Foreign Faculty Hiring Program - FFHP: The Brain-Gain Drive of the Higher Education Commission in Pakistan
Notice bibliographique
Résumé
This thesis explores the strengths and weaknesses of the Foreign Faculty Hiring Program (FFHP) in Pakistan from the ‘participant’s perspective’. The purpose of this research was to disclose the prime interest of foreign faculty members in joining the FFHP in order to gain a deeper knowledge and understanding about their experiences during their current tenure. In addition, the aim was to determine how important role FFHP has played so far in reversing the brain-drain into brain-gain. Apart from this, the argument of this study was to reveal the fact that foreign faculty hiring does not appear to represent something unique. To support this argument the researcher presented a contextual framework based on Indian Muslim education system during the British rule in the 19th century India and described the pre-partition situation of higher education. Similarly, the post-partition history of higher education in Pakistan was also discussed to highlight the efforts of the Higher Education Commission (HEC) in Pakistan since 2000. The researcher has described the reform and expansion movement of HEC especially in the era of globalization and internationalization. To investigate issues related to this work, the researcher adopted a qualitative case study methodology incorporating some quantitative techniques. The data collection methods used in this research included documents (such as: historical texts, publications, government documents, official reports, online papers, etc.) and web self-administered questionnaire.\n\nThe Web-SAQ, consisting of 30 questions, was sent to foreign faculty members who joined the FFHP since 2004 onwards. From a total of 145 recipients, 43 male and female returned the online-questionnaire making an average of 30% response rate. The mean age of the participants, who represented 12 different countries and 5 continents of the world, was 53.20 years. The researcher examined and analyzed the data utilizing the “mixed methods approach” by using two different techniques: (1) basic descriptive statistics through reporting of percentages and mean responses of foreign faculty via SurveyGizmo, and (2) qualitative content analysis of open-ended responses. Data from this research confirms that almost 100% of respondents wanted to contribute in reversing the brain-drain and their overall satisfaction level towards FFHP was high. However, findings also indicate that foreign faculty members have experienced a variety of challenges and problems in terms of university politics and bureaucratic regulatory structure and as such have a great deal to cope with from an emotional point of view. Finally, the study reveals that foreign faculty members are not highly valued in Pakistan by their local counterparts. To address all such issues, the researcher has made some recommendations and well grounded suggestions which may be of interest to general readers as well as Higher Education researchers for further study.\n\nKey words: Higher Education, Foreign Faculty, Internationalization, Brain-Drain/Gain
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».