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 editionMartin, 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).