Using self-competition to enhance students' learning

Zhi Hong Chen, Tzu Chao Chien, Tak Wai Chan

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

1 Citation (Scopus)

Abstract

Although a set of competitive learning models have been proposed to benefit students' learning, they are limited in some aspects. Thus, there is a need to investigate other models. In this paper, we propose a self-competition model, in which students use avatars to represent their learning status. In addition, the current statuses of their avatars are further compared with the past statuses of their avatars. Through the self-competition model, students might be benefited.

Original languageEnglish
Title of host publicationEdutainment Technologies
Subtitle of host publicationEducational Games and Virtual Reality/Augmented Reality Applications - 6th International Conference on E-learning and Games, Edutainment 2011, Proceedings
Pages234-235
Number of pages2
DOIs
Publication statusPublished - 2011 Sep 26
Externally publishedYes
Event6th International Conference on E-Learning and Games, Edutainment 2011 - Taipei, Taiwan
Duration: 2011 Sep 72011 Sep 9

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6872 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Conference on E-Learning and Games, Edutainment 2011
CountryTaiwan
CityTaipei
Period11/9/711/9/9

Keywords

  • avatars
  • competition
  • Game-based learning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Chen, Z. H., Chien, T. C., & Chan, T. W. (2011). Using self-competition to enhance students' learning. In Edutainment Technologies: Educational Games and Virtual Reality/Augmented Reality Applications - 6th International Conference on E-learning and Games, Edutainment 2011, Proceedings (pp. 234-235). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6872 LNCS). https://doi.org/10.1007/978-3-642-23456-9_41