Machine learning-based predictive modeling of student counseling gratification: a case study of Aligarh Muslim University

被引：0

作者：

Shibli A.R. ^{[1
]}

Fatima N. ^{[1
]}

Sarim M. ^{[1
]}

Masroor N. ^{[1
]}

Bilal K. ^{[1
]}

机构：

[1] Department of Computer Science, Aligarh Muslim University, Aligarh

来源：

International Journal of Information Technology | 2024年 / 16卷 / 3期

关键词：

Counseling System; Data Analysis; Data Mining; Machine Learning;

D O I：

10.1007/s41870-023-01620-0

中图分类号：

学科分类号：

摘要：

Subject counseling may assist students in evaluating their courses and choosing the appropriate career path. This article intends to investigate, create, and apply efficient methods for assessing student course counseling, guidelines, and decision-making. We develop a way to automate the course selection recommendation using machine learning. One can realize what course will suit them based on historical data. We primarily focused on the detailed description and analysis of the dataset collected from the students that have already faced any online admission counseling session. A real dataset based on the diverse perspectives of pupils was designed. Over 100 students participated in the survey; their data were recorded, analyzed, and presented efficiently for the readers to understand. Due to limited data volume, the Synthetic Minority Oversampling Technique (SMOTE) has been used. Our work holds novelty to the existing system and usage. It can be further applied from the department to the university level. © The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management 2023.

引用

页码：1909 / 1915

页数：6

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