Creativity is a skill of the twenty-first century, because in today’s society both solving problems and changing environmental conditions are part of everyday life. However, evaluation of this skill is done through explicit methods which take a long time to implementation, they are not part of any student daily tasks, or have a high level of subjectivity. Therefore, we propose an implicit model for detecting student creative behavior based on the diversity of queries issued by students during a task search information to solve a problem. The diversity of the queries is calculated through the opportunities for such queries linked to each point of view. The method has shown very promising results on a small group of students. This shows that the diversity of queries is a good indicator of student creative behavior, so it is feasible to establish an implicit model for the detection of this ability, which is in daily use by students and, therefore, not need additional time to complete.
Olivares-Rodríguez, C., Guenaga, M. (2015). Detection of the Student Creative Behavior Based on Diversity of Queries. In: García-Chamizo, J., Fortino, G., Ochoa, S. (eds) Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information. UCAmI 2015. Lecture Notes in Computer Science(), vol 9454. Springer, Cham. https://doi.org/10.1007/978-3-319-26401-1_18