanditti, Rosemary; Blakeslee, Jennifer

2018-02-01

Research clearly documents the serious challenges and poor outcomes experienced by many young people exiting foster care, as well as compounded disparities for the high percentage of youth in care who are identified with disabilities and/or mental health challenges. However, very little research has been conducted to specify or validate effective models for improving the transition trajectories of youth exiting care. Evidence suggests the My Life self-determination enhancement model offers a promising approach for supporting youths' self-determined and positive transition to adulthood. The model includes youth-directed, experientially oriented coaching in the application of self-determination skills to achieve youth-identified transition goals, coupled with peer mentoring workshops that provide opportunities for learning, networking and fun. This in depth qualitative study of 10 youth who completed the My Life intervention focused on investigating coaching and mentoring elements and processes that youth participants identify as most important to their success, with the intention of informing the further development of youth-directed approaches to supporting young people who are transitioning to adulthood. Themes emerged around the centrality of youth self-direction, important processes in the coaching relationship, the essential value of experiential activities and self-determination skill development, and peer mentoring experiences that youth identified as fostering their success. Implications are discussed for research and practice in supporting youth exiting foster care.

Students' Task Interpretation and Conceptual Understanding in an Electronics Laboratory

ERIC Educational Resources Information Center

Rivera-Reyes, Presentacion; Lawanto, Oenardi; Pate, Michael L.

2017-01-01

Task interpretation is a critical first step for students in the process of self-regulated learning, and a key determinant when they set goals in their learning and select strategies in assigned work. This paper focuses on the explicit and implicit aspects of task interpretation based on Hadwin's model. Laboratory activities improve students'…

Self-supervised ARTMAP.

PubMed

Amis, Gregory P; Carpenter, Gail A

2010-03-01

Computational models of learning typically train on labeled input patterns (supervised learning), unlabeled input patterns (unsupervised learning), or a combination of the two (semi-supervised learning). In each case input patterns have a fixed number of features throughout training and testing. Human and machine learning contexts present additional opportunities for expanding incomplete knowledge from formal training, via self-directed learning that incorporates features not previously experienced. This article defines a new self-supervised learning paradigm to address these richer learning contexts, introducing a neural network called self-supervised ARTMAP. Self-supervised learning integrates knowledge from a teacher (labeled patterns with some features), knowledge from the environment (unlabeled patterns with more features), and knowledge from internal model activation (self-labeled patterns). Self-supervised ARTMAP learns about novel features from unlabeled patterns without destroying partial knowledge previously acquired from labeled patterns. A category selection function bases system predictions on known features, and distributed network activation scales unlabeled learning to prediction confidence. Slow distributed learning on unlabeled patterns focuses on novel features and confident predictions, defining classification boundaries that were ambiguous in the labeled patterns. Self-supervised ARTMAP improves test accuracy on illustrative low-dimensional problems and on high-dimensional benchmarks. Model code and benchmark data are available from: http://techlab.eu.edu/SSART/. Copyright 2009 Elsevier Ltd. All rights reserved.

Decision-Making in Elementary School-Age Children: Effects Upon Motor Learning and Self-Concept Development.

ERIC Educational Resources Information Center

Lydon, Mary C.; Cheffers, John T. F.

1984-01-01

This article reports on a study that sought to determine the effects of variable decision-making teaching models upon the development of body coordination and self-concept of elementary school children. Results indicated that level of motor skill achievement was maintained when students were given decision-making responsibility. (Author/DF)

High School Students' Epistemological Beliefs, Conceptions of Learning, and Self-Efficacy for Learning Biology: A Study of Their Structural Models

ERIC Educational Resources Information Center

Sadi, Özlem; Dagyar, Miray

2015-01-01

The current work reveals the data of the study which examines the relationships among epistemological beliefs, conceptions of learning, and self-efficacy for biology learning with the help of the Structural Equation Modeling. Three questionnaires, the Epistemological Beliefs, the Conceptions of Learning Biology and the Self-efficacy for Learning…

Garrison's model of self-directed learning: preliminary validation and relationship to academic achievement.

PubMed

Abd-El-Fattah, Sabry M

2010-11-01

In this project, 119 undergraduates responded to a questionnaire tapping three psychological constructs implicated in Garrison's model of self-directed learning: self-management, self-monitoring, and motivation. Mediation analyses showed that these psychological constructs are interrelated and that motivation mediates the relationship between self-management and self-monitoring. Path modeling analyses revealed that self-management and self-monitoring significantly predicted academic achievement over two semesters with self-management being the strongest predictor. Motivation significantly predicted academic achievement over the second semester only. Implications of these findings for self-directed learning and academic achievement in a traditional classroom setting are discussed.

The influence of extracurricular activities on middle school students' science learning in China

NASA Astrophysics Data System (ADS)

Zhang, Danhui; Tang, Xing

2017-07-01

Informal science learning has been found to have effects on students' science learning. Through the use of secondary data from a national assessment of 7410 middle school students in China, this study explores the relationship among five types of extracurricular science activities, learning interests, academic self-concept, and science achievement. Structural equation modelling was used to investigate the influence of students' self-chosen and school-organised extracurricular activities on science achievement through mediating interests and the academic self-concept. Chi-square tests were used to determine whether there was an opportunity gap in the student's engagement in extracurricular activities. The students' volunteer and school-organised participation in extracurricular science activities had a positive and indirect influence on their science achievement through the mediating variables of their learning interests and academic self-concept. However, there were opportunity gaps between different groups of students in terms of school location, family background, and especially the mother's education level. Students from urban areas with better-educated mothers or higher socioeconomic status are more likely to access diverse science-related extracurricular activities.

A Competence-Based Service for Supporting Self-Regulated Learning in Virtual Environments

ERIC Educational Resources Information Center

Nussbaumer, Alexander; Hillemann, Eva-Catherine; Gütl, Christian; Albert, Dietrich

2015-01-01

This paper presents a conceptual approach and a Web-based service that aim at supporting self-regulated learning in virtual environments. The conceptual approach consists of four components: 1) a self-regulated learning model for supporting a learner-centred learning process, 2) a psychological model for facilitating competence-based…

Measuring Self-Regulation in Self-Paced Open and Distance Learning Environments

ERIC Educational Resources Information Center

Kocdar, Serpil; Karadeniz, Abdulkadir; Bozkurt, Aras; Buyuk, Koksal

2018-01-01

Previous studies have described many scales for measuring self-regulation; however, no scale has been developed specifically for self-paced open and distance learning environments. Therefore, the aim of this study is to develop a scale for determining the self-regulated learning skills of distance learners in selfpaced open and distance learning…

Self-Determined Learning to Motivate Struggling Learners in Reading and Writing

ERIC Educational Resources Information Center

Wehmeyer, Michael L.; Shogren, Karrie A.; Toste, Jessica R.; Mahal, Stephanie

2017-01-01

Promoting self-determined learning through student-directed learning strategies has been documented to promote more positive school-related outcomes for upper elementary grade learners with disabilities and other students who are struggling. These strategies are typically introduced in multicomponent interventions combining several…

When high achievers and low achievers work in the same group: the roles of group heterogeneity and processes in project-based learning.

PubMed

Cheng, Rebecca Wing-yi; Lam, Shui-fong; Chan, Joanne Chung-yan

2008-06-01

There has been an ongoing debate about the inconsistent effects of heterogeneous ability grouping on students in small group work such as project-based learning. The present research investigated the roles of group heterogeneity and processes in project-based learning. At the student level, we examined the interaction effect between students' within-group achievement and group processes on their self- and collective efficacy. At the group level, we examined how group heterogeneity was associated with the average self- and collective efficacy reported by the groups. The participants were 1,921 Hong Kong secondary students in 367 project-based learning groups. Student achievement was determined by school examination marks. Group processes, self-efficacy and collective efficacy were measured by a student-report questionnaire. Hierarchical linear modelling was used to analyse the nested data. When individual students in each group were taken as the unit of analysis, results indicated an interaction effect of group processes and students' within-group achievement on the discrepancy between collective- and self-efficacy. When compared with low achievers, high achievers reported lower collective efficacy than self-efficacy when group processes were of low quality. However, both low and high achievers reported higher collective efficacy than self-efficacy when group processes were of high quality. With 367 groups taken as the unit of analysis, the results showed that group heterogeneity, group gender composition and group size were not related to the discrepancy between collective- and self-efficacy reported by the students. Group heterogeneity was not a determinant factor in students' learning efficacy. Instead, the quality of group processes played a pivotal role because both high and low achievers were able to benefit when group processes were of high quality.

Toward the development of a motivational model of pain self-management.

PubMed

Jensen, Mark P; Nielson, Warren R; Kerns, Robert D

2003-11-01

Adaptive management of chronic pain depends to a large degree on how patients choose to cope with pain and its impact. Consequently, patient motivation is an important factor in determining how well patients learn to manage pain. However, the role of patient motivation in altering coping behavior and maintaining those changes is seldom discussed, and theoretically based research on motivation for pain treatment is lacking. This article reviews theories that have a direct application to understanding motivational issues in pain coping and presents a preliminary motivational model of pain self-management. The implications of this model for enhancing engagement in and adherence to chronic pain treatment programs are then discussed. The article ends with a call for research to better understand motivation as it applies to chronic pain self-management. In particular, there is a need to determine whether (and which) motivation enhancement interventions increase active participation in self-management treatment programs for chronic pain.

The relationship between mathematical problem-solving skills and self-regulated learning through homework behaviours, motivation, and metacognition

NASA Astrophysics Data System (ADS)

Çiğdem Özcan, Zeynep

2016-04-01

Studies highlight that using appropriate strategies during problem solving is important to improve problem-solving skills and draw attention to the fact that using these skills is an important part of students' self-regulated learning ability. Studies on this matter view the self-regulated learning ability as key to improving problem-solving skills. The aim of this study is to investigate the relationship between mathematical problem-solving skills and the three dimensions of self-regulated learning (motivation, metacognition, and behaviour), and whether this relationship is of a predictive nature. The sample of this study consists of 323 students from two public secondary schools in Istanbul. In this study, the mathematics homework behaviour scale was administered to measure students' homework behaviours. For metacognition measurements, the mathematics metacognition skills test for students was administered to measure offline mathematical metacognitive skills, and the metacognitive experience scale was used to measure the online mathematical metacognitive experience. The internal and external motivational scales used in the Programme for International Student Assessment (PISA) test were administered to measure motivation. A hierarchic regression analysis was conducted to determine the relationship between the dependent and independent variables in the study. Based on the findings, a model was formed in which 24% of the total variance in students' mathematical problem-solving skills is explained by the three sub-dimensions of the self-regulated learning model: internal motivation (13%), willingness to do homework (7%), and post-problem retrospective metacognitive experience (4%).

Web Interface Design Principles for Adults' Self-Directed Learning

ERIC Educational Resources Information Center

Firat, Mehmet; Sakar, A. Nurhan; Kabakci Yurdakul, Isil

2016-01-01

One of the most important features which e-learning tools and environments must possess within the scope of lifelong learning is self-directed learning, which can be considered as a form of self-learning. The aim of this study was to determine, based on the views and recommendations of experts, interface design principles for the development of…

Designing On-Demand Education for Simultaneous Development of Domain-Specific and Self-Directed Learning Skills

ERIC Educational Resources Information Center

Taminiau, E. M. C.; Kester, L.; Corbalan, G.; Spector, J. M.; Kirschner, P. A.; Van Merriënboer, J. J. G.

2015-01-01

On-demand education enables individual learners to choose their learning pathways according to their own learning needs. They must use self-directed learning (SDL) skills involving self-assessment and task selection to determine appropriate pathways for learning. Learners who lack these skills must develop them because SDL skills are prerequisite…

Interactions of Metacognition with Motivation and Affect in Self-Regulated Learning: The MASRL Model

ERIC Educational Resources Information Center

Efklides, Anastasia

2011-01-01

Metacognition, motivation, and affect are components of self-regulated learning (SRL) that interact. The "metacognitive and affective model of self-regulated learning" (the MASRL model) distinguishes two levels of functioning in SRL, namely, the Person level and the Task x Person level. At the Person level interactions between trait-like…

A World of Information at Their Fingertips: College Students' Motivations and Practices in Their Self-Determined Information Seeking

ERIC Educational Resources Information Center

Nadelson, Louis S.; Sias, Christina M.; Matyi, Joshua; Morris, Sterling R.; Cain, Ryan; Cromwell, Matthew; Lund, Emily M.; Furse, Joseph; Hofmannova, Adela; Johnson, McKenzie; Seegmiller, Janiece; Xie, Tianyi

2016-01-01

People frequently engage in the process of "heutagogy" (i.e., self-determined learning). Unlike pedagogy and andragogy, heutagogy occurs without a structure or leader setting the context and directing the learning toward a specific goal. The lack of structure and the possible self-determination of topic, value, source, and trust in…

Decentering Self in Leadership: Putting Community at the Center in Leadership Studies.

PubMed

Hartman, Eric

2016-06-01

Although students' personal passions typically determine the issue addressed by service-learning leadership initiatives, this chapter advocates for a community-centered alternative. This in-depth exploration of a leadership development course series models a community-need driven project and explores the benefits for both community and student learning. © 2016 Wiley Periodicals, Inc., A Wiley Company.

Measuring self-reported studying and learning for university students: linking attitudes and behaviours on the same scale.

PubMed

Waugh, Russell F

2002-12-01

The relationships between self-reported Approaches to Studying and Self-concept, Self-capability and Studying and Learning Behaviour are usually studied by measuring the variables separately (using factor analysis and Cronbach Alphas) and then using various correlation techniques (such as multiple regression and path analysis). This procedure has measurement problems and is called into question. To create a single scale of Studying and Learning using a model with subsets of ordered stem-items based on a Deep Approach, a Surface Approach and a Strategic Approach, integrated with three self-reported aspects (an Ideal Self-view, a Capability Self-view and a Studying and Learning Behaviour Self-view). The stem-item sample was 33, all answered in three aspects, that produced an effective item sample of 99. The person convenience sample was 431 students in education (1(st) to 4(th) year) at an Australian university during 2000. The latest Rasch Unidimensional Measurement Model Computer Program (Andrich, Lyne, Sheridan, & Luo, 2000) was used to analyse the data and create a single scale of Studying and Learning. Altogether 77 items fitted a Rasch Measurement Model and formed a scale in which the 'difficulties' of the items were ordered from 'easy' to 'hard' and the student measures of Studying and Learning were ordered from 'low' to 'high'. The proportion of observed student variance considered true was 0.96. The response categories were answered consistently and logically and the results supported many, but not all, the conceptualised ordering of the subscales. Students found it 'easy' to report a high Ideal Self-view, 'much harder' to report a high Capability Self-view, and 'harder still' to report a high Studying and Learning Behaviour for the stem-items, in accordance with the model, where items fit the measurement model. The Ideal Self-view Surface Approach items provided the most non-fit to the model. This method was highly successful in producing a single scale of Studying and Learning from self-reported Self-concepts, Self-capabilities, and Studying and Learning Behaviours, based on a Deep Approach, a Surface Approach and a Strategic Approach.

Does Extrinsic Goal Framing Enhance Extrinsic Goal-Oriented Individuals' Learning and Performance? An Experimental Test of the Match Perspective versus Self-Determination Theory

ERIC Educational Resources Information Center

Vansteenkiste, Maarten; Timmermans, Tinneke; Lens, Willy; Soenens, Bart; Van den Broeck, Anja

2008-01-01

Previous work within self-determination theory has shown that experimentally framing a learning activity in terms of extrinsic rather than intrinsic goals results in poorer conceptual learning and performance, presumably because extrinsic goal framing detracts attention from the learning activity and is less directly satisfying of basic…

The Relative Effect of Team-Based Learning on Motivation and Learning: A Self-Determination Theory Perspective

ERIC Educational Resources Information Center

Jeno, Lucas M.; Raaheim, Arild; Kristensen, Sara Madeleine; Kristensen, Kjell Daniel; Hole, Torstein Nielsen; Haugland, Mildrid J.; Mæland, Silje

2017-01-01

We investigate the effects of team-based learning (TBL) on motivation and learning in a quasi-experimental study. The study employs a self-determination theory perspective to investigate the motivational effects of implementing TBL in a physiotherapy course in higher education. We adopted a one-group pretest-posttest design. The results show that…

Use of E-Resources of the Learning Environment in Teaching Mathematics to Future Engineers

ERIC Educational Resources Information Center

Askhamov, Ayrat A.; Konysheva, Aliya V.; Gapsalamov, Almaz R.

2016-01-01

The urgency of the issue discussed in this article is determined by the fact that the modern education model aims at forming a competitive and creative personality of a student striving for continuous self-improvement and self-development. It should be emphasized that mathematical training is an integral part of engineering education. In this…

Scaffolding in geometry based on self regulated learning

NASA Astrophysics Data System (ADS)

Bayuningsih, A. S.; Usodo, B.; Subanti, S.

2017-12-01

This research aim to know the influence of problem based learning model by scaffolding technique on junior high school student’s learning achievement. This research took location on the junior high school in Banyumas. The research data obtained through mathematic learning achievement test and self-regulated learning (SRL) questioner. Then, the data analysis used two ways ANOVA. The results showed that scaffolding has positive effect to the mathematic learning achievement. The mathematic learning achievement use PBL-Scaffolding model is better than use PBL. The high SRL category student has better mathematic learning achievement than middle and low SRL categories, and then the middle SRL category has better than low SRL category. So, there are interactions between learning model with self-regulated learning in increasing mathematic learning achievement.

A Framework for Implementing Individualized Self-Regulated Learning Strategies in the Classroom

ERIC Educational Resources Information Center

Ness, Bryan M.; Middleton, Michael J.

2012-01-01

Self-regulated learning (SRL) is a conceptual model that can be used to design and implement individualized learning strategies for students with learning disabilities. Students who self-regulate their learning engage in planning, performance, and self-evaluation during academic tasks. This article highlights one approach for teaching SRL skills…

Students' expectations of the future: hopelessness as a barrier to self-determination.

PubMed

Palmer, S B; Wehmeyer, M L

1998-04-01

The development of self-determination depends on the emergence of positive beliefs about oneself and one's future. Research has suggested that these positive perceptions are the outcome of a process of learning and using problem-solving skills and the achievement of perceived or actual control, referred to as learned hopefulness. Expectations for the future (e.g., hopefulness/hopelessness) of students with mental retardation, learning disabilities, or students without disabilities were examined. Students with mental retardation were significantly less hopeful than were their peers with learning disabilities or without disabilities. Implications from these findings for the development of self-determination were discussed.

Does Self-Regulated Learning-Skills Training Improve High-School Students' Self-Regulation, Math Achievement, and Motivation While Using an Intelligent Tutor?

ERIC Educational Resources Information Center

Barrus, Angela

2013-01-01

This study empirically evaluated the effectiveness of the instructional design, learning tools, and role of the teacher in three versions of a semester-long, high-school remedial Algebra I course to determine what impact self-regulated learning skills and learning pattern training have on students' self-regulation, math achievement, and…

The Relationship among Self-Determination, Self-Concept, and Academic Achievement for Students with Learning Disabilities

ERIC Educational Resources Information Center

Zheng, Chunmei; Gaumer Erickson, Amy; Kingston, Neal M.; Noonan, Patricia M.

2014-01-01

Research suggests that self-determination skills are positively correlated with factors that have been shown to improve academic achievement, but the direct relationship among self-determination, self-concept, and academic achievement is not fully understood. This study offers an empirical explanation of how self-determination and self-concept…

Improving Mathematical Problem-Solving Ability and Self-Confidence of High School Students through Contextual Learning Model

ERIC Educational Resources Information Center

Surya, Edy; Putri, Feria Andriana; Mukhtar

2017-01-01

The purposes of this study are: (1) to know if students' mathematical problem-solving ability taught by contextual learning model is higher than students taught by expository learning, (2) to know if students' self-confidence taught by contextual learning model is higher than students taught by expository learning, (3) to know if there is…

The Effect of an Adaptive Online Learning Support in an Undergraduate Computer Course: An Exploration of Self-Regulation in Blended Contexts

ERIC Educational Resources Information Center

Ko, Chia-Yin

2013-01-01

In accordance with Zimmerman's self-regulated learning model, the proposed online learning tool in the current study was designed to support students in learning a challenging subject. The Self-Check List, Formative Self-Assessment, and Structured Online Discussion served goal-setting, self-monitoring, and self-reflective purposes. The…

Why Are You Learning a Second Language? Motivational Orientations and Self-Determination Theory.

ERIC Educational Resources Information Center

Noels, Kimberly A.; Pelletier, Luc G.; Clement, Richard; Vallerand, Robert J.

2003-01-01

Examined self-determination theory (SDT) in the language learning context. Involved the development of a valid and reliable instrument to assess different subtypes of intrinsic and extrinsic motivation and explored the link between these motivational sub-types and various orientations to language learning. Showed instrumental orientation and the…

An Examination of Sixth Graders' Self-Determined Motivation and Learning in Physical Education

ERIC Educational Resources Information Center

Sun, Haichun; Chen, Ang

2010-01-01

Self-determination theory (SDT), when applied in education, emphasizes helping learners internalize extrinsic motivation so as to regulate their learning behavior from an amotivation state to intrinsic motivation. The purpose of this study was to examine the relationship between SDT components and learning in middle school physical education.…

[Relationship between self-directed learning with learning styles and strategies in medical students].

PubMed

Márquez U, Carolina; Fasce H, Eduardo; Pérez V, Cristhian; Ortega B, Javiera; Parra P, Paula; Ortiz M, Liliana; Matus B, Olga; Ibáñez G, Pilar

2014-11-01

Self-directed learning (SDL) skills are particularly important in medical education, considering that physicians should be able to regulate their own learning experiences. To evaluate the relationship between learning styles and strategies and self-directed learning in medical students. One hundred ninety nine first year medical students (120 males) participated in the study. Preparation for Independent Learning (EPAI) scale was used to assess self-direction. Schmeck learning strategies scale and Honey and Alonso (CHAEA) scales were used to evaluate learning styles and strategies. Theoretical learning style and deep processing learning strategy had positive correlations with self-direct learning. Medical students with theoretical styles and low retention of facts are those with greater ability to self-direct their learning. Further studies are required to determine the relationship between learning styles and strategies with SDL in medical students. The acquired knowledge will allow the adjustment of teaching strategies to encourage SDL.

Computer Attitude and eLearning Self-Efficacy of Undergraduate Students: Validating Potential Acceptance and Use of Online Learning Systems in Ghana

ERIC Educational Resources Information Center

Larbi-Apau, Josephine; Oti-Boadi, Mabel; Tetteh, Albert

2018-01-01

Both computer attitude and eLearning self-efficacy are critical complementary factors in determining confidence levels and behavioral belief systems, and can directly affect students' actions, performances and achievements. This study applied a multidimensional construct in validating computer attitude and eLearning self-efficacy of Psychology…

Relationship between Student's Self-Directed-Learning Readiness and Academic Self-Efficacy and Achievement Motivation in Students

ERIC Educational Resources Information Center

Saeid, Nasim; Eslaminejad, Tahere

2017-01-01

Self-directed learning readiness to expand and enhance learning, This is an important goal of higher education, Besides his academic self-efficacy can be improved efficiency and Achievement Motivation, so understanding how to use these strategies by students is very important. Because the purpose this study is determination of relationship between…

The Relationship between the Big-Five Model of Personality and Self-Regulated Learning Strategies

ERIC Educational Resources Information Center

Bidjerano, Temi; Dai, David Yun

2007-01-01

The study examined the relationship between the big-five model of personality and the use of self-regulated learning strategies. Measures of self-regulated learning strategies and big-five personality traits were administered to a sample of undergraduate students. Results from canonical correlation analysis indicated an overlap between the…

Influence of Psychosocial Classroom Environment on Students' Motivation and Self-Regulation in Science Learning: A Structural Equation Modeling Approach

NASA Astrophysics Data System (ADS)

Velayutham, Sunitadevi; Aldridge, Jill M.

2013-04-01

The primary aim of this study was two-fold: 1) to identify salient psychosocial features of the classroom environment that influence students' motivation and self-regulation in science learning; and 2) to examine the effect of the motivational constructs of learning goal orientation, science task value and self-efficacy in science learning on students' self-regulation in science classrooms. Data collected from 1360 science students in grades 8, 9 and 10 in five public schools in Perth, Western Australia were utilized to validate the questionnaires and to investigate the hypothesized relationships. Structural Equation Modeling analysis suggested that student cohesiveness, investigation and task orientation were the most influential predictors of student motivation and self-regulation in science learning. In addition, learning goal orientation, task value and self-efficacy significantly influenced students' self-regulation in science. The findings offer potential opportunities for educators to plan and implement effective pedagogical strategies aimed at increasing students' motivation and self-regulation in science learning.

Motivational component profiles in university students learning histology: a comparative study between genders and different health science curricula.

PubMed

Campos-Sánchez, Antonio; López-Núñez, Juan Antonio; Carriel, Víctor; Martín-Piedra, Miguel-Ángel; Sola, Tomás; Alaminos, Miguel

2014-03-10

The students' motivation to learn basic sciences in health science curricula is poorly understood. The purpose of this study was to investigate the influence of different components of motivation (intrinsic motivation, self-determination, self-efficacy and extrinsic -career and grade- motivation) on learning human histology in health science curricula and their relationship with the final performance of the students in histology. Glynn Science Motivation Questionnaire II was used to compare students' motivation components to learn histology in 367 first-year male and female undergraduate students enrolled in medical, dentistry and pharmacy degree programs. For intrinsic motivation, career motivation and self-efficacy, the highest values corresponded to medical students, whereas dentistry students showed the highest values for self-determination and grade motivation. Genders differences were found for career motivation in medicine, self-efficacy in dentistry, and intrinsic motivation, self-determination and grade motivation in pharmacy. Career motivation and self-efficacy components correlated with final performance in histology of the students corresponding to the three curricula. Our results show that the overall motivational profile for learning histology differs among medical, dentistry and pharmacy students. This finding is potentially useful to foster their learning process, because if they are metacognitively aware of their motivation they will be better equipped to self-regulate their science-learning behavior in histology. This information could be useful for instructors and education policy makers to enhance curricula not only on the cognitive component of learning but also to integrate students' levels and types of motivation into the processes of planning, delivery and evaluation of medical education.

Training Self-Regulated Learning Skills with Video Modeling Examples: Do Task-Selection Skills Transfer?

ERIC Educational Resources Information Center

Raaijmakers, Steven F.; Baars, Martine; Schaap, Lydia; Paas, Fred; van Merriënboer, Jeroen; van Gog, Tamara

2018-01-01

Self-assessment and task-selection skills are crucial in self-regulated learning situations in which students can choose their own tasks. Prior research suggested that training with video modeling examples, in which another person (the model) demonstrates and explains the cyclical process of problem-solving task performance, self-assessment, and…

The Influence of Parental Self-Efficacy and Perceived Control on the Home Learning Environment of Young Children.

PubMed

Peacock-Chambers, Elizabeth; Martin, Justin T; Necastro, Kelly A; Cabral, Howard J; Bair-Merritt, Megan

2017-03-01

To: 1) examine sociodemographic factors associated with high parental self-efficacy and perceived control, and 2) determine how self-efficacy and control relate to the home learning environment (HLE), including whether they mediate the relationship between sociodemographic characteristics and HLE, among low-income parents of young children. Cross-sectional survey of English- and Spanish-speaking parents, 18 years of age and older, with children 15 to 36 months old, to assess parental self-efficacy, perceived control, HLE, and sociodemographic characteristics. Bivariate analysis identified sociodemographic predictors of high self-efficacy and control. Separate multivariate linear regression models were used to examine associations between self-efficacy, control, and the HLE. Formal path analysis was used to assess whether self-efficacy and control mediate the relationship between sociodemographic characteristics and HLE. Of 144 participants, 25% were white, 65% were immigrants, and 35% completed the survey in Spanish. US-born subjects, those who completed English surveys, or who had higher educational levels had significantly higher mean self-efficacy and perceived control scores (P < .05). Higher self-efficacy and perceived control were associated with a positive change in HLE score in separate multivariate models (self-efficacy β = .7 [95% confidence interval (CI), 0.5-0.9]; control β = .5 [95% CI, 0.2-0.8]). Self-efficacy acted as a mediator such that low self-efficacy explained part of the association between parental depressive symptoms, immigrant status, and less optimal HLE (P = .04 and < .001, respectively). High parental self-efficacy and perceived control positively influence HLEs of young children. Self-efficacy alone mediates the relationship between parental depressive symptoms, immigrant status, and less optimal early home learning. Copyright © 2016 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

Comprehensive School Reform Models: A Study Guide for Comparing CSR Models (and How Well They Meet Minnesota's Learning Standards).

ERIC Educational Resources Information Center

St. John, Edward P.; Loescher, Siri; Jacob, Stacy; Cekic, Osman; Kupersmith, Leigh; Musoba, Glenda Droogsma

A growing number of schools are exploring the prospect of applying for funding to implement a Comprehensive School Reform (CSR) model. But the process of selecting a CSR model can be complicated because it frequently involves self-study and a review of models to determine which models best meet the needs of the school. This study guide is intended…

Cohorts and Relatedness: Self-Determination Theory as an Explanation of How Learning Communities Affect Educational Outcomes

ERIC Educational Resources Information Center

Beachboard, Martine Robinson; Beachboard, John C.; Li, Wenling; Adkison, Stephen R.

2011-01-01

This study examines whether feelings of relatedness constitute a substantial means by which learning communities (cohorts) improve learning outcomes in higher education. It applies Ryan and Deci's Self-Determination Theory to an analysis of the National Survey of Student Engagement. The SDT hypothesizes that environments that support perceptions…

A Correlational Study of Self-Directed Learning Readiness and Learning Activity Preference for Continuing Medical Education among Family Physicians

ERIC Educational Resources Information Center

Barrett, Theresa J.

2014-01-01

This quantitative, nonexperimental, correlational study sought to determine whether a relationship exists between family physicians' levels of self-directed learning readiness (SDLR) and their preferences for continuing medical education (CME) activities. The study also sought to determine whether years in clinical practice or size of clinical…

The DEDEPRO[TM] Model for Regulating Teaching and Learning: Recent Advances

ERIC Educational Resources Information Center

de la Fuente Arias, Jesus; Justicia, Fernando Justicia

2007-01-01

Research on "self-regulated learning" has evolved from classic models focused exclusively on the student and the learning process, to models which take into consideration the context or the teaching process, as an element which can stimulate self-regulation in students. The DEDEPRO[TM] model is offered as a model of the latter type,…

Fully convolutional networks with double-label for esophageal cancer image segmentation by self-transfer learning

NASA Astrophysics Data System (ADS)

Xue, Di-Xiu; Zhang, Rong; Zhao, Yuan-Yuan; Xu, Jian-Ming; Wang, Ya-Lei

2017-07-01

Cancer recognition is the prerequisite to determine appropriate treatment. This paper focuses on the semantic segmentation task of microvascular morphological types on narrowband images to aid clinical examination of esophageal cancer. The most challenge for semantic segmentation is incomplete-labeling. Our key insight is to build fully convolutional networks (FCNs) with double-label to make pixel-wise predictions. The roi-label indicating ROIs (region of interest) is introduced as extra constraint to guild feature learning. Trained end-to-end, the FCN model with two target jointly optimizes both segmentation of sem-label (semantic label) and segmentation of roi-label within the framework of self-transfer learning based on multi-task learning theory. The learning representation ability of shared convolutional networks for sem-label is improved with support of roi-label via achieving a better understanding of information outside the ROIs. Our best FCN model gives satisfactory segmentation result with mean IU up to 77.8% (pixel accuracy > 90%). The results show that the proposed approach is able to assist clinical diagnosis to a certain extent.

Self-controlled learning benefits: exploring contributions of self-efficacy and intrinsic motivation via path analysis.

PubMed

Ste-Marie, Diane M; Carter, Michael J; Law, Barbi; Vertes, Kelly; Smith, Victoria

2016-09-01

Research has shown learning advantages for self-controlled practice contexts relative to yoked (i.e., experimenter-imposed) contexts; yet, explanations for this phenomenon remain relatively untested. We examined, via path analysis, whether self-efficacy and intrinsic motivation are important constructs for explaining self-controlled learning benefits. The path model was created using theory-based and empirically supported relationships to examine causal links between these psychological constructs and physical performance. We hypothesised that self-efficacy and intrinsic motivation would have greater predictive power for learning under self-controlled compared to yoked conditions. Participants learned double-mini trampoline progressions, and measures of physical performance, self-efficacy and intrinsic motivation were collected over two practice days and a delayed retention day. The self-controlled group (M = 2.04, SD = .98) completed significantly more skill progressions in retention than their yoked counterparts (M = 1.3, SD = .65). The path model displayed adequate fit, and similar significant path coefficients were found for both groups wherein each variable was predominantly predicted by its preceding time point (e.g., self-efficacy time 1 predicts self-efficacy time 2). Interestingly, the model was not moderated by group; thus, failing to support the hypothesis that self-efficacy and intrinsic motivation have greater predictive power for learning under self-controlled relative to yoked conditions.

Transition Works: Self-Awareness and Self-Advocacy Skills for Students in the Elementary Learning Center

ERIC Educational Resources Information Center

Merlone, Lynn; Moran, Dolores

2008-01-01

Fifth grade students with learning disabilities receive a ten-week unit on learning styles and the special education process as part of their transition to the middle school. Developed by a learning center teacher and guidance counselor, the program is derived from the literature on self-determination and from the work of Mel Levine. The…

Investigating the Relationship Between Self-Directed Learning Readiness and Time Management Skills in Turkish Undergraduate Nursing Students.

PubMed

Ertuğ, Nurcan; Faydali, Saide

The aims of this study were to determine self-directed learning and time management skills of undergraduate nursing students and to investigate the relationship between the concepts. The use of self-directed learning has increased as an educational strategy in recent years. This descriptive and correlational study was conducted with 383 undergraduate nursing students in Turkey. Data were collected using a sociodemographic questionnaire, the Self-Directed Learning Readiness Scale, and Time Management Questionnaire. Mean scores were as follows: self-directed learning readiness, 159.12 (SD = 20.8); time management, 87.75 (SD = 12.1). A moderate positive correlation was found between self-directed learning readiness and time management values. Time management scores were 78.42 when self-directed learning readiness was ≤149 and 90.82 when self-directed learning readiness was ≥ 150, with a statistically significant difference (p = .000). Level of self-directed learning and academic achievement were higher in students who managed their time well.

Social anxiety is characterized by biased learning about performance and the self.

PubMed

Koban, Leonie; Schneider, Rebecca; Ashar, Yoni K; Andrews-Hanna, Jessica R; Landy, Lauren; Moscovitch, David A; Wager, Tor D; Arch, Joanna J

2017-12-01

People learn about their self from social information, and recent work suggests that healthy adults show a positive bias for learning self-related information. In contrast, social anxiety disorder (SAD) is characterized by a negative view of the self, yet what causes and maintains this negative self-view is not well understood. Here the authors use a novel experimental paradigm and computational model to test the hypothesis that biased social learning regarding self-evaluation and self-feelings represents a core feature that distinguishes adults with SAD from healthy controls. Twenty-one adults with SAD and 35 healthy controls (HCs) performed a speech in front of 3 judges. They subsequently evaluated themselves and received performance feedback from the judges and then rated how they felt about themselves and the judges. Affective updating (i.e., change in feelings about the self over time, in response to feedback from the judges) was modeled using an adapted Rescorla-Wagner learning model. HCs demonstrated a positivity bias in affective updating, which was absent in SAD. Further, self-performance ratings revealed group differences in learning from positive feedback-a difference that endured at an average of 1 year follow up. These findings demonstrate the presence and long-term endurance of positively biased social learning about the self among healthy adults, a bias that is absent or reversed among socially anxious adults. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Understanding Self-Controlled Motor Learning Protocols through the Self-Determination Theory

PubMed Central

Sanli, Elizabeth A.; Patterson, Jae T.; Bray, Steven R.; Lee, Timothy D.

2013-01-01

The purpose of the present review was to provide a theoretical understanding of the learning advantages underlying a self-controlled practice context through the tenets of the self-determination theory (SDT). Three micro-theories within the macro-theory of SDT (Basic psychological needs theory, Cognitive Evaluation Theory, and Organismic Integration Theory) are used as a framework for examining the current self-controlled motor learning literature. A review of 26 peer-reviewed, empirical studies from the motor learning and medical training literature revealed an important limitation of the self-controlled research in motor learning: that the effects of motivation have been assumed rather than quantified. The SDT offers a basis from which to include measurements of motivation into explanations of changes in behavior. This review suggests that a self-controlled practice context can facilitate such factors as feelings of autonomy and competence of the learner, thereby supporting the psychological needs of the learner, leading to long term changes to behavior. Possible tools for the measurement of motivation and regulation in future studies are discussed. The SDT not only allows for a theoretical reinterpretation of the extant motor learning research supporting self-control as a learning variable, but also can help to better understand and measure the changes occurring between the practice environment and the observed behavioral outcomes. PMID:23430980

Understanding Self-Controlled Motor Learning Protocols through the Self-Determination Theory.

PubMed

Sanli, Elizabeth A; Patterson, Jae T; Bray, Steven R; Lee, Timothy D

2012-01-01

The purpose of the present review was to provide a theoretical understanding of the learning advantages underlying a self-controlled practice context through the tenets of the self-determination theory (SDT). Three micro-theories within the macro-theory of SDT (Basic psychological needs theory, Cognitive Evaluation Theory, and Organismic Integration Theory) are used as a framework for examining the current self-controlled motor learning literature. A review of 26 peer-reviewed, empirical studies from the motor learning and medical training literature revealed an important limitation of the self-controlled research in motor learning: that the effects of motivation have been assumed rather than quantified. The SDT offers a basis from which to include measurements of motivation into explanations of changes in behavior. This review suggests that a self-controlled practice context can facilitate such factors as feelings of autonomy and competence of the learner, thereby supporting the psychological needs of the learner, leading to long term changes to behavior. Possible tools for the measurement of motivation and regulation in future studies are discussed. The SDT not only allows for a theoretical reinterpretation of the extant motor learning research supporting self-control as a learning variable, but also can help to better understand and measure the changes occurring between the practice environment and the observed behavioral outcomes.

A Model of Metacognition, Achievement Goal Orientation, Learning Style and Self-Efficacy

ERIC Educational Resources Information Center

Coutinho, Savia A.; Neuman, George

2008-01-01

Structural equation modelling was used to test a model integrating achievement goal orientation, learning style, self-efficacy and metacognition into a single framework that explained and predicted variation in performance. Self-efficacy was the strongest predictor of performance. Metacognition was a weak predictor of performance. Deep processing…

Does Physical Environment Contribute to Basic Psychological Needs? A Self-Determination Theory Perspective on Learning in the Chemistry Laboratory

ERIC Educational Resources Information Center

Sjöblom, Kirsi; Mälkki, Kaisu; Sandström, Niclas; Lonka, Kirsti

2016-01-01

The role of motivation and emotions in learning has been extensively studied in recent years; however, research on the role of the physical environment still remains scarce. This study examined the role of the physical environment in the learning process from the perspective of basic psychological needs. Although self-determination theory stresses…

Factors Influencing Self-Regulation in E-Learning 2.0: Confirmatory Factor Model

ERIC Educational Resources Information Center

Zhao, Hong

2016-01-01

The importance of self-regulation in e-learning has been well noted in research. Relevant studies have shown a consistent positive correlation between learners' self-regulation and their success rate in e-learning. Increasing attention has been paid to developing learners' self-regulated abilities in e-learning. For students, what and how to learn…

Understanding the Association between Future Time Perspective and Self-Regulated Learning through the Lens of Self-Determination Theory

ERIC Educational Resources Information Center

de Bilde, Jerissa; Vansteenkiste, Maarten; Lens, Willy

2011-01-01

The present cross-sectional research examined a process underlying the positive association between holding an extended future time perspective (FTP) and learning outcomes through the lens of self-determination theory. High school students and university students (N = 275) participated in the study. It was found that students with an extended FTP…

Motivational component profiles in university students learning histology: a comparative study between genders and different health science curricula

PubMed Central

2014-01-01

Background The students’ motivation to learn basic sciences in health science curricula is poorly understood. The purpose of this study was to investigate the influence of different components of motivation (intrinsic motivation, self-determination, self-efficacy and extrinsic -career and grade- motivation) on learning human histology in health science curricula and their relationship with the final performance of the students in histology. Methods Glynn Science Motivation Questionnaire II was used to compare students’ motivation components to learn histology in 367 first-year male and female undergraduate students enrolled in medical, dentistry and pharmacy degree programs. Results For intrinsic motivation, career motivation and self-efficacy, the highest values corresponded to medical students, whereas dentistry students showed the highest values for self-determination and grade motivation. Genders differences were found for career motivation in medicine, self-efficacy in dentistry, and intrinsic motivation, self-determination and grade motivation in pharmacy. Career motivation and self-efficacy components correlated with final performance in histology of the students corresponding to the three curricula. Conclusions Our results show that the overall motivational profile for learning histology differs among medical, dentistry and pharmacy students. This finding is potentially useful to foster their learning process, because if they are metacognitively aware of their motivation they will be better equipped to self-regulate their science-learning behavior in histology. This information could be useful for instructors and education policy makers to enhance curricula not only on the cognitive component of learning but also to integrate students’ levels and types of motivation into the processes of planning, delivery and evaluation of medical education. PMID:24612878

Investigating Postsecondary Self-Regulated Learning Instructional Practices: The Development of the Self-Regulated Learning Observation Protocol

ERIC Educational Resources Information Center

Hoops, Leah D.; Yu, Shirley L.; Wang, Qianqian; Hollyer, Virginia L.

2016-01-01

Promoting students' self-regulated learning (SRL) is one way to improve postsecondary student success. However, few studies have investigated the instructional practices of postsecondary instructors that may support students' SRL. This study sought to fill this gap. An undergraduate mathematics course was observed to determine instruction utilized…

Self-Directed Learning Readiness among Undergraduate Students at Saudi Electronic University in Saudi Arabia

ERIC Educational Resources Information Center

Alfaifi, Mousa S.

2016-01-01

This study aimed to determine the level of self-directed learning readiness (SDLR) among undergraduate students at Saudi Electronic University in Saudi Arabia. Also, investigated were potential relationships between the level of self-directed learning readiness and selected demographic variables such as gender and specific college within the…

Learning to Swim Using Video Modelling and Video Feedback within a Self-Management Program

ERIC Educational Resources Information Center

Lao, So-An; Furlonger, Brett E.; Moore, Dennis W.; Busacca, Margherita

2016-01-01

Although many adults who cannot swim are primarily interested in learning by direct coaching there are options that have a focus on self-directed learning. As an alternative a self-management program combined with video modelling, video feedback and high quality and affordable video technology was used to assess its effectiveness to assisting an…

Effects of LMS, Self-Efficacy, and Self-Regulated Learning on LMS Effectiveness in Business Education

ERIC Educational Resources Information Center

Eom, Sean B.

2012-01-01

Purpose: The majority of e-learning empirical research studies have focused on the two research streams: outcome comparison studies with classroom-based learning and studies examining potential predictors of e-learning success. The determinants of e-learning success include interactions, instructor support and mentoring, information delivery…

Self-Regulated Learning from Illustrated Text: Eye Movement Modelling to Support Use and Regulation of Cognitive Processes during Learning from Multimedia

ERIC Educational Resources Information Center

Scheiter, Katharina; Schubert, Carina; Schüler, Anne

2018-01-01

Background: When learning with text and pictures, learners often fail to adequately process the materials, which can be explained as a failure to self-regulate one's learning by choosing adequate cognitive learning processes. Eye movement modelling examples (EMME) showing how to process multimedia instruction have improved elementary school…

Expectancy-value theory in persistence of learning effects in schizophrenia: role of task value and perceived competency.

