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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
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Langley-Turnbaugh, S. J.; Shehata, T. – Research Management Review, 2015
The University of Southern Maine (USM) designed and implemented an internal Research Cluster Seed Fund competition with the goals of building USM faculty expertise to address industry and community needs, deepening the impact of research through an interdisciplinary approach to solving problems, and leveraging external funding to sustain…
Descriptors: Undergraduate Students, Competition, Research Proposals, Partnerships in Education
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Chrysostomou, Kyriacos; Chen, Sherry Y.; Liu, Xiaohui – Interactive Learning Environments, 2009
With advances in information and communication technology, interactive multimedia learning systems are widely used to support teaching and learning. However, as human factors vary across users, they may prefer the design of interactive multimedia learning systems differently. To have a deep understanding of the influences of human factors, we…
Descriptors: Investigations, Multimedia Instruction, Design Preferences, Performance Technology