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ISO-690 (author-date, English)

MARTIN, Paul P., KRANZ, David und GRAULICH, Nicole, 2024. Revealing Rubric Relations: Investigating the Interdependence of a Research-Informed and a Machine Learning-Based Rubric in Assessing Student Reasoning in Chemistry. International journal of artificial intelligence in education. 2024. No. Band 48 (2024), p. Band 48 (2024). DOI 10.1007/s40593-024-00440-y.

Elsevier - Harvard (with titles)

Martin, P.P., Kranz, D., Graulich, N., 2024. Revealing Rubric Relations: Investigating the Interdependence of a Research-Informed and a Machine Learning-Based Rubric in Assessing Student Reasoning in Chemistry. International journal of artificial intelligence in education Band 48 (2024). https://doi.org/10.1007/s40593-024-00440-y

American Psychological Association 7th edition

Martin, P. P., Kranz, D., & Graulich, N. (ca. 2024). Revealing Rubric Relations: Investigating the Interdependence of a Research-Informed and a Machine Learning-Based Rubric in Assessing Student Reasoning in Chemistry [Electronic]. International journal of artificial intelligence in education, Band 48 (2024), Band 48 (2024). https://doi.org/10.1007/s40593-024-00440-y

Springer - Basic (author-date)

Martin PP, Kranz D, Graulich N (2024) Revealing Rubric Relations: Investigating the Interdependence of a Research-Informed and a Machine Learning-Based Rubric in Assessing Student Reasoning in Chemistry. International journal of artificial intelligence in education Band 48 (2024). https://doi.org/10.1007/s40593-024-00440-y

Juristische Zitierweise (Stüber) (Deutsch)

Martin, Paul P./ Kranz, David/ Graulich, Nicole, Revealing Rubric Relations: Investigating the Interdependence of a Research-Informed and a Machine Learning-Based Rubric in Assessing Student Reasoning in Chemistry, International journal of artificial intelligence in education 2024, Band 48 (2024).

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.