Work

How to select the right AI tool for the job? An Autonomy-values framework for educational AI with a focus on academic advising

Year: 2025

Type: article

Abstract: This study presents an Autonomy-values framework for analysing, designing, and selecting AI academic advising systems. Through focus groups with advisors using Nominal Group Technique, we identified contextually specific values that were then generalised using Legitimation Code Theory's Autonomy lens. The resulting framework maps advising values across four positions: Student-Centred, Advisor-Centred, Institution-Centred, and Social-Centred. By combining values-sensitive design with LCT Autonomy, this work advances knowledge on human-centred approaches to AI implementation in academic advising and broader educational contexts.

Source: Ubiquity Proceedings

DOI: 10.5334/uproc.205

Authors: Jan Petrus Bosman, Wim Van Petegem, Tinne De Laet, Nompilo Tshuma

Institutions: Stellenbosch University, KU Leuven

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: diamond

OpenAlex ID: W4413968338