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Showing 1 to 15 of 58 results Save | Export
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Joyce Hwee Ling Koh; Ben Kei Daniel; Rui Ma; Anjin Hu; Patrick Mazzocco – Asia-Pacific Education Researcher, 2025
Competent online learners have dexterity as they can manoeuvre a wide range of learning technologies and online learning strategies to learn successfully. In this study, we approach university students' online learning competence as 'online learning dexterity' or an ability to manage different aspects of online learning with appropriate…
Descriptors: Electronic Learning, Distance Education, College Students, Learning Strategies
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Daniel F. O. Onah; Elaine L. L. Pang; Jane E. Sinclair – Journal of Computing in Higher Education, 2024
Despite the proliferation of massive open online courses (MOOCs) and the impressive levels of enrolment they attract, many participants do not complete these courses. High drop-out has been identified as one of the major problems with existing MOOC formats. Our work addresses two factors relating to non-completion. Firstly, MOOCs require a high…
Descriptors: MOOCs, Self Management, Independent Study, Educational Technology
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Ignacio Villagrán; Rocio Hernández; Gregory Schuit; Andrés Neyem; Javiera Fuentes; Loreto Larrondo; Elisa Margozzini; María T. Hurtado; Zoe Iriarte; Constanza Miranda; Julián Varas; Isabel Hilliger – Journal of Learning Analytics, 2024
Remote technology has been widely incorporated into health professions education. For procedural skills training, effective feedback and reflection processes are required. Consequently, supporting a self-regulated learning (SRL) approach with learning analytics dashboards (LADs) has proven beneficial in online environments. Despite the potential…
Descriptors: Feedback (Response), Independent Study, Skill Development, Learning Analytics
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Zixi Li; Curtis J. Bonk; Chen Zhou – Interactive Technology and Smart Education, 2024
Purpose: This study aims to investigate a unique approach to learning languages through self-directed online learning. Specifically, it explores the self-management abilities and skills learners need while learning a language outside traditional classroom settings when using mobile-assisted learning technology. Design/methodology/approach: A…
Descriptors: Self Management, Independent Study, Second Language Learning, Electronic Learning
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Wei-Sheng Wang; Chia-Ju Lin; Hsin-Yu Lee; Yueh-Min Huang; Ting-Ting Wu – Education and Information Technologies, 2025
This study explores the integration of ChatGPT technology into Virtual Reality (VR) learning environments to support self-regulated learning (SRL) strategies and foster higher-order thinking skills (HOTS). Utilizing a randomized controlled trial (RCT) design, 81 undergraduate students were randomly assigned to either an experimental group with…
Descriptors: Undergraduate Students, Independent Study, Thinking Skills, Computer Simulation
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Lai, Yuzhi; Saab, Nadira; Admiraal, Wilfried – Education and Information Technologies, 2022
Language learners in higher education increasingly use out-of-class self-directed learning facilitated by mobile technology. In order to make informed educational decisions, this study sets out to provide an overview of empirical research into learning strategies that self-directed learners use with the support of mobile technology in language…
Descriptors: Learning Strategies, Independent Study, Second Language Learning, Higher Education
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Xiang Wu; Huanhuan Wang; Yongting Zhang; Baowen Zou; Huaqing Hong – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence has become the focus of the intelligent education field, especially in the generation of personalized learning resources. Current learning resource generation methods recommend customized courses based on learning styles and interests, improving learning efficiency. However, these methods cannot generate…
Descriptors: Artificial Intelligence, Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style
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Melis Dülger; Anouschka van Leeuwen; Jeroen Janssen; Liesbeth Kester – Education and Information Technologies, 2025
Self-regulated learning (SRL) is crucial for fostering lifelong learning skills in students, encompassing planning, monitoring, and controlling abilities. Previous research indicates that many students struggle to regulate their learning effectively. In the Netherlands, adaptive learning technologies are widely used to support math education in…
Descriptors: Educational Technology, Technology Uses in Education, Elementary School Teachers, Direct Instruction
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Tingting Wang; Alejandra Ruiz-Segura; Shan Li; Susanne P. Lajoie – Journal of Computer Assisted Learning, 2024
Background: Scholars have confirmed the vital roles of self-regulated learning (SRL) behaviours in predicting task performance, especially within non-linear technology-rich learning environments (TREs). However, few studies focused on the learning costs (e.g., study effort and time-on-task) related to SRL and the efficiency outcome of SRL (i.e.,…
Descriptors: Problem Solving, Educational Environment, Efficiency, Student Behavior
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Mariam Revishvili; Mzia Tsereteli – Cogent Education, 2024
The purpose of this study was to explore the psychological mechanism of self-regulated learning in a technology-enhanced learning environment and to develop a comprehensive model of its function. As a theoretical approach, we used Pintrich's model of Self-regulated learning. The mixed research methods were used in this study. First, we conducted…
Descriptors: Foreign Countries, Undergraduate Students, Independent Study, Technology Integration
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Wiggins, Harry; van der Hoff, Quay – International Journal of Technology in Education and Science, 2021
Self-directed learning is learning in which the conceptualization, design, conduct and evaluation of new content is directed and driven by the learner itself. This is an essential skill for students in the 21st century. Many large undergraduate courses use an online homework system to engage the whole class in the course material simultaneously. A…
Descriptors: Homework, Educational Technology, Learning Strategies, Independent Study
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Han, Feifei; Ellis, Robert A. – Education and Information Technologies, 2023
This study investigated the extent to which self-report and digital-trace measures of students' self-regulated learning in blended course designs align with each other amongst 145 first-year computer science students in a blended "computer systems" course. A self-reported Motivated Strategies for Learning Questionnaire was used to…
Descriptors: Computer Science Education, Independent Study, College Freshmen, Blended Learning
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Tang, Kai-Yu; Chen, Chao-Chen; Hwang, Gwo-Jen; Tu, Yun-Fang – Educational Technology Research and Development, 2022
Mobile learning strategies have been employed for social learning activities, including library- and museum-supported learning. Previous studies have reviewed the literature from the technological aspect. However, a retrospective study from the perspective of bibliometric and network structure has not yet been provided. The aim of this study was…
Descriptors: Learning Strategies, Handheld Devices, Educational Technology, Computer Oriented Programs
Mahmoud M. S. Abdallah – Online Submission, 2025
The integration of Artificial Intelligence (AI) into education has heralded new paradigms for language learning, with conversational AI chatbots emerging as potent tools for fostering learner autonomy. Therefore, this article explores how conversational AI chatbots support and reinforce Self-Regulated Learning (SRL) in language acquisition. It…
Descriptors: Computer Mediated Communication, Artificial Intelligence, Technology Integration, Second Language Learning
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Wang, Jingying; Jou, Min – Interactive Learning Environments, 2023
As mobile learning (ML) becomes more and more popular, teaching methods are gradually adapting to flipped classrooms or micro-flipped classrooms. Many studies have discussed the influence of ML-based flipped classrooms on students' learning in a macroscopic way. However, at the micro-level, the impact of these classrooms on students' emotional…
Descriptors: Telecommunications, Handheld Devices, Emotional Development, Cognitive Processes
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