Addanki, Kranthi, and Linda, Corrin (2023) Unveiling the potential of Digital Twin technology for Higher Education. In: ASCILITE 2023 Conference Proceedings: People, Partnerships and Pedagogies. From: ASCILITE 2023: 40th International Conference on Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education, 3-6 December 2023, Christchurch, New Zealand.

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Abstract

The concept of the Digital Twin (DT), a digital replica of a physical object or process, is relatively new to the higher education context. The increase in the application of DT technology across many industries has prompted the call for greater exploration of the possibilities for DTs in education along with a consideration of the challenges to their implementation. There are also questions being raised about the opportunity to develop DTs of learners to extend the use of data to inform learning and teaching, which has been boosted by the recent rise of learning analytics and educational data mining. In this paper we will explore what DT technology is and offer a new definition of DTs that can be used in the educational context. Current uses and the potential future applications will be explored, as well as consideration of what is necessary to build DTs of learners (and educators). The use of DT technology also poses many challenges due to the complexity of DT design and application, and these will be outlined. The paper concludes with a discussion of future directions and areas where more research is needed to fully explore the potential of DT for higher education.

Item ID:	83273
Item Type:	Conference Item (Research - E1)
Keywords:	Digital Twins, Higher Education, Personalisation, Optimisation
Copyright Information:	This work is licensed under a Creative Commons Attribution 4.0 International License.
Date Deposited:	29 Jul 2024 23:51
FoR Codes:	46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460299 Artificial intelligence not elsewhere classified @ 80% 39 EDUCATION > 3903 Education systems > 390303 Higher education @ 20%
SEO Codes:	16 EDUCATION AND TRAINING > 1601 Learner and learning > 160102 Higher education @ 20% 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220403 Artificial intelligence @ 80%
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