Volume 20 , Issue 2 , PP: 86-106, 2023 | Cite this article as | XML | Html | PDF | Full Length Article
Mohd Yasir 1 * , Aasim Zafar 2 , M. Anas Wajid 3
Doi: https://doi.org/10.54216/IJNS.200207
It is evident how crucial education is to a person's overall development. The knowledge of the economy and society is still in its infancy. In terms of social and economic elements, education has emerged as the most significant factor for individual and national growth. Given this context, it would be worthwhile to examine the New Education Policy 2020 for the benefits and impacts it has on the various stakeholders. Such analysis is important to fulfill the needs and objectives of NEP-2020. Despite having many universities and schools, Indian education still needs some improvements. Many Indian children still do not have access to education, and more importantly, the education system in India has not undergone significant reform in the last few decades, so changes must be made to keep up with the changing needs of society. The purpose of this study is to use the neutrosophic PESTEL analysis technique to mathematically identify and rank the major factors required to be identified for the successful implementation of NEP. Numerous factors that are grouped into six primary categories—political, economic, social, technological, legal, and environmental. These are presented by a thorough literature review of the subject. The present work employs neutrosophic PESTEL analysis, to identify the main obstacles to the implementation and execution of NEP-2020 in India. The study shows that social and economic factors, with 84% and 60% respectively play a significant role while political and technical factors are also important and come in second place since they each represent 25% and 34% of the barriers to the implementation of the NEP-2020. The last two factors are legal and environmental, contributing only 13% and 3%, respectively. The primary goal of the study is to identify and statistically rank the biggest obstacles to NEP-2020 implementation in India. In many aspects, this research will help government organizations and policymakers prioritize the main obstacles early in the implementation process as well as during execution, ensuring that the results are as anticipated and that the project is finished within the allotted time limit.
National Education Policy 2020 , Neutrosophic Logic , Neutrosophic Cognitive Maps , PESTEL Analysis.
[1] National Education Policy 2020, Ministry of Human Resource Development, Govt. of India.
https://www.education.gov.in/sites/upload_files/mhrd/files/NEP_Final_English_0.pdf
[2] “Ministry of Human Resource Development National Policy on Education 2016 Report of the
Committee for Evolution of the New Education Policy Government of India,” 2016.
[3] I., Majid, and S. Kouser, “Indian Higher Education from the Lens of National Policy of Education (1986)
and National Policy on Education (2016): A Comparative Study.” [Online]. Available:
https://www.researchgate.net/publication/358571519
[4] P. S. Aithal and S. Aithal, “Implementation Strategies of Higher Education Part of National Education
Policy 2020 of India towards Achieving its Objectives,” 2020. [Online]. Available:
https://ssrn.com/abstract=3741425
[5] “Florentin Smarandache Proceedings of the First International Conference on Neutrosophy,
Neutrosophic Logic, Neutrosophic Set, Neutrosophic Probability and Statistics,” 2001. [Online].
Available: http://at.yorku.ca/cgi-bin/amca/cagu-01.
[6] Perera and Rashian, The PESTLE analysis. Nerdynaut, 2017.
[7] Zafar, A., & Wajid, M. A. (2019). Neutrosophic cognitive maps for situation analysis. Infinite Study.
[8] Wajid, M. A., & Zafar, A. (2021). Pestel analysis to identify key barriers to smart cities development in
India. Neutrosophic Sets and Systems, 42, 39-48.
[9] S. A. Gray et al., “Using fuzzy cognitive mapping as a participatory approach to analyze change,
preferred states, and perceived resilience of social-ecological systems,” Ecology and Society, vol. 20,
no. 2, Jun. 2015, DOI: 10.5751/ES-07396-200211.
[10] P. S. Aithal and S. Aithal, “Analysis of the Indian National Education Policy 2020 towards Achieving
its Objectives,” 2020. [Online]. Available: https://ssrn.com/abstract=3676074
[11] Dr. V. J. Jyothi, “Quality Enhancement in Higher Education Through Innovative Teaching & Research:
A Special focus on Teacher’s Role,” Hyderabad, Mar. 2022.
[12] M. Pallavi, “A Role of Technology & Innovation in Higher Educational Institutions with Emerging
Technologies,” Hyderabad, Mar. 2022.
[13] V. Kalyani, K. Murugan, and D. Professor, “SCOPE OF SOCIAL WORK EDUCATION IN
NATIONAL POLICY 2020 Covid 19 View project Sustainable Development View project SCOPE OF
SOCIAL WORK EDUCATION IN NATIONAL POLICY 2020,” vol. 20, no. 5, pp. 2447–2450, 2021,
DOI: 10.17051/ilkonline.2021.05.266.
[14] N. Panakaje et al., “COVID-19 and its impact on educational environment in India”, DOI:
10.1007/s11356-021-15306-2/Published.
[15] A. P. Das, “EDUCATION AND ITS POLITICISATION: WITH INDIAN EXAMPLES.” Accessed:
Oct. 01, 2022. [Online]. Available:
https://www.researchgate.net/publication/330141893_EDUCATION_AND_ITS_POLITICISATION_
WITH_INDIAN_EXAMPLES
[16] R. H. Pathak and R. Pathak, “NATIONAL EDUCATION POLICY 2020: CAN IT IMPROVE
FACULTY MOTIVATION AND ACADEMIC OUTCOMES IN INDIA?” [Online]. Available:
www.irjmets.com
[17] A. Kumar, “New Education Policy (NEP) 2020: A Roadmap for India 2.0,” ADVANCES IN GLOBAL
EDUCATION AND RESEARCH, vol. 4, 2021.
