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Cara A. Singh; Krista R. Muis – Educational Psychologist, 2024
The purpose of this paper is to present an integrated theoretical model of socially shared regulation of learning (SSRL), which is an elaboration of Efklides' Motivation and Affect in Self-Regulated Learning model that situates metacognition, affect, and motivation at the socially shared level. Building from existing theoretical and empirical…
Descriptors: Learning Strategies, Metacognition, Learning Motivation, Group Behavior
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Bayounes, Walid; Saâdi, Ines Bayoudh; Kinsuk – Smart Learning Environments, 2022
The goal of ITS is to support learning content, activities, and resources, adapted to the specific needs of the individual learner and influenced by learner's motivation. One of the major challenges to the mainstream adoption of adaptive learning is the complexity and time involved in guiding the learning process. To tackle these problems, this…
Descriptors: Learning Processes, Learning Motivation, Individualized Instruction, Models
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Maurer, Trent W.; Cabay, Emily – Teaching & Learning Inquiry, 2023
We replicated and extended Maurer and Shipp's (2021) intervention to teach students the successive relearning study strategy and encourage its use in preparation for course exams. This mixed-methods project was conducted in partnership between the faculty member teaching the course and an undergraduate student enrolled in the course. Results were…
Descriptors: Learning Strategies, Study Skills, Learning Motivation, Self Management
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Song, Xin; Yang, Xiantong; Wang, Qiang; Su, Yu; Hong, Jon-Chao – Psychology in the Schools, 2022
Deep learning has gradually appeared in the field of teacher education research and is considered as an effective way to promote teacher professional development. To explore the relationship between teacher gender and deep learning strategies, as well as the mediating role of teachers' deep learning motivation, we conducted a questionnaire survey…
Descriptors: Sex, Gender Differences, Learning Motivation, Learning Strategies
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Mark Abdelshiheed; Tiffany Barnes; Min Chi – International Journal of Artificial Intelligence in Education, 2024
Two metacognitive knowledge types in deductive domains are procedural and conditional. This work presents a preliminary study on the impact of metacognitive knowledge and motivation on transfer across two Intelligent Tutoring Systems (ITSs), then two experiments on metacognitive knowledge instruction. Throughout this work, we trained students on a…
Descriptors: Metacognition, Intelligent Tutoring Systems, Cognitive Processes, Learning Strategies
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Hallinger, Philip – Review of Educational Research, 2023
The goals of this bibliometric review of the Review of Educational Research were to gain insights into the evolution of the journal and identify its key contributions to the education literature. Bibliographic data associated with the full set of 3,022 review articles published in RER from 1931 through 2021 were exported from Scopus for…
Descriptors: Periodicals, Educational Research, Bibliometrics, Instruction
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Amir Reza Rahimi – Smart Learning Environments, 2024
MOOC attrition rates have become a research hotspot in open and online education, requiring researchers to pinpoint psychological, technological, pedagogical, and technical factors that could mitigate this problem. For this aim, the current study applied a tri-phenomenon approach to explore language learners' perceptions of support coupled with…
Descriptors: Foreign Countries, English Language Learners, MOOCs, Student Attrition
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Jody Langdon; Anna Brady; Diana Botnaru – International Journal of Kinesiology in Higher Education, 2024
The purpose of this study was to examine the influence of basic psychological need satisfaction and motivation on students' use of deep and surface learning strategies across undergraduate kinesiology courses. This study used a survey consisting of demographic questions and three self-report questionnaires assessing basic need satisfaction,…
Descriptors: Psychological Needs, Need Gratification, Student Motivation, Learning Strategies
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Conrad Borchers; Jeroen Ooge; Cindy Peng; Vincent Aleven – Grantee Submission, 2025
Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Learner Controlled Instruction, Learning Analytics
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Paul Evans; Maarten Vansteenkiste; Philip Parker; Andrew Kingsford-Smith; Sijing Zhou – Educational Psychology Review, 2024
Although cognitive load theory research has studied factors associated with motivation, these literatures have primarily been developed in isolation from each other. In this contribution, we aimed to advance both fields by examining the effects of instructional strategies on learners' experience of cognitive load, motivation, engagement, and…
Descriptors: Cognitive Processes, Difficulty Level, Learning Motivation, Self Determination
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Kaur, Amanpreet; Chahal, Kuljit Kaur – Journal of Science Education and Technology, 2023
Computational thinking (CT) is an essential skill required for every individual in the digital era to become creative problem solvers. The purpose of this research is to investigate the relationships between computational thinking skills, the Big Five personality factors, and learning motivation using structural equation modeling (SEM). The…
Descriptors: Personality, Learning Motivation, Computation, Thinking Skills
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Bea Mertens; Sven De Maeyer; Vincent Donche – European Journal of Psychology of Education, 2024
Research on learning strategies and learning motivation in different educational contexts has provided valuable insights, but in this field, low-educated adults remain an understudied population. This study addresses this gap by means of a person-oriented approach and seeks to investigate whether quantitatively and qualitatively different learner…
Descriptors: Profiles, Student Characteristics, Educational Attainment, Adults
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M. Jamal Bakali Tahiri; And Athanasios Mouratidis – European Journal of Education, 2024
Within the framework of Self-Determination Theory (SDT), basic psychological need satisfaction predicts quality of motivation which in turn predicts study efforts. Although studies focusing on interpersonal differences have repeatedly shown this sequence of relations, only a few have examined its stability at the intra-personal level. In this…
Descriptors: Self Determination, Learning Strategies, Psychological Needs, Prediction
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Çetin, Baris – International Online Journal of Education and Teaching, 2022
In this study, it was aimed to determine the level of the relationship between university students' intrinsic motivation scores towards self-regulated learning, their intrinsic motivation scores towards university, and their academic achievements. The cross-section scanning model was used in the study. The participants of the study consisted of 30…
Descriptors: Student Motivation, Self Control, Academic Achievement, Undergraduate Students
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Crippen, Kent J.; Imperial, Lorelie; Bolch, Charlotte A.; Payne, Corey A. – International Journal of Science and Mathematics Education, 2023
Use of modeling as a learning strategy in introductory science courses could serve to support the persistence of all students, including those who identify with a traditionally underrepresented ethnic minority (URM). If students find inherent value in working on modeling-type problems then this authentic practice would aid in transforming personal…
Descriptors: Undergraduate Students, Engineering Education, Learning Strategies, Learning Motivation
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