PubMed

Choi, Jimmy; Fiszdon, Joanna M; Medalia, Alice

2010-09-01

Expectancy-value theory, a widely accepted model of motivation, posits that expectations of success on a learning task and the individual value placed on the task are central determinants of motivation to learn. This is supported by research in healthy controls suggesting that beliefs of self-and-content mastery can be so influential they can predict the degree of improvement on challenging cognitive tasks even more so than general cognitive ability. We examined components of expectancy-value theory (perceived competency and task value), along with baseline arithmetic performance and neuropsychological performance, as possible predictors of learning outcome in a sample of 70 outpatients with schizophrenia randomized to 1 of 2 different arithmetic learning conditions and followed up after 3 months. Results indicated that as with nonpsychiatric samples, perceived self-competency for the learning task was significantly related to perceptions of task value attributed to the learning task. Baseline expectations of success predicted persistence of learning on the task at 3-month follow-up, even after accounting for variance attributable to different arithmetic instruction, baseline arithmetic ability, attention, and self-reports of task interest and task value. We also found that expectation of success is a malleable construct, with posttraining improvements persisting at follow-up. These findings support the notion that expectancy-value theory is operative in schizophrenia. Thus, similar to the nonpsychiatric population, treatment benefits may be enhanced and better maintained if remediation programs also focus on perceptions of self-competency for the training tasks. Treatment issues related to instilling self-efficacy in cognitive recovery programs are discussed.

Freedom To Fly: 101 Activities for Building Self-Worth.

ERIC Educational Resources Information Center

Brewer, Chris

A sense of self-worth and trust in oneself provides the will to survive, the desire to create, the ability to learn, and the courage to reach out and connect with another human being. This guide provides a self-worth building model based on the acronym SELF: (1) Sensing; (2) Expressing; (3) Learning; and (4) Forming. The self-worth model focuses…

Using Mobile Learning: Determinates Impacting Behavioral Intention

ERIC Educational Resources Information Center

Lowenthal, Jeffrey N.

2010-01-01

This study examined the factors or determinates that impact the behavioral intention of students to use mobile learning (m-learning) technology. These determinates include performance expectancy, effort expectancy, and self-management of learning, all mediated by age, gender, or both. Regression coefficients showed strong and significant…

Theory of Self- vs. Externally-Regulated LearningTM: Fundamentals, Evidence, and Applicability.

PubMed

de la Fuente-Arias, Jesús

2017-01-01

The Theory of Self- vs. Externally-Regulated Learning TM has integrated the variables of SRL theory, the DEDEPRO model, and the 3P model. This new Theory has proposed: (a) in general, the importance of the cyclical model of individual self-regulation (SR) and of external regulation stemming from the context (ER), as two different and complementary variables, both in combination and in interaction; (b) specifically, in the teaching-learning context, the relevance of different types of combinations between levels of self-regulation (SR) and of external regulation (ER) in the prediction of self-regulated learning (SRL), and of cognitive-emotional achievement. This review analyzes the assumptions, conceptual elements, empirical evidence, benefits and limitations of SRL vs. ERL Theory . Finally, professional fields of application and future lines of research are suggested.

Towards a Causal Model of Learned Hopelessness for Hong Kong Adolescents.

ERIC Educational Resources Information Center

Au, Chung-Park; Watkins, David

1997-01-01

Interprets a survey of junior secondary students conducted to examine the role of learned hopelessness and academic self-esteem in academic achievement. Finds that learned hopelessness and academic self-esteem play separate mediating roles between prior academic failure and academic achievement; learned hopelessness and academic self-esteem have…

The profile of students’ self-regulated learning at vocational high school

NASA Astrophysics Data System (ADS)

Ciptaningtyas, Asih; Pratiwi, Hasih; Mardiyana

2018-05-01

Self-regulated learning is a power in the individual through the individualization process. Self-regulated learning will occur when the student is active to control himself from everything done, plan something, evaluate, and deeply reflect what he has experienced. This study aims to determine the profile of students’ self-regulated learning in SMK Giripuro, Sumpiuh, Banyumas Regency. This study is a qualitative research with questionnaire and interview methods. This study used triangulation method technique to obtain from the questionnaire and interview to get valid data. The subjects in this study are three 10th Grade students who have different self-regulated learning in SMK Giripuro Sumpiuh. The results showed that the high self-regulated learning student has characteristics: 1) independent of others, 2) believe in their abilities, 3) awareness in learning, and 4) be able to reflect on their learning. Medium self-regulated learning student has characteristics: 1) independent of others, 2) believe in their abilities, 3) awareness in learning, and 4) do not reflect on learning. Low self-regulated learning student has characteristics: 1) dependent on others, 2) do not believe in their abilities, 3) lack awareness of learning, and 4) do not reflect on learning.

Judgments of Self-Perceived Academic Competence and Their Differential Impact on Students' Achievement Motivation, Learning Approach, and Academic Performance

ERIC Educational Resources Information Center

Ferla, Johan; Valcke, Martin; Schuyten, Gilberte

2010-01-01

Using path analysis, the present study focuses on the development of a model describing the impact of four judgments of self-perceived academic competence on higher education students' achievement goals, learning approach, and academic performance. Results demonstrate that academic self-efficacy, self-efficacy for self-regulated learning, academic…

Effects of Group Awareness and Self-Regulation Level on Online Learning Behaviors

ERIC Educational Resources Information Center

Lin, Jian-Wei; Szu, Yu-Chin; Lai, Ching-Neng

2016-01-01

Group awareness can affect student online learning while self-regulation also can substantially influence student online learning. Although some studies identify that these two variables may partially determine learning behavior, few empirical studies or thorough analyses elucidate the simultaneous impact of these two variables (group awareness…

Self-Regulated Learning Strategies and Pre-University Math Performance of International Students in Malaysia

ERIC Educational Resources Information Center

Loong, Tang Eng

2012-01-01

This study is an attempt to compare the use of self-regulated learning strategies and their math performance between home and international students in the Monash University Foundation Year (MUFY) and determine the self-regulated learning strategies that are significantly associated with their math performance. The participants of the study were…

Self-Controlled Amount of Practice Benefits Learning of a Motor Skill

ERIC Educational Resources Information Center

Post, Phillip G.; Fairbrother, Jeffrey T.; Barros, Joao A. C.

2011-01-01

Self-control over factors involving task-related information (e.g., feedback) can enhance motor learning. It is unknown if these benefits extend to manipulations that do not directly affect such information. The purpose of this study was to determine if self-control over the amount of practice would also facilitate learning. Participants learned…

Self-Regulation, Cooperative Learning, and Academic Self-Efficacy: Interactions to Prevent School Failure

PubMed Central

Fernandez-Rio, Javier; Cecchini, Jose A.; Méndez-Gimenez, Antonio; Mendez-Alonso, David; Prieto, Jose A.

2017-01-01

Learning to learn and learning to cooperate are two important goals for individuals. Moreover, self regulation has been identified as fundamental to prevent school failure. The goal of the present study was to assess the interactions between self-regulated learning, cooperative learning and academic self-efficacy in secondary education students experiencing cooperative learning as the main pedagogical approach for at least one school year. 2.513 secondary education students (1.308 males, 1.205 females), 12–17 years old (M = 13.85, SD = 1.29), enrolled in 17 different schools belonging to the National Network of Schools on Cooperative Learning in Spain agreed to participate. They all had experienced this pedagogical approach a minimum of one school year. Participants were asked to complete the cooperative learning questionnaire, the strategies to control the study questionnaire and the global academic self-efficacy questionnaire. Participants were grouped based on their perceptions on cooperative learning and self-regulated learning in their classes. A combination of hierarchical and κ-means cluster analyses was used. Results revealed a four-cluster solution: cluster one included students with low levels of cooperative learning, self-regulated learning and academic self-efficacy, cluster two included students with high levels of cooperative learning, self-regulated learning and academic self-efficacy, cluster three included students with high levels of cooperative learning, low levels of self-regulated learning and intermediate-low levels of academic self-efficacy, and, finally, cluster four included students with high levels of self-regulated learning, low levels of cooperative learning, and intermediate-high levels of academic self-efficacy. Self-regulated learning was found more influential than cooperative learning on students’ academic self-efficacy. In cooperative learning contexts students interact through different types of regulations: self, co, and shared. Educators should be aware of these interactions, symmetrical or asymmetrical, because they determine the quality and quantity of the students’ participation and achievements, and they are key elements to prevent school failure. PMID:28154544

Self-Regulation, Cooperative Learning, and Academic Self-Efficacy: Interactions to Prevent School Failure.

PubMed

Fernandez-Rio, Javier; Cecchini, Jose A; Méndez-Gimenez, Antonio; Mendez-Alonso, David; Prieto, Jose A

2017-01-01

Learning to learn and learning to cooperate are two important goals for individuals. Moreover, self regulation has been identified as fundamental to prevent school failure. The goal of the present study was to assess the interactions between self-regulated learning, cooperative learning and academic self-efficacy in secondary education students experiencing cooperative learning as the main pedagogical approach for at least one school year. 2.513 secondary education students (1.308 males, 1.205 females), 12-17 years old ( M = 13.85, SD = 1.29), enrolled in 17 different schools belonging to the National Network of Schools on Cooperative Learning in Spain agreed to participate. They all had experienced this pedagogical approach a minimum of one school year. Participants were asked to complete the cooperative learning questionnaire, the strategies to control the study questionnaire and the global academic self-efficacy questionnaire. Participants were grouped based on their perceptions on cooperative learning and self-regulated learning in their classes. A combination of hierarchical and κ -means cluster analyses was used. Results revealed a four-cluster solution: cluster one included students with low levels of cooperative learning, self-regulated learning and academic self-efficacy, cluster two included students with high levels of cooperative learning, self-regulated learning and academic self-efficacy, cluster three included students with high levels of cooperative learning, low levels of self-regulated learning and intermediate-low levels of academic self-efficacy, and, finally, cluster four included students with high levels of self-regulated learning, low levels of cooperative learning, and intermediate-high levels of academic self-efficacy. Self-regulated learning was found more influential than cooperative learning on students' academic self-efficacy. In cooperative learning contexts students interact through different types of regulations: self, co, and shared. Educators should be aware of these interactions, symmetrical or asymmetrical, because they determine the quality and quantity of the students' participation and achievements, and they are key elements to prevent school failure.

Improving self-regulated learning junior high school students through computer-based learning

NASA Astrophysics Data System (ADS)

Nurjanah; Dahlan, J. A.

2018-05-01

This study is back grounded by the importance of self-regulated learning as an affective aspect that determines the success of students in learning mathematics. The purpose of this research is to see how the improvement of junior high school students' self-regulated learning through computer based learning is reviewed in whole and school level. This research used a quasi-experimental research method. This is because individual sample subjects are not randomly selected. The research design used is Pretest-and-Posttest Control Group Design. Subjects in this study were students of grade VIII junior high school in Bandung taken from high school (A) and middle school (B). The results of this study showed that the increase of the students' self-regulated learning who obtain learning with computer-based learning is higher than students who obtain conventional learning. School-level factors have a significant effect on increasing of the students' self-regulated learning.

Development and preliminary testing of a self-rating instrument to measure self-directed learning ability of nursing students.

PubMed

Cheng, Su-Fen; Kuo, Chien-Lin; Lin, Kuan-Chia; Lee-Hsieh, Jane

2010-09-01

With the growing trend of preparing students for lifelong learning, the theory of self-directed learning (SDL) has been increasingly applied in the context of higher education. In order to foster lifelong learning, abilities among nursing students, faculties need to have an appropriate instrument to measure the SDL abilities of nursing students. The objectives of this study were to develop an instrument to measure the SDL abilities of nursing students and to test the validity and reliability of this instrument. This study was conducted in 4 phases. In Phase 1, based on a review of the literature, the researchers developed an instrument to measure SDL. In Phase 2, two rounds of the Delphi study were conducted, to determine the content validity of the instrument. In Phase 3, a convenience sample of 1072 nursing students from two representative schools across three different types of nursing programs were recruited to test the construct validity of the Self-Directed Learning Instrument (SDLI). Finally, in Phase 4, the internal consistency and reliability of the instrument were tested. The resulting SDLI consists of 20 items across the following four domains: learning motivation, planning and implementing, self-monitoring, and interpersonal, communication. The final model in confirmatory factor analysis revealed that this 20-item SDLI indicated a good fit of the model. The value of Cronbach's alpha for the total scale was .916 and for the four domains were .801, .861, .785, and .765, respectively. The SDLI is a valid and reliable instrument for identifying student SDL abilities. It is available to students in nursing and similar medical programs to evaluate their own SDL. This scale may also enable nursing faculty to assess students' SDL status, design better lesson plans and curricula, and, implement appropriate teaching strategies for nursing students in order to foster the growth of lifelong learning abilities. Copyright (c) 2010 Elsevier Ltd. All rights reserved.

Home Environment and Self-Efficacy Beliefs among Native American, African American, and Latino Adolescents.

PubMed

Bradley, Robert H

2018-05-07

Context helps determine what individuals experience in the settings they inhabit. Context also helps determine the likelihood that those experiences will promote adaptive development. Theory suggests likely interplay between various aspects of home context and development of ideas about self that influence patterns of development for children. This study addressed relations between two aspects of home life (companionship and investment, modeling and encouragement) and three types of self-efficacy beliefs (enlisting social resources, independent learning, self-regulatory behavior) considered important for long-term adaptive functioning. The study focused on three groups of minority adolescents (Native American, African American, Latino). Relations were examined using regression models that also included four aspects of household risk that often hinder the development of self-efficacy. Although findings varied somewhat across the three groups, significant relations emerged between the two domains of home life examined and self-efficacy beliefs in all three groups, even controlling for overall household risk. Companionship and investment appeared particularly relevant for African American adolescents, while modeling and encouragement appeared particularly relevant for Native American adolescents. Both were relevant for Latino adolescents. © 2018 Family Process Institute.

An Overview and Evaluation of Recent Machine Learning Imputation Methods Using Cardiac Imaging Data.

PubMed

Liu, Yuzhe; Gopalakrishnan, Vanathi

2017-03-01

Many clinical research datasets have a large percentage of missing values that directly impacts their usefulness in yielding high accuracy classifiers when used for training in supervised machine learning. While missing value imputation methods have been shown to work well with smaller percentages of missing values, their ability to impute sparse clinical research data can be problem specific. We previously attempted to learn quantitative guidelines for ordering cardiac magnetic resonance imaging during the evaluation for pediatric cardiomyopathy, but missing data significantly reduced our usable sample size. In this work, we sought to determine if increasing the usable sample size through imputation would allow us to learn better guidelines. We first review several machine learning methods for estimating missing data. Then, we apply four popular methods (mean imputation, decision tree, k-nearest neighbors, and self-organizing maps) to a clinical research dataset of pediatric patients undergoing evaluation for cardiomyopathy. Using Bayesian Rule Learning (BRL) to learn ruleset models, we compared the performance of imputation-augmented models versus unaugmented models. We found that all four imputation-augmented models performed similarly to unaugmented models. While imputation did not improve performance, it did provide evidence for the robustness of our learned models.

Problem based learning with scaffolding technique on geometry

NASA Astrophysics Data System (ADS)

Bayuningsih, A. S.; Usodo, B.; Subanti, S.

2018-05-01

Geometry as one of the branches of mathematics has an important role in the study of mathematics. This research aims to explore the effectiveness of Problem Based Learning (PBL) with scaffolding technique viewed from self-regulation learning toward students’ achievement learning in mathematics. The research data obtained through mathematics learning achievement test and self-regulated learning (SRL) questionnaire. This research employed quasi-experimental research. The subjects of this research are students of the junior high school in Banyumas Central Java. The result of the research showed that problem-based learning model with scaffolding technique is more effective to generate students’ mathematics learning achievement than direct learning (DL). This is because in PBL model students are more able to think actively and creatively. The high SRL category student has better mathematic learning achievement than middle and low SRL categories, and then the middle SRL category has better than low SRL category. So, there are interactions between learning model with self-regulated learning in increasing mathematic learning achievement.

Enhancing students' learning in problem based learning: validation of a self-assessment scale for active learning and critical thinking.

PubMed

Khoiriyah, Umatul; Roberts, Chris; Jorm, Christine; Van der Vleuten, C P M

2015-08-26

Problem based learning (PBL) is a powerful learning activity but fidelity to intended models may slip and student engagement wane, negatively impacting learning processes, and outcomes. One potential solution to solve this degradation is by encouraging self-assessment in the PBL tutorial. Self-assessment is a central component of the self-regulation of student learning behaviours. There are few measures to investigate self-assessment relevant to PBL processes. We developed a Self-assessment Scale on Active Learning and Critical Thinking (SSACT) to address this gap. We wished to demonstrated evidence of its validity in the context of PBL by exploring its internal structure. We used a mixed methods approach to scale development. We developed scale items from a qualitative investigation, literature review, and consideration of previous existing tools used for study of the PBL process. Expert review panels evaluated its content; a process of validation subsequently reduced the pool of items. We used structural equation modelling to undertake a confirmatory factor analysis (CFA) of the SSACT and coefficient alpha. The 14 item SSACT consisted of two domains "active learning" and "critical thinking." The factorial validity of SSACT was evidenced by all items loading significantly on their expected factors, a good model fit for the data, and good stability across two independent samples. Each subscale had good internal reliability (>0.8) and strongly correlated with each other. The SSACT has sufficient evidence of its validity to support its use in the PBL process to encourage students to self-assess. The implementation of the SSACT may assist students to improve the quality of their learning in achieving PBL goals such as critical thinking and self-directed learning.

Developing Essay Writing Skills: An Evaluation of the Modelling Behaviour Method and the Influence of Student Self-Efficacy

ERIC Educational Resources Information Center

Callinan, Carol J.; van der Zee, Emile; Wilson, Garry

2018-01-01

Social cognitive learning theory has shown that observational learning positively influences essay writing development in high-school students, and that self-efficacy impacts on motivation. This study investigated the relative contribution of model observation, model evaluation, post-submission feedback, and factors relating to self-efficacy, as…

Modeling Relationships among Learning, Attitude, Self-Perception, and Science Achievement for Grade 8 Saudi Students

ERIC Educational Resources Information Center

Tighezza, M'Hamed

2014-01-01

The purpose of the present study was to examine the validity of modeling science achievement in terms of 3 social psychological variables (school connectedness, science attitude, and active learning) and 2 self-perception variables (self-confidence and science value). Two models were tested: full mediation and partial mediation. In the…

Smartphone-Based Patients' Activity Recognition by Using a Self-Learning Scheme for Medical Monitoring.

PubMed

Guo, Junqi; Zhou, Xi; Sun, Yunchuan; Ping, Gong; Zhao, Guoxing; Li, Zhuorong

2016-06-01

Smartphone based activity recognition has recently received remarkable attention in various applications of mobile health such as safety monitoring, fitness tracking, and disease prediction. To achieve more accurate and simplified medical monitoring, this paper proposes a self-learning scheme for patients' activity recognition, in which a patient only needs to carry an ordinary smartphone that contains common motion sensors. After the real-time data collection though this smartphone, we preprocess the data using coordinate system transformation to eliminate phone orientation influence. A set of robust and effective features are then extracted from the preprocessed data. Because a patient may inevitably perform various unpredictable activities that have no apriori knowledge in the training dataset, we propose a self-learning activity recognition scheme. The scheme determines whether there are apriori training samples and labeled categories in training pools that well match with unpredictable activity data. If not, it automatically assembles these unpredictable samples into different clusters and gives them new category labels. These clustered samples combined with the acquired new category labels are then merged into the training dataset to reinforce recognition ability of the self-learning model. In experiments, we evaluate our scheme using the data collected from two postoperative patient volunteers, including six labeled daily activities as the initial apriori categories in the training pool. Experimental results demonstrate that the proposed self-learning scheme for activity recognition works very well for most cases. When there exist several types of unseen activities without any apriori information, the accuracy reaches above 80 % after the self-learning process converges.

Professional Development of Faculty: How Do We Know It Is Effective?

NASA Astrophysics Data System (ADS)

Derting, T. L.; Ebert-May, D.; Hodder, J.

2011-12-01

Professional development (PD) of faculty has been an integral component of curriculum reform efforts in STEM. Traditionally, PD occurs through workshops that last from hours to several days. Regardless of the particular model of PD used during a workshop, its effectiveness is usually assessed through self-report surveys of faculty satisfaction, perceived learning, and reports of applications in faculty classrooms. My presentation focuses on ways of assessing the effectiveness of models of PD, with an emphasis on the need for objective measures of change in faculty teaching. The data that I present raise two significant questions about faculty PD. Are traditional approaches to faculty PD effective in changing classroom teaching practices and improving student learning? What evidence is needed to determine the effectiveness of different models of PD? Self-report data have been useful in identifying variables that can influence the extent to which faculty implement new teaching strategies. These variables include faculty beliefs about student learning, self-efficacy, level of dissatisfaction with student learning, departmental rewards for teaching and learning, time limitations, and peer interactions. Self-report data do not, however, provide a complete or necessarily accurate assessment of the impacts of PD on classroom practices and student learning. Objective assessment of teaching and learning is also necessary, yet seldom conducted. Two approaches to such assessment will be presented, one based on student performance and the other based on observations of faculty teaching. In multiple sections of a student-centered, inquiry-based course, learning gains were higher for students taught by faculty who were trained in student-centered teaching compared with faculty with no such training. In two national projects that focused on faculty PD, self-report data indicated that faculty increased their use of student-centered teaching following PD. Objective assessment measures, however, showed that most faculty actually used teacher-centered methods with only minor use of student-centered teaching practices. Moreover, variables that have been associated with change in teaching practices, or the lack thereof, contributed little to explaining observed classroom teaching practice after PD. For example, faculty with less teaching experience engaged in more student-centered teaching compared with faculty with more years of teaching experience. Also, departmental and peer support for faculty use of non-lecture approaches to teaching had no significant relationship with the classroom practices used by faculty. These and other data suggest that assumptions about the effectiveness of traditional models of PDs need to be validated using objective, as well as subjective measures. The data also indicate a need for new models of PD for STEM faculty.

Manipulatives Implementation For Supporting Learning Of Mathematics For Prospective Teachers

NASA Astrophysics Data System (ADS)

Sulistyaningsih, D.; Mawarsari, V. D.; Hidayah, I.; Dwijanto

2017-04-01

Manipulatives are needed by teachers to facilitate students understand of mathematics which is abstract. As a prospective mathematics teacher, the student must have good skills in making manipulatives. Aims of this study is to describe the implementation of learning courses of manipulative workshop in mathematics education courses by lecturer at Universitas Muhammadiyah Semarang which includes the preparation of learning, general professional ability, the professional capacity specifically, ability of self-development, development class managing, planning and implementation of learning, a way of delivering the material, and evaluation of learning outcomes. Data collection techniques used were questionnaires, interviews, and observation. The research instrument consisted of a questionnaire sheet, sheet observation and interview guides. Validity is determined using data triangulation and triangulation methods. Data were analyzed using an interactive model. The results showed that the average value of activities in preparation for learning, fosters capabilities of general professional, specialized professional, self-development, manage the classroom, implementing the learning, how to deliver the material, and how to evaluate learning outcomes are 79%, 73%, 67%, 75%, 83%, 72%, 64%, and 54%, respectively

Self- and Social Regulation in Learning Contexts: An Integrative Perspective

ERIC Educational Resources Information Center

Volet, Simone; Vauras, Marja; Salonen, Pekka

2009-01-01

This article outlines the rationale for an integrative perspective of self- and social regulation in learning contexts. The role of regulatory mechanisms in self- and social regulation models is examined, leading to the view that in real time collaborative learning, individuals and social entities should be conceptualized as self-regulating and…

Understanding the Influence of Learners' Forethought on Their Use of Science Study Strategies in Postsecondary Science Learning

NASA Astrophysics Data System (ADS)

Dunn, Karee E.; Lo, Wen-Juo

2015-11-01

Understanding self-regulation in science learning is important for theorists and practitioners alike. However, very little has been done to explore and understand students' self-regulatory processes in postsecondary science courses. In this study, the influence of science efficacy, learning value, and goal orientation on the perceived use of science study strategies was explored using structural equation modeling. In addition, the study served to validate the first two stages of Zimmerman's cyclical model of self-regulation and to address the common methodological weakness in self-regulation research in which data are all collected at one point after the learning cycle is complete. Thus, data were collected across the learning cycle rather than asking students to reflect upon each construct after the learning cycle was complete. The findings supported the hypothesized model in which it was predicted that self-efficacy would significantly and positively influence students' perceived science strategy use, and the influence of students' valuation of science learning on science study strategies would be mediated by their learning goal orientation. The findings of the study are discussed and implications for undergraduate science instructors are proposed.

Theory of Self- vs. Externally-Regulated LearningTM: Fundamentals, Evidence, and Applicability

PubMed Central

de la Fuente-Arias, Jesús

2017-01-01

The Theory of Self- vs. Externally-Regulated LearningTM has integrated the variables of SRL theory, the DEDEPRO model, and the 3P model. This new Theory has proposed: (a) in general, the importance of the cyclical model of individual self-regulation (SR) and of external regulation stemming from the context (ER), as two different and complementary variables, both in combination and in interaction; (b) specifically, in the teaching-learning context, the relevance of different types of combinations between levels of self-regulation (SR) and of external regulation (ER) in the prediction of self-regulated learning (SRL), and of cognitive-emotional achievement. This review analyzes the assumptions, conceptual elements, empirical evidence, benefits and limitations of SRL vs. ERL Theory. Finally, professional fields of application and future lines of research are suggested. PMID:29033872

An analysis of mathematical connection ability based on student learning style on visualization auditory kinesthetic (VAK) learning model with self-assessment

NASA Astrophysics Data System (ADS)

Apipah, S.; Kartono; Isnarto

2018-03-01

This research aims to analyze the quality of VAK learning with self-assessment toward the ability of mathematical connection performed by students and to analyze students’ mathematical connection ability based on learning styles in VAK learning model with self-assessment. This research applies mixed method type with concurrent embedded design. The subject of this research consists of VIII grade students from State Junior High School 9 Semarang who apply visual learning style, auditory learning style, and kinesthetic learning style. The data of learning style is collected by using questionnaires, the data of mathematical connection ability is collected by performing tests, and the data of self-assessment is collected by using assessment sheets. The quality of learning is qualitatively valued from planning stage, realization stage, and valuation stage. The result of mathematical connection ability test is analyzed quantitatively by mean test, conducting completeness test, mean differentiation test, and mean proportional differentiation test. The result of the research shows that VAK learning model results in well-qualified learning regarded from qualitative and quantitative sides. Students with visual learning style perform the highest mathematical connection ability, students with kinesthetic learning style perform average mathematical connection ability, and students with auditory learning style perform the lowest mathematical connection ability.

Machine Learning Methods for Analysis of Metabolic Data and Metabolic Pathway Modeling

PubMed Central

Cuperlovic-Culf, Miroslava

2018-01-01

Machine learning uses experimental data to optimize clustering or classification of samples or features, or to develop, augment or verify models that can be used to predict behavior or properties of systems. It is expected that machine learning will help provide actionable knowledge from a variety of big data including metabolomics data, as well as results of metabolism models. A variety of machine learning methods has been applied in bioinformatics and metabolism analyses including self-organizing maps, support vector machines, the kernel machine, Bayesian networks or fuzzy logic. To a lesser extent, machine learning has also been utilized to take advantage of the increasing availability of genomics and metabolomics data for the optimization of metabolic network models and their analysis. In this context, machine learning has aided the development of metabolic networks, the calculation of parameters for stoichiometric and kinetic models, as well as the analysis of major features in the model for the optimal application of bioreactors. Examples of this very interesting, albeit highly complex, application of machine learning for metabolism modeling will be the primary focus of this review presenting several different types of applications for model optimization, parameter determination or system analysis using models, as well as the utilization of several different types of machine learning technologies. PMID:29324649

Machine Learning Methods for Analysis of Metabolic Data and Metabolic Pathway Modeling.

PubMed

Cuperlovic-Culf, Miroslava

2018-01-11

Machine learning uses experimental data to optimize clustering or classification of samples or features, or to develop, augment or verify models that can be used to predict behavior or properties of systems. It is expected that machine learning will help provide actionable knowledge from a variety of big data including metabolomics data, as well as results of metabolism models. A variety of machine learning methods has been applied in bioinformatics and metabolism analyses including self-organizing maps, support vector machines, the kernel machine, Bayesian networks or fuzzy logic. To a lesser extent, machine learning has also been utilized to take advantage of the increasing availability of genomics and metabolomics data for the optimization of metabolic network models and their analysis. In this context, machine learning has aided the development of metabolic networks, the calculation of parameters for stoichiometric and kinetic models, as well as the analysis of major features in the model for the optimal application of bioreactors. Examples of this very interesting, albeit highly complex, application of machine learning for metabolism modeling will be the primary focus of this review presenting several different types of applications for model optimization, parameter determination or system analysis using models, as well as the utilization of several different types of machine learning technologies.

Assessing the Contribution of a Constructivist Learning Environment to Academic Self-Efficacy in Higher Education

ERIC Educational Resources Information Center

Alt, Dorit

2015-01-01

Self-efficacy for learning, which refers to students' beliefs in their capabilities to regulate their own learning, could determine students' motivation and academic achievement and, therefore, is significant in the learning process. This study examined how educational efforts based on constructivist theory were associated with the…

The Role of Work-Integrated Learning in Developing Students' Perceived Work Self-Efficacy

ERIC Educational Resources Information Center

Reddan, Gregory

2016-01-01

The notion of work self-efficacy is significant as the self-efficacy beliefs of an individual have considerable influence on his/her level of motivation and performance in the workplace. This paper aims to determine the effects of the learning activities of a work-integrated learning course in Exercise Science in relation to students' perceived…

Assessment Tools for Basic Army Noncommissioned Officer Training

DTIC Science & Technology

2009-05-01

2008). Optimal learning in optimal contexts : The role of self -determination in education. Canadian Psychology, 49, 233–240. Magolda, M.B.B...1999). Creating contexts for learning and self -authorship: constructive- developmental pedagogy. Nashville, TN: Vanderbilt Press. Neisser, U...participation. New York, NY: Cambridge University Press. Magolda, M.B.B. (1999). Creating contexts for learning and self -authorship: constructive

Relationship between Health Literacy and Self-Directed Learning Readiness of Older Adults

ERIC Educational Resources Information Center

Dennis, Robin Justice

2017-01-01

The primary purpose of this study was to determine if the health literacy level of older adults, age 65 and older, and the self-directed learning readiness score were correlated. After data cleaning, the number of cases was below the recommended rule of thumb. Deletion of cases indicated by the analyst of the self-directed learning readiness score…

Implications of Self-Deception for Self-Reported Intrinsic and Extrinsic Motivational Dispositions and Actual Learning Performance: A Higher Order Structural Model

ERIC Educational Resources Information Center

Hirschfeld, Robert R.; Thomas, Christopher H.; McNatt, D. Brian

2008-01-01

The authors explored implications of individuals' self-deception (a trait) for their self-reported intrinsic and extrinsic motivational dispositions and their actual learning performance. In doing so, a higher order structural model was developed and tested in which intrinsic and extrinsic motivational dispositions were underlying factors that…

Relationships between the intention to use guidelines, behaviour of insurance physicians and their determinants

PubMed Central

2013-01-01

Background We studied the intention of a group of insurance physicians to use the guidelines for depression, and their behaviour in disability assessments. We considered attitude, social norm and self-efficacy, knowledge/skills and stimuli, based on the Attitude - Social norm - self-Efficacy model (ASE model) as possible determinants of both intention and behaviour. The aim of this study was to understand the determinants of insurance physicians’ behaviour when they are expected to use guidelines in daily practice. Method A representative sample of 42 insurance physicians participated in this study. Cross-sectional data were collected by means of a questionnaire based on the ASE model. We developed the questionnaire on the basis of literature and ascertained the content validity of it. Behaviour was made to comprise both “use of the guidelines” and “change in disability assessment behaviour” by the insurance physicians. Reliability analyses were performed to form additive scales of the ASE constructs. These scales were analysed with structural equations modelling (LISREL), by modifying a start model into a final model with a good fit, within theoretical constraints. In these analyses special attention was paid to the fact that the sample size was small. Results The most important determinants of the intention and the self-reported use of the guidelines, were: the influence of colleagues, the self-efficacy of the insurance physicians in their use of the guidelines, and the way the guidelines were implemented. The intention to use the guidelines for depression was not associated with the self-reported use of these guidelines, but there proved to be a faint, positive association with the self-reported change in assessment behaviour. Conclusions Almost all the insurance physicians in this study intended to use at least elements of the guidelines. Their intention, self reported use of the guidelines and self-reported change in assessment behaviour were explored with help of the ASE model. The model suggested relationships between intention, self reported use of the guidelines and self-reported change in assessment behaviour on the on the one hand and various determinants on the other hand. Be that as it may, we see opportunities to improve insurance physicians’ guideline adherence by offering them a multifaceted training in which they learn to apply the guidelines for depression. PMID:24103198

Ethics and Justice in Learning Analytics

ERIC Educational Resources Information Center

Johnson, Jeffrey Alan

2017-01-01

The many complex challenges posed by learning analytics can best be understood within a framework of structural justice, which focuses on the ways in which the informational, operational, and organizational structures of learning analytics influence students' capacities for self-development and self-determination. This places primary…

Increasing Student Metacognition and Learning through Classroom-Based Learning Communities and Self-Assessment †

PubMed Central

Siegesmund, Amy

2016-01-01

Student overconfidence challenges success in introductory biology. This study examined the impact of classroom learning communities and self-assessment on student metacognition and subsequent impact on student epistemological beliefs, behaviors, and learning. Students wrote weekly self-assessments reflecting on the process of learning and received individual feedback. Students completed a learning strategies inventory focused on metacognition and study behaviors at the beginning and end of the semester and a Student Assessment of their Learning Gains (SALG) at the end of the semester. Results indicated significant changes in both metacognition and study behaviors over the course of the semester, with a positive impact on learning as determined by broad and singular measures. Self-assessments and SALG data demonstrated a change in student beliefs and behaviors. Taken together, these findings argue that classroom learning communities and self-assessment can increase student metacognition and change student epistemological beliefs and behaviors. PMID:27158301

Bridging the gap between self-directed learning of nurse educators and effective student support.

PubMed

Van Rensburg, Gisela H; Botma, Yvonne

2015-11-26

Self-directed learning requires the ability to identify one's own learning needs, develop and implement a plan to gain knowledge and to monitor one's own progress. A lifelong learning approach cannot be forced, since it is in essence an internally driven process. Nurse educators can, however, act as role models to empower their students to become independent learners by modelling their own self-directed learning and applying a number of techniques in supporting their students in becoming ready for self-directed learning.  The aim of the article is to describe the manifestations and implications of the gap between self-directed learning readiness of nurse educators and educational trends in supporting students.  An instrumental case study design was used to gain insight into the manifestations and implications of self-directed learning of nurse educators. Based on the authentic foci of various critical incidents and literature, data were collected and constructed into a fictitious case. The authors then deductively analysed the case by using the literature on self-directed learning readiness as departure point. Four constructs of self-directed learning were identified, namely internal motivation, planning and implementation, self-monitoring and interpersonal communication. Supportive strategies were identified from the available literature.  Nine responses by nurse educators based on the fictitious case were analysed.Analysis showed that readiness for self-directed learning in terms of the identified constructswas interrelated and not mutually exclusive of one other.  The success of lifelong learning is the ability to engage in self-directed learning which requires openness to learning opportunities, good self-concept, taking initiative and illustrating independence in learning. Conscientiousness, an informed acceptance of a responsibility for one's own learning and creativity, is vital to one's future orientation towards goal-directed learning. Knowledge and understanding of one's own and students' selfdirected learning abilities are critical for nurse educators. In the nursing profession, it has been shown that self-directed learning by the nurse educators has a direct relationship towards the development of a lifelong learning approach by their students. Supporting students towards becoming self-directed learners throughout their professional life, in turn, will impact directly on the quality of nursing and midwifery practice. (Article to follow).

Combining Vision with Voice: A Learning and Implementation Structure Promoting Teachers' Internalization of Practices Based on Self-Determination Theory

ERIC Educational Resources Information Center

Assor, Avi; Kaplan, Haya; Feinberg, Ofra; Tal, Karen

2009-01-01

We propose that self-determination theory's conceptualization of internalization may help school reformers overcome the recurrent problem of "the predictable failure of educational reform" (Sarason, 1993). Accordingly, we present a detailed learning and implementation structure to promote teachers' internalization and application of ideas and…

Learning in Physical Education: A Self-Determination Theory Perspective

ERIC Educational Resources Information Center

Sun, Haichun; Li, Weidong; Shen, Bo

2017-01-01

The purpose of this study was to review the literature relevant to learning in physical education (PE) according to the self-determination theory (SDT). In this literature review, we first provide an overview of SDT. Second, we discuss students' SDT-related motivational profiles in PE. Third, we illustrate the relationships among students'…

New Perspectives for the Evaluation of Training Sessions in Self-Regulated Learning: Time-Series Analyses of Diary Data

ERIC Educational Resources Information Center

Schmitz, Bernhard; Wiese, Bettina S.

2006-01-01

The present study combines a standardized diary approach with time-series analysis methods to investigate the process of self-regulated learning. Based on a process-focused adaptation of Zimmerman's (2000) learning model, an intervention (consisting of four weekly training sessions) to increase self-regulated learning was developed. The diaries…

A Self-Determined Perspective of the Sport Education Model

ERIC Educational Resources Information Center

Perlman, Dana; Goc Karp, Grace

2010-01-01

Background: The relationship between outcomes, such as student learning, student motivation, and continued participation in activity, remains an important research focus within physical education. In particular, research has shown that secondary students exhibit behaviors indicative of low levels of motivation. Thus, there is a need for teachers…

Development of the self-learning machine for creating models of microprocessor of single-phase earth fault protection devices in networks with isolated neutral voltage above 1000 V

NASA Astrophysics Data System (ADS)

Utegulov, B. B.; Utegulov, A. B.; Meiramova, S.

2018-02-01

The paper proposes the development of a self-learning machine for creating models of microprocessor-based single-phase ground fault protection devices in networks with an isolated neutral voltage higher than 1000 V. Development of a self-learning machine for creating models of microprocessor-based single-phase earth fault protection devices in networks with an isolated neutral voltage higher than 1000 V. allows to effectively implement mathematical models of automatic change of protection settings. Single-phase earth fault protection devices.

How are learning physics and student beliefs about learning physics connected? Measuring epistemological self-reflection in an introductory course and investigating its relationship to conceptual learning

NASA Astrophysics Data System (ADS)

May, David B.

2002-11-01

To explore students' epistemological beliefs in a variety of conceptual domains in physics, and in a specific and novel context of measurement, this Dissertation makes use of Weekly Reports, a class assignment in which students reflect in writing on what they learn each week and how they learn it. Reports were assigned to students in the introductory physics course for honors engineering majors at The Ohio State University in two successive years. The Weekly Reports of several students from the first year were analyzed for the kinds of epistemological beliefs exhibited therein, called epistemological self-reflection, and a coding scheme was developed for categorizing and quantifying this reflection. The connection between epistemological self-reflection and conceptual learning in physics seen in a pilot study was replicated in a larger study, in which the coded reflections from the Weekly Reports of thirty students were correlated with their conceptual learning gains. Although the total amount of epistemological self-reflection was not found to be related to conceptual gain, different kinds of epistemological self-reflection were. Describing learning physics concepts in terms of logical reasoning and making personal connections were positively correlated with gains; describing learning from authority figures or by observing phenomena without making inferences were negatively correlated. Linear regression equations were determined in order to quantify the effects on conceptual gain of specific ways of describing learning. In an experimental test of this model, the regression equations and the Weekly Report coding scheme developed from the first year's data were used to predict the conceptual gains of thirty students from the second year. The prediction was unsuccessful, possibly because these students were not given as much feedback on their reflections as were the first-year students. These results show that epistemological beliefs are important factors affecting the conceptual learning of physics students. Also, getting students to reflect meaningfully on their knowledge and learning is difficult and requires consistent feedback. Research into the epistemological beliefs of physics students in different contexts and from different populations can help us develop more complete models of epistemological beliefs, and ultimately improve the conceptual and epistemological knowledge of all students.

Self-Efficacy, Attitudes, and Choice of Strategies for English Pronunciation Learning

ERIC Educational Resources Information Center

Sardegna, Veronica G.; Lee, Juhee; Kusey, Crystal

2018-01-01

This article proposes a structural model of English language learners' self-efficacy beliefs, attitudes toward learning pronunciation skills, and choice of pronunciation learning strategies. Participants' responses (N = 704) to two self-reported questionnaires--Strategies for Pronunciation Improvement (SPI) inventory and Learner Attitudes for…

Upward Feedback and Its Contribution to Employees' Feeling of Self-Determination

ERIC Educational Resources Information Center

Bauer, Johannes; Mulder, Regina H.

2006-01-01

Purpose--The paper seeks to show that self-determination is a widely regarded motivational variable in educational research that relates to intrinsically motivated, self-directed learning at work. This study aimed to find out whether the possibility to provide upward feedback to supervisors contributes to employees' feelings of self-determination.…

Know Thy Student! Combining Learning Analytics and Critical Reflections to Increase Understanding of Students' Self-Regulated Learning in an Authentic Setting

ERIC Educational Resources Information Center

Colthorpe, Kay; Zimbardi, Kirsten; Ainscough, Louise; Anderson, Stephen

2015-01-01

It is well established that a student's capacity to regulate his or her own learning is a key determinant of academic success, suggesting that interventions targeting improvements in self-regulation will have a positive impact on academic performance. However, to evaluate the success of such interventions, the self-regulatory characteristics of…

SELF (Supports for Early Learning Foundations): A Non-Directed Model Demonstration Project. Final Report.

ERIC Educational Resources Information Center

Harrison, Holly

This final report describes achievements and activities of Project SELF (Supports for Early Learning Foundations), a federally funded project in New Mexico which developed, evaluated, and replicated an innovative model that provides strategies for early interventionists and families to support early learning foundations. The project identified…

Interplay of Prior Knowledge, Self-Regulation and Motivation in Complex Multimedia Learning Environments

ERIC Educational Resources Information Center

Song, H. S.; Kalet, A. L.; Plass, J. L.

2016-01-01

This study examined the direct and indirect effects of medical clerkship students' prior knowledge, self-regulation and motivation on learning performance in complex multimedia learning environments. The data from 386 medical clerkship students from six medical schools were analysed using structural equation modeling. The structural model revealed…

Self-Observation Model Employing an Instinctive Interface for Classroom Active Learning

ERIC Educational Resources Information Center

Chen, Gwo-Dong; Nurkhamid; Wang, Chin-Yeh; Yang, Shu-Han; Chao, Po-Yao

2014-01-01

In a classroom, obtaining active, whole-focused, and engaging learning results from a design is often difficult. In this study, we propose a self-observation model that employs an instinctive interface for classroom active learning. Students can communicate with virtual avatars in the vertical screen and can react naturally according to the…

Lifelong Learning as a Goal--Do Autonomy and Self-Regulation in School Result in Well Prepared Pupils?

ERIC Educational Resources Information Center

Luftenegger, Marko; Schober, Barbara; van de Schoot, Rens; Wagner, Petra; Finsterwald, Monika; Spiel, Christiane

2012-01-01

Fostering lifelong learning (LLL) is a topic of high relevance for current educational policy. School lays the cornerstone for the key components of LLL, specifically persistent motivation to learn and self-regulated learning behavior. The present study investigated the impact of classroom instruction variables on concrete determinants for these…

Self-Disclosure and Adults with Learning Disabilities: Practical Ideas about a Complex Process

ERIC Educational Resources Information Center

Gerber, Paul J.; Price, Lynda A.

2008-01-01

Self-disclosure for adults with learning disabilities is very complex after the beyond-school years. The issues of invisibility, risk/benefit, and the multiple contexts of adult functioning create many challenges in the process of disclosure. Moreover, self-disclosure, one element of the larger issue of self-determination, is viewed as an entry…

Metacognitive Beliefs, Self-Confidence and Primary Learning Environment of Sixth Grade Students

ERIC Educational Resources Information Center

Kleitman, Sabina; Gibson, Jennifer

2011-01-01

Metacognition is an integral component of a self-regulated approach to learning. The present study examined the relationships between academic self-efficacy and perceptions of one's own competence in memory and reasoning abilities, and their role in predicting the Self-confidence trait. The study also aimed to determine the role of key classroom…

The Role of International Service-Learning in Facilitating Undergraduate Students' Self-Exploration

ERIC Educational Resources Information Center

Yang, Min; Luk, Lillian Yun Yung; Webster, Beverley Joyce; Chau, Albert Wai-lap; Ma, Carol Hok Ka

2016-01-01

This article examines the role of international service-learning (ISL) in facilitating undergraduates' exploration of their conceptions of self (i.e., self-exploration). Conception of self refers to the use of values to define one's role in a social/cultural group or organization and in society, and to determine current actions and future…

Rasch measurement of self-regulated learning in an information and communication technology (ICT)-rich environment.

