Abstract :
The influence of meditation and health awareness on students’ educational performance has been an area of growing interest. This study investigates how integrating mindfulness practices and health education enhances cognitive abilities, reduces stress, and improves academic outcomes. Utilizing data mining techniques, we analyze trends and correlations in student performance based on their involvement in meditation and health-conscious activities. The findings provide empirical evidence supporting holistic educational strategies for improved learning experiences.
Keywords :
Academic Success, Data Mining, Educational Performance, Health Awareness, Meditation.References :
- M. Smith and J. Briggs, “Mindfulness Meditations for Anxiety: 100 Simple Practices to Find Peace Right Now,” 2019. https://books.google.com/books/about/Mindfulness_Meditations_for_Anxiety.html?id=Zk0bvgEACAAJ.
- M. C. Davis, A. J. Zautra, L. D. Wolf, H. Tennen, and E. W. Yeung, “Mindfulness meditation: A research-proven way to reduce stress,”2015. https://www.apa.org/topics/mindfulness/meditation
- B. L. Seaward, “The Relaxation and Stress Reduction Workbook,” 9th ed., 2021. https://www.amazon.com/RelaxationReduction-Workbook-Harbinger-Self-Help/dp/1684033349.
- A. Banks, J. Welhaf, and H. Srour, “A New Form of Meditation for Stress Reduction,” 2015. https://www.psychologytoday.com/intl/blog/choosing-your-meditation-style/202104/new-form-meditation-stress-reduction.
- M. Hashmi, M. Vangel, S. P. Orr, and M. R. Milad, “Mindfulness meditation study shows changes in neural responses to pain and fear,” 2019. https://news.harvard.edu/gazette/story/2019/10/mindfulness-meditation-study-shows-changes-in-neuralresponses-to-pain-and-fear/.
- J. Coulon, S. Monroe, and A. Westbrook, “Mindfulness-Based Stress Reduction (MBSR) to Help Chronic Pain,” 2016. https://www.everydayhealth.com/chronic-pain/mindfulness-based-stress-reduction-and-chronic-pain/.
- M. L. Zeidan, S. K. Johnson, B. S. Diamond, Z. David, and P. Goolkasian, “Mindfulness meditation improves cognition: Evidence of brief mental training,” Consciousness and Cognition, vol. 19, no. 2, pp. 597–605, 2010. https://www.sciencedirect.com/science/article/abs/pii/S1053810010000611.
- M. E. Mrazek, M. D. Franklin, D. T. Phillips, B. Baird, and J. W. Schooler, “Mindfulness training improves working memory capacity and GRE performance while reducing mind wandering,” Psychological Science, vol. 24, no. 5, pp. 776–781, 2013. https://journals.sagepub.com/doi/10.1177/0956797612459659.
- A. Lutz, H. A. Slagter, J. D. Dunne, and R. J. Davidson, “Attention regulation and monitoring in meditation,” Trends in Cognitive Sciences, vol. 12, no. 4, pp. 163–169, 2008. https://www.sciencedirect.com/science/article/abs/pii/S1364661308000515.
- J. D. Creswell, “Mindfulness interventions,” Annual Review of Psychology, vol. 68, pp. 491–516, 2017. https://www.annualreviews.org/doi/10.1146/annurev-psych-042716-051139.
- V. Pandya, “Role of E-Learning based higher education in sustainable development,” E-Commerce Future. Trends, vol. 7, no. 2, pp. 20–23, 2023. http://dx.doi.org/10.1016/j.jclepro.2014.11.056.
- P. V. Kishorchandra, B. Vadher, R. Meghnathi, M. Raychura, and K. Keshwala, “A Comprehensive Review—Building A Secure Social Media Environment for Kids—Automated Content Filtering with Biometric Feedback,” International Journal of Innovative Research in Computer Science and Technology, vol. 12, no. 4, pp. 25–30, 2024. Available from: https://doi.org/10.55524/ijircst.2024.12.4.4
- V. Pandya, D. Monani, D. Aahuja, and U. Chotai, “Traditional vs. Modern Education: A Comparative Analysis,” SSRN Electronic Journal, vol. 11, no. 2, pp. 172–183, 2024. Available from: https://doi.org/10.2139/ssrn.4876084
- V. K. Pandya, J. K. Ramesh, M. V. Pankajbhai, “Practical and Theoretical Ethics in the Age of IoT and Big Data: Navigating the Digital Landscape with Implications for Educational Performance”, International Journal of Innovative Research in Engineering & Management (ijircst), Vol-13, Issue-2, Page No-1-5, 2025. Available from: https:/doi.org/10.55524/ijircst.2025.13.2.1
- Kishorchandra, P.V., Pandya Rajnikant, A. (2024). A Critical Analysis Using Data Mining Techniques to Predict Students’ Educational Performance: Analyzing the Impact of Non-intellectual Parameters. In: Goar, V., Sharma, A., Shin, J., Mridha, M.F. (eds) Deep Learning and Visual Artificial Intelligence. ICDLAI 2024. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978–981–97–4533–3_16