A social reinforcement learning agent
Proceedings of the fifth international conference on Autonomous agents
Integrated learning for interactive synthetic characters
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
WWW and Java-based distributed examination system for distance learning applications
PAS '97 Proceedings of the 2nd AIZU International Symposium on Parallel Algorithms / Architecture Synthesis
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In recent years, developing useful learning assistance systems has become a hot research topic in the literature. The learner can be benefited by the useful guidance provided by the learning assistance tool. An effective learning assistance tool can reduce the teaching load of the teacher. However, it is rarely seen that a learning assistance tool employs machine learning techniques to provide appropriate diagnosis or feedback to learners or teachers in the literature. We thus propose a learning assistance tool that employs reinforcement learning technique to continuously interact with the environment in order to offer learners suitable and timely feedback, guide them through the difficulties. Our experimental results reveal that our learning assistance tool can effectively enhance the learners' ICT application ability and assist the learners in overcoming difficulties. The teaching load of the teacher is also significantly reduced.