Data management of AI-powered education technologies

Challenges and opportunities

Authors

  • Hassan Khosravi The University of Queensland
  • Shazia Sadiq The University of Queensland, Brisbane, Australia
  • Sihem Amer-Yahia CNRS, Universit√© Grenoble Alpes, Grenoble, France

DOI:

https://doi.org/10.59453/XLUD7002

Keywords:

AI in education, data management, educational technologies

Abstract


The use of AI-powered educational technologies (AI-EdTech) offers a range of advantages to students, instructors, and educational institutions. While much has been achieved, several challenges in managing the data underpinning AI-EdTech are limiting progress in the field. This paper outlines some of these challenges and argues that data management research has the potential to provide solutions that can enable responsible and effective learner-supporting, teacher-supporting, and institution-supporting AI-EdTech. Our hope is to establish a common ground for collaboration and to foster partnerships among educational experts, AI developers and data management researchers in order to respond effectively to the rapidly evolving global educational landscape and drive the development of AI-EdTech.

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Published

13-08-2023

How to Cite

Khosravi, H., Sadiq, S., & Amer-Yahia, S. (2023). Data management of AI-powered education technologies: Challenges and opportunities. Learning Letters, 1, 2. https://doi.org/10.59453/XLUD7002

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Section

Articles