Adv Physiol Educ ADInstruments
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Advan. Physiol. Edu. 263: 33S-36S, 1992;
1043-4046/92 $5.00
This Article
Right arrow Full Text (PDF)
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Rovick, A. A.
Right arrow Articles by Michael, J. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Rovick, A. A.
Right arrow Articles by Michael, J. A.

Advances in Physiology Education, Vol 263, Issue 6 33-S36, Copyright © 1992 by American Physiological Society


ARTICLES

The Predictions Table: a tool for assessing students' knowledge

A. A. Rovick and J. A. Michael
Department of Physiology, Rush Medical College, Chicago, Illinois 60612.

The Predictions Table (PT), a tool for determining students' knowledge, is described. The PT is a matrix consisting of a group of variables and a set of time periods. Students enter in the PT their qualitative predictions of the effects of a perturbation on a physiological system. The instructor or a teaching program can then evaluate the students' knowledge from these entries. An example is given from the teaching program CIRCSIM, which deals with blood pressure regulation. It shows the way that the program uses errors in the students' PT entries. CIRCSIM was evaluated and was found to have a statistically significant effect. It reduced the number of errors that students made in predicting the responses of the cardiovascular system to a perturbation. Also, students who worked in groups had significantly greater improvement than did control students. Using CIRCSIM also significantly reduces the number of relationship errors that the students make. They made even fewer errors when an instructor was present in the computer classroom while the students used CIRCSIM.





HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Visit Other APS Journals Online