Literature DB >> 12354244

Concept mapping assessment in medical education: a comparison of two scoring systems.

Daniel C West1, Jeanny K Park, J Richard Pomeroy, Jonathan Sandoval.   

Abstract

BACKGROUND: Concept mapping has the potential to measure important aspects of a student's evolving knowledge framework in a way that conventional examinations cannot. This is important because development of an elaborate and well-structured knowledge framework is a critical step toward becoming an expert in a particular field. Little is known about the best way to score concept maps in the setting of medical education. Therefore, as a preliminary step in addressing this question, we compared two different scoring systems for validity: a structural method based on the organization of a map's hierarchical structure and a relational method based, not on structure, but on the quality of each individual map component.
METHODS: A total of 21 paediatric resident doctors completed concept map training, drew a preinstruction concept map about "seizures", completed a seizure education course, and then drew a postinstruction seizure map. Two raters using both structural and relational methods scored each map.
RESULTS: Structural scores increased significantly after instruction and were higher in more experienced residents, but relational scores were not significantly different. Interrater scoring reliability for both methods ranged from moderate to strong, but was greater using the relational scoring method.
CONCLUSIONS: These data suggest that scoring systems for evaluating concept maps in postgraduate medical education may need to account for structural features of maps, if scores are to reflect changes in the developing knowledge frameworks of resident doctors. More research to further evaluate reliability and validity is critical prior to any future use of concept mapping assessment in medical education.

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Mesh:

Year:  2002        PMID: 12354244     DOI: 10.1046/j.1365-2923.2002.01292.x

Source DB:  PubMed          Journal:  Med Educ        ISSN: 0308-0110            Impact factor:   6.251


  10 in total

1.  Mind maps and network analysis to evaluate conceptualization of complex issues: A case example evaluating systems science workshops for childhood obesity prevention.

Authors:  Leah Frerichs; Tiffany L Young; Gaurav Dave; Doris Stith; Giselle Corbie-Smith; Kristen Hassmiller Lich
Journal:  Eval Program Plann       Date:  2018-03-05

Review 2.  Integrating Concept Maps into a Medical Student Oncology Curriculum.

Authors:  Sam Brondfield; Allen Seol; Katherine Hyland; Arianne Teherani; Gerald Hsu
Journal:  J Cancer Educ       Date:  2021-02       Impact factor: 2.037

Review 3.  A multidisciplinary systematic review of the use of diagrams as a means of collecting data from research subjects: application, benefits and recommendations.

Authors:  Muriah J Umoquit; Peggy Tso; Helen E D Burchett; Mark J Dobrow
Journal:  BMC Med Res Methodol       Date:  2011-01-27       Impact factor: 4.615

4.  Improving the learning of clinical reasoning through computer-based cognitive representation.

Authors:  Bian Wu; Minhong Wang; Janice M Johnson; Tina A Grotzer
Journal:  Med Educ Online       Date:  2014-12-16

5.  The articulation of integration of clinical and basic sciences in concept maps: differences between experienced and resident groups.

Authors:  Sylvia Vink; Jan van Tartwijk; Nico Verloop; Manon Gosselink; Erik Driessen; Jan Bolk
Journal:  Adv Health Sci Educ Theory Pract       Date:  2015-12-21       Impact factor: 3.853

6.  Tracking the Resolution of Student Misconceptions about the Central Dogma of Molecular Biology.

Authors:  Amy G Briggs; Stephanie K Morgan; Seth K Sanderson; Molly C Schulting; Laramie J Wieseman
Journal:  J Microbiol Biol Educ       Date:  2016-12-02

7.  Applying visual mapping techniques to promote learning in community-based medical education activities.

Authors:  Sonali G Choudhari; Abhay M Gaidhane; Priti Desai; Tripti Srivastava; Vedprakash Mishra; Syed Quazi Zahiruddin
Journal:  BMC Med Educ       Date:  2021-04-13       Impact factor: 2.463

8.  Embracing the Complexity of Primary Health Care: System-Based Tools and Strategies for Researching the Case Management Process.

Authors:  Kim D Graham; Amie Steel; Jon Wardle
Journal:  J Multidiscip Healthc       Date:  2021-10-06

9.  Interrater reliability of the mind map assessment rubric in a cohort of medical students.

Authors:  Anthony V D'Antoni; Genevieve Pinto Zipp; Valerie G Olson
Journal:  BMC Med Educ       Date:  2009-04-28       Impact factor: 2.463

10.  Visualizing complex processes using a cognitive-mapping tool to support the learning of clinical reasoning.

Authors:  Bian Wu; Minhong Wang; Tina A Grotzer; Jun Liu; Janice M Johnson
Journal:  BMC Med Educ       Date:  2016-08-22       Impact factor: 2.463

  10 in total

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