Using no-code AI to teach machine learning in higher education

Previous research highlights the importance of preparing students to work in environments characterized by a high use of emergent technologies such as AI.

As AI is commonly associated with technical professions, such as computer science and engineering, incorporating training in use of ML into non-technical educational programs, such as social sciences, is challenging.To address this issue, we explore the potential utility of “no-code” AI platforms.

In contrast to conventional AI systems these platforms can be readily used in educational contexts as they are easy-to-use and they guide users through the process of developing and deploying AI models, with no need to learn all about how algorithms work.However, the literature on the use of no-code AI is scarce, and these tools have achieved little to no attention in literature on higher education.

Nevertheless, we have gotten in touch with fellow researchers who use these tools in both research and education.

Thus, the purpose of this application is to arrange three workshops with these colleagues to create a cumulative body of knowledge on this novel and emerging phenomenon.

The market for these platforms is rapidly changing, and suppliers are currently integrating large language models (LLM) such as ChatGPT in their systems, and we expect these systems to be at the forefront in future AI development. Thus, it is vital to generate knowledge on how they can be used, including potential benefits, challenges and risks.