Effects of a flipped learning – Project-based learning supported by GeoGebra on calculus achievement in engineering
Hernan Javier Lara-Saavedra 1 *
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1 Universidad Técnica Particular de Loja, Loja, ECUADOR* Corresponding Author

Abstract

Pre-class learning resources, collaborative classroom activities, project-based applications, and dynamic visualization afforded by GeoGebra collectively promote deeper engagement. Using descriptive statistics, normality assessment, and robust inferential procedures appropriate for non-normal distributions, Test #1 assessed performance on five differential calculus tasks. Of the 151 participants, 70.9% were assigned to the control group and 29.1% to the experimental group. Test #2 was designed across three item formats. Of the 143 participants, 69.2% were assigned to the control group and 30.8% to the experimental group. Levene’s test indicated that the homogeneity-of-variance assumption was not met, F (1, 149) = 24.49, p < .001. U statistic reduction from 1,071.0 (test #1) to 815.5 (test #2) reflects a more pronounced rank-order separation between groups on the second assessment. Aiming cognitive hierarchical level 3, students were encouraged to move beyond algorithm competency toward conversion from one semiotic representation system to another.

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

EURASIA J Math Sci Tech Ed, Volume 22, Issue 9, September 2026, Article No: em2901

https://doi.org/10.29333/ejmste/19125

Publication date: 11 Aug 2026

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