Artificial intelligence in business curriculum: The pedagogy and learning outcomes. Issue 3 (November 2021)

• Record Type: Journal Article
• Authors: Xu, Jennifer J.; Babaian, Tamara
• Is Part Of: International journal of management education. Volume 19:Issue 3(2021)
• Publication Date: 2021-11
• Subjects: Artificial intelligence -- AI-Ready workforce -- Business curricula -- Curriculum design -- Learning outcomes; Business education -- Periodicals; Management -- Study and teaching (Higher) -- Periodicals; 650.0711
• DOI: 10.1016/j.ijme.2021.100550
• Languages: English
• ISSNs: 1472-8117

Abstract

Abstract: Artificial intelligence is rapidly reshaping the technological landscape, becoming an important component of work processes and decision-making in many domains. However, AI education has yet to catch up with the challenge of introducing this complex and very important area of technology to audiences beyond the students of computing and engineering disciplines. This is not surprising, given the lack of materials for and experience in teaching AI for non-technical audiences. In this paper we present the challenges in developing an AI course in business schools and propose a curriculum for a graduate-level business course in AI, which balances AI fundamentals with the latest developments in the field. We discuss our choices and present the results of a study, examining students' experiences, learning outcomes, and perceptions regarding the course. We offer practical guidelines for the curriculum design that other educators may adopt in designing their AI training courses.