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International science, technology, engineering and mathematics (STEM) students : 4th report of session 2013-14 report

2014· other· en· W7038882022 sur OpenAlexaboutno aff

Notice bibliographique

RevueDigital Education Resource Archive (University College London) · 2014
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSession (web analytics)Engineering educationGraduate studentsComponent (thermodynamics)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

___________________________________________________________________________________________________________________________________________________________________________________________________________________The worldwide competition to attract the very best Science, Technology, Engineering and Mathematics (STEM) students is increasing.Higher education institutions (HEIs) across the globe are constantly striving to improve their offer and attract the best STEM students to their campuses.In particular, countries such as Australia, the USA and Canada are working hard and successfully to attract students.Attracting able STEM students from overseas is of vital importance to UK HEIs, domestic students and UK plc.International students (students from outside the European Economic Area) enrich the experience of domestic students, can provide skills needed for the growth and future of the UK economy and also help to cast the UK in a good light when they return to their country of origin-contributing to the UK's 'soft power'.Moreover, they contribute very significantly to university finances, often partly subsidising courses for domestic students, and they even sustain some courses of importance to the UK that would not be viable without their participation.The number of international STEM students choosing to study in the UK has fallen over recent years (by 8% in 2011/12 and a further 2% in 2012/13) and the total number across all disciplines fell by 1% in 2012/13.A variety of factors may contribute to this decline, and it is difficult to tease out the motivations of prospective international students with any great certainty.Nevertheless, the evidence we received in this inquiry suggested that changes to the immigration rules may well be deterring students from choosing to study in the UK.In particular, there has been a collapse in the number of Indian STEM students choosing to come and study in the UK (down by 38% in 2011/12 and a further 28% in 2012/13).It was put to us on numerous occasions that it was not the immigration rules as such that were deterring students, but their perception of the rules as a result of overblown rhetoric from Ministers and sometimes inflammatory media coverage in the UK and in overseas countries.The UK was seen as a destination that was unwelcoming to some international students.Social media were identified as one reason why negative images could now spread very rapidly.For young, inexperienced students, perception of a situation is key, and we would support all efforts to try and bring some more balance and consistency of messages to a debate which is often polarised and devoid of nuance.The extensive evidence we received, however, pointed to difficulties beyond simply those of perception, difficulties with some of the rules themselves, their complexity and instability.The UK's offer to prospective international students remains a good one; it is founded on academic excellence, but it has been diminished by perceived and real barriers so that the overall offer is not as competitive as it needs to be.Above all, we are concerned that Government policy is contradictory.The Government are simultaneously committed to reducing net migration and attracting increasing numbers of international students (15-20% over the next five years).This contradiction could be resolved if the Government removed students from the net migration figures.Students comprise a majority of non-EU immigrants, so it follows that the net migration target can only be met by reducing the number of international students coming to the UK-contrary to the Government's stated policy to grow numbers of international students.Despite repeated invitations, however, the Government have refused to remove students

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)0,005
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,231
Score d'incertitude au seuil0,772

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,004
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0030,000
Communication savante0,0060,002
Science ouverte0,0020,005
Intégrité de la recherche0,0030,003
Charge utile insuffisante (le modèle a refusé de juger)0,2310,181

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 Opus0,005
Tête enseignante GPT0,229
Écart entre enseignants0,224 · 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'étudeSans objet
Domainenon disponible
GenreAutre

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

En bref

Citations0
Publié2014
Routes d'admission1
Résumé présentoui

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