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Direct linkZhu 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
Download full textNusaibah Dakamsih; Mo’tasim-Bellah Alshunnag; Azel Alkayid – Educational Process: International Journal, 2025
Background/Purpose: This study investigates the pedagogical potential of AI-generated images to enhance student engagement and critical analysis in world literature curricula. Grounded in Reader-Response Theory, it explores how algorithmic visuals impact student interpretation, addressing a gap in understanding technology's role in fostering…
Descriptors: Undergraduate Students, Russian Literature, English Literature, Literary Genres
Hu, Yang – ProQuest LLC, 2019
In this dissertation, the author presents two projects regarding teaching strategies that apply to an intelligent tutoring system (ITS). The author applied multiple-solution teaching methods to the ITSs. The first project is an ITS that aims to help college students learn how to use Computer-Aided-Design (CAD) software, FreeCAD ITS. The second…
Descriptors: Instructional Effectiveness, Intelligent Tutoring Systems, Teaching Methods, Computer Assisted Design
