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Enregistrement W4416647437 · doi:10.1108/qrde-11-2019-0006

Author Biographical Data

2019· article· en· W4416647437 sur OpenAlexaboutno aff

Notice bibliographique

RevueQuarterly review of distance education · 2019
Typearticle
Langueen
DomainePsychology
ThématiqueEducational Strategies and Epistemologies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMiamiDistance educationVocational educationHigher educationThe InternetVariety (cybernetics)Virginia techState (computer science)

Résumé

récupéré en direct d'OpenAlex

Althea Alphonse holds an EdD in education specializing in instructional technology, distance education and school business leadership from Nova Southeastern University; a MEd. in education from Texas Tech University; and a BS in aviation business studies from St. Francis College. Presently, Althea is a senior instructional designer for Virtual College at Miami Dade College. Prior, she has worked as a consultant, professor and high school teacher teaching A, B & C = Accounting, Business and Computers. She brings a wealth of knowledge and experience from secondary and higher education along with technology and consultation skills.Ray J. Amirault holds a MSc and PhD in instructional systems from The Florida State University and a BSc in computer science from The University of West Florida. Ray has worked in online education as an instructional designer, course designer, and researcher for over 2 decades. A native of Chicago, he has a deep interest in medieval education and the history of the university. He is the International Section Director of QRDE, as well as on the review board of two other professional journals, ETR&D and The Internet and Higher Education. He is published by Cambridge University Press, Elsevier, Routledge, Information Age Publishing, and a variety of distance learning and educational technology journals.Elda Kanzki-Veloso is an associate professor at Nova Southeastern University’s College of Psychology. Previously, she was an associate professor at the Abraham S. Fischler College of Education for 12 years and is currently an at the College of Psychology’s Department of Counseling. Dr. Kanzki-Veloso received her PhD in counseling, with an emphasis in family therapy from Barry University, a MS in counseling with a specialization in special educational from Florida International University, and a BS in psychology from Hofstra University. Her research interests include veterans, adolescent substance abuse, and effective integration of technology for learning in any context (online, hybrid, face to face). She has a wealth of experience in the field of evidencebased research with adolescent substance abusers and their families. In her tenure at Nova Southeastern University, she led the Center for Assessment and Intervention at the Fischler School of Education and Human Services (currently Fischler College of Education and School of Criminal Justice), and was in integral part of the applied research center where she oversaw the dissertation process for all doctoral students.Elizabeth Kelson, PhD is a gerontologist who teaches and develops curriculum in aging and gerontology at The Chang School, Ryerson University, Toronto, Ontario. Her doctoral and postdoctoral research focused on personcentered approaches to dementia care, examining institutional and community-based settings in relation to older adults’ personhood, social inclusion and participation. She seeks out opportunities to work with health and social care practitioners, administrators, researchers and learners to develop innovative approaches to support health and well-being in later life.Richard Lambert is a professor of educational leadership in the Cato College of Education, at University of North Carolina Charlotte. Dr. Lambert also serves as the director of the Center for Educational Measurement and Evaluation and editor of the NHSA Dialog: The Research-to-Practice Journal for the Early Education Field. Dr. Lambert served as principal investigator for multiple research grants from the U.S. Department of Education, and has received more than $14 million in external funding for his research. Dr. Lambert also works for the North Carolina Department of Health and Human Services and has provided training to childcare programs throughout the state since 2007.Florence Martin is a professor in instructional systems technology and program director of the Post-Master’s Certificate of University and College Teaching and program coordinator of the Learning, Design and Technology Concentration with EdD in Educational Leadership at the University of North Carolina Charlotte. She teaches courses on instructional systems technology 100% online and has received Quality Matters Certification for five of her courses. She was the first place winner of the Crystal Award from the Division of Distance Learning in Association of Educational Communications and Technology in 2015 which is given to innovative and outstanding multimedia-based distance learning courses. Dr. Martin engages in research focusing on the effective design of instruction and integration of digital technology to improve learning and performance. Her research has resulted in over 50 publications and 100 presentations.Anymir Orellana is a professor in the Department of Higher Education Leadership and Instructional Technology at the Abraham S. Fischler College of Education and School of Criminal Justice, Nova Southeastern University. She teaches online graduate courses in the areas of instructional technology, distance education, instructional media, and instructional design. She earned a doctor of education in instructional technology and distance education from Nova Southeastern University; an MS in computer and information sciences and engineering from the University of Florida; and a BS in informatics engineering from Universidad Centroccidental “Lisandro Alvarado,” Venezuela. Her research interests are in the field of instructional technology and distance education, specifically quality in online courses and effective integration of technology for learning.Enoch Park currently oversees University of North Carolina Charlotte’s Quality Matters program and serves as cochair of the UNC System QM Council. Previously, he has served as the director of distance learning, led a faculty development center, and oversaw instructional technology in North Carolina and Rhode Island. Dr. Park also serves as the EDU-CAUSE Ambassador to UNC Charlotte and has also served as senior reviewer of EDU-CAUSE Review, program reviewer for OLC. For community engaged learning, he serves as a Board member of the North Carolina Service Learning Coalition and a member of the UNC Charlotte Chapter of Campus Compact.Jennifer Reguindin, MScN, RN, GNC(c), is an interprofessional educator and certified in healthcare simulation and gerontological nursing. She is the lead educator for the Team Essentials for Preventing Acute Deterioration and Team Essentials Responding to Acute Emergencies. Jennifer also supported the coordinating care for responsive behaviors portfolio. Jennifer led, supported, tested, and improved on several CLRI initiatives such as the SOS Gaming app, Virtual Learning Environment game, Checklist app, Trigger Match card game, Cascade card game, frail aging simulation, cognitive impairment simulation, and summer internships.Liz Romero, PhD, is currently an instructional designer at George Brown College in Toronto, Ontario, Canada. She is interested in creating innovative e-learning experiences that provide students with the set of skills needed in their complex and dynamic professional fields. Her instructional design work focuses in the application of models that promote critical thinking skills and problem-solving abilities.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut 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: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,656
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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 Opus0,051
Tête enseignante GPT0,401
Écart entre enseignants0,350 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

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
Publié2019
Routes d'admission1
Résumé présentoui

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