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Synapse
May 27, 20260 citationsOpen Access

Exploring Generative AI as a Learning Partner: A Case Study in Prodrug Modelling

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FSFilip StypulaFFFun Man Fung

Key Points

  • This study aims to explore the impact of generative AI on prodrug modelling for student researchers.
  • Reflective case study on the use of AI for prodrug modelling
  • Examination of AI’s role in guiding learner through modelling stages
  • AI provided significant guidance in prodrug modelling stages
  • Identified strengths and weaknesses of AI supervision in learning context

Abstract

This paper explores how a student researcher used Artificial Intelligence to model a prodrug. The paper itself is a reflective case study that examines both the strengths and weaknesses related to learning through AI supervision. This piece touches on how AI could potentially expand Vygotsky's Zone of Proximal Development and then focuses on how AI guided a student researcher through each relevant stage of modelling a prodrug.

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Cite This Study

Stypula et al. (2026) studied this question.

synapsesocial.com/papers/6a168b770c924ddd1bd5a3behttps://doi.org/10.5281/zenodo.20355648
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Exploring Generative AI as a Learning Partner: A Case Study in Prodrug Modelling2026
  2. 2Implementing Generative AI in Pharmacy Experiential Education: A Practical Guide for Preceptors2026 · 2 citations
  3. 3Generative Artificial Intelligence in Medicinal Chemistry Education: Student Engagement, Confidence Calibration, and Safety-Related Uncertainty in Case-Based Learning2026
  4. 4Generative Artificial Intelligence Transitions Pharmaceutical Development from Empirical Screening to Predictive Molecular Design and Clinical Trial Optimization2026
  5. 5Piquing artificial intelligence towards drug discovery: Tools, techniques, and applications2024 · 32 citations