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Related Experiment Videos

Redesigning Python Programming Course in the Generative AI Era: An Italian Case Study.

Giovanna Nicora1, Cristiana Larizza1, Filippo Scaglione1

  • 1Department of Electronic, Computer and Biomedical Engineering, University of Pavia, Italy.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary
This summary is machine-generated.

This study redesigned a medical student Python course using Generative AI (GenAI) like Gemini. The evaluation found the Technology Acceptance Model robust, suggesting GenAI can enhance reasoning in computational education.

Keywords:
GeminiLLMeducationmedical studentstraining

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Area of Science:

  • Medical Education
  • Computational Science
  • Artificial Intelligence

Background:

  • Medical education increasingly requires computational skills.
  • Generative AI (GenAI) tools offer potential to support learning in technical subjects.
  • Integrating GenAI into programming courses for medical students is an emerging area.

Purpose of the Study:

  • To redesign a Python programming course for medical students.
  • To integrate the Generative AI (GenAI) tool Gemini into the course.
  • To evaluate student experiences, attitudes, and learning strategies regarding GenAI use.

Main Methods:

  • A redesigned Python course for medical students at the University of Pavia.
  • Integration of Gemini (GenAI) within Google Colab for learning support.
  • Development and expert validation of a two-part questionnaire combining the Technology Acceptance Model (TAM) and the Learning Strategies Scale for Large Language Models (LSS/LLMs-6).

Main Results:

  • The Technology Acceptance Model (TAM) demonstrated robustness in evaluating GenAI integration.
  • The Learning Strategies Scale for Large Language Models (LSS/LLMs-6) requires minor refinements to differentiate constructive from passive GenAI use.
  • Expert validation of the questionnaire showed strong content validity (CVI = 0.98).

Conclusions:

  • The redesign and evaluation framework provide a foundation for future empirical studies on GenAI in medical education.
  • GenAI integration in medical programming education is promising for democratizing computational tools.
  • Ensuring AI enhances reasoning rather than replaces it is crucial for effective implementation.