Assessment Consistency At Scale: The Missing Infrastructure In Digital Learning

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Summary

This article argues that assessment consistency is a critical but often overlooked part of digital learning at scale. It explains that creating equivalent assessments is difficult, especially in math, because small changes in wording or context can alter difficulty and fairness. The piece emphasizes that teachers spend significant hidden time producing and validating multiple versions of tests, which affects workload and sustainability. It also suggests that structured tools and shared frameworks can help preserve teacher judgment while improving reliability and scalability.

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EduTech - institutions
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AI & Machine learning

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Educational Software SaaS AI-powered Learning Tools

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