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Zeng, Ziheng; Chaturvedi, Snigdha; Bhat, Suma – International Educational Data Mining Society, 2017
Characterizing the nature of students' affective and emotional states and detecting them is of fundamental importance in online course platforms. In this paper, we study this problem by using discussion forum posts derived from large open online courses. We find that posts identified as encoding confusion are actually manifestations of different…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
Kim, WooRi; Watson, Sunnie L.; Watson, William R. – Educational Media International, 2016
Massive open online courses (MOOCs) have gained significant attention in recent years for their potential to impact education at a global scale. This paper presents the findings from a study that examined the cases of three MOOCs, including Human Trafficking, US Food System, and Animal Behavior and Welfare, that were specifically designed to…
Descriptors: Online Courses, Large Group Instruction, Attitude Change, Cognitive Processes
Watson, Sunnie Lee – Open Learning, 2017
This case study examines the design and facilitation of a Massive Open Online Course (MOOC) that focused on attitudinal learning about the topic of animal behaviour and welfare. Findings showed that a team of instructors worked together collaboratively towards realising learning goals and found the experience rewarding. While learners had mixed…
Descriptors: Case Studies, Large Group Instruction, Online Courses, Animal Behavior
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Lee, Virginia S.; Williford, Lynn E. – 1997
This study compared African-American and white college students' perceptions of the educational environment within large lecture classes. A total of 124 African-American students and 1,143 white students in 27 classes with enrollments of more than 70 students completed surveys as part of a larger study on student perceptions of postsecondary…
Descriptors: Affective Behavior, Black Students, Class Size, College Students