John Hattie developed a way of making connections between various influences in different meta-analyses according to their effect size. In his ground-breaking study “Visible Learning” he ranked 138 influences that are related to learning outcomes from very positive effects to very negative effects. Hattie found that the average effect size of all the interventions he studied was 0.40. Therefore he decided to judge the success of influences relative to this ‘hinge point’, in order to find an answer to the question “What works best in education?” This list has since grown to over 250 influences, as of 2018, but the study is on-going and continues to be reevaluated and updated.
Influences, related to STEM and Maker Learning, that have potential to considerably accelerate achievement:
Meta-cognition Strategies (0.55)
Self-Efficacy (0.65)
Transfer Strategies (0.86)
Feedback (0.72)
Planning and Prediction (0.76)
Evaluation and Reflection (0.75)
Reciprocal Teaching (0.74)
Cognitive Task Analysis (1.29)
Creativity Programs (0.70)
(Information from Corwin Visible Learning MetaX)