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Conijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
Kilpatrick, Gordon – 1968
This report consists of three sections, the first of which is a discussion of placement testing. It is maintained that the strengths and weaknesses of a tested population cannot be determined by a single composite test--yet, many institutions place students in beginning courses on the basis of such limited information. To assess basic capabilities…
Descriptors: Academic Ability, College Students, Computers, Data Processing