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Bahargam, Sanaz; Erdos, Dóra; Bestavros, Azer; Terzi, Evimaria – International Educational Data Mining Society, 2015
Whether teaching in a classroom or a Massive Online Open Course it is crucial to present the material in a way that benefits the audience as a whole. We identify two important tasks to solve towards this objective; (1) group students so that they can maximally benefit from peer interaction and (2) find an optimal schedule of the educational…
Descriptors: Grouping (Instructional Purposes), Scheduling, Time Factors (Learning), Individualized Instruction
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Michalski, Greg V. – Community College Journal of Research and Practice, 2014
Excessive course attrition is costly to both the student and the institution. While most institutions have systems to quantify and report the numbers, far less attention is typically paid to each student's reason(s) for withdrawal. In this case study, text analytics was used to analyze a large set of open-ended written comments in which students…
Descriptors: Student Attrition, Withdrawal (Education), Data Analysis, Models
Bell Haynes, Janel Elizabeth – ProQuest LLC, 2013
The purpose of this mixed method sequential explanatory case study was to describe the relationship of a student outcomes assessment program, as measured by the Peregrine Academic Leveling Course, (ALC), to the academic performance, determined by scores on the Peregrine Common Professional Component (CPC) examination, of students enrolled during…
Descriptors: Case Studies, Business Administration Education, Student Evaluation, Testing Programs
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Yau, Jane Y.-K.; Joy, Mike; Dickert, Stephan – Educational Technology & Society, 2010
We report the results of a diary study to determine whether a diary approach could be used as a successful way of retrieving a) the user's learning contexts, b) which learning contexts are significant for consideration within an m-learning application, and c) which learning materials are appropriate for which learning situation. Analyses of data…
Descriptors: Foreign Countries, Educational Technology, Data Analysis, Student Characteristics