Paper Title
Mining Educational data to guide students to predict the upcoming higher educational career
Article Identifiers
Authors
AVL Chandima
Keywords
Education, Education data mining, Higher Education, Higher Education Career, Hypothetical statistical analysis, t test
Abstract
Sri Lankan Institute of Advance Technological Education (SLIATE)[1] is a leading higher education institute in Sri Lanka. It has been focusing on fostering Advanced Technical Education at post-secondary level. It is mandated to establish Advanced Technological Institutes (ATI) in every province for technological education. At present it manages and supervises 19 ATIs. Higher education career selection is a vital for anyone’s future life. There is lot of factors affecting for this such as Ordinary Level and Advanced level results, Student career interest, Family Background, Future occupation interest, etc. Students concern only their educational grades for selecting their career path. But students or education managers don’t analyze the large amount collected registration data for gain the valuable knowledge to direct the students to select the proper higher educational career path.
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How To Cite (APA)
AVL Chandima (May-2024). Mining Educational data to guide students to predict the upcoming higher educational career. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), I172-I176. https://ijnrd.org/papers/IJNRD2405819.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : I172-I176
Other Publication Details
Paper Reg. ID: IJNRD_222836
Published Paper Id: IJNRD2405819
Downloads: 000121977
Research Area: Science & Technology
Country: Kadawatha, Western, Sri Lanka
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405819.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405819
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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