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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

Epp, Juanita Ross; Epp, Walter – Journal of Education for Students Placed at Risk, 2001
Reviews school behavior and attendance policies in Canada as they relate to student attrition. Discusses a sample of schools in which policies have been revised to provide alternative programs to meet the needs of all students, especially those at risk. These schools work with other social agencies to address problems associated with high dropout…
Descriptors: Attendance Patterns, Dropout Rate, Dropouts, Elementary Secondary Education
Meade, Kirk – Community College Frontiers, 1981
Relates some of the challenges involved in teaching English to Yup'ik Eskimos in the rural areas around Bethel, Alaska. Focuses on problems of student attrition, uninformed attitudes of white instructors, and the operations and failings of the delivery system, which employs itinerant field concept coordinators and campus-based instructors. (AYC)
Descriptors: Alaska Natives, Attendance Patterns, Community Colleges, English Instruction