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November 30, 2025Machine Learning and Data Science in Geotechnics

Large language models for automated grading in geotechnics

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Automated grading system enhanced efficiency and provided immediate feedback for technical reports in geotechnics.
Grading system achieved consistent assessments through cosine similarity, comparable to human graders.
Mixed-methods approach employed LLMs to facilitate real-time feedback on open-ended questions in training.
Ethical considerations related to data privacy and fairness were integral to responsible AI deployment in education.

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Mixed-methods approach improved student learning and consistency in grading technical reports, indicating the potential of machine learning tools.

Enrico Soranzo (2025) studied this question.

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Mixed-methods approach improved student learning and consistency in grading technical reports, indicating the potential of machine learning tools.