Quality of Evidence Synthesis Tool (QuEST)

The Quality of Evidence Synthesis Tool (QuEST) was developed by Dr Melissa Bond to help with appraising the quality of a variety of evidence syntheses across disciplines. So far, it has been used to appraise the quality of evidence synthesis in the fields of:

• Artificial intelligence in Education - e.g., Bond et al. (2024)
• Educational Technology - e.g., Buntins et al. (2023)
• Programming & Robotics - e.g., Forsström et al. (2024)
• Climate & Health - forthcoming
• Teacher continuing professional development & initial teacher education - forthcoming

The tool is being adopted by the Review of Education and the Journal of Open, Distance, and Digital Education (JODDE) to assist with editorial and peer reviewing processes. Researchers are encouraged to use this checklist when planning, undertaking and reporting their reviews, alongside other rigorous guidelines (e.g. PRISMA).

An editorial is planned for the Review of Education, alongside a full methodological article about QuEST.