Towards a Better Understanding of Context and Context-Awareness
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
INSPIRE: An INtelligent System for Personalized Instruction in a Remote Environment
Revised Papers from the nternational Workshops OHS-7, SC-3, and AH-3 on Hypermedia: Openness, Structural Awareness, and Adaptivity
iWeaver: towards 'learning style'-based e-learning in computer science education
ACE '03 Proceedings of the fifth Australasian conference on Computing education - Volume 20
Modeling Context-Aware e-Learning Scenarios
PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
Human-Computer Interaction
Enhancing student learning through hypermedia courseware andincorporation of student learning styles
IEEE Transactions on Education
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Delivering e-learning services and content according to learner profiles is the main requirement towards developing context-adaptive e-learning systems. The work presented in this paper is part of an ongoing effort towards personalisation of e-learning services and content based on learner attributes such as learning styles and competency levels. Towards that aim, we formalise a context model which serves as the foundation for delineating the learner's profile for service and content adaptation. In this paper, the learning styles and competency levels of a cohort of engineering students undertaking a computing course were identified. The students were asked to rate a list of e-learning services and content personalisation approaches. The result shows there is significant variation of preferences and rating of e-learning services among learners of different profiles. This work serves as a reference for research on learner context profiling in context adaptive e-learning, particularly in computing courses.