TY - GEN
T1 - Self-Regulation of Learning with Multiple Representations in Hypermedia
AU - Cromley, Jennifer
AU - Azevedo, Roger
AU - Olson, Evan
N1 - Publisher Copyright:
© 2005 The authors. All rights reserved.
PY - 2005
Y1 - 2005
N2 - A body of research has demonstrated when multiple representations of content help students learn. Few studies, however, have used process measures to understand what different cognitive processes students enact when learning from different representations. We collected pretest, posttest, think-aloud, and video data from 21 undergraduate students learning about the human circulatory system using a hypermedia encyclopedia. We measured learning as a change in a participant's mental model of the circulatory system from pretest to posttest. Students who learned more tended to spend less time in Text. While viewing Text alone, amount of learning was most strongly associated with verbalizing a smaller proportion of Feeling of Knowing, Free Search, and Selecting a New Informational Source. For Text + Diagrams, the amount of learning was most strongly associated with verbalizing a larger proportion of Inference and Self-Questioning. For Animation, the only significant variable was Summarizing. When not using the hypermedia environment, the significant variables were Feeling of Knowing, Prior Knowledge Activation, and Taking Notes. We close with implications for designing hypermedia environments for learning about complex science topics.
AB - A body of research has demonstrated when multiple representations of content help students learn. Few studies, however, have used process measures to understand what different cognitive processes students enact when learning from different representations. We collected pretest, posttest, think-aloud, and video data from 21 undergraduate students learning about the human circulatory system using a hypermedia encyclopedia. We measured learning as a change in a participant's mental model of the circulatory system from pretest to posttest. Students who learned more tended to spend less time in Text. While viewing Text alone, amount of learning was most strongly associated with verbalizing a smaller proportion of Feeling of Knowing, Free Search, and Selecting a New Informational Source. For Text + Diagrams, the amount of learning was most strongly associated with verbalizing a larger proportion of Inference and Self-Questioning. For Animation, the only significant variable was Summarizing. When not using the hypermedia environment, the significant variables were Feeling of Knowing, Prior Knowledge Activation, and Taking Notes. We close with implications for designing hypermedia environments for learning about complex science topics.
UR - http://www.scopus.com/inward/record.url?scp=38649138212&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=38649138212&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:38649138212
T3 - Frontiers in Artificial Intelligence and Applications
SP - 184
EP - 191
BT - Artificial Intelligence in Education
A2 - Looi, Chee-Kit
A2 - McCalla, Gord
A2 - Bredeweg, Bert
A2 - Breuker, Joost
PB - IOS Press BV
T2 - 12th International Conference on Artificial Intelligence in Education, AIED 2005
Y2 - 18 July 2005 through 22 July 2005
ER -