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An Analysis of Correlation Between Seat Positions and Achievements of Students

Authors:
Toshiro Minami
Yoko Ohura

Keywords: Educational Data Mining; Learning Analytics; Seat Location; Friendship Analysis.

Abstract:
It has been a big issue for universities to setup an appropriate environment for their students to learn effectively. Traditionally, professors have been supposed to understand their students, their attitudes to learning, knowledge levels and other factors by themselves. Thanks to the recent development of Information and Communications Technology (ICT), it is possible to collect various kinds of educational data, analyze them, and extract useful knowledge for enhancing education. Such approach is called Educational Data Mining (EDM). This paper, as a part of EDM, deals with the seat occupation data of students in a class. It is often pointed out that students who take seats close to the lecturer tend to have good evaluation scores, or achievements. Our major aim of this paper is to analyze objective data and to investigate how students take their seats, to find if seat locations relate to the students’ achievements, and to investigate if distances of seats between students relate to their differences of achievements.

Pages: 6 to 12

Copyright: Copyright (c) IARIA, 2018

Publication date: May 20, 2018

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-637-8

Location: Nice, France

Dates: from May 20, 2018 to May 24, 2018