Constructing an Artificial-Intelligence Higher Education Environment: Guidelines for the Future

Abstract

The ongoing advancement of artificial intelligence (AI) presents both significant opportunities and challenges for higher education (HE) and for HE institutions. In this chapter, we adopt a constructivist perspective to explore the implications of integrating AI in research, teaching, and learning, with a focus on fostering inclusion and accessibility within the HE environment. We begin by examining the constructivist world view as a theoretical foundation for understanding the role of AI in facilitating knowledge construction and active participatory learning experiences. Next, we address concerns related to the ethical, social, and pedagogical aspects of AI implementation in HE, such as privacy, equity, and the potential for bias in AI algorithms. We then discuss the transformative potential of AI in HE, and its capacity to personalise learning experiences, enhance teaching effectiveness, and improve research methods. To guide the responsible integration of AI in HE, we propose specific actions for research, as well as for teaching and learning. By embracing AI integration with caution, HE institutions can maximise the potential of AI to foster an inclusive, engaging, and transformative learning environment as we move into a constantly changing future.