Methods Inf Med 1992; 31(04): 303-309
DOI: 10.1055/s-0038-1634880
Original Article
Schattauer GmbH

Graphic Summaries of Expert Knowledge for the Medical Curriculum: An Experiment in Second-Year Nephrology[4]

B. Preiss
1   Departments of Biochemistry, Université de Sherbrooke, Sherbrooke, Québec, Canada
,
R. Black
2   Community Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada
,
C. Caron
3   Medicine, Faculté de Médecine, Université de Sherbrooke, Sherbrooke, Québec, Canada
,
D. Shapcott
1   Departments of Biochemistry, Université de Sherbrooke, Sherbrooke, Québec, Canada
› Author Affiliations
Further Information

Publication History

Publication Date:
07 February 2018 (online)

Abstract:

This study was conducted to test the effects of Concept Graphics on learning in clinical nephrology. Second-year medical students were exposed to summaries of the major renal pathologies presented as text with, or without Concept Graphics for 30 minutes, followed by a quiz. Concept Graphics summarize diagnoses using icons that are metaphors of objects or processes. Of nine quiz questions, five were classified as correlation questions and four as memorization questions. The experimental group (n = 39) performed better than the controls (n = 33) in answering the correlation questions (p = 0.018). The experimental group mentioned more frequently than the controls two pathognomonic criteria of the nephritic syndrome (p = 0.02). Results of an opinion poll of the students, comparing sources used in their studies of nephrology were treated by correspondence analysis; the Concept Graphics ranked closest to the classification “very useful”.

4 Appendix by Bernard Colin, Department of Mathematics and Computer Science, Université de Sherbrooke, Québec, Canada.


 
  • REFERENCES

  • 1 Greeno JG, Simon HA. Problem solving and reasoning. In: Stevens’ Handbook of Experimental Psychology. Atkinson RC, Hernstein R, Lindzy G, Luce RD. eds. New York: Wiley; 1984
  • 2 Patel VL, Evans DE, Groen GJ. Biomedical knowledge and clinical reasoning. In: Cognitive Science in Medicine-Biomedical Modeling. Evans DA, Patel VL. eds. Cambridge, MA: The MIT Press; 1989
  • 3 Patel VL, Groen GJ. Knowledge-based solution strategies in medical reasoning. Cogn Science 1986; 10: 91-116.
  • 4 Patel VL, Groen GJ, Arocha JF. Medical expertise as a function of task difficulty. Memory and Cognition 1990; 18: 394-406.
  • 5 Schmidt HG, Norman GR, Boshuizen HPA. A cognitive perspective on medical expertise: Theory and implications. Acad Med 1990; 65: 611-21.
  • 6 Bower GH. Organizational factors in memory. Cogn Psychol 1970; 01: 18-46.
  • 7 Dansereau D. Knowledge maps: An analysis of spatial/verbal processing. Paper presented at the annual meeting of the American Educational Research Association. San Francisco: March 1989
  • 8 Rewey KL, Dansereau DF, Skaggs LP, Hall RH, Pitre U. Effects of scripted cooperation and knowledge maps on the processing of technical material. J Educ Psychol 1989; 81: 604-9.
  • 9 Levin ME, Levin JR. Scientific mnemonomies: Methods for maximizing more than memory. Amer Educ Res J 1990; 27: 301-21.
  • 10 Larkin JH, Simon HA. Why a diagram is (sometimes) worth ten thousand words. Cogn Science 1987; 11: 65-99.
  • 11 Bloomfield RL, Chandler ET. Mnemonics Rhetoric and Poetics for Medics. Winston-Salem, NC: Harbinger Press; 1992
  • 12 Bloomfiled RL, Pedley CF. More Mnemonics Rhetoric and Poetics for Medics. Winston-Salem, NC: Harbinger Press; 1984
  • 13 Sotos JG. Zebra Cards, an Aid to Obscure Diagnosis. Philadelphia PA: American College of Physicians; 1989
  • 14 Cole WG. Metaphor graphics and visual analogy for medical data. Presented at the University of Utah InfoFair; Salt Lake City: March 1988
  • 15 Cole WG. Quick and accurate monitoring via metaphor graphics. In: Proceedings 14th Annual Symposium on Comuter Applications in Medical Care. Miller RA. ed. Washington DC: IEEE Computer Society Press; 1990: 425-9.
  • 16 Elting LS, Bodey GP. Is a picture worth a thousand medical words? A randomized trial of reporting formats for medical research data. Meth Inform Med 1991; 30: 145-50.
  • 17 Preiss B, Caron C, Black R, Shapcott D, Echavé V. Concept Graphics for the medical curriculum. Clin Invest Med 1991; 14 Suppl 4: 509.
  • 18 Kaplan CA, Simon HA. In search of insight. Cogn Psychol 1990; 22: 374-419.
  • 19 Fleiss JL. Statistical Methods for Rates and Proportions. 2nd ed. New York: John Wiley and Sons; 1981: 218.
  • 20 Barbeau D, Quesnel J, Des Marchais B. Students’ perceptions after one year of problem-based learning at Sherbrooke. Ann Community Oriented Educ 1990; 03 part 1: 25-33.
  • 21 Weldon MS, Roediger HL, Challis BH. The properties of retrieval cues constrain the picture superiority effect. Memory and Cognition 1989; 17: 95-105.
  • 22 Theios J, Amrhein PC. Theoretical analysis of cognitive processing of lexical and pictorial stimuli: Reading, naming, and visual and conceptual comparisons. Psychol Rev 1989; 96: 5-24.
  • 23 Tseng OJL, Wang WSY. The first two R’s. Amer Scientist 1983; 71: 238-43.
  • 24 Mainardi EPeron, Baroni MR, Job R. Schema versus set-size effects in memory for places. Europ Bull Cogn Psychol 1990; 10: 231-49.
  • 25 Johnson-Laird PN, Byrne RMJ, Tabossi P. Reasoning by model: The case of multiple quantification. Psychol Rev 1989; 96: 658-73.
  • 26 Thagard P, Holyoak KJ, Nelson G, Goch-feld D. Analog retrieval by constraint satisfaction. Artif Intell 1990; 46: 259-310.
  • 27 Preiss B, Kaltenbach M, Zanazaka J, Echave V. Concept Graphics: A language for medical knowledge. In: Sixteenth Symp on Computer Applications in Medical Care. (In press 1992).
  • 28 SAS/STAT version 6, Users Guide Vol. 1. Cary, NC: SAS Institute Inc; 1991