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Related Experiment Video

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Using Learning Outcome Measures to assess Doctoral Nursing Education

Using Learning Outcome Measures to assess Doctoral Nursing Education

Published on: June 21, 2010

Ontological approach for competency-based curriculum analysis.

Marek Milosz¹, Aizhan Nazyrova^2,3, Assel Mukanova³

¹Department of Computer Science, Lublin University of Technology, 36B Nadbystrzycka Str., 20-618, Lublin, Poland.

|April 16, 2024

Summary

This study introduces a hierarchical model for educational competencies using semantic technologies. It enables detailed curriculum analysis and supports academic mobility through structured learning outcomes.

Keywords:

Curriculum Educational program Ontology Owlready2 Prerequisites Protégé Python SPARQL Semantic web

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Area of Science:

Educational Technology
Computer Science
Information Systems

Background:

Traditional curriculum design often lacks a structured, hierarchical approach to competency management.
Integrating diverse educational programs for academic mobility presents significant challenges.
Existing systems may not effectively model course prerequisites as dependencies between competencies.

Purpose of the Study:

To develop a novel model for competencies within educational programs using semantic technologies.
To implement a hierarchical data structure for organizing competencies with arbitrary nesting levels.
To create a method for modeling course input requirements based on competency dependencies.

Main Methods:

Development of a hierarchical data structure for competencies.
Implementation of semantic technologies for knowledge representation.
Creation of algorithms for data addition, retrieval, and curriculum consistency analysis.
Modeling course prerequisites as dependencies between competencies.

Main Results:

An ontological model of a competency-based curriculum was developed.
Algorithms for data management and consistency checking were implemented.
The model effectively represents complex competency relationships and course dependencies.
The system allows for analysis of curriculum consistency regarding prerequisites and learning outcomes.

Conclusions:

The proposed ontological model provides a robust framework for competency-based curriculum design.
The implemented algorithms facilitate efficient management and analysis of educational curricula.
This approach enhances the development of educational information systems and program constructors.
The model supports alignment of educational programs, facilitating academic mobility.