Gamified learning experiences use game mechanics and structures in curriculum and learning activities to engage students with content and scaffold toward intended learning outcomes. Using the domains of Bloom’s taxonomy of learning in the cognitive domain to explore the possible relationship between games and learning for application to university learning, links can be made between thinking skills and game types. This paper describes the development of the Gamification Alignment Table and the Gamification Alignment Model, how these were used to design a gamified learning experience (GLE) for the intended student learning outcomes at the first-year undergraduate level, and how they could be used at master’s level with different available in-game choices. The Gamification Alignment Table allows learning designers to identify how the pedagogical lexicon matches to existing features of games and therefore can be easily transformed into GLEs. In the Gamification Alignment Model, the six levels of knowledge in the cognitive domain, with pedagogical verbs used by educators and learning designers in planning and designing GLEs, are paired with game types involving different sorts of learning activities. The concept explored in the example GLE in this paper was the accounting and finance threshold concept of the time value of money. This research provides a further link between Bloom’s levels and the Australian Qualifications Framework levels, and the comparable European Qualifications Framework levels. This novel mapping provides rationale for the linking of game design and learning outcomes and will be of interest to educational designers, as well as academics, with a learning focus.
Dataset
Aligning Gamified Learning Experiences to Learning Outcomes
University of the Sunshine Coast
2024
DOI:
https://doi.org/10.25907/00887
Appears in UniSC Research Data Collection
DataCC BY V4.0, Open Access
DataCC BY V4.0, Open Access
Abstract
Details
- Title
- Aligning Gamified Learning Experiences to Learning Outcomes
- Authors
- Kayleen Wood (Corresponding Author) - Southern Cross UniversitySteve Drew (Author) - Griffith University
- Format
- 2 MS Excel files; total 198 KB
- Publisher
- University of the Sunshine Coast
- Date collected
- 01-Nov-2017–31-Dec-2019
- Date published
- 2024
- DOI
- 10.25907/00887
- Organisation Unit
- Centre for Support and Advancement of Learning and Teaching
- Language
- English
- Record Identifier
- 991087098202621
- Output Type
- Dataset
Metrics
11 File views/ downloads
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