Understanding the Possibilities and Conditions for Instructor-AI Collaboration in Entrepreneurship Education

Mamun Ala (), Mulyadi Robin (), Tareq Rasul and Danilo Wegner ()
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Mamun Ala: Australian Institute of Business
Mulyadi Robin: Australian Institute of Business
Danilo Wegner: The University of Sydney

Chapter 7 in Technology and Entrepreneurship Education, 2022, pp 159-185 from Springer

Abstract: Abstract This chapter discusses the expected learning outcomes in entrepreneurship education, including creativity, innovation, industry-specific knowledge, decision-making, risk-taking, problem-solving, leadership qualities, ethics, and social responsibility. It examines whether the conventional entrepreneurial curriculums successfully contribute to the academic and social goals. It also presents a discussion on why the recent socio-cultural, technological, and pandemic-related changes, including mass digitalization, working remotely, asynchronicity, and global communities of practice, demand new approaches to post-secondary entrepreneurship education. It further explores artificial intelligence (AI), such as the virtual classroom, AI tutor, interactive smart boards, augmented reality (AR), virtual reality (VR), simulation, and big data systems as a disruptive technology in education. While computer systems with ‘intelligence’ are already performing many tasks that were commonly associated with humans, there are growing interests, concerns, and uncertainty regarding the wider application of AI in education. A discussion on the trends in AI adoption in education and how AI is likely to reshape curriculums, teaching, and assessment, as well as its impacts on teaching and learning, is considered. Furthermore, it explores the enormous potential of AI specifically in entrepreneurship education. A rich discussion is presented on the possibilities and conditions for an effective instructor-AI collaboration that can make an important contribution to entrepreneurship education, such as the curriculums, instruction, assessment, and feedback. An instructor-AI collaboration has the potential to improve pedagogical practices, learner motivation, and engagement, which are critical to achieving learning outcomes. The chapter concludes with the argument that while integrating AI in entrepreneurship education is capital intensive, it is worth investing in AI as it facilitates the progress of learners by providing them with customized learning support without unduly limiting individual choice.

Keywords: Artificial intelligence; Entrepreneurship education; Learning outcomes; Learner autonomy; Instructor-AI collaboration (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-030-84292-5_7

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