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Bridging Student Expectations and Instructor Capacity: Leveraging General Artificial Intelligence to Enhance Quality Online Learning

Nicole L. Weber, Kristen Gay

Innovations in Pedagogy and Technology · 64-78 · 10.63385/ipt.v2i4.100771

This study centers student perspectives on quality digital, blended, and online learning through a secondary qualitative analysis of panel data originally collected by the Online Learning Consortium and Every Learner Everywhere. Drawing on transcripts from four student panels featuring twelve learners from diverse academic and i

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Students’ Experiences of Group Work in an Online Early Childhood Education Course

Reem Thani AlDhaheri

Innovations in Pedagogy and Technology · 53-63 · 10.63385/ipt.v2i4.100709

Groupwork is one of the learning strategies used by educators to engage university students in active learning. University students, however, often perceive group work as overwhelming and as extra work. There is a need to investigate how students perceive working in groups in online learning environments, particularly in the con

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