Work-in-Progress—Exploring Model Based Automated Response Systems to Enhance Student Outcomes

Abstract

The advancement of Artificial Intelligence (AI) has sparked great excitement and expectation of its use in education. Integral to that is the idea of an Automated Response System (ARS). Huge strides have been made in the adaption of ARS in education, although a suitable theoretical framing has yet to be explored, especially in the context of designing an ARS. A previous proposal to use the community of inquiry (CoI) model was presented, but a case could be made that the link between the perception, attitudes and outcomes could be much better explored as part of the design. Hence, a different approach involving the technology acceptance model (TAM) model is explored in this paper toward its use to design an ARS to help statistics students better meet a more holistic learning outcome.