Recommender systems for education and research

Recommender systems can be appropriate to improve learning, through their use in the definition of assessment processes or in the generation of instructional design, as well as to facilitate research work. However, there is a major problem when it comes to evaluating this type of system. In this line, in addition to the development of recommender systems for educational and scientific fields, we are working on the definition of a framework and a tool to evaluate recommender systems using different approaches.

Improvement of educational processes through the integration of learning analytics

This objective focuses on the improvement of different aspects of educational processes, such as evaluation systems, student dropout risk prediction or instructional design, from the point of view of the different types of users that use this type of systems, mainly teachers and students. To this end, we rely on learning analytics techniques, educational information exchange standards and system orchestration.

Improvement, adjustment and application of computer tools in education

In the digital age, educational technologies have become an integral part of the educational processes. However, its mere use does not necessarily guarantee an improvement in the educational process. In this line of research, the application of educational technologies in real contexts is analyzed in order to optimize and adapt them to improve user satisfaction. In this line, educational innovation projects where computer tools are applied to undergraduate education are carried out. The results are available on the Specialized Educational Innovation in Continuous Formative Evaluation group page (https://www.ehu.eus/eu/web/eforja).

Support tools for collaborative or cooperative learning

Many of the activities carried out in blended learning environments, both in classrooms and in virtual environments, are carried out in groups. The creation and management of these work groups can directly affect both the development of the activity and the learning process itself. Artificial Intelligence can help to set up and manage groups of people in the most effective way. In addition, the use of collaborative educational resources based on augmented reality can increase the motivation of the students to participate in these processes.