NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 10 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Järvelä, Sanna; Nguyen, Andy; Hadwin, Allyson – British Journal of Educational Technology, 2023
Artificial intelligence (AI) has generated a plethora of new opportunities, potential and challenges for understanding and supporting learning. In this paper, we position human and AI collaboration for socially shared regulation (SSRL) in learning. Particularly, this paper reflects on the intersection of human and AI collaboration in SSRL…
Descriptors: Artificial Intelligence, Intelligence, Cooperation, Learning Processes
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Qingchuan Li; Yan Luximon; Jiaxin Zhang; Yao Song – British Journal of Educational Technology, 2024
Although the utilization of mobile technologies has recently emerged in various educational settings, limited research has focused on cognitive load detection in the pen-based learning process. This research conducted two experimental studies to investigate what and how multimodal data can be used to measure and classify learners' real-time…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Handwriting
Peer reviewed Peer reviewed
Direct linkDirect link
Giulia Cosentino; Jacqueline Anton; Kshitij Sharma; Mirko Gelsomini; Michail Giannakos; Dor Abrahamson – British Journal of Educational Technology, 2025
As AI increasingly enters classrooms, educational designers have begun investigating students' learning processes vis-à-vis simultaneous feedback from active sources--AI and the teacher. Nevertheless, there is a need to delve into a more comprehensive understanding of the orchestration of interactions between teachers and AI systems in educational…
Descriptors: Artificial Intelligence, Learning Processes, Instructional Design, Design
Peer reviewed Peer reviewed
Direct linkDirect link
Järvelä, Sanna; Gaševic, Dragan; Seppänen, Tapio; Pechenizkiy, Mykola; Kirschner, Paul A. – British Journal of Educational Technology, 2020
Collaborative learning (CL) can be a powerful method for sharing understanding between learners. To this end, strategic regulation of processes, such as cognition and affect (including metacognition, emotion and motivation) is key. Decades of research on self-regulated learning has advanced our understanding about the need for and complexity of…
Descriptors: Artificial Intelligence, Man Machine Systems, Affective Behavior, Cognitive Processes
Peer reviewed Peer reviewed
Direct linkDirect link
Yun Dai; Ziyan Lin; Ang Liu; Wenlan Wang – British Journal of Educational Technology, 2024
While AI has become more prevalent in our society than ever, many young learners are found holding various naive, erroneous conceptions of AI due to the influence of their technology and media environments. To address this issue, this study seeks to propose a novel pedagogical solution to improve upper-elementary school students' scientific…
Descriptors: Artificial Intelligence, Technology Uses in Education, Elementary Education, Elementary School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Ahn, Byunghoon; Harley, Jason M. – British Journal of Educational Technology, 2020
Learning analytics (LA) incorporates analyzing cognitive, social and emotional processes in learning scenarios to make informed decisions regarding instructional design and delivery. Research has highlighted important roles that emotions play in learning. We have extended this field of research by exploring the role of emotions in a relatively…
Descriptors: Nonverbal Communication, Computer Software, LGBTQ People, Data Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Moreno, Valter; Cavazotte, Flavia; Alves, Isabela – British Journal of Educational Technology, 2017
Students' success in e-learning programs depends on how they adopt and embed technology into their learning activities. Drawing on the Technology Acceptance Model, we propose a framework to explain students' intention to use e-learning platforms effectively, that is, their intention to fully exploit system's functionalities in leaning processes,…
Descriptors: College Students, Electronic Learning, Intention, Student Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Allsop, Yasemin – British Journal of Educational Technology, 2016
In this paper, children's mental activities when making digital games are explored. Where previous studies have mainly focused on children's learning, this study aimed to unfold the children's thinking process for learning when making computer games. As part of an ongoing larger scale study, which adopts an ethnographic approach, this research…
Descriptors: Computer Games, Children, Video Technology, Group Discussion
Peer reviewed Peer reviewed
Gilbert, Timothy – British Journal of Educational Technology, 1975
Descriptors: Cognitive Processes, Educational Experiments, Educational Research, Learning Processes