Using interactive domain overviews to develop deep understanding in a complex reasoning task

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Publication Type thesis
School or College College of Education
Department Educational Psychology
Author Dewald, Aaron John
Title Using interactive domain overviews to develop deep understanding in a complex reasoning task
Date 2015-12
Description Representations in the form of concept maps have been shown to be a benefit to leaners. However, previous research examined the influence of these representations in learning in well-structured environments. Additionally, previous research suggests that increasing the activity of students in learning environments has also been shown to yield gains in learning, called the generation effect. The current study extends the literature by examining the influence generative activities and concept map representations have on an ill-structured reasoning process, namely thinking like a lawyer. Pre- and posttests targeting factual knowledge, recall, and transfer were used to assess learning, while verbal protocols were implemented to examine learning processes used by participants. Results were mixed. Representation and activity had no effect on factual knowledge, recall, and near transfer measures. Verbal protocol results showed that students who studied with the concept map representation condition produced a higher proportion of deep utterances during problem solving when using static representations compared to those that generated their representation. The opposite was true for students in the text list condition. Those who generated their text list representation during study produced a higher proportion of deep utterances in problem solving when compared to those who studied with a static list. Thus, a careful consideration of topical materials and learning environments is necessary to determine whether or not concept maps and generation effects will encourage deeper comprehension in learners.
Type Text
Publisher University of Utah
Subject concept map; generation effect; law
Dissertation Institution University of Utah
Dissertation Name Master of Science
Language eng
Rights Management Copyright © Aaron John Dewald 2015
Format Medium application/pdf
Format Extent 27,274 bytes
Identifier etd3/id/3979
ARK ark:/87278/s60039f6
Setname ir_etd
Date Created 2016-08-02
Date Modified 2017-06-29
ID 197529
Reference URL
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