Using Learning Analytics to Detect Authentic Leadership Characteristics in Engineering Students
- Autores: María Luisa Sein-Echaluce Lacleta, Angel Fidalgo Blanco, Javier Esteban-Escaño, Francisco José García Peñalvo, Miguel Ángel Conde González
- Localización: The International journal of engineering education, ISSN-e 0949-149X, Vol. 34, no. Extra 3, 2018, págs. 851-864
- Idioma: inglés
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- Dialnet Métricas: 1 Cita
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Resumen
Previous research has shown that teamwork between students underpins the communication interactions among teammembers, 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 formativeevaluation that indicates the progress of each team member and taking remedial actions if appropriate progress has notbeen made. This paper uses a learning analytics system to study interactions between students and detect the values andattitudes demanded of a leader by society. The results of this analysis are keys for avoiding corruption and wrong practicesand can even provide a solution to global intercultural troubles. In this study, a validated questionnaire of authenticleadership was given to 78 team members in a university context; the influence of some values and attitudes on leadership isproved with grades; and a learning analytics system was used to analyse information that could predict a leader’s behaviourduring the development of teamwork.