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Enregistrement W4312870636 · doi:10.57030/23364890.cemj.30.4.93

Factors Affecting Student’s Migration for Studying Abroad: A study of the Majha Region of Punjab

2022· article· en· W4312870636 sur OpenAlexaboutno aff
Ashutosh Verma Komalpreet Singh

Notice bibliographique

RevueCentral European Management Journal · 2022
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueMigration and Labor Dynamics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRivalryVariety (cybernetics)InstitutionTest (biology)Study abroadEconomic growthPolitical scienceDemographic economicsPsychologyMarketingSociologyBusinessEconomicsSocial scienceMathematics

Résumé

récupéré en direct d'OpenAlex

The global rivalry in the market for students to study abroad has been much fiercer in recent years. As a result of the increasing level of global competitiveness, a nation's and/or an institution's capacity to understand and satisfy the needs of the market is critical to its success in recruiting and maintaining foreign students. Migration has begun to take the place of senior secondary school as the primary route to higher education in several parts of India, notably in the state of Punjab. The choice to pursue an education in a foreign country is one that is heavily impacted by a variety of variables. The research was conducted on a group of one hundred and twenty students from the Majha district of Punjab (India) and have aspirations of moving to a new country. This research is an effort to analyze some of the elements that impact students' choices to study abroad based on the demographic features of the students themselves. The "t-test" was used to conduct the analysis independently. According to the data, it was shown that male students had a greater interest in studying in another country than female students. Rural kids, in contrast to their urban counterparts, have a strong interest in traveling outside of the country. In addition, students who are married and students who are part of traditional households have a greater influence on the choice to study abroad. The research has repercussions for both the development of policies and the evaluation of student mobility in actual practice. References Chen, L. H. (2007). Choosing Canadian graduate schools from afar: East Asian students’ perspectives. Higher Education, 54, 759–780 Deepika and Janki Aggarwal (2021). Factors Contributing to International Migration of Youth in Doaba region of Punjab Nawanshahr and Garhshankar, Punjab- An Empirical Study. Psychology and Education, 58(5), 3371-3381. Dinbabo, Mulugeta, and Sergio Carciotto. 2015. International migration in Sub-Saharan Africa (SSA): A call for a global research agenda. African Human Mobility Review, 154–77. Dora, M., Ibrahim, N., Ramachandran, S., Kasim, A., & Saad, M. (2009). A Study on Factors That Influence Choice of Malaysian Institution of Higher Learning for International Graduate Students. Journal of Human Capital Development, 2(1), 105-113. Eliason, S., Tuoyire, D. A., Awusi-Nti, C., & Bockarie, A. S. (2014). Migration Intentions of Ghanaian Medical Students: The Influence of Existing Funding Mechanisms of Medical Education (“The Fee Factor”). Ghana Medical Journal, 48(2), 78–84. 6. Gurinder Kaur , Gian Singh , Dharampal , Rashmi , Rupinder Kaur , Sukhvir Kaur , and Jyoti. 2021 Socio-economic and Demographic Analysis of International Migration from Rural Punjab: A Case Study of Patiala District Indian Journal of Economics and Development ,17(1), 55-67. Kaur, Gurjinder (2019), “Overseas Migration of Students from Punjab”,IJRAR - International Journal of Research and Analytical Reviews, 6(1), 1053-1059. Komalpreet ,S and Verma, A (2022, 9 24-25). Factors Affecting Student’s Intention to Study Abroad with reference to Majha Belt of Punjab. International conference on strategic perspective, Jalandhar, Punjab, India. Kim, S. (2015). The influence of social relationships on international students' intentions to remain abroad: multi-group analysis by marital status. The International Journal of Human Resource Management, 26(14), 1848-1864. doi:10.1080/09585192.2014.963137 Lee, E., & Moon, M. (2013). Korean nursing students' intention to migrate abroad. Nurse education today, 33(12), 1517-1522. Pimpa, N. (2005). Marketing Australian Universities to Thai Students. Journal of Studies in International Education, 9(2), 137-146. doi:10.1177/1028315305274857 Mazzarol, T, & Soutar, G. (2002) Push-pull factors influencing international students’ destination choice. The International Journal of Educational breaking-myth-here-indian-student-numbers- Management, 16 (2), 82-90. Nikhil Rampal, Reeti Agarwal (2022,February,2) Few jobs, bad pay, so why should we stay’? Behind Punjab youngsters’ rush for IELTS, migration . https://theprint.in/india/few-jobs-bad-pay-so-why-should-we-stay-behind-punjab-youngsters-rush-for-ielts-migration/837041/\ Padlee, S., Kamaruddin, A., & Baharun, R. (2010). International Students, Choice Behavior for Higher Education. International Journal of Marketing Studies, 2(2), 202-211. Rajan, S. Irudya and Wadhwan, Neha (2013), India Migration Report 2014, Routledge India, London 16. Rajeev Khanna (2020). COVID-19 could lead to spurt in Punjab migration: Study Retrieved from https://www.downtoearth.org.in/news/economy/covid-19-could-lead-to-spurt-in-punjab-migration-study-70478 Saeed Muhammad and Qaleed Khan Afridi. (2021). Factors Affecting the Migration Intentions of Business Students of Pakistan: Evidence from District Peshawar. Asian Social Studies and Applied Research (ASSAR) , 2(1) 1-8 Sanyukta Kanwal.(2022,February 18). Number of students who went abroad for higher education India 2016-2024.https://www.statista.com/statistics/1278194/india-number-of-students-who-went-abroad-for-studies/ Shanka, T., Quintal, V., & Taylor, R. (2005) Factors Influencing International Students' Choice of an Education Destination- A Correspondence Analysis, Journal of Marketing for Higher Education, 15(2), 31- 46 Sheikh, A., Naqvi, S. H. A., Sheikh, K., Naqvi, S. H. S., & Bandukda, M. Y. (2012). Physician migration at its roots: a study on the factors contributing towards a career choice abroad among students at a medical school in Pakistan. Globalization and Health, 8(1), 43. doi:10.1186/1744-8603-8-43 Tharenou, P. (2010). Women’s Self-Initiated Expatriation as a Career Option and Its Ethical Issues. Journal of Business Ethics, 95(1), 73-88. doi:10.1007/s10551-009-0348-x Vedat AKMAN (2014). Factors Influencing International Student Migration: A Survey and Evaluation of Turkey’s Case. International Journal of contemporary research in business, 5(11), 391-415. Vishal P. Deshmukh Mrs. Sankpal S.V( 2022). Factors influences for migration of Indian students.Journal of Positive School Psychology , 6(4), 381-386 Wuliji, T., Carter, S., & Bates, I. (2009). Migration as a form of workforce attrition: a nine-country study of pharmacists. Human Resources for health, 7(1), 32. doi:10.1186/1478-4491-7-32 Zeeshan, M., Sabbar, S., Bashir, S., & Hussain, R. (2013). Foreign Students’ Motivation for Studying In Malaysia. International Journal of Asian Social Science, 3(3), 833-84 Zachariah K.C.&Rajan, S.Irudaya (2015) “Dynamic of emigration and Remittances in Kerala: Results from the Kerala Migration Survey 2014” Working Paper 463 Users of Networking Sites in India

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,052
Score d'incertitude au seuil0,104

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0050,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,046
Tête enseignante GPT0,314
Écart entre enseignants0,268 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2022
Routes d'admission1
Résumé présentoui

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