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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
Benton, Tom; Chamberlain, Tamsin; Wilson, Rebekah; Teeman, David – National Foundation for Educational Research, 2007
In April 2006, the Department for Education and Skills (DfES) commissioned the National Foundation for Educational Research (NFER) to conduct an independent external review in order to develop a single "statistical neighbour" model. This single model aimed to combine the key elements of the different models currently available and be…
Descriptors: Foreign Countries, Comparative Analysis, Benchmarking, Research Reports