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Pérez-González, Juan-Carlos; Filella, Gemma; Soldevila, Anna; Faiad, Yasmine; Sanchez-Ruiz, Maria-Jose – Metacognition and Learning, 2022
The study investigated the joint contribution of the self-regulated learning (SRL) and individual differences approaches to the prediction of university students' grade point average (GPA) obtained at three separate time points throughout their degree (3 years). We assessed cognitive (i.e., previous academic performance, cognitive ability, and…
Descriptors: Learning Strategies, Individual Differences, Academic Achievement, Grade Prediction
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Walck-Shannon, Elise M.; Rowell, Shaina F.; Frey, Regina F. – CBE - Life Sciences Education, 2021
Students' study sessions outside class are important learning opportunities in college courses. However, we often depend on students to study effectively without explicit instruction. In this study, we described students' self-reported study habits and related those habits to their performance on exams. Notably, in these analyses, we controlled…
Descriptors: Study Habits, Academic Achievement, College Students, Learning Strategies
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Chen, Patricia; Ong, Desmond C.; Ng, Jessica C.; Coppola, Brian P. – AERA Open, 2021
Self-regulated learners strategically manage physical, technological, online, and social resources for learning--by selecting resources that could be useful, reflecting on how useful these resources have been, and adjusting resource use accordingly. We propose a model that conceptualizes resource management as learners' intentional,…
Descriptors: Grade Prediction, Self Control, College Students, Organic Chemistry
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Manuel Bächtold; Jacqueline Papet; Dominique Barbe Asensio; André Mas; Sandra Borne; Appolinaire Ngoua Ondo – Studies in Higher Education, 2025
This study calls for a broadening of the perspective on academic success. While passing exams is an essential objective of higher education, it should not overshadow another important objective which is the development of students' skills, such as becoming curious, autonomous and reflective in the learning process. This study used Academic…
Descriptors: Grade Prediction, Academic Achievement, Testing, Learning Strategies
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Chango, Wilson; Cerezo, Rebeca; Sanchez-Santillan, Miguel; Azevedo, Roger; Romero, Cristóbal – Journal of Computing in Higher Education, 2021
The aim of this study was to predict university students' learning performance using different sources of performance and multimodal data from an Intelligent Tutoring System. We collected and preprocessed data from 40 students from different multimodal sources: learning strategies from system logs, emotions from videos of facial expressions,…
Descriptors: Grade Prediction, Intelligent Tutoring Systems, College Students, Data Use
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Loginova, Ekaterina; Benoit, Dries F. – International Educational Data Mining Society, 2021
Predicting academic performance using trace data from learning management systems is a primary research topic in educational data mining. An important application is the identification of students at risk of failing the course or dropping out. However, most approaches utilise past grades, which are not always available and capture little of the…
Descriptors: Navigation (Information Systems), Academic Achievement, Grade Prediction, Integrated Learning Systems
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Fokkens-Bruinsma, Marjon; Vermue, Carlien; Deinum, Jan-Folkert; van Rooij, Els – Assessment & Evaluation in Higher Education, 2021
A successful first year is of vital importance to academic achievement in higher education. How can we identify those students at risk at a very early stage, i.e. even before they have entered university? This study focuses on three pre-university factors, namely academic self-efficacy, self-regulated learning, in terms of autonomous motivation…
Descriptors: College Freshmen, Academic Achievement, Self Efficacy, Learning Strategies
Hartwig, Marissa K.; Malain, Eric D. – Grantee Submission, 2021
We examined students' naturalistic decisions about spacing their study in an undergraduate course (N=185) and whether self-selected spacing predicted course performance. Usage of two study tools -- an online textbook and quiz tool -- was recorded daily. We operationalized spacing as how often the tools were used and the timing of their use…
Descriptors: Study Skills, Learning Strategies, Study Habits, Undergraduate Students
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Buckelew, Susan P.; Byrd, Nikki; Key, Colin W.; Thornton, Jessica; Merwin, Michelle M. – Teaching of Psychology, 2013
This study assessed the relationships among the accuracy of grade predictions, actual grades, self-enhancement bias, and attributions about academic performance. As a group, students anticipated higher grades than were earned. Individual differences in self-enhancement bias were measured using the discrepancy between anticipated and attained…
Descriptors: Grades (Scholastic), Grade Prediction, Accuracy, Expectation
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Weinstein, Yana; McDermott, Kathleen B.; Roediger, Henry L., III – Journal of Experimental Psychology: Applied, 2010
Students are often encouraged to generate and answer their own questions on to-be-remembered material, because this interactive process is thought to enhance memory. But does this strategy actually work? In three experiments, all participants read the same passage, answered questions, and took a test to get accustomed to the materials in a…
Descriptors: Comprehension, Recall (Psychology), Learning Strategies, Questioning Techniques
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Freng, Scott; Webber, David; Blatter, Jamin; Wing, Ashley; Scott, Walter D. – Teaching of Psychology, 2011
Comprehension of statistics and research methods is crucial to understanding psychology as a science (APA, 2007). However, psychology majors sometimes approach methodology courses with derision or anxiety (Onwuegbuzie & Wilson, 2003; Rajecki, Appleby, Williams, Johnson, & Jeschke, 2005); consequently, students may postpone…
Descriptors: Majors (Students), Grade Point Average, Research Methodology, Academic Achievement
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Puzziferro, Maria – American Journal of Distance Education, 2008
This study was designed to examine performance as a function of grade and course satisfaction in online undergraduate level courses, specifically students' self-efficacy for online technologies and self-regulated learning strategies. This research included a sample (N = 815) of community college students enrolled in liberal arts online courses…
Descriptors: Self Efficacy, Online Courses, Learning Strategies, Program Effectiveness
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Watkins, David – Educational and Psychological Measurement, 1986
Learning processes, as measured by the Approaches to Studying Inventory, contributed to the prediction of freshman grades of 181 Australians. Other measures, such as college entrance examinations, locus of control, and student background characteristics, had less predictive ability. (GDC)
Descriptors: Academic Achievement, Cognitive Style, Cognitive Tests, College Entrance Examinations