Study and analysis of learning and teaching in higher education

EasyChair Preprint no. 6012

Abstract

This article shows the result of the research carried out during the 2020/21 academic year, in the subject of Information Security, taught in Higher Education, in the fourth year of the Degree in Telematics Engineering in Telecommunications and also in the Degree in Computer Engineering in Information Technology, at the University Center of Mérida of the University of Extremadura. 

The motivation of the research was to monitor the teaching, in a non-invasive way that helps in the teaching / learning process, while the students do not feel that they are being evaluated, minimizing the stress produced by the exams, and trying to automate the learning assessment process so that the teacher has a quick and easy-to-use tool that provides information on the evolution of the students' mental structure, online.  The bases of the study that we present are different investigations on pathfinder associative networks and nuclear concepts.  The re-search process developed in several stages.  The first step consisted in obtaining the prior knowledge of the students with the help of software created for this purpose.  With the data obtained, the associative pathfinder networks of each student were created to know their men-tal structure.  Data were collected at various moments of the teaching course, to verify the evo-lution of the teaching-learning process and through associative pathfinder networks, the men-tal structures of the students were graphically represented, being able to observe the evolution of learning during the teaching period.

Keyphrases: Conceptos nucleares, Educación Superior, Redes Asociativas Pathfinder

@Booklet{EasyChair:6012,
  author = {Violeta Hidalgo Izquierdo and Juan Arias Masa and Rafael Martín Espada and Juan Ángel Contreras Vas},
  title = {Study and analysis of learning and teaching in higher education},
  howpublished = {EasyChair Preprint no. 6012},

  year = {EasyChair, 2021}}