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DATA-SENSE / EXPLORE

Insights & Perspectives

Ideas, experiments and explanations that earn their claims.

What you can expect

As articles are published, this space can host explainers about data literacy, AI evaluation, research methods, teaching practice and technology design. Articles should carry author attribution, a date and any significant corrections.

Editorial standards

Separate observation from interpretation. Cite primary sources where practical. Identify uncertainty and avoid treating a proof of concept as a proven deployment.

Editorial register: No articles are presented as published until they have been written, reviewed and dated.