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Scanning and deep processing of information in hypertext: an eye tracking and cued retrospective think-aloud study.
- Source :
- Journal of Computer Assisted Learning; Jun2017, Vol. 33 Issue 3, p222-233, 12p, 1 Black and White Photograph, 1 Graph
- Publication Year :
- 2017
-
Abstract
- When students solve problems on the Internet, they have to find a balance between quickly scanning large sections of information in web pages and deeply processing those that are relevant for the task. We studied how high school students articulate scanning and deeper processing of information while answering questions using a Wikipedia document, and how their reading comprehension skills and the question type interact with these processes. By analyzing retrospective think-aloud protocols and eye-tracking measures, we found that scanning of information led to poor hypertext comprehension, while deep processing of information produced better performance, especially in location questions. This relationship between scanning, deep processing, and performance was qualified by reading comprehension skills in an unexpected way: Scanning led to lower performance especially for good comprehenders, while the positive effect of deep processing was independent of reading comprehension skills. We discussed the results in light of our current knowledge of Internet problem solving. [ABSTRACT FROM AUTHOR]
- Subjects :
- HYPERTEXT systems
COMPUTER assisted instruction
EYE tracking
INFORMATION processing
SECONDARY education
HIGH school students
COMPUTER software
ANALYSIS of covariance
ANALYSIS of variance
CONCEPTUAL structures
EYE movements
MULTIVARIATE analysis
PROBLEM solving
QUESTIONNAIRES
READING
RESEARCH funding
WORLD Wide Web
Subjects
Details
- Language :
- English
- ISSN :
- 02664909
- Volume :
- 33
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Journal of Computer Assisted Learning
- Publication Type :
- Academic Journal
- Accession number :
- 122988145
- Full Text :
- https://doi.org/10.1111/jcal.12152