PubMed

Njiru, Joseph N; Waugh, Russell F

2007-01-01

This report describes how a linear scale of self-regulated learning in an ICT-rich environment was created by analysing student data using the Rasch measurement model. A person convenience sample of (N = 409) university students in Western Australia was used. The stem-item sample was initially 41, answered in two perspectives ("I aim for this" and "I actually do this"), and reduced to 16 that fitted the measurement model to form a unidimensional scale. Items for motivation (extrinsic rewards, intrinsic rewards, and social rewards), academic goals (fear of performing poorly) (but not standards), self-learning beliefs (ability and interest), task management (strategies and time management) (but not cooperative learning), Volition (action control (but not environmental control), and self-evaluation (cognitive self-evaluation and metacognition) fitted the measurement model. The proportion of observed variance considered true was 0.90. A new instrument is proposed to handle the conceptually valid but non-fitting items. Characteristics of high self-regulated learners are measured.

A student-centred feedback model for educators.

PubMed

Rudland, Joy; Wilkinson, Tim; Wearn, Andy; Nicol, Pam; Tunny, Terry; Owen, Cathy; O'Keefe, Maree

2013-04-01

Effective feedback is instrumental to effective learning. Current feedback models tend to be educator driven rather than learner-centred, with the focus on how the supervisor should give feedback rather than on the role of the learner in requesting and responding to feedback. An alternative approach emphasising the theoretical principles of student-centred and self-regulated learning is offered, drawing upon the literature and also upon the experience of the authors. The proposed feedback model places the student in the centre of the feedback process, and stresses that the attainment of student learning outcomes is influenced by the students themselves. This model emphasises the attributes of the student, particularly responsiveness, receptiveness and reflection, whilst acknowledging the important role that the context and attributes of the supervisor have in influencing the quality of feedback. Educational institutions should consider strategies to encourage and enable students to maximise the many feedback opportunities available to them. As a minimum, educators should remind students about their central role in the feedback process, and support them to develop confidence in meeting this role. In addition, supervisors may need support to develop the skills to shift the balance of responsibility and support students in precipitating feedback moments. Research is also required to validate the proposed model and to determine how to support students to adopt self-regulatory learning, with feedback as a central platform. © Blackwell Publishing Ltd 2013.

Early Prediction of Student Self-Regulation Strategies by Combining Multiple Models

ERIC Educational Resources Information Center

Sabourin, Jennifer L.; Mott, Bradford W.; Lester, James C.

2012-01-01

Self-regulated learning behaviors such as goal setting and monitoring have been found to be crucial to students' success in computer-based learning environments. Consequently, understanding students' self-regulated learning behavior has been the subject of increasing interest. Unfortunately, monitoring these behaviors in real-time has proven…

Implications of Institutionalizing Self-Regulated Learning: An Analysis from Four Sociological Perspectives

ERIC Educational Resources Information Center

Vassallo, Stephen

2011-01-01

Researchers, theorists, practitioners, and policy makers have shown interest in better preparing students to self-regulate their learning. In educational psychology, researchers have developed a number of pedagogical models and instructional strategies designed to facilitate students' self-regulated learning (SRL). This effort is demonstrative of…

An Exploratory Analysis of Personality, Attitudes, and Study Skills on the Learning Curve within a Team-based Learning Environment

PubMed Central

Henry, Teague; Campbell, Ashley

2015-01-01

Objective. To examine factors that determine the interindividual variability of learning within a team-based learning environment. Methods. Students in a pharmacokinetics course were given 4 interim, low-stakes cumulative assessments throughout the semester and a cumulative final examination. Students’ Myers-Briggs personality type was assessed, as well as their study skills, motivations, and attitudes towards team-learning. A latent curve model (LCM) was applied and various covariates were assessed to improve the regression model. Results. A quadratic LCM was applied for the first 4 assessments to predict final examination performance. None of the covariates examined significantly impacted the regression model fit except metacognitive self-regulation, which explained some of the variability in the rate of learning. There were some correlations between personality type and attitudes towards team learning, with introverts having a lower opinion of team-learning than extroverts. Conclusion. The LCM could readily describe the learning curve. Extroverted and introverted personality types had the same learning performance even though preference for team-learning was lower in introverts. Other personality traits, study skills, or practice did not significantly contribute to the learning variability in this course. PMID:25861101

An exploratory analysis of personality, attitudes, and study skills on the learning curve within a team-based learning environment.

PubMed

Persky, Adam M; Henry, Teague; Campbell, Ashley

2015-03-25

To examine factors that determine the interindividual variability of learning within a team-based learning environment. Students in a pharmacokinetics course were given 4 interim, low-stakes cumulative assessments throughout the semester and a cumulative final examination. Students' Myers-Briggs personality type was assessed, as well as their study skills, motivations, and attitudes towards team-learning. A latent curve model (LCM) was applied and various covariates were assessed to improve the regression model. A quadratic LCM was applied for the first 4 assessments to predict final examination performance. None of the covariates examined significantly impacted the regression model fit except metacognitive self-regulation, which explained some of the variability in the rate of learning. There were some correlations between personality type and attitudes towards team learning, with introverts having a lower opinion of team-learning than extroverts. The LCM could readily describe the learning curve. Extroverted and introverted personality types had the same learning performance even though preference for team-learning was lower in introverts. Other personality traits, study skills, or practice did not significantly contribute to the learning variability in this course.

A Qualitative Inquiry into the Self-Regulated Learning of First-Semester College Students

ERIC Educational Resources Information Center

Toms, Marcia L.

2013-01-01

The purpose of this study was to discover and describe the self-regulated learning (SRL) of a group of first-semester college students. Using Zimmerman's model of self-regulated learning, this study considered two major research questions: (a) how and why do first-semester college students decide to self-regulate? and (b) how do first-semester…

Effect of learning disabilities on academic self-concept in children with epilepsy and on their quality of life.

PubMed

Brabcová, Dana; Zárubová, Jana; Kohout, Jiří; Jošt, Jiří; Kršek, Pavel

2015-01-01

Academic self-concept could significantly affect academic achievement and self-confidence in children with epilepsy. However, limited attention has been devoted to determining factors influencing academic self-concept of children with epilepsy. We aimed to analyze potentially significant variables (gender, frequency of seizures, duration of epilepsy, intellectual disability, learning disability and attention deficit hyperactivity disorder) in relation to academic self-concept in children with epilepsy and to additional domains of their quality of life. The study group consisted of 182 children and adolescents aged 9-14 years who completed the SPAS (Student's Perception of Ability Scale) questionnaire determining their academic self-concept and the modified Czech version of the CHEQOL-25 (Health-Related Quality of Life Measure for Children with Epilepsy) questionnaire evaluating their health-related quality of life. Using regression analysis, we identified learning disability as a key predictor for academic-self concept of children with epilepsy. While children with epilepsy and with no learning disability exhibited results comparable to children without epilepsy, participants with epilepsy and some learning disability scored significantly lower in almost all domains of academic self-concept. We moreover found that children with epilepsy and learning disability have significantly lower quality of life in intrapersonal and interpersonal domains. In contrast to children with epilepsy and with no learning disability, these participants have practically no correlation between their quality of life and academic self-concept. Our findings suggest that considerable attention should be paid to children having both epilepsy and learning disability. It should comprise services of specialized counselors and teaching assistants with an appropriate knowledge of epilepsy and ability to empathize with these children as well as educational interventions focused on their teachers and classmates. Copyright © 2015 Elsevier Ltd. All rights reserved.

Teachers' Self-Initiated Professional Learning through Personal Learning Networks

ERIC Educational Resources Information Center

Tour, Ekaterina

2017-01-01

It is widely acknowledged that to be able to teach language and literacy with digital technologies, teachers need to engage in relevant professional learning. Existing formal models of professional learning are often criticised for being ineffective. In contrast, informal and self-initiated forms of learning have been recently recognised as…

Learning portfolio models in health regulatory colleges of Ontario, Canada.

PubMed

Tompkins, Marianne; Paquette-Frenette, Denise

2010-01-01

Health regulatory colleges promote continued competence by requiring members to submit yearly portfolios that document learning. Previous studies conclude that portfolios can be valuable tools to promote continuous learning in health college members, but portfolios are time-consuming to complete and difficult to evaluate. This exploratory study compares the features of portfolio models in regulatory colleges, as a basis for future studies. Data were collected through a document review of the portfolio models described on the Web sites of 14 Canadian health regulatory colleges. All models contain 3 common components of self-directed learning: (1) self-diagnosis, (2) learning plan and activities, and (3) self-evaluation. Several include member profiles and peer feedback. A broad range of formal, nonformal, and informal activities are accepted as evidence of learning; a few colleges restrict learners' freedom in selecting these activities. There is a dual philosophy of learning in portfolio models that includes both humanist and technical paradigms. Low numbers of members are selected for audit of completed portfolios. The possibility of last-minute preparation and the lack of support to members who struggle with self-directed learning methods are issues to be resolved. Although portfolios are designed to enhance learning and reflection, quality cannot be ensured unless compliance is enforced, and learning outcomes are measured. Professionals should be guided regarding how to complete portfolios. More health regulatory colleges should announce the number of portfolios they audit. In general, the number of portfolios audited by each profession may need to be increased.

Philosophy with Children as an Educational Platform for Self-Determined Learning

ERIC Educational Resources Information Center

Kizel, Arie

2016-01-01

This article develops a theoretical framework for understanding the applicability and relevance of Philosophy with Children in and out of schools as a platform for self-determined learning in light of the developments of the past 40 years. Based on the philosophical writings of Matthew Lipman, the father of Philosophy for Children, and in…

Comparisons of Self-Determination among Students with Autism, Intellectual Disability, and Learning Disabilities: A Multivariate Analysis

ERIC Educational Resources Information Center

Chou, Yu-Chi; Wehmeyer, Michael L.; Palmer, Susan B.; Lee, Jaehoon

2017-01-01

This study examined differences in self-determination among students with autism spectrum disorders (ASD), students with intellectual disability (ID), and students with learning disabilities (LD). A total of 222 participants with an equal size group for each of the three disability categories were selected to participate in the comparison of total…

The mediating effect of self-reflection and learning effectiveness on clinical nursing performance in nursing students: A follow-up study.

PubMed

Pai, Hsiang-Chu; Ko, Hui-Ling; Eng, Cheng-Joo; Yen, Wen-Jiuan

The effectiveness of simulation learning and the effects of anxiety in the simulated situation have been understudied. In addition, research on the association between learning effectiveness and students' clinical care performance in the hospital setting is very limited in Taiwan. The aim of this study is to examine the mediating effect of self-reflection and simulation learning effectiveness on the clinical nursing performance of nursing students. A Prospective, longitudinal, and correlational design was used. The study was conducted from December 2014 to July 2015. Participants were 293 nursing students in southern Taiwan. A structural model was specified and tested using partial least squares structural equation modeling to examine the relationships between the variables. The results revealed that the model was robust in terms of its measurement quality (reliability, validity, and goodness of fit), with the data's explaining 38.3% of variance in nursing competence. As self-reflection and learning effectiveness were added into the structural model, the effect of anxiety on nursing competence was still significant, but the regression coefficient (β) estimate of -0.41 (p<0.05) changed to β=-0.15 (p<0.050),indicating that self-reflection and learning effectiveness mediated the relationship between anxiety and nursing competence. Nursing competence was negatively affected by anxiety and positively affected by self-reflection (β=0.49, p<0.05) and simulation learning effectiveness (β=0.10, p<0.05). The teacher's encouraging learning can have a positive influence on students' self-reflection and learning effectiveness, which then decreases the effect of anxiety on nursing competence and further promotes students' clinical care ability. Copyright © 2017 Elsevier Inc. All rights reserved.

Student Use of Self-Data for Out-of-Class Graphing Activities Increases Student Engagement and Learning Outcomes†

PubMed Central

DeBoy, Cynthia A.

2017-01-01

Two out-of-class graphing activities related to hormonal regulation of the reproductive cycle and stress responses are used to determine whether student use of self-data vs. provided data increases engagement, learning outcomes, and attitude changes. Comparisons of quizzes and surveys for students using self- vs. provided data suggest that while both activities increase learning outcomes, use of self-data compared with provided data has a greater impact on increasing learning outcomes, promotes recognition that hormones are relevant, and enhances confidence in graphing skills and graphing efficacy. PMID:29854057

Self-Directed Learning Readiness, Internet Self-Efficacy and Preferences towards Constructivist Internet-Based Learning Environments among Higher-Aged Adults

ERIC Educational Resources Information Center

Chu, R. J-C.; Tsai, C-C.

2009-01-01

This article examines several research questions to establish a theory model for explaining factors that influence adult learners' preferences for constructivist Internet-based learning environments (CILE). Data were gathered from 541 individual participants enrolled in adult education institutes in Taiwan for structural equation modelling (SEM)…

A Theory of Learning (?) in Confucian Perspective

ERIC Educational Resources Information Center

Cheng, Chung-ying

2016-01-01

In this article, I present a model of four dimensions for the idea of learning in the classical Confucian perspective. This model is intended to capture the most essential four aspects of learning which explain why self-cultivation of a human person toward an end of self-fulfillment and social transformation of humanity is possible. I shall also…

Self-Regulation, Coregulation, and Socially Shared Regulation: Exploring Perspectives of Social in Self-Regulated Learning Theory

ERIC Educational Resources Information Center

Hadwin, Allyson; Oshige, Mika

2011-01-01

Background/Context: Models of self-regulated learning (SRL) have increasingly acknowledged aspects of social context influence in its process; however, great diversity exists in the theoretical positioning of "social" in these models. Purpose/Objective/Research Question/Focus of Study: The purpose of this review article is to introduce and…

Determining a Difference in Self-Directed Learning Readiness Using the Survey of Adult Learning Traits

ERIC Educational Resources Information Center

Ezell, Diana

2013-01-01

The purpose of this study was to measure the self-directed learning of educators and explore the differences between and among the variables of age, level of education, position, school district ratings, levels of poverty and affluence, and gender. The Survey of Adult Learning Traits (SALT) authored by Hogg was used as the instrument to measure…

Constructive Feedback as a Learning Tool to Enhance Students' Self-Regulation and Performance in Higher Education

ERIC Educational Resources Information Center

du Toit, Erna

2012-01-01

If feedback is provided in a way that can develop students' self-regulatory skills, it could enhance learning and, consequently, lead to improved performance. To improve teaching and learning in higher education (HE), this study sought to determine whether the feedback to first-year students affords them an opportunity to learn from it. A…

Academic Self-Efficacy, Self-Regulated Learning and Academic Performance in First-Year University Students

ERIC Educational Resources Information Center

Alegre, Alberto A.

2014-01-01

The aim of this research was to determine the relationship between academic self-efficacy, self-regulated learning and academic performance of first-year university students in the Metropolitan Lima area. An assessment was made of 284 students (138 male and 146 female students) admitted to a private university of Lima for the 2013-2 term by using…

Mathematics Self-Efficacy and Mistake-Handling Learning as Predictors of Mathematics Anxiety

ERIC Educational Resources Information Center

Aksu, Zeki; Ozkaya, Merve; Gedik, Solmaz Damla; Konyalioglu, Alper Cihan

2016-01-01

This study aims to analyze the relationship between secondary school seventh grade students' perception of mathematical self-efficacy, mistake-handling learning awareness, and mathematical anxiety; and to define the power of mistake-handling learning and self-efficacy in predicting mathematical anxiety. In this study, relational model was used and…

Influence of Psychosocial Classroom Environment on Students' Motivation and Self-Regulation in Science Learning: A Structural Equation Modeling Approach

ERIC Educational Resources Information Center

Velayutham, Sunitadevi; Aldridge, Jill M.

2013-01-01

The primary aim of this study was two-fold: 1) to identify salient psychosocial features of the classroom environment that influence students' motivation and self-regulation in science learning; and 2) to examine the effect of the motivational constructs of learning goal orientation, science task value and self-efficacy in science learning on…

The Influence of Job Characteristics and Self-Directed Learning Orientation on Workplace Learning

ERIC Educational Resources Information Center

Raemdonck, Isabel; Gijbels, David; van Groen, Willemijn

2014-01-01

Given the increasing importance of learning at work, we set out to examine the factors which influence workplace learning behaviour. The study investigated the influence of the job characteristics from Karasek's Job Demand Control Support model and the personal characteristic self-directed learning orientation on workplace learning. A total…

Factors Affecting the Use of Self-Regulated L2 Learning Strategies in Turkish FLE Context

ERIC Educational Resources Information Center

Köksal, Dinçay; Dündar, Sinem

2017-01-01

This study aims to investigate the overall self-regulated L2 learning strategy use of L2 learners depending upon the Strategic Self-Regulation (S[superscript 2]R) Model proposed by Oxford (2011), and to examine the relationships between their reported self-regulated L2 strategy use and their personality traits, identity, beliefs about L2 learning,…

The effects of a problem-based learning digital game on continuing motivation to learn science

NASA Astrophysics Data System (ADS)

Toprac, Paul K.

The purpose of this study was to determine whether playing a problem-based learning (PBL) computer game, Alien Rescue III, would promote continuing motivation (CM) to learn science, and to explore the possible sources of CM. Another goal was to determine whether CM and interest to learn science in the classroom were identical constructs. CM was defined as the pursuit of academic learning goals in noninstructional contexts that were initially encountered in the classroom. Alien Rescue was played for a total of 9 hours in the seventh grade of a private middle school with 44 students, total, participating. The study used a design-based research approach that attempted to triangulate quantitative and qualitative methods. A science knowledge test, and two self-report questionnaires---one measuring motivation and one measuring CM---were administered preintervention, postintervention, and follow-up. Qualitative data was also collected, including student interviews, classroom observations, written responses, and a science teacher interview. Repeated measures ANOVAs were used to determine any significant changes in scores. A multiple regression analysis was used to explore whether a model of CM could be determined using the Eccles' expectancy-value achievement motivation model. The constant comparative method was used to obtain relevant information from the qualitative data. Based on contradictory quantitative and qualitative findings, results were mixed as to whether students exhibited an increase in CM to learn space science. Students continued to freely engage Alien Rescue during the mid-class break, but this does not strictly adhere to the definition of CM. However, many students did find space science more interesting than anticipated and developed increased desire to learn more in class, if not outside of class. Results also suggest that CM and interest in learning more in class are separate but related constructs. Finally, no satisfactory model emerged from the multiple regression analysis but based on students' interviews, continuing interest to learn is influenced by all the components of Eccles' expectancy-value model. Response effects may have confounded quantitative results. Discussion includes challenges of researching in classrooms, CM, and Eccles' motivational model, and the tension between PBL and game based approaches. Future design recommendations and research directions are provided.

An Evaluation of "Forests of the World," a Project Learning Tree Secondary Module

ERIC Educational Resources Information Center

Ghent, Cynthia; Parmer, Giavanna; Haines, Sarah

2013-01-01

This study sought to determine whether a secondary level curricular model based on enhancing knowledge and awareness of global forest issues would have an effect on students' self-perceived knowledge of forest issues, actual content knowledge of these issues, and pro-environmental attitudes. The study instrument is the secondary module…

Teaching Problem Solving Skills to Elementary Age Students with Autism

ERIC Educational Resources Information Center

Cote, Debra L.; Jones, Vita L.; Barnett, Crystal; Pavelek, Karin; Nguyen, Hoang; Sparks, Shannon L.

2014-01-01

Students with disabilities need problem-solving skills to promote their success in solving the problems of daily life. The research into problem-solving instruction has been limited for students with autism. Using a problem-solving intervention and the Self Determined Learning Model of Instruction, three elementary age students with autism were…

The Relationship between Personal Epistemology and Self-Regulation among Turkish Elementary School Students

ERIC Educational Resources Information Center

Alpaslan, Muhammet Mustafa

2017-01-01

The purpose of the study was to determine the level of the relationship among Turkish elementary school students' personal epistemologies, motivation, learning strategies, and achievements in science. A total of 322 fifth-grade students participated in the study. Results from the structural equation modeling showed that students' personal…

High school students' scientific epistemological beliefs, self-efficacy in learning physics and attitudes toward physics: a structural equation model

NASA Astrophysics Data System (ADS)

Kapucu, Serkan; Bahçivan, Eralp

2015-05-01

Background: There are some theoretical evidences that explain the relationships between core beliefs (i.e., epistemological beliefs) and peripheral beliefs (self-efficacy in learning) in the literature. The close relationships of such type of beliefs with attitudes are also discussed by some researchers. Constructing a model that investigates these relationships by considering theoretical and empirical evidences can empower researchers to discuss these relationships more comprehensively. Purpose: The purpose of this study is to explore the relationships among Turkish high school students' scientific epistemological beliefs, self-efficacy in learning physics and their attitudes toward physics. Sample: A total of 632 high school students participated in this study; however, 269 female and 229 male (a total of 498) high school students' data were used. Design and methods: Three distinct instruments that measure scientific epistemological beliefs, self-efficacy in learning physics and attitudes toward physics were combined into a unique questionnaire form and it was distributed to high school students. To explore the relationships among these variables, structural equation modeling was used. Results: The results showed that scientific epistemological belief dimensions uncovered by the nature of knowing (source and justification) significantly and positively related to both self-efficacy in learning physics and attitudes toward other important physics dimensions. Additionally, self-efficacy in learning physics significantly and positively predicted attitudes toward multiple physics dimensions (importance, comprehension and requirement). However, epistemological belief dimensions related to the nature of knowledge (certainty and development) did not have significant impact on self-efficacy in learning physics or attitudes toward physics. Conclusions: This study concludes that there are positive and significant relationships among Turkish high school students' scientific epistemological beliefs, self-efficacy in learning physics and their attitudes toward physics.

Establishing a Dynamic Self-Adaptation Learning Algorithm of the BP Neural Network and Its Applications

NASA Astrophysics Data System (ADS)

Li, Xiaofeng; Xiang, Suying; Zhu, Pengfei; Wu, Min

2015-12-01

In order to avoid the inherent deficiencies of the traditional BP neural network, such as slow convergence speed, that easily leading to local minima, poor generalization ability and difficulty in determining the network structure, the dynamic self-adaptive learning algorithm of the BP neural network is put forward to improve the function of the BP neural network. The new algorithm combines the merit of principal component analysis, particle swarm optimization, correlation analysis and self-adaptive model, hence can effectively solve the problems of selecting structural parameters, initial connection weights and thresholds and learning rates of the BP neural network. This new algorithm not only reduces the human intervention, optimizes the topological structures of BP neural networks and improves the network generalization ability, but also accelerates the convergence speed of a network, avoids trapping into local minima, and enhances network adaptation ability and prediction ability. The dynamic self-adaptive learning algorithm of the BP neural network is used to forecast the total retail sale of consumer goods of Sichuan Province, China. Empirical results indicate that the new algorithm is superior to the traditional BP network algorithm in predicting accuracy and time consumption, which shows the feasibility and effectiveness of the new algorithm.

Examining Individual and Ecological Predictors of the Self-Determination of Students with Disabilities

ERIC Educational Resources Information Center

Shogren, Karrie A.; Wehmeyer, Michael L.; Palmer, Susan B.; Soukup, Jane Helen; Little, Todd D.; Garner, Nancy; Lawrence, Margaret

2007-01-01

This article examines the impact of multiple individual and ecological factors on the self-determination of students with learning disabilities, mild and moderate mental retardation, and other health impairments. Baseline data from a multistate, longitudinal research project evaluating interventions to promote self-determination were examined…

Role of Self-Identity and Self-Determination in English Learning among High School Students

ERIC Educational Resources Information Center

Zhou, Wanying; Zhou, Mingming

2018-01-01

A considerable amount of research has investigated the separate roles of motivation and identity in language learning. This study aimed to examine these two important constructs jointly by exploring the relationship between motivation, identity processing styles, and English learning among high school students. The hypotheses were empirically…

Enhancing Students' Self-Efficacy in Making Positive Career Decisions

ERIC Educational Resources Information Center

Reddan, Gregory

2015-01-01

Field Project A is an elective course in the Bachelor of Exercise Science program at Griffith University and includes elements of both career development learning and work-integrated learning. This paper aims to determine the effects of the learning activities and assessment items developed for the course on students' self-efficacy in making…

Rapprochement of Rotter's Social Learning Theory with Self-Esteem Constructs.

ERIC Educational Resources Information Center

Burke, Joy Patricia

1983-01-01

Offers rapprochement of Rotter's (1954) social learning theory with self-esteem and related constructs. Self constructs are defined and combined into a conceptual framework indicating the impact of their interrelations within a self-esteem system. An attribution model is used to clarify the impact of causal internalization on self-esteem.…

Subgroups of Attributional Profiles in Students with Learning Difficulties and Their Relation to Self-Concept and Academic Goals

ERIC Educational Resources Information Center

Nunez, Jose Carlos; Gonzalez-Pienda, Julio A.; Gonzalez-Pumariega, Soledad; Roces, Cristina; Alvarez, Luis; Gonzalez, Paloma; Cabanach, Ramon G.; Valle, Antonio; Rodriguez, Susana

2005-01-01

The aim of this article was fourfold: first, to determine whether there are significant differences between students with (N=173) and without learning disabilities (LD; N=172) in the dimensions of self-concept, causal attributions, and academic goals. Second, to determine whether students with LD present a uniform attributional profile or whether…

Teacher Self-Regulatory Climate: Conceptualizing an Indicator of Leader Support for Teacher Learning and Development

ERIC Educational Resources Information Center

Ford, Timothy G.; Ware, Jordan K.

2018-01-01

Few studies that examine organizational conditions conducive to teacher learning utilize social-psychological theory to explain how leader actions specifically support teachers' psychological needs as learners. We apply self-determination theory to the conceptualization of a new construct, Teacher Self-Regulatory Climate (TSRC), defined as a set…

The mediating role of metacognition in the relationship between executive function and self-regulated learning.

PubMed

Follmer, D Jake; Sperling, Rayne A

2016-12-01

Researchers have demonstrated significant relations among executive function, metacognition, and self-regulated learning. However, prior research emphasized the use of indirect measures of executive function and did not evaluate how specific executive functions are related to participants' self-regulated learning. The primary goals of the current study were to examine and test the relations among executive function, metacognition, and self-regulated learning as well as to examine how self-regulated learning is informed by executive function. The sample comprised 117 undergraduate students attending a large, Mid-Atlantic research university in the United States. Participants were individually administered direct and indirect measures of executive function, metacognition, and self-regulated learning. A mediation model specifying the relations among the regulatory constructs was proposed. In multiple linear regression analyses, executive function predicted metacognition and self-regulated learning. Direct measures of inhibition and shifting accounted for a significant amount of the variance in metacognition and self-regulated learning beyond an indirect measure of executive functioning. Separate mediation analyses indicated that metacognition mediated the relationship between executive functioning and self-regulated learning as well as between specific executive functions and self-regulated learning. The findings of this study are supported by previous research documenting the relations between executive function and self-regulated learning, and extend prior research by examining the manner in which executive function and self-regulated learning are linked. The findings provide initial support for executive functions as key processes, mediated by metacognition, that predict self-regulated learning. Implications for the contribution of executive functions to self-regulated learning are discussed. © 2016 The British Psychological Society.

A Quasi-Linear Behavioral Model and an Application to Self-Directed Learning

NASA Technical Reports Server (NTRS)

Ponton, Michael K.; Carr, Paul B.

1999-01-01

A model is presented that describes the relationship between one's knowledge of the world and the concomitant personal behaviors that serve as a mechanism to obtain desired outcomes. Integrated within this model are the differing roles that outcomes serve as motivators and as modifiers to one's worldview. The model is dichotomized between general and contextual applications. Because learner self-directedness (a personal characteristic) involves cognition and affection while self-directed learning (a pedagogic process) encompasses conation, behavior and introspection, the model can be dichotomized again in another direction. Presented also are the roles that cognitive motivation theories play in moving an individual through this behavioral model and the roles of wishes, self-efficacy, opportunity and self-influence.

Self-Learning Adaptive Umbrella Sampling Method for the Determination of Free Energy Landscapes in Multiple Dimensions

PubMed Central

Wojtas-Niziurski, Wojciech; Meng, Yilin; Roux, Benoit; Bernèche, Simon

2013-01-01

The potential of mean force describing conformational changes of biomolecules is a central quantity that determines the function of biomolecular systems. Calculating an energy landscape of a process that depends on three or more reaction coordinates might require a lot of computational power, making some of multidimensional calculations practically impossible. Here, we present an efficient automatized umbrella sampling strategy for calculating multidimensional potential of mean force. The method progressively learns by itself, through a feedback mechanism, which regions of a multidimensional space are worth exploring and automatically generates a set of umbrella sampling windows that is adapted to the system. The self-learning adaptive umbrella sampling method is first explained with illustrative examples based on simplified reduced model systems, and then applied to two non-trivial situations: the conformational equilibrium of the pentapeptide Met-enkephalin in solution and ion permeation in the KcsA potassium channel. With this method, it is demonstrated that a significant smaller number of umbrella windows needs to be employed to characterize the free energy landscape over the most relevant regions without any loss in accuracy. PMID:23814508

Walking the Talk: Fostering Self-Regulated Learning in the Classroom.

ERIC Educational Resources Information Center

Ridley, D. Scott; And Others

1994-01-01

Describes how teachers can transform self-regulated learning theory and research into classroom practice. Defines the concept and discusses the costs of encouraging student dependency, the benefits of nurturing student self-regulation, and implementation recommendations. Teachers should model self-regulatory attitudes and behaviors, incorporate…

Promoting the self-regulation of clinical reasoning skills in nursing students.

PubMed

Kuiper, R; Pesut, D; Kautz, D

2009-10-02

The purpose of this paper is to describe the research surrounding the theories and models the authors united to describe the essential components of clinical reasoning in nursing practice education. The research was conducted with nursing students in health care settings through the application of teaching and learning strategies with the Self-Regulated Learning Model (SRL) and the Outcome-Present-State-Test (OPT) Model of Reflective Clinical Reasoning. Standardized nursing languages provided the content and clinical vocabulary for the clinical reasoning task. This descriptive study described the application of the OPT model of clinical reasoning, use of nursing language content, and reflective journals based on the SRL model with 66 undergraduate nursing students over an 8 month period of time. The study tested the idea that self-regulation of clinical reasoning skills can be developed using self-regulation theory and the OPT model. This research supports a framework for effective teaching and learning methods to promote and document learner progress in mastering clinical reasoning skills. Self-regulated Learning strategies coupled with the OPT model suggest benefits of self-observation and self-monitoring during clinical reasoning activities, and pinpoints where guidance is needed for the development of cognitive and metacognitive awareness. Thinking and reasoning about the complexities of patient care needs requires attention to the content, processes and outcomes that make a nursing care difference. These principles and concepts are valuable to clinical decision making for nurses globally as they deal with local, regional, national and international health care issues.

Taiwanese Students' Science Learning Self-Efficacy and Teacher and Student Science Hardiness: A Multilevel Model Approach

ERIC Educational Resources Information Center

Wang, Ya-Ling; Tsai, Chin-Chung

2016-01-01

This study aimed to investigate the factors accounting for science learning self-efficacy (the specific beliefs that people have in their ability to complete tasks in science learning) from both the teacher and the student levels. We thus propose a multilevel model to delineate its relationships with teacher and student science hardiness (i.e.,…

NCS-1 dependent learning bonus and behavior outputs of self-directed exploration

NASA Astrophysics Data System (ADS)

Mun, Ho-Suk

Animals explore a new environment and learn about their surroundings. "Exploration" refers to all activities that increase the information obtained from an animal. For this study, I determined a molecule that mediates self-directed exploration, with a particular focus on rearing behavior and vocalization. Rearing can be either self-directed exploration or escape-oriented exploration. Self-directed exploration can be driven by the desire to gather information about environments while escape-oriented exploration can be driven by fear or anxiety. To differentiate between these two concepts, I compared rearing and other behaviors in three different conditions 1) novel dim (safe environment), which induces exploration based rearing; 2) novel bright (fearful environment), which elicits fear driven rearing; and 3) familiar environment as a control. First, I characterized the effects on two distinct types of environment in exploratory behavior and its effect on learning. From this, I determined that self-directed exploration enhances spatial learning while escape-oriented exploration does not produce a learning bonus. Second, I found that NCS-1 is involved in exploration, as well as learning and memory, by testing mice with reduced levels of Ncs-1 by point mutation and also siRNA injection. Finally, I illustrated other behavior outputs and neural substrate activities, which co-occurred during either self-directed or escape-oriented exploration. I found that high-frequency ultrasonic vocalizations occurred during self-directed exploration while low-frequency calls were emitted during escape-oriented exploration. Also, with immediate early gene imaging techniques, I found hippocampus and nucleus accumbens activation in self-directed exploration. This study is the first comprehensive molecular analysis of learning bonus in self-directed exploration. These results may be beneficial for studying underlying mechanisms of neuropsychiatric disease, and also reveal therapeutic targets for them.

Examining the Relations of Time Management and Procrastination within a Model of Self-Regulated Learning

ERIC Educational Resources Information Center

Wolters, Christopher A.; Won, Sungjun; Hussain, Maryam

2017-01-01

The primary goal of this study was to investigate whether college students' academic time management could be used to understand their engagement in traditional and active forms of procrastination within a model of self-regulated learning. College students (N = 446) completed a self-report survey that assessed motivational and strategic aspects of…

The Role of Gender in Distance Learning: A Meta-Analytic Review of Gender Differences in Academic Performance and Self-Efficacy in Distance Learning

ERIC Educational Resources Information Center

Perkowski, Justine

2013-01-01

This meta-analytic review was performed to determine the relationship between gender and two constructs measuring success in distance learning--academic performance and self-efficacy--with a particular interest in identifying whether females or males have an advantage in distance learning environments. Data from 15 studies resulted in 18 effect…

Self Modeling: Expanding the Theories of Learning

ERIC Educational Resources Information Center

Dowrick, Peter W.

2012-01-01

Self modeling (SM) offers a unique expansion of learning theory. For several decades, a steady trickle of empirical studies has reported consistent evidence for the efficacy of SM as a procedure for positive behavior change across physical, social, educational, and diagnostic variations. SM became accepted as an extreme case of model similarity;…

Self-regulatory Behaviors and Approaches to Learning of Arts Students: A Comparison Between Professional Training and English Learning.

PubMed

Tseng, Min-Chen; Chen, Chia-Cheng

2017-06-01

This study investigated the self-regulatory behaviors of arts students, namely memory strategy, goal-setting, self-evaluation, seeking assistance, environmental structuring, learning responsibility, and planning and organizing. We also explored approaches to learning, including deep approach (DA) and surface approach (SA), in a comparison between students' professional training and English learning. The participants consisted of 344 arts majors. The Academic Self-Regulation Questionnaire and the Revised Learning Process Questionnaire were adopted to examine students' self-regulatory behaviors and their approaches to learning. The results show that a positive and significant correlation was found in students' self-regulatory behaviors between professional training and English learning. The results indicated that increases in using self-regulatory behaviors in professional training were associated with increases in applying self-regulatory behaviors in learning English. Seeking assistance, self-evaluation, and planning and organizing were significant predictors for learning English. In addition, arts students used the deep approach more often than the surface approach in both their professional training and English learning. A positive correlation was found in DA, whereas a negative correlation was shown in SA between students' self-regulatory behaviors and their approaches to learning. Students with high self-regulation adopted a deep approach, and they applied the surface approach less in professional training and English learning. In addition, a SEM model confirmed that DA had a positive influence; however, SA had a negative influence on self-regulatory behaviors.

Strengthening Teacher's Learning Management for Self-Reliance of Students in Thai Secondary School

ERIC Educational Resources Information Center

Paso, Chalad; Chantarasombat, Chalard; Tirasiravech, Watanachai

2017-01-01

This research aimed to 1) study the present conditions, problems, and needs of teachers development in learning management in self-reliance for students in secondary schools, 2) develop a model for teacher development in learning management in self-reliance for students in secondary schools, and 3) evaluate the results of usage from teachers in…

Modeling of biologically motivated self-learning equivalent-convolutional recurrent-multilayer neural structures (BLM_SL_EC_RMNS) for image fragments clustering and recognition

NASA Astrophysics Data System (ADS)

Krasilenko, Vladimir G.; Lazarev, Alexander A.; Nikitovich, Diana V.

2018-03-01

The biologically-motivated self-learning equivalence-convolutional recurrent-multilayer neural structures (BLM_SL_EC_RMNS) for fragments images clustering and recognition will be discussed. We shall consider these neural structures and their spatial-invariant equivalental models (SIEMs) based on proposed equivalent two-dimensional functions of image similarity and the corresponding matrix-matrix (or tensor) procedures using as basic operations of continuous logic and nonlinear processing. These SIEMs can simply describe the signals processing during the all training and recognition stages and they are suitable for unipolar-coding multilevel signals. The clustering efficiency in such models and their implementation depends on the discriminant properties of neural elements of hidden layers. Therefore, the main models and architecture parameters and characteristics depends on the applied types of non-linear processing and function used for image comparison or for adaptive-equivalent weighing of input patterns. We show that these SL_EC_RMNSs have several advantages, such as the self-study and self-identification of features and signs of the similarity of fragments, ability to clustering and recognize of image fragments with best efficiency and strong mutual correlation. The proposed combined with learning-recognition clustering method of fragments with regard to their structural features is suitable not only for binary, but also color images and combines self-learning and the formation of weight clustered matrix-patterns. Its model is constructed and designed on the basis of recursively continuous logic and nonlinear processing algorithms and to k-average method or method the winner takes all (WTA). The experimental results confirmed that fragments with a large numbers of elements may be clustered. For the first time the possibility of generalization of these models for space invariant case is shown. The experiment for an images of different dimensions (a reference array) and fragments with diferent dimensions for clustering is carried out. The experiments, using the software environment Mathcad showed that the proposed method is universal, has a significant convergence, the small number of iterations is easily, displayed on the matrix structure, and confirmed its prospects. Thus, to understand the mechanisms of self-learning equivalence-convolutional clustering, accompanying her to the competitive processes in neurons, and the neural auto-encoding-decoding and recognition principles with the use of self-learning cluster patterns is very important which used the algorithm and the principles of non-linear processing of two-dimensional spatial functions of images comparison. The experimental results show that such models can be successfully used for auto- and hetero-associative recognition. Also they can be used to explain some mechanisms, known as "the reinforcementinhibition concept". Also we demonstrate a real model experiments, which confirm that the nonlinear processing by equivalent function allow to determine the neuron-winners and customize the weight matrix. At the end of the report, we will show how to use the obtained results and to propose new more efficient hardware architecture of SL_EC_RMNS based on matrix-tensor multipliers. Also we estimate the parameters and performance of such architectures.

Teaching Assistant Development through a Fresh Lens: A Self-Determination Framework

ERIC Educational Resources Information Center

Hardre, Patricia L.

2013-01-01

Self-determination Theory (SDT) presents critical constructs and processes for understanding and improving human learning and development. Though actively utilized as a theoretical framework for K-12 and adult training research, it has been virtually ignored in TA professional development design and research. Self-determination and the process of…

Effects of Picture Activity Schedules on Tasks Completed

ERIC Educational Resources Information Center

Morrisett, Michael Eric

2015-01-01

Self-determination is the freedom to make choices that impact an individual's life. Many people would agree that self-determination leads to an enhanced quality of life, and choice making is considered a central element in self-determination. Most learn choice making through a gradual release of responsibility by caregivers throughout their…

Urban Studies: A Learning Model.

ERIC Educational Resources Information Center

Cooper, Terry L.; Sundeen, Richard

1979-01-01

The urban studies learning model described in this article was found to increase students' self-esteem, imbue a more flexible and open perspective, contribute to the capacity for self-direction, produce increases on the feeling reactivity, spontaneity, and acceptance of aggression scales, and expand interpersonal competence. (Author/WI)

Beyond Model Answers: Learners' Perceptions of Self-Assessment Materials in E-Learning Applications

ERIC Educational Resources Information Center

Handley, Karen; Cox, Benita

2007-01-01

The importance of feedback as an aid to self-assessment is widely acknowledged. A common form of feedback that is used widely in e-learning is the use of model answers. However, model answers are deficient in many respects. In particular, the notion of a "model" answer implies the existence of a single correct answer applicable across multiple…

Learning climate and feedback as predictors of dental students' self-determined motivation: The mediating role of basic psychological needs satisfaction.

PubMed

Orsini, C; Binnie, V; Wilson, S; Villegas, M J

2018-05-01

The aim of this study was to test the mediating role of the satisfaction of dental students' basic psychological needs of autonomy, competence and relatedness on the association between learning climate, feedback and student motivation. The latter was based on the self-determination theory's concepts of differentiation of autonomous motivation, controlled motivation and amotivation. A cross-sectional correlational study was conducted where 924 students completed self-reported questionnaires measuring motivation, perception of the learning climate, feedback and basic psychological needs satisfaction. Descriptive statistics, Cronbach's alpha scores and bivariate correlations were computed. Mediation of basic needs on each predictor-outcome association was tested based on a series of regression analyses. Finally, all variables were integrated into one structural equation model, controlling for the effects of age, gender and year of study. Cronbach's alpha scores were acceptable (.655 to .905). Correlation analyses showed positive and significant associations between both an autonomy-supportive learning climate and the quantity and quality of feedback received, and students' autonomous motivation, which decreased and became negative when correlated with controlled motivation and amotivation, respectively. Regression analyses revealed that these associations were indirect and mediated by how these predictors satisfied students' basic psychological needs. These results were corroborated by the structural equation analysis, in which data fit the model well and regression paths were in the expected direction. An autonomy-supportive learning climate and the quantity and quality of feedback were positive predictors of students' autonomous motivation and negative predictors of amotivation. However, this was an indirect association mediated by the satisfaction of students' basic psychological needs. Consequently, supporting students' needs of autonomy, competence and relatedness might lead to optimal types of motivation, which has an important influence on dental education. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

The Relationship of Self-Determination Skills, Use of Accommodations, and Use of Services to Academic Success in Undergraduate Juniors and Seniors with Learning Disabilities

ERIC Educational Resources Information Center

Humphrey, Marja J. B.

2010-01-01

Students with disabilities are entering colleges and universities across the nation in ever-increasing numbers, with the greatest percentage being students with learning disabilities (LD). Yet, students with disabilities often do not graduate from college at the same rate as students without disabilities. Self-determination is an important skill…

Identifying Configurations of Perceived Teacher Autonomy Support and Structure: Associations with Self-Regulated Learning, Motivation and Problem Behavior

ERIC Educational Resources Information Center

Vansteenkiste, Maarten; Sierens, Eline; Goossens, Luc; Soenens, Bart; Dochy, Filip; Mouratidis, Athanasios; Aelterman, Nathalie; Haerens, Leen; Beyers, Wim

2012-01-01

Grounded in self-determination theory, the aim of this study was (a) to examine naturally occurring configurations of perceived teacher autonomy support and clear expectations (i.e., a central aspect of teacher structure), and (b) to investigate associations with academic motivation, self-regulated learning, and problem behavior. Based on…

Interaction Equivalency in Self-Paced Online Learning Environments: An Exploration of Learner Preferences

ERIC Educational Resources Information Center

Rhode, Jason F.

2009-01-01

This mixed methods study explored the dynamics of interaction within a self-paced online learning environment. It used rich media and a mix of traditional and emerging asynchronous computer-mediated communication tools to determine what forms of interaction learners in a self-paced online course value most and what impact they perceive interaction…

The Perceptions of Temporal Path Analysis of Learners' Self-Regulation on Learning Stress and Social Relationships in Junior High School

ERIC Educational Resources Information Center

Chang, Hsiu-Ju

2016-01-01

This research focus on the temporal path analysis of learning stress, test anxiety, peer stress (classmate relatedness), teacher relatedness, autonomy, and self-regulative performance in junior high school. Owing to the processes of self-determination always combines several negotiations with the interactive perceptions of personal experiences and…

Investigating the Impact of Snacks on Secondary School Students' Science Learning and Science Self-Efficacy

ERIC Educational Resources Information Center

Knowles, Reco T.

