Journal of Occupational
Health and Epidemiology
Rafsanjan university Of medical sciences
Volume 15, Issue 2 (Spring 2026)
J Occup Health Epidemiol 2026, 15(2): 91-92 |
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Shayan Z, Madadizadeh F. AI-Enhanced Biostatistics Pedagogy: Personalization, Ethical Scrutiny, and Implementation Frameworks. J Occup Health Epidemiol 2026; 15 (2) :91-92
URL: http://johe.rums.ac.ir/article-1-1064-en.html
URL: http://johe.rums.ac.ir/article-1-1064-en.html
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AI-Enhanced Biostatistics Pedagogy: Personalization, Ethical Scrutiny, and Implementation Frameworks
1- Associate Prof., Dept. of Biostatistics, Trauma Research Center, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
2- Associate Prof., Center for Healthcare Data Modeling, Dept. of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran. ,madadizadehfarzan@gmail.com
2- Associate Prof., Center for Healthcare Data Modeling, Dept. of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran. ,
Article history
Received: 2025/06/3
Accepted: 2025/10/27
ePublished: 2026/10/5
Accepted: 2025/10/27
ePublished: 2026/10/5
Subject:
Occupational Health
Abstract: (15 Views)
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Keywords: No Keyword
References
1. Sachdeva M, Ailawalia P. Role of Statistics in Artificial Intelligence. Grenze Int J Eng Technol. 2024;10.
2. Chen L, Chen P, Lin Z. Artificial intelligence in education: A review. IEEE Access. 2020;8:75264-78. [DOI]
3. Xiong X, Wang Y, Beck JB. Improving students' long-term retention performance: a study on personalized retention schedules. Paper Presented at: The 5th International Conference on Learning Analytics and Knowledge; 2015 Mar 16; Poughkeepsie, New York, United States.
4. Wu R, Yu Z. Do AI chatbots improve students learning outcomes? Evidence from a meta-analysis. Br J Educ Technol. 2024;55(1):10-33. [DOI]
5. Wang J, Li J. Artificial intelligence empowering public health education: prospects and challenges. Front Public Health. 2024;12:1389026. [DOI] [PMID] [PMCID]
6. Baig T, Bandeali MM, Bhutto MY, Gul H. The Impact of Artificial Intelligence on Adaptive Learning: A Comparative Study of Traditional and AI-Based Pedagogies. Dialogue Soc Sci Rev. 2025;3(3):926-41. [URL]
7. Xu Z. AI in education: Enhancing learning experiences and student outcomes. Appl Comput Eng. 2024;51(1):104-11. [DOI]
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