Literaturnachweis - Detailanzeige
Autor/in | Langenhagen, Julian |
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Titel | Data-Driven Goal Setting: Searching Optimal Badges in the Decision Forest [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (EDM) (15th, Durham, United Kingdom, Jul 24-27, 2022). |
Quelle | (2022), (7 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Monographie |
Schlagwörter | Data Analysis; Goal Orientation; Computer Software; Game Based Learning; Incentives; Higher Education; Educational Technology; Teaching Methods; Comparative Analysis; Learning Motivation; Undergraduate Students; Accounting; State Universities; Computer Games; Foreign Countries; Europe Auswertung; Zielorientierung; Zielvorstellung; Anreiz; Hochschulbildung; Hochschulsystem; Hochschulwesen; Unterrichtsmedien; Teaching method; Lehrmethode; Unterrichtsmethode; Motivation for studies; Lernmotivation; Abrechnung; Buchführung; Buchhaltung; Staatliche Universität; Computer game; Computerspiel; Computerspiele; Ausland; Europa |
Abstract | Although badges are among the most-used game elements in gamified education, studies about their optimal features to motivate learning are scarce. How should a badge be designed to represent an incentive for a specific goal like optimal exam preparation? This study examines usage data of a higher education learning app to determine whether the used badges have the intended motivational effect. The preliminary results suggest that the badges that were initially implemented in the app have the intended effect in most cases, but the stages of the multi-level badges could be optimized. The methodological framework used in this study can be transferred to usage data of other similar learning tools. With the help of easy-to-interpret outputs of decision trees, researchers and practitioners alike can work towards an optimal badge design. [For the full proceedings, see ED623995.] (As Provided). |
Anmerkungen | International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: https://educationaldatamining.org/conferences/ |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |