Kalliopi Tourtoglou, Maria Virvou


In this paper, we present an evaluation experiment of AUTO-COLLEAGUE conducted at the University of Piraeus. AUTO-COLLEAGUE is a collaborative learning environment for UML. Students are organized into groups supported with a chat system to collaborate with each other. It builds integrated individual student models aiming at suggesting optimum groups of learners. These optimum groups will allow the trainer of the system to organize them in the most effective way as far as their performance is concerned. In other words, the strengths and weaknesses of the students are blended for the best of the individuals and the groups. The student models concern the level of expertise and specific personality characteristics of the students. The results of the evaluation were quite optimistic, as they indicated a better individual performance of the students.


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Paper Citation

in Harvard Style

Tourtoglou K. and Virvou M. (2010). EVALUATING AN INTELLIGENT COLLABORATIVE LEARNING ENVIRONMENT FOR UML . In Proceedings of the 5th International Conference on Software and Data Technologies - Volume 2: ICSOFT, ISBN 978-989-8425-23-2, pages 462-467. DOI: 10.5220/0003011604620467

in Bibtex Style

author={Kalliopi Tourtoglou and Maria Virvou},
booktitle={Proceedings of the 5th International Conference on Software and Data Technologies - Volume 2: ICSOFT,},

in EndNote Style

JO - Proceedings of the 5th International Conference on Software and Data Technologies - Volume 2: ICSOFT,
SN - 978-989-8425-23-2
AU - Tourtoglou K.
AU - Virvou M.
PY - 2010
SP - 462
EP - 467
DO - 10.5220/0003011604620467