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Related Experiment Video

Updated: Aug 16, 2025

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
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Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative

María Consuelo Sáiz-Manzanares1, Laura Alonso-Martínez2, Alberto Calvo Rodríguez3

  • 1Department of Health Sciences, University of Burgos; mcsmanzanares@ubu.es.

Journal of Visualized Experiments : Jove
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PubMed
Summary
This summary is machine-generated.

This study introduces a protocol for Project-Based Learning (PBL) in health sciences education, integrating Educational Data Mining (EDM) and mixed methods. It assesses PBL

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Area of Science:

  • Educational Technology
  • Health Sciences Education
  • Pedagogical Innovation

Background:

  • Increasing demand for digital skills and problem-solving in higher education necessitates innovative teaching.
  • Health sciences degrees require graduates with effective problem-solving abilities.
  • Active learning methodologies are encouraged globally to meet evolving societal needs.

Purpose of the Study:

  • To present a protocol for implementing Project-Based Learning (PBL) in e-Learning and blended-Learning (b-Learning) settings.
  • To evaluate the effectiveness of PBL in occupational therapy higher education.
  • To guide the implementation of personalized educational strategies using data analytics.

Main Methods:

  • Application of Project-Based Learning (PBL) methodology.
  • Integration of Educational Data Mining (EDM) and mixed methods for monitoring.
  • Statistical analysis including analysis of covariance and unsupervised learning.
  • Data visualization for qualitative insights.

Main Results:

  • Detection of differences between e-Learning and b-Learning modalities regarding behavioral patterns, performance, and satisfaction.
  • Identification of PBL's effectiveness across different teaching modalities.
  • Insights into qualitative aspects of the learning process through data visualization.

Conclusions:

  • The protocol provides a framework for implementing PBL in health sciences, supporting personalized learning.
  • Data-driven insights enable teachers to refine PBL strategies for e-Learning and b-Learning.
  • This approach enhances the effectiveness of teaching and learning in higher education.