Exploring the effects of discovery learning strategy for location-based historic retrospection mobile game

Shu Wei Liu, Albert C. Wang

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

1 Citation (Scopus)

Abstract

Studies have indicated that location-based games can attain positive learning effects. However, the importance of the instructional design has been mostly overlooked. This paper aims at exploring the effects of discovery learning for location-based historic retrospection game. An experiment was conducted to analyze the learner's achievement and motivation. Discovery learning strategy and rote learning strategy were assigned to the experimental group and the control group respectively. Subjects were randomly assigned to one of the two in small groups of three. A pretest and a posttest were given to evaluate their learning achievement. A questionnaire was also given to investigate the learning motivation resulted from the two different instructional strategies. One month later, a delayed test was given to each group to explore the degree of learning retention. Initial data analyses indicated that different instructional strategies could result in different learning outcomes. We found that although the average learning achievement of discovery learning is not statistically different than that of rote learning, the resulted learning retention is statistically significant between the two groups. We conclude that learned information retains better through discovery learning strategy in a location-based game. This finding should prove valuable for instructional designers of location-based instructional game.

Original languageEnglish
Title of host publicationProceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016
EditorsJ. Michael Spector, Chin-Chung Tsai, Ronghuai Huang, Paul Resta, Demetrios G Sampson, Kinshuk, Nian-Shing Chen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages95-99
Number of pages5
ISBN (Electronic)9781467390415
DOIs
Publication statusPublished - 2016 Nov 28
Event16th IEEE International Conference on Advanced Learning Technologies, ICALT 2016 - Austin, United States
Duration: 2016 Jul 252016 Jul 28

Publication series

NameProceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016

Conference

Conference16th IEEE International Conference on Advanced Learning Technologies, ICALT 2016
CountryUnited States
CityAustin
Period16/7/2516/7/28

Keywords

  • Discovery learning
  • Historic retrospection
  • Location-based game

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Education
  • Computer Networks and Communications
  • Computer Science Applications

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  • Cite this

    Liu, S. W., & Wang, A. C. (2016). Exploring the effects of discovery learning strategy for location-based historic retrospection mobile game. In J. M. Spector, C-C. Tsai, R. Huang, P. Resta, D. G. Sampson, Kinshuk, & N-S. Chen (Eds.), Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016 (pp. 95-99). [7756931] (Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICALT.2016.65