Combining personalisation and adaptation in game-based learning systems
WBED'07 Proceedings of the sixth conference on IASTED International Conference Web-Based Education - Volume 2
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A mining-based approach on discovering courses pattern for constructing suitable learning path
Expert Systems with Applications: An International Journal
PC2PSO: personalized e-course composition based on Particle Swarm Optimization
Applied Intelligence
Journal of Network and Computer Applications
Optimal study number of stochastic e-learning system
International Journal of Knowledge and Web Intelligence
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This paper investigates the problem of adaptation and personalization in e-learning systems. A new metric-QoL (Quality of Learning)-is recommended for e-learning systems to evaluate the learning process. This paper proposes the Adaptive & Personalized E-Learning System (APeLS) that provides dynamic learning content and an adaptive learning process for learners to enhance the quality of learning. According to feedback from the learner, the proposed APeLS is capable of self-adjusting and self-reorganizing the learning components and paths to adapt to each user's learning interests, abilities, and behavior. This adaptation and reconfiguration is produced according to the user's QoL and a dynamic referred ideal learning curve. To ensure QoL, the proposed APeLS revises each user's learning curve to match with the referred ideal learning curve. A prototype system is implemented, and the collected results are excellent.