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Yuqin Yang; Xueqi Feng; Gaoxia Zhu; Kui Xie – Journal of Computer Assisted Learning, 2024
Background: Undergraduates' collective epistemic agency is critical for their productive collaborative inquiry and knowledge building (KB). However, fostering undergraduates' collective epistemic agency is challenging. Studies have demonstrated the potential of computer-supported collaborative inquiry approaches, such as KB--the focus of this…
Descriptors: Undergraduate Students, Cooperative Learning, Epistemology, Inquiry
Fiorella, Logan – Educational Psychology Review, 2023
How do learners make sense of what they are learning? In this article, I present a new framework of sense-making based on research investigating the benefits and boundaries of generative learning activities (GLAs). The generative sense-making framework distinguishes among three primary sense-making modes--explaining, visualizing, and…
Descriptors: Student Attitudes, Learning Processes, Learning Strategies, Learning Activities
Fan, Yizhou; Tan, Yuanru; Rakovic, Mladen; Wang, Yeyu; Cai, Zhiqiang; Shaffer, David Williamson; Gaševic, Dragan – Journal of Computer Assisted Learning, 2023
Background: Select and enact appropriate learning tactics that advance learning has been considered a critical set of skills to successfully complete highly flexible online courses, such as Massive open online courses (MOOCs). However, limited by analytic methods that have been used in the past, such as frequency distribution, sequence mining and…
Descriptors: MOOCs, Students, Learning Processes, Learning Strategies
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
Megan N. Imundo; Rui Ling Rachel Sanchez; Bianca Gonzalez; Rebecca M. Adler; Elizabeth Ligon Bjork – Applied Cognitive Psychology, 2025
The COVID-19 pandemic produced a unique opportunity to examine undergraduate students' notetaking practices for online courses. In this large survey study (n = 584), we examined how students' notetaking changed from before to during emergency online instruction and how students used their notes during this time. Our findings suggest that students…
Descriptors: COVID-19, Pandemics, Notetaking, Online Courses
Ying-Lien Lin; Wei-Tsong Wang; Zhi-Lun Lai – Education and Information Technologies, 2025
Although some studies have examined the effects of self-regulated learning (SRL) strategies on learning effectiveness, inconsistent results have been reported. Additionally, studies that adopt the perspective of SRL to evaluate the effect of metacognitive skills on students' actual learning effectiveness in digital game-based learning (DGBL)…
Descriptors: Prior Learning, Metacognition, Game Based Learning, Learning Strategies
Leonardo Silva; António Mendes; Anabela Gomes; Gabriel Fortes – ACM Transactions on Computing Education, 2024
Self-regulation of learning (SRL) is an essential ability for academic success in multiple educational contexts, including programming education. However, understanding how students regulate themselves during programming learning is still limited. This exploratory research aimed to investigate the regulatory strategies externalized by 51 students…
Descriptors: Learning Strategies, Programming, Self Management, Introductory Courses
S. S. Prakash; N. Muthuraman – Discover Education, 2024
Introduction: The learning approach of undergraduate medical students can be influenced by motivations toward learning medicine as well as perceived outcomes such as their specialty preference in the future. In this study, we analyze the relationships between learning approach, motivation to study medicine, and factors related to their specialty…
Descriptors: Foreign Countries, Undergraduate Students, Medical Students, Student Motivation
Daryn A. Dever; Megan D. Wiedbusch; Sarah M. Romero; Roger Azevedo – British Journal of Educational Technology, 2024
Intelligent tutoring systems (ITSs) incorporate pedagogical agents (PAs) to scaffold learners' self-regulated learning (SRL) via prompts and feedback to promote learners' monitoring and regulation of their cognitive, affective, metacognitive and motivational processes to achieve their (sub)goals. This study examines PAs' effectiveness in…
Descriptors: Intelligent Tutoring Systems, Scaffolding (Teaching Technique), Independent Study, Prompting
Jess Wei Chin Tan; Horn Mun Cheah; Hian Chye Koh – Cogent Education, 2024
The effects of the direct and indirect relationships of personality traits on academic performance are shared in this paper. These complex relationships are examined using Structural Equation Modelling (SEM) with reference to the modified Biggs' 3P model. The major findings of the effects of personality traits on academic performance are (1) the…
Descriptors: Personality Traits, Academic Achievement, College Students, Correlation
Michael P. A. Murphy; Andrea Phillipson; Karalyn E. McRae; Andrew B. Leger – Learning Environments Research, 2024
"Active learning classrooms" are purpose-built learning spaces designed to facilitate active learning strategies. While sometimes constructed as new rooms, active learning classrooms may also be retrofit from existing learning spaces. The ongoing evaluation of active learning classrooms helps to generate new research insights,…
Descriptors: Active Learning, Teaching Methods, Faculty Development, Teacher Surveys
Lucinda Powell – Psychology Teaching Review, 2024
Our school career culminates in a set of exam results, but if students want to do well, attending lessons is not enough: the implicit expectation is that all students will reinforce learning independently outside of the classroom. Really effective learners employ effective independent study techniques, but when, how and where do they learn to do…
Descriptors: Study Skills, Independent Study, Skill Development, Metacognition
Joseph Nanabanyin Daniel – ProQuest LLC, 2023
The purpose of this qualitative descriptive study was to explore how learners describe what factors lead learners to abandon a learning strategy and adopt another learning strategy and how the new learning strategy differs from previously learned and implemented learning strategies to reduce the extraneous cognitive load on a single science,…
Descriptors: Learning Strategies, STEM Education, Cognitive Ability, College Freshmen
Msafiri Mgambi Msambwa; Zhang Wen; Kangwa Daniel – European Journal of Education, 2025
Artificial intelligence (AI) has extensively developed, impacting different sectors of society, including higher education, and has attracted the attention of various educational stakeholders, leading to a growing number of research on its integration into education. Hence, this systematic literature review examines the impact of integrating AI…
Descriptors: Influence of Technology, Technology Uses in Education, Artificial Intelligence, Cooperative Learning
Élisabeth Bélanger; Lorie-Marlène Brault Foisy; Steve Masson – International Journal of Research & Method in Education, 2025
The main objective of this methodological article is to discuss the contribution of response times as a tool in education research. The use of response times in research is largely a legacy of the work carried out in cognitive psychology, which has made it possible to describe the cognitive processes involved in information processing. In…
Descriptors: Educational Research, Reaction Time, Cognitive Processes, Research Methodology

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