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Ayuni Ratnayake; Aditi Bansal; Natalie Wong; Theluckshan Saseetharan; Sapolnach Prompiengchai; Amy Jenne; Jeneni Thiagavel; Aarthi Ashok – Journal of Microbiology & Biology Education, 2024
Self-regulated learning (SRL) is the process of utilizing effective strategies to acquire knowledge or skills and is influenced by motivation, metacognitive processing, and study-related behaviors. We hypothesized that by using survey tools that allow reflection on and refinement of students' study strategies, we could nurture metacognitive skill…
Descriptors: Undergraduate Students, Metacognition, Self Management, Learning
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Pallavi Nayyar; Betül Demirdögen; Scott E. Lewis – Chemistry Education Research and Practice, 2024
This qualitative study delves into the intricate landscape of general chemistry students' study strategy decision-making processes, examining the guiding factors that shape their choices. Past work in chemistry education has shown that students' study behaviors are dynamic in nature. Employing self-regulation theory, the study aims to provide a…
Descriptors: Chemistry, Science Instruction, Decision Making, Study Habits
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Biwer, Felicitas; de Bruin, Anique; Persky, Adam – Advances in Health Sciences Education, 2023
Recent research shows the importance to teach students the self-regulated use of effective learning strategies at university. However, the effects of such training programs on students' metacognitive knowledge, use of learning strategies, and academic performance in the longer term are unknown. In the present study, all first-year pharmacology…
Descriptors: Learning Strategies, Training, Study Habits, Student Behavior
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Kathleen Hefferon; Anna Levina – Journal of College Science Teaching, 2024
Metacognition is often described as the awareness and regulation of learning. It uses strategies which include monitoring one's own thinking, engaging in active planning and self-evaluating one's study habits. Bloom's taxonomy can be used as a metacognitive tool to guide students' study strategies and thus improve their academic performance by…
Descriptors: College Students, College Faculty, Microbiology, Plants (Botany)
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Serrano, Danya M.; Williams, Patrick S.; Ezzeddine, Laela; Sapon, Bryan – Learning: Research and Practice, 2022
Excessive social media use is a growing concern among educators. However, little research has examined the effects that problematic social media use has on student's academic procrastination and thereby on academic performance. Thus, this study explored the effects of social media use on students' academic procrastination and performance, and the…
Descriptors: Undergraduate Students, Social Media, Student Behavior, Time Management
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Dabas, Chitra S.; Muljana, Pauline S.; Luo, Tian – Technology, Knowledge and Learning, 2023
This study investigates factors that stimulate better academic performance for female students in learning quantitative topics, such as those involving mathematical-related tasks. We explore the differences in self-regulated learning (e.g., sources of motivation and execution of learning strategies), learning behaviors, and learning achievement of…
Descriptors: Females, Academic Achievement, Independent Study, Learning Strategies
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Follmer, D. Jake; Patchan, Melissa; Spitznogle, Robin – Journal of College Reading and Learning, 2022
Planning for and evaluating study behaviors are key regulatory skills that present considerable challenge for college learners. This study examined the utility of a targeted intervention tool intended to promote college learners' study time calibration. Through implementation of a weekly, reflective activity, we examined improvement in learners'…
Descriptors: Time Management, Study Habits, Metacognition, Intervention
Magee, Janie Park – ProQuest LLC, 2021
This study aimed to learn if a guided metacognitive exercise helped students analyze their past behavior in their preparation for assessments to influence their future practices and performance on assessments. Specifically, this study used a quasi-experimental, nonequivalent control group design which followed two groups of student participants…
Descriptors: Grades (Scholastic), Metacognition, Longitudinal Studies, Comparative Analysis
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van Halema, Nicolette; van Klaveren, Chris; Drachsler, Hendrik; Schmitz, Marcel; Cornelisz, Ilja – Frontline Learning Research, 2020
For decades, self-report instruments -- which rely heavily on students' perceptions and beliefs -- have been the dominant way of measuring motivation and strategy use. Event-based measures based on online trace data arguably has the potential to remove analytical restrictions of self-report measures. The purpose of this study is therefore to…
Descriptors: Independent Study, Learning Motivation, Learning Strategies, Student Behavior
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Metzger, Kelsey J.; Smith, Brittany A.; Brown, Ethan; Soneral, Paula A. G. – Journal of College Science Teaching, 2018
This study describes the development and implementation of an iterative diagnostic and intervention routine designed to elicit and quantitatively describe aspects of student metacognition, affect, and study habits in a first-year undergraduate biology course. The Student Metacognition, Affect, and Study Habits (SMASH) inventory is a…
Descriptors: Science Instruction, College Science, Undergraduate Study, Metacognition
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Sun, Jerry Chih-Yuan; Oh, Youn Joo; Seli, Helena; Jung, Matthew – Journal of At-Risk Issues, 2017
The purpose of this study was to explore the motivational characteristics and learning behaviors affecting at-risk college students. To explore how motivation and learning behaviors are related to academic achievement, the relationships between (a) self-efficacy; (b) learning and study strategy indicators; and (c) academic outcomes were assessed.…
Descriptors: At Risk Students, Outcomes of Education, College Freshmen, Prediction
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Yang, Yang; Bliss, Leonard B. – Educational Research and Evaluation, 2014
This study attempted to better understand the study behaviours of undergraduate students by categorizing students into distinctive typologies based on their self-reported study behaviours through an exploratory approach--Q factor analysis. A sample of 152 undergraduate students completed a survey instrument, the Study Behavior Inventory. The Q…
Descriptors: Factor Analysis, Academic Achievement, Predictor Variables, Study Habits
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Tay, Hui Yong – Educational Research for Policy and Practice, 2015
Some writers (Black and Wiliam in "Phi Delta Kappan" 80(2):139-148, 1998; Clark 2012; Panadero and Jonsson in "Educational Research Review" 9:129-144, 2013) have hypothesized a link between formative assessments (FA) and self-regulated learning (SRL). FA give students an opportunity to play an active role in their learning…
Descriptors: Formative Evaluation, Self Management, Interviews, Active Learning
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Susser, Jonathan A.; McCabe, Jennifer – Instructional Science: An International Journal of the Learning Sciences, 2013
Laboratory studies have demonstrated the long-term memory benefits of studying material in multiple distributed sessions as opposed to one massed session, given an identical amount of overall study time (i.e., the "spacing effect"). The current study goes beyond the laboratory to investigate whether undergraduates know about the advantage of…
Descriptors: Behavior Modification, Teaching Methods, Behavior Change, Undergraduate Students
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Haarala-Muhonen, Anne; Ruohoniemi, Mirja; Lindblom-Ylanne, Sari – Studies in Higher Education, 2011
This study explores factors affecting the study pace of law students during their first academic year. The participants comprised two student groups: those whose number of study credits were the lowest and highest. Altogether, 25 students (11 with a slow and 14 with a fast study pace) were interviewed. The factors affecting study pace mentioned by…
Descriptors: Foreign Countries, Law Students, Self Management, Learning Strategies
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