Addanki, K. (2026) Academagogy design principles for integrating AI to personalise adult learner experiences in blended learning. In: HERDSA 2026 Conference Poster Abstract Book. LTP518. From: HERDSA 2026: Higher Education Research and Development Society of Australasia Annual Conference, 6-9 July 2026, Singapore.

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Abstract

Aim: This poster presents findings from a doctoral research project examining how academagogy, a learner-centred teaching model, can inform AI-based personalisation to support adult learners.

Background: Academagogy promotes personalised learning through scholarly leadership of educators (Winter et al., 2009), yet its application remains underexplored in blended learning.

Description: This study investigated how academagogy theory can be translated into design principles to inform AI-supported personalisation within a university-level Information Technology subject delivered through Blackboard system (Addanki, 2023).

Item ID:	92855
Item Type:	Conference Item (Abstract / Summary)
Related URLs:	Organisation
Date Deposited:	26 Aug 2026 00:01
FoR Codes:	46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460299 Artificial intelligence not elsewhere classified @ 70% 39 EDUCATION > 3901 Curriculum and pedagogy > 390113 Science, technology and engineering curriculum and pedagogy @ 30%
SEO Codes:	16 EDUCATION AND TRAINING > 1601 Learner and learning > 160102 Higher education @ 40% 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220403 Artificial intelligence @ 60%
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