1,555
Views
39
CrossRef citations to date
0
Altmetric
Original Articles

The Role of Prior Knowledge in Learning From Analogies in Science Texts

&
Pages 447-479 | Received 08 Sep 2008, Published online: 05 Aug 2010
 

Abstract

Two experiments examined whether inconsistent effects of analogies in promoting new content learning from text are related to prior knowledge of the analogy per se. In Experiment 1, college students who demonstrated little understanding of weather systems and different levels of prior knowledge (more vs. less) of an analogous everyday situation read a text about weather systems that included the analogy or a control version that did not. Results indicated that those with more prior knowledge of the analogy performed better on weather system learning measures (sentence verification and number of concepts in essays). Prior knowledge of the analogous domain interacted with presence of the analogy in the text on 1 learning measure: Those with more prior knowledge who read the analogy text had fewer misconceptions in their conceptual models of weather than those who read the control text. Think-aloud protocols collected in Experiment 2 suggested that analogies in the text constrained prior knowledge activation and processing of the weather system content. Whereas previous research has shown that prior knowledge of a to-be-learned target domain positively impacts learning, this research elaborates this effect by showing that prior knowledge of an analogically related domain positively impacts target domain learning.

Notes

1From the participants' point of view, Phases 2 and 3 were independent experiments: They had different study numbers, different locations, and different researchers conducting the work.

a n = 27.

b n = 30.

c n = 24.

d n = 25.

2Two outliers were removed from the analysis because their reading times exceeded 3 SDs above the mean.

3Pre- and posttest knowledge scores were not significantly correlated, warranting the use of gain scores.

4The significant correlation between number correct on pre- and posttest for this set of 22 items (r = .211, p < .05) necessitated the use of an analysis of covariance.

aMarginal significance.

bSignificance.

5It should be noted that the proportions do not add to 1, as the denominator was of total self- explanation inferences generated.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.