IOSR Journal

Paper Type	:	Research Paper
Title	:	Harnessing AI-Powered Simulation Tools For Enhanced Physics Teacher Education: A Comprehensive Review
Country	:	Nigeria
Authors	:	Emmanuel Nkoro Asagha
	:	10.9790/019X-13020108

Abstract: This study explores the potential of AI-powered simulations to enhance particularly, physics teacher education and in general, science teacher education, in Nigeria and across Africa. Solar radiation modeling, AI-powered simulation framework using artificial neural networks (ANNs) and gamma testing developed to predict global solar radiation patterns are discussed. The paper also discusses AI-powered tools, such as virtual teaching assistants......

Keywords: AI-Powered simulations, Physics Education, Solar radiation modeling, Teacher Education in Africa.

[1]. Adewale, A. O., & Oluwatola, O. I. (2021) Artificial Intelligence In Education: A Review Of The Literature. Journal Of Educational Computing Research, 64(4), 489-506.
[2]. Adeyemi, O. J. Et Al. (2022) Artificial Neural Network Model For Predicting Solar Radiation In Nigeria. Journal Of Physics: Conference Series, 2191(1)012014.Doi:10.1088/1742-6596/2191/1/012014.
[3]. Adom, P. K., & Amponsah, M. (2016) Solar Energy Potential In Ghana: A Review. Renewable And Sustainable Energy Reviews, 60, 1261-1271.
[4]. Almasri, F. (2022). Simulations To Teach Science Subjects: Connections Among Students’ Engagement, Self-Confidence, Satisfaction, And Learning Styles. Education And Information Technologies, 27(5), 7161–7181.
[5]. Asagha E. N & Udo, S. O. (2014) Predicting Global Solar Radiation Using Gamma Test And Local Linear Regression Data Models In Bauchi , Nigeria, International Journal Of Science And Research (IJSR), 1375-1381

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