Artificial intelligence practices in higher education using Bloom's digital taxonomy

Montathar Faraon, Veronica Granlund, Kari Rönkkö

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Abstract

Artificial intelligence (AI) has gained attention as one of the emerging fields in educational technology. The growing body of AI research has focused primarily on technological perspectives and less focus has been given to facilitate the development of AI-driven practices in higher education. In this article, we explore and provide insights together with practical examples into how AI through flexible adaptation could be integrated as practices in higher education using Bloom's digital taxonomy as an educational model. The resulting operationalization is presented in the form of six practices that provide a basis for discussing how AI-powered innovations can be used in higher education.
Original languageEnglish
Pages53-59
Number of pages7
DOIs
Publication statusPublished - 2024-Apr-18
EventInternational Workshop on Artificial Intelligence and Education - Tokyo, Japan
Duration: 2023-Sept-282023-Sept-30
Conference number: 5
https://www.waie.org

Conference

ConferenceInternational Workshop on Artificial Intelligence and Education
Abbreviated titleWAIE
Country/TerritoryJapan
CityTokyo
Period23-09-2823-09-30
Internet address

Swedish Standard Keywords

  • Human Computer Interaction (10204)

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