Machine Learning Based Support System for Students to Select Stream (Subject)

(E-pub Ahead of Print)

Author(s): Kapil Sethi, Varun Jaiswal, Mohd Dilshad Ansari*.

Journal Name: Recent Patents on Computer Science

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Abstract:

In most of the countries, students have to select a subject/stream in secondary education phase. Selection of subject/stream is crucial for students because further their career proceeds according to their selection. Mostly subject/stream selection cannot be changed in the further career. Inappropriate selection of subjects due to parental pressure, lack of information etc. can lead to limited success in the selected stream. Guidance for subject/stream selection based on information of successful scholars of their stream and information of students such as interest, family background, previous education and other associated can enhance the success in career. A data mining and machine learning based methods were developed on the above information. Data from the different institution and students of two different streams were used for training and testing purpose. Different machine learning algorithms were used and methods with high accuracy (86.72) were developed. Developed method can be extended and used for different subject/stream selection.

Keywords: Secondary education, subject selection, support system, career, student, machine learning.

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Article Details

(E-pub Ahead of Print)
DOI: 10.2174/2213275912666181128120527
Price: $95