The four business models for AI adoption in education: Giving leaders a destination for the digital transformation journey
The four business models for AI adoption in education: Giving leaders a destination for the digital transformation journey
Effective digital transformation requires new technology to work in harmony with the people towards a common goal. All the universities do not have the same capabilities currently across these three parameters and may not be able, or willing, to develop them in the same way. Therefore, several alternative models conducive to digital transformation and AI adoption must be identified. A university must not have to go on this journey without a roadmap. There should be several education business models that optimize AI adoption to choose from. Identifying the destination in advance reinforces the trust between the digital transformation leader and the followers. This research identifies four education business models that are optimized for AI. The first is focus and disaggregate. The second is to keep the existing model but enhance it with AI. The third is an educator expanding beyond their current model and the fourth is a disruptor entering education.
digital transformation, artificial intelligence, education, business model
1866-1870
Zarifis, Alex
7622e840-ba78-4a4f-879b-6ba0f62363cc
Efthymiou, Leonidas
36b93a78-13a0-4cfe-af14-39a2716659e1
11 May 2022
Zarifis, Alex
7622e840-ba78-4a4f-879b-6ba0f62363cc
Efthymiou, Leonidas
36b93a78-13a0-4cfe-af14-39a2716659e1
Zarifis, Alex and Efthymiou, Leonidas
(2022)
The four business models for AI adoption in education: Giving leaders a destination for the digital transformation journey.
Kallel, Ilhem, Kammoun, Habib M. and Hsairi, Lobna
(eds.)
In Proceedings of the IEEE Global Engineering Education Conference (EDUCON 2022).
IEEE.
.
(doi:10.1109/EDUCON52537.2022.9766687).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Effective digital transformation requires new technology to work in harmony with the people towards a common goal. All the universities do not have the same capabilities currently across these three parameters and may not be able, or willing, to develop them in the same way. Therefore, several alternative models conducive to digital transformation and AI adoption must be identified. A university must not have to go on this journey without a roadmap. There should be several education business models that optimize AI adoption to choose from. Identifying the destination in advance reinforces the trust between the digital transformation leader and the followers. This research identifies four education business models that are optimized for AI. The first is focus and disaggregate. The second is to keep the existing model but enhance it with AI. The third is an educator expanding beyond their current model and the fourth is a disruptor entering education.
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The four business models for AI adoption in education Giving leaders a destination for the digital transformation journey PrePrint
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Published date: 11 May 2022
Keywords:
digital transformation, artificial intelligence, education, business model
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Local EPrints ID: 490235
URI: http://eprints.soton.ac.uk/id/eprint/490235
ISSN: 2165-9567
PURE UUID: d5426693-5e7e-4db4-8262-3d8f4980d243
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Date deposited: 20 May 2024 17:42
Last modified: 06 Jun 2024 02:21
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Contributors
Author:
Alex Zarifis
Author:
Leonidas Efthymiou
Editor:
Ilhem Kallel
Editor:
Habib M. Kammoun
Editor:
Lobna Hsairi
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