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DeSantis, Joshua – College Teaching, 2023
Rooted in the Greek tradition of Socrates and Aristotle, debate pedagogy utilizes the interpersonal 'heat' that comes with a clash in opinions to engage students in learning. Well-structured classroom debates can engage students, give them agency in their learning, and challenge them to view the layered perspectives that lie under the surface of…
Descriptors: Learner Engagement, Debate, Asynchronous Communication, Computer Mediated Communication
Choi, Aeran; Hand, Brian – International Journal of Science and Mathematics Education, 2020
This study examines how grade 5 students engage with the aspects (construct and critique) of argument in an online asynchronous discussion combined with in-class wrap-up discussion. Grade 5 students in a rural public school engaged in a "human health investigation" unit using an argument-based inquiry approach followed by online…
Descriptors: Elementary School Students, Grade 5, Persuasive Discourse, Computer Mediated Communication
Martin, Kenneth H. – Journal of Asynchronous Learning Networks, 2013
Disinhibition is recognized as an effect that prompts online users to communicate with less constraint than in face-to-face discussion. This article describes how disinhibition may affect more than individual instances. In a blended learning environment, disinhibition may alter the entire context of discussion by disrupting established patterns of…
Descriptors: Inhibition, Blended Learning, Asynchronous Communication, Discussion (Teaching Technique)
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection