Thesis Topic Details
Topic ID: |
919 | |
Title: |
Adaptive E-learning | |
Supervisor: |
Nadine Marcus | |
Research Area: |
Artificial Intelligence, Learning and Teaching | |
| Associated Staff | ||
|---|---|---|
Assessor: |
Claude Sammut | |
| Topic Details | ||
Status: |
Active | |
Type: |
R & D | |
Programs: |
CS CE BIOM BINF SE | |
Group Suitable: |
No | |
Industrial: |
No | |
Pre-requisites: |
A WAM of distinction level or higher. | |
Description: |
The project involves using AI-based planning and machine learning techniques to build flexible e-learning systems. A system will be developed that can adapt to the learners level of knowledge in a domain. |
|
Comments: |
This topic is jointly supervised with Claude Sammut | |
| Past Student Reports | ||
| No Reports Available. Contact the supervisor for more information.
Check out all available reports in the CSE Thesis Report Library. NOTE: only current CSE students can login to view and select reports to download. |
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