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Zhu Zhu; Yingying Ren; An ran Shen – Education and Information Technologies, 2025
Current educational trends leverage artificial intelligence (AI) to provide high-quality teaching and enhance students' learning competitiveness. This study aimed to evaluate the acceptance of artificial intelligence generated content (AIGC) for assisted learning and design creation among art and design students. Based on an extended technology…
Descriptors: Artificial Intelligence, Computer Assisted Design, Computer Assisted Instruction, Art Education
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Andy Nguyen; Anh Thi Duong; Diep Thi Bich Nguyen; Van Thi Thanh Lai; Belle Dang – Information and Learning Sciences, 2025
Purpose: The rapid advancement and widespread adoption of generative artificial intelligence (GenAI) in education have significantly impacted learning, teaching and assessment practices. This development has raised critical questions about necessary changes to learning design and traditional assessment methods for a society where GenAI becomes…
Descriptors: Artificial Intelligence, Instructional Design, Public Policy, Educational Policy
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Roshan Lal Neupane; Prasad Calyam; Songjie Wang; Kiran Neupane; Ashish Pandey; Xiyao Cheng; Durbek Gafurov; Hemanth Sai Yeddulapalli; Noah Glaser; Kanu Priya Singh; Yuanyuan Gu; Shangman Li; Sharan Srinivas – IEEE Transactions on Learning Technologies, 2024
Cloud-hosted services are being increasingly used in hosting business and scientific applications due to cost-effectiveness, scalability, and ease of deployment. To facilitate rapid development, change and release process of cloud-hosted applications, the area of development and operations (DevOps) is fast evolving. It is necessary to train the…
Descriptors: Online Courses, Computer Assisted Instruction, Learning Management Systems, Computer Assisted Design