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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
Michalski, Greg V. – Association for Institutional Research (NJ1), 2011
Excessive college course withdrawals are costly to the student and the institution in terms of time to degree completion, available classroom space, and other resources. Although generally well quantified, detailed analysis of the reasons given by students for course withdrawal is less common. To address this, a text mining analysis was performed…
Descriptors: College Instruction, Courses, Withdrawal (Education), College Students
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Harter, Stephen P. – College and Research Libraries, 1984
Findings of study of online searchers' self-supported behaviors and attitudes indicate that: there are wide individual differences among online searchers in attitudes and behaviors; searchers from academic institutions differ from counterparts in other library settings; experience appears to be positively related to flexible, trial-and-error…
Descriptors: Attitudes, Behavior, Experience, Hypothesis Testing
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers