Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 3 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 7 |
Descriptor
Source
| British Journal of… | 7 |
Author
| Choi, Ikseon | 1 |
| Gorissen, Pierre | 1 |
| Guang Ouyang | 1 |
| Guo, Xin | 1 |
| Jochems, Wim | 1 |
| Junjie Shang | 1 |
| Kang, Jeongwan | 1 |
| Kazlauskas, Alanah | 1 |
| Lee, Sang Joon | 1 |
| Leisi Pei | 1 |
| Morris Siu-Yung Jong | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 7 |
| Reports - Research | 7 |
Education Level
| Higher Education | 5 |
| Postsecondary Education | 5 |
Audience
Location
| Switzerland | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
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
Gorissen, Pierre; van Bruggen, Jan; Jochems, Wim – British Journal of Educational Technology, 2015
Students more and more have access to online recordings of the lectures they attend at universities. The volume and length of these recorded lectures however make them difficult to navigate. Research shows that students primarily watch the recorded lectures while preparing for their exams. They do watch the full recorded lectures, but review only…
Descriptors: Navigation (Information Systems), Usability, Lecture Method, Online Courses
Kazlauskas, Alanah; Robinson, Kathy – British Journal of Educational Technology, 2012
Twenty-first century students are expected to utilise emerging technologies such as lecture podcasts as learning tools. This research explored the uptake of podcasts by undergraduate students enrolled in two very different cognitively challenging subjects in the second year of the nursing programme and in the first year of a business programme.…
Descriptors: Electronic Learning, Undergraduate Students, Internet, Lecture Method
Tong, Vincent C. H. – British Journal of Educational Technology, 2012
Synchronous e-voting systems (commonly known as "clickers") have become increasingly popular as they can be used to enhance interactivity in lectures. Asynchronous electronic surveys (AESs), unlike these voting system, usually serve as a method of gathering feedback before or after teaching sessions. This paper describes and evaluates a project…
Descriptors: Feedback (Response), Lecture Method, Units of Study, Science Instruction
Choi, Ikseon; Lee, Sang Joon; Kang, Jeongwan – British Journal of Educational Technology, 2009
This study explores how students' learning styles influence their learning while solving complex problems when a case-based e-learning environment is implemented in a conventional lecture-oriented classroom. Seventy students from an anaesthesiology class at a dental school participated in this study over a 3-week period. Five learning-outcome…
Descriptors: Cognitive Style, Dental Schools, Educational Environment, Learning Experience

Peer reviewed
Direct link
