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Chen, Xin – Mathematics Education Research Group of Australasia, 2022
Previous studies have identified the relationship between cognitive activation and academic emotions. However, little is known about the underlying process behind this relationship. Considering that cognitive activation strategies may have different effects on students of different abilities, latent multi-group structural equation modelling was…
Descriptors: Cognitive Processes, Psychological Patterns, Learning Strategies, Academic Ability
Allison S. Liu; Kirk Vanacore; Erin Ottmar – Grantee Submission, 2022
Feedback in educational technologies can teach and engage students in math, but questions remain on how to present failure feedback that supports positive learning behaviors. We explore how error- and reward-based feedback influenced students' choices to replay completed problems in "From Here to There!," a math game-based educational…
Descriptors: Educational Technology, Technology Uses in Education, Feedback (Response), Failure
Akpinar, Nil-Jana; Ramdas, Aaditya; Acar, Umut – International Educational Data Mining Society, 2020
Educational software data promises unique insights into students' study behaviors and drivers of success. While much work has been dedicated to performance prediction in massive open online courses, it is unclear if the same methods can be applied to blended courses and a deeper understanding of student strategies is often missing. We use pattern…
Descriptors: Learning Strategies, Blended Learning, Learning Analytics, Student Behavior
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – International Educational Data Mining Society, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Joo, Young Ju; Joung, Sunyoung; Lim, Eugene; Kim, Hae Jin – International Association for Development of the Information Society, 2014
This study investigated whether college students' self-efficacy, level of learning strategy use, academic burnout, and school support predict course satisfaction and learning persistence. To this end, self-efficacy, level of learning strategy use, academic burnout, and school support were used as prediction variables, and course satisfaction and…
Descriptors: Foreign Countries, College Students, Self Efficacy, Learning Strategies
Conner, Timothy W., II; Aagaard, Lola; Skidmore, Ronald L. – Online Submission, 2011
Self-efficacy is a personal belief in one's ability to accomplish particular tasks. Academic self-efficacy relates to one's belief in ability to accomplish learning activities. A convenient cluster sample (n = 105) of undergraduate students at a regional university in the midsouth was administered a survey that measured student academic…
Descriptors: Self Efficacy, Undergraduate Study, Academic Achievement, Student Attitudes
Moliterni, Pasquale; De Stasio, Simona; Carboni, Mauro; Di Chiacchio, Carlo – Online Submission, 2010
This investigation is concerned with the examination of cognitive, motivational and emotional components of learning strategies and with the ways in which combinations of those dimensions, are associated with academic achievement. Recent models of self-regulated learning stress the importance of integrating both motivational and cognitive…
Descriptors: Student Motivation, Learning Strategies, Academic Achievement, Measures (Individuals)
Cromley, Jennifer; Azevedo, Roger – Metacognition and Learning, 2011
A number of authors have presented data that challenge the validity of self-report of strategy use or choice of strategy. We created a multiple-choice measure of students' strategy use based on the work of Kozminsky, E., and Kozminsky, L. (2001), and tested it with three samples as part of a series of studies testing the fit of the DIME model of…
Descriptors: Reading Comprehension, Validity, Reliability, Multiple Choice Tests
Kaur, Berinderjeet; Areepattamannil, Shaljan – Mathematics Education Research Group of Australasia, 2012
This study, drawing on data from the Programme for International Student Assessment (PISA) 2009, explored the influences of metacognitive and self-regulated learning strategies for reading on mathematical literacy of adolescents in Australia and Singapore. Ordinary least squares (OLS) regression analyses revealed the positive influences of…
Descriptors: Achievement Tests, International Assessment, Foreign Countries, Secondary School Students
Schunk, Dale H. – 1988
This paper discusses the role of perceived self-efficacy during self-regulated learning, the process whereby students' cognitions manifest themselves in behaviors systematically oriented toward the attainment of academic learning goals. The conceptual focus derives from A. Bandura's social cognitive learning theory. A model of cognitive skill…
Descriptors: Academic Achievement, Academic Aspiration, Cognitive Style, Learning Processes
Nagengast, Daniel L.; And Others – 1990
The effects of rule knowledge were investigated using Braille inkprint pairs. Both recognition and recall were studied in three groups of subjects: rule knowledge, rule discovery, and no rule. Two hypotheses were tested: (1) that the group exposed to the rule would score better than would a discovery group and a control group; and (2) that all…
Descriptors: Braille, Comparative Analysis, Cues, Discovery Learning
Werdenschlag, Lori B.; And Others – 1993
This study examined parental influence on children's cognitive skills by investigating characteristics of parent-child interaction in two tasks that required strategic activity and within which instruction in metacognition could occur. Subjects were 60 third and fourth grade girls and their mothers, who were divided into 2 experimental groups and…
Descriptors: Cognitive Development, Elementary Education, Elementary School Students, Females
Rodriguez-Brown, Flora V. – 1987
A study investigated the language transfer hypothesis in the specific area of second-language spelling. Data collected from 84 secondary school students learning Spanish as a second language show that in general, performance in English spelling is the best predictor of performance in Spanish spelling. Other variables included performance on a…
Descriptors: Context Clues, Decoding (Reading), Learning Strategies, Linguistic Theory
Orion, Nir; Hofstein, Avi – 1991
The main goal of this study was to obtain insight about the factors that influence students' ability to learn during a field trip, in order to improve the planning and execution of learning field trips. The study was conducted in the context of a 1-day geological field trip for high school students in Israel. Three domains were tested by…
Descriptors: Affective Behavior, Cognitive Development, Environmental Education, Experiential Learning
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