Eliciting User Requirements for AI-Enhanced Learning Environments using a Participatory Approach

TL;DR

This paper identifies user needs and expectations for AI-enhanced learning environments through participatory workshops, providing insights for designing future AI-integrated educational tools.

Contribution

It introduces a participatory approach combining workshops and thematic analysis to elicit detailed user requirements for AI in education.

Findings

Stakeholders' profiles in technical and pedagogical terms

Contradictions between needs and expectations identified

Guidelines for future AI educational design

Abstract

This paper explores the needs and expectations of educational stakeholders for AI (Artificial Intelligence)-enhanced learning environments. Data was collected following two-phased participatory workshops. The first workshop outlined stakeholders' profiles in terms of technical and pedagogical characteristics. The qualitative data collected was analysed using deductive thematic analysis with Activity Theory, explicating the user needs. The second workshop articulated expectations related to the integration of AI in education. Inductive thematic analysis of the second workshop led to the elicitation of users' expectations. We cross-examined the needs and expectations, identifying contradictions, to generate user requirements for emerging technologies. The paper provides suggestions for future design initiatives that incorporate AI in learning environments.