Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 2 |
| Since 2006 (last 20 years) | 2 |
Descriptor
| Cognitive Processes | 2 |
| Electronic Learning | 2 |
| Hypermedia | 2 |
| Multimedia Instruction | 2 |
| Automation | 1 |
| Biology | 1 |
| College Students | 1 |
| Computer Science Education | 1 |
| Difficulty Level | 1 |
| Eye Movements | 1 |
| Foreign Countries | 1 |
| More ▼ | |
Source
| Education Sciences | 2 |
Author
| Kamioka, Eiji | 2 |
| Mwambe, Othmar Othmar | 2 |
| Tan, Phan Xuan | 2 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textMwambe, Othmar Othmar; Tan, Phan Xuan; Kamioka, Eiji – Education Sciences, 2021
As intelligent systems demand for human-automation interaction increases, the need for learners' cognitive traits adaptation in adaptive educational hypermedia systems (AEHS) has dramatically increased. AEHS utilize learners' cognitive processes to attain fair human-automation interaction for their adaptive processes. However, obtaining accurate…
Descriptors: Eye Movements, Man Machine Systems, Interaction, Automation
Mwambe, Othmar Othmar; Tan, Phan Xuan; Kamioka, Eiji – Education Sciences, 2020
Adaptive Educational Hypermedia Systems (AEHS) play a crucial role in supporting adaptive learning and immensely outperform learner-control based systems. AEHS' page indexing and hyperspace rely mostly on navigation supports which provide the learners with a user-friendly interactive learning environment. Such AEHS features provide the systems…
Descriptors: Biology, Information Science, Technology Uses in Education, Hypermedia
