Using RUFDATA to guide a logic model for a quality assurance process in an undergraduate university program

Area of Science:

• Educational Evaluation
• Program Development
• Quality Assurance in Higher Education

Background:

• Canadian universities require comprehensive quality assurance for undergraduate programs.
• Existing evaluation models need enhancement for effective program assessment.

Purpose of the Study:

• To present a framework for developing logic models for undergraduate program evaluation.
• To guide the quality assurance process through a structured evaluation approach.

Main Methods:

• Application of a modified RUFDATA (Saunders, 2000) evaluation model.
• Utilizing preliminary program evaluation data and curriculum audit.
• Incorporating stakeholder feedback and diverse data collection methods.

Main Results:

• A logic model blueprint can effectively guide comprehensive program evaluations.
• Inclusive stakeholder participation enhances feedback authenticity and accuracy.
• Diversified data collection ensures thorough exposure of stakeholder narratives.

Conclusions:

• The modified RUFDATA/logic model framework strengthens educational evaluation processes.
• Stakeholder inclusivity and varied data methods are crucial for accurate program feedback.
• Applying this framework university-wide can achieve economies of scale in quality assurance.