2012-01-01

The purpose of this study was to determine the impact of Snacks on secondary school students' science learning and science self-efficacy. This study also explored the relationship between teacher science self-efficacy and confidence. The study utilized thirteen (13) teachers participating in an inquiry science professional development that…

Investigating Students' Acceptance and Self-Efficacy of E-Learning at Al-Aqsa University Based on TAM Model

ERIC Educational Resources Information Center

Mahdi, Hasan Rebhi

2014-01-01

The study aimed at investigating the influence of E-learning Self-Efficacy (ELSE) on the acceptance of e-learning by using the Technology Acceptance Model (TAM). According to the TAM which used as the theoretical basis, both of the Perceived Usefulness (PU) and the Perceived Ease of Use (PEOU) influence directly the end user's Behavioral Intention…

Self-Control of Haptic Assistance for Motor Learning: Influences of Frequency and Opinion of Utility

PubMed Central

Williams, Camille K.; Tseung, Victrine; Carnahan, Heather

2017-01-01

Studies of self-controlled practice have shown benefits when learners controlled feedback schedule, use of assistive devices and task difficulty, with benefits attributed to information processing and motivational advantages of self-control. Although haptic assistance serves as feedback, aids task performance and modifies task difficulty, researchers have yet to explore whether self-control over haptic assistance could be beneficial for learning. We explored whether self-control of haptic assistance would be beneficial for learning a tracing task. Self-controlled participants selected practice blocks on which they would receive haptic assistance, while participants in a yoked group received haptic assistance on blocks determined by a matched self-controlled participant. We inferred learning from performance on retention tests without haptic assistance. From qualitative analysis of open-ended questions related to rationales for/experiences of the haptic assistance that was chosen/provided, themes emerged regarding participants’ views of the utility of haptic assistance for performance and learning. Results showed that learning was directly impacted by the frequency of haptic assistance for self-controlled participants only and view of haptic assistance. Furthermore, self-controlled participants’ views were significantly associated with their requested haptic assistance frequency. We discuss these findings as further support for the beneficial role of self-controlled practice for motor learning. PMID:29255438

Effects of Two Types of Self-Regulatory Instruction Programs on Students with Learning Disabilities in Writing Products, Processes, and Self-Efficacy

ERIC Educational Resources Information Center

Garcia-Sanchez, Jesus-Nicasio; Fidalgo-Redondo, Raquel

2006-01-01

We examined the differential effects of the social cognitive model of sequential skill acquisition (SCM intervention) and the self-regulated strategy development model (SRSD intervention) for writing. One hundred and twenty-one 5th- and 6th-grade Spanish students with learning disabilities (LD) and/or low achievement (LA) were randomly assigned…

The Impact of Curriculum Developed in Line with Authentic Learning on the Teacher Candidates' Success, Attitude and Self-Directed Learning Skills

ERIC Educational Resources Information Center

Hursen, Cigdem

2016-01-01

The purpose of this study is to determine the impact of the curriculum developed in line with authentic learning on the teacher candidates' success, attitudes towards courses and self-directed learning skills. The study, that is quantitative in nature, is carried out with 64 teacher candidates studying at Near East University and taking the course…

Self-directed learning readiness and learning styles among Saudi undergraduate nursing students.

PubMed

El-Gilany, Abdel-Hady; Abusaad, Fawzia El Sayed

2013-09-01

Self-directed learning has become a focus for nursing education in the past few decades due to the complexity and changes in nursing profession development. On the other hand, the Kolb's learning style could identify student's preference for perceiving and processing information. This study was performed to determine Saudi nursing students' readiness for self-directed learning; to identify their learning styles and to find out the relation between these two concepts. Cross-sectional descriptive study. Nursing department of faculty of Applied Medical Sciences, Al-Jouf University, Saudi Arabia. Two hundred and seventy-five undergraduate Saudi nursing students. Data was collected using self-administered questionnaires covering the demographic features of students, Fisher's self-directed learning readiness (SDLR) scale, and the Kolb's learning styles inventory. The mean scores of self-management, desire for learning, self-control and the overall SDLR were 51.3 ± 5.9, 48.4 ± 5.5, 59.9 ± 6.7, and 159.6 ± 13.8; respectively. About 77% (211) of students have high level of SDLR. The percentages of converger, diverger, assimilator and accommodator learning styles are 35.6%, 25.8%, 25.55% and 13.1%; respectively. The mean score of self-management, desire for learning, self-control and overall SDLR scale did not vary with any of the studied variables. There is no association between the level of SDLR and the learning styles. The high level of SDLR and the dominant converger learning style among undergraduate nursing students will have a positive implication for their education and post-employment continuing nursing education. Copyright © 2012 Elsevier Ltd. All rights reserved.

In Touch with Molecules: Improving Student Learning with Innovative Molecular Models

ERIC Educational Resources Information Center

Davenport, Jodi; Silberglitt, Matt; Olson, Arthur

2013-01-01

How do viruses self-assemble? Why do DNA bases pair the way they do? What factors determine whether strands of proteins fold into sheets or helices? Why does handedness matter? A deep understanding of core issues in biology requires students to understand both complex spatial structures of molecules and the interactions involved in dynamic…

Learning "A La Carte": A Theory-Based Tool for Maximizing Student Engagement

ERIC Educational Resources Information Center

Sibold, Jeremy

2016-01-01

It is well-established that motivation is a critical component of one's best performance of a task. A primary model in the field of motivation is the self-determination theory (SDT). The three pillars of SDT include competency, autonomy, and relatedness; when supported these have been shown to improve the quality, consistency, and persistence of…

Modeling Augmented Reality Games with Preservice Elementary and Secondary Science Teachers

ERIC Educational Resources Information Center

Burton, Erin Peters; Frazier, Wendy; Annetta, Leonard; Lamb, Richard; Cheng, Rebecca; Chmiel, Margaret

2011-01-01

Cell phones are ever-present in daily life, yet vastly underused in the formal science classroom. The purpose of this study was to implement a novel learning tool on cell phones, Augmented Reality Games, and determine how the interaction influenced preservice teachers' content knowledge and self-efficacy of cell phone use in schools. Results show…

An explanatory model of academic achievement based on aptitudes, goal orientations, self-concept and learning strategies.

PubMed

Miñano Pérez, Pablo; Castejón Costa, Juan-Luis; Gilar Corbí, Raquel

2012-03-01

As a result of studies examining factors involved in the learning process, various structural models have been developed to explain the direct and indirect effects that occur between the variables in these models. The objective was to evaluate a structural model of cognitive and motivational variables predicting academic achievement, including general intelligence, academic self-concept, goal orientations, effort and learning strategies. The sample comprised of 341 Spanish students in the first year of compulsory secondary education. Different tests and questionnaires were used to evaluate each variable, and Structural Equation Modelling (SEM) was applied to contrast the relationships of the initial model. The model proposed had a satisfactory fit, and all the hypothesised relationships were significant. General intelligence was the variable most able to explain academic achievement. Also important was the direct influence of academic self-concept on achievement, goal orientations and effort, as well as the mediating ability of effort and learning strategies between academic goals and final achievement.

Relationships among constructivist learning environment perceptions, motivational beliefs, self-regulation and science achievement

NASA Astrophysics Data System (ADS)

Kingir, Sevgi; Tas, Yasemin; Gok, Gulsum; Sungur Vural, Semra

2013-11-01

Background. There are attempts to integrate learning environment research with motivation and self-regulation research that considers social context influences an individual's motivation, self-regulation and, in turn, academic performance. Purpose. This study explored the relationships among constructivist learning environment perception variables (personal relevance, uncertainty, shared control, critical voice, student negotiation), motivational beliefs (self-efficacy, intrinsic interest, goal orientation), self-regulation, and science achievement. Sample. The sample for this study comprised 802 Grade 8 students from 14 public middle schools in a district of Ankara in Turkey. Design and methods. Students were administered 4 instruments: Constructivist Learning Environment Survey, Goal Achievement Questionnaire, Motivated Strategies for Learning Questionnaire, and Science Achievement Test. LISREL 8.7 program with SIMPLIS programming language was used to test the conceptual model. Providing appropriate fit indices for the proposed model, the standardized path coefficients for direct effects were examined. Results. At least one dimension of the constructivist learning environment was associated with students' intrinsic interest, goal orientation, self-efficacy, self-regulation, and science achievement. Self-efficacy emerged as the strongest predictor of both mastery and performance avoidance goals rather than the approach goals. Intrinsic value was found to be significantly linked to science achievement through its effect on self-regulation. The relationships between self-efficacy and self-regulation and between goal orientation and science achievement were not significant. Conclusion. In a classroom environment supporting student autonomy and control, students tend to develop higher interest in tasks, use more self-regulatory strategies, and demonstrate higher academic performance. Science teachers are highly recommended to consider these findings when designing their lessons. For the creation of such a learning environment, teachers can design open-ended inquiry activities in which students have opportunities to take responsibility, reflect on their views, and accomplish challenging tasks.

Determinants of exercise among children. II. A longitudinal analysis.

PubMed

DiLorenzo, T M; Stucky-Ropp, R C; Vander Wal, J S; Gotham, H J

1998-01-01

Research has demonstrated that physical activity serves an important preventive function against the development of cardiovascular disease. The recognition that U.S. children are often sedentary, coupled with the observation that physical activity habits tend to persist into adulthood, has prompted the investigation of exercise determinants consistent with social learning theory. The purposes of the present study were to identify social learning variables relevant to children's exercise and to explore the longitudinal predictive value of the determinants. Data were collected from 111 families (N = 54 girls, N = 57 boys) who were interviewed in both Phase 1 (fifth and sixth grades) and Phase 2 (eight and ninth grades) of this study. Data from mothers (N = 111) were collected during both phases; data from 80 fathers were collected at Phase 2 only. The results of simultaneous stepwise regression analyses indicated that child's enjoyment of physical activity was the only consistent predictor of physical activity during Phase 1. At Phase 2, child's exercise knowledge, mother's physical activity, and child's and mother's friend modeling/support emerged as predictors for girls. For boys, child's self-efficacy for physical activity, exercise knowledge, parental modeling, and interest in sports media were important. Longitudinally, mother's self-efficacy, barriers to exercise, enjoyment of physical activity, and child's self-efficacy for physical activity were important for girls. Only child's exercise knowledge predicted boys' physical activity. The addition of information from fathers nearly doubled the explanatory power of the predictors for both genders. Socialization in the family unit exerts a tremendous influence on health-related behaviors such as exercise. The relative importance of determinants seems to differ for girls and boys and the pattern of these determinants appears to change over time.

Agent-specific learning signals for self-other distinction during mentalising.

PubMed

Ereira, Sam; Dolan, Raymond J; Kurth-Nelson, Zeb

2018-04-01

Humans have a remarkable ability to simulate the minds of others. How the brain distinguishes between mental states attributed to self and mental states attributed to someone else is unknown. Here, we investigated how fundamental neural learning signals are selectively attributed to different agents. Specifically, we asked whether learning signals are encoded in agent-specific neural patterns or whether a self-other distinction depends on encoding agent identity separately from this learning signal. To examine this, we tasked subjects to learn continuously 2 models of the same environment, such that one was selectively attributed to self and the other was selectively attributed to another agent. Combining computational modelling with magnetoencephalography (MEG) enabled us to track neural representations of prediction errors (PEs) and beliefs attributed to self, and of simulated PEs and beliefs attributed to another agent. We found that the representational pattern of a PE reliably predicts the identity of the agent to whom the signal is attributed, consistent with a neural self-other distinction implemented via agent-specific learning signals. Strikingly, subjects exhibiting a weaker neural self-other distinction also had a reduced behavioural capacity for self-other distinction and displayed more marked subclinical psychopathological traits. The neural self-other distinction was also modulated by social context, evidenced in a significantly reduced decoding of agent identity in a nonsocial control task. Thus, we show that self-other distinction is realised through an encoding of agent identity intrinsic to fundamental learning signals. The observation that the fidelity of this encoding predicts psychopathological traits is of interest as a potential neurocomputational psychiatric biomarker.

Supporting Self-Regulated Learning for College Students with Asperger Syndrome: Exploring the "Strategies for College Learning" Model

ERIC Educational Resources Information Center

Ness, Bryan M.

2013-01-01

In this study, I piloted the feasibility, effects, and perceived acceptability of a peer mentoring intervention targeting academic achievement and self-regulated learning (SRL) for three college students with Asperger syndrome. The approach, dubbed Strategies for College Learning (SCL), features individualized assessment of academic performance in…

Rethinking College Students' Self-Regulation and Sustained Attention: Does Text Messaging during Class Influence Cognitive Learning?

ERIC Educational Resources Information Center

Wei, Fang-Yi Flora; Wang, Y. Ken; Klausner, Michael

2012-01-01

This study investigated whether texting during class influences students' cognitive learning. A theoretical model was proposed to study the relationships among college students' self-regulation, texting during class, sustained attention to classroom learning, and cognitive learning (i.e., grade-oriented academic performance and experience-oriented…

The role of personal self-regulation and regulatory teaching to predict motivational-affective variables, achievement, and satisfaction: a structural model

PubMed Central

De la Fuente, Jesus; Zapata, Lucía; Martínez-Vicente, Jose M.; Sander, Paul; Cardelle-Elawar, María

2014-01-01

The present investigation examines how personal self-regulation (presage variable) and regulatory teaching (process variable of teaching) relate to learning approaches, strategies for coping with stress, and self-regulated learning (process variables of learning) and, finally, how they relate to performance and satisfaction with the learning process (product variables). The objective was to clarify the associative and predictive relations between these variables, as contextualized in two different models that use the presage-process-product paradigm (the Biggs and DEDEPRO models). A total of 1101 university students participated in the study. The design was cross-sectional and retrospective with attributional (or selection) variables, using correlations and structural analysis. The results provide consistent and significant empirical evidence for the relationships hypothesized, incorporating variables that are part of and influence the teaching–learning process in Higher Education. Findings confirm the importance of interactive relationships within the teaching–learning process, where personal self-regulation is assumed to take place in connection with regulatory teaching. Variables that are involved in the relationships validated here reinforce the idea that both personal factors and teaching and learning factors should be taken into consideration when dealing with a formal teaching–learning context at university. PMID:25964764

Socialization and Adolescent Self-Esteem: Symbolic Interaction and Social Learning Explanations.

ERIC Educational Resources Information Center

Openshaw, D. Kim; And Others

1983-01-01

Investigated the effects of social learning and symbolic interaction on adolescent self-esteem. Adolescents (N=368) and their parents completed measures of self-esteem, parental behavior and parental power. Results suggested adolescent self-esteem is more a function of social interaction and the reflected appraisals of others than a modeling of…

Developing a Structural Model on the Relationship among Motivational Beliefs, Self-Regulated Learning Strategies, and Achievement in Mathematics

ERIC Educational Resources Information Center

Fadlelmula, Fatma Kayan; Cakiroglu, Erdinc; Sungur, Semra

2015-01-01

This study examines the interrelationships among students' motivational beliefs (i.e. achievement goal orientations, perception of classroom goal structure, and self-efficacy), use of self-regulated learning strategies (i.e. elaboration, organization, and metacognitive self-regulation strategies), and achievement in mathematics, by proposing and…

Effects of Self-Perceptions on Self-Learning among Teacher Education Students

ERIC Educational Resources Information Center

Liu, Shih-Hsiung

2015-01-01

This study evaluates the multivariate hypothesized model that predicts the significance of, and relationships among, various self-perception factors for being a qualified teacher and their direct and mediated effects on self-learning activities among teacher education students. A total of 248 teacher education students enrolled at an education…

Internet-Specific Epistemic Beliefs and Self-Regulated Learning in Online Academic Information Searching

ERIC Educational Resources Information Center

Chiu, Yen-Lin; Liang, Jyh-Chong; Tsai, Chin-Chung

2013-01-01

Epistemic beliefs have been considered as important components of the self-regulatory model; however, their relationships with self-regulated learning processes in the Internet context need further research. The main purpose of this study was to examine the relationships between Internet-specific epistemic belief dimensions and self-regulated…

Promoting the Self-Regulation of Clinical Reasoning Skills in Nursing Students

PubMed Central

Kuiper, R; Pesut, D; Kautz, D

2009-01-01

Aim: The purpose of this paper is to describe the research surrounding the theories and models the authors united to describe the essential components of clinical reasoning in nursing practice education. The research was conducted with nursing students in health care settings through the application of teaching and learning strategies with the Self-Regulated Learning Model (SRL) and the Outcome-Present-State-Test (OPT) Model of Reflective Clinical Reasoning. Standardized nursing languages provided the content and clinical vocabulary for the clinical reasoning task. Materials and Methods: This descriptive study described the application of the OPT model of clinical reasoning, use of nursing language content, and reflective journals based on the SRL model with 66 undergraduate nursing students over an 8 month period of time. The study tested the idea that self-regulation of clinical reasoning skills can be developed using self-regulation theory and the OPT model. Results: This research supports a framework for effective teaching and learning methods to promote and document learner progress in mastering clinical reasoning skills. Self-regulated Learning strategies coupled with the OPT model suggest benefits of self-observation and self-monitoring during clinical reasoning activities, and pinpoints where guidance is needed for the development of cognitive and metacognitive awareness. Recommendations and Conclusions: Thinking and reasoning about the complexities of patient care needs requires attention to the content, processes and outcomes that make a nursing care difference. These principles and concepts are valuable to clinical decision making for nurses globally as they deal with local, regional, national and international health care issues. PMID:19888432

Autonomous Motivation for Teaching: How Self-Determined Teaching May Lead to Self-Determined Learning

ERIC Educational Resources Information Center

Roth, Guy; Assor, Avi; Kanat-Maymon, Yaniv; Kaplan, Haya

2007-01-01

This study examined teachers' experience of autonomous motivation for teaching and its correlates in teachers and students. It was hypothesized that teachers would perceive various motivations posited by E. L. Deci and R. M. Ryan's (2000) self-determination theory as falling along a continuum of autonomous motivation for teaching. Autonomous…

Machine learning approaches to the social determinants of health in the health and retirement study.

PubMed

Seligman, Benjamin; Tuljapurkar, Shripad; Rehkopf, David

2018-04-01

Social and economic factors are important predictors of health and of recognized importance for health systems. However, machine learning, used elsewhere in the biomedical literature, has not been extensively applied to study relationships between society and health. We investigate how machine learning may add to our understanding of social determinants of health using data from the Health and Retirement Study. A linear regression of age and gender, and a parsimonious theory-based regression additionally incorporating income, wealth, and education, were used to predict systolic blood pressure, body mass index, waist circumference, and telomere length. Prediction, fit, and interpretability were compared across four machine learning methods: linear regression, penalized regressions, random forests, and neural networks. All models had poor out-of-sample prediction. Most machine learning models performed similarly to the simpler models. However, neural networks greatly outperformed the three other methods. Neural networks also had good fit to the data ( R 2 between 0.4-0.6, versus <0.3 for all others). Across machine learning models, nine variables were frequently selected or highly weighted as predictors: dental visits, current smoking, self-rated health, serial-seven subtractions, probability of receiving an inheritance, probability of leaving an inheritance of at least $10,000, number of children ever born, African-American race, and gender. Some of the machine learning methods do not improve prediction or fit beyond simpler models, however, neural networks performed well. The predictors identified across models suggest underlying social factors that are important predictors of biological indicators of chronic disease, and that the non-linear and interactive relationships between variables fundamental to the neural network approach may be important to consider.

Enhancing Racial Self-Understanding through Structured Learning and Reflective Experiences

ERIC Educational Resources Information Center

Quaye, Stephen John; Baxter Magolda, Marcia B.

2007-01-01

Intercultural maturity and the learning partnerships model are offered as frameworks for understanding the intersection of students' developmental levels and readiness for cross-racial interactions, and for assisting educators in promoting racial self-understanding. A case study is used to illustrate the usefulness of the model in supporting…

Influencing Children's Self-Efficacy and Self-Regulation of Reading and Writing through Modeling

ERIC Educational Resources Information Center

Schunk, Dale H.; Zimmerman, Barry J.

2007-01-01

According to Bandura's social cognitive theory, self-efficacy and self-regulation are key processes that affect students' learning and achievement. This article discusses students' reading and writing performances using Zimmerman's four-phase social cognitive model of the development of self-regulatory competence. Modeling is an effective means of…

The Effects of Computer-Assisted Instruction Designed According to 7E Model of Constructivist Learning on Physics Student Teachers' Achievement, Concept Learning, Self-Efficacy Perceptions and Attitudes

ERIC Educational Resources Information Center

Kocakaya, Serhat; Gonen, Selahattin

2010-01-01

The purpose of this study was to investigate the effects of a Computer-Assisted Instruction designed according to 7E model of constructivist learning(CAI7E) related to "electrostatic'' topic on physics student teachers' cognitive development, misconceptions, self-efficacy perceptions and attitudes. The study was conducted in 2006-2007…

Development of a Health Education Program to Promote the Self-Management of Cystic Fibrosis.

ERIC Educational Resources Information Center

Bartholomew, L. Kay; And Others

1991-01-01

Social learning theory formed the basis of a program to develop self-management skills in cystic fibrosis patients. Strategies for practical learning activities for patients and their families included goal setting, reinforcement, modeling, skill training, and self-monitoring. (SK)

Training self-assessment and task-selection skills to foster self-regulated learning: Do trained skills transfer across domains?

PubMed

Raaijmakers, Steven F; Baars, Martine; Paas, Fred; van Merriënboer, Jeroen J G; van Gog, Tamara

2018-01-01

Students' ability to accurately self-assess their performance and select a suitable subsequent learning task in response is imperative for effective self-regulated learning. Video modeling examples have proven effective for training self-assessment and task-selection skills, and-importantly-such training fostered self-regulated learning outcomes. It is unclear, however, whether trained skills would transfer across domains. We investigated whether skills acquired from training with either a specific, algorithmic task-selection rule or a more general heuristic task-selection rule in biology would transfer to self-regulated learning in math. A manipulation check performed after the training confirmed that both algorithmic and heuristic training improved task-selection skills on the biology problems compared with the control condition. However, we found no evidence that students subsequently applied the acquired skills during self-regulated learning in math. Future research should investigate how to support transfer of task-selection skills across domains.

Effects of a Metacognitive Intervention on Students' Approaches to Learning and Self-Efficacy in a First Year Medical Course

ERIC Educational Resources Information Center

Papinczak, Tracey; Young, Louise; Groves, Michele; Haynes, Michele

2008-01-01

Aim: To determine the influence of metacognitive activities within the PBL tutorial environment on the development of deep learning approach, reduction in surface approach, and enhancement of individual learning self-efficacy. Method: Participants were first-year medical students (N = 213). A pre-test, post-test design was implemented with…

Self-Regulation of Learning and Preference for Written versus Audio-Recorded Feedback by Distance Education Students

ERIC Educational Resources Information Center

Johnson, Genevieve Marie; Cooke, Audrey

2016-01-01

Teacher feedback is critically related to student learning. This study sought to determine the relationships between distance education (DE) student level of self-regulated learning (SRL) and their preference for audio-recorded vs. written feedback from tutors. DE students (n = 102) enrolled in a first-year university course completed an online…

Self-regulated learning strategies used in surgical clerkship and the relationship with clinical achievement.

PubMed

Turan, Sevgi; Konan, Ali

2012-01-01

Self-regulated learning indicates students' skills in controlling their own learning. Self-regulated learning, which a context-specific process, emphasizes autonomy and control. Students gain more autonomy with respect to learning in the clinical years. Examining the self-regulated learning skills of students in this period will provide important clues about the level at which students are ready to use these skills in real-life conditions. The self-regulated learning strategies used by medical students in surgical clerkship were investigated in this study and their relation with clinical achievement was analyzed. The study was conducted during the surgery clerkship of medical students. The participation rate was 94% (309 students). Motivated Strategies for Learning Questionnaire (MSLQ), a case-based examination, Objective Structured Clinical Examination (OSCE), and tutor evaluations for assessing achievement were used. The relationship between the Motivated Strategies for Learning Questionnaire scores of the students and clinical achievement was analyzed with multilinear regression analysis. The findings showed that students use self-regulated learning skills at medium levels during their surgery clerkship. A relationship between these skills and OSCE scores and tutor evaluations was determined. OSCE scores of the students were observed to increase in conjunction with increased self-efficacy levels. However, as students' beliefs regarding control over learning increased, OSCE scores decreased. No significant relationship was defined between self-regulated learning skills and case-based examination scores. We observed that a greater self-efficacy for learning resulted in higher OSCE scores. Conversely, students who believe that learning is a result of their own effort had lower OSCE scores. Copyright © 2012 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Children's Use of Self-Paced Slideshows: An Extension of the Video Deficit Effect?

ERIC Educational Resources Information Center

Sage, Kara D.; Baldwin, Dare

2015-01-01

Past research has established that children typically learn better from live demonstrations than from two-dimensional (2D) media. In the present set of experiments, we investigated the efficacy of a new 2D learning medium-the self-paced slideshow. A primary goal was to determine whether the "video deficit effect" extended to self-paced…

A machine-learning approach for damage detection in aircraft structures using self-powered sensor data

NASA Astrophysics Data System (ADS)

Salehi, Hadi; Das, Saptarshi; Chakrabartty, Shantanu; Biswas, Subir; Burgueño, Rigoberto

2017-04-01

This study proposes a novel strategy for damage identification in aircraft structures. The strategy was evaluated based on the simulation of the binary data generated from self-powered wireless sensors employing a pulse switching architecture. The energy-aware pulse switching communication protocol uses single pulses instead of multi-bit packets for information delivery resulting in discrete binary data. A system employing this energy-efficient technology requires dealing with time-delayed binary data due to the management of power budgets for sensing and communication. This paper presents an intelligent machine-learning framework based on combination of the low-rank matrix decomposition and pattern recognition (PR) methods. Further, data fusion is employed as part of the machine-learning framework to take into account the effect of data time delay on its interpretation. Simulated time-delayed binary data from self-powered sensors was used to determine damage indicator variables. Performance and accuracy of the damage detection strategy was examined and tested for the case of an aircraft horizontal stabilizer. Damage states were simulated on a finite element model by reducing stiffness in a region of the stabilizer's skin. The proposed strategy shows satisfactory performance to identify the presence and location of the damage, even with noisy and incomplete data. It is concluded that PR is a promising machine-learning algorithm for damage detection for time-delayed binary data from novel self-powered wireless sensors.

Task- and self-related pathways to deep learning: the mediating role of achievement goals, classroom attentiveness, and group participation.

PubMed

Lau, Shun; Liem, Arief Darmanegara; Nie, Youyan

2008-12-01

The expectancy-value and achievement goal theories are arguably the two most dominant theories of achievement motivation in the contemporary literature. However, very few studies have examined how the constructs derived from both theories are related to deep learning. Moreover, although there is evidence demonstrating the links between achievement goals and deep learning, little research has examined the mediating processes involved. The aims of this research were to: (a) investigate the role of task- and self-related beliefs (task value and self-efficacy) as well as achievement goals in predicting deep learning in mathematics and (b) examine how classroom attentiveness and group participation mediated the relations between achievement goals and deep learning. The sample comprised 1,476 Grade-9 students from 39 schools in Singapore. Students' self-efficacy, task value, achievement goals, classroom attentiveness, group participation, and deep learning in mathematics were assessed by a self-reported questionnaire administered on-line. Structural equation modelling was performed to test the hypothesized model linking these variables. Task value was predictive of task-related achievement goals whereas self-efficacy was predictive of task-approach, performance-approach, and performance-avoidance goals. Achievement goals were found to fully mediate the relations between task value and self-efficacy on the one hand, and classroom attentiveness, group participation, and deep learning on the other. Classroom attentiveness and group participation partially mediated the relations between achievement goal adoption and deep learning. The findings suggest that (a) task- and self-related pathways are two possible routes through which students could be motivated to learn and (b) like task-approach goals, performance-approach goals could lead to adaptive processes and outcomes.

Self-Regulation of Motivation when Learning Online: The Importance of Who, Why and How

ERIC Educational Resources Information Center

Sansone, Carol; Fraughton, Tamra; Zachary, Joseph L.; Butner, Jonathan; Heiner, Cecily

2011-01-01

Successful online students must learn and maintain motivation to learn. The Self-regulation of Motivation (SRM) model (Sansone and Thoman 2005) suggests two kinds of motivation are essential: Goals-defined (i.e., value and expectancy of learning), and experience-defined (i.e., whether interesting). The Regulating Motivation and Performance Online…

The Influence of Self-Regulated Learning and Prior Knowledge on Knowledge Acquisition in Computer-Based Learning Environments

ERIC Educational Resources Information Center

Bernacki, Matthew

2010-01-01

This study examined how learners construct textbase and situation model knowledge in hypertext computer-based learning environments (CBLEs) and documented the influence of specific self-regulated learning (SRL) tactics, prior knowledge, and characteristics of the learner on posttest knowledge scores from exposure to a hypertext. A sample of 160…

Being Nontraditional and Learning Online: Assessing the Psychosocial Learning Environments, Self-Efficacy, and Affective Outcomes among College Student Groups

ERIC Educational Resources Information Center

Ashford, Roslyn La'Toya

2014-01-01

The study compared traditional and nontraditional students' attitudes about the psychosocial learning environment and their influence on self-efficacy, enjoyment of online learning, and student satisfaction by using Moos' (1979) Model of Environmental and Personal Variables and the three dimensions of social climate as its theoretical framework.…

Motivational Effects on Self-Regulated Learning with Different Tasks

ERIC Educational Resources Information Center

Vollmeyer, Regina; Rheinberg, Falko

2006-01-01

In our cognitive motivational process model (Vollmeyer & Rheinberg, "Zeitschrift fur Padagogische Psychologie," 12:11-23, 1998) we assume that initial motivation affects performance via motivation during learning and learning strategies. These variables are also central for self-regulation theories (e.g., M. Boekaerts, "European Psychologist,"…

Socialization and Self- Determination in Different-Age Dyads of Students Who Are Deafblind

ERIC Educational Resources Information Center

Bruce, Susan M.; Zatta, Mary C.; Gavin, Mary; Stelzer, Sharon

2016-01-01

Introduction: Deafblindness limits access to social cues and social feedback, thus restricting the development of social skills. Many children with CHARGE syndrome, a leading cause of deafblindness, experience challenges with emotional self-regulation and anxiety that may interfere with socialization. Learning about self-determination skills such…

Motivation and Self-Regulated Learning Influences on Middle School Mathematics Achievement

ERIC Educational Resources Information Center

Cleary, Timothy J.; Kitsantas, Anastasia

2017-01-01

The primary purpose of the current study was to use structural equation modeling to examine the relations among background variables (socioeconomic status, prior mathematics achievement), motivation variables (self-efficacy, task interest, school connectedness), self-regulated learning (SRL) behaviors, and performance in middle school mathematics…

Devising a Structural Equation Model of Relationships between Preservice Teachers' Time and Study Environment Management, Effort Regulation, Self-Efficacy, Control of Learning Beliefs, and Metacognitive Self-Regulation

ERIC Educational Resources Information Center

Sen, Senol; Yilmaz, Ayhan

2016-01-01

The objective of this study is to analyze the relationship between preservice teachers' time and study environment management, effort regulation, self-efficacy beliefs, control of learning beliefs and metacognitive self-regulation. This study also investigates the direct and indirect effects of metacognitive self-regulation on time and study…

A Study of Self-Directed Professionals of High Attainment.

ERIC Educational Resources Information Center

Bouchard, Paul

The determinants of self-directed learning (SDL) among professionals of high attainment were examined through open-ended, semidirected interviews with a purposeful sample of eight professional men and women who have acquired identifiable, high-level professional knowledge/skills typically taught in postsecondary learning institutions without ever…

Machine learning, social learning and the governance of self-driving cars.

PubMed

Stilgoe, Jack

2018-02-01

Self-driving cars, a quintessentially 'smart' technology, are not born smart. The algorithms that control their movements are learning as the technology emerges. Self-driving cars represent a high-stakes test of the powers of machine learning, as well as a test case for social learning in technology governance. Society is learning about the technology while the technology learns about society. Understanding and governing the politics of this technology means asking 'Who is learning, what are they learning and how are they learning?' Focusing on the successes and failures of social learning around the much-publicized crash of a Tesla Model S in 2016, I argue that trajectories and rhetorics of machine learning in transport pose a substantial governance challenge. 'Self-driving' or 'autonomous' cars are misnamed. As with other technologies, they are shaped by assumptions about social needs, solvable problems, and economic opportunities. Governing these technologies in the public interest means improving social learning by constructively engaging with the contingencies of machine learning.

Influence of an Intensive, Field-Based Life Science Course on Preservice Teachers' Self-Efficacy for Environmental Science Teaching

NASA Astrophysics Data System (ADS)

Trauth-Nare, Amy

2015-08-01

Personal and professional experiences influence teachers' perceptions of their ability to implement environmental science curricula and to positively impact students' learning. The purpose of this study was twofold: to determine what influence, if any, an intensive field-based life science course and service learning had on preservice teachers' self-efficacy for teaching about the environment and to determine which aspects of the combined field-based course/service learning preservice teachers perceived as effective for enhancing their self-efficacy. Data were collected from class documents and written teaching reflections of 38 middle-level preservice teachers. Some participants ( n = 18) also completed the Environmental Education Efficacy Belief Instrument at the beginning and end of the semester. Both qualitative and quantitative data analyses indicated a significant increase in PSTs' personal efficacies for environmental teaching, t(17) = 4.50, p = .000, d = 1.30, 95 % CI (.33, .90), but not outcome expectancy, t(17) = 1.15, p = .268, d = .220, 95 % CI (-.06, .20). Preservice teachers reported three aspects of the course as important for enhancing their self-efficacies: learning about ecological concepts through place-based issues, service learning with K-5 students and EE curriculum development. Data from this study extend prior work by indicating that practical experiences with students were not the sole factor in shaping PSTs' self-efficacy; learning ecological concepts and theories in field-based activities grounded in the local landscape also influenced PSTs' self-efficacy.

Family Background, Self-Confidence and Economic Outcomes

ERIC Educational Resources Information Center

Filippin, Antonio; Paccagnella, Marco

2012-01-01

In this paper we analyze the role played by self-confidence, modeled as beliefs about one's ability, in shaping task choices. We propose a model in which fully rational agents exploit all the available information to update their beliefs using Bayes' rule, eventually learning their true type. We show that when the learning process does not…

Undergraduate students' earth science learning: relationships among conceptions, approaches, and learning self-efficacy in Taiwan

NASA Astrophysics Data System (ADS)

Shen, Kuan-Ming; Lee, Min-Hsien; Tsai, Chin-Chung; Chang, Chun-Yen

2016-06-01

In the area of science education research, studies have attempted to investigate conceptions of learning, approaches to learning, and self-efficacy, mainly focusing on science in general or on specific subjects such as biology, physics, and chemistry. However, few empirical studies have probed students' earth science learning. This study aimed to explore the relationships among undergraduates' conceptions of, approaches to, and self-efficacy for learning earth science by adopting the structural equation modeling technique. A total of 268 Taiwanese undergraduates (144 females) participated in this study. Three instruments were modified to assess the students' conceptions of, approaches to, and self-efficacy for learning earth science. The results indicated that students' conceptions of learning made a significant contribution to their approaches to learning, which were consequently correlated with their learning self-efficacy. More specifically, students with stronger agreement that learning earth science involves applying the knowledge and skills learned to unknown problems were prone to possess higher confidence in learning earth science. Moreover, students viewing earth science learning as understanding earth science knowledge were more likely to adopt meaningful strategies to learn earth science, and hence expressed a higher sense of self-efficacy. Based on the results, practical implications and suggestions for future research are discussed.

The Sources of Science Teaching Self-efficacy among Elementary School Teachers: A mediational model approach

NASA Astrophysics Data System (ADS)

Wang, Ya-Ling; Tsai, Chin-Chung; Wei, Shih-Hsuan

2015-09-01

This study aimed to investigate the factors accounting for science teaching self-efficacy and to examine the relationships among Taiwanese teachers' science teaching self-efficacy, teaching and learning conceptions, technological-pedagogical content knowledge for the Internet (TPACK-I), and attitudes toward Internet-based instruction (Attitudes) using a mediational model approach. A total of 233 science teachers from 41 elementary schools in Taiwan were invited to take part in the study. After ensuring the validity and reliability of each questionnaire, the results indicated that each measure had satisfactory validity and reliability. Furthermore, through mediational models, the results revealed that TPACK-I and Attitudes mediated the relationship between teaching and learning conceptions and science teaching self-efficacy, suggesting that (1) knowledge of and attitudes toward Internet-based instruction (KATII) mediated the positive relationship between constructivist conceptions of teaching and learning and outcome expectancy, and that (2) KATII mediated the negative correlations between traditional conceptions of teaching and learning and teaching efficacy.

The Internet as an informal learning environment: Assessing knowledge acquisition of science and engineering students using constructivist and objectivist formats

NASA Astrophysics Data System (ADS)

Hargis, Jace

This study examined the effects of two different instructional formats on Internet WebPages in an informal learning environment. The purpose of this study is to (a) identify optimal instructional formats for on-line learning; (b) identify the relationship between post-assessment scores and the student's gender, age or racial identity; (c) examine the effects of verbal aptitudes on learning in different formats; (d) identify relationships between computer attitudes and achievement; and (e) identify the potential power for self-regulated learning and self-efficacy on Internet WebPages. Two learning strategy modules were developed; a constructivist and an objectivist instruction module. The study program consisted of an on-line consent form; a computer attitude survey; a Motivated Strategies for Learning Questionnaire; a verbal aptitude test; a pre-assessment; instructional directions followed by the instructional module and a post-assessment. The study tested 145 post-secondary science and engineering participants from the University of Florida. Participants were randomly assigned to one of two treatment groups or a control in a pretest/posttest design. An analysis of covariance with general linear models was used to account for effects of individual difference variables and aptitude treatment interaction (ATI). This statistical procedure was used to determine the relationships among the dependent variable, the achievement on each of the formats and the independent variables, attitudes, gender, racial identity, verbal aptitudes, and self-regulated learning/self-efficacy. Significant results at alpha = .05 were found for none of these variables. However, a linear prediction of age shows that older participants scored higher on the post-assessment after completing the objectivist module. Although there were no significant differences between the learning format and the variables, there was a difference between the modules and the control. Therefore, it is possible that regardless of characteristics, science and engineering students can learn on-line technical material.

A Predictive Study of Learner Attitudes Toward Open Learning in a Robotics Class

NASA Astrophysics Data System (ADS)

Avsec, Stanislav; Rihtarsic, David; Kocijancic, Slavko

2014-10-01

Open learning (OL) strives to transform teaching and learning by applying learning science and emerging technologies to increase student success, improve learning productivity, and lower barriers to access. OL of robotics has a significant growth rate in secondary and/or high schools, but failures exist. Little is known about why many users stop their OL after their initial experience. Previous research done under different task environments has suggested a variety of factors affecting user satisfaction with different types of OL. In this study, we tested a regression model for student satisfaction involving students' attitudes toward OL usage. A survey was conducted to investigate the critical factors affecting students' achievements and satisfaction in OL of robotics with use of own developed direct manipulation learning environment as learning context. A multiple regression analyses were carried out to investigate how different facets of students' expectations and experiences are related to perceived learning achievements and course satisfaction. Descriptive statistics and analysis of variance was performed to determine the effect of predictor variables to student satisfaction. The results demonstrate that students have significantly positive perceptions toward using OL of robotics as a learning-assisted tool. Furthermore, behavioral intention to use OL is influenced by perceived usefulness and self-efficacy. The following five major categories of satisfaction factors with OL course were revealed during analysis of the studies (effect sizes in parentheses): organization (0.69); implementation (0.61); professional content (0.53); interaction (0.43); self-efficacy (0.14). All these effect sizes were judged to be significant and large. The results also showed that learner-mentor/instructor interaction, learner-professional content interaction, and online and offline self-efficacy were good predictors of student satisfaction and course quality. Peer interactions and self-regulated learning have to be considered carefully. A learner-mentor/instructor and learner-professional content interaction are indicated as most significant interactions.

Self Assessment and Discovery Learning

ERIC Educational Resources Information Center

McDonald, Betty

2011-01-01

Discovery learning in higher education has been reported to be effective in assisting learners to understand difficult concepts and retain long term information. This paper seeks to illustrate how one self assessment model may be used to demonstrate discovery learning in a collaborative atmosphere of students sharing and getting to know each…

Learning Styles and Self-Regulation.

ERIC Educational Resources Information Center

Vermunt, Jan D. H. M.

Data from 211 adult students (ages 20 to 75) at the Open University, The Netherlands, were used to construct and test an instrument to measure learning styles and regulation processes. Test development was guided by a three-tiered model of self-regulation encompassing: (1) cognitive learning processes (deep, surface, elaborative); (2) regulation…

A Model of Self-Organizing Head-Centered Visual Responses in Primate Parietal Areas

PubMed Central

Mender, Bedeho M. W.; Stringer, Simon M.

2013-01-01

We present a hypothesis for how head-centered visual representations in primate parietal areas could self-organize through visually-guided learning, and test this hypothesis using a neural network model. The model consists of a competitive output layer of neurons that receives afferent synaptic connections from a population of input neurons with eye position gain modulated retinal receptive fields. The synaptic connections in the model are trained with an associative trace learning rule which has the effect of encouraging output neurons to learn to respond to subsets of input patterns that tend to occur close together in time. This network architecture and synaptic learning rule is hypothesized to promote the development of head-centered output neurons during periods of time when the head remains fixed while the eyes move. This hypothesis is demonstrated to be feasible, and each of the core model components described is tested and found to be individually necessary for successful self-organization. PMID:24349064

A Cultural Model of Learning: Chinese "Heart and Mind for Wanting T Learn."

ERIC Educational Resources Information Center

Li, Jin

2002-01-01

Examined the Chinese model of learning using the Chinese term, "hao-xue-xin" (heart and mind for wanting to learn.) College students described ideal learners. They considered learning a process of moral striving (self-perfection) that stressed seeking knowledge and cultivating passion for lifelong learning, fostering diligence, enduring…

Informal self-regulated learning on a surgical rotation: uncovering student experiences in context.

PubMed

Woods, Nicole N; Mylopoulos, Maria; Brydges, Ryan

2011-12-01

The ability to guide one's own learning is an essential skill for the health professional. The apprenticeship model of undergraduate education offers an opportunity to engage in self-regulated learning as students work to set goals, evaluate the available opportunities and seek out those with the greatest potential for learning. A close examination of how students navigate their clinical rotations could therefore foster greater understanding of how students learn to guide their own learning. The study presented here aimed to examine undergraduate medical students' day-to-day learning strategies in order to better understand the process of informal self-regulated learning in practice. As a secondary objective, we sought to provide a forum for students to share and critically reflect on their own self-regulated learning strategies. A series of focus groups were conducted with medical students on a surgical rotation. Participants were asked to discuss issues relating to the strategies and behaviours that they had implemented in order to maximize their educational experience. Three distinct approaches to informal self-regulated learning were identified: Participants articulated tendencies to acquiesce to a perceived lack of learning opportunities choose from available learning opportunities and create their own learning opportunities. The results are interpreted through the lens of self-regulated learning theory and implications for medical education are discussed.

Pupils' reasons for learning and behaving and for not learning and behaving in English and maths lessons in a secondary school.

PubMed

Norwich, B

1999-12-01

There is renewed interest in motivation and school learning, though there has been relatively little theory-linked research in English schools. In the first stage, to explore pupils' reasons for learning and behaving and for not learning and behaving in English, maths and other subjects. In the second stage, to examine differences in reasons across subjects, for learning and behaving and for not learning and behaving for boys and girls in two year groups in one secondary school. Stage 1, 16 pupils in years 7, 8 and 9 in two London secondary schools; Stage 2, 267 pupils in years 7 and 9 in one of these schools. Stage 1--semi-structured interviews were conducted to elicit different kinds of reasons conceptualised in terms of the Deci & Ryan's (1985) framework of self-determination. From these elicited reasons, an inventory 'Why I Learn' was designed. Stage 2--the inventory was administered to identify reasons for learning and behaving and for not learning and behaving in English and maths. Parent introjected reasons were the highest for learning and behaving while teacher introjected and intrinsic reasons were the lowest. Intrinsic reasons were highest for not learning and behaving. Year group differences in reason levels were more significant than gender or subject differences. Reasons for learning and behaving were more differentiated from each other than reasons for not learning and behaving. The results are discussed in terms of their significance for self-determination theory, research into the conditions promoting greater self-determination in school learning and further development of the inventory for programme evaluation.

