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Siddique, Faraz – ProQuest LLC, 2023
First-generation students, especially in science, technology, engineering, and math (STEM) fields, have low persistence rates. Research shows that one of the barriers to their low persistence is a need for a student-centered pedagogical approach. Research has shown that if an instructor incorporates a pause technique during a standard lecture,…
Descriptors: First Generation College Students, STEM Education, Academic Persistence, Lecture Method
Smith, Erika K.; Kaya, Ece – IAFOR Journal of Education, 2021
The impacts of COVID-19 have been widespread, and the education sector has not been immune to its effects. In March 2020 Australian universities were forced into a shutdown, which prompted an unanticipated, sudden shift in education, from on-campus and face-to-face to an off-campus and online mode of teaching and learning. This paper describes the…
Descriptors: Foreign Countries, COVID-19, Pandemics, Online Courses
Stolk, Jonathan D.; Gross, Michael D.; Zastavker, Yevgeniya V. – International Journal of STEM Education, 2021
Background: Research illustrates that student motivations influence learning engagement, persistence, and achievement in powerful ways and that positive motivations are linked to deeper learning, critical thinking, pro-social behavior, and better performance. Most studies of learner motivation, however, are conducted outside of STEM and are…
Descriptors: Gender Differences, STEM Education, Intervention, Student Motivation
Evans, Brent J.; Baker, Rachel B.; Dee, Thomas S. – Journal of Higher Education, 2016
Using a unique dataset of 44 Massive Open Online Courses (MOOCs), this article examines critical patterns of enrollment, engagement, persistence, and completion among students in online higher education. By leveraging fixed-effects specifications based on over 2.1 million student observations across more than 2,900 lectures, we analyzed…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Enrollment Trends
Costley, Jamie; Lange, Christopher Henry – Interactive Technology and Smart Education, 2017
Purpose: Because student viewership of video lectures serves as an important aspect of e-learning environments, video lectures should be delivered in a way that enhances the learning experience. The delivery of video lectures through diverse forms of media is a useful approach, which may have an effect on student learning, satisfaction, engagement…
Descriptors: Video Technology, Lecture Method, Electronic Learning, Outcomes of Education
Adams, Catherine; Yin, Yin; Vargas Madriz, Luis Francisco; Mullen, C. Scott – Distance Education, 2014
The current discourse surrounding Massive Open Online Courses (MOOCs) is powerful. Despite their rapid and widespread deployment, research has yet to confirm or refute some of the bold claims rationalizing the popularity and efficacy of these large-scale virtual learning environments. Also, MOOCs' reputed disruptive, game-changing potential…
Descriptors: Online Courses, Large Group Instruction, Class Size, Distance Education
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
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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