An investigation of the effects of online test strategy on students' learning behaviors

Tzu-Chi Yang, Dai Ling Shih, Meng Chang Chen

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

1 Scopus citations

Abstract

Online tests have been identified as a core learning activity. Unlike conventional online tests, which cannot completely reflect students' learning status, two-tier tests not only consider students' answers, but also take into account reasons for their answers. Thus, research into a two-tier test had mushroomed but few studies examined why the two-tier test approach was effective. To this end, we conducted an empirical study, where a lag sequential analysis was used to analyze behavior patterns. The results indicated students with the twotier test demonstrated different behaviors which develop "breadth to depth" and "depth to breadth" strategies. Copyright is held by the author/owner(s).

Original languageEnglish
Title of host publicationL@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale
PublisherAssociation for Computing Machinery, Inc
Pages281-284
Number of pages4
ISBN (Electronic)9781450337267
DOIs
StatePublished - 25 Apr 2016
Event3rd Annual ACM Conference on Learning at Scale, L@S 2016 - Edinburgh, United Kingdom
Duration: 25 Apr 201626 Apr 2016

Publication series

NameL@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale

Conference

Conference3rd Annual ACM Conference on Learning at Scale, L@S 2016
CountryUnited Kingdom
CityEdinburgh
Period25/04/1626/04/16

Keywords

  • Lag sequential analysis
  • Learning behavior
  • Online test

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  • Cite this

    Yang, T-C., Shih, D. L., & Chen, M. C. (2016). An investigation of the effects of online test strategy on students' learning behaviors. In L@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale (pp. 281-284). (L@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale). Association for Computing Machinery, Inc. https://doi.org/10.1145/2876034.2893434