Notice bibliographique
Résumé
Abstract For the most part, the focus of distributed learning has steered away from pre-tertiary education; however, there is a growing demand today to consider alternative methods of delivering instruction at this level of education. While this is not a new concept, and distance education has been used in the past to service high school students residing in remote areas, falling enrollments, financial cut-backs and escalating drop out rates now make it conceivable to provide correspondence courses to located in major urban centers. These within schools can function only if effective organizational structures are applied at the host institution. Furthermore, support systems must be employed in order to ensure that adolescents learning at a distance are successful. These strategies may need to sacrifice some of the student's autonomy and as such, fall beyond traditional notions of distributed learning designed for adults. On the whole, distance education has tended to focus on the mature learner. Yet, there is a growing demand today to examine unique delivery systems for the many high school students who can no longer be serviced by conventional instruction. The latter includes but is not limited to students who reside in areas that are geographically isolated from metropolitan centers. In fact, escalating drop out rates, continuing budgetary constraints and falling enrollments in some regions have made it not only feasible but imperative that urban now consider alternative methods of distributing education. Current Canadian statistics are staggering. For example, some Canadian school systems report that 3 out of 10 students do not complete high school (Employment and Immigration Canada, 2001). Seeing that employment opportunities for unskilled workers continue to disappear in the North American context, these figures are extremely alarming. In a highly competitive global market, it will be difficult to maintain an economic foothold with a weakened manpower base. As newer jobs demand specialized skills and training, dropouts will not be marketable and will eventually be forced to rely on social services in order to survive. The increased stress on these programs will be costly for everyone, and will burden and perhaps even collapse already fragile systems. Isolating a single factor for the drop out problem is a complicated task. Social, financial and personal components must be examined. However, what is certain is that many of these students terminate their studies prematurely because they can no longer cope with traditional, classroom instruction (Beatty, A., Neisser, U., Trent, W.T., & Heubert, J.P., 2001). Continuing cutbacks in educational budgets have also drained many of the resources previously available to metropolitan school districts. As such, many of these institutions have been hard pressed to provide services to those high school students who (because of particular circumstances i.e., illness, involvement in external, athletic programs or other concentrations, pregnant teenagers, young offenders etc.) require a flexible schedule in order to complete their secondary education requirements(Robertson, H.J., 1998). Fluctuating enrollments in some regions have created a two-tier system of education in many urban centers (Manchee, D., 2001). Schools with large and well-to-do populations have been able to offer a progressive syllabus inclusive of a number of specialty courses (i.e., drama, music, advanced science and mathematic courses etc.), while other have had to cancel many of these courses because of low student enrollment. Unfortunately, many of these specialized programs tend to form a base of prerequisite material needed for entrance in certain fields of collegial study. As staffing is also dependent on student population, and financial considerations, many are no longer able to maintain adequate teacher expertise in a variety of disciplines (Beer, M. …
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».