Determinants of Teachers' Recognitions of Self-Regulated Learning Practices in Elementary Education

ERIC Educational Resources Information Center

Lombaerts, Koen; Engels, Nadine; van Braak, Johan

2009-01-01

The authors examined the relations among teacher characteristics, contextual factors, and the recognition of self-regulated learning (SRL). Participants of the survey study were 172 elementary school teachers in the Brussels Capital Region and surrounding area (Belgium). The authors assessed the interrelations of several measures on personal…

A self-taught artificial agent for multi-physics computational model personalization.

PubMed

Neumann, Dominik; Mansi, Tommaso; Itu, Lucian; Georgescu, Bogdan; Kayvanpour, Elham; Sedaghat-Hamedani, Farbod; Amr, Ali; Haas, Jan; Katus, Hugo; Meder, Benjamin; Steidl, Stefan; Hornegger, Joachim; Comaniciu, Dorin

2016-12-01

Personalization is the process of fitting a model to patient data, a critical step towards application of multi-physics computational models in clinical practice. Designing robust personalization algorithms is often a tedious, time-consuming, model- and data-specific process. We propose to use artificial intelligence concepts to learn this task, inspired by how human experts manually perform it. The problem is reformulated in terms of reinforcement learning. In an off-line phase, Vito, our self-taught artificial agent, learns a representative decision process model through exploration of the computational model: it learns how the model behaves under change of parameters. The agent then automatically learns an optimal strategy for on-line personalization. The algorithm is model-independent; applying it to a new model requires only adjusting few hyper-parameters of the agent and defining the observations to match. The full knowledge of the model itself is not required. Vito was tested in a synthetic scenario, showing that it could learn how to optimize cost functions generically. Then Vito was applied to the inverse problem of cardiac electrophysiology and the personalization of a whole-body circulation model. The obtained results suggested that Vito could achieve equivalent, if not better goodness of fit than standard methods, while being more robust (up to 11% higher success rates) and with faster (up to seven times) convergence rate. Our artificial intelligence approach could thus make personalization algorithms generalizable and self-adaptable to any patient and any model. Copyright © 2016. Published by Elsevier B.V.

Developing self-aware mindfulness to manage countertransference in the nurse-client relationship: an evaluation and developmental study.

PubMed

Scheick, Dawn M

2011-01-01

Nursing students, and even the nurses they become, bring not only caring to their wounded clients but also at times their own unresolved personal stress. Especially without mindful awareness, projection of the nurse's unacknowledged emotional encumbrances (countertransference) threatens the effectiveness of the nurse-client relationship. The purpose of this study was to evaluate whether Scheick's (2004) earlier instruction and use of a self-awareness development guide affected the self-control and sense of vibrant aliveness of students in a psychiatric nursing course, then use the information gained to develop a self-aware mindfulness template for managing countertransference in the nurse-client relationship. As gleaned from the literature, self-concept behaviors such as being fully vibrantly alive in the present moment, exercising self-control, and enacting self-awareness dovetail with qualities of mindfulness. Building on earlier findings pertinent to increasing self-awareness, this research used developmental mixed methodology to evaluate ex post facto data on the sense of vibrant full aliveness and self-control of 15 psychiatric nursing students who used a self-awareness development guide compared with seven final semester nursing students who lacked focused self-awareness instructional experiences. Both groups took Schutz's (1992) Element S: Self concept assessment. The quantitative research portion used inferential statistical analysis via the t test to evaluate student scores yielding information pertinent to the qualitative developmental part of the study. Formative and summative committees comprised of expert nursing and other psychologically oriented faculty then developed self-awareness and mindfully oriented teaching-learning tools that together formed a template highlighted by a mnemonic model termed STEDFAST. Although mitigated by the small sample and the use of intact groups, the experimental group, when exposed to self-awareness focused learning experiences, showed not only statistically significant changes in self-awareness, which had been determined in Scheick's (2004) earlier study, but also statistically significant changes in vibrant aliveness and self-control. The outcome that deliberate learning experiences using a self-awareness development model likely affected all three mindful behaviors prompted the expert formative and summative committees to specifically target self-awareness and mindfulness for the template. Students implementing the template anecdotally report increased self-aware mindfulness especially as they readily use the STEDFAST Self-Aware Mindfulness mnemonic portion in clinical encounters. The limitations of the study mandate that statistical assumptions be downplayed in favor of simply exploring data trends. Nevertheless, students using the template components describe growing in their ability to mindfully self-monitor toward better managing of not only countertransference in psychiatric nursing but also their own learning in other areas of nursing practice. Copyright © 2011 Elsevier Inc. All rights reserved.

The roles of social factor and internet self-efficacy in nurses' web-based continuing learning.

PubMed

Chiu, Yen-Lin; Tsai, Chin-Chung

2014-03-01

This study was conducted to explore the relationships among social factor, Internet self-efficacy and attitudes toward web-based continuing learning in a clinical nursing setting. The participants recruited were 244 in-service nurses from hospitals in Taiwan. Three instruments were used to assess their perceptions of social factor, Internet self-efficacy (including basic and advanced Internet self-efficacy) and attitudes toward web-based continuing learning (including perceived usefulness, perceived ease of use, affection and behavior). Structural equation modeling (SEM) was utilized to identify the hypothesized structural model. The results of this study support that social factor is a significant factor correlated to Internet self-efficacy and attitudes toward web-based continuing learning (including perceived usefulness, perceived ease of use and affection). In addition, nurses' basic Internet self-efficacy plays a key role in attitudes including perceived usefulness, perceived ease of use and affection. However, advanced self-efficacy was not correlated to any of the attitudes. The behavior dimension was not linked to social factor or Internet self-efficacy, but was linked to perceived ease of use and affection. Copyright © 2013 Elsevier Ltd. All rights reserved.

Using self-determination theory to improve residency training: learning to make omelets without breaking eggs.

PubMed

Hoffman, Benjamin D

2015-04-01

An inherent tension exists in clinical training between supervising learners to ensure quality and patient safety, and allowing learners to practice independently to gain experience. In this issue of Academic Medicine, Biondi and colleagues discuss this tension, highlighting the disconnect between faculty and resident perceptions of autonomous practice for housestaff. They report that each group perceives itself as more competent in its role than does the other group. Their work leads us to consider how medical educators might safely and effectively transform the learning process. Self-determination theory (SDT) holds that there is a human tendency to develop toward self-directed and autonomous regulation of behavior. This development of intrinsic motivation is governed by the complex relationships among autonomy, competence, and relatedness as well as educational content and the learning milieu. Applying an SDT framework to their findings, Biondi and colleagues report that faculty desire from residents the evidence of internal motivation and demonstration of competence and self-confidence that will allow faculty to entrust learners with autonomy. They conclude, however, that these are qualities that faculty find lacking in many residents. To optimize the balance between autonomy and supervision, this Commentary's author proposes the use of "scaffolding," a construct from developmental psychology. In the scaffolding model, the role of teachers is to support the learner's development and to provide support structures to help the learner get to the next stage of entrustment and competence. Achieving a balance is essential to providing the best patient care now and in the future.

High School Students' Scientific Epistemological Beliefs, Self-Efficacy in Learning Physics and Attitudes toward Physics: A Structural Equation Model

ERIC Educational Resources Information Center

Kapucu, Serkan; Bahçivan, Eralp

2015-01-01

Background: There are some theoretical evidences that explain the relationships between core beliefs (i.e., epistemological beliefs) and peripheral beliefs (self-efficacy in learning) in the literature. The close relationships of such type of beliefs with attitudes are also discussed by some researchers. Constructing a model that investigates…

Academic Self-Concept and Learning Strategies: Direction of Effect on Student Academic Achievement

ERIC Educational Resources Information Center

McInerney, Dennis M.; Cheng, Rebecca Wing-yi; Mok, Magdalena Mo Ching; Lam, Amy Kwok Hap

2012-01-01

This study examined the prediction of academic self-concept (English and Mathematics) and learning strategies (deep and surface), and their direction of effect, on academic achievement (English and Mathematics) of 8,354 students from 16 secondary schools in Hong Kong. Two competing models were tested to ascertain the direction of effect: Model A…

Diagram, a Learning Environment for Initiation to Object-Oriented Modeling with UML Class Diagrams

ERIC Educational Resources Information Center

Py, Dominique; Auxepaules, Ludovic; Alonso, Mathilde

2013-01-01

This paper presents Diagram, a learning environment for object-oriented modelling (OOM) with UML class diagrams. Diagram an open environment, in which the teacher can add new exercises without constraints on the vocabulary or the size of the diagram. The interface includes methodological help, encourages self-correcting and self-monitoring, and…

Systems of Goals, Attitudes, and Self-Related Beliefs in Second-Language-Learning Motivation

ERIC Educational Resources Information Center

Kormos, Judit; Kiddle, Thom; Csizer, Kata

2011-01-01

In the present study, we surveyed the English language-learning motivations of 518 secondary school students, university students, and young adult learners in the capital of Chile, Santiago. We applied multi-group structural-equation modeling to analyze how language-learning goals, attitudes, self-related beliefs, and parental encouragement…

Volition Completes the Puzzle: Development and Evaluation of an Integrative Trait Model of Self-Regulated Learning

ERIC Educational Resources Information Center

Dörrenbächer, Laura; Perels, Franziska

2015-01-01

Most self-regulated learning theories are imbedded within a social-cognitive framework and comprise cognitive, metacognitive and motivational components. Nevertheless, these theories partly neglect volition, which is necessary for implementing learning intentions. Therefore, the present study is frontline as it aimed to integrate volition within a…

Self-Regulated Learning Procedure for University Students: The "Meaningful Text-Reading" Strategy

ERIC Educational Resources Information Center

Roman Sanchez, Jose Maria

2004-01-01

Introduction: Experimental validation of a self-regulated learning procedure for university students, i.e. the "meaningful text-reading" strategy, is reported in this paper. The strategy's theoretical framework is the "ACRA Model" of learning strategies. The strategy consists of a flexible, recurring sequence of five mental operations of written…

Self-Regulation: An Unexplored Learning Model in Biochemistry and Molecular Biology

ERIC Educational Resources Information Center

Costa, Manuel Joao; Sandars, John

2012-01-01

The ultimate goal of "student-centered" education is to empower students to learn beyond educational programs. This means nurturing students' autonomy and fostering the development of their own motivation and mechanisms to become self-directed learners. This idea has been embodied in the "lifelong learning" mantra that pervades contemporary views…

Self and Peer Assessments in Active Learning Model to Increase Metacognitive Awareness and Cognitive Abilities

ERIC Educational Resources Information Center

Pantiwati, Yuni; Husamah

2017-01-01

Metacognitive awareness constitutes a part of thinking skills to continuously retain and develop. One of efforts to increase metacognitive awareness is conducting training through lecture integrated in active learning. Self and peer-assessments encourage students to be more responsible for their performance improvement and learning. The population…

Using Strategy Instruction and Confidence Judgments to Improve Metacognitive Monitoring

ERIC Educational Resources Information Center

Huff, Jessica D.; Nietfeld, John L.

2009-01-01

Current models of self-regulated learning emphasize the pervasive need for metacognitive monitoring skills at all phases of the learning process (Winne and Hadwin in "Studying as self-regulated learning." In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), "Metacognition in educational theory and practice" (pp. 227-304). Mahwah, NJ: Erlbaum,…

The Association between Motivation, Affect, and Self-regulated Learning When Solving Problems.

PubMed

Baars, Martine; Wijnia, Lisette; Paas, Fred

2017-01-01

Self-regulated learning (SRL) skills are essential for learning during school years, particularly in complex problem-solving domains, such as biology and math. Although a lot of studies have focused on the cognitive resources that are needed for learning to solve problems in a self-regulated way, affective and motivational resources have received much less research attention. The current study investigated the relation between affect (i.e., Positive Affect and Negative Affect Scale), motivation (i.e., autonomous and controlled motivation), mental effort, SRL skills, and problem-solving performance when learning to solve biology problems in a self-regulated online learning environment. In the learning phase, secondary education students studied video-modeling examples of how to solve hereditary problems, solved hereditary problems which they chose themselves from a set of problems with different complexity levels (i.e., five levels). In the posttest, students solved hereditary problems, self-assessed their performance, and chose a next problem from the set of problems but did not solve these problems. The results from this study showed that negative affect, inaccurate self-assessments during the posttest, and higher perceptions of mental effort during the posttest were negatively associated with problem-solving performance after learning in a self-regulated way.

Cross-cultural comparisons of university students' science learning self-efficacy: structural relationships among factors within science learning self-efficacy

NASA Astrophysics Data System (ADS)

Wang, Ya-Ling; Liang, Jyh-Chong; Tsai, Chin-Chung

2018-04-01

Science learning self-efficacy could be regarded as a multi-factor belief which comprises different aspects such as cognitive skills, practical work, and everyday application. However, few studies have investigated the relationships among these factors that compose science learning self-efficacy. Also, culture may play an important role in explaining the relationships among these factors. Accordingly, this study aimed to investigate cultural differences in science learning self-efficacy and examine the relationships within factors constituting science learning self-efficacy by adopting a survey instrument for administration to students in the U.S. and Taiwan. A total of 218 university students (62.40% females) were surveyed in the U.S.A, and 224 university students (49.10% females) in Taiwan were also invited to take part in the study. The results of the structural equation modelling revealed cultural differences in the relationships among the factors of science learning self-efficacy. It was found that U.S. students' confidence in their ability to employ higher-order cognitive skills tended to promote their confidence in their ability to accomplish practical work, strengthening their academic self-efficacy. However, the aforementioned mediation was not found for the Taiwanese participants.

Investigating Flipped Learning: Student Self-Regulated Learning, Perceptions, and Achievement in an Introductory Biology Course

NASA Astrophysics Data System (ADS)

Sletten, Sarah Rae

2017-06-01

In flipped classrooms, lectures, which are normally delivered in-class, are assigned as homework in the form of videos, and assignments that were traditionally assigned as homework, are done as learning activities in class. It was hypothesized that the effectiveness of the flipped model hinges on a student's desire and ability to adopt a self-directed learning style. The purpose of this study was twofold; it aimed at examining the relationship between two variables—students' perceptions of the flipped model and their self-regulated learning (SRL) behaviors—and the impact that these variables have on achievement in a flipped class. For the study, 76 participants from a flipped introductory biology course were asked about their SRL strategy use and perceptions of the flipped model. SRL strategy use was measured using a modified version of the Motivated Strategies for Learning Questionnaire (MSLQ; Wolters et al. 2005), while the flipped perceptions survey was newly derived. Student letter grades were collected as a measure of achievement. Through regression analysis, it was found that students' perceptions of the flipped model positively predict students' use of several types of SRL strategies. However, the data did not indicate a relationship between student perceptions and achievement, neither directly nor indirectly, through SRL strategy use. Results suggest that flipped classrooms demonstrate their successes in the active learning sessions through constructivist teaching methods. Video lectures hold an important role in flipped classes, however, students may need to practice SRL skills to become more self-directed and effectively learn from them.

Motivation, learning strategies, participation and medical school performance.

PubMed

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

2012-07-01

Medical schools wish to better understand why some students excel academically and others have difficulty in passing medical courses. Components of self-regulated learning (SRL), such as motivational beliefs and learning strategies, as well as participation in scheduled learning activities, have been found to relate to student performance. Although participation may be a form of SRL, little is known about the relationships among motivational beliefs, learning strategies, participation and medical school performance. This study aimed to test and cross-validate a hypothesised model of relationships among motivational beliefs (value and self-efficacy), learning strategies (deep learning and resource management), participation (lecture attendance, skills training attendance and completion of optional study assignments) and Year 1 performance at medical school. Year 1 medical students in the cohorts of 2008 (n = 303) and 2009 (n = 369) completed a questionnaire on motivational beliefs and learning strategies (sourced from the Motivated Strategies for Learning Questionnaire) and participation. Year 1 performance was operationalised as students' average Year 1 course examination grades. Structural equation modelling was used to analyse the data. Participation and self-efficacy beliefs were positively associated with Year 1 performance (β = 0.78 and β = 0.19, respectively). Deep learning strategies were negatively associated with Year 1 performance (β =- 0.31), but positively related to resource management strategies (β = 0.77), which, in turn, were positively related to participation (β = 0.79). Value beliefs were positively related to deep learning strategies only (β = 0.71). The overall structural model for the 2008 cohort accounted for 47% of the variance in Year 1 grade point average and was cross-validated in the 2009 cohort. This study suggests that participation mediates the relationships between motivation and learning strategies, and medical school performance. However, participation and self-efficacy beliefs also made unique contributions towards performance. Encouraging participation and strengthening self-efficacy may help to enhance medical student performance. © Blackwell Publishing Ltd 2012.

Influencing Work-Related Learning: The Role of Job Characteristics and Self-Directed Learning Orientation in Part-Time Vocational Education

ERIC Educational Resources Information Center

Gijbels, David; Raemdonck, Isabel; Vervecken, Dries

2010-01-01

Based on the Demand-Control-Support (DCS) model, the present paper aims to investigate the influence of job characteristics such as job demands, job control, social support at work and self-directed learning orientation on the work-related learning behaviour of workers. The present study was conducted in a centre for part-time vocational education…

Ecologia: The Assumptions, Expectations, and Strategies of Modern Language Students Working in a Self-Access Learning Environment for the First Time.

ERIC Educational Resources Information Center

Piper, Alison

1994-01-01

This study examined 29 second-year undergraduate students of Spanish using a self-access learning environment for the first time, focusing on their language attitudes and learning strategies. The results show that, even as modern languages majors, the students possessed a model of language and strategies for learning that were significantly…

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.

A Career and Learning Transitional Model for Those Experiencing Labour Market Disadvantage

ERIC Educational Resources Information Center

Cameron, Roslyn

2009-01-01

Research investigating the learning and career transitions of those disadvantaged in the labour market has resulted in the development of a four-component model to enable disadvantaged groups to navigate learning and career transitions. The four components of the model include: the self-concept; learning and recognition; career and life planning;…

Academic Motivation and Self-Regulated Learning in Predicting Academic Achievement in College

ERIC Educational Resources Information Center

Çetin, Baris

2015-01-01

The purpose of this study was to determine whether academic motivation and academic self-regulated learning predicted students' GPAs in the Early Childhood Education Department. The study participants consisted of 166 early childhood education majors enrolled in the 2014 spring semester at Georgia Southern University, USA. Data were gathered using…

Exploring the Relationship between Self-Regulated Vocabulary Learning and Web-Based Collaboration

ERIC Educational Resources Information Center

Liu, Sarah Hsueh-Jui; Lan, Yu-Ju; Ho, Cloudia Ya-Yu

2014-01-01

Collaborative learning has placed an emphasis on co-constructing knowledge by sharing and negotiating meaning for problem-solving activities, and this cannot be accomplished without governing the self-regulatory processes of students. This study employed a Web-based tool, Google Docs, to determine the effects of Web-based collaboration on…

Prospective Teachers' Lifelong Learning Tendencies and Information Literacy Self-Efficacy

ERIC Educational Resources Information Center

Demirel, Melek; Akkoyunlu, Buket

2017-01-01

The purpose of this study is to determine the correlations between prospective teachers' lifelong learning tendencies and their information literacy self-efficacy. It is also to find out if such properties differed significantly in terms of gender, grade, computer usage skills, achievement perception, and willingness to pursue an academic career…

Self-Tuning Method for Increased Obstacle Detection Reliability Based on Internet of Things LiDAR Sensor Models

PubMed Central

2018-01-01

On-chip LiDAR sensors for vehicle collision avoidance are a rapidly expanding area of research and development. The assessment of reliable obstacle detection using data collected by LiDAR sensors has become a key issue that the scientific community is actively exploring. The design of a self-tuning methodology and its implementation are presented in this paper, to maximize the reliability of LiDAR sensors network for obstacle detection in the ‘Internet of Things’ (IoT) mobility scenarios. The Webots Automobile 3D simulation tool for emulating sensor interaction in complex driving environments is selected in order to achieve that objective. Furthermore, a model-based framework is defined that employs a point-cloud clustering technique, and an error-based prediction model library that is composed of a multilayer perceptron neural network, and k-nearest neighbors and linear regression models. Finally, a reinforcement learning technique, specifically a Q-learning method, is implemented to determine the number of LiDAR sensors that are required to increase sensor reliability for obstacle localization tasks. In addition, a IoT driving assistance user scenario, connecting a five LiDAR sensor network is designed and implemented to validate the accuracy of the computational intelligence-based framework. The results demonstrated that the self-tuning method is an appropriate strategy to increase the reliability of the sensor network while minimizing detection thresholds. PMID:29748521

Self-Tuning Method for Increased Obstacle Detection Reliability Based on Internet of Things LiDAR Sensor Models.

PubMed

Castaño, Fernando; Beruvides, Gerardo; Villalonga, Alberto; Haber, Rodolfo E

2018-05-10

On-chip LiDAR sensors for vehicle collision avoidance are a rapidly expanding area of research and development. The assessment of reliable obstacle detection using data collected by LiDAR sensors has become a key issue that the scientific community is actively exploring. The design of a self-tuning methodology and its implementation are presented in this paper, to maximize the reliability of LiDAR sensors network for obstacle detection in the 'Internet of Things' (IoT) mobility scenarios. The Webots Automobile 3D simulation tool for emulating sensor interaction in complex driving environments is selected in order to achieve that objective. Furthermore, a model-based framework is defined that employs a point-cloud clustering technique, and an error-based prediction model library that is composed of a multilayer perceptron neural network, and k-nearest neighbors and linear regression models. Finally, a reinforcement learning technique, specifically a Q-learning method, is implemented to determine the number of LiDAR sensors that are required to increase sensor reliability for obstacle localization tasks. In addition, a IoT driving assistance user scenario, connecting a five LiDAR sensor network is designed and implemented to validate the accuracy of the computational intelligence-based framework. The results demonstrated that the self-tuning method is an appropriate strategy to increase the reliability of the sensor network while minimizing detection thresholds.

Developmental Approach for Behavior Learning Using Primitive Motion Skills.

PubMed

Dawood, Farhan; Loo, Chu Kiong

2018-05-01

Imitation learning through self-exploration is essential in developing sensorimotor skills. Most developmental theories emphasize that social interactions, especially understanding of observed actions, could be first achieved through imitation, yet the discussion on the origin of primitive imitative abilities is often neglected, referring instead to the possibility of its innateness. This paper presents a developmental model of imitation learning based on the hypothesis that humanoid robot acquires imitative abilities as induced by sensorimotor associative learning through self-exploration. In designing such learning system, several key issues will be addressed: automatic segmentation of the observed actions into motion primitives using raw images acquired from the camera without requiring any kinematic model; incremental learning of spatio-temporal motion sequences to dynamically generates a topological structure in a self-stabilizing manner; organization of the learned data for easy and efficient retrieval using a dynamic associative memory; and utilizing segmented motion primitives to generate complex behavior by the combining these motion primitives. In our experiment, the self-posture is acquired through observing the image of its own body posture while performing the action in front of a mirror through body babbling. The complete architecture was evaluated by simulation and real robot experiments performed on DARwIn-OP humanoid robot.

Impact of SCALE-UP on science teaching self-efficacy of students in general education science courses

NASA Astrophysics Data System (ADS)

Cassani, Mary Kay Kuhr

The objective of this study was to evaluate the effect of two pedagogical models used in general education science on non-majors' science teaching self-efficacy. Science teaching self-efficacy can be influenced by inquiry and cooperative learning, through cognitive mechanisms described by Bandura (1997). The Student Centered Activities for Large Enrollment Undergraduate Programs (SCALE-UP) model of inquiry and cooperative learning incorporates cooperative learning and inquiry-guided learning in large enrollment combined lecture-laboratory classes (Oliver-Hoyo & Beichner, 2004). SCALE-UP was adopted by a small but rapidly growing public university in the southeastern United States in three undergraduate, general education science courses for non-science majors in the Fall 2006 and Spring 2007 semesters. Students in these courses were compared with students in three other general education science courses for non-science majors taught with the standard teaching model at the host university. The standard model combines lecture and laboratory in the same course, with smaller enrollments and utilizes cooperative learning. Science teaching self-efficacy was measured using the Science Teaching Efficacy Belief Instrument - B (STEBI-B; Bleicher, 2004). A science teaching self-efficacy score was computed from the Personal Science Teaching Efficacy (PTSE) factor of the instrument. Using non-parametric statistics, no significant difference was found between teaching models, between genders, within models, among instructors, or among courses. The number of previous science courses was significantly correlated with PTSE score. Student responses to open-ended questions indicated that students felt the larger enrollment in the SCALE-UP room reduced individual teacher attention but that the large round SCALE-UP tables promoted group interaction. Students responded positively to cooperative and hands-on activities, and would encourage inclusion of more such activities in all of the courses. The large enrollment SCALE-UP model as implemented at the host university did not increase science teaching self-efficacy of non-science majors, as hypothesized. This was likely due to limited modification of standard cooperative activities according to the inquiry-guided SCALE-UP model. It was also found that larger SCALE-UP enrollments did not decrease science teaching self-efficacy when standard cooperative activities were used in the larger class.

Self-control with spiking and non-spiking neural networks playing games.

PubMed

Christodoulou, Chris; Banfield, Gaye; Cleanthous, Aristodemos

2010-01-01

Self-control can be defined as choosing a large delayed reward over a small immediate reward, while precommitment is the making of a choice with the specific aim of denying oneself future choices. Humans recognise that they have self-control problems and attempt to overcome them by applying precommitment. Problems in exercising self-control, suggest a conflict between cognition and motivation, which has been linked to competition between higher and lower brain functions (representing the frontal lobes and the limbic system respectively). This premise of an internal process conflict, lead to a behavioural model being proposed, based on which, we implemented a computational model for studying and explaining self-control through precommitment behaviour. Our model consists of two neural networks, initially non-spiking and then spiking ones, representing the higher and lower brain systems viewed as cooperating for the benefit of the organism. The non-spiking neural networks are of simple feed forward multilayer type with reinforcement learning, one with selective bootstrap weight update rule, which is seen as myopic, representing the lower brain and the other with the temporal difference weight update rule, which is seen as far-sighted, representing the higher brain. The spiking neural networks are implemented with leaky integrate-and-fire neurons with learning based on stochastic synaptic transmission. The differentiating element between the two brain centres in this implementation is based on the memory of past actions determined by an eligibility trace time constant. As the structure of the self-control problem can be likened to the Iterated Prisoner's Dilemma (IPD) game in that cooperation is to defection what self-control is to impulsiveness or what compromising is to insisting, we implemented the neural networks as two players, learning simultaneously but independently, competing in the IPD game. With a technique resembling the precommitment effect, whereby the payoffs for the dilemma cases in the IPD payoff matrix are differentially biased (increased or decreased), it is shown that increasing the precommitment effect (through increasing the differential bias) increases the probability of cooperating with oneself in the future, irrespective of whether the implementation is with spiking or non-spiking neural networks. Copyright (c) 2009 Elsevier Ltd. All rights reserved.

Critical thinking as a self-regulatory process component in teaching and learning.

PubMed

Phan, Huy P

2010-05-01

This article presents a theoretically grounded model of critical thinking and self-regulation in the context of teaching and learning. Critical thinking, deriving from an educational psychology perspective is a complex process of reflection that helps individuals become more analytical in their thinking and professional development. My conceptualisation in this discussion paper argues that both theoretical orientations (critical thinking and self-regulation) operate in a dynamic interactive system of teaching and learning. My argument, based on existing research evidence, suggests two important points: (i) critical thinking acts as another cognitive strategy of self-regulation that learners use in their learning, and (ii) critical thinking may be a product of various antecedents such as different self-regulatory strategies.

Influence of a School District's Advancement via Individual Determination (AVID) Program on Self-Efficacy and Other Indicators of Student Achievement

ERIC Educational Resources Information Center

Pugh, Philip M.; Tschannen-Moran, Megan

2016-01-01

This article examines a school district's Advancement via Individual Determination (AVID) program using perceived self-efficacy in academic achievement and self-regulated learning, GPA and attendance as indicators of program effectiveness. Results suggest that AVID participation was positively and significantly correlated with attendance in the…

The Effects of Instructors' Autonomy Support and Students' Autonomous Motivation on Learning Organic Chemistry: A Self-Determination Theory Perspective.

ERIC Educational Resources Information Center

Black, Aaron E.; Deci, Edward L.

2000-01-01

Applies self-determination theory to investigate the effects of students' course-specific self-regulation and their perceptions of their instructors' autonomous support on adjustment and academic performance in a college-level organic chemistry course. Hypothesizes that students taking the organic chemistry course for relatively autonomous reasons…

Toward Self-Referential Autonomous Learning of Object and Situation Models.

PubMed

Damerow, Florian; Knoblauch, Andreas; Körner, Ursula; Eggert, Julian; Körner, Edgar

2016-01-01

Most current approaches to scene understanding lack the capability to adapt object and situation models to behavioral needs not anticipated by the human system designer. Here, we give a detailed description of a system architecture for self-referential autonomous learning which enables the refinement of object and situation models during operation in order to optimize behavior. This includes structural learning of hierarchical models for situations and behaviors that is triggered by a mismatch between expected and actual action outcome. Besides proposing architectural concepts, we also describe a first implementation of our system within a simulated traffic scenario to demonstrate the feasibility of our approach.

Conservative orientation as a determinant of hopelessness.

PubMed

Cheung, C K; Kwok, S T

1996-06-01

Conservative orientation is identified with reference to authoritarianism, work ethic belief, just world belief, and endorsement of individualistic causes of social problems. This over-arching orientation is hypothesized to affect hopelessness and to be affected by self-esteem with reference to ego development theory and learned helplessness theory. Causal modeling of data obtained from 1st-year college students (N = 556) in Hong Kong supports the hypotheses, showing that a student's hopelessness relates to his or her conservative orientation, even when self-esteem is controlled. This relationship can be interpreted by ego development and learned helplessness theories and cannot be explained as a spurious effect. Through the theories, hopelessness is interpreted as a result of maladaptive development and fatalistic, alienated, and helpless outlooks. This maladaptive development and the outlooks in turn result from students' conservative and individualistic orientation.

Computational modeling of spiking neural network with learning rules from STDP and intrinsic plasticity

NASA Astrophysics Data System (ADS)

Li, Xiumin; Wang, Wei; Xue, Fangzheng; Song, Yongduan

2018-02-01

Recently there has been continuously increasing interest in building up computational models of spiking neural networks (SNN), such as the Liquid State Machine (LSM). The biologically inspired self-organized neural networks with neural plasticity can enhance the capability of computational performance, with the characteristic features of dynamical memory and recurrent connection cycles which distinguish them from the more widely used feedforward neural networks. Despite a variety of computational models for brain-like learning and information processing have been proposed, the modeling of self-organized neural networks with multi-neural plasticity is still an important open challenge. The main difficulties lie in the interplay among different forms of neural plasticity rules and understanding how structures and dynamics of neural networks shape the computational performance. In this paper, we propose a novel approach to develop the models of LSM with a biologically inspired self-organizing network based on two neural plasticity learning rules. The connectivity among excitatory neurons is adapted by spike-timing-dependent plasticity (STDP) learning; meanwhile, the degrees of neuronal excitability are regulated to maintain a moderate average activity level by another learning rule: intrinsic plasticity (IP). Our study shows that LSM with STDP+IP performs better than LSM with a random SNN or SNN obtained by STDP alone. The noticeable improvement with the proposed method is due to the better reflected competition among different neurons in the developed SNN model, as well as the more effectively encoded and processed relevant dynamic information with its learning and self-organizing mechanism. This result gives insights to the optimization of computational models of spiking neural networks with neural plasticity.

The Effect of a Flipped Classroom Model on Academic Achievement, Self-Directed Learning Readiness, Motivation and Retention

ERIC Educational Resources Information Center

Alsancak Sirakaya, Didem; Ozdemir, Selçuk

2018-01-01

This study examined the effect of a flipped classroom model on students' academic achievement, self-directed learning readiness and motivation. The participants of this study were a total of 66 students who took the "Scientific Research Methods" course and were studying in two different classes in the Faculty of Education at Ahi Evran…

The Role of Self-Regulated Learning in Fostering Students' Conceptual Understanding of Complex Systems with Hypermedia

ERIC Educational Resources Information Center

Azevedo, Roger; Guthrie, John T.; Seibert, Diane

2004-01-01

This study examines the role of self-regulated learning (SRL) in facilitating students' shifts to more sophisticated mental models of the circulatory system as indicated by both performance and process data. We began with Winne and colleagues' information processing model of SRL (Winne, 2001; Winne & Hadwin, 1998) and used it to examine how…

The Psychology of Delivering a Psychological Service: Self-Organised Learning as a Model for Consultation

ERIC Educational Resources Information Center

Clarke, Steve; Jenner, Simon

2006-01-01

The article describes how one Educational Psychology Service in the UK developed a service delivery based on self-organised learning (SOL). This model is linked to the paradigms and discourses within which educational psychology and special educational needs work. The work described here is dedicated to the memory of Brian Roberts, academic, close…

Self-Regulated Learning (SRL): Emergence of the RSRLM Model

ERIC Educational Resources Information Center

Nodoushan, Mohammad Ali Salmani

2012-01-01

This paper claims that the current theories of Self-regulated learning (SRL) are short-sighted. The author provides a comprehensive, but brief, overview of SRL which addresses such issues as (a) SRL processes, (b) SRL strategies, (c) compartments of SRL, (d) theories of SRL, (e) agency in SRL, and (f) models of SRL. He then presents a new model…

Tutoring and Mentoring: An A.R.C. Model for Future Teachers: Affective, Reflexive and Cognitive Orientation to Self-Regulated Learning

ERIC Educational Resources Information Center

Remy, Philippe

2015-01-01

With a specific focus on tutoring among future teachers this article proposes a model of self-regulated learning. The focus on different mechanisms inherent to the tutoring relationship will consider Affective impacts or motivation, Reflexive or metacognitive and Cognitive resolutions. The ARC combination proposes that personal skills will be…

Integrating Problem-Based Learning and Simulation: Effects on Student Motivation and Life Skills.

PubMed

Roh, Young Sook; Kim, Sang Suk

2015-07-01

Previous research has suggested that a teaching strategy integrating problem-based learning and simulation may be superior to traditional lecture. The purpose of this study was to assess learner motivation and life skills before and after taking a course involving problem-based learning and simulation. The design used repeated measures with a convenience sample of 83 second-year nursing students who completed the integrated course. Data from a self-administered questionnaire measuring learner motivation and life skills were collected at pretest, post-problem-based learning, and post-simulation time points. Repeated-measures analysis of variance determined that the mean scores for total learner motivation (F=6.62, P=.003), communication (F=8.27, P<.001), problem solving (F=6.91, P=.001), and self-directed learning (F=4.45, P=.016) differed significantly between time points. Post hoc tests using the Bonferroni correction revealed that total learner motivation and total life skills significantly increased both from pretest to postsimulation and from post-problem-based learning test to postsimulation test. Subscales of learner motivation and life skills, intrinsic goal orientation, self-efficacy for learning and performance, problem-solving skills, and self-directed learning skills significantly increased both from pretest to postsimulation test and from post-problem-based learning test to post-simulation test. The results demonstrate that an integrating problem-based learning and simulation course elicits significant improvement in learner motivation and life skills. Simulation plus problem-based learning is more effective than problem-based learning alone at increasing intrinsic goal orientation, task value, self-efficacy for learning and performance, problem solving, and self-directed learning.

Self-learning Monte Carlo with deep neural networks

NASA Astrophysics Data System (ADS)

Shen, Huitao; Liu, Junwei; Fu, Liang

2018-05-01

The self-learning Monte Carlo (SLMC) method is a general algorithm to speedup MC simulations. Its efficiency has been demonstrated in various systems by introducing an effective model to propose global moves in the configuration space. In this paper, we show that deep neural networks can be naturally incorporated into SLMC, and without any prior knowledge can learn the original model accurately and efficiently. Demonstrated in quantum impurity models, we reduce the complexity for a local update from O (β2) in Hirsch-Fye algorithm to O (β lnβ ) , which is a significant speedup especially for systems at low temperatures.

Toward a Model for the Conceptual Understanding of Personal Learning Environments: A Case Study

ERIC Educational Resources Information Center

Ivanova, Malinka; Chatti, Mohamed Amine

2011-01-01

The development of Personal Learning Environments (PLEs) is in the scope of research groups and educators aiming to propose suitable mechanisms for the organization of self-controlled and self-directed learning, providing students with tools and services for access to content and human intelligence inside and outside the educational institutions.…

Diffusion of an e-Portfolio to Assist in the Self-Directed Learning of Physicians: An Exploratory Study

ERIC Educational Resources Information Center

Goliath, Cheryl Lynn

2009-01-01

Professional societies in the field of medicine have recommended that the traditional model for lifelong medical learning, which had previously focused on attendance at weeklong didactic continuing medical education (CME) courses, should be replaced by individualized study. Self-directed and practice-linked learning are well accepted in principle,…

Interaction Effects of Gender and Motivational Beliefs on Self-Regulated Learning: A Study at ICT- Integrated Schools

ERIC Educational Resources Information Center

Abdullah, Melissa Ng Lee Yen

2016-01-01

Purpose: This study aimed to examine the interaction effects of gender and motivational beliefs on students' self-regulated learning. Specifically, three types of motivational beliefs under the Expectancy-Value Model were examined, namely self-efficacy, control beliefs and anxiety. Methodology: A quantitative correlational research design was used…

The Self-Help Group Model: A Review

ERIC Educational Resources Information Center

Jaques, Marceline E.; Patterson, Kathleen M.

1974-01-01

Self-help mutual aid groups are organized by peers who share a common problem. Through group identification, mutual support, and modeling, behavior is directed toward learning a new coping life style. The self-help group model is considered here as a viable and necessary part of a total rehabilitation service system. (Author)

Appreciation of learning environment and development of higher-order learning skills in a problem-based learning medical curriculum.

PubMed

Mala-Maung; Abdullah, Azman; Abas, Zoraini W

2011-12-01

This cross-sectional study determined the appreciation of the learning environment and development of higher-order learning skills among students attending the Medical Curriculum at the International Medical University, Malaysia which provides traditional and e-learning resources with an emphasis on problem based learning (PBL) and self-directed learning. Of the 708 participants, the majority preferred traditional to e-resources. Students who highly appreciated PBL demonstrated a higher appreciation of e-resources. Appreciation of PBL is positively and significantly correlated with higher-order learning skills, reflecting the inculcation of self-directed learning traits. Implementers must be sensitive to the progress of learners adapting to the higher education environment and innovations, and to address limitations as relevant.

Feedforward Self-Modeling Enhances Skill Acquisition in Children Learning Trampoline Skills

PubMed Central

Ste-Marie, Diane M.; Vertes, Kelly; Rymal, Amanda M.; Martini, Rose

2011-01-01

The purpose of this research was to examine whether children would benefit from a feedforward self-modeling (FSM) video and to explore possible explanatory mechanisms for the potential benefits, using a self-regulation framework. To this end, children were involved in learning two five-skill trampoline routines. For one of the routines, a FSM video was provided during acquisition, whereas only verbal instructions were provided for the alternate routine. The FSM involved editing video footage such that it showed the learner performing the trampoline routine at a higher skill level than their current capability. Analyses of the data showed that while physical performance benefits were observed for the routine that was learned with the FSM video, no differences were obtained in relation to the self-regulatory measures. Thus, the FSM video enhanced motor skill acquisition, but this could not be explained by changes to the varied self-regulatory processes examined. PMID:21779270

Feedforward self-modeling enhances skill acquisition in children learning trampoline skills.

PubMed

Ste-Marie, Diane M; Vertes, Kelly; Rymal, Amanda M; Martini, Rose

2011-01-01

The purpose of this research was to examine whether children would benefit from a feedforward self-modeling (FSM) video and to explore possible explanatory mechanisms for the potential benefits, using a self-regulation framework. To this end, children were involved in learning two five-skill trampoline routines. For one of the routines, a FSM video was provided during acquisition, whereas only verbal instructions were provided for the alternate routine. The FSM involved editing video footage such that it showed the learner performing the trampoline routine at a higher skill level than their current capability. Analyses of the data showed that while physical performance benefits were observed for the routine that was learned with the FSM video, no differences were obtained in relation to the self-regulatory measures. Thus, the FSM video enhanced motor skill acquisition, but this could not be explained by changes to the varied self-regulatory processes examined.

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

NASA Astrophysics Data System (ADS)

Mandell, Brian E.

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

Goal orientation and self-efficacy in relation to memory in adulthood

PubMed Central

Hastings, Erin C.; West, Robin L.

2011-01-01

The achievement goal framework (Dweck, 1986) has been well-established in children and college-students, but has rarely been examined empirically with older adults. The current study, including younger and older adults, examined the effects of memory self-efficacy, learning goals (focusing on skill mastery over time) and performance goals (focusing on performance outcome evaluations) on memory performance. Questionnaires measured memory self-efficacy and general orientation toward learning and performance goals; free and cued recall was assessed in a subsequent telephone interview. As expected, age was negatively related and education was positively related to memory self-efficacy, and memory self-efficacy was positively related to memory, in a structural equation model. Age was also negatively related to memory performance. Results supported the positive impact of learning goals and the negative impact of performance goals on memory self-efficacy. There was no significant direct effect of learning or performance goals on memory performance; their impact occurred via their effect on memory self-efficacy. The present study supports past research suggesting that learning goals are beneficial, and performance goals are maladaptive, for self-efficacy and learning, and validates the achievement goal framework in a sample including older adults. PMID:21728891

The Relationship between Primary School Teacher Candidates' Tendency for Lifelong Learning and Their Perceptions of Computer Self-Efficacy

ERIC Educational Resources Information Center

Isik, Ayse Derya

2015-01-01

This study determines the relationship between primary school teacher candidates' lifelong learning tendency and their perceptions of computer self-efficacy. The research was carried out with 92 undergraduate teachers studying at Bartin University of Teacher Education Faculty, in 2014-2015 academic year. In this study, personal information…

An Analysis of Variance in Teacher Self-Efficacy Levels Dependent on Participation Time in Professional Learning Communities

ERIC Educational Resources Information Center

Marx, Megan D.

2016-01-01

The purpose of this study was to determine variance in mean levels of teacher self-efficacy (TSE) and its three factors--efficacy in student engagement (EIS), efficacy in instructional strategies (EIS), and efficacy in classroom management (ECM)--based on participation and time spent in professional learning communities (PLCs). In this…

A Study of Self-Identity Changes and Correlation of Influential Factors of Thai Students Studying English

ERIC Educational Resources Information Center

Boonchum, Patumporn

2009-01-01

English is regarded as an International Language. Most Thai students have to learn English as a Foreign Language (EFL). Significantly, learning languages, not only English, is related to a foreign culture's behavioral norms, and cultural values that usually determine a person's self-identity. Especially, students in English major may undergo…

Metacognition and Self-Regulated Learning in Predicting University Students' Academic Achievement in Turkey

ERIC Educational Resources Information Center

Çetin, Baris

2017-01-01

The purpose of this study was to determine whether perceived levels of self-regulated learning and metacognition predicted the ultimate grade point average (GPA) attained by 206 female and 70 male college seniors (aged 21 to 27) finishing their elementary education teaching certification studies at a university in Turkey. Data regarding individual…

Impact of Authentic Learning Exercises on Preservice Teachers' Self-Efficacy to Perform Bullying Prevention Tasks

ERIC Educational Resources Information Center

Banas, Jennifer R.

2014-01-01

Background: Teachers and preservice teachers may neglect intervening into and/or leading efforts to prevent bullying because they the lack confidence to do so. Purpose: The purpose of this study was to determine the impact of authentic learning exercises on health education preservice teachers' self-efficacy to perform bullying prevention…

Incorporating Learning Motivation and Self-Concept in Mathematical Communicative Ability

ERIC Educational Resources Information Center

Rajagukguk, Waminton

2016-01-01

This research is trying to determine of the mathematical concepts, instead by integrating the learning motivation (X[subscript 1]) and self-concept (X[subscript 2]) can contribute to the mathematical communicative ability (Y). The test instruments showed the following results: (1) simple regressive equation Y on X[subscript 1] was Y = 32.891 +…

The Association between Motivation, Affect, and Self-regulated Learning When Solving Problems

PubMed Central

Baars, Martine; Wijnia, Lisette; Paas, Fred

2017-01-01

Self-regulated learning (SRL) skills are essential for learning during school years, particularly in complex problem-solving domains, such as biology and math. Although a lot of studies have focused on the cognitive resources that are needed for learning to solve problems in a self-regulated way, affective and motivational resources have received much less research attention. The current study investigated the relation between affect (i.e., Positive Affect and Negative Affect Scale), motivation (i.e., autonomous and controlled motivation), mental effort, SRL skills, and problem-solving performance when learning to solve biology problems in a self-regulated online learning environment. In the learning phase, secondary education students studied video-modeling examples of how to solve hereditary problems, solved hereditary problems which they chose themselves from a set of problems with different complexity levels (i.e., five levels). In the posttest, students solved hereditary problems, self-assessed their performance, and chose a next problem from the set of problems but did not solve these problems. The results from this study showed that negative affect, inaccurate self-assessments during the posttest, and higher perceptions of mental effort during the posttest were negatively associated with problem-solving performance after learning in a self-regulated way. PMID:28848467

Professional Identity Formation in an Advanced Pharmacy Practice Experience Emphasizing Self-Authorship.

