Share This Author
Genetic algorithm for automatic group formation considering student's learning styles
- Germán Lescano, R. Costaguta, A. Amandi
- Computer Science8th Euro American Conference on Telematics and…
- 1 April 2016
This paper proposes a genetic algorithm for automatic generation of groups considering learning styles of your members, using historical data about performance of groups and creating association rules which are used in the fitness function.
COLLAB: Conflicts and Sentiments in chats
An application to support the communication of collaborative groups when the members work together to make collaborative activities by generating data that will be employed to build and validate automatic classifiers to recognize conflicts in synchronous dialogues through the analysis of sentiments exchanged in the interactions.
Analysis of a GPU implementation of Viola-Jones’ Algorithm for Features Selection
The aim was to reduce the time needed during training phase when using one computer with a cheap graphical processing unit (GPU) and showed that combining C language, CUDA, etc., it is possible to reach acceptable times for training phase.
A Technique for Conflict Detection in Collaborative Learning Environment by Using Text Sentiment
A technique to recognize conflicts in a group and the members involved in them by focusing in the socio-emotional interactions is proposed, able to detect conflicts automatically, reducing the human effort required to detect these conflicts by other means.
Applying data mining to discover successful collaborative groups styles
- R. Costaguta, María de los Ángeles Menini, Germán Lescano
- Education8th Euro American Conference on Telematics and…
- 1 April 2016
To discover these combinations of learning style, collaborative experiences were carried out with groups of degree students and data mining techniques was applied.
Detecting conflicts in collaborative learning through the valence change of atomic interactions
Using data mining for discovering relationships between collaboration skills and group roles
- R. Costaguta, Germán Lescano, Pablo Santana Mansilla, Daniela Missio, Patricia Miro
- 25 September 2017
Through associaton rules it was possible to discover relationships of Conversation and Active Learning collaboration skills with Monitor Evaluator, Coordinator, Resource Invesigator and Specialist group roles, which might be used for automatic recognition of student roles based on collaboration skills that students manifest in their groups.
Group Behaviors and Team Roles Identification in Collaborative E-learning
- R. Costaguta, Daniela Missio, María de los Ángeles Menini, Pablo Santana Mansilla, Germán Lescano
- 12 September 2018
A double content analysis over an interaction set generated by advanced students of Computer Science when working in a collaborative forum showed that there are some dominant group behaviors, mental roles are more frequent than social and action roles, and there is a relationship among group roles and group behaviors.
Emotions recognition in synchronic textual CSCL situations
Mining Associations Between Collaborative Skills and Group Roles in Collaborative E-Learning Environments
- R. Costaguta, Pablo Santana-Mansilla, Germán Lescano, Daniela Missio
- Computer ScienceJournal of Information Technology Research
- 1 April 2019
Relations between collaborative skills and group roles are explored by means of the application of association rules over a dataset of university students' interactions during CSCL sessions to enable automatic recognition of student roles based on collaborative skills that students manifest in their groups.