Knowledge Maps: an Online Tool for Knowledge Mapping with Automated Feedback.

Assessment Concept maps Feedback Knowledge maps Medical education Teaching and learning strategies eLearning

Journal

Medical science educator
ISSN: 2156-8650
Titre abrégé: Med Sci Educ
Pays: United States
ID NLM: 101625548

Informations de publication

Date de publication:
Sep 2019
Historique:
entrez: 30 8 2021
pubmed: 8 5 2019
medline: 8 5 2019
Statut: epublish

Résumé

Concept and knowledge maps have been shown to improve students' learning by emphasising meaningful relationships between phenomena. A user-friendly online tool that enables assessment of students' maps with automated feedback might therefore have significant benefits for learning. For that purpose, we developed an online software platform known as Knowledge Maps. Two pilot studies were performed to evaluate the usability and efficacy of Knowledge Maps. Study A demonstrated significantly improved perceptions of learning after using Knowledge Maps to learn pathology. Study B showed significant improvement between pre-test and post-test scores in an anatomy course. These preliminary studies indicate that this software is readily accepted and may have potential benefits for learning.

Identifiants

pubmed: 34457524
doi: 10.1007/s40670-019-00736-y
pii: 736
pmc: PMC8368467
doi:

Types de publication

Journal Article

Langues

eng

Pagination

625-629

Informations de copyright

© International Association of Medical Science Educators 2019.

Déclaration de conflit d'intérêts

Conflict of InterestThe authors declare that they have no conflict of interest.

Références

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pubmed: 20078754
Adv Physiol Educ. 2011 Mar;35(1):59-67
pubmed: 21386003
J Nurs Educ. 1999 Jan;38(1):42-7
pubmed: 9921788

Auteurs

Veronica W Ho (VW)

School of Medical Sciences, Faculty of Medicine, UNSW Australia, Sydney, Australia.

Meng Meng (M)

School of Medical Sciences, Faculty of Medicine, UNSW Australia, Sydney, Australia.

Gwo-Jen Hwang (GJ)

College of Liberal Arts and Social Sciences, National Taiwan University of Science and Technology, Taipei, Taiwan.

Nalini Pather (N)

School of Medical Sciences, Faculty of Medicine, UNSW Australia, Sydney, Australia.

Rakesh K Kumar (RK)

School of Medical Sciences, Faculty of Medicine, UNSW Australia, Sydney, Australia.

Richard M Vickery (RM)

School of Medical Sciences, Faculty of Medicine, UNSW Australia, Sydney, Australia.

Gary M Velan (GM)

School of Medical Sciences, Faculty of Medicine, UNSW Australia, Sydney, Australia.

Classifications MeSH