A Real-time Shortage Viewing Time Feed-back System for Mutual Viewing Learning based on Entropy

Abstract

In this paper, we report a real-time feed-back system for a making report on mutual viewing-based learning. The system has a function to feed-back shortage viewing time. We adopted summary viewing time of self and other learners' learning logs as a feature vector. To develop the system, we solve a condition to increase academic scores based on entropy. As the results, theaters can understand learners that use ineffective viewing, real-timely.