Matching and mismatching in web-based learning: A human centered approach

Pei Ren Huang, Li Ping Chang, Yu Cheng Shih, Yung Chi Hsu, Sherry Y. Chen

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

1 Scopus citations

Abstract

This study examines the effects of matching and mismatching on web-based learning with a human-centered approach. In particular, we emphasize on how prior knowledge and gender differences affect students' reactions to a matching/mismatching environment. In general, the results demonstrate that learners in a matching condition perform better than those in a mismatching condition. Furthermore, males can overcome the mismatching condition when they acquire declarative knowledge. In contrast, females can positively face the mismatching condition when they obtain procedural knowledge. In summary, the matching/mismatching is not only related to gender differences but also is linked to declarative/procedural knowledge.

Original languageEnglish
Title of host publicationProceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011
Pages369-371
Number of pages3
DOIs
StatePublished - 2011
Event2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011 - Athens, GA, United States
Duration: 6 Jul 20118 Jul 2011

Publication series

NameProceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011

Conference

Conference2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011
Country/TerritoryUnited States
CityAthens, GA
Period6/07/118/07/11

Keywords

  • Gender differences
  • Matching/mismatching
  • Prior knowledge

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