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Jinglei Yu; Shengquan Yu; Ling Chen – British Journal of Educational Technology, 2025
Video-based teacher online learning enables teachers to engage in reflective practice by watching others' classroom videos, providing peer feedback (PF) and reviewing others' work. However, the quality and reliability of PF often suffer due to variations in teaching proficiency among providers, which limits its usefulness for reviewers. To improve…
Descriptors: Artificial Intelligence, Peer Evaluation, Feedback (Response), Reflection
Leisi Pei; Morris Siu-Yung Jong; Junjie Shang; Guang Ouyang – British Journal of Educational Technology, 2025
Cognitive load is a critical internal state associated with learners' learning process and significantly influences learning outcomes. With the worldwide popularity of video-based learning (VBL), tracking real-time cognitive load variations becomes more and more important for the timely provision of adaptive learning support during the learning…
Descriptors: Diagnostic Tests, Brain, Cognitive Processes, Difficulty Level
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
Liu, Zheyu; Yin, Hongbiao; Cui, Weijin; Xu, Boyu; Zhang, Mingchang – British Journal of Educational Technology, 2022
Designing reflective activities for online video learning could enhance learning outcomes and, to some extent, influence learning processes (ie, attentional processes and emotional experiences). It is necessary to select different levels of reflective activities in online video learning according to learning processes and outcomes. This study…
Descriptors: Reflection, Electronic Learning, Video Technology, Learning Activities
Xu, Wei; Zhou, Yuhan – British Journal of Educational Technology, 2020
With the rapid development of online learning platforms, learners have more access to various kinds of courses. However, they may find it difficult to make choices due to the massive number of courses. The main contribution of our research is the design of a course recommendation framework which extracts multimodal course features based on deep…
Descriptors: Electronic Learning, Online Courses, Course Selection (Students), Preferences
Sprenger, David A.; Schwaninger, Adrian – British Journal of Educational Technology, 2023
The technology acceptance model (TAM) uses perceived usefulness and perceived ease of use to predict the intention to use a technology which is important when deciding to invest in a technology. Its extension for e-learning (the general extended technology acceptance model for e-learning; GETAMEL) adds subjective norm to predict the intention to…
Descriptors: Video Technology, Demonstrations (Educational), Prediction, Intention
Intrinsic Motivation Enhances Online Group Creativity via Promoting Members' Effort, Not Interaction
Zhang, Xinru; Pi, Zhongling; Li, Chenyu; Hu, Weiping – British Journal of Educational Technology, 2021
Intrinsic motivation is seen as the principal source of vitality in educational settings. This study examined whether intrinsic motivation promoted online group creativity and tested a cognitive mechanism that might explain this effect. University students (N = 72; 61 women) who volunteered to participate were asked to fulfill a creative task with…
Descriptors: College Students, Student Motivation, Cooperative Learning, Group Activities
Moon, Jewoong; Ke, Fengfeng; Sokolikj, Zlatko – British Journal of Educational Technology, 2020
Tracking students' learning states to provide tailored learner support is a critical element of an adaptive learning system. This study explores how an automatic assessment is capable of tracking learners' cognitive and emotional states during virtual reality (VR)-based representational-flexibility training. This VR-based training program aims to…
Descriptors: Adolescents, Autism, Pervasive Developmental Disorders, Learning Processes
Pegrum, Mark; Bartle, Emma; Longnecker, Nancy – British Journal of Educational Technology, 2015
This paper examines the effect of a podcasting task on the examination performance of several hundred first-year chemistry undergraduate students. Educational researchers have established that a deep approach to learning that promotes active understanding of meaning can lead to better student outcomes, higher grades and superior retention of…
Descriptors: Creative Activities, Multimedia Materials, Undergraduate Students, Science Education
Smith, Colleen; Gillham, David; McCutcheon, Helen; Ziaian, Tahereh – British Journal of Educational Technology, 2011
There are increased opportunities for online delivery innovation within the education sector because of rapid advances in Internet technology. This paper describes a unique and efficient approach to simulation called "scenariation". The scenariation project aimed to establish efficient processes for the development of scenariation content and…
Descriptors: Video Technology, Nursing Students, Nursing Education, Allied Health Occupations Education
Cooner, Tarsem Singh – British Journal of Educational Technology, 2010
This paper examines BA Social Work students' experiences of developing their reflective skills to work with diverse communities using a technology-enhanced blended learning design. In response to growing student numbers, new teaching and learning resources were developed to provide opportunities for students to engage in reflection-in-action at…
Descriptors: Formative Evaluation, Educational Technology, Social Work, College Students