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Detecting conflicts in collaborative learning through the valence change of atomic interactions.

, , , , and . Expert Syst. Appl., (2021)

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Detecting conflicts in collaborative learning through the valence change of atomic interactions., , , , and . Expert Syst. Appl., (2021)A Technique for Conflict Detection in Collaborative Learning Environment by Using Text Sentiment., , , and . MICAI (2), volume 12469 of Lecture Notes in Computer Science, page 39-50. Springer, (2020)Group Behaviors and Team Roles Identification in Collaborative E-learning., , , , and . Interacción, page 30:1-30:2. ACM, (2018)COLLAB: Conflicts and Sentiments in chats., and . Interacción, page 33:1-33:4. ACM, (2018)Applying data mining to discover successful collaborative groups styles., , and . EATIS, page 1-6. IEEE, (2016)Emotions recognition in synchronic textual CSCL situations., , and . Int. J. Data Min. Model. Manag., 14 (2): 183-202 (2022)Conflict recognition in CSCL sessions through the identification of cycles in conversational graphs., , , and . Educ. Inf. Technol., 28 (9): 11615-11629 (September 2023)Genetic algorithm for automatic group formation considering student's learning styles., , and . EATIS, page 1-8. IEEE, (2016)Using data mining for discovering relationships between collaboration skills and group roles., , , , and . Interacción, page 24:1-24:2. ACM, (2017)