Nie, R., Guo, Q., & Morin, M. (2023). Machine Learning Literacy for Measurement Professionals: A Practical Tutorial. Educational Measurement: Issues and Practice, 42(1), 9-23. https://doi.org/10.1111/emip.12539
ISO-690 (author-date, English)NIE, Rui, GUO, Qi und MORIN, Maxim, 2023. Machine Learning Literacy for Measurement Professionals: A Practical Tutorial. Educational Measurement: Issues and Practice. 1 Januar 2023. Vol. 42, no. 1, p. 9-23. DOI 10.1111/emip.12539.
Modern Language Association 9th editionNie, R., Q. Guo, und M. Morin. „Machine Learning Literacy for Measurement Professionals: A Practical Tutorial“. Educational Measurement: Issues and Practice, Bd. 42, Nr. 1, Januar 2023, S. 9-23, https://doi.org/10.1111/emip.12539.
Mohr Siebeck - Recht (Deutsch - Österreich)Nie, Rui/Guo, Qi/Morin, Maxim: Machine Learning Literacy for Measurement Professionals: A Practical Tutorial, Educational Measurement: Issues and Practice 2023, 9-23.
Emerald - HarvardNie, R., Guo, Q. und Morin, M. (2023), „Machine Learning Literacy for Measurement Professionals: A Practical Tutorial“, Educational Measurement: Issues and Practice, Vol. 42 No. 1, S. 9-23.