PubMed

Johnson, Jessica L; Chauvin, Sheila

2016-12-25

Objective. To examine the extent to which reflective essays written by graduating pharmacy students revealed professional identity formation and self-authorship development. Design. Following a six-week advanced pharmacy practice experience (APPE) grounded in Baxter-Magolda's Learning Partnerships Model of self-authorship development, students completed a culminating reflective essay on their rotation experiences and professional identity formation. Assessment. Thematic and categorical analysis of 41 de-identified essays revealed nine themes and evidence of all Baxter-Magolda's domains and phases of self-authorship. Analysis also suggested relationships between self-authorship and pharmacist professional identity formation. Conclusion. Results suggest that purposeful structuring of learning experiences can facilitate professional identity formation. Further, Baxter-Magolda's framework for self-authorship and use of the Learning Partnership Model seem to align well with pharmacist professional identify formation. Results of this study could be used by pharmacy faculty members when considering how to fill gaps in professional identity formation in future course and curriculum development.

Professional Identity Formation in an Advanced Pharmacy Practice Experience Emphasizing Self-Authorship

PubMed Central

Chauvin, Sheila

2016-01-01

Objective. To examine the extent to which reflective essays written by graduating pharmacy students revealed professional identity formation and self-authorship development. Design. Following a six-week advanced pharmacy practice experience (APPE) grounded in Baxter-Magolda’s Learning Partnerships Model of self-authorship development, students completed a culminating reflective essay on their rotation experiences and professional identity formation. Assessment. Thematic and categorical analysis of 41 de-identified essays revealed nine themes and evidence of all Baxter-Magolda’s domains and phases of self-authorship. Analysis also suggested relationships between self-authorship and pharmacist professional identity formation. Conclusion. Results suggest that purposeful structuring of learning experiences can facilitate professional identity formation. Further, Baxter-Magolda’s framework for self-authorship and use of the Learning Partnership Model seem to align well with pharmacist professional identify formation. Results of this study could be used by pharmacy faculty members when considering how to fill gaps in professional identity formation in future course and curriculum development. PMID:28179721

Academic Self-Regulation as a Function of Age: The Mediating Role of Autonomy Support and Differentiation in School

ERIC Educational Resources Information Center

Martinek, Daniela; Hofmann, Franz; Kipman, Ulrike

2016-01-01

Numerous studies in the tradition of the self-determination theory (Deci and Ryan in "Can Psychol" 49(1):14-23, 2008) point out the significance of self-determined academic motivation and its relevance for learning processes and well-being. Whereas these results sketch a rather heterogeneous picture of the development of intrinsic and…

What "No Child Left Behind" Leaves behind: The Roles of IQ and Self-Control in Predicting Standardized Achievement Test Scores and Report Card Grades

ERIC Educational Resources Information Center

Duckworth, Angela L.; Quinn, Patrick D.; Tsukayama, Eli

2012-01-01

The increasing prominence of standardized testing to assess student learning motivated the current investigation. We propose that standardized achievement test scores assess competencies determined more by intelligence than by self-control, whereas report card grades assess competencies determined more by self-control than by intelligence. In…

An approach to children's smoking behavior using social cognitive learning theory.

PubMed

Bektas, Murat; Ozturk, Candan; Armstrong, Merry

2010-01-01

This review article discusses the theoretical principles of social cognitive learning theory and children's risk-taking behavior of cigarette smoking, along with preventive initiatives. Social cognitive learning theorists examine the behavior of initiating and sustained smoking using a social systems approach. The authors discuss the reciprocal determinism aspect of the theory as applied to the importance of individual factors, and environment and behavioral interactions that influence smoking behavior. Included is the concept of vicarious capability that suggests that smoking behavior is determined in response to and interaction with feedback provided by the environment. The principle of self-regulatory capability asserts that people have control over their own behavior and thus that behavior change is possible. The principle of self-efficacy proposes that high level of self-efficacy of an individual may decrease the behavior of attempting to or continuing to smoke. Examples of initiatives to be undertaken in order to prevent smoking in accordance with social cognitive learning theory are presented at the end of each principle.

Modeling and possible implementation of self-learning equivalence-convolutional neural structures for auto-encoding-decoding and clusterization of images

NASA Astrophysics Data System (ADS)

Krasilenko, Vladimir G.; Lazarev, Alexander A.; Nikitovich, Diana V.

2017-08-01

Self-learning equivalent-convolutional neural structures (SLECNS) for auto-coding-decoding and image clustering are discussed. The SLECNS architectures and their spatially invariant equivalent models (SI EMs) using the corresponding matrix-matrix procedures with basic operations of continuous logic and non-linear processing are proposed. These SI EMs have several advantages, such as the ability to recognize image fragments with better efficiency and strong cross correlation. The proposed clustering method of fragments with regard to their structural features is suitable not only for binary, but also color images and combines self-learning and the formation of weight clustered matrix-patterns. Its model is constructed and designed on the basis of recursively processing algorithms and to k-average method. The experimental results confirmed that larger images and 2D binary fragments with a large numbers of elements may be clustered. For the first time the possibility of generalization of these models for space invariant case is shown. The experiment for an image with dimension of 256x256 (a reference array) and fragments with dimensions of 7x7 and 21x21 for clustering is carried out. The experiments, using the software environment Mathcad, showed that the proposed method is universal, has a significant convergence, the small number of iterations is easily, displayed on the matrix structure, and confirmed its prospects. Thus, to understand the mechanisms of self-learning equivalence-convolutional clustering, accompanying her to the competitive processes in neurons, and the neural auto-encoding-decoding and recognition principles with the use of self-learning cluster patterns is very important which used the algorithm and the principles of non-linear processing of two-dimensional spatial functions of images comparison. These SIEMs can simply describe the signals processing during the all training and recognition stages and they are suitable for unipolar-coding multilevel signals. We show that the implementation of SLECNS based on known equivalentors or traditional correlators is possible if they are based on proposed equivalental two-dimensional functions of image similarity. The clustering efficiency in such models and their implementation depends on the discriminant properties of neural elements of hidden layers. Therefore, the main models and architecture parameters and characteristics depends on the applied types of non-linear processing and function used for image comparison or for adaptive-equivalental weighing of input patterns. Real model experiments in Mathcad are demonstrated, which confirm that non-linear processing on equivalent functions allows you to determine the neuron winners and adjust the weight matrix. Experimental results have shown that such models can be successfully used for auto- and hetero-associative recognition. They can also be used to explain some mechanisms known as "focus" and "competing gain-inhibition concept". The SLECNS architecture and hardware implementations of its basic nodes based on multi-channel convolvers and correlators with time integration are proposed. The parameters and performance of such architectures are estimated.

Case-Based Modeling for Learning: Socially Constructed Skill Development

ERIC Educational Resources Information Center

Lyons, Paul; Bandura, Randall P.

2018-01-01

Purpose: Grounded on components of experiential learning theory (ELT) and self-regulation of learning (SRL) theory, augmented by elements of action theory and script development, the purpose of this paper is to demonstrate the case-based modeling (CBM) instructional approach that stimulates learning in groups or teams. CBM is related to individual…

Using the Constructivist Tridimensional Design Model for Online Continuing Education for Health Care Clinical Faculty

ERIC Educational Resources Information Center

Seo, Kay Kyeong-Ju; Engelhard, Chalee

2014-01-01

This article presents a new paradigm for continuing education of Clinical Instructors (CIs): the Constructivist Tridimensional (CTD) model for the design of an online curriculum. Based on problem-based learning, self-regulated learning, and adult learning theory, the CTD model was designed to facilitate interactive, collaborative, and authentic…

Dynamic Training Elements in a Circuit Theory Course to Implement a Self-Directed Learning Process

ERIC Educational Resources Information Center

Krouk, B. I.; Zhuravleva, O. B.

2009-01-01

This paper reports on the implementation of a self-directed learning process in a circuit theory course, incorporating dynamic training elements which were designed on the basis of a cybernetic model of cognitive process management. These elements are centrally linked in a dynamic learning frame, created on the monitor screen, which displays the…

Service Learning and Its Influenced to Pre-Service Teachers: Social Responsibility and Self-Efficacy Study

ERIC Educational Resources Information Center

Prasertsang, Parichart; Nuangchalerm, Prasart; Pumipuntu, Chaloey

2013-01-01

The purpose of the research was to study pre-service teachers on social responsibility and self-efficacy through service learning. The mixed methodology included two major procedures (i) the actual use of a developed service learning instructional model by means of action research principles and qualitative research and (ii) the study into the…

An Investigation of the Relationship between Preservice Science Teachers' Epistemological Beliefs about the Nature of Science and Their Self-Efficacy Perceptions

ERIC Educational Resources Information Center

Zorlu, Yusuf

2017-01-01

This study aims to investigate the relationship between preservice science teachers' epistemological beliefs about the nature of science (NOS) and their science learning self-efficacy perceptions by adapting a science learning self-efficacy scale for use in Turkey. This study is model as "Relational Survey". A total of 125 preservice…

African Americans and Self-Help Education: The Missing Link in Adult Education. ERIC Digest No. 222.

ERIC Educational Resources Information Center

Rowland, Michael L.

Self-help education and self-help literature is important in the lives of African American adults, but the basic models of learning, development, and program planning in adult education have often been developed with little concern for the unique needs of African Americans. In addition, current theories of adult learning often lack understanding…

The Effect of Self-Directedness in Learing on Employment Readiness of Undergraduates in South Korea

ERIC Educational Resources Information Center

Kim, Hee Yeong; Kim, Gi Un

2018-01-01

The purpose of this study is to analyze whether self-directedness in learning has positive effects on employment readiness of undergraduates. The subject of this study has little precedent research and we generated a research model. This study shows the following results: First, intrinsic motivation factor of self-directedness in learning has a…

[Motivation and learning strategies in pediatric residents].

PubMed

Sepúlveda-Vildósola, Ana Carolina; Carrada-Legaria, Sol; Reyes-Lagunes, Isabel

2015-01-01

Motivation is an internal mood that moves individuals to act, points them in certain directions, and maintains them in activities, playing a very important role in self-regulated learning and academic performance. Our objective was to evaluate motivation and self-regulation of knowledge in pediatric residents in a third-level hospital, and to determine if there are differences according to the type of specialty and sociodemographic variables. All residents who agreed to participate responded to the Motivated Strategies for Learning Questionnaire. Cronbach alpha was performed to determine reliability. The mean value of each subscale was compared with Student's t test or ANOVA, correlation of subscales with Pearson test. A value of p≤0.05 was considered significant. We included 118 residents. The questionnaire was highly reliable (α=0.939). There were no significant differences in motivation or learning strategies according to sex, marital status, or age. Those residents studying a second or third specialization had significantly higher scores in elaboration, critical thinking, and peer learning. There were significant correlations between intrinsic motivation and self-efficacy with the development of knowledge strategies such as elaboration, critical thinking, and metacognitive self-regulation. Our students present average-to-high scores of motivation and knowledge strategies, with a significant difference according to type of specialization. There is a high correlation between motivation and knowledge strategies.

Training EFL Learners in Self-Regulation of Reading: Implementing an SRL Model

ERIC Educational Resources Information Center

Morshedian, Mahboobeh; Hemmati, Fatemeh; Sotoudehnama, Elaheh

2017-01-01

This study examined whether training English as a foreign language (EFL) learners in a self-regulated learning (SRL) model could help them develop the ability to self-regulate their reading in English and whether their proficiency level could moderate the efficacy of self-regulation training. Two experimental groups received instruction in…

A Model Formative Assessment Strategy to Promote Student-Centered Self-Regulated Learning in Higher Education

ERIC Educational Resources Information Center

Bose, Jayakumar; Rengel, Zed

2009-01-01

Adult learners are already involved in the process of self-regulation; hence, higher education institutions should focus on strengthening students' self-regulatory skills. Self-regulation can be facilitated through formative assessment. This paper proposes a model formative assessment strategy that would complement existing university teaching,…

Video Self-Modeling and Improving Oral Reading Fluency

ERIC Educational Resources Information Center

Chandler, Wanda Gail

2012-01-01

Self-modeling can take different forms but is described as a process where one observes one's own successful behavior and learns from it without dependence on any particular medium. In this study, two separate experiments were conducted to evaluate a video self-modeling (VSM) feedforward intervention. VSM feedforward (independent variable, IV),…

Role of Self-Directed Learning in Communication Competence and Self-Efficacy.

PubMed

Song, Youngshin; Yun, Soon Young; Kim, Sun-Ae; Ahn, Eun-Kyong; Jung, Mi Sook

2015-10-01

Although effective self-directed learning (SDL) has been shown to improve clinical performance, little is known about its role between communication competence and communication self-efficacy in nursing students. This study aimed to identify whether SDL mediates the relationship between communication competence and communication self-efficacy. A cross-sectional survey was conducted with a sample of 213 nursing students taking a basic fundamentals of nursing course. A path diagram, using structural equation modeling, was used to estimate the direct and indirect effects of communication competence on communication self-efficacy, controlling for SDL as a mediator. A structural equation model confirmed direct and indirect effects of communication competence on communication self-efficacy when SDL was controlled as a mediator. An appropriate fit to the data was identified in this mediation model of SDL. For enhancing self-efficacy regarding communication skill, the specified SDL program based on the level of communication competence will yield more effective results. Copyright 2015, SLACK Incorporated.

Motivation to Speak English: A Self-Determination Theory Perspective

ERIC Educational Resources Information Center

Dincer, Ali; Yesilyurt, Savas

2017-01-01

Based on a modern motivation theory of learning, self-determination theory (SDT), this study aimed to investigate the relationships between English as a foreign language (EFL) learners' motivation to speak, autonomous regulation, autonomy support from teachers, and classroom engagement, with both quantitative and qualitative approaches. The…

Factors related to self-directed learning readiness of students in health professional programs: A scoping review.

PubMed

Slater, Craig E; Cusick, Anne

2017-05-01

Academic and professional drivers have stimulated interest in self-directed learning of students in pre-certification health professional programs. Particular attention has focussed on factors which may influence a students' readiness for self-directed learning. A five stage structured scoping review of published literature was conducted to identify measures of self-directed learning readiness used with students in pre-certification health professional programs and those factors that have been investigated as potential determinants. Relevant articles were identified in six databases using key search terms and a search strategy. Two independent reviewers used criteria to cull irrelevant sources. Articles which met eligibility criteria were charted. The final analysis included 49 articles conducted in nursing, medicine, physiotherapy, pharmacy, occupational therapy and dentistry cohorts. Twenty-one potential determinants had been investigated with gender, year level, age program delivery and previous education level the most common. Self-directed learning readiness has been of interest globally, mostly in medicine and nursing, and studies have nearly exclusively used one of two instruments. There is nascent evidence that age, year level and previous education level may have positive influence. These factors have in common the passing of time and may in fact be proxy for more encompassing developmental or social constructs. Further research is needed particularly in the allied health professions where there is limited research in very few disciplines. Studies in interprofessional contexts may be an efficient approach to increasing the knowledge base. Further work is also warranted to determine appropriate use of the two instruments across the range of health disciplines. Copyright © 2017 Elsevier Ltd. All rights reserved.

What Makes Biology Learning Difficult and Effective: Students' Views

ERIC Educational Resources Information Center

Cimer, Atilla

2012-01-01

The present study aims to determine the biological topics that students have difficulties learning, the reasons why secondary school students have difficulties in learning biology, and ways to improve the effectiveness of students' biology learning. For these purposes, a self-administered questionnaire including three open-ended questions was…

Continuing education for general practice. 2. Systematic learning from experience.

PubMed Central

al-Shehri, A; Stanley, I; Thomas, P

1993-01-01

Prompted by evidence that the recently-adopted arrangements for ongoing education among established general practitioners are unsatisfactory, the first of a pair of papers examined the theoretical basis of continuing education for general practice and proposed a model of self-directed learning in which the experience of established practitioners is connected, through the media of reading, reflection and audit, with competence for the role. In this paper a practical, systematic approach to self-directed learning by general practitioners is described based on the model. The contribution which appropriate participation in continuing medical education can make to enhancing learning from experience is outlined. PMID:8373649

Lifelong learning of human actions with deep neural network self-organization.

PubMed

Parisi, German I; Tani, Jun; Weber, Cornelius; Wermter, Stefan

2017-12-01

Lifelong learning is fundamental in autonomous robotics for the acquisition and fine-tuning of knowledge through experience. However, conventional deep neural models for action recognition from videos do not account for lifelong learning but rather learn a batch of training data with a predefined number of action classes and samples. Thus, there is the need to develop learning systems with the ability to incrementally process available perceptual cues and to adapt their responses over time. We propose a self-organizing neural architecture for incrementally learning to classify human actions from video sequences. The architecture comprises growing self-organizing networks equipped with recurrent neurons for processing time-varying patterns. We use a set of hierarchically arranged recurrent networks for the unsupervised learning of action representations with increasingly large spatiotemporal receptive fields. Lifelong learning is achieved in terms of prediction-driven neural dynamics in which the growth and the adaptation of the recurrent networks are driven by their capability to reconstruct temporally ordered input sequences. Experimental results on a classification task using two action benchmark datasets show that our model is competitive with state-of-the-art methods for batch learning also when a significant number of sample labels are missing or corrupted during training sessions. Additional experiments show the ability of our model to adapt to non-stationary input avoiding catastrophic interference. Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.

An Exploration of Students' Science Learning Interest Related to Their Cognitive Anxiety, Cognitive Load, Self-Confidence and Learning Progress Using Inquiry-Based Learning With an iPad

NASA Astrophysics Data System (ADS)

Hong, Jon-Chao; Hwang, Ming-Yueh; Tai, Kai-Hsin; Tsai, Chi-Ruei

2017-12-01

Based on the cognitive-affective theory, the present study designed a science inquiry learning model, predict-observe-explain (POE), and implemented it in an app called "WhyWhy" to examine the effectiveness of students' science inquiry learning practice. To understand how POE can affect the cognitive-affective learning process, as well as the learning progress, a pretest and a posttest were given to 152 grade 5 elementary school students. The students practiced WhyWhy during six sessions over 6 weeks, and data related to interest in learning science (ILS), cognitive anxiety (CA), and extraneous cognitive load (ECL) were collected and analyzed through confirmatory factor analysis with structure equation modeling. The results showed that students with high ILS have low CA and ECL. In addition, the results also indicated that students with a high level of self-confidence enhancement showed significant improvement in the posttest. The implications of this study suggest that by using technology-enhanced science learning, the POE model is a practical approach to motivate students to learn.

Using video self- and peer modeling to facilitate reading fluency in children with learning disabilities.

PubMed

Decker, Martha M; Buggey, Tom

2014-01-01

The authors compared the effects of video self-modeling and video peer modeling on oral reading fluency of elementary students with learning disabilities. A control group was also included to gauge general improvement due to reading instruction and familiarity with researchers. The results indicated that both interventions resulted in improved fluency. Students in both experimental groups improved their reading fluency. Two students in the self-modeling group made substantial and immediate gains beyond any of the other students. Discussion is included that focuses on the importance that positive imagery can have on student performance and the possible applications of both forms of video modeling with students who have had negative experiences in reading.

Sources of self-efficacy in academic contexts: A longitudinal perspective.

PubMed

Phan, Huy P; Ngu, Bing H

2016-12-01

The formation of self-efficacy, according to Bandura's (1997) social-cognitive theory, is an important area of inquiry. This theoretical tenet posits the importance of enactive learning experience, followed by lesser influences of vicarious experience, verbal persuasion, and emotional and physiological states. Quantitative research, predominantly, has produced clear and consistent evidence that supports this position. We argue that the elementary school years may indicate differently, whereby children's limited cognitive maturity and learning experiences could compel them to rely on other psychosocial informational sources. To date and to our knowledge, very few studies, if any, have explored the sustained influence of enactive learning experience across time. In this study, consequently, we tested a sequential predictive model that involved the differential influences of the 4 major informational sources on self-efficacy and then self-efficacy on academic achievement. Three time points of data (N = 328, Year 6) were collected across the calendar year, and Mplus 7.3 (Muthén & Muthén, 1998-2012) was used to assist us in our structural modeling testing. At Time 1, only enactive learning experience and vicarious experience positively influenced self-efficacy. At Time 2, after controlling for prior variance of Time 1 corresponding factors, only enactive learning experience remained significant. At Time 3, after controlling for autoregressive paths, enactive learning experience remained significant, and both verbal persuasion and emotional and physiological states positively influenced self-efficacy. The impact of self-efficacy on academic achievement was significant across the 3 occasions (βs = .20-.46). (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Reciprocal Effects of Self-Regulation, Semantic Knowledge, and Reading Comprehension in Early Elementary School

PubMed Central

Connor, Carol McDonald; Day, Stephanie L.; Phillips, Beth; Sparapani, Nicole; Ingebrand, Sarah W.; McLean, Leigh; Barrus, Angela; Kaschak, Michael P.

2016-01-01

Many assume that cognitive and linguistic processes, such as semantic knowledge (SK) and self-regulation (SR) subserve learned skills like reading. However, complex models of interacting and bootstrapping effects of SK, SR, instruction, and reading hypothesize reciprocal effects. Testing this “lattice” model with children (n = 852) followed from 1st–2nd grade (5.9–10.4 years-of-age), revealed reciprocal effects for reading and SR, and reading and SK, but not SR and SK. More effective literacy instruction reduced reading stability over time. Findings elucidate the synergistic and reciprocal effects of learning to read on other important linguistic, self-regulatory, and cognitive processes, the value of using complex models of development to inform intervention design, and how learned skills may influence development during middle childhood. PMID:27264645

Self-Regulated Learning in Younger and Older Adults: Does Aging Affect Metacognitive Control?

PubMed Central

Price, Jodi; Hertzog, Christopher; Dunlosky, John

2011-01-01

Two experiments examined whether younger and older adults’ self-regulated study (item selection and study time) conformed to the region of proximal learning (RPL) model when studying normatively easy, medium, and difficult vocabulary pairs. Experiment 2 manipulated the value of recalling different pairs and provided learning goals for words recalled and points earned. Younger and older adults in both experiments selected items for study in an easy-to-difficult order, indicating the RPL model applies to older adults’ self-regulated study. Individuals allocated more time to difficult items, but prioritized easier items when given less time or point values favoring difficult items. Older adults studied more items for longer but realized lower recall than did younger adults. Older adults’ lower memory self-efficacy and perceived control correlated with their greater item restudy and avoidance of difficult items with high point values. Results are discussed in terms of RPL and agenda-based regulation models. PMID:19866382

The Combined Effects of Classroom Teaching and Learning Strategy Use on Students' Chemistry Self-Efficacy

NASA Astrophysics Data System (ADS)

Cheung, Derek

2015-02-01

For students to be successful in school chemistry, a strong sense of self-efficacy is essential. Chemistry self-efficacy can be defined as students' beliefs about the extent to which they are capable of performing specific chemistry tasks. According to Bandura (Psychol. Rev. 84:191-215, 1977), students acquire information about their level of self-efficacy from four sources: performance accomplishments, vicarious experiences, verbal persuasion, and physiological states. No published studies have investigated how instructional strategies in chemistry lessons can provide students with positive experiences with these four sources of self-efficacy information and how the instructional strategies promote students' chemistry self-efficacy. In this study, questionnaire items were constructed to measure student perceptions about instructional strategies, termed efficacy-enhancing teaching, which can provide positive experiences with the four sources of self-efficacy information. Structural equation modeling was then applied to test a hypothesized mediation model, positing that efficacy-enhancing teaching positively affects students' chemistry self-efficacy through their use of deep learning strategies such as metacognitive control strategies. A total of 590 chemistry students at nine secondary schools in Hong Kong participated in the survey. The mediation model provided a good fit to the student data. Efficacy-enhancing teaching had a direct effect on students' chemistry self-efficacy. Efficacy-enhancing teaching also directly affected students' use of deep learning strategies, which in turn affected students' chemistry self-efficacy. The implications of these findings for developing secondary school students' chemistry self-efficacy are discussed.

Believing is seeing: how people's beliefs influence goals, emotions and behaviour.

PubMed

Teunissen, Pim W; Bok, Harold G J

2013-11-01

Health care professionals work and learn in complex environments. Some are able to continue learning from their practice and the challenges it presents, whereas others refrain from investing more effort when faced with setbacks. This paper discusses a social cognitive model of motivation that helps to explain the different kinds of behaviour that emerge when individuals are confronted with challenges. Self-theories (people's theories on what competence is and means for the self) play a major role in establishing the goals people set for themselves, the emotions they experience and the meanings they attach to situations. These self-views are often not explicitly articulated and are therefore called 'implicit' ('self-') theories. Social cognitive research suggests there are two distinct ways of thinking about one's personal attributes: entity theorists view a trait as a fixed, concrete internal entity, whereas incremental theorists instead believe a trait to be something malleable that can be developed or cultivated through effort. Holding an entity theory leads one to set performance goals and to harbour concerns about performing well and making a good impression. Holding an incremental theory tends to lead one to set learning goals, and to focus less on performance and more on spending time and effort in determining which strategies work. The current literature on self-theories is used to explore the relevance of these theories in medical education in three contexts: (i) it is argued that, in order to support lifelong learning, both individual and organisational efforts fit best with an incremental outlook on professional development; (ii) if it is to move forward in the domain of feedback-seeking behaviour, medical education might benefit from a better understanding of the interactions among self-theories, feedback behaviour, and the pervading role of organisational culture, and (iii) the impact of self-theories on assessors' evaluations of performance. © 2013 John Wiley & Sons Ltd.

Science Writing Heurisitc: A Writing-to-Learn Strategy and Its Effect on Student's Science Achievement, Science Self-Efficacy, and Scientific Epistemological View

ERIC Educational Resources Information Center

Caukin, Nancy S.

2010-01-01

The purpose of this mixed-methods study was to determine if employing the writing-to-learn strategy known as a "Science Writing Heuristic" would positively effect students' science achievement, science self-efficacy, and scientific epistemological view. The publications "Science for All American, Blueprints for Reform: Project…

Student-Centred and Teacher-Centred Learning Environment in Pre-Vocational Secondary Education: Psychological Needs, and Motivation

ERIC Educational Resources Information Center

Smit, Karin; de Brabander, Cornelis J.; Martens, Rob L.

2014-01-01

In this study the perception of psychological needs and motivation in a student-centred and a teacher-centred learning environment are compared, using Self Determination Theory as a framework. The self-report Intrinsic Motivation Inventory was completed by 230 students (mean age 16.1 years) in pre-vocational secondary education. School records on…

Gender-Related Differences in Placement Rates of Young Adults with Mental Retardation and Severe Learning Disabilities.

ERIC Educational Resources Information Center

Botuck, S.; And Others

1996-01-01

This study examined placement outcomes for 133 individuals (most aged 17 to 21) with mental retardation or severe learning disability. Nearly 50% of the men but only 1% of the women were competitively employed. Results suggest the need for more rehabilitation training for women, focusing on self-determination skills (assertiveness, self-advocacy,…

Effects of Motivation, Academic Stress and Age in Predicting Self-Directed Learning Readiness (SDLR): Focused on Online College Students

ERIC Educational Resources Information Center

Heo, JeongChul; Han, Sumi

2018-01-01

The purpose of this study is to determine whether the self-directed learning readiness (SDLR) among online students might be significantly predicted by motivation, academic stress, and age. To complete the purpose of this study, the Pearson correlation and multiple-regression are analyzed. The participants for this study are college students who…

An Evaluation of Self-Learning Centers in Adult Education: A Research Report of a Ph.D. Dissertation.

ERIC Educational Resources Information Center

Lifer, Charles W.; And Others

This report presents a study undertaken to evaluate the effectiveness of contacting previously unreached urban audiences through the use of films at automatic self-learning centers. To accomplish this, the study attempted to determine: (1) the extent to which people in an urban business (a large insurance company) would look at agricultural films…

Analysis of dermatology resident self-reported successful learning styles and implications for core competency curriculum development.

PubMed

Stratman, Erik J; Vogel, Curt A; Reck, Samuel J; Mukesh, Bickol N

2008-01-01

There are different teaching styles for delivering competency-based curricula. The education literature suggests that learning is maximized when teaching is delivered in a style preferred by learners. To determine if dermatology residents report learning style preferences aligned with adult learning. Dermatology residents attending an introductory cutaneous biology course completed a learning styles inventory assessing self-reported success in 35 active and passive learning activities. The 35 learning activities were ranked in order of preference by learners. Mean overall ratings for active learning activities were significantly higher than for passive learning activities (P = 0.002). Trends in dermatology resident learning style preferences should be considered during program curriculum development. Programs should integrate a variety of curriculum delivery methods to accommodate various learning styles, with an emphasis on the active learning styles preferred by residents.

Modeling the Delivery Physiology of Distributed Learning Systems.

ERIC Educational Resources Information Center

Paquette, Gilbert; Rosca, Ioan

2003-01-01

Discusses instructional delivery models and their physiology in distributed learning systems. Highlights include building delivery models; types of delivery models, including distributed classroom, self-training on the Web, online training, communities of practice, and performance support systems; and actors (users) involved, including experts,…

Learning robot actions based on self-organising language memory.

PubMed

Wermter, Stefan; Elshaw, Mark

2003-01-01

In the MirrorBot project we examine perceptual processes using models of cortical assemblies and mirror neurons to explore the emergence of semantic representations of actions, percepts and concepts in a neural robot. The hypothesis under investigation is whether a neural model will produce a life-like perception system for actions. In this context we focus in this paper on how instructions for actions can be modeled in a self-organising memory. Current approaches for robot control often do not use language and ignore neural learning. However, our approach uses language instruction and draws from the concepts of regional distributed modularity, self-organisation and neural assemblies. We describe a self-organising model that clusters actions into different locations depending on the body part they are associated with. In particular, we use actual sensor readings from the MIRA robot to represent semantic features of the action verbs. Furthermore, we outline a hierarchical computational model for a self-organising robot action control system using language for instruction.

A Pedagogical Understanding of the Self-Determination Theory in Physical Education

ERIC Educational Resources Information Center

Sun, Haichun; Chen, Ang

2010-01-01

Learner motivation is considered an important premise for learning achievement. One of the theories used to explain learner motivation in physical education is the Self-Determination Theory (SDT). Different from others, SDT acknowledges the controlling nature of institutionalized education and builds its application around externally imposed…

Influences on Students' Environmental Self Determination and Implications for Science Curricula

ERIC Educational Resources Information Center

Darner, Rebekka

2014-01-01

According to self-determination theory, social contexts that support students' basic psychological needs of autonomy, competence, and relatedness foster motivation toward behaviors that are valued in that social context. This study investigated the socio-contextual elements of a learning environment that support or undermine students' basic…

Improved Modeling of Intelligent Tutoring Systems Using Ant Colony Optimization

ERIC Educational Resources Information Center

Rastegarmoghadam, Mahin; Ziarati, Koorush

2017-01-01

Swarm intelligence approaches, such as ant colony optimization (ACO), are used in adaptive e-learning systems and provide an effective method for finding optimal learning paths based on self-organization. The aim of this paper is to develop an improved modeling of adaptive tutoring systems using ACO. In this model, the learning object is…

Learning Strategies Model to Enhance Thai Undergraduate Students' Self-Efficacy Beliefs in EIL Textual Reading Performance

ERIC Educational Resources Information Center

Kakew, Jiraporn; Damnet, Anamai

2017-01-01

This classroom based research of a learning strategies model was designed to investigate its application in a mixed-ability classroom. The study built on Oxford's language learning strategies model (1990, 2001) and fulfilled it with rhetorical strategies to accommodate challenges encountered in the paradigm of English as an international language…

An intelligent computer tutor to guide self-explanation while learning from examples

NASA Astrophysics Data System (ADS)

Conati, Cristina

1999-11-01

Many studies in cognitive science show that self-explanation---the process of clarifying and making more complete to oneself the solution of an example---improves learning, and that guiding self-explanation extends these benefits. This thesis presents an intelligent computer tutor that aims to improve learning from examples by supporting self-explanation. The tutor, known as the SE (self-explanation) Coach, is innovative in two ways. First, it represents the first attempt to develop a computer tutor that supports example studying instead of problem solving. Second, it explicitly guides a domain-general, meta-cognitive skill: self-explanation. The SE-Coach is part of the Andes tutoring system for college physics and is meant to be used in conjunction with the problem solving tasks that Andes supports. In order to maximize the system capability to trigger the same beneficial cognitive processes, every element of the SE-Coach embeds existing hypotheses about the features that make self-explanation effective for learning. Designing the SE-Coach involved finding solutions for three main challenges: (1) To design an interface that effectively monitors and supports self-explanation. (2) To devise a student model that allows the assessment of example understanding from reading and self-examination actions. (3) To effectively elicit further self-explanation that improves student's example understanding. In this work we present our solutions to these challenges: (1) An interface including principled, interactive tools to explore examples and build self-explanations under the SECoach's supervision. (2) A probabilistic student model based on a Bayesian network, which integrates a model of correct self-explanation and information on the student's knowledge and studying actions to generate a probabilistic assessment of the student's example understanding. (3) Tutorial interventions that rely on the student model to detect deficits in the student's example understanding and elicit self-explanations that overcome them. In this thesis we also present the results of a formal study with 56 college students to evaluate the effectiveness of the SE-Coach. We discuss some hypotheses to explain the obtained results, based on the analysis of the data collected during the experiment.

The Moderating Role of Self-Regulated Learning in Job Characteristics and Attitudes towards Web-Based Continuing Learning in the Airlines Workplace

ERIC Educational Resources Information Center

Lin, Xiao-fan; Liang, Jyh-Chong; Tsai, Chin-Chung; Hu, Qintai

2018-01-01

With the increasing importance of adult and continuing education, the present study aimed to examine the factors that influence continuing web-based learning at work. Three questionnaires were utilised to investigate the association of the job characteristics from Karasek et al.'s (1998) job demand-control-support model and the self-regulated…

Investigation of the Self-Regulated Learning Strategies of Students from the Faculty of Education Using Ordinal Logistic Regression Analysis

ERIC Educational Resources Information Center

Bozpolat, Ebru

2016-01-01

The purpose of this study was to reveal whether the low, medium, and high level self-regulated learning strategies of third year students at the Education Faculty of Cumhuriyet University can be predicted by the variables of gender, academic self-efficacy, and general academic average. The study uses the Relational Screening Model. The dependent…

Self-learning Monte Carlo method and cumulative update in fermion systems

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

Liu, Junwei; Shen, Huitao; Qi, Yang

2017-06-07

In this study, we develop the self-learning Monte Carlo (SLMC) method, a general-purpose numerical method recently introduced to simulate many-body systems, for studying interacting fermion systems. Our method uses a highly efficient update algorithm, which we design and dub “cumulative update”, to generate new candidate configurations in the Markov chain based on a self-learned bosonic effective model. From a general analysis and a numerical study of the double exchange model as an example, we find that the SLMC with cumulative update drastically reduces the computational cost of the simulation, while remaining statistically exact. Remarkably, its computational complexity is far lessmore » than the conventional algorithm with local updates.« less

Self-regulation strategy, feedback timing and hemodynamic properties modulate learning in a simulated fMRI neurofeedback environment.

PubMed

Oblak, Ethan F; Lewis-Peacock, Jarrod A; Sulzer, James S

2017-07-01

Direct manipulation of brain activity can be used to investigate causal brain-behavior relationships. Current noninvasive neural stimulation techniques are too coarse to manipulate behaviors that correlate with fine-grained spatial patterns recorded by fMRI. However, these activity patterns can be manipulated by having people learn to self-regulate their own recorded neural activity. This technique, known as fMRI neurofeedback, faces challenges as many participants are unable to self-regulate. The causes of this non-responder effect are not well understood due to the cost and complexity of such investigation in the MRI scanner. Here, we investigated the temporal dynamics of the hemodynamic response measured by fMRI as a potential cause of the non-responder effect. Learning to self-regulate the hemodynamic response involves a difficult temporal credit-assignment problem because this signal is both delayed and blurred over time. Two factors critical to this problem are the prescribed self-regulation strategy (cognitive or automatic) and feedback timing (continuous or intermittent). Here, we sought to evaluate how these factors interact with the temporal dynamics of fMRI without using the MRI scanner. We first examined the role of cognitive strategies by having participants learn to regulate a simulated neurofeedback signal using a unidimensional strategy: pressing one of two buttons to rotate a visual grating that stimulates a model of visual cortex. Under these conditions, continuous feedback led to faster regulation compared to intermittent feedback. Yet, since many neurofeedback studies prescribe implicit self-regulation strategies, we created a computational model of automatic reward-based learning to examine whether this result held true for automatic processing. When feedback was delayed and blurred based on the hemodynamics of fMRI, this model learned more reliably from intermittent feedback compared to continuous feedback. These results suggest that different self-regulation mechanisms prefer different feedback timings, and that these factors can be effectively explored and optimized via simulation prior to deployment in the MRI scanner.

Self-regulation strategy, feedback timing and hemodynamic properties modulate learning in a simulated fMRI neurofeedback environment

PubMed Central

Sulzer, James S.

2017-01-01

Direct manipulation of brain activity can be used to investigate causal brain-behavior relationships. Current noninvasive neural stimulation techniques are too coarse to manipulate behaviors that correlate with fine-grained spatial patterns recorded by fMRI. However, these activity patterns can be manipulated by having people learn to self-regulate their own recorded neural activity. This technique, known as fMRI neurofeedback, faces challenges as many participants are unable to self-regulate. The causes of this non-responder effect are not well understood due to the cost and complexity of such investigation in the MRI scanner. Here, we investigated the temporal dynamics of the hemodynamic response measured by fMRI as a potential cause of the non-responder effect. Learning to self-regulate the hemodynamic response involves a difficult temporal credit-assignment problem because this signal is both delayed and blurred over time. Two factors critical to this problem are the prescribed self-regulation strategy (cognitive or automatic) and feedback timing (continuous or intermittent). Here, we sought to evaluate how these factors interact with the temporal dynamics of fMRI without using the MRI scanner. We first examined the role of cognitive strategies by having participants learn to regulate a simulated neurofeedback signal using a unidimensional strategy: pressing one of two buttons to rotate a visual grating that stimulates a model of visual cortex. Under these conditions, continuous feedback led to faster regulation compared to intermittent feedback. Yet, since many neurofeedback studies prescribe implicit self-regulation strategies, we created a computational model of automatic reward-based learning to examine whether this result held true for automatic processing. When feedback was delayed and blurred based on the hemodynamics of fMRI, this model learned more reliably from intermittent feedback compared to continuous feedback. These results suggest that different self-regulation mechanisms prefer different feedback timings, and that these factors can be effectively explored and optimized via simulation prior to deployment in the MRI scanner. PMID:28753639

Self-regulated learning in a dynamic coaching model for supporting college students with traumatic brain injury: two case reports.

PubMed

Kennedy, Mary R T; Krause, Miriam O

2011-01-01

To describe a program that integrates self-regulated learning theory with supported education for college students with traumatic brain injury using a dynamic coaching model; to demonstrate the feasibility of developing and implementing such a program; and to identify individualized outcomes. Case study comparisons. University setting. Two severely injured students with cognitive impairments. A dynamic coaching model of supported education which incorporated self-regulated learning was provided for students with traumatic brain injury while attending college. Outcomes were both short and long term including decontextualized standardized test scores, self-reported academic challenges, number and specificity of reported strategies, grades on assignments, number of credits completed versus attempted, and changes in academic status and campus life. Students improved on graded assignments after strategy instruction and reported using more strategies by the end of the year. Students completed most of the credits they attempted, were in good academic standing, and made positive academic decisions. Performance on decontextualized tests pre- and postintervention was variable. It is feasible to deliver a hybrid supported education program that is dynamically responsive to individual students' needs and learning styles. Reasons for including both functional and standardized test outcomes are discussed.

A new semi-supervised learning model combined with Cox and SP-AFT models in cancer survival analysis.

PubMed

Chai, Hua; Li, Zi-Na; Meng, De-Yu; Xia, Liang-Yong; Liang, Yong

2017-10-12

Gene selection is an attractive and important task in cancer survival analysis. Most existing supervised learning methods can only use the labeled biological data, while the censored data (weakly labeled data) far more than the labeled data are ignored in model building. Trying to utilize such information in the censored data, a semi-supervised learning framework (Cox-AFT model) combined with Cox proportional hazard (Cox) and accelerated failure time (AFT) model was used in cancer research, which has better performance than the single Cox or AFT model. This method, however, is easily affected by noise. To alleviate this problem, in this paper we combine the Cox-AFT model with self-paced learning (SPL) method to more effectively employ the information in the censored data in a self-learning way. SPL is a kind of reliable and stable learning mechanism, which is recently proposed for simulating the human learning process to help the AFT model automatically identify and include samples of high confidence into training, minimizing interference from high noise. Utilizing the SPL method produces two direct advantages: (1) The utilization of censored data is further promoted; (2) the noise delivered to the model is greatly decreased. The experimental results demonstrate the effectiveness of the proposed model compared to the traditional Cox-AFT model.

Self-Supervised Chinese Ontology Learning from Online Encyclopedias

PubMed Central

Shao, Zhiqing; Ruan, Tong

2014-01-01

Constructing ontology manually is a time-consuming, error-prone, and tedious task. We present SSCO, a self-supervised learning based chinese ontology, which contains about 255 thousand concepts, 5 million entities, and 40 million facts. We explore the three largest online Chinese encyclopedias for ontology learning and describe how to transfer the structured knowledge in encyclopedias, including article titles, category labels, redirection pages, taxonomy systems, and InfoBox modules, into ontological form. In order to avoid the errors in encyclopedias and enrich the learnt ontology, we also apply some machine learning based methods. First, we proof that the self-supervised machine learning method is practicable in Chinese relation extraction (at least for synonymy and hyponymy) statistically and experimentally and train some self-supervised models (SVMs and CRFs) for synonymy extraction, concept-subconcept relation extraction, and concept-instance relation extraction; the advantages of our methods are that all training examples are automatically generated from the structural information of encyclopedias and a few general heuristic rules. Finally, we evaluate SSCO in two aspects, scale and precision; manual evaluation results show that the ontology has excellent precision, and high coverage is concluded by comparing SSCO with other famous ontologies and knowledge bases; the experiment results also indicate that the self-supervised models obviously enrich SSCO. PMID:24715819

Self-supervised Chinese ontology learning from online encyclopedias.

PubMed

Hu, Fanghuai; Shao, Zhiqing; Ruan, Tong

2014-01-01

Constructing ontology manually is a time-consuming, error-prone, and tedious task. We present SSCO, a self-supervised learning based chinese ontology, which contains about 255 thousand concepts, 5 million entities, and 40 million facts. We explore the three largest online Chinese encyclopedias for ontology learning and describe how to transfer the structured knowledge in encyclopedias, including article titles, category labels, redirection pages, taxonomy systems, and InfoBox modules, into ontological form. In order to avoid the errors in encyclopedias and enrich the learnt ontology, we also apply some machine learning based methods. First, we proof that the self-supervised machine learning method is practicable in Chinese relation extraction (at least for synonymy and hyponymy) statistically and experimentally and train some self-supervised models (SVMs and CRFs) for synonymy extraction, concept-subconcept relation extraction, and concept-instance relation extraction; the advantages of our methods are that all training examples are automatically generated from the structural information of encyclopedias and a few general heuristic rules. Finally, we evaluate SSCO in two aspects, scale and precision; manual evaluation results show that the ontology has excellent precision, and high coverage is concluded by comparing SSCO with other famous ontologies and knowledge bases; the experiment results also indicate that the self-supervised models obviously enrich SSCO.

