Sanz Ausin, M., Maniktala, M., Barnes, T., & Chi, M. (2023). The Impact of Batch Deep Reinforcement Learning on Student Performance: A Simple Act of Explanation Can Go a Long Way. International Journal of Artificial Intelligence in Education, 33(4), 1031-1056. https://doi.org/10.1007/s40593-022-00312-3
ISO-690 (author-date, English)SANZ AUSIN, Markel, MANIKTALA, Mehak, BARNES, Tiffany und CHI, Min, 2023. The Impact of Batch Deep Reinforcement Learning on Student Performance: A Simple Act of Explanation Can Go a Long Way. International Journal of Artificial Intelligence in Education. 1 Januar 2023. Vol. 33, no. 4, p. 1031-1056. DOI 10.1007/s40593-022-00312-3.
Modern Language Association 9th editionSanz Ausin, M., M. Maniktala, T. Barnes, und M. Chi. „The Impact of Batch Deep Reinforcement Learning on Student Performance: A Simple Act of Explanation Can Go a Long Way“. International Journal of Artificial Intelligence in Education, Bd. 33, Nr. 4, Januar 2023, S. 1031-56, https://doi.org/10.1007/s40593-022-00312-3.
Mohr Siebeck - Recht (Deutsch - Österreich)Sanz Ausin, Markel/Maniktala, Mehak/Barnes, Tiffany/Chi, Min: The Impact of Batch Deep Reinforcement Learning on Student Performance: A Simple Act of Explanation Can Go a Long Way, International Journal of Artificial Intelligence in Education 2023, 1031-1056.
Emerald - HarvardSanz Ausin, M., Maniktala, M., Barnes, T. und Chi, M. (2023), „The Impact of Batch Deep Reinforcement Learning on Student Performance: A Simple Act of Explanation Can Go a Long Way“, International Journal of Artificial Intelligence in Education, Vol. 33 No. 4, S. 1031-1056.