Interactive learning experiences: essential research and resources
A guided pathway through foundational and current evidence on interactive learning experiences.
This reading list is curated for educators, school leaders, MOE colleagues and research partners. It is selective rather than exhaustive. Begin with the first two items for orientation, then follow the items most relevant to your question.
Chernikova, O., et al. (2020). Simulation-based learning in higher education: A meta-analysis.
A major synthesis showing the importance of scaffolding, prior knowledge and reflection in simulation-based complex-skill learning. Most studies are from higher education and professional training.
PhET Interactive Simulations. Research and Design.
A practical account of an iterative, learning-goal-led simulation design process using student interviews, classroom research and inclusive design.
PhET Interactive Simulations. Facilitating Simulation Use.
Teacher-oriented guidance on learning goals, activity design, autonomy, inquiry and facilitation.
McKagan, S. B., et al. (2008). Developing and researching PhET quantum simulations.
A detailed example of how interactive representations can make abstract and invisible processes accessible while supporting model building.
Küchemann, S., et al. (2023). Interactive visualisation and quantum physics.
Shows how learners' representational competence and visual attention shape their use of interactive simulations.
Goagoses, N., et al. (2024). Social classroom climate in technology-enhanced K–12 environments.
Reminds designers that interaction quality and classroom climate matter alongside interface features.
How to read this evidence
Check the learner age, domain and setting before transferring a finding.
Distinguish technology or environmental features from the pedagogy used with them.
Look for comparison conditions, implementation duration and outcome measures.
Treat engagement and satisfaction as useful but insufficient evidence of learning.
Use the evidence to frame questions and pilots, not to assume that one design will work everywhere.