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ERIC Number: ED624029
Record Type: Non-Journal
Publication Date: 2022
Pages: 7
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: N/A
Available Date: N/A
Data-Driven Goal Setting: Searching Optimal Badges in the Decision Forest
Langenhagen, Julian
International Educational Data Mining Society, Paper presented at the International Conference on Educational Data Mining (EDM) (15th, Durham, United Kingdom, Jul 24-27, 2022)
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.]
International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: https://educationaldatamining.org/conferences/
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Europe
Grant or Contract Numbers: N/A
Author Affiliations: N/A