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Liu, Ran; Stamper, John; Davenport, Jodi – Journal of Learning Analytics, 2018
Temporal analyses are critical to understanding learning processes, yet understudied in education research. Data from different sources are often collected at different grain sizes, which are difficult to integrate. Making sense of data at many levels of analysis, including the most detailed levels, is highly time-consuming. In this paper, we…
Descriptors: Intelligent Tutoring Systems, Learning, Data Analysis, Student Development
Liu, Ran; Stamper, John; Davenport, Jodi – Grantee Submission, 2018
Temporal analyses are critical to understanding learning processes, yet understudied in education research. Data from different sources are often collected at different grain sizes, which are difficult to integrate. Making sense of data at many levels of analysis, including the most detailed levels, is highly time-consuming. In this paper, we…
Descriptors: Intelligent Tutoring Systems, Learning, Data Analysis, Student Development
Erwin, T. Dary; Tollefson, Arthur L. – Journal of College Student Personnel, 1982
Describes a development in computer technology called database management, presented in a model for student development. Although the type and amount of information for the database is flexible, suggests it provides an opportunity to apply existing educational principles on a wider basis to more students. (Author)
Descriptors: College Students, Computer Oriented Programs, Data Processing, Databases
Rossi, Robert J.; Gilmartin, Kevin J. – 1978
This paper argues for the use of social indicators, in conjunction with the traditional norm-referenced and criterion-referenced tests, to assess the effects of local educational systems. A conceptual framework for the study of educational performance is presented, interrelating: (1) personal resources invested by youth; (2) opportunities for…
Descriptors: Academic Achievement, Adolescents, Data Processing, Evaluation Criteria

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