Feedback Processes in Multimedia Language Learning Software

ERIC Educational Resources Information Center

Kartal, Erdogan

2010-01-01

Feedback has been one of the important elements of learning and teaching theories and still pervades the literature and instructional models, especially computer and web-based ones. However, the mechanisms about feedback dominating the fundamentals of all the instructional models designed for self-learning have changed considerably with the…

Kolb's Experiential Learning Theory: A Meta-Model for Career Exploration.

ERIC Educational Resources Information Center

Atkinson, George, Jr.; Murrell, Patricia H.

1988-01-01

Kolb's experiential learning theory offers the career counselor a meta-model with which to structure career exploration exercises and ensure a thorough investigation of self and the world of work in a manner that provides the client with an optimal amount of learning and personal development. (Author)

Relationships between Student Cognitions and Their Effects on Study Strategies

ERIC Educational Resources Information Center

Ferla, Johan; Valcke, Martin; Schuyten, Gilberte

2008-01-01

Using Vermunt's model [Vermunt, J. D. (1998). "The regulation of constructive learning processes". "British Journal of Educational Psychology", 68, 149-171] of self-regulated learning as a conceptual framework, this study aims to contribute to the development of finer grained models of higher education students' learning by (1) investigating…

Self-Directed Workplace Literacy Distance Learning for Developmental Disabilities Workers. Final Report.

ERIC Educational Resources Information Center

Denny, Verna Haskins

The Self-Directed Workplace Literacy Distance Learning Project demonstrated a model workplace literacy program that helped direct care workers in state-operated developmental disabilities facilities improve their literacy skills for a changing workplace. During the project, 268 New York State Office of Mental Retardation and Developmental…

Teacher Beliefs, Knowledge, and Practice of Self-Regulated Learning

ERIC Educational Resources Information Center

Spruce, Robin; Bol, Linda

2015-01-01

This study examined teacher beliefs, knowledge, and classroom practice of self-regulated learning for ten elementary and middle school teachers. Using Zimmerman's SRL model to frame our method and results, we administered questionnaires, observed classrooms and conducted interviews with these teachers. Teachers had positive beliefs about the role…

Regulation of Motivation: Contextual and Social Aspects

ERIC Educational Resources Information Center

Wolters, Christopher A.

2011-01-01

Background: Models of self-regulated learning have been used extensively as a way of understanding how students understand, monitor, and manage their own academic functioning. The regulation of motivation is a facet of self-regulated learning that describes students' efforts to control their own motivation or motivational processing. The…

Awareness and Awakening: A Narrative-Oriented Inquiry of Undergraduate Students' Development of Mindful Agency in China

PubMed Central

Wang, Qing; Law, Ho Chung; Li, Yan; Xu, Zhanfei; Pang, Weiguo

2017-01-01

The article explores undergraduate students' experiences of developing mindful agency as a positive learning disposition, their perceived change as a learner, and the possible impact of mindful agency coaching on students' learning and personal growth, using a narrative research method. Seventy Chinese undergraduate students generated personal reflective journals and eight participants' journals were selected to enter into the narrative-oriented inquiry. Our analysis revealed a number of primary themes based on which we produced a meta-story. The supplements of the story were exacted for further critical cross-case discussion. The finding indicated that the multifaceted development of mindful agency involved learning methods, emotional regulation, strategic thinking, and awareness of planning, openness to experience, self-acceptance and self-esteem, and learning engagement, with enhanced sense of personal awareness and awakening. The coaching was supportive for students to foster positive self-identities and become more reflective, mindful, and self-determined. PMID:29209260

The Effects of Different Learning Environments on Students' Motivation for Learning and Their Achievement

ERIC Educational Resources Information Center

Baeten, Marlies; Dochy, Filip; Struyven, Katrien

2013-01-01

Background: Research in higher education on the effects of student-centred versus lecture-based learning environments generally does not take into account the psychological need support provided in these learning environments. From a self-determination theory perspective, need support is important to study because it has been associated with…

Personal Self-Regulation and Regulatory Teaching to Predict Performance and Academic Confidence: New Evidence for the DEDEPRO Model™

ERIC Educational Resources Information Center

de la Fuente, Jesús; Justicia, Fernando; Sander, Paul; Cardelle-Elawar, Maria

2014-01-01

Introduction: The 3P and DEDEPRO Models predict interactive relationships among "presage," "process," and "product" variables through teaching and learning of self-regulation. The DEDEPRO Model has established different possibilities for interaction between student characteristics of self-regulation and external…

Quantum-Inspired Multidirectional Associative Memory With a Self-Convergent Iterative Learning.

PubMed

Masuyama, Naoki; Loo, Chu Kiong; Seera, Manjeevan; Kubota, Naoyuki

2018-04-01

Quantum-inspired computing is an emerging research area, which has significantly improved the capabilities of conventional algorithms. In general, quantum-inspired hopfield associative memory (QHAM) has demonstrated quantum information processing in neural structures. This has resulted in an exponential increase in storage capacity while explaining the extensive memory, and it has the potential to illustrate the dynamics of neurons in the human brain when viewed from quantum mechanics perspective although the application of QHAM is limited as an autoassociation. We introduce a quantum-inspired multidirectional associative memory (QMAM) with a one-shot learning model, and QMAM with a self-convergent iterative learning model (IQMAM) based on QHAM in this paper. The self-convergent iterative learning enables the network to progressively develop a resonance state, from inputs to outputs. The simulation experiments demonstrate the advantages of QMAM and IQMAM, especially the stability to recall reliability.

Enhancing meaningful learning and self-efficacy through collaboration between dental hygienist and physiotherapist students - a scholarship project.

PubMed

Johannsen, A; Bolander-Laksov, K; Bjurshammar, N; Nordgren, B; Fridén, C; Hagströmer, M

2012-11-01

Within the field of Dental Hygiene (DH) and Physiotherapy (PT), students are taught to use an evidence-based approach. Educators need to consider the nature of evidence-based practice from the perspective of content knowledge and learning strategies. Such effort to seek best available evidence and to apply a systematic and scholarly approach to teaching and learning is called scholarship of teaching and learning. To evaluate the application of the scholarship model including an evidence-based approach to enhance meaningful learning and self-efficacy among DH and PT students. Based on the research on student learning, three central theories were identified (constructivism, meaningful learning and self-efficacy). These were applied in our context to support learner engagement and the application of prior knowledge in a new situation. The DH students performed an oral health examination on the PT students, and the PT students performed an individual health test on the DH students; both groups used motivational interviewing. Documentation of student's learning experience was carried out through seminars and questionnaires. The students were overall satisfied with the learning experience. Most appreciated are that it reflected a 'real' professional situation and that it also reinforced important learning from their seminars. The scholarship model made the teachers aware of the importance of evidence-based teaching. Furthermore, the indicators for meaningful learning and increased self-efficacy were high, and the students became more engaged by practising in a real situation, more aware of other health professions and reflected about tacit knowledge. © 2012 John Wiley & Sons A/S.

The impact of students and curriculum on self-study during clinical training in medical school: a multilevel approach.

PubMed

Barbosa, J; Silva, A; Ferreira, M A; Severo, M

2017-01-13

In higher education, the focus has shifted from the acquisition of knowledge to learning objectives and skills. This means that, the majority of student learning time is spent independently working outside the classroom. Students take an active role in setting goals, deciding how to achieve them, and planning individual study time. Although extensive research has recognized the importance of curriculum and students' characteristics in time devoted to self-study, it is still unclear to what extent these variables affect time to study. Due to the growing reliance on self-directed learning in medical education, and in an attempt to elucidate this issue, this research aims to evaluate self-study time during clinical training and assess whether this is more influenced by the student or the curriculum. A questionnaire was given to 1220 medical students (43.3% of the enrolled students). The students were asked to indicate the average number of study hours per week beyond the time allocated to classes for each clerkship (rotation) attended. Variation and generalizability of students' self-study were estimated using linear mixed models. Findings showed that the intrinsic differences within students were a greater source of variation in self-study time than differences within clerkships (56.0% vs. 6.9%). If the amount of self-study dedicated to an individual clerkship is to be determined, at least 32 students are needed to achieve acceptable reliability. However, this data with two clerkships per student can used to retrospectively measure the self-study reported by students in clinical training. The findings suggest that, both, curriculum and student characteristics influence self-study in undergraduate clinical training. Indeed, students' characteristics play a significant role in time devoted to study. Further research should be undertaken to investigate students' characteristics that may predict self-study during undergraduate medical training.

The Influence of Attitudes toward Students with Disabilities and Counselor Self-Efficacy on School Counselors' Perceptions of Preparedness to Provide Services to Students with Learning Disabilities

ERIC Educational Resources Information Center

Torrence, Jamie N.

2012-01-01

The purpose of this quantitative survey study was to determine the influence of attitudes toward students with disabilities and counselor self-efficacy on school counselors' perceptions of preparedness to provide services to students with learning disabilities using the Theory of Planned Behavior (TPB; Ajzen, 1985). One hundred and sixteen…

Learning to Walk: Changing Your Self, Your Perspectives, and Your Assumptions

ERIC Educational Resources Information Center

Sullivan, Debra R.

2011-01-01

Watching babies learn to walk can teach one a lot about himself/herself and one's ability to change. Changing one's self, perspectives, or assumptions requires: (1) the determination and perseverance to persist; (2) the openness to believe that if one can't change now, maybe he/she can later; (3) the ability to take a stand, even if one knows it…

Methods of Psychological and Pedagogical Accompaniment of First-Year Students in Process of Adapting to Learning at University

ERIC Educational Resources Information Center

Maralova, Tatyana P.; Filipenkova, Olesya G.; Galitskikh, Elena O.; Shulga, Tatiana I.; Sidyacheva, Natalya V.; Ovsyanik, Olga A.

2016-01-01

The relevance of the study is conditioned by the complexity of students' adaptation to learning at University due to the change of social environment, an alarming feelings about the precise self-determination, lack of knowledge in opportunities for self-expression in art, science, sport and public life. The purpose of the paper is to identify…

Reciprocal Effects of Self-Regulation, Semantic Knowledge, and Reading Comprehension in Early Elementary School.

PubMed

Connor, Carol McDonald; Day, Stephanie L; Phillips, Beth; Sparapani, Nicole; Ingebrand, Sarah W; McLean, Leigh; Barrus, Angela; Kaschak, Michael P

2016-11-01

Many assume that cognitive and linguistic processes, such as semantic knowledge (SK) and self-regulation (SR), subserve learned skills like reading. However, complex models of interacting and bootstrapping effects of SK, SR, instruction, and reading hypothesize reciprocal effects. Testing this "lattice" model with children (n = 852) followed from first to second grade (5.9-10.4 years of age) revealed reciprocal effects for reading and SR, and reading and SK, but not SR and SK. More effective literacy instruction reduced reading stability over time. Findings elucidate the synergistic and reciprocal effects of learning to read on other important linguistic, self-regulatory, and cognitive processes; the value of using complex models of development to inform intervention design; and how learned skills may influence development during middle childhood. © 2016 The Authors. Child Development © 2016 Society for Research in Child Development, Inc.

Identifying and describing patients' learning experiences towards self-management of bipolar disorders: a phenomenological study.

PubMed

Van den Heuvel, S C G H; Goossens, P J J; Terlouw, C; Van Achterberg, T; Schoonhoven, L

2015-12-01

Existing evidence suggest that patient education in promoting self-management strategies of bipolar disorder (BD) is effective. However, results across the full range of service users with BD vary. Learning experiences of service users look to be a crucial factor to take into account when designing, delivering, and evaluating effective interventions that promote self-management in chronic illness. What learning activities service users actually undertake themselves when self-managing BD that might explain varying success rates, and guide future self-management educational programmes has not been examined. Unlike previous studies that suggest that outcomes in self-management depend on individual learning activities, the current study found that learning to self-manage BD takes place in a social network that functions as a learning environment in which it is saved for service users to make mistakes and to learn from these mistakes. Especially, coping with the dormant fear of a recurrent episode and acknowledging the limitations of an individual approach are important factors that facilitate this learning process. Practitioners who provide patient education in order to promote self-management of BD should tailor future interventions that facilitate learning by reflecting on the own experiences of service users. Community psychiatric nurses should keep an open discussion with service users and caregivers, facilitate the use of a network, and re-label problems into learning situations where both play an active role in building mutual trust, thereby enhancing self-management of BD. Existing evidence suggest that self-management education of bipolar disorder (BD) is effective. However, why outcomes differ across the full range of service users has not been examined. This study describes learning experiences of service users in self-managing BD that provide a possible explanation for this varying effectiveness. We have conducted a phenomenological study via face-to-face, in-depth interviews, guided by a topic list, along service users with BD I or II (n = 16) in three specialised community care clinics across the Netherlands. Interviews were digitally recorded and transcribed verbatim prior to analysis in Atlas.ti 7. Unlike existing studies, which suggest that individual abilities of service users determine outcomes in self-management of BD, the current study found that self-management of BD is a learning process that takes place in a collaborative network. We identified five categories: acknowledgment of having BD, processing the information load, illness management, reflecting on living with BD, and self-management of BD. The success of self-management depends on the acknowledgment of individual limitations in learning to cope with BD and willingness to use a social network as a back-up instead. Especially, the dormant fear of a recurrent episode is a hampering factor in this learning process. © 2015 John Wiley & Sons Ltd.

A Teaching and Learning Sequence about the Interplay of Chance and Determinism in Nonlinear Systems

ERIC Educational Resources Information Center

Stavrou, D.; Duit, R.; Komorek, M.

2008-01-01

A teaching and learning sequence aimed at introducing upper secondary school students to the interplay between chance and determinism in nonlinear systems is presented. Three experiments concerning nonlinear systems (deterministic chaos, self-organization and fractals) and one experiment concerning linear systems are introduced. Thirty upper…

Structural Relationships among Self-Regulated Learning, Learning Flow, Satisfaction, and Learning Persistence in Cyber Universities

ERIC Educational Resources Information Center

Joo, Young Ju; Joung, Sunyoung; Kim, Jiyeon

2014-01-01

Learning persistence in a cyber-learning environment is not only an index determining the success or failure of individual learners but also a source of important information to establish the management direction of educational programs in an organization. Accordingly, learners need to be motivated to continue to grow in order to ensure both…

Grid cell hexagonal patterns formed by fast self-organized learning within entorhinal cortex.

PubMed

Mhatre, Himanshu; Gorchetchnikov, Anatoli; Grossberg, Stephen

2012-02-01

Grid cells in the dorsal segment of the medial entorhinal cortex (dMEC) show remarkable hexagonal activity patterns, at multiple spatial scales, during spatial navigation. It has previously been shown how a self-organizing map can convert firing patterns across entorhinal grid cells into hippocampal place cells that are capable of representing much larger spatial scales. Can grid cell firing fields also arise during navigation through learning within a self-organizing map? This article describes a simple and general mathematical property of the trigonometry of spatial navigation which favors hexagonal patterns. The article also develops a neural model that can learn to exploit this trigonometric relationship. This GRIDSmap self-organizing map model converts path integration signals into hexagonal grid cell patterns of multiple scales. GRIDSmap creates only grid cell firing patterns with the observed hexagonal structure, predicts how these hexagonal patterns can be learned from experience, and can process biologically plausible neural input and output signals during navigation. These results support an emerging unified computational framework based on a hierarchy of self-organizing maps for explaining how entorhinal-hippocampal interactions support spatial navigation. Copyright © 2010 Wiley Periodicals, Inc.

Resident Self-Assessment and Learning Goal Development: Evaluation of Resident-Reported Competence and Future Goals.

PubMed

Li, Su-Ting T; Paterniti, Debora A; Tancredi, Daniel J; Burke, Ann E; Trimm, R Franklin; Guillot, Ann; Guralnick, Susan; Mahan, John D

2015-01-01

To determine incidence of learning goals by competency area and to assess which goals fall into competency areas with lower self-assessment scores. Cross-sectional analysis of existing deidentified American Academy of Pediatrics' PediaLink individualized learning plan data for the academic year 2009-2010. Residents self-assessed competencies in the 6 Accreditation Council for Graduate Medical Education (ACGME) competency areas and wrote learning goals. Textual responses for goals were mapped to 6 ACGME competency areas, future practice, or personal attributes. Adjusted mean differences and associations were estimated using multiple linear and logistic regression. A total of 2254 residents reported 6078 goals. Residents self-assessed their systems-based practice (51.8) and medical knowledge (53.0) competencies lowest and professionalism (68.9) and interpersonal and communication skills (62.2) highest. Residents were most likely to identify goals involving medical knowledge (70.5%) and patient care (50.5%) and least likely to write goals on systems-based practice (11.0%) and professionalism (6.9%). In logistic regression analysis adjusting for postgraduate year (PGY), gender, and degree type (MD/DO), resident-reported goal area showed no association with the learner's relative self-assessment score for that competency area. In the conditional logistic regression analysis, with each learner serving as his or her own control, senior residents (PGY2/3+s) who rated themselves relatively lower in a competency area were more likely to write a learning goal in that area than were PGY1s. Senior residents appear to develop better skills and/or motivation to explicitly turn self-assessed learning gaps into learning goals, suggesting that individualized learning plans may help improve self-regulated learning during residency. Copyright © 2015 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

How self-determination theory can assist our understanding of the teaching and learning processes in medical education. AMEE guide No. 59.

PubMed

Ten Cate, Th J; Kusurkar, Rashmi A; Williams, Geoffrey C

2011-01-01

Self-determination Theory (SDT), designed by Edward Deci and Richard Ryan, serves among the current major motivational theories in psychology. SDT research has been conducted in many areas, among which are education and health care, but its applications in medical education are rare. The potential of SDT to help understand processes in medical education justifies this Guide. SDT is explained in seven principles, one of which is the distinction of three innate psychological needs of human beings: for competence, for autonomy and for relatedness. Further, SDT elaborates how humans tend to internalise regulation of behaviour that initially has been external, in order to develop autonomous, self-determined behaviour. Implications of SDT for medical education are discussed with reference to preparation and selection, curriculum structure, classroom teaching, assessments and examinations, self-directed learning, clinical teaching, students as teachers and researchers, continuing professional development, faculty development and stress among trainees.

Self-Determination Theory and Web-Enhanced Course Template Development

ERIC Educational Resources Information Center

Bachman, Christine M.; Stewart, Cindy

2011-01-01

A theoretical approach to the design and implementation of a web-enhanced course template for Introduction to Psychology is reviewed. Links between psychological constructs and pedagogical principles of learning that are pertinent to a web-based course and the self-determination theory literature are discussed in relation to the design and…

Online Education as a Means for Workplace Learning: A Case Study.

ERIC Educational Resources Information Center

Finley, Dorothy L.

A review of the research on online education was conducted to determine whether online education could serve the self-development requirements of the U.S. Army's Armored Forces Research Unit. Self-development needs for the organization are determined annually and met on an individual basis for the organization's membership of 13 behavioral…

Can Self-Determination Theory Explain What Underlies the Productive, Satisfying Learning Experiences of Collectivistically Oriented Korean Students?

ERIC Educational Resources Information Center

Jang, Hyungshim; Reeve, Johnmarshall; Ryan, Richard M.; Kim, Ahyoung

2009-01-01

Recognizing recent criticisms concerning the cross-cultural generalizability of self-determination theory (SDT), the authors tested the SDT view that high school students in collectivistically oriented South Korea benefit from classroom experiences of autonomy support and psychological need satisfaction. In Study 1, experiences of autonomy,…

Taking Charge: Stories of Success and Self-Determination.

ERIC Educational Resources Information Center

Burgstahler, Sheryl

This brochure summarizes content that is covered in the DO-IT 17-minute videotape, "Taking Charge: Stories of Success and Self-Determination." The document provides insights from successful young people and adults with disabilities associated with the DO-IT project. These insights are designed to help young people with disabilities learn to lead…

Self-Determination Theory and Middle School Mathematics Teachers: Understanding the Motivation to Attain Professional Development

ERIC Educational Resources Information Center

Crawford, Amy K.

2017-01-01

The purpose of this phenomenological research study was to use Self-Determination Theory as a framework to analyze middle school mathematics teachers' motivation to attain effective professional development concerning Ohio's Learning Standards as well as other instructional aspects that affect the classroom. Teachers are exceptionally busy meeting…

An Empirical Investigation of Students' Motivational Impact upon University Service Quality Perception: A Self-Determination Perspective

ERIC Educational Resources Information Center

Chong, Yit Sean; Ahmed, Pervaiz K.

2012-01-01

Based on Deci and Ryan's self-determination theory, this study examines the impact of an individual's motivation in pursuing higher education towards university service quality perception, with the individual's learning style posited as the moderator of the proposed relationship. The consequent effects upon satisfaction and behavioural intentions…

A Self-Determination Perspective on Chinese Fifth-Graders' Task Disengagement

ERIC Educational Resources Information Center

Zhou, Mingming; Ren, Jing

2017-01-01

Engagement in academic tasks is important. However, compared to the large body of research on task engagement, the number of studies on task disengagement is quite limited. The aim of this study is to examine the associations between the motivational (self-determination) and attitudinal antecedents (learning orientations) of task disengagement.…

Chinese Education Examined via the Lens of Self-Determination

ERIC Educational Resources Information Center

Yu, Shi; Chen, Beiwen; Levesque-Bristol, Chantal; Vansteenkiste, Maarten

2018-01-01

Chinese education is controversial: it is not only lauded for Chinese students' high test achievements but also criticized for curbing students' deep learning and development into well-rounded individuals. In the current paper, we propose that self-determination theory (SDT) serves as a useful framework for anatomizing Chinese educational ecology,…

Longitudinal Examination of Procrastination and Anxiety, and Their Relation to Self-Efficacy for Self- Regulated Learning: Latent Growth Curve Modeling

ERIC Educational Resources Information Center

Yerdelen, Sündüs; McCaffrey, Adam; Klassen, Robert M.

2016-01-01

This study investigated the longitudinal association between students' anxiety and procrastination and the relation of self-efficacy for self-regulation to these constructs. Latent Growth Curve Modeling was used to analyze data gathered from 182 undergraduate students (134 female, 48 male) at 4 times during a semester. Our results showed that…

The learning environment as a mediating variable between self-directed learning readiness and academic performance of a sample of saudi nursing and medical emergency students.

PubMed

Alotaibi, Khaled N

2016-01-01

There has been some ground-breaking research on self-directed learning (SDL) in nursing education which reveals the superiority of SDL to traditional learning methods in terms of students' academic performance and the development of positive attitudes toward the learning process on the part of both students and teachers. The relationship between students' self-directed learning readiness (SDLR) and students' academic performance, and the mediating role of students' perceptions of the learning environment needs further investigation. In this study, it is proposed that students' perceptions of their learning environment could enhance their SDLR and thus boost their academic performance (in terms of their GPA). A descriptive design was used to examine the relationships between the domains of SDLR, which are self-management, desire to learn and self-control and students' perceptions of the learning environment (SPLE) and students' GPA. A survey involving 342 [Corrected] Saudi students from nursing and emergency medical services undergraduate programs in King Saud University was used for this research. The results showed that SDLR level positively influenced students' academic performance positively, and that students' perceptions of their learning environment played a significant role in determining their level of SDLR and academic performance. It is recommended that nursing and emergency medical services educators provide a supportive learning environment in terms of good teaching, clear goals and standards, appropriate assessment, appropriate workload, and emphasis on independence to encourage students to engage in the process of SDL which can, in turn, enhance their academic performance. Copyright © 2015 Elsevier Ltd. All rights reserved.

Aligning Needs, Expectations, and Learning Outcomes to Sustain Self-Efficacy through Transfer Learning Community Programs

ERIC Educational Resources Information Center

Leptien, Jennifer R.

2015-01-01

This chapter addresses strengths and difficulties encountered in implementing transfer learning community models and how efficacy is supported through transfer learning community programming. Transfer programming best practices and recommendations for program improvements are presented.

A Bayesian Developmental Approach to Robotic Goal-Based Imitation Learning.

PubMed

Chung, Michael Jae-Yoon; Friesen, Abram L; Fox, Dieter; Meltzoff, Andrew N; Rao, Rajesh P N

2015-01-01

A fundamental challenge in robotics today is building robots that can learn new skills by observing humans and imitating human actions. We propose a new Bayesian approach to robotic learning by imitation inspired by the developmental hypothesis that children use self-experience to bootstrap the process of intention recognition and goal-based imitation. Our approach allows an autonomous agent to: (i) learn probabilistic models of actions through self-discovery and experience, (ii) utilize these learned models for inferring the goals of human actions, and (iii) perform goal-based imitation for robotic learning and human-robot collaboration. Such an approach allows a robot to leverage its increasing repertoire of learned behaviors to interpret increasingly complex human actions and use the inferred goals for imitation, even when the robot has very different actuators from humans. We demonstrate our approach using two different scenarios: (i) a simulated robot that learns human-like gaze following behavior, and (ii) a robot that learns to imitate human actions in a tabletop organization task. In both cases, the agent learns a probabilistic model of its own actions, and uses this model for goal inference and goal-based imitation. We also show that the robotic agent can use its probabilistic model to seek human assistance when it recognizes that its inferred actions are too uncertain, risky, or impossible to perform, thereby opening the door to human-robot collaboration.

A Bayesian Developmental Approach to Robotic Goal-Based Imitation Learning

PubMed Central

Chung, Michael Jae-Yoon; Friesen, Abram L.; Fox, Dieter; Meltzoff, Andrew N.; Rao, Rajesh P. N.

2015-01-01

A fundamental challenge in robotics today is building robots that can learn new skills by observing humans and imitating human actions. We propose a new Bayesian approach to robotic learning by imitation inspired by the developmental hypothesis that children use self-experience to bootstrap the process of intention recognition and goal-based imitation. Our approach allows an autonomous agent to: (i) learn probabilistic models of actions through self-discovery and experience, (ii) utilize these learned models for inferring the goals of human actions, and (iii) perform goal-based imitation for robotic learning and human-robot collaboration. Such an approach allows a robot to leverage its increasing repertoire of learned behaviors to interpret increasingly complex human actions and use the inferred goals for imitation, even when the robot has very different actuators from humans. We demonstrate our approach using two different scenarios: (i) a simulated robot that learns human-like gaze following behavior, and (ii) a robot that learns to imitate human actions in a tabletop organization task. In both cases, the agent learns a probabilistic model of its own actions, and uses this model for goal inference and goal-based imitation. We also show that the robotic agent can use its probabilistic model to seek human assistance when it recognizes that its inferred actions are too uncertain, risky, or impossible to perform, thereby opening the door to human-robot collaboration. PMID:26536366

Trichotomous goals of elementary school students learning English as a foreign language: a structural equation model.

PubMed

He, Tung-Hsien; Chang, Shan-Mao; Chen, Shu-Hui Eileen; Gou, Wen Johnny

2012-02-01

This study applied structural equation modeling (SEM) techniques to define the relations among trichotomous goals (mastery goals, performance-approach goals, and performance-avoidance goals), self-efficacy, use of metacognitive self-regulation strategies, positive belief in seeking help, and help-avoidance behavior. Elementary school students (N = 105), who were learning English as a foreign language, were surveyed using five self-report scales. The structural equation model showed that self-efficacy led to the adoption of mastery goals but discouraged the adoption of performance-approach goals and performance-avoidance goals. Furthermore, mastery goals increased the use of metacognitive self-regulation strategies, whereas performance-approach goals and performance-avoidance goals reduced their use. Mastery goals encouraged positive belief in help-seeking, but performance-avoidance goals decreased such belief. Finally, performance-avoidance goals directly led to help-avoidance behavior, whereas positive belief assumed a critical role in reducing help-avoidance. The established structural equation model illuminated the potential causal relations among these variables for the young learners in this study.

Development and Assessment of Self-explaining Skills in College Chemistry Instruction

NASA Astrophysics Data System (ADS)

Villalta-Cerdas, Adrian

The prevalent trend in chemistry instruction relies on what has been described as the classroom game. In this model, students take a passive role and the instructor does all the explaining (thinking), and learning is trivialized to knowing the correct answers (memorizing) and being able to produce them when prompted (regurgitating). The generation of explanations is central to scientific and technological development. In the process of figuring out explanations, the generation of inferences relies on the application of skills associated with scientific behaviors (e.g., analytical reasoning and critical thinking). The process of explanation generation causes a deeper analysis and revision of the scientific models, thus impacting the conceptual understanding of such models. Although the process of generating authentic explanations is closer to the experience of doing science, this process is seldom replicated in science instruction. Self-explaining refers to the generation of inferences about causal connections between objects and events. In science, this may be summarized as making sense of how and why actual or hypothetical phenomena take place. Research findings in educational psychology show that implementing activities that elicit self-explaining improves learning in general and specifically enhances authentic learning in the sciences. Research also suggests that self-explaining influences many aspects of cognition, including acquisition of problem-solving skills and conceptual understanding. Although the evidence that links self-explaining and learning is substantial, most of the research has been conducted in experimental settings. The purpose of this work was to advance knowledge in this area by investigating the effect of different self-explaining tasks on self-explaining behavior and the effect of engaging in different levels of self-explaining on learning chemistry concepts. Unlike most of the research in the field, this work did not focus on advancing procedural knowledge through self-explanation of examples or conceptual understanding through self-explanation of textual information and concepts. Instead, it focused on an experience closer to doing science by presenting a familiar phenomenon to the participants and a fact that would potentially induce cognitive imbalance to then prompt them to self-explain. This work used a multi-condition, mixed-method approach to categorize students' self-explaining behaviors in response to learning tasks and link it to the performance in a post-learning task. Students were randomly assigned to conditions that included the following: studying an experts' explanation, explaining correct and incorrect answers, explaining agreement with another's answer, and explaining one's own answer for others to use. Data were gathered in the classroom ecology of a university, large-enrollment general chemistry course. Content and construct validity evidence support the functionality of the research instruments for the assessment of conceptual understanding of entropy and the Second Law of Thermodynamics. An in-depth analysis of the post-learning task showed that the data collected from the instrument is reliable, consistent and reproducible. Findings supported an association between the self-explaining tasks and students' self-explaining behaviors. Results showed distinct categorical self-explaining behaviors in students' written responses. These self-explaining behaviors were associated with the self-explaining task given to the students. Thoughtful design of learning tasks can effectively elicit engagement in sophisticated self-explaining in natural, large-enrollment college chemistry classroom environments. Comparison analyses of performance in the post-learning task suggested that in the context of large-enrollment college chemistry classroom environments, self-explaining activities improved students' conceptual understanding in chemistry. Overall, the work showed that students can self-explain chemical phenomena and apply the underlying chemistry concepts in the resolution of novel problems without direct intervention of an instructor. This work supports the incorporation of self-explaining activities in the repertoire of teaching practices of both experienced and novice instructors for general chemistry courses.

Prior Self-Efficacy Interacts with Experiential Valence to Influence Self-Efficacy among Engineering Students: An Experimental Study

ERIC Educational Resources Information Center

Chang, Yevvon Yi-Chi; Chiou, Wen-Bin

2017-01-01

Self-efficacy toward science learning has been shown to play a crucial role in determining students' motivation and achievements. Social cognitive theory proposes that positive and negative task outcomes affect mastery experiences from which self-efficacy develops. The current research examined whether prior level of self-efficacy would serve as a…

Deep learning and model predictive control for self-tuning mode-locked lasers

NASA Astrophysics Data System (ADS)

Baumeister, Thomas; Brunton, Steven L.; Nathan Kutz, J.

2018-03-01

Self-tuning optical systems are of growing importance in technological applications such as mode-locked fiber lasers. Such self-tuning paradigms require {\\em intelligent} algorithms capable of inferring approximate models of the underlying physics and discovering appropriate control laws in order to maintain robust performance for a given objective. In this work, we demonstrate the first integration of a {\\em deep learning} (DL) architecture with {\\em model predictive control} (MPC) in order to self-tune a mode-locked fiber laser. Not only can our DL-MPC algorithmic architecture approximate the unknown fiber birefringence, it also builds a dynamical model of the laser and appropriate control law for maintaining robust, high-energy pulses despite a stochastically drifting birefringence. We demonstrate the effectiveness of this method on a fiber laser which is mode-locked by nonlinear polarization rotation. The method advocated can be broadly applied to a variety of optical systems that require robust controllers.

Model parameter learning using Kullback-Leibler divergence

NASA Astrophysics Data System (ADS)

Lin, Chungwei; Marks, Tim K.; Pajovic, Milutin; Watanabe, Shinji; Tung, Chih-kuan

2018-02-01

In this paper, we address the following problem: For a given set of spin configurations whose probability distribution is of the Boltzmann type, how do we determine the model coupling parameters? We demonstrate that directly minimizing the Kullback-Leibler divergence is an efficient method. We test this method against the Ising and XY models on the one-dimensional (1D) and two-dimensional (2D) lattices, and provide two estimators to quantify the model quality. We apply this method to two types of problems. First, we apply it to the real-space renormalization group (RG). We find that the obtained RG flow is sufficiently good for determining the phase boundary (within 1% of the exact result) and the critical point, but not accurate enough for critical exponents. The proposed method provides a simple way to numerically estimate amplitudes of the interactions typically truncated in the real-space RG procedure. Second, we apply this method to the dynamical system composed of self-propelled particles, where we extract the parameter of a statistical model (a generalized XY model) from a dynamical system described by the Viscek model. We are able to obtain reasonable coupling values corresponding to different noise strengths of the Viscek model. Our method is thus able to provide quantitative analysis of dynamical systems composed of self-propelled particles.

Investigating the motivational behavior of pupils during outdoor science teaching within self-determination theory.

PubMed

Dettweiler, Ulrich; Ünlü, Ali; Lauterbach, Gabriele; Becker, Christoph; Gschrey, Bernhard

2015-01-01

This paper presents data from a mixed-method pilot study (n = 84) searching into learning psychological aspects of an outdoor science teaching program. We use data from qualitative explorations into the pupils' learning motivation during field observation, a group interview, and open questionnaires, in order to understand quantitative measures from the Self-Determination Index (SDI), and the Practical Orientation (PO) of the program. Our data suggest that lower self-regulated pupils in "normal" science classes show a significantly higher self-regulated learning motivational behavior in the outdoor educational setting (p < 10(-4)), and that the outdoor-teaching has generally been perceived as more practical than teaching at the normal school context (p < 10(-4)), irrespective of gender or school culture. We are going to provide in-depth analyses of all quantitative findings with our qualitative data and thus explain the findings logically, with respect to the direction of the statistical interpretation, and substantially, with respect to the meaning of the discoveries. We conclude that outdoor programming appears to be a suitable tool to trigger interest in science in youngsters, especially for less motivated pupils.

An Implementation Plan Affecting Student Learning and Development.

ERIC Educational Resources Information Center

Harr, Gary L.

During summer 1986, the Department of Student Affairs at Florida Community College at Jacksonville adopted a model of student learning and development focused on the theoretical elements that contribute to a holistic view of the ways people grow, learn, and change as they mature. The outcomes-based model focuses on self-direction, including the…

An Investigation of Employees' Use of E-Learning Systems: Applying the Technology Acceptance Model

ERIC Educational Resources Information Center

Lee, Yi-Hsuan; Hsieh, Yi-Chuan; Chen, Yen-Hsun

2013-01-01

The purpose of this study is to apply the technology acceptance model to examine the employees' attitudes and acceptance of electronic learning (e-learning) systems in organisations. This study examines four factors (organisational support, computer self-efficacy, prior experience and task equivocality) that are believed to influence employees'…

Student conceptions of feedback: Impact on self-regulation, self-efficacy, and academic achievement.

PubMed

Brown, Gavin T L; Peterson, Elizabeth R; Yao, Esther S

2016-12-01

Lecturers give feedback on assessed work in the hope that students will take it on board and use it to help regulate their learning for the next assessment. However, little is known about how students' conceptions of feedback relate to students' self-regulated learning and self-efficacy beliefs and academic performance. This study explores student beliefs about the role and purpose of feedback and the relationship of those beliefs to self-reported self-regulation and self-efficacy, and achievement. A total of 278 university students in a general education course on learning theory and approaches in a research-intensive university. Self-reported survey responses for students' conceptions of feedback (SCoF), self-regulation (SRL), academic self-efficacy (ASE), and Grade Point Average (GPA) were evaluated first with confirmatory factor analysis and then interlinked in a structural equation model. Three SCoF factors predicted SRL and/or GPA. The SCoF factor 'I use feedback' had positive associations with SRL (β = .44), GPA (β = .45), and ASE (β = .15). The SCoF factors 'tutor/marker comments' and 'peers help' both had negative relations to GPA (β = -.41 and -.16, respectively). 'Peers help' had a positive connection to SRL (β = .21). ASE itself made a small contribution to overall GPA (β = .16), while SRL had no statistically significant relation to GPA. The model indicates the centrality of believing that feedback exists to guide next steps in learning and thus contributes to SRL, ASE, and increased GPA. © 2016 The British Psychological Society.

Student Learning about Biomolecular Self-Assembly Using Two Different External Representations

PubMed Central

Höst, Gunnar E.; Larsson, Caroline; Olson, Arthur; Tibell, Lena A. E.

2013-01-01

Self-assembly is the fundamental but counterintuitive principle that explains how ordered biomolecular complexes form spontaneously in the cell. This study investigated the impact of using two external representations of virus self-assembly, an interactive tangible three-dimensional model and a static two-dimensional image, on student learning about the process of self-assembly in a group exercise. A conceptual analysis of self-assembly into a set of facets was performed to support study design and analysis. Written responses were collected in a pretest/posttest experimental design with 32 Swedish university students. A quantitative analysis of close-ended items indicated that the students improved their scores between pretest and posttest, with no significant difference between the conditions (tangible model/image). A qualitative analysis of an open-ended item indicated students were unfamiliar with self-assembly prior to the study. Students in the tangible model condition used the facets of self-assembly in their open-ended posttest responses more frequently than students in the image condition. In particular, it appears that the dynamic properties of the tangible model may support student understanding of self-assembly in terms of the random and reversible nature of molecular interactions. A tentative difference was observed in response complexity, with more multifaceted responses in the tangible model condition. PMID:24006395

Student learning about biomolecular self-assembly using two different external representations.

PubMed

Höst, Gunnar E; Larsson, Caroline; Olson, Arthur; Tibell, Lena A E

2013-01-01

Self-assembly is the fundamental but counterintuitive principle that explains how ordered biomolecular complexes form spontaneously in the cell. This study investigated the impact of using two external representations of virus self-assembly, an interactive tangible three-dimensional model and a static two-dimensional image, on student learning about the process of self-assembly in a group exercise. A conceptual analysis of self-assembly into a set of facets was performed to support study design and analysis. Written responses were collected in a pretest/posttest experimental design with 32 Swedish university students. A quantitative analysis of close-ended items indicated that the students improved their scores between pretest and posttest, with no significant difference between the conditions (tangible model/image). A qualitative analysis of an open-ended item indicated students were unfamiliar with self-assembly prior to the study. Students in the tangible model condition used the facets of self-assembly in their open-ended posttest responses more frequently than students in the image condition. In particular, it appears that the dynamic properties of the tangible model may support student understanding of self-assembly in terms of the random and reversible nature of molecular interactions. A tentative difference was observed in response complexity, with more multifaceted responses in the tangible model condition.

Development and validation of the Simulation Learning Effectiveness Scale for nursing students.

PubMed

Pai, Hsiang-Chu

2016-11-01

To develop and validate the Simulation Learning Effectiveness Scale, which is based on Bandura's social cognitive theory. A simulation programme is a significant teaching strategy for nursing students. Nevertheless, there are few evidence-based instruments that validate the effectiveness of simulation learning in Taiwan. This is a quantitative descriptive design. In Study 1, a nonprobability convenience sample of 151 student nurses completed the Simulation Learning Effectiveness Scale. Exploratory factor analysis was used to examine the factor structure of the instrument. In Study 2, which involved 365 student nurses, confirmatory factor analysis and structural equation modelling were used to analyse the construct validity of the Simulation Learning Effectiveness Scale. In Study 1, exploratory factor analysis yielded three components: self-regulation, self-efficacy and self-motivation. The three factors explained 29·09, 27·74 and 19·32% of the variance, respectively. The final 12-item instrument with the three factors explained 76·15% of variance. Cronbach's alpha was 0·94. In Study 2, confirmatory factor analysis identified a second-order factor termed Simulation Learning Effectiveness Scale. Goodness-of-fit indices showed an acceptable fit overall with the full model (χ 2 /df (51) = 3·54, comparative fit index = 0·96, Tucker-Lewis index = 0·95 and standardised root-mean-square residual = 0·035). In addition, teacher's competence was found to encourage learning, and self-reflection and insight were significantly and positively associated with Simulation Learning Effectiveness Scale. Teacher's competence in encouraging learning also was significantly and positively associated with self-reflection and insight. Overall, theses variable explained 21·9% of the variance in the student's learning effectiveness. The Simulation Learning Effectiveness Scale is a reliable and valid means to assess simulation learning effectiveness for nursing students. The Simulation Learning Effectiveness Scale can be used to examine nursing students' learning effectiveness and serve as a basis to improve student's learning efficiency through simulation programmes. Future implementation research that focuses on the relationship between learning effectiveness and nursing competence in nursing students is recommended. © 2016 John Wiley & Sons Ltd.

Self-Assessment of Competences in Management Education

ERIC Educational Resources Information Center

Hernández López, Lidia; de Saá Pérez, Petra; Ballesteros Rodríguez, Jose Luis; García Almeida, Desiderio

2015-01-01

Purpose: The purpose of this paper is to discuss the theoretical and practical need for research into the learning conditions that influence a student's self-assessment of their competences in management education. By means of a theoretical review, the paper introduces a model that integrates various learning conditions related to a student's…

Self-Regulatory Efficacy and Mindset of At-Risk Students: An Exploratory Study

ERIC Educational Resources Information Center

Matheson, Ian A.

2015-01-01

There is a limited body of research examining how students' beliefs about intelligence and about their abilities relate to different learning environments. As reported here, I examined secondary school students' beliefs, goals, and expectations guided by Zimmerman's (2000) model of self-regulated learning. In this exploratory study, 230 secondary…

Stages of Learning during a Self-Directed Stress Management Experience

ERIC Educational Resources Information Center

Larson, Karl L.

2015-01-01

Purpose: The purpose of the study was to document the stages of learning reflected through student journaling during a self-directed experience in stress management, and the relationship of those stages to a historical model. Methods: College students participating in a full-semester course in stress management theory were required to select a…

Students' Self-Regulation for Interaction with Others in Online Learning Environments

ERIC Educational Resources Information Center

Cho, Moon-Heum; Kim, B. Joon

2013-01-01

The purpose of this study was to explore variables explaining students' self-regulation (SR) for interaction with others, specifically peers and instructors, in online learning environments. A total of 407 students participated in the study. With hierarchical regression model (HRM), several variables were regressed on students' SR for interaction…

A Phenomenological Exploration of Self-Directed Learning among Successful Minority Entrepreneurs

ERIC Educational Resources Information Center

Alexander, Nancy Hope

2013-01-01

This transcendental, phenomenological study explored the Self-directed learning (SDL) of 10 successful minority entrepreneurs. Two SDL theories serve as lenses for the study, Spear and Mocker's (1984) Organizing Circumstance and Brockett and Heimstra's (1991) Personal Responsibility Orientation model. Five themes emerged from the data:…

The Interactions of Relationships, Interest, and Self-Efficacy in Undergraduate Physics

NASA Astrophysics Data System (ADS)

Dou, Remy

This collected papers dissertation explores students' academic interactions in an active learning, introductory physics settings as they relate to the development of physics self-efficacy and interest. The motivation for this work extends from the national call to increase participation of students in the pursuit of science, technology, engineering, and mathematics (STEM) careers. Self-efficacy and interest are factors that play prominent roles in popular, evidence-based, career theories, including the Social cognitive career theory (SCCT) and the identity framework. Understanding how these constructs develop in light of the most pervasive characteristic of the active learning introductory physics classroom (i.e., peer-to-peer interactions) has implications on how students learn in a variety of introductory STEM classrooms and settings structured after constructivist and sociocultural learning theories. I collected data related to students' in-class interactions using the tools of social network analysis (SNA). Social network analysis has recently been shown to be an effective and useful way to examine the structure of student relationships that develop in and out of STEM classrooms. This set of studies furthers the implementation of SNA as a tool to examine self-efficacy and interest formation in the active learning physics classroom. Here I represent a variety of statistical applications of SNA, including bootstrapped linear regression (Chapter 2), structural equation modeling (Chapter 3), and hierarchical linear modeling for longitudinal analyses (Chapter 4). Self-efficacy data were collected using the Sources of Self-Efficacy for Science Courses - Physics survey (SOSESC-P), and interest data were collected using the physics identity survey. Data for these studies came from the Modeling Instruction sections of Introductory Physics with Calculus offered at Florida International University in the fall of 2014 and 2015. Analyses support the idea that students' perceptions of one another impact the development of their social network centrality, which in turn affects their self-efficacy building experiences and their overall self-efficacy. It was shown that unlike career theories that emphasize causal relationships between the development of self-efficacy and the subsequent growth of student interest, in this context student interest takes precedence before the development of student self-efficacy. This outcome also has various implications for career theories.

