The Effectiveness Evaluation among Different Player-Matching Mechanisms in a Multi-Player Quiz Game

Autor/in	Tsai, Fu-Hsing
Titel	The Effectiveness Evaluation among Different Player-Matching Mechanisms in a Multi-Player Quiz Game
Quelle	In: Educational Technology & Society, 19 (2016) 4, S.213-224 (12 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1436-4522
Schlagwörter	Educational Technology; Technology Uses in Education; Scoring; Computer Games; Simulated Environment; Teaching Methods; Program Effectiveness; Pretests Posttests; Control Groups; Experimental Groups; High School Students; Foreign Countries; Student Attitudes; Likert Scales; Competition; Energy; Taiwan + Suchen Sie Ihr Suchwort? Unterrichtsmedien; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Bewertung; Computer game; Computerspiel; Computerspiele; Künstliche Umwelt; Teaching method; Lehrmethode; Unterrichtsmethode; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; Ausland; Schülerverhalten; Likert-Skala; Wettkampf; Energie
Abstract	This study aims to investigate whether different player-matching mechanisms in educational multi-player online games (MOGs) can affect students' learning performance, enjoyment perception and gaming behaviors. Based on the multi-player quiz game, TRIS-Q, developed by Tsai, Tsai and Lin (2015) using a free player-matching (FPM) mechanism, the same game, but incorporating an automatic player-matching (APM) mechanism and Elo rating system, was developed in order to compare its effectiveness with the original TRIS-Q. The research findings indicate that students using this new player-matching mechanism of TRIS-Q acquired more knowledge of energy, experienced more enjoyment and exhibited more favorable gaming behaviors than did the students using the original TRIS-Q with FPM mechanism. Besides, after comparing the other TRIS-Q with APM mechanism, but using an automatic random player-matching mechanism, this study found that using Elo scoring for automatic matching was the more favorable player-matching mechanism in educational MOGs. (As Provided).
Anmerkungen	International Forum of Educational Technology & Society. Athabasca University, School of Computing & Information Systems, 1 University Drive, Athabasca, AB T9S 3A3, Canada. Tel: 780-675-6812; Fax: 780-675-6973; Web site: http://www.ifets.info
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01