Data analysis of coaching and advising in undergraduate students. An analytic approach

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Abstract

This paper aims to analyze the data collected from a first approach at the process of applying coaching techniques in the advisor service of students in their first course of engineering. In this context, resources and techniques from the field of coaching can be very useful for the advisor, as those resources influence the student to reflect and be more aware of the situation he/she is living. This process should help prevent problems such as the frustration and insecurity that can appear among students, not only in the early stages of their studies, as we will show in the paper, and minimizing the number of student dropouts. Finally, we will discuss about whether the coaching process has improved the main objective of these types of approaches: that the student will be more qualified to take the appropriate decisions with greater discretion, motivation and responsibility in his/her engineering studies.

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APA

Fonseca, D., Montero, J. A., Guenaga, M., & Mentxaka, I. (2017). Data analysis of coaching and advising in undergraduate students. An analytic approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10296 LNCS, pp. 269–280). Springer Verlag. https://doi.org/10.1007/978-3-319-58515-4_21

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