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Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions
March 25, 2024, 4:41 a.m. | Richard Tong, Haoyang Li, Joleen Liang, Qingsong Wen
cs.LG updates on arXiv.org arxiv.org
Abstract: The adoption of Artificial Intelligence in Education (AIED) holds the promise of revolutionizing educational practices by offering personalized learning experiences, automating administrative and pedagogical tasks, and reducing the cost of content creation. However, the lack of standardized practices in the development and deployment of AIED solutions has led to fragmented ecosystems, which presents challenges in interoperability, scalability, and ethical governance. This article aims to address the critical need to develop and implement industry standards in …
abstract adoption artificial artificial intelligence arxiv challenges cost cs.ai cs.cy cs.lg education educational future however industry intelligence personalized practices standards strategies tasks type
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