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Enregistrement W125799295

Resilience as a Contributor to Novice Teacher Success, Commitment, and Retention

2008· article· en· W125799295 sur OpenAlexaboutno aff
Melanie Tait

Notice bibliographique

RevueTeacher education quarterly (Claremont, Calif.) · 2008
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueYouth Development and Social Support
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPsychologyCompetence (human resources)BurnoutStressorContext (archaeology)Psychological resilienceTeacher educationCommitFaculty developmentPedagogyAttritionProfessional developmentMathematics educationSocial psychology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Novice teachers often struggle in their first year. Some succumb to illness, depression, or burnout, and some even decide to abandon teaching as a career option. The classic stressors identified by new teachers have been remarkably consistent over the years, and their challenges have been well chronicled (Corcoran, 1981; Gordon & Maxey, 2000; Gratch, 1998; Huberman, 1989; McIntyre, 2003; Veenman, 1984). Less has been written, however, about the strengths (Aspinwall & Staudinger, 2003, p. 13) that novice teachers demonstrate when they confront and overcome the stress of first-year teaching. In this article, I will focus on novice teachers' resilience as one of the assets that many beginners bring to their first teaching position and on the relationship between resilience and two related human strengths, personal efficacy and emotional competence. I will briefly review the literature on resilience, personal efficacy, and emotional intelligence, and these three concepts will be compared and contrasted within the context of novice teacher success and retention. I will use the profile of a novice teacher in Toronto, Ontario, to illustrate how beginning teachers cope with problems and overcome difficulties, remain optimistic about their choice of profession, and commit to teaching over the long term. I will discuss possible implications for faculties of education, school boards, and schools. Finally, I will make several suggestions for future research. Novice Teacher Attrition Teaching is one of the few professions in which beginners have as much responsibility as their experienced colleagues. New teachers carry full teaching loads and handle just as many other duties (supervision, extra-curricular, paper work, parent interviews, and report cards for example) as their higher paid co-workers. They often have more difficult subject combinations and more challenging students to manage (Gordon & Maxey, 2000; Kosnik & Beck, 2005; McIntyre, 2003). In addition, many novice teachers fear that if they ask for assistance, they will appear incompetent or poorly prepared (Glickman, Gordon, & Ross-Gordon, 1998; Gold, 1996; Scherer, 1999). The shocking attrition rate among new teachers is a persistent and pervasive problem in many jurisdictions. In Ontario, Canada, where the current study was conducted, McIntyre (2003) predicted that, by the second year of teaching, about 18% of new Ontario teachers would be at risk of leaving the profession. Studies conducted in the United States, Australia, and Great Britain confirm similar or higher early teaching attrition rates (Darling-Hammond, 2003; Feiman-Nemser, Carver, Schwille & Yusko, 1999; Howard & Johnson, 2004; Ingersoll & Smith, 2003; Stoel & Thant, 2002). According to McIntyre (2003), new teachers at risk of leaving the profession express strong dissatisfaction with their teaching assignments, and frustration with the politics of their profession, the lack of adequate resources, and inadequate mentoring support. These findings echo those in other North American studies, which report that novice teachers' initial optimism can turn to pessimism as the year progresses and the reality of teaching sets in (Brock & Grady, 2001; Darling-Hammond, 1997; Gold & Roth, 1999; Hargreaves & Fullan, 1999; Moir, 1999). Novice teacher resilience, bolstered by personal efficacy and emotional competence, may be key to helping beginning teachers become more capable, more confident, and more committed to teaching over the long term. Resilience, Personal Efficacy, Emotional Intelligence, and Novice Teaching Resilience, personal efficacy, and emotional intelligence are terms that describe similar dimensions of human behavior. Resilience is a mode of interacting with events in the environment that is activated and nurtured in times of stress. Grotberg (1997) defines resilience as the capacity to face, overcome, and even be strengthened by experiences of adversity (p. …

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)0,001
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: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,012
Score d'incertitude au seuil0,024

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,012
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,002
Communication savante0,0030,001
Science ouverte0,0010,004
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,025
Tête enseignante GPT0,323
Écart entre enseignants0,298 · 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'étudeObservationnel
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

Citations295
Publié2008
Routes d'admission1
Résumé présentoui

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