"An Odysseus internship affords undergraduate students from around the world with an interest in Computer Science the opportunity to undertake exciting and fun research in a distributed yet cooperative environment."
It is widely acknowledged that e-learners differ in skills, preferences and may seek different information when accessing Web based educational systems.
Therefore, various adaptive and personalised e-learning systems (AeLS) were proposed in the last decade that capture and analyse various user-related features, and personalise the educational material thus optimising users’ learning experience.
This project will design and develop an AeLS that follows learner interest in certain topics through eye tracking and personalises the learning process by providing supplementary educational material. Tests and evaluations involving students will assess the benefits brought by the personalised e-learning system in terms of learning outcome and performance. Special equipment will be used to observe record and analyse learner behaviour and interaction.
Personalised e-learning system and a technical paper.
Desktop for subjects, access to a server to deploy the AeLS, special equipment for eye tracking and monitoring learner behaviour.
Recent comments
2 years 50 weeks ago
2 years 51 weeks ago
3 years 38 weeks ago
3 years 38 weeks ago