The impact of computer aided drafting technology on industrial education curriculum in British Columbia secondary schools
Notice bibliographique
Résumé
The purpose of this study was to identify the prerequisite skills most appropriate to training and/or employment in computer aided drafting... Specific objectives of the study were concerned with: 1. The prevalence of CAD in specific industries. 2. The relationship between the size and/or type of CAD system and the training required to operate it. 3. The background and training of individuals operating CAD systems. A. The preferences of employers as to the education of their CAD operators. 5. The preferences of CAD training institutions as to the education of CAD training candidates. 6. The methods by which individuals in industry received CAD training. 7. The methods of CAD training preferred by employers. 8. The importance of certain skills relative to CAD employment or training. 9. The importance of certain secondary school drafting curriculum items relative to CAD training or employment. 10. The identification of secondary school curriculum areas to be modified to suit the needs of industry and CAD training institutions PROCEDURES The survey questionnaire method was used to obtain data for this study. Two parallel, closed-form questionnaires were developed from a review of related literature and an analysis of current drafting standards and techniques. One questionnaire was sent to all training institutions in British Columbia offering courses in CAD. The other questionnaire was sent to sixty-five businesses in British Columbia identified as users of CAD technology. The responses were analysed to provide information on the impact of CAD technology on secondary school curriculum. The importance of particular items was determined through calculation of mean priority or ranking levels. FINDINGS The businesses surveyed were primarily involved in mechanical and electronics drafting followed by structural, architectural, and cartographic. Training institutions were concerned with architectural and civil drafting followed by mechanical and structural. Data indicated that CAD was being used in all areas of drafting. CAD system descriptions indicated that a large number of businesses and training institutions were using personal computer based CAD systems that were less expensive and easier to operate than larger mainframe or dedicated systems. Educational institutions indicated that the majority of their CAD training candidates were upgrading themselves and that they preferred candidates with a good drafting background. Businesses indicated that most of their CAD operators were draftspersons retrained for CAD. Few CAD operators had received formal CAD training although employers indicated a hiring preference for draftspersons with formal training in CAD. Both businesses and training institutions involved with CAD considered manual drafting skills and good problem solving ability to be the most important prerequisites for CAD training or employment. With respect to specific drafting skills, there was consensus on the importance of individual items. Dimensioning to CSA standards was considered most important followed by the three dimensional representations typified in sketching, pictorial, drawing, auxiliary views, and developments. Both surveys indicated that curricular change to reflect the changing technology was necessary and should include the introduction of computer aided drafting at the secondary level as well as more drafting course time and more emphasis on computational and communication skills. CONCLUSIONS 1. Drafting, especially computer aided drafting, should be approached as a necessary skill for a wide variety of occupations and not as a vocation in itself. This would require a conscious effort to open secondary school drafting programs to all students, not just those in industrial programs. 2. Drafting educators should acquaint themselves with the changing technology of drafting including contact with post secondary training institutions and representative industry. 3. Secondary school drafting programs should introduce students to computer aided drafting. 4. More emphasis should be placed on dimensioning to CSA standards and on areas of drafting that involve viewing an object in three dimensions. 5. Secondary school curriculum should be modified to include more drafting time and place more emphasis on computational and communication skills.
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 | 0,001 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».