A Functional Taxonomy for EdTech Integration

Chin, Jeannette and Leist, Eleanor (2026) A Functional Taxonomy for EdTech Integration. In: The 24th IEEE International Conference on Industrial Informatics, 2026-07-26 - 2026-07-29, Novotel Melbourne on Collins.

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Abstract

The definition of Educational Technology has undergone a profound transformation, evolving from the process-oriented frameworks of the 1977 AECT definitions to a modern, tool-centric synthesis that has blurred the boundary with ”Technology in Education”. In the post-AI landscape of the 2020s, the integration of systems like Generative AI and immersive simulations for industrial electronics education has shifted the focus toward technology as an active springboard for knowledge application. However, this convergence often obscures the socio-technical structures educators must navigate, necessitating a deeper investigation into the functional role of technology in fostering teacher agency. This study investigates a multidimensional functional taxonomy of Educational Technology through the lens of agency, utilising empirical data from the UK Department for Education (DfE) Technology in Schools Survey (TiSS) across primary and secondary education. Employing a deductive-inductive synthesis methodology grounded in the theoretical foundations of the AECT domains and the ”Chordal Triad” of agency, comprising Habit, Judgment, and Imagination, the paper successfully constructed a four-layer EdTech classification. The taxonomy effectively distinguishes between technology as ”Institutional Infrastructure” (the material and normative baseline) and ”Pedagogical Learning Design” (the site of active practitioner agency). The next phase of this research aims to validate this functional taxonomy through a global body of evidence.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	edtech integration,functional taxonomy,agency,technology in education
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Data Science and AI Faculty of Science > Research Groups > Cyber Intelligence and Networks
Depositing User:	LivePure Connector
Date Deposited:	19 May 2026 15:24
Last Modified:	19 May 2026 15:24
URI:	https://ueaeprints.uea.ac.uk/id/eprint/103111
DOI:

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