[18] P. Kalyani, “An Empirical Study on NEP 2020 [National Education Policy] with Special Reference to
the Future of Indian Education System and Its effects on the Stakeholders: JMEIT,” Journal of
Management Engineering and information Technology (JMEIT), vol. 7, no. 5, 2020, DOI:
10.5281/zenodo.4159546.
[19] Onyema, E. M., Dalal, S., Romero, C. A. T., Seth, B., Young, P., & Wajid, M. A. (2022). Design of
intrusion detection system based on cyborg intelligence for security of cloud network traffic of smart
cities. Journal of Cloud Computing, 11(1), 1-20.
[20] Wajid, M. A., & Zafar, A. (2021). Multimodal Fusion: A Review, Taxonomy, Open Challenges, Research
Roadmap and Future Directions. Neutrosophic Sets and Systems, 45(1), 8.
[21] Zafar, A., & Wajid, M. A. (2020). A Mathematical Model to Analyze the Role of Uncertain and
Indeterminate Factors in the Spread of Pandemics like COVID-19 Using Neutrosophy: A Case Study of
India (Vol. 38). Infinite Study.
[22] Edeh, M. O., Dalal, S., Obagbuwa, I. C., Prasad, B. V. V., Ninoria, S. Z., Wajid, M. A., & Adesina, A.
O. (2022). Bootstrapping random forest and CHAID for prediction of white spot disease among shrimp
farmers. Scientific Reports, 12(1), 1-12.
[23] Kharya, S., Onyema, E. M., Zafar, A., Wajid, M. A., Afriyie, R. K., Swarnkar, T., & Soni, S. (2022).
Weighted Bayesian Belief Network: A Computational Intelligence Approach for Predictive Modeling in
Clinical Datasets. Computational Intelligence and Neuroscience, 2022.
[24] Wajid, M. S., Terashima-Marin, H., & Wajid, M. A. (2022). Violence Detection Approach based on
Cloud Data and Neutrosophic Cognitive Maps. Journal of Cloud Computing, 11(1), 1-18.
[25] Wajid, M. S., & Wajid, M. A. (2021). The Importance of Indeterminate and Unknown Factors in
Nourishing Crime: A Case Study of South Africa Using Neutrosophy. Neutrosophic Sets and Systems,
Vol. 41, 2021, 15.
[26] Wajid, M. A., & Zafar, A. (2019, July). Multimodal Information Access and Retrieval Notable Work and
Milestones. In 2019 10th International Conference on Computing, Communication and Networking
Technologies (ICCCNT) (pp. 1-6). IEEE.
[27] Ghouali, S., Onyema, E. M., Guellil, M. S., Wajid, M. A., Clare, O., Cherifi, W., & Feham, M. (2022).
Artificial Intelligence-Based Teleophthalmology Application for Diagnosis of Diabetics
Retinopathy. IEEE Open Journal of Engineering in Medicine and Biology.
[28] Mohd A. Wajid , Aasim Zafar, Neutrosophic Image Segmentation: An Approach for the Treatment of
Uncertainty in Multimodal Information Systems, International Journal of Neutrosophic Science, Vol. 19
, No. 1 , (2022) : 217-230 (Doi : https://doi.org/10.54216/IJNS.190117)
[29] Gupta, P. K., Siddiqui, M. K., Huang, X., Morales-Menendez, R., Pawar, H., Terashima-Marin, H., &
Wajid, M. S. (2022). COVID-WideNet—A capsule network for COVID-19 detection. Applied Soft
Computing, 122, 108780.
[30] Oneindia Correspondents, “New Education Policy 2020: Advantages and disadvantages of NEP”
Published: Friday, July 31, 2020, 12:13 [IST]. Accessed on Oct 20, 2022.
https://www.oneindia.com/india/new-education-policy-2020-advantages-and disadvantages-of-nep-3127811.html.
[31] Pandey A., Kumar A. “NEP 2020 implementation: Running the PESTLE risk analysis tool” Published:
October 19, 2020 4:45:07 am. Accessed on Oct 22, 2022. https://www.financialexpress.com/education-2/nep-2020-implementation-running-the-pestle-risk-analysis-tool/2108630/.
[32] "World Population Prospects 2022". population.un.org. United Nations Department of Economic and
Social Affairs, Population Division. Retrieved July 17, 2022.
[33] "World Population Prospects 2022: Demographic indicators by region, subregion and country, annually
for 1950-2100" (XSLX). population.un.org ("Total Population, as of 1 July (thousands)"). United
Nations Department of Economic and Social Affairs, Population Division. Retrieved July 17, 2022.
[34] “90% Of Indian Startups Will Fail Because Of Lack Of Innovation, Study Says”, Suparna Dutt D'Cunha,
90% Of Indian Startups Will Fail Because Of Lack Of Innovation, Study Says (forbes.com),
Retrieved July Oct 22, 2022