Analysis of Worldwide Research Trends on the Impact of Artificial Intelligence in Education
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- Jee Hoon Lee & Jacob Wood & Jungsuk Kim, 2021. "Tracing the Trends in Sustainability and Social Media Research Using Topic Modeling," Sustainability, MDPI, vol. 13(3), pages 1-19, January.
- Seongyoun Hong & Taejung Park & Jaewon Choi, 2020. "Analyzing Research Trends in University Student Experience Based on Topic Modeling," Sustainability, MDPI, vol. 12(9), pages 1-11, April.
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- Francesca De Battisti & Alfio Ferrara & Silvia Salini, 2015. "A decade of research in statistics: a topic model approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 413-433, May.
- Hakyeon Lee & Pilsung Kang, 2018. "Identifying core topics in technology and innovation management studies: a topic model approach," The Journal of Technology Transfer, Springer, vol. 43(5), pages 1291-1317, October.
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- Rongbin Yang & Santoso Wibowo, 2022. "User trust in artificial intelligence: A comprehensive conceptual framework," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2053-2077, December.
- I-Cheng Chang & Tai-Kuei Yu & Yu-Jie Chang & Tai-Yi Yu, 2021. "Applying Text Mining, Clustering Analysis, and Latent Dirichlet Allocation Techniques for Topic Classification of Environmental Education Journals," Sustainability, MDPI, vol. 13(19), pages 1-20, September.
- Hsin-Yu Kuo & Su-Yen Chen & Yu-Ting Lai, 2021. "Investigating COVID-19 News before and after the Soft Lockdown: An Example from Taiwan," Sustainability, MDPI, vol. 13(20), pages 1-23, October.
- Sunghwan Hwang, 2022. "Examining the Effects of Artificial Intelligence on Elementary Students’ Mathematics Achievement: A Meta-Analysis," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
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Keywords
artificial intelligence; artificial intelligence in education (AIED); deep learning; machine learning; research trends; topic modeling; Latent Dirichlet Allocation (LDA); network analysis;All these keywords.
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