Analysis of Learning Activities and Effects on Blended Lectures

Shin’nosuke Yamaguchi, Hideki Kondō, Yoshimasa Ohnishi, Kazunori Nishino

Procedia Computer Science · 2019 · 15 citations · 1 references

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Abstract

Many educational institutions implement blended lectures using an LMS, but few studies exist that have analysed learning effects and how best to conduct learning modules. In this paper, we analysed students' learning activities and learning effects by using basic log data from an LMS on blended information literacy lectures to evaluate the lectures. In addition, we divided students into groups and analysed their differences by the number of learning effects and learning activities. The results show that some students showed no associations between the number of times they used teaching materials and their learning effects. We report the details of these differences and make suggestions for improvements in lectures. In addition, we propose three lecture patterns to encourage students' activities.

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