Using cognitive affective interaction model to construct on-line game for creativity

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

5 Citations (Scopus)

Abstract

The paper constructed an online game for Creativity. The development of the game is based on the Cognitive Affective Interaction Model that was designed to help students develop the skills for divergent and creative thinking. First, we proposed a framework for designing creativity games. Then, an online game system is constructed with the strategies of teaching for creativity. We proved that the creativity of the learners can be improved by the proposed game-based learning system. Conclusively, game-based learning creates a new opportunity for creativity.

Original languageEnglish
Title of host publicationTechnologies for E-Learning and Digital Entertainment - First International Conference, Edutainment 2006, Proceedings
Pages409-418
Number of pages10
DOIs
Publication statusPublished - 2006 Jul 17
Event1st International Conference on Technologies for E-Learning and Digital Entertainment, Edutainment 2006 - Hangzhou, China
Duration: 2006 Apr 162006 Apr 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3942 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Conference on Technologies for E-Learning and Digital Entertainment, Edutainment 2006
CountryChina
CityHangzhou
Period06/4/1606/4/19

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Hsiao, H. S., Wong, K. H., Wang, M. J., Yu, K. C., Chang, K. E., & Sung, Y. T. (2006). Using cognitive affective interaction model to construct on-line game for creativity. In Technologies for E-Learning and Digital Entertainment - First International Conference, Edutainment 2006, Proceedings (pp. 409-418). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3942 LNCS). https://doi.org/10.1007/11736639_52