Publication Date
| In 2026 | 0 |
| Since 2025 | 2 |
| Since 2022 (last 5 years) | 4 |
| Since 2017 (last 10 years) | 4 |
| Since 2007 (last 20 years) | 4 |
Descriptor
| Biofeedback | 4 |
| Cognitive Processes | 4 |
| Educational Technology | 4 |
| Difficulty Level | 3 |
| Eye Movements | 3 |
| Computer Simulation | 2 |
| Technology Uses in Education | 2 |
| Artificial Intelligence | 1 |
| Attention | 1 |
| Brain | 1 |
| Computer Mediated… | 1 |
| More ▼ | |
Source
| Education and Information… | 1 |
| Electronic Journal of… | 1 |
| Journal of Computer Assisted… | 1 |
| Review of Education | 1 |
Author
| Ali Nouri | 1 |
| Eileen Scanlon | 1 |
| Emine Sendurur | 1 |
| Fatma Bayrambas | 1 |
| Fridolin Wild | 1 |
| Hamit Soyel | 1 |
| Isabelle Mareschal | 1 |
| Marie-Luce Bourguet | 1 |
| Yuko Suzuki | 1 |
| Yuli Sutoto Nugroho | 1 |
Publication Type
| Journal Articles | 4 |
| Reports - Research | 3 |
| Information Analyses | 2 |
Education Level
| Postsecondary Education | 2 |
| Higher Education | 1 |
Audience
Location
| United Kingdom | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Fatma Bayrambas; Emine Sendurur – Education and Information Technologies, 2024
Incidental learning is a type of informal learning occurring consciously with unintentional acts. Within the scope of this study, informal learning on a digital learning platform was examined in the context of cognitive load. The current study investigated the changes in incidental learning within two different scenarios: extraneous irrelevant…
Descriptors: Incidental Learning, Cognitive Processes, Difficulty Level, Biofeedback
Ali Nouri – Review of Education, 2025
This paper presents a scoping review of the literature on educational neurotechnology, examining its types, methods, applications, opportunities and challenges. A total of 4236 articles were identified from PubMed, ScienceDirect, Scopus, Web of Science and ERIC, with 471 peer-reviewed studies selected and analysed following PRISMA guidelines and…
Descriptors: Educational Technology, Neurosciences, Brain, Biofeedback
Yuko Suzuki; Fridolin Wild; Eileen Scanlon – Journal of Computer Assisted Learning, 2024
Background: Cognitive load during AR use has been measured conventionally by performance tests and subjective rating. With the growing interest in physiological measurement using non-invasive biometric sensors, unbiased real-time detection of cognitive load in AR is expected. However, a range of sensors and parameters are used in various subject…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Physiology
Avatars vs. Video Presence: Effects of Instructor Presence on Cognitive Load in Video-Based Learning
Yuli Sutoto Nugroho; Marie-Luce Bourguet; Hamit Soyel; Isabelle Mareschal – Electronic Journal of e-Learning, 2025
This study examines the impact of instructor presence on cognitive load and learning outcomes in video-based learning environments, addressing a significant gap in optimising instructional design for digital education. Utilising eyetracking technology to measure pupil dilation, a reliable proxy for cognitive load, this research compares three…
Descriptors: Foreign Countries, Undergraduate Students, Electronic Learning, Video Technology

Peer reviewed
Direct link
