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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
Jodie Torrington; Matt Bower; Emma C. Burns – British Journal of Educational Technology, 2024
It is well-established that being a self-regulated learner is beneficial academically, motivationally and is considered essential for productive life-long learning. Despite this, there is limited evidence examining how different measures of self-regulation for learning (SRL) relate to task performance for young students learning in digital…
Descriptors: Elementary School Students, Elementary Education, Electronic Learning, Independent Study
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
Ikenna Osakwe; Guanliang Chen; Yizhou Fan; Mladen Rakovic; Shaveen Singh; Lyn Lim; Joep van der Graaf; Johanna Moore; Inge Molenaar; Maria Bannert; Alex Whitelock-Wainwright; Dragan Gaševic – British Journal of Educational Technology, 2024
Self-regulated learning (SRL) is an essential skill to achieve one's learning goals. This is particularly true for online learning environments (OLEs) where the support system is often limited compared to a traditional classroom setting. Likewise, existing research has found that learners often struggle to adapt their behaviour to the…
Descriptors: Metacognition, Learning Strategies, Teaching Methods, Classroom Environment
Pi, Zhongling; Zhang, Yi; Shi, Dongyuan; Guo, Xin; Yang, Jiumin – British Journal of Educational Technology, 2022
Generating written explanations is a popular learning strategy in an online learning environment. Students can explain to themselves (ie, self-explanations) or a peer-student (ie, instructional explanations). However, for improving learning from video lectures, it is unclear whether writing self-explanations is more beneficial than writing…
Descriptors: Learning Strategies, Metacognition, Video Technology, Lecture Method
Park, Eunsung; Ifenthaler, Dirk; Clariana, Roy B. – British Journal of Educational Technology, 2023
The real-time and granularized learning information and recommendations available from adaptive learning technology can provide learners with feedback that is personalized. However, at an individual level, learners often experience technological and pedagogical conflicts. Learners have more freedom to accept, ignore or reject the feedback while…
Descriptors: Metacognition, Learning Analytics, Learning Management Systems, Learning Strategies
Katharina Teich; Vanessa Stefanie Loock; Nikol Rummel – British Journal of Educational Technology, 2024
Online courses are particularly attractive in continuing education because they offer a high degree of autonomy and flexibility, although this requires learners to take greater responsibility for self-regulating their learning. That can be challenging for adult learners as they need to handle other obligations in addition to learning. Thus,…
Descriptors: Electronic Learning, Continuing Education, Self Management, Learning Strategies
Saqr, Mohammed; Peeters, Ward – British Journal of Educational Technology, 2022
Social Network Analysis (SNA) has enabled researchers to understand and optimize the key dimensions of collaborative learning. A majority of SNA research has so far used static networks, i.e., aggregated networks that compile interactions without considering "when" certain activities or relationships occurred. Compressing a temporal…
Descriptors: Social Networks, Network Analysis, Cooperative Learning, Electronic Learning
Reilly Norum; Ji-Eun Lee; Erin Ottmar; Lane Harrison – British Journal of Educational Technology, 2024
Well-designed online educational games can improve students' math knowledge, skills and engagement; however, more research is needed to understand how to formatively assess components of students' mathematical understanding and learning as students solve problems in online educational games. In this study, we examined how 7th-grade students' (N =…
Descriptors: Educational Games, Computer Games, Student Evaluation, Mathematics Skills
Davy Tsz Kit Ng; Chee Wei Tan; Jac Ka Lok Leung – British Journal of Educational Technology, 2024
In recent years, AI technologies have been developed to promote students' self-regulated learning (SRL) and proactive learning in digital learning environments. This paper discusses a comparative study between generative AI-based (SRLbot) and rule-based AI chatbots (Nemobot) in a 3-week science learning experience with 74 Secondary 4 students in…
Descriptors: Student Empowerment, Learning Strategies, Self Management, Science Education
Kshitij Sharma; Andy Nguyen; Yvonne Hong – British Journal of Educational Technology, 2024
Adaptive learning technologies are closely related to learners' self-regulatory processes in individual and collaborative learning. This study presents the outcomes of a systematic literature review of empirical evidence on adaptive learning environments to foster self-regulation and shared regulation of learning in collaborative settings. We…
Descriptors: Self Management, Cooperation, Literature Reviews, Assistive Technology
Xiaofang Liao; Xuedi Zhang; Zhifeng Wang; Heng Luo – British Journal of Educational Technology, 2024
Formative assessment is essential for improving teaching and learning, and AI and visualization techniques provide great potential for its design and delivery. Using NLP, cognitive diagnostic and visualization techniques designed to analyse and present students' monthly exam data, we developed an AI-enabled visual report tool comprising six…
Descriptors: Artificial Intelligence, Design, Program Implementation, Formative Evaluation
Hilpert, Jonathan C.; Greene, Jeffrey A.; Bernacki, Matthew – British Journal of Educational Technology, 2023
Capturing evidence for dynamic changes in self-regulated learning (SRL) behaviours resulting from interventions is challenging for researchers. In the current study, we identified students who were likely to do poorly in a biology course and those who were likely to do well. Then, we randomly assigned a portion of the students predicted to perform…
Descriptors: Learning Theories, Independent Study, Artificial Intelligence, Biology
Lu-Ho Hsia; Yen-Nan Lin; Gwo-Jen Hwang – British Journal of Educational Technology, 2021
In most performing classes, such as dance or performing arts, students passively follow the scripts or demonstration provided by the teacher, and focus on imitating the acts and practicing repeatedly. Although researchers have begun trying out flipped learning to provide students with opportunities for self-learning and to increase the time for…
Descriptors: Creativity, Problem Solving, Flipped Classroom, Teaching Methods
Cheng, Kun-Hung; Tsai, Chin-Chung – British Journal of Educational Technology, 2020
Researchers have been devoted to exploring the impacts of immersive virtual reality (IVR) on education in recent years. However, efforts to probe the role of students' learning traits such as motivated strategies for learning in their IVR learning have been limited. Most studies commonly analyzed learners' perceptions of immersion with a single…
Descriptors: Student Motivation, Student Attitudes, Science Instruction, Computer Simulation