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Jeon, Byungsoo; Shafran, Eyal; Breitfeller, Luke; Levin, Jason; Rosé, Carolyn P. – International Educational Data Mining Society, 2019
This paper addresses a key challenge in Educational Data Mining, namely to model student behavioral trajectories in order to provide a means for identifying students most at risk, with the goal of providing supportive interventions. While many forms of data including clickstream data or data from sensors have been used extensively in time series…
Descriptors: Online Courses, At Risk Students, Academic Achievement, Academic Failure
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Lawrie, Gwendolyn Angela; Grøndahl, Lisbeth; Boman, Simon; Andrews, Trish – Journal of Science Education and Technology, 2016
Recent examples of high-impact teaching practices in the undergraduate chemistry laboratory that include course-based undergraduate research experiences and inquiry-based experiments require new approaches to assessing individual student learning outcomes. Instructors require tools and strategies that can provide them with insight into individual…
Descriptors: Web Sites, Editing, Collaborative Writing, Web 2.0 Technologies
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Cardetti, Fabiana; Khamsemanan, Nirattaya; Orgnero, M. Carolina – Journal of the Scholarship of Teaching and Learning, 2010
Note-taking is a widespread practice used by college students to record information from lectures. Unfortunately, even successful students' notes are incomplete and, therefore, may lack the potential to positively impact their academic performance. Research suggests that instructors can help students improve their note-taking skills by using…
Descriptors: Notetaking, Academic Achievement, Mathematics, College Students
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Qiu, Mingzhu; Hewitt, Jim; Brett, Clare – International Journal of Computer-Supported Collaborative Learning, 2012
Researchers have long recognized class size as affecting students' performance in face-to-face contexts. However, few studies have examined the effects of class size on exact reading and writing loads in online graduate-level courses. This mixed-methods study examined relationships among class size, note reading, note writing, and collaborative…
Descriptors: Graduate Students, Class Size, Online Courses, Reader Text Relationship
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Nye, Pauline A.; And Others – Higher Education, 1984
Complete sets of notes on an introductory psychology course were obtained and analyzed, and information about class attendance and the quantity, organization, and presentation of the notes was collected. Variables based on this information were then correlated with performance on two final examination papers. (Author/MLW)
Descriptors: Academic Achievement, Attendance Patterns, College Students, Comparative Analysis