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Riofrio-Luzcando, Diego; Ramirez, Jaime; Berrocal-Lobo, Marta – IEEE Transactions on Learning Technologies, 2017
Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…
Descriptors: Student Behavior, Predictive Validity, Predictor Variables, Predictive Measurement
Fernandes Malaquias, Rodrigo; de Oliveira Malaquias, Fernanda Francielle – Turkish Online Journal of Distance Education, 2014
The objective of this study was to validate a scale for assessment of academic projects. As a complement, we examined its predictive ability by comparing the scores of advised/corrected projects based on the model and the final scores awarded to the work by an examining panel (approximately 10 months after the project design). Results of…
Descriptors: Predictive Measurement, Predictive Validity, Predictor Variables, Test Construction
Guarino, Cassandra M.; Reckase, Mark D.; Stacy, Brian W.; Wooldridge, Jeffrey M. – Education Policy Center at Michigan State University, 2014
We study the properties of two specification tests that have been applied to a variety of estimators in the context of value-added measures (VAMs) of teacher and school quality: the Hausman test for choosing between random and fixed effects and a test for feedback (sometimes called a "falsification test"). We discuss theoretical…
Descriptors: Achievement Gains, Evaluation Methods, Teacher Effectiveness, Educational Quality
Peer reviewedGoldsmith, Harold F.; And Others – Evaluation and Program Planning, 1992
Articles in this special issue use survey data to provide policymakers with validated indirect needs assessment models that will help them obtain information about populations requiring different levels and types of mental health services. The articles provide the basis for predictive needs assessment and explanatory models of resource allocation.…
Descriptors: Delivery Systems, Evaluation Methods, Health Needs, Mental Health Programs

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