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Direct linkKozlov, Michail D.; Buder, Jurgen; Thiemann, Daniel – IEEE Transactions on Learning Technologies, 2018
The present study aims to empiricaly demonstrate the viability and benefits of an awareness-based approach to diversify knowledge between potential learning partners. Groups of four learners studied lesson material on biology. After a knowledge test, the groups were to form collaborative learning dyads. Based on the test, a novel knowledge…
Descriptors: College Students, Perception, Knowledge Level, Biology
Terzidou, Theodouli; Tsiatsos, Thrasyvoulos; Miliou, Christina; Sourvinou, Athanasia – IEEE Transactions on Learning Technologies, 2016
This study proposes and applies a novel concept for an AI enhanced serious game collaborative environment as a supplementary learning tool in tertiary education. It is based on previous research that investigated pedagogical agents for a serious game in the OpenSim environment. The proposed AI features to support the serious game are the…
Descriptors: Educational Games, Computer Games, Artificial Intelligence, Student Attitudes
Lin, Yu-Shih; Chang, Yi-Chun; Chu, Chih-Ping – IEEE Transactions on Learning Technologies, 2016
The grouping problem is critical in collaborative learning (CL) because of the complexity and difficulty in adequate grouping, based on various grouping criteria and numerous learners. Previous studies have paid attention to certain research questions, and the consideration for a number of learner characteristics has arisen. Such a multi-objective…
Descriptors: Cooperative Learning, Experimental Groups, Control Groups, Pretests Posttests
