Redesigning Python Programming Course in the Generative AI Era: An Italian Case Study...36th Medical Informatics Europe (MIE) Conference, May 25-28, 2026, Genoa, Italy.

This study presents the redesign of a Python programming course for medical students at the University of Pavia, integrating the Generative AI (GenAI) tool Gemini within Google Colab to support learning and problem-solving. To evaluate students' experiences, attitudes, and learning strategies, a two...

Descripción completa

Detalles Bibliográficos
Publicado en:Studies in Health Technology & Informatics Vol. 336; pp. 2185 - 2190
Autores principales: NICORA, Giovanna, LARIZZA, Cristiana, SCAGLIONE, Filippo, PARIMBELLI, Enea, QUAGLINI, Silvana
Formato: proceedings research tables/charts Journal Article
Publicado: Sage Publications Inc. 2026
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=194019281&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 194019281
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        09269630
        U1V
      jtl: Studies in Health Technology & Informatics
      issn: 09269630
      maglogo: N
    pubinfo:
      dt: 2026
      vid: 336
      pid: 344
      pub: Sage Publications Inc.
      place: Thousand Oaks, California
    artinfo:
      ui:
        194019281
        194019281
        194019281
        10.3233/SHTI260648
        194019281
      ppf: 2185
      ppct: 5
      formats:
      tig:
        atl: Redesigning Python Programming Course in the Generative AI Era: An Italian Case Study...36th Medical Informatics Europe (MIE) Conference, May 25-28, 2026, Genoa, Italy.
      aug:
        au:
          NICORA, Giovanna
          LARIZZA, Cristiana
          SCAGLIONE, Filippo
          PARIMBELLI, Enea
          QUAGLINI, Silvana
        affil: Department of Electronic, Computer and Biomedical Engineering, University of Pavia, Italy.
      sug:
        subj:
          Students, Medical Psychosocial Factors
          Programming Languages Education
          Artificial Intelligence, Generative
          Education, Medical
          Learning Methods
          Outcomes of Education
          Readability Evaluation
          Problem Solving Evaluation
          Student Experiences Evaluation
          Student Attitudes Evaluation
          Intention Evaluation
          Curriculum Development
          Congresses and Conferences Italy
          Italy
          Human
          Female
          Male
          Questionnaires
          Scales
          Content Validity
          Validation Studies
          Descriptive Statistics
          Item Analysis
          Female
          Male
      ab: This study presents the redesign of a Python programming course for medical students at the University of Pavia, integrating the Generative AI (GenAI) tool Gemini within Google Colab to support learning and problem-solving. To evaluate students' experiences, attitudes, and learning strategies, a two-part postcourse questionnaire was developed, combining an adapted Technology Acceptance Model (TAM) and the Learning Strategies Scale for Large Language Models (LSS/LLMs-6). A panel of domain experts assessed the questionnaire's content validity, yielding strong overall agreement (CVI = 0.98). The results highlighted the TAM's robustness and identified minor refinements needed for the LSS/LLMs-6 to better distinguish constructive (metacognitive) from dysfunctional (passive) GenAI use. This preliminary work, limited by the small expert panel and the absence of empirical data, sets the foundation for a larger study to be conducted at the end of the 2025/2026 academic year. Overall, the integration of GenAI in medical programming education offers a promising yet delicate opportunity to democratize access to computational tools while ensuring that AI acts as a means to enhance reasoning rather than replace it.
      pubtype: Academic Journal
      doctype:
        proceedings
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N