Education Sciences (Sep 2023)

AI Course Design Planning Framework: Developing Domain-Specific AI Education Courses

  • Johannes Schleiss,
  • Matthias Carl Laupichler,
  • Tobias Raupach,
  • Sebastian Stober

DOI
https://doi.org/10.3390/educsci13090954
Journal volume & issue
Vol. 13, no. 9
p. 954

Abstract

Read online

The use of artificial intelligence (AI) is becoming increasingly important in various domains, making education about AI a necessity. The interdisciplinary nature of AI and the relevance of AI in various fields require that university instructors and course developers integrate AI topics into the classroom and create so-called domain-specific AI courses. In this paper, we introduce the “AI Course Design Planning Framework” as a course planning framework to structure the development of domain-specific AI courses at the university level. The tool evolves non-specific course planning frameworks to address the context of domain-specific AI education. Following a design-based research approach, we evaluated a first prototype of the tool with instructors in the field of AI education who are developing domain-specific courses in this area. The results of our evaluation indicate that the tool allows instructors to create domain-specific AI courses in an efficient and comprehensible way. In general, instructors rated the tool as useful and user-friendly and made recommendations to improve its usability. Future research will focus on testing the application of the tool for domain-specific AI course developments in different domain contexts and examine the influence of using the tool on AI course quality and learning outcomes.

Keywords