This paper presents a systematic protocol for conducting A/B testing on digital educational resources, highlighting its relevance in optimising learning tools through empirical evidence. The proposed method structures the evaluation process with a strong emphasis on usability, pedagogical effectiveness, and data-driven decision-making.
1. Hypothesis-Driven A/B Testing
Description: Implementing A/B tests guided by explicit hypotheses ensures that both pedagogical and usability indicators are measured with precision.
Takeaway: A hypothesis-based experimental design increases the validity of results and drives informed iterative design decisions.
2. Engagement Metrics Integration
Description: Focus on educational metrics such as task completion time, accuracy rates, and interaction patterns to evaluate differences between control and experimental versions.
Takeaway: Leveraging behaviour-centred metrics enables meaningful refinement of the digital content.
3. Ethical & Educational Alignment
Description: Ethical implementation of A/B testing, with educational approval and careful consideration of its impact on students.
Takeaway: Upholding ethical and educational integrity protects users and reinforces the credibility of the resource.
Conclusion
This protocol positions A/B testing as a cornerstone in the design of digital educational resources, promoting informed iterations and improved learning outcomes. Future work includes extensive validation in real-world classroom environments.