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Effectiveness of a Numerical Problem-Solving Module in Enhancing Renal Physiology Comprehension.

Mayank Agarwal¹, Manish Goyal², Priyadarshini Mishra²

¹Physiology, All India Institute of Medical Sciences, Raebareli, Raebareli, IND.

|July 11, 2026

Summary

This summary is machine-generated.

A new numerical problem-solving module significantly improved first-year medical students' understanding of renal physiology. This approach particularly benefited lower-achieving students, enhancing their analytical skills and confidence in the subject.

Keywords:

competency-based education medical education numerical analysis renal physiology teaching methods

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Area of Science:

Medical Education
Physiology
Quantitative Skills

Background:

Renal physiology presents significant challenges for medical students due to its complex and quantitative nature.
Traditional teaching methods often fall short in fostering deep conceptual understanding and analytical reasoning.
Competency-based medical education necessitates innovative pedagogical approaches in India.

Purpose of the Study:

To evaluate the effectiveness of a numerical problem-solving module in improving first-year medical students' comprehension of renal physiology.
To assess the impact of this module on conceptual understanding and analytical skills.

Main Methods:

A quasi-experimental, pre- and post-test intervention study was conducted with first-professional medical students.
The intervention involved small-group discussions of a 20-question renal physiology numerical problem-solving module following lectures.
Assessments included 17 multiple-choice questions (MCQs) administered via Google Forms, alongside a validated questionnaire for student perceptions.

Main Results:

Post-test scores showed a statistically significant improvement compared to pre-test scores (p < 0.001).
Students who initially scored lower on the pre-test demonstrated the most significant improvement in post-test scores (p < 0.001).
Student feedback overwhelmingly supported the module, citing increased engagement, deeper understanding, and improved peer collaboration.

Conclusions:

The numerical problem-solving module effectively enhanced students' understanding of renal physiology.
This intervention particularly benefited lower-achieving students, boosting their analytical abilities and confidence.
Numerical problem-solving modules show promise as a valuable addition to medical curricula for developing critical thinking skills.