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CenterLine

Michelle Boyer

ESSA

Balancing Skepticism and Utility in Machine Scoring

Understanding How Machine Scoring Can Be Used Now, and What We Need to Do to Expand Its Usefulness for the Future

Without a doubt, the public is skeptical about using machine scoring for examinees’ written responses. This skepticism makes sense because we know that machines do not score all elements of writing equally well. Machines do not “understand” creativity, irony, humor, allegory, and other literary techniques, opening them to criticism for their insufficiency in evaluating some of these more subtle qualities of writing. 

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Assessment Accountability

Beyond Faster and Cheaper, Could Automated Scoring Produce Better Scores?

Using Advances in Technology to Improve the Quality of Educational Assessment

Earlier this month, the Center for Assessment held its 15th annual colloquium, the first named in honor of Center co-founder, Brian Gong. The Brian Gong Colloquium is a two-day meeting arranged by the Center for Assessment to discuss select topics of importance in testing and accountability with recognized experts. 

The 2019 meeting focused on the present and future use of learning analytics, machine learning, and artificial intelligence in educational assessment, and highlighted topics including:

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