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Measurement and Aggregation in Online Learning
Tue, April 21, 8:15 to 9:45am, Virtual RoomSession Type: Roundtable Session
Abstract
Large quantities of data are generated in online learning environments and the research base that uses that data is growing. This round table session offers an inside view into statistical analysis of online data and showcases several studies that use advanced statistical methods.
Sub Unit
Chair
Papers
A Longitudinal Study on How Motivation Affects Cognitive Engagement in an Online Language Course - ZILU JIANG, The Ohio State University; Vanessa Wanchanit Vongkulluksn, University of Nevada - Las Vegas; Kui Xie, The Ohio State University; Jiahang Li, Michigan State University
Disrupting the Null Ritual via MOOCs: Can Dynamic Instructional Support Reduce Statistical Misconceptions? - Arianne Herrera-Bennett, Ludwig-Maximilians-Universität München; Daniel Lakens, TU Eindhoven; Moritz Heene, Ludwig-Maximilians-Universität München; Stefan Ufer, University of Munich
Factors Predicting Faculty Members' Intention to Teach Online in the Kingdom of Saudi Arabia - Fahad Alenezi, University of Ha'il; Hayley J. Mayall, Northern Illinois University
The Effects of Openness, Altruism, and Instructional Self-Efficacy on Work Engagement of MOOC Instructors - Min Young Doo, Kangwon National University; Meina Zhu, Wayne State University; Curtis J. Bonk, Indiana University; Ying Tang, The University of Hong Kong
The Relationship Between Teaching Presence and Student Outcomes in Online Education: A Meta-Analysis - Secil Caskurlu, Florida State University; Yukiko Maeda, Purdue University; Jennifer C. Richardson, Purdue University; Jing Lv, East China Normal University; Kadir Kozan, Purdue University; Daniela Castellanos-Reyes, Purdue University; Mohammad Shams Duha, Purdue University