Can social semantic web techniques foster collaborative curriculum mapping in medicine?

Area of Science:

• Medical Education Technology
• Knowledge Management Systems
• Social Semantic Web

Background:

• Curriculum mapping is a complex, ongoing challenge in medical education.
• Existing IT tools and standards for curriculum management are insufficient.
• Second-generation systems aim to enhance knowledge management for learners, teachers, and administrators.

Purpose of the Study:

• To systematically adopt Social Semantic Web techniques for collaborative curriculum mapping.
• To implement a comprehensive medical model curriculum mapping system.
• To leverage standards for improved knowledge management in medical education.

Main Methods:

• Developed a semantic MediaWiki (SMW)-based application for curriculum mapping.
• Utilized a domain model and structured data entry for learning objectives (LOs).
• Integrated international medical classifications (ICD, MeSH) and user-generated folksonomies for semantic indexing.
• Implemented a consistency checking module using Object Constraint Language.
• Conducted a scenario-based formative usability study.

Main Results:

• The Aachen Catalogue of Learning Objectives (ACLO) contains approximately 5350 objectives.
• The wiki interface supports data entry and flexible searching via standard web browsers.
• Usability study yielded positive feedback on navigation and comprehensibility.
• Participants identified critical curriculum issues, demonstrating the system's revision support capabilities.

Conclusions:

• The SMW-based approach facilitates agile, computer-supported knowledge management.
• The system offers a feasible compromise between specific institutional needs and proprietary solutions.
• Standard Social Semantic Web formats and technology underpin the effective curriculum management solution.