Game penalties decrease learning and interest

Matthew W. Easterday; Yelee Jo

doi:10.1007/978-3-642-39112-5_113

Game penalties decrease learning and interest

Matthew W. Easterday, Yelee Jo

School of Education and Social Policy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Penalties are frequently used in games and rarely in tutors, creating a dilemma for designers seeking to combine games and tutors to maximize fun and learning. On the one hand, penalties can be frustrating and waste instructional time, on the other, they may increase excitement and prevent gaming. This study tested the effects of penalties on learning and interest. In a randomized, controlled experiment with a two-group, between subjects design, 100 University students played two versions of a game with an embedded tutor, with and without penalties that forced students to replay parts of the game. Results showed that penalties decreased learning and interest. These findings suggest a minimize penalties principle for designing cognitive games.

Original language	English (US)
Title of host publication	Artificial Intelligence in Education - 16th International Conference, AIED 2013, Proceedings
Publisher	Springer Verlag
Pages	787-790
Number of pages	4
ISBN (Print)	9783642391118
DOIs	https://doi.org/10.1007/978-3-642-39112-5_113
State	Published - 2013
Event	16th International Conference on Artificial Intelligence in Education, AIED 2013 - Memphis, TN, United States Duration: Jul 9 2013 → Jul 13 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7926 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	16th International Conference on Artificial Intelligence in Education, AIED 2013
Country/Territory	United States
City	Memphis, TN
Period	7/9/13 → 7/13/13

Keywords

Educational games
Intelligent tutoring
Penalties
Serious games

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-39112-5_113

Cite this

Easterday, M. W., & Jo, Y. (2013). Game penalties decrease learning and interest. In Artificial Intelligence in Education - 16th International Conference, AIED 2013, Proceedings (pp. 787-790). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7926 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-642-39112-5_113

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title = "Game penalties decrease learning and interest",

abstract = "Penalties are frequently used in games and rarely in tutors, creating a dilemma for designers seeking to combine games and tutors to maximize fun and learning. On the one hand, penalties can be frustrating and waste instructional time, on the other, they may increase excitement and prevent gaming. This study tested the effects of penalties on learning and interest. In a randomized, controlled experiment with a two-group, between subjects design, 100 University students played two versions of a game with an embedded tutor, with and without penalties that forced students to replay parts of the game. Results showed that penalties decreased learning and interest. These findings suggest a minimize penalties principle for designing cognitive games.",

keywords = "Educational games, Intelligent tutoring, Penalties, Serious games",

author = "Easterday, {Matthew W.} and Yelee Jo",

note = "Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 16th International Conference on Artificial Intelligence in Education, AIED 2013 ; Conference date: 09-07-2013 Through 13-07-2013",

year = "2013",

doi = "10.1007/978-3-642-39112-5_113",

language = "English (US)",

isbn = "9783642391118",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Artificial Intelligence in Education - 16th International Conference, AIED 2013, Proceedings",

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Easterday, MW & Jo, Y 2013, Game penalties decrease learning and interest. in Artificial Intelligence in Education - 16th International Conference, AIED 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7926 LNAI, Springer Verlag, pp. 787-790, 16th International Conference on Artificial Intelligence in Education, AIED 2013, Memphis, TN, United States, 7/9/13. https://doi.org/10.1007/978-3-642-39112-5_113

Game penalties decrease learning and interest. / Easterday, Matthew W.; Jo, Yelee.
Artificial Intelligence in Education - 16th International Conference, AIED 2013, Proceedings. Springer Verlag, 2013. p. 787-790 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7926 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Game penalties decrease learning and interest

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