Emerging Research of Artificial Intelligence in Education: A Literature Survey
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-68660-3_4
Reference38 articles.
1. Chaudhry, M.A., Kazim, E.: Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021. AI Ethics 2(1), 157–165 (2021). https://doi.org/10.1007/s43681-021-00074-z
2. Liu, J., Wu, X.: Prototype of educational affective arousal evaluation system based on facial and speech emotion recognition. Int. J. Inf. Educ. Technol. 9(9), 645–651 (2019). https://doi.org/10.18178/ijiet.2019.9.9.1282
3. Ouyang, F., Wu, M., Zheng, L., Zhang, L., Jiao, P.: Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course. Int. J. Educ. Technol. High. Educ. 20(1), 4 (2023). Article 4. https://doi.org/10.1186/s41239-022-00372-4
4. El Mrabet, H., Ait Moussa, A.: A framework for predicting academic orientation using supervised machine learning. J. Ambient. Intell. Humaniz. Comput. 14(12), 16539–16549 (2022). https://doi.org/10.1007/s12652-022-03909-7
5. Lin, C.-C., Huang, A.Y.Q., Yang, S.J.H.: A review of AI-driven conversational chatbots implementation methodologies and challenges (1999–2022). Sustainability 15(5), 4012 (2023). https://doi.org/10.3390/su15054012
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