Making sense of converging technologies and new media: a study of distance education course developers
Notice bibliographique
Résumé
Distance Education, as it is practiced today in the Western world, is undergoing rapid change. This is no less true within the British Columbia distance education community. This change is due, in part, to the increasing speed of technological innovation, specifically in the convergence between broadcast, telecommunications, and data communications fields (Bates, 1994). Therefore, a research study was conducted to look at the phenomena of converging technologies and new media (CT/NM) and their impact on course development decisions in distance education for adult learners. Specifically, the purpose was to describe how selected distance education course developers were conceptualizing, or making sense, of CT/NM. This study was conducted with eight distance education course developers from two education institutions in the Lower Mainland of British Columbia, Canada between May and June 1999. Five participants were from the Open Learning Agency and three were from University of British Columbia's Distance Education and Technology Unit (DE&T). A qualitative research methodology, based on an interpretive understanding and using participant interviews and document analysis, was applied. Three conclusions emerged from the study. First, the course developers' practices were being affected by CT/NM and as a result, some new planning considerations and four new course development practices were emerging. The four practices were media and technologies replacement, hybrid course development, resource-based course development and structured information. Secondly, the course developers were applying an enhanced systems-based course development model and moving towards a new course development paradigm, based on networked multimedia and using post-fordist production processes. The final conclusion was that there were six specific organizational issues that could enable or impede the success of CT/NM for the course developers in this study. These issues were roles, training and professional development, delivery systems, funding arrangements, intellectual property policies, and new opportunities. Overall, the course developers in this study were making sense of CT/NM within their practices pragmatically, in an incremental and evolutionary way. Based on the conclusions from the study, three suggestions for further study were also provided.
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 | 0,011 | 0,027 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,012 | 0,007 |
| Communication savante | 0,008 | 0,004 |
| Science ouverte | 0,003 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».