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Enregistrement W2008728817 · doi:10.1037/h0099960

School-wide and individualized effective behavior support: An explanation and an example.

2002· article· en· W2008728817 sur OpenAlexaboutno aff
Tary J. Tobin, Teri Lewis-Palmer, George Sugai

Notice bibliographique

RevueThe Behavior Analyst Today · 2002
Typearticle
Langueen
DomainePsychology
ThématiqueBehavioral and Psychological Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPsychologyCognitive psychologyDevelopmental psychologySocial psychologyMathematics education

Résumé

récupéré en direct d'OpenAlex

Abstract The principles of applied behavior analysis provide the foundation for the Effective Behavior Support (EBS) approach to school discipline. EBS in action is exemplified in the Individualized Positive Support (IPS) project, which emphasized teacher training in functional assessment and positive behavior support. The IPS project examined the effect of in- service training in function-based support for teachers and paraprofessionals on office discipline referrals for cohorts of elementary school students. Thirty cohorts of students, starting in Kindergarten through Grade 4, were studied in terms of discipline referrals over a three-year period. Five schools participated in the study and all were using the EBS approach with an 80% or higher level of implementation by the last year of the project. In the second year of the project, all five schools implemented the School Wide Information System (SWIS), a computerized system for recording and charting discipline referrals. Average reliability for SWIS data entry across 5 schools, when compared to the original paper referrals, was 86.56% (s.d., 6.69%). For 4 out of 5 schools, changes in school-wide discipline referrals were validated by teachers' perceptions of changes in students' behaviors. Four of the five schools also participated in the in-service training on function-based support, with 2 to 10 staff members per school receiving training. Schools where 6 or more staff members participated in training in function based support had more cohorts of students who improved or remained low in comparison to typical grade level expectations than schools where fewer staff members participated in the training. Implications for behavior therapists are discussed. ********** Effective Behavior Support (EBS) is a systems approach to school discipline designed to enhance the capacity of schools to educate all students, including students with challenging social behaviors, by establishing an efficient and effective approach of (a) systems that support staff, (b) practices that support students, and (c) data that guide decision-making. Although relatively young as an approach, EBS already has been adopted by many schools in the U.S. and Canada and interest in it is growing (e.g., Colvin & Fernandez, 2000; Homer, Sugai, Lewis-Palmer, & Todd, 2001; Homer, Sugai, & Todd, 2001; Lewis & Sugai, 1999; Nakasato, 2000; Sugai et al., 2000; Sugai & Homer, 1994, 1999, 2001; Taylor-Greene et al., 1997; Taylor-Greene, & Kartub, 2000; Todd, Homer, Sugai, & Colvin, 1999). EBS is not a one-size-fits-all curriculum but a process based on a set of guiding principles to enable each school to proactively address the discipline needs of their students. The EBS process enables schools to apply to their own situation the basic concepts of applied behavior analysis (Baer, Wolf, & Risley, 1968) for individual students and classrooms (Wolery, Bailey, & Sugai, 1988) and on a school-wide level, using concepts from organizational behavior management (Gilbert & Gilbert, 1992). The following list represents the seven minimum requirements for a school to initiate the EBS systems approach: 1. Team-based approach to problem solving issues related to school-wide discipline. 2. Active administrator support and participation on the school-wide discipline team. 3. Proactive instructional al roach (positive and preventative) to teaching social behaviors. 4. Local behavioral expertise that can provide specialized, individualized, and intensive support to individual students. 5. Data-based decision making to determine needs, strengths, and 6. School-wide discipline as a high priority (one of the top 3 school improvement goals). 7. Sustained and long-term commitment (3-4 years) to systems approach. The proactive instructional approach is the hallmark of successful EBS programs. …

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)0,002
score de la tête « metaresearch » (Gemma)0,002
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: Empirique
Score de désaccord entre enseignants0,007
Score d'incertitude au seuil0,018

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0010,002
Communication savante0,0020,002
Science ouverte0,0010,002
Intégrité de la recherche0,0030,002
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 Opus0,209
Tête enseignante GPT0,370
Écart entre enseignants0,161 · 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

Citations18
Publié2002
Routes d'admission1
Résumé présentoui

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