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iCBLS: An interactive case-based learning system for medical education.

Maqbool Ali1, Soyeon Caren Han2, Hafiz Syed Muhammad Bilal3

  • 1Department of Computer Science and Engineering, Kyung Hee University, Yongin 446-701, Republic of Korea; School of Engineering and ICT, University of Tasmania, Hobart, Tasmania 7005, Australia.

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Summary

This study introduces an interactive Case-Based Learning System (iCBLS) to enhance medical students

Keywords:
Case-based learningClinical caseMedical educationTeaching methodology

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Area of Science:

  • Medical Education
  • Clinical Reasoning
  • Digital Learning Tools

Background:

  • Case-Based Learning (CBL) is a student-centered methodology for developing clinical reasoning.
  • Medical education requires scalable, non-obtrusive methods for applying clinical skills.
  • Existing CBL methods may lack interactive and collaborative features for online learning.

Purpose of the Study:

  • To propose and evaluate an interactive Case-Based Learning System (iCBLS).
  • To support the development of collaborative clinical reasoning skills in medical students.
  • To assess the system's effectiveness and user satisfaction in an online environment.

Main Methods:

  • Development of the iCBLS with three modules: System Administration (SA), Clinical Case Creation (CCC), and Case Formulation (CF).
  • Implementation of a semi-automatic approach for clinical case creation.
  • Evaluation using the Context/Input/Process/Product (CIPP) model with a Glycemia study.
  • Two evaluations: system satisfaction (54 students) and system effectiveness (155 students).

Main Results:

  • High success rates observed across various aspects of the iCBLS.
  • Student interaction: 70% success rate.
  • Group learning: 76.4% success rate.
  • Solo learning: 72.8% success rate.
  • Improved clinical skills: 74.6% success rate.

Conclusions:

  • The iCBLS effectively supports collaborative clinical reasoning development in medical students.
  • The system demonstrates high user satisfaction and effectiveness in enhancing clinical skills.
  • The interactive and semi-automatic features contribute to a scalable online learning solution.