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Jill E. Stefaniak; Stephanie L. Moore – Online Learning, 2024
Generative AI presents significant opportunities for instructional designers to create content and personalize online learning environments. Alongside its benefits, generative AI also poses ethical considerations and potential risks, such as perpetuating biases or disrupting the learning process. Navigating these complexities requires an approach…
Descriptors: Artificial Intelligence, Inclusion, Electronic Learning, Technology Uses in Education
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Gogus, Aytac – Online Learning, 2023
Offering online courses can be seen as a way of enhancing the three essential "presences" (teaching, cognitive, and social) of the Community of Inquiry (CoI) model. Creating and enhancing cognitive, teaching, and social presences require an innovation for teachers during planning, implementing, and evaluating their online courses. As…
Descriptors: Online Courses, Electronic Learning, Learning Experience, Cognitive Processes
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Mehall, Scott – Online Learning, 2020
Despite extensive studies surrounding the topic of interaction in online learning, faculty are often still relegated to an attempt at replicating their face-to-face course interactions in the online environment. Interpersonal interaction is a necessary yet nebulous concept in online learning. This paper attempts to build a quality lens to view…
Descriptors: Interaction, Online Courses, Educational Technology, Interpersonal Relationship
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Heckman, Robert; Østerlund, Carsten S.; Saltz, Jeffrey – Online Learning, 2015
This paper explores how blended learning can enhance learning at the boundary between academia and industry, and make possible the design of a new kind of internship. Boundary theory proposes that socio-cultural discontinuities between different environments create opportunities for learning. Blended learning pedagogy makes it possible to make the…
Descriptors: Internship Programs, Blended Learning, Education Work Relationship, Educational Principles