On Artificial Neural Networks’ Modelling of Non-Properly Prepared Teachers’ Implication on Students’ Academic Performance, Adopting Noisy Contaminated Optical Character Recognition (OCR)
This research looks into a multidisciplinary, intriguing, and crucial educational topic. The adopted phenomenon is inextricably linked to the educational environment’s clarity, which has an impact on the amplification and illumination of learning/teaching performance. It focuses on the serious problem of ill-prepared teachers negatively impacting pupils’ learning performance (achievement) in the classroom. The signal to…
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