SCIENTIFIC RESEARCH IN THE EDUCATION FIELD AS A CONDITION OF PROVIDING QUALITY OF STUDY IN UNIVERSITIES OF THE WORLD
Pourquoi ce travail est dans la base
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Notice bibliographique
Résumé
The article is devoted to the analysis of scientific researches of the best universities in the world providing training in the field of education and their impact on the quality of education. The analysis is based on the results of the QS World University Rankings in Education, which identified the top ten universities in the world in 2019, which train specialists in education. In the article the general directions and topics of scientific researches, as well as specific ones, specific to each university are highlighted. The author reveals the peculiarities of the research work of the best universities in the world in the field of education and its relationship with the quality of education. Particular attention is paid to the criteria of quality (success) of the activities of universities, and research in particular. The article emphasizes that analyzing the educational research of the best universities in the world as a condition of ensuring the quality of education can be very useful for the development of education (and not just pedagogical) in Ukraine. It is noted that a high level of educational research will help Ukrainian education to achieve modern quality of study, to provide it on a research basis and to become practically oriented. The author defines the key characteristics of successful research universities, including the following: • availability of basic and applied research in contemporary areas and topics; • carrying out research work focused on the practical results of the research; • a wide range of disciplines included in the educational program in any specialty; • a high proportion of postgraduate research programs; • high level of external income of the university, which is ensured by the implementation of research results; • international recognition of research findings and prospects for their further development. According to the QS World University Rankings, the top ten universities in the world that provide training in education are: 1. University College London, (UCL), (United Kingdom); 2. Harvard University, (USA); 3. Stanford University (USA); 4. University of Oxford, (United Kingdom); 5. University of Cambridge, (United Kingdom); 6. University of Hong Kong, (Hong Kong); 7. University of Toronto, (Canada); 8. Berkeley University, California, (USA); 9. Columbia University, New York, (USA); 10.University of California (Los Angeles), USA By looking at research topics, you can distinguish topics that are most commonly found in universities. In this case, we are referring to non-standard general topics of pedagogical research such as: educational policy, organization and improvement of training, development of standards of teaching, didactics of learning, etc. They are present in the scientific research of the best universities, but the most important place is occupied by the research topics that characterize the current stage of development of education in the world, with all its features, influences and main trends. For example, almost all the best universities in the world are researching on human rights and equity in education. A striking example of such research can be the scientific theme of the Pedagogical Institute of Hong Kong University "Justice and Social Justice in Education". Another important theme that unites the best universities is the topic of developing critical thinking and developing critical media literacy skills for students and students. An example of such research is the Teachers' Training Program for Critical Media Literacy Skills in Students at the Teachers at the University of California, Los Angeles, USA.
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.
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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 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 découle