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Hunt-Isaak, Noah; Cherniavsky, Peter; Snyder, Mark; Rangwala, Huzefa – International Educational Data Mining Society, 2020
National failure rates seen in undergraduate introductory CS courses are quite high. In this paper, we develop a predictive model for student in-class performance in an introductory CS course. The model can serve as an early warning system, flagging struggling students who might benefit from additional support. We use a variety of features from…
Descriptors: Textbooks, Surveys, Grade Prediction, Undergraduate Students
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Carolan, Kevin – 1974
APL (A Programing Language), a computer language used thus far largely for mathematical and scientific applications, can be used to tabulate a survey. Since this computer application can be appreciated by social scientists as well as mathematicians, it serves as an invaluable pedagogical tool for presenting APL to nonscientific users. An…
Descriptors: Computer Science Education, Data Analysis, Data Processing, Matrices
West, Jerry; And Others – 1985
Responses to the problems of secondary school education must be predicated on reliable information on student participation in mathematics, science, computer science, vocational education, and general education. This analysis summarized 1981-1982 High School and Beyond student transcript data to identify course-taking patterns relative to each of…
Descriptors: Computer Science Education, Data Analysis, Educational Research, Enrollment Trends
Milwaukee Area Technical Coll., WI. – 1988
This report and research analysis relate to the Milwaukee Area Technical College Research Project, a study undertaken to determine a curriculum to meet the information processing/management training needs of individuals entering or continuing careers in the information marketing and business data processing occupational clusters. The report of…
Descriptors: Business Education, Community Colleges, Computer Oriented Programs, Computer Science Education