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Introduction to Themed PHE Issue on Accreditation in Higher Education: The Changing Role of the Federal Government in Regulating How Colleges and Universities Transparently Demonstrate Student Learning Outcomes Is the Reason for This Themed Issue of Planning

2012· article· en· W253182028 sur OpenAlexaboutno aff
Michael F. Middaugh

Notice bibliographique

RevuePlanning for higher education · 2012
Typearticle
Langueen
DomaineDecision Sciences
ThématiqueResearch, Science, and Academia
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAccreditationHigher educationPolitical scienceExcellenceGovernment (linguistics)CommissionPublic administrationAgency (philosophy)Public relationsSociologyLawSocial science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

I am pleased to write the introduction to this special themed issue of Planning for Higher Education, which focuses on the topic of accreditation in higher education. Accreditation is the lifeblood for most colleges and universities: without accreditation from an agency recognized by the U.S. Department of Education, no Title IV federal financial aid can flow into an institution. According to the Department of Education in its Federal Student Aid Annual Report, 2011, over $157 billion in student aid was disbursed to over 15 million students in postsecondary institutions throughout the country. Without that student aid, a significant number of institutions would simply be forced to close their doors. The evolution of postsecondary accreditation into this financial aid role has been an interesting odyssey. Quality assurance in higher education--in other words, accreditation--is built on a completely different premise in the United States than anywhere else in the world. The U.S. model traces its origins back to the late 19th century and is predicated on a system of to ensure that colleges and universities conform to standards that define excellence within postsecondary education. The terms voluntary and peer review are critical. Unlike in most other nations, there is no federal ministry overseeing quality assurance in U.S. colleges and universities. The process truly is both and defined. I had the good fortune to spend the past nine years as a commissioner with the Middle States Commission on Higher Education, one of six regional institutional accrediting bodies in the United States, including the last two as chair of the commission. During that time, I became thoroughly familiar not only with the accreditation standards and processes in the Middle States region, but also with those in the other regions as well. The concept of assessment--without governmental interference--of the extent to which colleges and universities comply with standards of educational excellence is a distinctly American value, a precious process we must not lose. I have had the opportunity over the years to consult with postsecondary institutions in Europe, Australia, South America, and Canada, all of which operate within a federal ministerial model of quality assurance. While making no judgment with respect to the relative effectiveness of the ministerial model when compared with the U.S. model of assessment, I can tell you that the former is far more prescriptive and bureaucratic and far less sensitive to the differences between and among institutional missions within higher education systems. In my view, the defining characteristic that makes American higher education great is the diversity of institutions that compose it and the capacity of accrediting bodies to recognize and understand that diversity while striving to assure educational excellence. Of particular importance to members of the Society for College and University Planning is the insistence by all six regional accrediting entities in the United States that institutions demonstrate continuous quality improvement rooted in strategic planning that makes effective use of evidence-based assessments. Not everyone in the United States shares my confidence in the effectiveness of a collegial approach to accreditation. As the accreditation process has evolved to its current gatekeeper role with regard to federal financial aid, and with hundreds of billions of dollars hanging in the balance, there have been increasingly more vocal calls for greater transparency and accountability in how we certify that institutions are meeting high standards in educating their students. Much of the dissatisfaction has come from employers who hire college graduates with diminished oral and written communication skills, questionable computational competencies, and inability to work collaboratively with others. The response of colleges and universities in general, and accrediting agencies in particular, has been a movement to outcomes-based evidence of compliance with accreditation standards. …

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)0,003
score de la tête « metaresearch » (Gemma)0,012
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: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,087
Score d'incertitude au seuil0,292

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,012
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0030,003
Communication savante0,0080,007
Science ouverte0,0020,004
Intégrité de la recherche0,0090,014
Charge utile insuffisante (le modèle a refusé de juger)0,0870,034

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 Opus0,073
Tête enseignante GPT0,398
Écart entre enseignants0,325 · 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
GenreÉditorial

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
Publié2012
Routes d'admission1
Résumé présentoui

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