The Impact of the Intensive Learning Model on Academic Achievement in Mathematics Courses Among Engineering Students

This study examined the effectiveness of an intensive learning model in core mathematics courses within engineering education. The model restructures the academic semester so that students study one course at a time in concentrated learning blocks, rather than studying several courses in parallel, with the aim of improving academic achievement and student engagement in engineering mathematics courses. The research employed a quantitative, quasi-experimental, longitudinal design and included 66 undergraduate engineering students who completed three mathematics courses: Linear Algebra, Calculus II, and Differential Equations. Academic performance and learning behavior data were analyzed using mixed-design ANOVA, multiple linear regression, and MANOVA analyses. The findings indicate that students who studied under the intensive learning model achieved significantly higher final grades compared with students in the traditional parallel-course structure. Engagement variables emerged as strong predictors of academic success, particularly class attendance and assignment submission. Academic performance remained stable across the three mathematics courses, and prior academic background variables did not significantly predict achievement. Overall, the results suggest that restructuring mathematics instruction into intensive learning blocks may enhance student engagement and academic performance in demanding quantitative courses, thereby supporting student success and persistence in engineering education.

Authors

Institutions

Publication Details

Journal
Education Sciences
Published
2026-04-15
DOI
https://doi.org/10.3390/educsci16040630
Primary Topic
Mathematics Education and Programs
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of the Intensive Learning Model on Academic Achievement in Mathematics Courses Among Engineering Students

Ronen Porat, Hadas Levi Gamlieli
Education Sciences
Mathematics Education and Programs
article

The Impact of the Intensive Learning Model on Academic Achievement in Mathematics Courses Among Engineering Students

Ronen Porat, Hadas Levi Gamlieli
article en

Abstract

This study examined the effectiveness of an intensive learning model in core mathematics courses within engineering education. The model restructures the academic semester so that students study one course at a time in concentrated learning blocks, rather than studying several courses in parallel, with the aim of improving academic achievement and student engagement in engineering mathematics courses. The research employed a quantitative, quasi-experimental, longitudinal design and included 66 undergraduate engineering students who completed three mathematics courses: Linear Algebra, Calculus II, and Differential Equations. Academic performance and learning behavior data were analyzed using mixed-design ANOVA, multiple linear regression, and MANOVA analyses. The findings indicate that students who studied under the intensive learning model achieved significantly higher final grades compared with students in the traditional parallel-course structure. Engagement variables emerged as strong predictors of academic success, particularly class attendance and assignment submission. Academic performance remained stable across the three mathematics courses, and prior academic background variables did not significantly predict achievement. Overall, the results suggest that restructuring mathematics instruction into intensive learning blocks may enhance student engagement and academic performance in demanding quantitative courses, thereby supporting student success and persistence in engineering education.

Education SciencesVol. 16(4)
Shenkar College of Engineering and Design (IL)
Quality Education
Openalex Percentile: Top 19%
Mathematics Education and Programs
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.

The Impact of the Intensive Learning Model on Academic Achievement in Mathematics Courses Among Engineering Students — Ronen Porat, Hadas Levi Gamlieli · Education Sciences (2026) | TGRS Research Map | TGRS