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Assessment & Evaluation in Higher Education Volume 45, 2020 - Issue 3
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Articles

Pitfalls in using small number statistics in teaching evaluations: a case study

Stephen J. CurranVictoria University of Wellington, Wellington, New ZealandCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-1163-010X
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Pages 419-430 | Published online: 26 Sep 2019

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Krzysztof Rybinski & Elzbieta Kopciuszewska. (2021) Will artificial intelligence revolutionise the student evaluation of teaching? A big data study of 1.6 million student reviews. Assessment & Evaluation in Higher Education 46:7, pages 1127-1139.
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Articles from other publishers (3)

XiaoYan Chen. (2023) Linear regression active learning based on IRD algorithm. Linear regression active learning based on IRD algorithm.
Ming Zhang. (2022) Evaluation of Mathematical Models for Teaching Precision in the Framework of Big Data. Journal of Function Spaces 2022, pages 1-11.
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Laura Lohman. (2021) Evaluation of university teaching as sound performance appraisal. Studies in Educational Evaluation 70, pages 101008.
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