Downloads: 42

Files in This Item:
File Description SizeFormat 
ICCE2020.1_634.pdf7.2 MBAdobe PDFView/Open
Title: Supporting Group Learning Using Pen Stroke Data Analytics
Authors: YOSHITAKE, Daichi
FLANAGAN, Brendan
OGATA, Hiroaki  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-5216-1576 (unconfirmed)
Author's alias: 緒方, 広明
Keywords: learning analytics
pen stroke data
handwriting
educational support
clustering
group learning
group formation
Issue Date: 23-Nov-2020
Publisher: Asia-Pacific Society for Computers in Education (APSCE)
Journal title: 28th International Conference on Computers in Education Conference Proceedings
Volume: 1
Start page: 634
End page: 639
Abstract: Education environments are increasingly becoming digitized, however in some circumstances handwriting input still is an important part of the learning process. In this paper, we propose and implement an educational support system using pen stroke data analysis. Junior high school teachers can perform data analysis themselves with the system. Pen stroke data is collected using a handwritten memo feature in the BookRoll digital learning material reader. Pen stroke data that is collected by the system includes: time, color, x-coordinate and ycoordinate. The system has functions for automatic group formation by using clustering based on the analysis of characteristics oflearner pen strokes that are collected from the whole class. It is anticipated that the group formation function can support teachers in quickly creating learning groups in a timely manner based on automated data analysis.
Description: 28th International Conference on Computers in Education, 23-27 November 2020, Web conference.
Rights: Copyright 2020 Asia-Pacific Society for Computers in Education.
許諾条件に基づいて掲載しています。
URI: http://hdl.handle.net/2433/259798
Appears in Collections:Journal Articles

Show full item record

Export to RefWorks


Export Format: 


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.