10.4995/HEAd24.2024.17189">
 

Envisioning AI-powered Learning Stemming from Piloted Personalized Education

Document Type

Conference Proceeding

Publication Date

6-18-2024

Abstract

Learning systems can potentially transform education and training by allowing educators to encourage behavioural changes and internalization of concepts in learners. This paper introduces such an AI-powered model for a personalized learning system, building on our success of hand-curated learning paths to support individualized education. We utilize a network science approach as a construct to create an environment that is supportive of an individualized learning process, presenting an AI-powered framework. This framework is informed by student and faculty interactions with two custom created learning systems, experiences that shaped goals and expectations of the proposed AI-powered method since 2018. This paper contributes to advancing the conversation around AI-powered learning systems and personalizing educational experiences. Our AI-powered model engages learners in their educational journey through individualized and adaptive learning paths, while meeting each learners’ specific learning outcomes. We conclude with open research problems that surfaced from this vision.

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This is an Open Access conference paper published and distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. CC BY-NC-ND 4.0

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Source Publication

10th International Conference on Higher Education Advances (HEAd’24) (ISSN 2603-5871)

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