|
Title:
|
EFFECTS OF BACKGROUND KNOWLEDGE AND TEXT COHERENCE ON LEARNING FROM TEXTS IN INFORMATICS |
|
Author(s):
|
Alexandra Gasparinatou , Grammatiki Tsaganou , Maria Grigoriadou |
|
ISBN:
|
978-972-8924-48-5 |
|
Editors:
|
Kinshuk, Demetrios G. Sampson, J. Michael Spector and Pedro Isaías |
|
Year:
|
2007 |
|
Edition:
|
Single |
|
Keywords:
|
Background knowledge, text local coherence, text global coherence, text base understanding, situational understanding,
Computer Networks |
|
Type:
|
Full Paper |
|
First Page:
|
147 |
|
Last Page:
|
154 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
The present study explores effects of background knowledge on learning from high- and low-coherence texts in the
domain of Informatics. We were driven theoretically by the construction-integration model of text comprehension of
Kintsch. The sample in this study was comprised of fifty-nine 1st semester students of the Department of Informatics and
Telecommunications, University of Athens. We examined students comprehension using four versions of a text,
orthogonally varying local and global coherence. Participants comprehension was examined through free-recall measure
and text based questions, problem- solving questions, and the sorting task. We found that readers with low knowledge
background performed better with a coherent text, whereas readers with high background knowledge performed better
after reading the low-coherence text. We support that this happens because the low-coherence text forces the readers of
high background knowledge to engage in compensatory processing to infer unstated relations in the text. |
|
|
|
|
|
|
