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Student Trend Analysis for Foreign Education Employing Machine Learning: A Case Study from ‘Disha Consultants’, Gujarat, India

Author

Listed:
  • Manan Shah

    (Pandit Deendayal Energy University)

  • Ameya Kshirsagar

    (Symbiosis Institute of Technology)

  • Tulasi Sushra

    (Pandit Deendayal Energy University)

Abstract

For many years, there has been literature on study abroad, student mobility, and international student exchange; however, the scope & depth of this work has expanded dramatically in the recent two decades. Most of this research in comparative education studies is rarely published in its primary publications. This study report aims to give a complete overview of the trends and difficulties surrounding international student recruiting and assist institutional leaders & administrators in making informed choices and effectively setting priorities. We have performed EDA testing, a thorough analysis that helps discover data distribution. It is essential for all domains because it exposes trends, patterns, and relationships that are not immediately apparent. EDA is the most effective approach to finding outliers, but it might lead us wrong if not done correctly. We demonstrated that our research gives a suitable pragmatic answer for future International study patterns among students by conducting thorough trend analysis of varying detailed data obtained from various sources.

Suggested Citation

  • Manan Shah & Ameya Kshirsagar & Tulasi Sushra, 2024. "Student Trend Analysis for Foreign Education Employing Machine Learning: A Case Study from ‘Disha Consultants’, Gujarat, India," Annals of Data Science, Springer, vol. 11(2), pages 571-588, April.
    • Handle: RePEc:spr:aodasc:v:11:y:2024:i:2:d:10.1007_s40745-022-00431-7
    DOI: 10.1007/s40745-022-00431-7
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    References listed on IDEAS

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    1. B. Shravan Kumar & Vadlamani Ravi & Rishabh Miglani, 2021. "Predicting Indian Stock Market Using the Psycho-Linguistic Features of Financial News," Annals of Data Science, Springer, vol. 8(3), pages 517-558, September.
    2. Jawad Abbas & Uthman Alturki & Misbah Habib & Ahmed Aldraiweesh & Waleed Mugahed Al-Rahmi, 2021. "Factors Affecting Students in the Selection of Country for Higher Education: A Comparative Analysis of International Students in Germany and the UK," Sustainability, MDPI, vol. 13(18), pages 1-17, September.
    3. Aman Khakharia & Vruddhi Shah & Sankalp Jain & Jash Shah & Amanshu Tiwari & Prathamesh Daphal & Mahesh Warang & Ninad Mehendale, 2021. "Outbreak Prediction of COVID-19 for Dense and Populated Countries Using Machine Learning," Annals of Data Science, Springer, vol. 8(1), pages 1-19, March.
    4. James M. Tien, 2017. "Internet of Things, Real-Time Decision Making, and Artificial Intelligence," Annals of Data Science, Springer, vol. 4(2), pages 149-178, June.
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