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Mayer, Robert V. – European Journal of Contemporary Education, 2016
The use of method of imitational modeling to study forming the empirical knowledge in pupil's consciousness is discussed. The offered model is based on division of the physical facts into three categories: 1) the facts established in everyday life; 2) the facts, which the pupil can experimentally establish at a physics lesson; 3) the facts which…
Descriptors: Physics, Computer Simulation, Inquiry, Cluster Grouping
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
Rudner, Lawrence M.; Guo, Fanmin – Journal of Applied Testing Technology, 2011
This study investigates measurement decision theory (MDT) as an underlying model for computer adaptive testing when the goal is to classify examinees into one of a finite number of groups. The first analysis compares MDT with a popular item response theory model and finds little difference in terms of the percentage of correct classifications. The…
Descriptors: Adaptive Testing, Instructional Systems, Item Response Theory, Computer Assisted Testing
Pedaste, M.; Sarapuu, T. – Journal of Computer Assisted Learning, 2006
Sixty-five teams of basic and secondary school students solved problem-solving tasks during a virtual hike in a Web-based inquiry-learning simulation Hiking Across Estonia. This environment provided learners with all necessary background information for problem-solving and tools for carrying out experiments. There were 25 tasks in certain order…
Descriptors: Inquiry, Web Based Instruction, Problem Solving, Thinking Skills
Brown, R. L. – 1984
The plotting of multivariate data using computer line-printers has become a popular means of quickly representing multidimensional data. While many plotting programs are available, there is a paucity of research regarding the validity and reliability of interpretations made by viewing such graphics. This study explores the validity of four…
Descriptors: Cluster Grouping, Computer Graphics, Computer Simulation, Data Analysis