A Framework for the Use of Generative AI for Equity in Community-Based Education (76097)

Session Information: Design, Implementation & Assessment of Innovative Technologies in Education
Session Chair: Mark Rey Santos

Thursday, 23 November 2023 09:50
Session: Session 1
Room: Room 705
Presentation Type: Oral Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

Rapid digital transformation brought by Industry 4.0 and the COVID-19 pandemic underlines the importance of upskilling and lifelong learning. The application of Information and Communication Technologies such as Massive Open Online Courses (MOOCs) and other online training programs have contributed to filling the gap in large scale upskilling and reskilling that is still ill-served by the traditional higher education system. However, most of these learning solutions are presented in generic, standardized format, and are often not well suited to specific needs, especially for more marginalized groups who need them most. New technologies such as generative Artificial Intelligence (AI) have the potential to alleviate these challenges by providing automatic mass personalization of learning, but without appropriate planning may decrease equity due to lack of technology infrastructure accessibility, data and algorithmic bias, as well as other issues. In this paper, we develop a framework for viability assessment, design, implementation, and evaluation of customized generative AI-Based systems to improve equity in community-based learning. The framework emphasizes collaborative design and community-based sustainability of application over time. We use the design of a capacity improvement program for female community health volunteers in Indonesia to illustrate the potential implementation of this framework. We contribute to the literature on technology implementation in education, focusing on fostering personalized learning environment and increasing equity in education.

Authors:
Allya Paramita Koesoema, Institut Teknologi Bandung, Indonesia
Yoke Saadia Swito, IEEE SIGHT Indonesia, Indonesia


About the Presenter(s)
Dr Allya Koesoema is a University Assistant Professor/Lecturer at Institut Teknologi Bandung in Indonesia

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00