Multiple Intelligences and Digital Learning Game Design
| Autor: | Pejman Sajjadi, Olga De Troyer |
|---|---|
| Přispěvatelé: | Zheng, Robert Z., Web and Information System Engineering, Informatics and Applied Informatics |
| Rok vydání: | 2022 |
| Předmět: |
Personalization
010308 nuclear & particles physics Computer science Multiple intelligences 05 social sciences Theory of multiple intelligences ComputingMilieux_PERSONALCOMPUTING 050301 education 01 natural sciences leaning games Game design Human–computer interaction 0103 physical sciences Digital learning 0503 education |
| DOI: | 10.4018/978-1-6684-3710-0.ch018 |
| Popis: | Empirical research that draws a framework on how the theory of MI could be incorporated in (learning) games is non-existent. Furthermore, the theory of MI fits well into the concept of individualization, as it distinguishes between individuals in terms of their abilities. In light of this, the chapter reports on the first evidence-based set of mappings between this theory and fundamental constructs of games known as mechanics. These mappings can be utilized by designers in the individualization paradigm of player-centered game design as guidelines on what mechanics to include in their design when targeting an audience with specific MI profiles. Such individualization can potentially positively affect the game experience of players while establishing the proper frame for affecting learning. As such, these mappings, available in form of a recommendation tool, act as guidelines on how to design (learning) games while considering the intelligences of the target audience. |
| Databáze: | OpenAIRE |
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