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How AI is reshaping grading practices for STEM teachers
Grading is a common challenge for STEM teachers at secondary and higher education levels, especially when evaluating complex assignments designed to support student mastery of their subject. However, AI looks set to be of assistance.
Answer complexity, time-intensive manual grading, and the interpretative nature of many STEM assessments can strain teacher time, and risks impacting both grading equity and the quality of student feedback.
With often large cohorts of learners, how can STEM teachers ensure effective, equitable grading that supports individual student’s growth and development? AI could hold the answer.
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