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AI Chat GPT technologies in health sciences: A study with mathematical statistic correlation and probabilistic mission induction

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Original Article

Author Details : Venkateshwarla Rama Raju*

Volume : 11, Issue : 2, Year : 2024

Article Page : 55-60

https://doi.org/10.18231/j.jeths.2024.012

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Abstract

The purpose is to study the effect and influence of Chat GPT application in education technology on health sciences post graduates (PGs) task-initiation, applying the “cross-sectional” model through scholars and PG`s. The study observes the connections and relationships, i.e., correlations among the frequency-of Chat GPT interface plus pace of starting Academic-educational errands, using a normalized/systematized uniform (homogenous) scaling to errand induction next to lately built scaling to measure Chat GPT use. Using probability—statistical models bi variate correlation plus analysis-of-variance (ANOVA), such that it will detect patterns (signatures) of errand start amongst `non-users` and `end-users` of diverse versions of Chat GPT. Our findings show that the big depressing/off-putting correlation (=-0.511, p<0 xss=removed>  

Keywords: AI, Academic- educational, Behaviors, Scholars.

How to cite : Raju V R, AI Chat GPT technologies in health sciences: A study with mathematical statistic correlation and probabilistic mission induction. J Educ Technol Health Sci 2024;11(2):55-60

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