Computational Assistant for the Assessment University Competencies in B-Learning Environments

Abstract

Competency assessment is a complex problem that has been approached from multiple perspectives but remains a work in progress. This paper presents a new competency assessment model accompanied by a computational assistant that guides its implementation. The model covers seven phases of an evaluation process, beginning with the definition of the competency and ending with the feedback of evidence provided from the teacher to the students. In each phase, the assistant provides suggestions to the teacher, which are obtained through text analysis algorithms and improve as information is added. The model was validated through pre and post-test study requiring the participation of a group of university teachers. The results indicate that with the use of the model, the time invested by the teacher in evaluation tasks is reduced, the clarity and completeness of the process improves, and an integrated evaluation of generic and specific competences is achieved.