Understanding teaching in Polish MBA programs: a case study of perspectives of Polish academic teachers
Notice bibliographique
Résumé
Polish Higher Educational (HE) programs are currently undergoing the process of reorientation to meet the changing societal, economic and educational needs and demands as a result of the globally transforming Polish context. Among those, MBA (Master of Business and Administration) programs have been the most dynamically developing area in the Polish HE system in the last decade. While their innovative structures and format continue to be the focal point of research during the transformation period, the nature of teaching in these new programs is not as yet documented. This descriptive and interpretative inquiry focuses, therefore, on the latter concern and explores some of the current conceptualizations of teaching and development of professionals in the context of Polish MBA programs. Based on a Canadian model, these programs claim to help students to prepare for the challenges of the transforming business sector by providing them with solid understanding of management issues, opportunities to develop a variety of managerial skills and professional values, as well as encouraging the process of their ongoing professional development. This inquiry explores how these issues, disregarded by Polish academic teachers prior to 1990 and viewed as critical during the post-1990 period, have been integrated into their teaching in MBA programs. This study describes and interprets how Polish academic teachers understand the role of MBA programs in the Polish context and adapt them to local needs. It provides insights into teachers' evolving perspectives on teaching, learning and professional development, as well as the altering classroom practices as influenced by their experiences in a variety of contexts and situations. Finally, it considers a wide array of factors and forces that either encourage or affect the quality of teaching in Polish MBA programs. The literature on teaching in higher education in the countries of the former Eastern bloc focuses primarily on describing changing educational structures as viewed from the perspective of external researchers, rather than its immediate participants. This inquiry fills this gap and emphasizes the understanding of teaching in MBA programs from the standpoint of their teachers and students. It contributes to a better understanding of various factors that influence the nature and focus of teaching in Polish MBA programs.
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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 | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| 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 ».