Van Eck is founding Monson Endowed Professor in Medical Education
Notice bibliographique
Résumé
GRAND FORKS, N.D.— Richard Van Eck, Ph.D., has been named the founding Dr. David and Lola Rognlie Monson Endowed Professor in Medical Education at the University of North Dakota School of Medicine and Health Sciences. Van Eck is an educator and scientist, who is recognized internationally for his research in instructional simulation and game theory. Before joining the SMHS, Van Eck was a professor in the Department of Teaching and Learning in UND’s College of Education and Human Development, where he taught courses on human performance technology, eLearning, instructional design, and instructional simulations from 2004 to 2015. This new position is an outgrowth of the School’s Healthcare Workforce Initiative, which is intended to help address current and especially future workforce shortages through a variety of approaches. Expansion of class size is an essential component. The SMHS is anticipating tremendous growth over the next six years that includes increasing medical school class size by 16 slots for a total of 64 over four years, increasing health sciences class sizes by 30 students per year for a total of 90 over three years, and adding 17 residency (required post-medical school training) positions for a total of 113 residents statewide. The school will recruit 39 additional clinical faculty and an additional 124 nonclinical faculty and 78 staff members to teach and provide support for students and faculty. As the associate dean for Teaching and Learning at the UND SMHS, Van Eck will provide leadership for the ongoing development, implementation and evaluation of the educational programs at the School of Medicine and Health Sciences. He will work with SMHS leaders, the director of Education Resources, and faculty, students, and staff to implement and improve curricula, engage faculty and provide faculty training, provide curriculum management, oversee student assessment and competency, accomplish course and program evaluation, and encourage the scholarship of teaching. Van Eck will begin work at the SMHS on July 1, 2015. “The SMHS has been an innovator in medical education for a long time. Our small-group, patient-centered learning method is widely admired and emulated,” said Joshua Wynne, M.D., M.B.A., M.P.H., UND vice president for health affairs and dean of the UND School of Medicine and Health Sciences. “But we need to continue to innovate and refine our pedagogical approach. With the recruitment of Dr. Van Eck, we have a renowned educator and innovator who will help ensure that the education that our students receive continues to be at the cutting edge.” “I am excited to be joining the SMHS during this period of innovation and growth,” Van Eck said. “With the Healthcare Workforce Initiative adding 200 students to the 1,100 in eight disciplines the SMHS already trains, we have a real opportunity to impact health care in North Dakota and nationwide, and curriculum design and innovation will play a key part in achieving this goal.” Van Eck received his Master of Arts in English from UND in 1992 and his Ph.D. in Instructional Design and Development from the University of South Alabama in 2000. He was an assistant professor in Instructional Design and Technology at the University of Memphis until 2004, where he worked with the Institute for Intelligent Systems on the development and testing of intelligent tutoring systems. At UND, he continues to focus on technology innovation through his membership on departmental and college technology committees, the University Instructional Technology Council, the Senate Continuing Education Committee, the Center for Instructional Learning Technology’s advisory board, and the Working Group in Digital and New Media. He has received research support from the National Science Foundation for work on STEM (science, technology, engineering, and mathematics) education, and he continues to work on several games to teach science and mathematics. For his excellence in teaching at UND, he was honored with the North Dakota Spirit Faculty Achievement Award in 2009. Van Eck has served as an expert consultant for the state of Alabama, the province of Manitoba, and several universities, corporations, and private foundations. He has been a keynote speaker at many U.S. and international conferences, including TEDx Manitoba. Van Eck is the editor of two books : Interdisciplinary Models and Tools for Serious Games: Emerging Concepts and Future Directions , and Gaming & Cognition: Theories and Perspectives from the Learning Sciences. He has written and cowritten numerous print and digital publications, including a cover article for Educause Review, a publication read by more than 70,000 higher education leaders. He serves on the editorial board of the journal Technology, Knowledge and Learning and as a peer reviewer for several professional journals. The Dr. David and Lola Rognlie Monson Endowed Professor in Medical Education was established through a generous investment by UND graduates Dr. David Monson and his wife Lola Rognlie Monson, both natives of nearby Climax, Minn. He earned his BA and BS degrees in medicine from UND in 1961. She earned her BS in Education Home Economics in 1960. After two years at UND's medical school, Dr. Monson received his medical degree at the University of Minnesota in 1963. He completed an internship and general surgical residency at Cook County Hospital in Chicago followed by a surgical fellowship at the Lahey Clinic in Boston. Monson served as a major in the Army Medical Corps for two years and then returned to Rush University Medical Center for a cardiothoracic fellowship. Monson practiced adult and pediatric heart surgery at Rush and taught students, residents, and cardiac fellows at Rush Medical School with an academic rank of associate professor. He retired 12 years ago as a cardiac surgeon at Central Dupage Hospital in Winfield, Ill. The Monsons live in River Forest, Ill., a Chicago suburb.
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 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,124 | 0,034 |
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 ».