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Resumen de Módelo para el análisis del comportamiento de los estudiantes durante actividades colaborativas a través de internet

Laura Rosa Guerra Torrealba

  • As participants in today¿s society, where the most important resorce is knowledge, the researcher bent on making virtual experiences that contribute to the training of both students and teachers in knowledge management as the flag for the developmentofindividual and organizational competitive advantages. The research presented aimed to develop a model for analyzing the behavior of students when performing collaborative activities over the Internet. The empirical studywas conducted at the Faculty of Engineering ofthe University ofCarabobo, Venezuela and specifically in the departrnent of Mathematic ofthat institution. The experiment was divided into three phases, covering about five years working with a virtual classrooo. In the earlystages, aspects related to the formation ofgroups and argumentative process, were tested, as pillars for the collaborative construction of knowledge. These preliminary results linked to the theoretical and methodological review ofthe behavior variables related to collaborative, served as input for the final phase of model development. Among the results obtained, point out the strong direct influence interpersonal factors (trust and cohesion), perceived usefulness and perceived ease ofuse on knowledge sharing behavior.ltwas identified the importance ofshared values in strengthening the cohesion ofthe team and that the group's working time and the number of interactions that have the members to eaeh other, influences the development oftrust between them. Finally, it can be conclude that while the establishment of an evaluation strategyto prevail the help and cooperation among team members, the teams can be formed in anywayand thatwill not affect their performance. The approach of clear rules oforganizing activities and offering tasks that promete cognitive conflicts are scaffolds for the construction ofknowledge. The proposed model showed that these simple rules pave the way for trust to thrive and group cohesion. The assessment ofthat model made with PLS Graph program, showed a high reliability anda significant predictive power. where the 60%ofthe presumed relationships between variables were approved.


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