Discovering teachers' in-class ict usage with frequent closed sequence mining

Bingcong Wu, Longwei Zheng, Xiaoqing Gu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The adoption of E-textbook has offered a new opportunity to gain insight into teachers' usage of ICT in class. Usage of technology can vary greatly from one group of teachers from another and they have different using patterns. In this study, we discuss three different using patterns which we discovered with Frequent closed sequences mining. We find that different using patterns show teachers' using habits, and can probably affect the teaching efficiency due to learners' different learning experience in class.

Original languageEnglish
Title of host publicationProceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings
EditorsAhmad Fauzi Mohd Ayub, Antonija Mitrovic, Jie-Chi Yang, Su Luan Wong, Wenli Chen
PublisherAsia-Pacific Society for Computers in Education
Pages505-507
Number of pages3
ISBN (Print)9789869401265
StatePublished - 2017
Event25th International Conference on Computers in Education, ICCE 2017 - Christchurch, New Zealand
Duration: 4 Dec 20178 Dec 2017

Publication series

NameProceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings

Conference

Conference25th International Conference on Computers in Education, ICCE 2017
Country/TerritoryNew Zealand
CityChristchurch
Period4/12/178/12/17

Keywords

  • Frequent sequences mining
  • ICT
  • Learning analytics
  • Visual analytics

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