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Enregistrement W2083380430 · doi:10.1002/whe.10178

Mankato Initiative to Transform Teacher Education

2011· article· en· W2083380430 sur OpenAlexaboutno aff
Mary Lou Santovec

Notice bibliographique

RevueWomen in Higher Education · 2011
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueTeacher Education and Leadership Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMandateExcellencePolitical scienceEducational leadershipBachelorThe artsTeacher educationSociologyPedagogyManagementLibrary scienceMedical educationMedicine

Résumé

récupéré en direct d'OpenAlex

Minnesota State University Mankato recently got a mandate to significantly improve its teacher education program. Dr. Ginger Zierdt, associate professor of education leadership and director of the Center for School-University Partnerships, is on the front line. Mankato is one of 14 schools in the upper Midwest selected to partner in a historic teacher education initiative with the goal of improving teacher effectiveness. It will receive $6.2 million in funding for 10 years from the Archibald Bush Foundation, a Minnesota philanthropy. The new initiative has four strategies: recruiting potentially effective students; preparing at the pre-service level, placing at the in-service level and supporting through mentoring as the next generation of teachers. It uses “motion leadership” as its model, a phrase coined by Dr. Michael Fullan, an international leader on educational change and professor emeritus at the University of Toronto. He wrote the book Motion Leadership: The Skinny on Becoming Change-savvy (Corwin, 2009), which defines eight elements of the change process, which coincide with women's strengths as leaders: Zierdt spoke about how Mankato has tackled the first element of the initiative, change problems, at the 24th annual University of Nebraska conference on Women in Educational Leadership held in Lincoln in October. Mankato's teacher education unit faculty comes from arts and sciences and those teaching pedagogy courses. The goal is to create pipelines of strong candidates by identifying, involving, mentoring and advising diverse candidates with great potential to teach at all levels. The Mankato program significantly increases the amount of time teacher education candidates spend in the early childhood, preschool and K-12 classrooms. Most of the teacher preparation coursework is handled in the classroom and taught by teams of master teachers and faculty. Since candidates spend their days on-site in a real classroom, completing the coursework for their degree means online classes and after school classes each day. All candidates will also do at least six weeks of diverse field experiences either in Minneapolis, the state of Minnesota or internationally. So far eight districts have joined the program; Zierdt expects more to sign up. Using Fullan's model, the school wants to avoid the traditional “ready, fire, aim” process so prevalent in new initiatives. The “change problem” element seeks to put those in the correct order. He encourages paying attention to these nine insights: Relationships come first. If a leader comes on too strong, the culture rebels. If she's too respectful of the existing culture, she becomes part of the status quo. Change-savvy leaders listen to and learn from those in the trenches. They address people's concerns directly, obtaining buy-in for what needs fixing and developing a plan to fix it. Honor the implementation dip. Those who introduce change are usually not on the “battlefield” so they expect more than is actually deliverable. Change leaders move slowly, have a “moral commitment” to the cause and exhibit large amounts of empathy, Zierdt said. Beware of fat plans. A one-page plan that's clearly focused and simple gets better results than a 10-page treatise. Put behaviors before beliefs. Give people new experiences in non-threatening circumstances—with trusted peers and build on them—rather than expecting changes overnight. Communication is key at first. During this stage, the change-savvy leader constantly has two-way conversations to solve problems. Participants share a common vision and learn the strategy to put it into action. Learn about doing it while doing it. Many answers to problems can't be determined until a strategy is put into action and evaluated. Draw on the wisdom of the crowd and “Call it a good idea wherever it comes from,” said Zierdt. Excitement prior to action is fragile. High aspirations tend to dive dramatically during the activation phase. Change leaders acknowledge real problems, strive for small early successes, admit mistakes and protect their people. They also celebrate any success along the way. Take risks and learn. Mistakes are chances to learn. It's okay to be assertive. Change-savvy leaders combine assertiveness with humility. They respect complexity, use their knowledge without arrogance and recognize that they, too, are learners. Mankato administrators are so confident of success that they're guaranteeing the effectiveness of their graduates. The school will monitor them, offering three years of professional development and mentoring. “We're looking to see if there's student growth in three years by our teachers,” said Zierdt. For evaluation, Mankato has constructed a data system that includes “high quality performance assessments and surveys.” Predictive studies will allow the school to refine what's not working. The “skinny” of change, said Zierdt, begins with understanding that to get anywhere at all, you have to do something. Then you learn that you'll need specific skills, which will increase your clarity, resulting in ownership; working with others on it for shared ownership. Above all, never give up. “Persist no matter what,” she said. “Resilience is your best friend.” Contact: ginger.zierdt@mankato.edu or 507.389.5444.

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,554
Score d'incertitude au seuil0,994

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0060,000

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.

Tête enseignante Opus0,202
Tête enseignante GPT0,396
Écart entre enseignants0,194 · 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 tête enseignante, pas un consensus.

Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

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
Publié2011
Routes d'admission1
Résumé présentoui

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