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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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Dong, Jian-Jie; Hwang, Wu-Yuin; Shadiev, Rustam; Chen, Ginn-Yein – IEEE Transactions on Learning Technologies, 2019
In this study, we developed an on-call-tutor system to facilitate peer-help activities. The system was implemented in a face-to-face heterogeneous classroom with 119 students from different departments who were not familiar with each other. Students learned Geographic Information System (GIS) in a computer classroom in two groups: students, who…
Descriptors: Peer Teaching, Synchronous Communication, Social Networks, Friendship
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Alavi, H. S.; Dillenbourg, P. – IEEE Transactions on Learning Technologies, 2012
We describe an ambient awareness tool, named "Lantern", designed for supporting the learning process in recitation sections, (i.e., when students work in small teams on the exercise sets with the help of tutors). Each team is provided with an interactive lamp that displays their work status: the exercise they are working on, if they have…
Descriptors: Problem Solving, Cooperative Learning, Computer Uses in Education, Group Behavior