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A Learning Enhancement System for Learner’s Community

  • Yuta Ishii,
  • Ayako Sugiyama,
  • Kosuke Fukushima,
  • Ryotaro Okada,
  • Takafumi Nakanishi

摘要

This paper proposes a realization method for a learning activity enhancement system for learner's community. One of the key points in learning is to review the learner's own learning activities. To achieve this, it is necessary to analyze and visualize learning records from multifaceted viewpoints. We also think that analyzing and visualizing learners’ learning activities from multifaceted viewpoints will help users recognize their own learning experiences, thereby contributing to their motivation to learn. This is because motivation is triggered differently for each person. We propose a learning activity enhancement model that enables users to analyze his/her daily learning records from multifaceted viewpoints. Using our model, we design a method for visualizing daily learning records from multifaceted viewpoints. This method aggregates and visualizes data from multiple perspectives on where, when, and what learning activities were performed by each learner. We also implement a system that records learning as data and visualizes the learning records by our method. Experiments with this system show that it is possible to increase the motivation of learners.