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Coherence building while reading multiple complementary documents

delete2024-06-01
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PRE
AI
M
Matthew T. McCrudden *
L
Linh Huynh
B
Bailing Lyu
J
Jonna M. Kulikowich
D
Danielle S. McNamara
DOI:10.1016/j.cedpsych.2024.102266delete
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摘要

摘要

En 中文
Readers build a mental representation of text during reading. The coherence building processes readers use to build a mental representation during reading is key to comprehension. We examined the effects of selfexplanation on coherence building processes as undergraduates (n = 51) read five complementary texts about natural selection and completed a post-reading measure of topic knowledge. Participants generated constructed responses (verbal protocols) while reading. We varied the use of constructed response prompt (self-explain vs. think-aloud) and constructed response format (typed vs. oral) to examine their impact on the quality of readers' constructed responses and their coherence building processes (i.e., cohesion). Participants who received selfexplanation instructions had higher quality constructed responses than participants who received think-aloud instructions, regardless of whether responses were typed or spoken aloud. Natural Language Processing (NLP) analyses indicated that participants who were prompted to self-explain generated more cohesive responses than those who were prompted to think-aloud. Participants who received self-explanation instructions had more coherent mental models during reading and typing was related to more cohesive responses when participants were asked to self-explain. Participants whose constructed responses were more lexically cohesive during reading had better performance on the post-reading test.
Keyword:
Coherence building
Self -explanation
Think -aloud
Cohesion
Multiple document comprehension
Natural Language Processing (NLP)

期刊

Contemporary Educational Psychology 封面图
Contemporary Educational Psychology
IF:
3.8
论文数:
1.8K
被引数:
1.0W

机构

P
Pennsylvania State University
学者数:
3.0W
论文数: 2.6W
被引数: 7.2W
P
pennsylvania commonwealth system of higher education (pcshe)
学者数:
12.9W
论文数: 11.7W
被引数: 177
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