Applying sequential analysis to explore online teaching preparation behavioral patterns

Huei Tse Hou*, Kuo En Chang, Yao Ting Sung

*Corresponding author for this work

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

Abstract

In-depth exploring of users' actual behavioral patterns in e-Learning systems will be able to find out the limitations during their teaching/learning process and provide a good reference for intelligent system to provide auxiliaries to the process instantly. Instructional design (ID) is an important and highly complex behavior in the realm of teaching. This research adopted the sequential analysis, observed and analyzed online teaching preparations of 100 teachers. The study detected the teachers' sequential behavioral patterns and also proposed further suggestions for online intelligent ID systems according to the analysis method and the patterns we found out.

Original languageEnglish
Title of host publicationProceedings - ICCE 2008
Subtitle of host publication16th International Conference on Computers in Education
Pages73-77
Number of pages5
Publication statusPublished - 2008
Event16th International Conference on Computers in Education, ICCE 2008 - Taipei, Taiwan
Duration: 2008 Oct 272008 Oct 31

Publication series

NameProceedings - ICCE 2008: 16th International Conference on Computers in Education

Other

Other16th International Conference on Computers in Education, ICCE 2008
Country/TerritoryTaiwan
CityTaipei
Period2008/10/272008/10/31

Keywords

  • Behavioral pattern
  • Instructional design
  • Sequential analysis method

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

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