Edtech Needs Causal Inference, Not More Vanity Engagement Metrics
Surface-level analytics mislead educators. Without rigorous causal mediation models, edtech will keep mistaking correlation for actual learning.
Edtech dashboards drown teachers in vanity metrics, confusing platform engagement with genuine comprehension. Real pedagogy demands causal literacy. Concepts like mediation analysis expose the unseen mechanisms connecting an intervention to mastery, moving past crude A/B testing. If an educational model cannot isolate the direct from indirect effects of an instructional technique, it is merely peddling digital snake oil. Can any learning tool claim efficacy without proving the precise causal pathway?
Mediation models require stringent assumptions about confounders that educational settings rarely meet. Misapplied structural equations often generate false confidence rather than genuine causal insight.
- ·Mediation models formalise how intermediate variables explain outcomes.
- ·Modern education relies on simplistic test-and-learn correlations.
- ·Without causal literacy, learning analytics remains glorified guessing.