Using learning analytics to detect authentic leadership characteristics in engineering students.

Cita: Echaluce, M. L. S., Blanco, A. F., Esteban-Escano, J., Peñalvo, F. J. G., & González, M. Á. C. (2018). Using learning analytics to detect authentic leadership characteristics in engineering students. The International journal of engineering education34(3), 851-864.

Title

Using learning analytics to detect authentic leadership characteristics in engineering students.

Abstract

Previous research has shown that teamwork between students underpins the communication interactions among team members, and these interactions are underscored in the work environment, job quality, work outcome and, of course, grades.

Analysing the interactions among the members of a team using a learning analytics system allows for a formative evaluation that indicates the progress of each team member and taking remedial actions if appropriate progress has not been made.

This paper uses a learning analytics system to study interactions between students and detect the values and attitudes demanded of a leader by society. The results of this analysis are keys for avoiding corruption and wrong practices and can even provide a solution to global intercultural troubles.

In this study, a validated questionnaire of authentic leadership was given to 78 team members in a university context; the influence of some values and attitudes on leadership is proved with grades; and a learning analytics system was used to analyse information that could predict a leader’s behaviour during the development of teamwork.

Authors

Ángel Fidalgo-Blanco (angel.fidalgo@upm.es) Universidad Politécnica de Madrid, España

María Luisa Sein-Echaluce (mlsein@unizar.es) Universidad de Zaragoza, España

Francisco José García-Peñalvo (fgarcia@usal.es) Universidad de  Salamanca, España

Javier Esteban Escaño (javeste@unizar.es) Universidad de Zaragoza, España

Acces

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