Related Experiment Video
Updated: Feb 11, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
Published on: August 29, 2025
Consensus on Quality Indicators of Postgraduate Medical E-Learning: Delphi Study
Robert Adrianus de Leeuw1,2, Kieran Walsh3, Michiel Westerman2
1Athena Institute for Transdisciplinary Research, VU University Amsterdam, Amsterdam, Netherlands.
This study identified 37 validated quality indicators for e-learning in postgraduate medical education. These indicators provide an empirically founded basis for evaluating e-learning effectiveness and ensuring quality standards.
Area of Science:
- Medical Education
- E-learning Quality Assurance
Background:
- E-learning is increasingly used in postgraduate medical education.
- Existing evaluation tools lack empirical foundation and are inconsistently applied.
Purpose of the Study:
- To identify an empirically founded set of quality indicators for e-learning.
- To establish a benchmark for effective "good enough" e-learning.
Main Methods:
- A Delphi procedure involving 13 international education experts and 10 e-learning users.
- Initial 57 items derived from literature review and focus groups.
- Consensus defined as >2/3 agreement rate.
Main Results:
- 37 out of 57 initial items were accepted in the first round; 15 new items were added.
- After two rounds, 37 items were accepted, and 34 were rejected due to lack of consensus.
- A final list of 37 validated quality indicators was established.
Conclusions:
- A validated list of 37 quality indicators for postgraduate medical e-learning evaluation was produced.
- This represents the first defined and validated set of quality indicators for this field.
- The next step involves developing and validating an e-learning evaluation tool based on these indicators.
Related Concept Videos
Indicators
Inhaled Medications
Quality Control
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Quality Assurance
Quality of Water
Avoidance Learning and Learned Helplessness
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...

