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Kam Hong Shum; Samuel Kai Wah Chu; Cheuk Yu Yeung – Interactive Learning Environments, 2023
This study examines the use of data analytics to evaluate students' behaviours during their participation in an online collaborative learning environment called SkyApp. To visualise the learning traits of engagement, emotion and motivation, students' inputs and activity data were captured and quantified for analysis. Experiments were first carried…
Descriptors: Student Behavior, Online Courses, Cooperative Learning, Computer Software
Ardito, Gerald; Czerkawski, Betül; Scollins, Lauren – TechTrends: Linking Research and Practice to Improve Learning, 2020
Problem-solving and critical thinking are considered important skills to be developed by students, and are supported by the development of Computational Thinking (CT) skills. This study investigated the collaborative development of CT skills in sixth grade students via a six week LEGO robotics program. This robotics program focused on the…
Descriptors: Problem Solving, Thinking Skills, Middle School Students, Robotics
Yu, Fu-Yun – Journal of Educational Computing Research, 2003
Since past studies showing that competition has negative effects on group process were primarily conducted in traditional classrooms involving face-to-face situations, this study extends past research by investigating whether the negative effects associated with face-to-face team competition can be mitigated with the support of networking…
Descriptors: Student Attitudes, Proximity, Educational Strategies, Data Analysis
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection