MACHINE LEARNING APPROACH TO EVALUATE AND ENHANCE THE TEACHING AND LEARNING IN SCIENCE, TECHNOLOGY, ENGINEERING AND MATHEMATICS (STEM) EDUCATION
OMOREGBE J., IHAMA E.I. AND OMORODION W.
ABSTRACT
The role of science, technology, engineering, and mathematics (STEM) in the development of any nation is very vital. these areas are important in international and national economic system, and it drives invention and improves the economy and work force improvement in gathering the recent realities. In other to achieve this aim, there is a demand for invention that will improve the economic system of the emerging time, this can only be accomplish through improvement in science and technology. The key rationale behind STEM education is to further critical intelligent skills, this would result in creating a more problem-solving workforce. The globe is tending towards a knowledge-based economic system, hence creating a problem-solvers that will provide solution to the complex difficulty of the future. This paper reviews literature in other to critically address the subject matter. A theoretic investigation of STEM education and machine learning is conducted to explain the link between the both. The central element of this report is the role of machine learning on STEM education, as rightly enacted. The Findings from this study reveals the current changes apparent globally, by and large, it is of the essence to leverage on STEM education in other to enhance any economy.