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Helge I. Strømsø – Reading and Writing: An Interdisciplinary Journal, 2024
In this study, I investigated the print exposure and website exposure of undergraduates in relation to their scores on a text comprehension test. Print exposure was measured with a national version of the author recognition test, whereas a new website recognition test was developed to measure students' exposure to texts on the internet. The…
Descriptors: Web Sites, Reader Text Relationship, Printed Materials, Reading Comprehension
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Winchell, Adam; Lan, Andrew; Mozer, Michael – Cognitive Science, 2020
When engaging with a textbook, students are inclined to highlight key content. