Face-to-Face Teaching Analytics: Extracting Teaching Activities from E-Book Logs via Time-Series Analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

To discover teaching knowledge efficiently, we must extract the various teaching activities from educational data. In this paper, through the use of e-book logs and techniques of time-series analysis, we describe a method of practicing teaching analytics in face-to-face classes, one which enable us to extract the teaching activity efficiently and accurately.

Original languageEnglish
Title of host publicationProceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017
EditorsRonghuai Huang, Radu Vasiu, Kinshuk, Demetrios G Sampson, Nian-Shing Chen, Maiga Chang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages267-268
Number of pages2
ISBN (Electronic)9781538638705
DOIs
Publication statusPublished - Aug 3 2017
Event17th IEEE International Conference on Advanced Learning Technologies, ICALT 2017 - Timisoara
Duration: Jul 3 2017Jul 7 2017

Publication series

NameProceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017

Conference

Conference17th IEEE International Conference on Advanced Learning Technologies, ICALT 2017
CityTimisoara
Period7/3/177/7/17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Education

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