SHS Web Conf.
Volume 102, 2021The 3rd ETLTC International Conference on Information and Communications Technology (ETLTC2021)
|Number of page(s)||4|
|Section||Applications in Computer Science|
|Published online||03 May 2021|
Learning Style Index: Analysis and Smartphone-based Implementation
Software Engineering Lab. University of Aizu, Japan
Recently, research on remote system is attracting a lot of attention due to the outbreak of infectious disease in 2019. Especially in the field of education, many instructors must deliver a lecture through the internet. However, sometimes there lacks the mutual understanding between instructors and students. In this research, we propose a mobile application to analyze the learning styles for individual learners. It provides students a tool to identify their best learning style and an efficient learning method. It also helps teachers to create suitable lecture materials by indicating the learning tendencies of their classes.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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