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Reliability and construct validation of the Blended Learning Usability Evaluation-Questionnaire with
Anish Kumar Arora1,2, Jeff Myers1, Tavis Apramian1
1Office of Education Scholarship, Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada.
The Blended Learning Usability Evaluation-Questionnaire (BLUE-Q) shows high reliability and validity for evaluating blended learning programs. This tool aids in program improvement and research in health professions education.
Area of Science:
- Health Professions Education
- Educational Technology
- Program Evaluation
Background:
- Blended learning is increasingly used in professional development.
- Evaluating the usability of these programs is crucial for effectiveness.
- Existing tools may not fully capture the nuances of blended learning environments.
Purpose of the Study:
- To establish the reliability and construct validity of the Blended Learning Usability Evaluation-Questionnaire (BLUE-Q).
- To provide evidence for BLUE-Q's utility in assessing blended learning programs for interprofessional clinicians.
Main Methods:
- Forty interprofessional clinicians completed the BLUE-Q after a blended learning program.
- Cronbach's alpha was used to assess reliability for BLUE-Q sections and the total scale.
- Construct validity was evaluated using the Grand-Guillaume-Perrenoud et al. framework (congruence, convergence, credibility).
- Descriptive statistics and qualitative comment analysis were performed.
Main Results:
- Cronbach's alpha values ranged from 0.85 to 0.96, indicating high reliability.
- High mean ratings were observed across pedagogical usability, synchronous, and asynchronous components.
- Qualitative data supported construct validity, with 88% congruent and 79% convergent responses.
- Analysis of comments yielded 5 categories for program improvement.
Conclusions:
- The BLUE-Q is a reliable and valid instrument for evaluating blended learning programs.
- It serves as a valuable tool for program evaluation, quality improvement, and research in health professions education.
- Findings support the use of BLUE-Q in diverse interprofessional learning contexts.
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