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Enregistrement W7109967114 · doi:10.1108/qrde-02-2001-0012

Biographical Details

2001· article· en· W7109967114 sur OpenAlexaboutno aff

Notice bibliographique

RevueQuarterly review of distance education · 2001
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueOnline and Blended Learning
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCourseworkInstructional designProcess (computing)Control (management)Learning theoryMetacognitionEducational researchUnit (ring theory)Instructional technology

Résumé

récupéré en direct d'OpenAlex

Gary J. Anglin is Program Coordinator of the Instructional Systems Design Program at the University of Kentucky, where he teaches graduate courses in instructional design, instructional theory, and foundations of instructional technology. His current research interests include e-Learning, in particular the adaptations students, instructional designers, and instructors will have to make in an e-learning environment. In particular, his instructional design research interests include the role of metacognition and cognitive load theory for the design of Web-based instruction.Mary Beth Bianco is a doctoral candidate at Penn State University in the Instructional Systems Department. She is currently employed as an education consultant with the BLaST, Itermediate Unit 17 in Williamsport, PA, after eight years as an elementary educator. Bianco recently finished her doctoral coursework and is in the process of completing her dissertation.Barbara Bichelmeyer is an assistant professor of instructional systems technology, Indiana University. Her primary interests in teaching, research and service activities are related to learners’ engagement, ownership and control of the learning process. Bichelmeyer is also interested in understanding the role that emotion plays in intelligence, learning and instruction. Currently, Bichelmeyer is engaged in research concerned with the relationships between learner emotions and learner engagement in Web-based learning environments.Wellesley R. (Rob) Foshay is the chief instructional architect of the PLATO Learning System. He has 25 years of experience doing instructional design in university and private sector environments. He is active in the International Society for Performance Improvement and the Association for Educational Communications and Technology, and serves on the editorial boards of two research journals. He has published over 50 major papers and book chapters on ID methodology, problem solving, e-Learning, and evaluation.Doug Harvey is currently director of the graduate program in Instructional Technology at the Richard Stockton College of New Jersey. His research focus is on the use of hypertext and online learning. He holds a doctoral degree from Penn State University in Instructional Systems.Tiffany Koszalka is an assistant professor of education and director of assessment and research for the Kids as Airborne Mission Scientist project at the Pennsylvania State University. She spent over a decade as an instructional designer creating and implementing a variety of paper-, classroom-, and technology-based training for adults in the corporate world. She then turned her attention to investigating teacher and student uses of Web-based information and human resources in K-12 science classrooms. She currently teaches instructional design and educational technology integration courses both in the classroom and through distance education. Her recent research in distance education has included computer-mediated communication, social interactions, and the design of distance education to support synchronous and asynchronous learning.Jung Lee is an assistant professor of Instructional Technology at the Richard Stockton College of New Jersey. She received a Ph.D. degree in Adult Learning and Technology from the University of Wyoming. Her research interests include visual design and human factors in hypermedia/multimedia design.Melanie Misanchuk is a doctoral student in Instructional Systems Technology at Indiana University. Her research interests include online learning communities, communities of practice, distance education, and language instruction.Richard Schwier is a professor of educational communications and technology at the University of Saskatchewan, where he teaches graduate courses in educational technology theory, instructional design, and multimedia design. Recent research interests include the use of virtual learning communities in distance education, usability research, and visual design for instructional multimedia.

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)0,019
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,536
Score d'incertitude au seuil0,662

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,019
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0050,005
Études des sciences et des technologies0,0030,001
Communication savante0,0030,003
Science ouverte0,0020,003
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,5360,313

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 Opus0,015
Tête enseignante GPT0,349
Écart entre enseignants0,335 · 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.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2001
Routes d'admission1
Résumé présentoui

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