Soft Computing Approach for Student Dropouts in Education System

Title

Soft Computing Approach for Student Dropouts in Education System

Creator

Sybol S.S.; Srivastava S.; Sharma H.

Description

The education system has increased the number of dropouts in the coming years, decreasing the number of educated people. Education system refers to a group of institutions like ministries of education, local education bodies, teacher training institutes, universities, colleges, schools, and more whose primary purpose is to provide education to all the people, especially young people and children in educational settings. The research aims to improve the student dropout rate in the education system by focusing on students performance and feedback. The students dropout rate can be calculated based on complexity, credits, attendance, and different parameters. This study involves the extensive study that inculcates student dropout with their performance and other parameters with soft computing approaches. There are various soft computing approaches used in the education system. The approaches and techniques used are sequential pattern mining, sentimental analysis, text mining, outlier decision, correlation mining, density estimation, etc. The approaches and techniques will be beneficial to calculating and decreasing the rate of dropout of students in the education system. The research will make a unique contribution to improved education by calculating the dropout rate of students. In particular, we argue that the dropout rate is increasing, so soft computing techniques can be the solution to improvise/reduce the dropout rate. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Source

Lecture Notes in Networks and Systems, Vol-547, pp. 325-335.

Date

2023-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Education; Educational technology; Soft computing

Coverage

Sybol S.S., CHRIST (Deemed to be University), NCR, Delhi, India; Srivastava S., CHRIST (Deemed to be University), NCR, Delhi, India; Sharma H., Sheffield Hallam University, Sheffield, United Kingdom

Rights

Restricted Access

Relation

ISSN: 23673370; ISBN: 978-981196524-1

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-19-6525-8_25

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