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Mohammed Saqr; Sonsoles López-Pernas – British Journal of Educational Technology, 2024
Complex dynamic systems offer a rich platform for understanding the individual or the person-specific mechanisms. Yet, in learning analytics research and education at large, a complex dynamic system has rarely been framed, developed, or used to understand the individual student where the learning process takes place. Individual (or…
Descriptors: Individual Instruction, Learning Strategies, Learner Controlled Instruction, Instructional Systems
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Noprival Noprival; Alfian Alfian; Iswandany Kaslan; Dion Ginanto – International Journal of Multilingualism, 2025
Despite the existence of many studies on language learning strategies (LLS), little scholarly work reports the LLS used by multilingual foreign language learners. To fill this empirical gap, the present qualitative case study investigates how polyglots employed their strategies over their path of learning multiple foreign languages. We collected…
Descriptors: Multilingualism, English (Second Language), Second Language Learning, Learning Strategies
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Jihyun Rho; Martina A. Rau; Barry Van Veen – Journal of Engineering Education, 2025
Background: Visual representations are pervasive in electrical engineering instruction in various instructional settings. Further, electrical engineering instruction often requires students to extend simple visual representations to learn about more complex visualization in subsequent instruction. Yet, students often struggle to understand…
Descriptors: Engineering Education, Undergraduate Students, Learning Processes, Learning Strategies
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Yunxin Luo – Studies in Higher Education, 2024
International students are fundamental actors in the university's knowledge management process, but little is known about their knowledge activities. The purpose of this study is to understand how the knowledge sharing process in higher education unfolds in the context of international students' perspectives. Based on a qualitative approach, data…
Descriptors: College Students, Foreign Students, Knowledge Management, Learning Strategies
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Haina Wu; Weijiang Gong; Guangyu Yi – Science & Education, 2024
Physical education in colleges plays an increasingly important role in cultivating high-quality innovative talent. The main factors that affect college students' approaches to learning physics remain unknown. This study examined the relationships among college engineering students' epistemic views of physics, conceptions of learning physics, and…
Descriptors: Epistemology, Physics, Engineering Education, Undergraduate Students
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Chunyun Zhang; Hebo Ma; Chaoran Cui; Yumo Yao; Weiran Xu; Yunfeng Zhang; Yuling Ma – IEEE Transactions on Learning Technologies, 2024
Knowledge tracing (KT) aims to trace students' evolving knowledge states based on their learning sequences. Recently, some deep learning based models have been proposed to incorporate the historical information of individuals to trace students' knowledge states and achieve encouraging progress. However, these works ignore the collaborative…
Descriptors: Supervision, Knowledge Level, Learning Processes, Cooperative Learning
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Zi Juan Cheng; Chun Xiao Ma; Runke Huang; Ying Bai – Early Childhood Education Journal, 2025
In recent years, the concept of "deeper learning" has generated great interest in the field of preschool education in China. However, deep learning in the preschool stage is different from that in school education, as it requires explaining content characteristics, developing observational tools to identify deep learning, and exploring…
Descriptors: Preschool Children, Preschool Education, Learning Processes, Play
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Ia Williamsson; Linda Askenäs – Learning Organization, 2024
Purpose: This study aims to understand how practitioners use their insights in software development models to share experiences within and between organizations. Design/methodology/approach: This is a qualitative study of practitioners in software development projects, in large-, medium- or small-size businesses. It analyzes interview material in…
Descriptors: Organizational Learning, Computer Software, Business, Reflection
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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
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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
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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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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
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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
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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
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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
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