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Enregistrement W1566408683 · doi:10.1177/104515959901100304

Satisfying the Itch: Addressing Problems in Adult Literacy Programs with Action Research

2000· article· en· W1566408683 sur OpenAlexaff
Drucie Weirauch, Gary William Kuhne

Notice bibliographique

RevueAdult Learning · 2000
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueEducation Systems and Policy
Établissements canadiensCanadian Association for the Study of Adult Education
Organismes subventionnairesnon disponible
Mots-clésAction researchEmpowermentAction (physics)LiteracyPsychologyProfessional developmentProcess (computing)Medical educationPedagogySociologyPolitical scienceMedicineComputer science

Résumé

récupéré en direct d'OpenAlex

Most would agree that for change to be successful and positive, those carrying out the change must be involved and engaged in the process itself. By engaging practitioners in the change process, action research provides ownership and often results in a sense of efficacy In recent years, researchers exploring K-12 issues have identified several outcomes of participation in action research. For instance, they have found that educators grow professionally, intellectually and establish more meaningful relationships with their learners using action research (Shalaway, 1990). They feel a sense of empowerment and increased self-esteem. They also are more open to change, more reflective about practice and decision-making and are better problem-solvers. Overall, they have greater expertise in the field and a fresher attitude toward the educational process (Bennett, 1994). In adult literacy, Quigley (1995) discusses how practitioners can use action research to satisfy the itch about problems in their own This work has led to a practitioner-based movement in professional development and program improvement in Pennsylvania. Literacy Action Research in Pennsylvania In 1995, Pennsylvania created a statewide effort to bring action research to adult literacy practitioners as a professional development tool. Supported by the Bureau of Adult Basic and Literacy Education (ABLE) of the Department of Education, one project in this Learning from initiative was the Pennsylvania Action Research Network (PAARN). We trained practitioners (administrators, teachers, trainers and volunteers) to develop better problem-posing and problem-solving skills to improve their practice using this systematic approach of action research. The Pennsylvania Action Research Handbook and Project Planner (Quigley, 1995) and Creating Practical Knowledge through Action Research: Posing Problems and Improving Daily Practice (Quigley & Kuhne, 1997) have been used to facilitate the training. PAARN was committed to sharing the results with others; therefore, each participant wrote a monograph about the action research project. These were published and made available through a literature network, and are posted on the Web site (www.learningfrompractice.org.) PAARN was evaluated annually in two ways. First, practitioners were interviewed to determine their perception of success, the usefulness of the model and their professional growth. Second, one year after the project was completed, the participants' supervisor was interviewed to evaluate the lasting impact that the action research project may have had on the agency itself. This article shares the synthesized results of the supervisor evaluations to show how the process is transferable, and we offer snapshots of four projects highlighting outcomes that have been made part of the literacy institutions for long-term change. Four Snapshots of Success For four consecutive years, an annual impact survey was conducted with supervisors of action research participants. A total of 33 supervisors were interviewed about their 61 participants. One question asked them to contrast the benefits of action research to those of traditional workshops for professional development. Forty five percent of the supervisors felt action research provided greater benefits, 37 percent said it was hard to tell and only 18 percent felt that workshops were more valuable. As one supervisor commented in 1998, Those who have taken action research are much less hesitant to share information, are comfortable making suggestions and are able to receive constructive criticism. They are able to work on a project, follow through and implement, have a more questioning attitude and are more willing to examine their practice. In 2000, another observed, Those in action research see their everyday attempts at program improvement as meaningful, not futile, attempts. Each year, we asked if the participating staff had experienced an attitude change. …

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)0,133
score de la tête « metaresearch » (Gemma)0,101
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,133
Score d'incertitude au seuil0,706

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,1330,101
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0040,003
Études des sciences et des technologies0,0080,018
Communication savante0,0110,020
Science ouverte0,0050,023
Intégrité de la recherche0,0070,010
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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 Opus0,172
Tête enseignante GPT0,466
Écart entre enseignants0,294 · 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'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

Citations1
Publié2000
Routes d'admission1
Résumé présentoui

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