Md. Mehedi Rahman Rana; Md. Nasim Adnan; Md. Moradul Siddique; Md. Tahadur Rahman; Ferdib-Al-Islam

Predicting Education Level of the Farmers‟ Children of a Developing Country during COVID 19 Using Machine Learning

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Author(s)

Md. Mehedi Rahman Rana ¹ Md. Nasim Adnan ^2,* Md. Moradul Siddique ³ Md. Tahadur Rahman ⁴ Ferdib-Al-Islam ⁴

1. Department of CSE, Army University of Science and Technology (BAUST), Khulna

2. Department of CSE, Jashore University of Science and Technology, Jahore-7408, Bangladesh

3. Department of CSE, University of Information Technology and Sciences, Dhaka-1212, Bangladesh

4. Department of CSE, Northern University of Business & Technology, Khulna-9100, Bangladesh

* Corresponding author.

DOI: https://doi.org/10.5815/ijmecs.2024.06.07

Received: 5 Feb. 2024 / Revised: 15 Apr. 2024 / Accepted: 16 May 2024 / Published: 8 Dec. 2024

Index Terms

Dropout level of farmer‟s children, education level, education dropout, development of farmer‟s children education, predicting farmer‟s children education level

Abstract

Education is one of the necessities of an individual’s life, as it enhances the self-morality and nobility that leads one towards the challenging pathways of the competitive world. In the agricultural based country, education is scarce among the children of the farmers as they suffer from poverty. After affecting with COVID-19, study dropout rate of farmers’ children is increased. We collected raw data from rural areas of different countries, and pre-processed this data before applying the machine learning algorithm to improve the performance. We used advanced machine learning models to predict whether farmer’s children will run or drop out of their education. Based on the outcomes it was viewed that, machine learning strategies substantiate to be suitable in this area. This research proposes preventive steps for dropping out of the farmers' children. It also shows that, the Random Forest being the highest reliable model for foreseeing dropout rate and education level.

Cite This Paper

Md. Mehedi Rahman Rana, Md. Nasim Adnan, Md. Moradul Siddique, Md. Tahadur Rahman, Ferdib-Al-Islam, "Predicting Education Level of the Farmers’ Children of a Developing Country during COVID 19 Using Machine Learning", International Journal of Modern Education and Computer Science(IJMECS), Vol.16, No.6, pp. 94-107, 2024. DOI:10.5815/ijmecs.2024.06.07

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International Journal of Modern Education and Computer Science (IJMECS)