A STUDY OF FACTORS CONTRIBUTING TO THE NON-ELECTION OF HOME ECONOMICS
Notice bibliographique
Résumé
The problem of this study was to determine why students in selected secondary schools of the province of Saskatchewan, Canada, had not included home economics in their program of studies. A review of literature identified a number of possible reasons affecting student decisions not to elect home economics. These reasons were categorized into seven factors and three questions. The sixty-six students in the sample who provided the data for this study were drawn from students not electing home economics in the nine schools offering this class in Hudson Bay, Sturgis and Tisdale School Units in the province of Saskatchewan. The students were asked to complete a questionnaire designed by the writer for the study. Approximately ninety-three percent of the questionnaires were returned. The data were subjected to statistical analyses which involved calculating the mean value, One-Way Analysis of Variance and Newman-Keults Procedure. A questionnaire completed by the teachers provided the information regarding the equipment, program and staff which is referred to in the discussion parts of the thesis. As an influence on students' decisions not to elect home economics, the factors analyzed in this study ranked as follows: 1. Factor 7: Subject Requirements for Post-Secondary Courses 2. Factor 2: The Home Economics Program 3. Factor 3: The Home Economics Teacher 4. Factor 6: Preference for Other Classes 5. Factor 4: Tangible Products of the Class 6. Factor 1: The Equipment in the Home Economics Room 7. Factor 5: Timetabling of Home Economics Older students in this study indicated they did not elect home economics in their program because they did not need the class for what they planned to do after high school. Students planning to attend university or vocational school were more greatly influenced by subject requirements for post- secondary courses than were students who planned to marry, get a job, had other plans or were undecided about their future. In this study the decision to include or not to include home economics in the student's program of studies was made by the student without consulting others. If advice was sought the student was neither encouraged nor discouraged from electing the class.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,016 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».