Abstract

Distance education has been gaining popularity for the last years. The proficiency in online environments of both learners and teachers explains the success of this methodology. An evaluation of graduate students’ performance within numerical analysis is discussed. In order to improve the marks obtained by the students, specific actions have been performed over the years and data from different classes has been analyzed using statistical tools. The results show that the actions proposed seemed to help the students in their learning process.

Highlights

  • The acronym STEM has been growing in strength during the last few years in the academic community

  • Mathematical subjects have been difficult to learn because of their inherent features, such as abstraction, prerequisites and technicalities, amongst others, which often leads to a lack of motivation

  • As cited in [5], this stimulus can be improved by increasing the efficiency of the mathematical learning in the first levels of early childhood

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Summary

Introduction

The acronym STEM (science, technology, engineering, mathematics) has been growing in strength during the last few years in the academic community. The intertwining of the four areas is achievable in different contexts, such as informal education [1], high-school [2] and university [3,4]. Mathematical subjects have been difficult to learn because of their inherent features, such as abstraction, prerequisites and technicalities, amongst others, which often leads to a lack of motivation. Self-efficacy, defined as learners’ judgments about their ability to successfully attain educational goals [6], has been analyzed in relation to its importance in university populations [7,8]. The relationship between the motivation and both self-efficacy and teacher emotional support is highlighted elsewhere [9]. When the students reach university education, their fundamental problems remain, and, if they do not have a wide background, their motivation can fall dramatically

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