Relationships among Sense of Classroom Community, Perceived Cognitive Learning and Satisfaction of Students at an E-Learning Course

ERIC Educational Resources Information Center

Baturay, M. H.

2011-01-01

This study aims to determine whether there is a relationship between students' sense of community, perceived cognitive learning, and satisfaction in an e-learning course. Additionally, the relationship of these variables with Internet self-efficacy and final examination scores is investigated. The participants were 88 students enrolled in…

Self-control over combined video feedback and modeling facilitates motor learning.

PubMed

Post, Phillip G; Aiken, Christopher A; Laughlin, David D; Fairbrother, Jeffrey T

2016-06-01

Allowing learners to control the video presentation of knowledge of performance (KP) or an expert model during practice has been shown to facilitate motor learning (Aiken, Fairbrother, & Post, 2012; Wulf, Raupach, & Pfeiffer, 2005). Split-screen replay features now allow for the simultaneous presentation of these modes of instructional support. It is uncertain, however, if such a combination incorporated into a self-control protocol would yield similar benefits seen in earlier self-control studies. Therefore, the purpose of the present study was to examine the effects of self-controlled split-screen replay on the learning of a golf chip shot. Participants completed 60 practice trials, three administrations of the Intrinsic Motivation Inventory, and a questionnaire on day one. Retention and transfer tests and a final motivation inventory were completed on day two. Results revealed significantly higher form and accuracy scores for the self-control group during transfer. The self-control group also had significantly higher scores on the perceived competence subscale, reported requesting feedback mostly after perceived poor trials, and recalled a greater number of critical task features compared to the yoked group. The findings for the performance measures were consistent with previous self-control research. Copyright © 2016 Elsevier B.V. All rights reserved.

Mathematical learning instruction and teacher motivation factors affecting science technology engineering and math (STEM) major choices in 4-year colleges and universities: Multilevel structural equation modeling

NASA Astrophysics Data System (ADS)

Lee, Ahlam

2011-12-01

Using the Educational Longitudinal Study of 2002/06, this study examined the effects of the selected mathematical learning and teacher motivation factors on graduates' science, technology, engineering, and math (STEM) related major choices in 4-year colleges and universities, as mediated by math performance and math self-efficacy. Using multilevel structural equation modeling, I analyzed: (1) the association between mathematical learning instruction factors (i.e., computer, individual, and lecture-based learning activities in mathematics) and students' STEM major choices in 4-year colleges and universities as mediated by math performance and math self-efficacy and (2) the association between school factor, teacher motivation and students' STEM major choices in 4-year colleges and universities via mediators of math performance and math self-efficacy. The results revealed that among the selected learning experience factors, computer-based learning activities in math classrooms yielded the most positive effects on math self-efficacy, which significantly predicted the increase in the proportion of students' STEM major choice as mediated by math self-efficacy. Further, when controlling for base-year math Item Response Theory (IRT) scores, a positive relationship between individual-based learning activities in math classrooms and the first follow-up math IRT scores emerged, which related to the high proportion of students' STEM major choices. The results also indicated that individual and lecture-based learning activities in math yielded positive effects on math self-efficacy, which related to STEM major choice. Concerning between-school levels, teacher motivation yielded positive effects on the first follow up math IRT score, when controlling for base year IRT score. The results from this study inform educators, parents, and policy makers on how mathematics instruction can improve student math performance and encourage more students to prepare for STEM careers. Students should receive all possible opportunities to use computers to enhance their math self-efficacy, be encouraged to review math materials, and concentrate on listening to math teachers' lectures. While all selected math-learning activities should be embraced in math instruction, computer and individual-based learning activities, which reflect student-driven learning, should be emphasized in the high school instruction. Likewise, students should be encouraged to frequently engage in individual-based learning activities to improve their math performance.

Twelve tips to stimulate intrinsic motivation in students through autonomy-supportive classroom teaching derived from self-determination theory.

PubMed

Kusurkar, R A; Croiset, G; Ten Cate, Th J

2011-01-01

Self-determination theory (SDT) of motivations distinguishes between intrinsic and extrinsic motivations. Intrinsic motivation is observed when one engages in an activity out of genuine interest and is truly self-determined. Intrinsic motivation is the desired type of motivation for study as it is associated with deep learning, better performance and positive well-being in comparison to extrinsic motivation. It is dependent on the fulfilment of three basic psychological needs described by SDT. These are the needs for autonomy, competence and relatedness. According to SDT, autonomy-supportive teaching is important, because it makes students feel autonomous and competent in their learning and also supported (relatedness) by their teachers. The concept of autonomy-supportive teaching is relevant to medical education, but less known. Through this article, we aim to make this concept understood and practically used by medical teachers. We used SDT literature as a basis to formulate these 12 tips. We present 12 practical tips derived from SDT, for teachers in health professions, on how to engage in autonomy-supportive teaching behaviours in order to stimulate intrinsic motivation in their students. These tips demonstrate that it is not difficult to engage in autonomy-supportive teaching behaviour. It can be learned through practice and self-reflection on teaching practices.

High Ability Students' Voice on Learning Motivation

ERIC Educational Resources Information Center

Garn, Alex C.; Jolly, Jennifer L.

2014-01-01

This study used a self-determination theory lens to investigate high ability learners' motivational experiences. Participants were 15 high ability youth involved in a summer learning camp for gifted students. Two major themes emerged from qualitative data analysis: (a) "The Fun Factor of Learning" and (b) "The Rewards and Pressures…

Self-Control as Predictor of School Grades, Life Balance, and Flow in Adolescents

ERIC Educational Resources Information Center

Kuhnle, Claudia; Hofer, Manfred; Kilian, Britta

2012-01-01

Background: Recently, several studies have shown that strength of self-control is a crucial factor in determining positive outcomes in individuals' lives. Most attention has been directed to the relationships that self-control has with learning and academic achievement. Aims: This article analyses the effects of self-control not only on school…

Developing Professional Identity in Undergraduate Pharmacy Students: A Role for Self-Determination Theory

PubMed Central

Mylrea, Martina F.; Sen Gupta, Tarun; Glass, Beverley D.

2017-01-01

Professional identity development, seen as essential in the transition from student to professional, needs to be owned by the universities in order to ensure a workforce appropriately prepared to provide global health care in the future. The development of professional identity involves a focus on who the student is becoming, as well as what they know or can do, and requires authentic learning experiences such as practice exposure and interaction with pharmacist role models. This article examines conceptual frameworks aligned with professional identity development and will explore the role for self-determination theory (SDT) in pharmacy professional education. SDT explains the concepts of competence, relatedness and autonomy and the part they play in producing highly motivated individuals, leading to the development of one’s sense of self. Providing support for students in these three critical areas may, in accordance with the tenets of SDT, have the potential to increase motivation levels and their sense of professional identity. PMID:28970428

Developing Professional Identity in Undergraduate Pharmacy Students: A Role for Self-Determination Theory.

PubMed

Mylrea, Martina F; Sen Gupta, Tarun; Glass, Beverley D

2017-03-24

Professional identity development, seen as essential in the transition from student to professional, needs to be owned by the universities in order to ensure a workforce appropriately prepared to provide global health care in the future. The development of professional identity involves a focus on who the student is becoming, as well as what they know or can do, and requires authentic learning experiences such as practice exposure and interaction with pharmacist role models. This article examines conceptual frameworks aligned with professional identity development and will explore the role for self-determination theory (SDT) in pharmacy professional education. SDT explains the concepts of competence, relatedness and autonomy and the part they play in producing highly motivated individuals, leading to the development of one's sense of self. Providing support for students in these three critical areas may, in accordance with the tenets of SDT, have the potential to increase motivation levels and their sense of professional identity.

Acute anxiety and social inference: An experimental manipulation with 7.5% carbon dioxide inhalation

PubMed Central

Button, Katherine S; Karwatowska, Lucy; Kounali, Daphne; Munafò, Marcus R; Attwood, Angela S

2016-01-01

Background: Positive self-bias is thought to be protective for mental health. We previously found that the degree of positive bias when learning self-referential social evaluation decreases with increasing social anxiety. It is unclear whether this reduction is driven by differences in state or trait anxiety, as both are elevated in social anxiety; therefore, we examined the effects on the state of anxiety induced by the 7.5% carbon dioxide (CO2) inhalation model of generalised anxiety disorder (GAD) on social evaluation learning. Methods: For our study, 48 (24 of female gender) healthy volunteers took two inhalations (medical air and 7.5% CO2, counterbalanced) whilst learning social rules (self-like, self-dislike, other-like and other-dislike) in an instrumental social evaluation learning task. We analysed the outcomes (number of positive responses and errors to criterion) using the random effects Poisson regression. Results: Participants made fewer and more positive responses when breathing 7.5% CO2 in the other-like and other-dislike rules, respectively (gas × condition × rule interaction p = 0.03). Individuals made fewer errors learning self-like than self-dislike, and this positive self-bias was unaffected by CO2. Breathing 7.5% CO2 increased errors, but only in the other-referential rules (gas × condition × rule interaction p = 0.003). Conclusions: Positive self-bias (i.e. fewer errors learning self-like than self-dislike) seemed robust to changes in state anxiety. In contrast, learning other-referential evaluation was impaired as state anxiety increased. This suggested that the previously observed variations in self-bias arise due to trait, rather than state, characteristics. PMID:27380750

Acute anxiety and social inference: An experimental manipulation with 7.5% carbon dioxide inhalation.

PubMed

Button, Katherine S; Karwatowska, Lucy; Kounali, Daphne; Munafò, Marcus R; Attwood, Angela S

2016-10-01

Positive self-bias is thought to be protective for mental health. We previously found that the degree of positive bias when learning self-referential social evaluation decreases with increasing social anxiety. It is unclear whether this reduction is driven by differences in state or trait anxiety, as both are elevated in social anxiety; therefore, we examined the effects on the state of anxiety induced by the 7.5% carbon dioxide (CO2) inhalation model of generalised anxiety disorder (GAD) on social evaluation learning. For our study, 48 (24 of female gender) healthy volunteers took two inhalations (medical air and 7.5% CO2, counterbalanced) whilst learning social rules (self-like, self-dislike, other-like and other-dislike) in an instrumental social evaluation learning task. We analysed the outcomes (number of positive responses and errors to criterion) using the random effects Poisson regression. Participants made fewer and more positive responses when breathing 7.5% CO2 in the other-like and other-dislike rules, respectively (gas × condition × rule interaction p = 0.03). Individuals made fewer errors learning self-like than self-dislike, and this positive self-bias was unaffected by CO2. Breathing 7.5% CO2 increased errors, but only in the other-referential rules (gas × condition × rule interaction p = 0.003). Positive self-bias (i.e. fewer errors learning self-like than self-dislike) seemed robust to changes in state anxiety. In contrast, learning other-referential evaluation was impaired as state anxiety increased. This suggested that the previously observed variations in self-bias arise due to trait, rather than state, characteristics. © The Author(s) 2016.

The Mind-Body-Spirit Learning Model: Transformative Learning Connections to Holistic Perspectives: Seizing Control of Your Healthcare--The Relationship among Self-Agency, Transformative Learning, and Wellness

ERIC Educational Resources Information Center

King, Kathleen P.

2012-01-01

At a time when the medical field is dominated by the pressures of private insurance demands and government regulations, many people discover they need to be self advocates in order to battle illness and regain their health. Moreover, these issues are not constant, as many countries (like the USA) face changing demographics and continuing radical…

Toward a self-organizing pre-symbolic neural model representing sensorimotor primitives.

PubMed

Zhong, Junpei; Cangelosi, Angelo; Wermter, Stefan

2014-01-01

The acquisition of symbolic and linguistic representations of sensorimotor behavior is a cognitive process performed by an agent when it is executing and/or observing own and others' actions. According to Piaget's theory of cognitive development, these representations develop during the sensorimotor stage and the pre-operational stage. We propose a model that relates the conceptualization of the higher-level information from visual stimuli to the development of ventral/dorsal visual streams. This model employs neural network architecture incorporating a predictive sensory module based on an RNNPB (Recurrent Neural Network with Parametric Biases) and a horizontal product model. We exemplify this model through a robot passively observing an object to learn its features and movements. During the learning process of observing sensorimotor primitives, i.e., observing a set of trajectories of arm movements and its oriented object features, the pre-symbolic representation is self-organized in the parametric units. These representational units act as bifurcation parameters, guiding the robot to recognize and predict various learned sensorimotor primitives. The pre-symbolic representation also accounts for the learning of sensorimotor primitives in a latent learning context.

Toward a self-organizing pre-symbolic neural model representing sensorimotor primitives

PubMed Central

Zhong, Junpei; Cangelosi, Angelo; Wermter, Stefan

2014-01-01

The acquisition of symbolic and linguistic representations of sensorimotor behavior is a cognitive process performed by an agent when it is executing and/or observing own and others' actions. According to Piaget's theory of cognitive development, these representations develop during the sensorimotor stage and the pre-operational stage. We propose a model that relates the conceptualization of the higher-level information from visual stimuli to the development of ventral/dorsal visual streams. This model employs neural network architecture incorporating a predictive sensory module based on an RNNPB (Recurrent Neural Network with Parametric Biases) and a horizontal product model. We exemplify this model through a robot passively observing an object to learn its features and movements. During the learning process of observing sensorimotor primitives, i.e., observing a set of trajectories of arm movements and its oriented object features, the pre-symbolic representation is self-organized in the parametric units. These representational units act as bifurcation parameters, guiding the robot to recognize and predict various learned sensorimotor primitives. The pre-symbolic representation also accounts for the learning of sensorimotor primitives in a latent learning context. PMID:24550798

Task complexity, student perceptions of vocabulary learning in EFL, and task performance.

PubMed

Wu, Xiaoli; Lowyck, Joost; Sercu, Lies; Elen, Jan

2013-03-01

The study deepened our understanding of how students' self-efficacy beliefs contribute to the context of teaching English as a foreign language in the framework of cognitive mediational paradigm at a fine-tuned task-specific level. The aim was to examine the relationship among task complexity, self-efficacy beliefs, domain-related prior knowledge, learning strategy use, and task performance as they were applied to English vocabulary learning from reading tasks. Participants were 120 second-year university students (mean age 21) from a Chinese university. This experiment had two conditions (simple/complex). A vocabulary level test was first conducted to measure participants' prior knowledge of English vocabulary. Participants were then randomly assigned to one of the learning tasks. Participants were administered task booklets together with the self-efficacy scales, measures of learning strategy use, and post-tests. Data obtained were submitted to multivariate analysis of variance (MANOVA) and path analysis. Results from the MANOVA model showed a significant effect of vocabulary level on self-efficacy beliefs, learning strategy use, and task performance. Task complexity showed no significant effect; however, an interaction effect between vocabulary level and task complexity emerged. Results from the path analysis showed self-efficacy beliefs had an indirect effect on performance. Our results highlighted the mediating role of self-efficacy beliefs and learning strategy use. Our findings indicate that students' prior knowledge plays a crucial role on both self-efficacy beliefs and task performance, and the predictive power of self-efficacy on task performance may lie in its association with learning strategy use. © 2011 The British Psychological Society.

Opinions and Self-Evaluation of the Students of Geography Department about the Applications of Cooperative Learning in Regional Geography Course

ERIC Educational Resources Information Center

Aydin, Fatih

2013-01-01

The aim of this study was to determine the opinions and self-evaluation of the students of Geography Department about the applications of Cooperative Learning in Regional Geography course. The study was carried out for twelve weeks with 76 students who are in the Department of Geography, Faculty of Arts, Karabuk University between 2011-12. In this…

The Outcome of Constructive Alignment between Open Educational Services and Learners' Needs, Employability and Capabilities Development: Heutagogy and Transformative Migration among Underprivileged Learners in Rwanda

ERIC Educational Resources Information Center

Nkuyubwatsi, Bernard

2016-01-01

While teachers play an important role in education and supporting learning, many learners in under-resourced settings are not privileged to have access to teachers. Some of these underprivileged learners deal with the issue by engaging in self-determined and self-directed learning. Their efforts sometimes pay off with access to formal higher…

Modeling Achievement in Mathematics: The Role of Learner and Learning Environment Characteristics

ERIC Educational Resources Information Center

Nasser-Abu Alhija, Fadia; Amasha, Marcel

2012-01-01

This study examined a structural model of mathematics achievement among Druze 8th graders in Israel. The model integrates 2 psychosocial theories: goal theory and social learning theory. Variables in the model included gender, father's and mother's education, classroom mastery and performance goal orientation, mathematics self-efficacy and…

How are learning strategies reflected in the eyes? Combining results from self-reports and eye-tracking.

PubMed

Catrysse, Leen; Gijbels, David; Donche, Vincent; De Maeyer, Sven; Lesterhuis, Marije; Van den Bossche, Piet

2018-03-01

Up until now, empirical studies in the Student Approaches to Learning field have mainly been focused on the use of self-report instruments, such as interviews and questionnaires, to uncover differences in students' general preferences towards learning strategies, but have focused less on the use of task-specific and online measures. This study aimed at extending current research on students' learning strategies by combining general and task-specific measurements of students' learning strategies using both offline and online measures. We want to clarify how students process learning contents and to what extent this is related to their self-report of learning strategies. Twenty students with different generic learning profiles (according to self-report questionnaires) read an expository text, while their eye movements were registered to answer questions on the content afterwards. Eye-tracking data were analysed with generalized linear mixed-effects models. The results indicate that students with an all-high profile, combining both deep and surface learning strategies, spend more time on rereading the text than students with an all-low profile, scoring low on both learning strategies. This study showed that we can use eye-tracking to distinguish very strategic students, characterized using cognitive processing and regulation strategies, from low strategic students, characterized by a lack of cognitive and regulation strategies. These students processed the expository text according to how they self-reported. © 2017 The British Psychological Society.

Take Charge of Pain: evaluating a community-targeted self-management education program for people with musculoskeletal pain.

PubMed

Hoon, Elizabeth; Smith, Karen; Black, Julie; Burnet, Simon; Hill, Catherine; Gill, Tiffany K

2017-03-01

Issue addressed Musculoskeletal conditions are highly prevalent, affecting 28% of the Australian population. Given the persistent nature of many musculoskeletal conditions self-management is recognised as an important aspect of effective disease management. However, participant recruitment and retention for formal self-management programs is a challenge. Methods Arthritis SA (Arthritis Foundation of South Australia, a non-profit community health organisation) redesigned a shorter, community-orientated self-management education program delivered by health professionals. The program utilises aspects of the Stanford model of chronic disease self-management and motivational interviewing as well as principles of adult learning to create an effective learning environment. The program aims to guide participants to learn and practise a range of pain management strategies that are known to be effective in improving quality of life. This study used a pre- and post-test (at 6 weeks) design to determine whether this program achieved benefits in self-reported health outcomes. Outcomes that were measured included pain, fatigue, health distress, self-efficacy and communication. Results A response rate of 47% (n=102) was achieved and small but statistically significant improvements in mean [s.d.] pain scores (6.1 [2.3] to 5.4 [2.4], P=0.001), health distress (2.3 [1.3] to 2.0 [1.3], P=0.002) and self-efficacy (6.2 [2.1] to 6.8 [2.2], P=0.002) were found. Conclusion Community-based participants of this shorter, focused program recorded small but significant improvements in self-reported pain, health distress and self-efficacy. For those who completed the current program, Arthritis SA is currently exploring the potential of developing a booster session to promote sustainable positive health outcomes. So what? Supporting self-management through education is recognised as important but also as a key challenge for effective management of musculoskeletal conditions. Using a pre-post evaluation design, this study demonstrated effectiveness (short-term improvements for self-reported pain, health distress and self-efficacy) for a redesigned and shortened community-targeted program focusing on musculoskeletal pain.

Enhancing Self-Esteem through Self-Management Strategies.

ERIC Educational Resources Information Center

Valett, Robert E.

Self-esteem, well managed, is a powerful force for effective learning. Research has shown that good self-esteem is associated with analytical thinking, persistence, creative ability, social independence, stability and high expectations, and that the antecedents of positive self-esteem are found in parental models who provide firm guidance in the…

Self-Generated Analogical Models of Respiratory Pathways

ERIC Educational Resources Information Center

Lee, Yeung Chung

2015-01-01

Self-generated analogical models have emerged recently as alternatives to teacher-supplied analogies and seem to have good potential to promote deep learning and scientific thinking. However, studies of the ways and contexts in which students generate these models are still too limited to allow a fuller appraisal of these models' effectiveness in…

Learned Helplessness: The Need for Self-Determination among the Chinese American Elderly.

ERIC Educational Resources Information Center

Wong, Eugene Franklin

1980-01-01

Within the context of the social history of the Chinese American elderly in the United States, the author analyzes the psychological and cultural patterns of learned helplessness among this minority group. (EF)

Chinese baccalaureate nursing students' readiness for self-directed learning.

PubMed

Yuan, Hao Bin; Williams, Beverly A; Fang, Jin Bo; Pang, Dong

2012-05-01

This descriptive cross-sectional study was conducted with 536 Chinese nursing students to explore students' readiness for self-directed learning (SDL). The Self-Directed Learning Readiness (SDLR) Scale for nursing education (Chinese translation version) was used. The value of the content validity index tested by five experts was 0.915. A measure of internal consistency (Cronbach's alpha) was 0.925 on the total scale. Students possessed readiness for SDL with a mean score of 157.72 (S.D.=15.08, 62.3% in high level, and 37.7% in low level). The attributes of Chinese students, such as a strong sense of responsibility and perseverance, due diligence and rigorous self-discipline, enable students to take the initiative and responsibility for their own learning. The existing variation in students' readiness for SDL is helpful in identifying student characteristics that might be used to modify learning activities for these students. Senior students had higher scores for SDLR than junior students. This finding likely reflects the maturational process of developing self-directedness. Promoting SDL skills is a challenging process for faculty members and students. It is helpful if nurse educators assess the learning styles and preferences of their students in order to determine the level of SDL activities to include from year to year in the curriculum. Copyright © 2011 Elsevier Ltd. All rights reserved.

Administrator Views on Providing Self-Determination Instruction in Elementary and Secondary Schools

ERIC Educational Resources Information Center

Carter, Erik W.; Lane, Kathleen Lynne; Jenkins, Abbie B.; Magill, Lauren; Germer, Kathryn; Greiner, Steven M.

2015-01-01

We report findings from a statewide study of 333 administrators focused on (a) the extent to which they prioritize each of seven self-determination skills, (b) whether and where staff at their schools are providing instruction on these seven skills, and (c) potential avenues for equipping educators to learn strategies for fostering…

Teachers' Conceptions of Motivation and Motivating Practices in Second-Language Learning: A Self-Determination Theory Perspective

ERIC Educational Resources Information Center

Muñoz, Ana; Ramirez, Marta

2015-01-01

Based on self-determination theory, we conducted an exploratory study aimed at identifying teachers' beliefs about motivation and motivating practices in second-language teaching at a private language center in Medellin, Colombia. To gather data, 65 teachers were surveyed; from this initial group, 11 were interviewed and observed in class during…

Enhancing Diversity in Undergraduate Science: Self-Efficacy Drives Performance Gains with Active Learning

PubMed Central

Ballen, Cissy J.; Wieman, Carl; Salehi, Shima; Searle, Jeremy B.; Zamudio, Kelly R.

2017-01-01

Efforts to retain underrepresented minority (URM) students in science, technology, engineering, and mathematics (STEM) have shown only limited success in higher education, due in part to a persistent achievement gap between students from historically underrepresented and well-represented backgrounds. To test the hypothesis that active learning disproportionately benefits URM students, we quantified the effects of traditional versus active learning on student academic performance, science self-efficacy, and sense of social belonging in a large (more than 250 students) introductory STEM course. A transition to active learning closed the gap in learning gains between non-URM and URM students and led to an increase in science self-efficacy for all students. Sense of social belonging also increased significantly with active learning, but only for non-URM students. Through structural equation modeling, we demonstrate that, for URM students, the increase in self-efficacy mediated the positive effect of active-learning pedagogy on two metrics of student performance. Our results add to a growing body of research that supports varied and inclusive teaching as one pathway to a diversified STEM workforce. PMID:29054921

A bio-inspired kinematic controller for obstacle avoidance during reaching tasks with real robots.

PubMed

Srinivasa, Narayan; Bhattacharyya, Rajan; Sundareswara, Rashmi; Lee, Craig; Grossberg, Stephen

2012-11-01

This paper describes a redundant robot arm that is capable of learning to reach for targets in space in a self-organized fashion while avoiding obstacles. Self-generated movement commands that activate correlated visual, spatial and motor information are used to learn forward and inverse kinematic control models while moving in obstacle-free space using the Direction-to-Rotation Transform (DIRECT). Unlike prior DIRECT models, the learning process in this work was realized using an online Fuzzy ARTMAP learning algorithm. The DIRECT-based kinematic controller is fault tolerant and can handle a wide range of perturbations such as joint locking and the use of tools despite not having experienced them during learning. The DIRECT model was extended based on a novel reactive obstacle avoidance direction (DIRECT-ROAD) model to enable redundant robots to avoid obstacles in environments with simple obstacle configurations. However, certain configurations of obstacles in the environment prevented the robot from reaching the target with purely reactive obstacle avoidance. To address this complexity, a self-organized process of mental rehearsals of movements was modeled, inspired by human and animal experiments on reaching, to generate plans for movement execution using DIRECT-ROAD in complex environments. These mental rehearsals or plans are self-generated by using the Fuzzy ARTMAP algorithm to retrieve multiple solutions for reaching each target while accounting for all the obstacles in its environment. The key aspects of the proposed novel controller were illustrated first using simple examples. Experiments were then performed on real robot platforms to demonstrate successful obstacle avoidance during reaching tasks in real-world environments. Copyright © 2012 Elsevier Ltd. All rights reserved.

Stuttering Thoughts: Negative Self-Referent Thinking Is Less Sensitive to Aversive Outcomes in People with Higher Levels of Depressive Symptoms

PubMed Central

Iijima, Yudai; Takano, Keisuke; Boddez, Yannick; Raes, Filip; Tanno, Yoshihiko

2017-01-01

Learning theories of depression have proposed that depressive cognitions, such as negative thoughts with reference to oneself, can develop through a reinforcement learning mechanism. This negative self-reference is considered to be positively reinforced by rewarding experiences such as genuine support from others after negative self-disclosure, and negatively reinforced by avoidance of potential aversive situations. The learning account additionally predicts that negative self-reference would be maintained by an inability to adjust one’s behavior when negative self-reference no longer leads to such reward. To test this prediction, we designed an adapted version of the reversal-learning task. In this task, participants were reinforced to choose and engage in either negative or positive self-reference by probabilistic economic reward and punishment. Although participants were initially trained to choose negative self-reference, the stimulus-reward contingencies were reversed to prompt a shift toward positive self-reference (Study 1) and a further shift toward negative self-reference (Study 2). Model-based computational analyses showed that depressive symptoms were associated with a low learning rate of negative self-reference, indicating a high level of reward expectancy for negative self-reference even after the contingency reversal. Furthermore, the difficulty in updating outcome predictions of negative self-reference was significantly associated with the extent to which one possesses negative self-images. These results suggest that difficulty in adjusting action-outcome estimates for negative self-reference increases the chance to be faced with negative aspects of self, which may result in depressive symptoms. PMID:28824511

Stuttering Thoughts: Negative Self-Referent Thinking Is Less Sensitive to Aversive Outcomes in People with Higher Levels of Depressive Symptoms.

PubMed

Iijima, Yudai; Takano, Keisuke; Boddez, Yannick; Raes, Filip; Tanno, Yoshihiko

2017-01-01

Learning theories of depression have proposed that depressive cognitions, such as negative thoughts with reference to oneself, can develop through a reinforcement learning mechanism. This negative self-reference is considered to be positively reinforced by rewarding experiences such as genuine support from others after negative self-disclosure, and negatively reinforced by avoidance of potential aversive situations. The learning account additionally predicts that negative self-reference would be maintained by an inability to adjust one's behavior when negative self-reference no longer leads to such reward. To test this prediction, we designed an adapted version of the reversal-learning task. In this task, participants were reinforced to choose and engage in either negative or positive self-reference by probabilistic economic reward and punishment. Although participants were initially trained to choose negative self-reference, the stimulus-reward contingencies were reversed to prompt a shift toward positive self-reference (Study 1) and a further shift toward negative self-reference (Study 2). Model-based computational analyses showed that depressive symptoms were associated with a low learning rate of negative self-reference, indicating a high level of reward expectancy for negative self-reference even after the contingency reversal. Furthermore, the difficulty in updating outcome predictions of negative self-reference was significantly associated with the extent to which one possesses negative self-images. These results suggest that difficulty in adjusting action-outcome estimates for negative self-reference increases the chance to be faced with negative aspects of self, which may result in depressive symptoms.

Determinants and outcomes of motivation in health professions education: a systematic review based on self-determination theory.

PubMed

Orsini, Cesar; Binnie, Vivian I; Wilson, Sarah L

2016-01-01

This study aimed at conducting a systematic review in health professions education of determinants, mediators and outcomes of students' motivation to engage in academic activities based on the self-determination theory's perspective. A search was conducted across databases (MEDLINE, CINHAL, EMBASE, PsycINFO, and ERIC databases), hand-search of relevant journals, grey literature, and published research profile of key authors. Quantitative and qualitative studies were included if they reported research in health professions education focused on determinants, mediators, and/or outcomes of motivation from the self-determination and if meeting the quality criteria. A total of 17 studies met the inclusion and quality criteria. Articles retrieved came from diverse locations and mainly from medical education and to a lesser extent from psychology and dental education. Intrapersonal (gender and personality traits) and interpersonal determinants (academic conditions and lifestyle, qualitative method of selection, feedback, and an autonomy supportive learning climate) have been reported to have a positive influence on students' motivation to engage in academic activities. No studies were found that tested mediation effects between determinants and students' motivation. In turn, students' self-determined motivation has been found to be positively associated with different cognitive, affective, and behavioural outcomes. This study has found that generally, motivation could be enhanced by changes in the educational environment and by an early detection of students' characteristics. Doing so may support future health practitioners' self-determined motivation and positively influence how they process information and their emotions and how they approach their learning activities.

Determinants and outcomes of motivation in health professions education: a systematic review based on self-determination theory

PubMed Central

2016-01-01

Purpose: This study aimed at conducting a systematic review in health professions education of determinants, mediators and outcomes of students’ motivation to engage in academic activities based on the self-determination theory’s perspective. Methods: A search was conducted across databases (MEDLINE, CINHAL, EMBASE, PsycINFO, and ERIC databases), hand-search of relevant journals, grey literature, and published research profile of key authors. Quantitative and qualitative studies were included if they reported research in health professions education focused on determinants, mediators, and/or outcomes of motivation from the self-determination and if meeting the quality criteria. Results: A total of 17 studies met the inclusion and quality criteria. Articles retrieved came from diverse locations and mainly from medical education and to a lesser extent from psychology and dental education. Intrapersonal (gender and personality traits) and interpersonal determinants (academic conditions and lifestyle, qualitative method of selection, feedback, and an autonomy supportive learning climate) have been reported to have a positive influence on students’ motivation to engage in academic activities. No studies were found that tested mediation effects between determinants and students’ motivation. In turn, students’ self-determined motivation has been found to be positively associated with different cognitive, affective, and behavioural outcomes. Conclusion: This study has found that generally, motivation could be enhanced by changes in the educational environment and by an early detection of students’ characteristics. Doing so may support future health practitioners’ self-determined motivation and positively influence how they process information and their emotions and how they approach their learning activities. PMID:27134006

The Process of Self-Cultivation and the Mandala Model of the Self.

PubMed

Wu, Meiyao

2017-01-01

In his Mandala model of the self, Taiwanese scholar Kwang-Kuo Hwang sees each human being as a combination or intersection of private individual and social person, and also of knowledge and action. To further elaborate the model-with a particular emphasis on teaching/learning, the development of the ideal self and spiritual transcendence-this article will explore the psychological process of self-cultivation in the light of traditional Confucian thinking, which means keeping a balance between inner/outer and self/other. The Neo-Confucian thinker Zhongsha Mou's theories of "the awareness of unexpected developments" and his meditation/cognitive thinking opposition will also be discussed. The analyzed sources will include the traditional Confucian classics (the Four Books and Liji, or Classic of Rites ) and especially the " Lessons for Learning ( Xue-Ji )" in the Classic of Rites ( Liji ), along with the relevant textual research. Based upon a cultural-semantic analysis of these classics as well as of Hwang's central ideas, the author attempts to further conceptualize the process of cultivating the ideal self in Confucian education.

A personal connection: Promoting positive attitudes towards teaching and learning.

PubMed

Lujan, Heidi L; DiCarlo, Stephen E

2017-09-01

Students' attitudes towards teaching and learning must be addressed with the same seriousness and effort as we address content. Establishing a personal connection and addressing our students' basic psychological needs will produce positive attitudes towards teaching and learning and develop life-long learners. It will also promote constructive student-teacher relationships that have a profound influence on our students' approach towards school. To begin this process, consider the major tenets of the Self-Determination Theory. The Self-Determination Theory of human motivation focuses on our students' innate psychological needs and the degree to which an individual's behavior is self-motivated and self-determined. Faculty can satisfy the innate psychological needs by addressing our students' desire for relatedness, competence and autonomy. Relatedness refers to our students' need to feel connected to others, to be a member of a group, to have a sense of communion and to develop close relationships with others. Competence is believing our students can succeed , challenging them to do so and imparting that belief in them. Autonomy involves considering the perspectives of the student and providing relevant information and opportunities for student choice and initiating and regulating their own behaviors. Establishing a personal connection and addressing our students' basic psychological needs will improve our teaching, inspire and engage our students and promote positive attitudes towards teaching and learning while reducing competition and increasing compassion. These are important goals because unless students are inspired and motivated and have positive attitudes towards teaching and learning our efforts will fail to meet their full potential. Anat Sci Educ 10: 503-507. © 2017 American Association of Anatomists. © 2017 American Association of Anatomists.

Challenging Students' Intuitions—the Influence of a Tangible Model of Virus Assembly on Students' Conceptual Reasoning About the Process of Self-Assembly

NASA Astrophysics Data System (ADS)

Larsson, Caroline; Tibell, Lena A. E.

2015-10-01

A well-ordered biological complex can be formed by the random motion of its components, i.e. self-assemble. This is a concept that incorporates issues that may contradict students' everyday experiences and intuitions. In previous studies, we have shown that a tangible model of virus self-assembly, used in a group exercise, helps students to grasp the process of self-assembly and in particular the facet "random molecular collision". The present study investigates how and why the model and the group exercise facilitate students' learning of this particular facet. The data analysed consist of audio recordings of six group exercises ( n = 35 university students) and individual semi-structured interviews ( n = 5 university students). The analysis is based on constructivist perspectives of learning, a combination of conceptual change theory and learning with external representations. Qualitative analysis indicates that perceived counterintuitive aspects of the process created a cognitive conflict within learners. The tangible model used in the group exercises facilitated a conceptual change in their understanding of the process. In particular, the tangible model appeared to provide cues and possible explanations and functioned as an "eye-opener" and a "thinking tool". Lastly, the results show signs of emotions also being important elements for successful accommodation.

A Review of Self-regulated Learning: Six Models and Four Directions for Research

PubMed Central

Panadero, Ernesto

2017-01-01

Self-regulated learning (SRL) includes the cognitive, metacognitive, behavioral, motivational, and emotional/affective aspects of learning. It is, therefore, an extraordinary umbrella under which a considerable number of variables that influence learning (e.g., self-efficacy, volition, cognitive strategies) are studied within a comprehensive and holistic approach. For that reason, SRL has become one of the most important areas of research within educational psychology. In this paper, six models of SRL are analyzed and compared; that is, Zimmerman; Boekaerts; Winne and Hadwin; Pintrich; Efklides; and Hadwin, Järvelä and Miller. First, each model is explored in detail in the following aspects: (a) history and development, (b) description of the model (including the model figures), (c) empirical support, and (d) instruments constructed based on the model. Then, the models are compared in a number of aspects: (a) citations, (b) phases and subprocesses, (c) how they conceptualize (meta)cognition, motivation and emotion, (d) top–down/bottom–up, (e) automaticity, and (f) context. In the discussion, the empirical evidence from the existing SRL meta-analyses is examined and implications for education are extracted. Further, four future lines of research are proposed. The review reaches two main conclusions. First, the SRL models form an integrative and coherent framework from which to conduct research and on which students can be taught to be more strategic and successful. Second, based on the available meta-analytic evidence, there are differential effects of SRL models in light of differences in students’ developmental stages or educational levels. Thus, scholars and teachers need to start applying these differential effects of the SRL models and theories to enhance students’ learning and SRL skills. PMID:28503157

A Review of Self-regulated Learning: Six Models and Four Directions for Research.

PubMed

Panadero, Ernesto

2017-01-01

Self-regulated learning (SRL) includes the cognitive, metacognitive, behavioral, motivational, and emotional/affective aspects of learning. It is, therefore, an extraordinary umbrella under which a considerable number of variables that influence learning (e.g., self-efficacy, volition, cognitive strategies) are studied within a comprehensive and holistic approach. For that reason, SRL has become one of the most important areas of research within educational psychology. In this paper, six models of SRL are analyzed and compared; that is, Zimmerman; Boekaerts; Winne and Hadwin; Pintrich; Efklides; and Hadwin, Järvelä and Miller. First, each model is explored in detail in the following aspects: (a) history and development, (b) description of the model (including the model figures), (c) empirical support, and (d) instruments constructed based on the model. Then, the models are compared in a number of aspects: (a) citations, (b) phases and subprocesses, (c) how they conceptualize (meta)cognition, motivation and emotion, (d) top-down/bottom-up, (e) automaticity, and (f) context. In the discussion, the empirical evidence from the existing SRL meta-analyses is examined and implications for education are extracted. Further, four future lines of research are proposed. The review reaches two main conclusions. First, the SRL models form an integrative and coherent framework from which to conduct research and on which students can be taught to be more strategic and successful. Second, based on the available meta-analytic evidence, there are differential effects of SRL models in light of differences in students' developmental stages or educational levels. Thus, scholars and teachers need to start applying these differential effects of the SRL models and theories to enhance students' learning and SRL skills.

A Questionnaire-Based Validation of Multidimensional Models of Self-Regulated Learning Strategies

ERIC Educational Resources Information Center

Teng, Lin Sophie; Zhang, Lawrence Jun

2016-01-01

This study aimed to validate a newly-developed instrument, The Writing Strategies for Self-Regulated Learning (SRL) Questionnaire, with respect to its multifaceted structure of SRL strategies in English as a foreign language (EFL) writing. A total of 790 undergraduate students from 6 universities in Northeast China volunteered to be participants.…

Self-Regulation and Approaches to Learning in English Composition Writing

ERIC Educational Resources Information Center

Magno, Carlo

2009-01-01

It is hypothesized in the present study that when learners are tasked to write a composition in a second language (such as English language for Filipinos), they use specific approaches to learning and eventually undergo self-regulatory processes. The present study tested a model showing the shift from process to outcome in writing (Zimmerman &…

Why Competition May Discourage Students from Learning. A Behavioral Economic Analysis.

ERIC Educational Resources Information Center

Wang, X. Henry; Yang, Bill Z.

2003-01-01

Combines the concept of self-worth in sociology and educational psychology with economic modeling to analyze the influence of competition on student learning. Finds, for example, that students prone to negative self-worth are motivated not to study hard in courses involving strong competition, thereby adopting a strategy of winning by not losing.…

Predictive Relationships between Secondary School Students' Human Values, Motivational Beliefs, and Self-Regulated Learning Strategies

ERIC Educational Resources Information Center

Tanriseven, Isil; Dilmac, Bulent

2013-01-01

The purpose of this study was to investigate the exploratory and predictive relationships between secondary school students' human values and their motivational beliefs and self-regulated learning strategies and thus to test the relevant model was developed. A correlational filed study was used in this research. The sample of the research…

Investigating the Relationships among Students' Self-Efficacy Beliefs, Their Perceptions of Classroom Learning Environment, Gender, and Chemistry Achievement through Structural Equation Modeling

ERIC Educational Resources Information Center

Boz, Yezdan; Yerdelen-Damar, Sevda; Aydemir, Nurdane; Aydemir, Murat

2016-01-01

Background: Investigating factors contributing to chemistry achievement is important since it enables us to make more concrete instructional decisions related to improving students' chemistry achievement. Purpose: This study aimed to investigate how students' perceptions of learning environment, self-efficacy and gender are related to chemistry…

Using Formative Assessment and Self-Regulated Learning to Help Developmental Mathematics Students Achieve: A Multi-Campus Program

ERIC Educational Resources Information Center

Hudesman, John; Crosby, Sara; Ziehmke, Niesha; Everson, Howard; Issac, Sharlene; Flugman, Bert; Zimmerman, Barry; Moylan, Adam

2014-01-01

The authors describe an Enhanced Formative Assessment and Self-Regulated Learning (EFA-SRL) program designed to improve the achievement of community college students enrolled in developmental mathematics courses. Their model includes the use of specially formatted quizzes designed to assess both the students' mathematics and metacognitive skill…

The Effect of Blog Use on Self-Regulatory Learning of Prospective German Language Teachers

ERIC Educational Resources Information Center

Seyhan Yucel, Mukadder

2013-01-01

The purpose of the study was to examine the effect of blog use on self-regulatory learning of prospective German language teachers. The study is semi-experimental. Pretest-posttest, experiment control model was used. Blog activities were conducted as extensive beyond classroom activities only for the experiment group. As the data collection tool…

Flipping the Classroom: Embedding Self-Regulated Learning Prompts in Videos

ERIC Educational Resources Information Center

Moos, Daniel C.; Bonde, Caitlin

2016-01-01

This study examined the effectiveness of embedding self-regulated learning (SRL) prompts in a video designed for the flipped class model. The sample included 32 undergraduate participants who were randomly assigned to one of two conditions: control (video) or experimental (video + SRL prompts). Prior knowledge was measured with a pre-test, SRL was…

L2 Motivation, Anxiety and Self-Efficacy: The Interrelationship of Individual Variables in the Secondary School Context

ERIC Educational Resources Information Center

Piniel, Katalin; Csizér, Kata

2013-01-01

Our study describes the relationship of second language learning motivation, self-efficacy, and anxiety; that is, how motivation, cognition, and affect might interact during the process of second language learning. Questionnaire data were collected from 236 Hungarian students studying at various secondary schools. Structural equation modeling was…

Does the Model Matter? Comparing Video Self-Modeling and Video Adult Modeling for Task Acquisition and Maintenance by Adolescents with Autism Spectrum Disorders

ERIC Educational Resources Information Center

Cihak, David F.; Schrader, Linda

2009-01-01

The purpose of this study was to compare the effectiveness and efficiency of learning and maintaining vocational chain tasks using video self-modeling and video adult modeling instruction. Four adolescents with autism spectrum disorders were taught vocational and prevocational skills. Although both video modeling conditions were effective for…

Adults' Self-Directed Learning of an Artificial Lexicon: The Dynamics of Neighborhood Reorganization

ERIC Educational Resources Information Center

Bardhan, Neil Prodeep

2010-01-01

Artificial lexicons have previously been used to examine the time course of the learning and recognition of spoken words, the role of segment type in word learning, and the integration of context during spoken word recognition. However, in all of these studies the experimenter determined the frequency and order of the words to be learned. In three…

Processes of Self-Regulated Learning in Music Theory in Elementary Music Schools in Slovenia

ERIC Educational Resources Information Center

Fritz, Barbara Smolej; Peklaj, Cirila

2011-01-01

The aim of our study was determine how students regulate their learning in music theory (MT). The research is based on the socio-cognitive theory of learning. The aim of our study was twofold: first, to design the instruments for measuring (meta)cognitive and affective-motivational processes in learning MT, and, second, to examine the relationship…