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Jewoong Moon; Yeonji Jung; Haesol Bae; Unggi Lee; Keunjae Kim – Innovations in Education and Teaching International, 2025
This multi-case study investigates how AI chatbots enhance asynchronous learning by fostering critical ideation, structured argumentation, and collaborative knowledge construction across three U.S. higher education institutions. Drawing on a socio-material perspective, we examine the socio-material assemblages formed through interactions between…
Descriptors: Higher Education, Artificial Intelligence, Intelligent Tutoring Systems, Asynchronous Communication
Yasemin Copur-Gencturk; Jingxian Li; Sebnem Atabas – American Educational Research Journal, 2024
Scalable and accessible professional development programs have the potential to address the opportunity gap many teachers experience. Yet many asynchronous online programs lack interaction with and timely feedback to teachers. We addressed this problem by developing a virtual, interactive program that uses intelligent tutoring systems to provide…
Descriptors: Artificial Intelligence, Faculty Development, Individualized Instruction, Interaction
Sharma, Ramesh C., Ed. – IGI Global, 2018
New tools and technologies are being developed to cater to the e-learning triangle of content, technology, and services. These developments (in technology, needs of students, emergence of new modes of education like MOOCs or flipped classrooms, etc.) have resulted in a change in the approach to teaching. "Innovative Applications of Online…
Descriptors: Educational Innovation, Electronic Learning, Online Courses, Instructional Design

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