Human-centred artificial intelligence in progressive education : unravelling the benefits and challenges in Qatar’s HEIs
Jansen, Bernard J. and Jung, Soon-gyo and Farooq, Ali and Salminen, Joni and Aldous, Kholoud and Msefula, Pilira Stella and Alabed, Amani and Khan, Salar M. and O'Kennedy, Richard; Zaidan, Esmat and Tok, Evren and Al-Fadala, Asmaa and Cochrane, Logan, eds. (2025) Human-centred artificial intelligence in progressive education : unravelling the benefits and challenges in Qatar’s HEIs. In: The Future of Educaiton Policy in the State of Qatar. Gulf Studies . Springer, Singapore, pp. 105-126. ISBN 9789819796670 (https://doi.org/10.1007/978-981-97-9667-0_6)
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Abstract
Algorithmically generated personas (AGPs) can provide actionable insights into the needs, preferences, and behaviours of stakeholders, including Applicants, Students, Alumni, Faculty, and Staff (ASAFS) for progressive education at higher education institutes (HEIs) in Qatar. AGPs empower data-based decision-making, and contribute to progressive education by representing stakeholders in an empathic format. This chapter sheds light on the pivotal role of alumni, showing how the innovative approach of using personas enables the “beyond education” concept, while providing strategic foresight for HEIs in Qatar. Machine learning models can generate AGPs as humanised representations of these key stakeholders. Building on our multi-year experience in studying AGPs, we argue that these personas can significantly aid HEI decision-makers in designing more learner-centred and inclusive curricula, pedagogy, and assessment via empathic understanding. While AGPs have been prevalent in marketing or design, their potential remains largely unexplored in HEIs.
ORCID iDs
Jansen, Bernard J., Jung, Soon-gyo, Farooq, Ali
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Item type: Book Section ID code: 92709 Dates: DateEvent12 April 2025Published11 April 2025Published OnlineSubjects: Education > Theory and practice of education > Higher Education
Science > Mathematics > Electronic computers. Computer scienceDepartment: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 28 Apr 2025 16:01 Last modified: 30 Apr 2025 00:53 URI: https://strathprints.strath.ac.uk/id/eprint/92709