Ask better questions. Read evidence carefully. Make proportionate decisions.

Move from available numbers to defensible action through Question → Evidence → Interpretation → Decision → Action.

• From Dashboard to Decision: Data Literacy for Educators — Read educational data critically, distinguish measures from constructs, notice uncertainty and bias, triangulate evidence and turn patterns into better questions and decisions.
• Evidence Before Action — Test whether the evidence is fit for the claim before committing time, money or learner experience to an intervention.
• Triangulate It — Combine genuinely different sources of evidence to test a pattern, expose blind spots and improve the next question.
• When the Data Disagrees — Use disagreement between sources to uncover differences in definition, timing, population, context and experience instead of forcing a premature conclusion.
• Data Dive: From Numbers to Next Steps — Move through a disciplined data inquiry from a real question to evidence, interpretation, a proportionate decision and a monitorable next action.
• The Story Behind the Number — Build responsible evidence narratives that connect quantitative patterns with context, variation and voice without turning correlation into a deficit story.
• Is Technology Actually Helping? — Use practical evidence to decide whether a technology-rich learning design is improving access, thinking, feedback, collaboration or outcomes—and what to change if it is not.
• Technology for Every Learner: An MTSS Lens — Examine how technology can support universal provision, targeted and intensive supports, progress monitoring and data-based decisions within MTSS.