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Strang, Kenneth David – Journal of Educational Technology Systems, 2016
This article starts with a detailed literature review of recent studies that focused on using learning analytics software or learning management system data to determine the nature of any relationships between online student activity and their academic outcomes within university-level business courses. The article then describes how data was…
Descriptors: Outcomes of Education, Higher Education, Computer Software, Academic Achievement
Corrigan, M. J.; Gurdineer, E. E. – Journal of Child & Adolescent Substance Abuse, 2012
Objective: This article reports on two separate studies of reliability of the Adolescent Domain Screening Inventory (ADSI), test-retest and internal consistency analyses. The ADSI has shown adequate validity, although reliability has not been established. Methods: Study 1: Students were recruited from two undergraduate courses (N = 29).…
Descriptors: Evidence, Student Evaluation, Data Analysis, Screening Tests
Wilder, Esther Isabelle – Teaching Sociology, 2010
Quantitative and computer literacy are increasingly recognized as core components of a liberal education in sociology. This study draws on student, faculty, and alumni questionnaires to identify the kinds of quantitative literacy skills that are perceived to be most critical for students enrolled in sociology courses. Respondents at Lehman College…
Descriptors: Feedback (Response), Alumni, Sociology, Data Analysis
Schaffhauser, Dian – Campus Technology, 2009
Using data to track and manage student enrollment is steadily becoming a standard practice on both two-year and four-year campuses. Data mining enables colleges to create predictive models for identifying behaviors that put students at risk for dropping out, flag students who engage in these behaviors, and help identify practices that work in…
Descriptors: Community Colleges, Educational Strategies, Academic Support Services, Attendance Patterns
Andersen, Kristi; Harsell, Dana Michael – Journal of Political Science Education, 2005
This paper evaluates the long-term benefits of a Syracuse University course offering, "Maxwell 201: Quantitative Methods for the Social Sciences" (MAX 201). The authors analyze data collected from class-administered pre- and post-tests and from a questionnaire sent to a random sample MAX 201 alumni to evaluate the extent to which…
Descriptors: Social Sciences, Education Work Relationship, Undergraduate Students, Statistics