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Zeng, Xiaofang; Wang, Tingzeng – International Journal of Multidisciplinary Perspectives in Higher Education, 2021
The purpose of this research is to summarize the studies examining college student satisfaction with online learning, with a focus on the studies investigating the elements of the online courses designed by the instructors who moved face-to-face courses to online during the COVID-19 pandemic. Research that describes the elements of online course…
Descriptors: Student Satisfaction, College Students, Online Courses, School Closing
I-Fan Liu; Hui-Chun Hung; Che-Tien Liang – Interactive Learning Environments, 2024
With the rise of big data, artificial intelligence, and other emerging information technologies, an increasing number of students without computer science (CS) backgrounds have begun to learn programming. Programming is considered a complex task for beginners, and instructors find it difficult to quickly address all the problems that students…
Descriptors: Programming, Student Attitudes, Blended Learning, Video Technology
Madden, Lauren; Jones, Gail; Childers, Gina – Journal of Classroom Interaction, 2017
New tools for teaching with distance education afford students with a variety of modes of communication. This study examined students' interactions during an online science education course. All interactions that took place with Elluminate Chat, Elluminate Voice, and Moodle learning platforms were recorded, transcribed, and analyzed. Interactions…
Descriptors: Asynchronous Communication, Synchronous Communication, Communication Strategies, Distance Education
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

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