Recovering autonomous work after the pandemic: analysis in Calculus for incoming Students in Technical Education degrees

The use of active methodologies in the first years of university technical education is a difficult task to approach from two different points of view: from the student’s point of view, since it implies a greater participation in the teaching-learning process, to which he/she is not used to; and from the teacher’s point of view, because of the difficulty involved in the design of activities, particularly in basic subjects of the first year. This article shows an experience of autonomous work using Problem Based Learning applied to the study of real functions of a real variable, as part of the subject Calculus of several Engineering degrees. The result is positive with an improvement in autonomous work when active methodologies are used. From the analysis performed, and using a dataset spanning three academic years and including a diverse sample of 527 students, our study provides a solid basis for researchers, designers and especially mathematics educators to improve student performance by introducing active methodologies. The increased generalizability and implications for educational practice place our study as a valuable contribution to the field, making the way easier for using Problem Based Learning in early grades.

Authors

Institutions

Publication Details

Journal
Humanities and Social Sciences Communications
Published
2024-12-24
DOI
https://doi.org/10.1057/s41599-024-04263-z
Citations
1
Primary Topic
Problem and Project Based Learning
Type
article
Field-Weighted Citation Impact
2.10
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recovering autonomous work after the pandemic: analysis in Calculus for incoming Students in Technical Education degrees

Carolina Rebollar, Eugenio Bravo, Javier Bilbao, Olatz García
1 citations
Humanities and Social Sciences Communications
Problem and Project Based Learning
2.10
article

Recovering autonomous work after the pandemic: analysis in Calculus for incoming Students in Technical Education degrees

Carolina Rebollar, Eugenio Bravo, Javier Bilbao, Olatz García
article en
1 citations

Abstract

The use of active methodologies in the first years of university technical education is a difficult task to approach from two different points of view: from the student’s point of view, since it implies a greater participation in the teaching-learning process, to which he/she is not used to; and from the teacher’s point of view, because of the difficulty involved in the design of activities, particularly in basic subjects of the first year. This article shows an experience of autonomous work using Problem Based Learning applied to the study of real functions of a real variable, as part of the subject Calculus of several Engineering degrees. The result is positive with an improvement in autonomous work when active methodologies are used. From the analysis performed, and using a dataset spanning three academic years and including a diverse sample of 527 students, our study provides a solid basis for researchers, designers and especially mathematics educators to improve student performance by introducing active methodologies. The increased generalizability and implications for educational practice place our study as a valuable contribution to the field, making the way easier for using Problem Based Learning in early grades.

Humanities and Social Sciences CommunicationsVol. 11(1)
University of the Basque Country (ES)
Good health and well-being
Openalex Percentile: Top 10%
Problem and Project Based Learning
2.10
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.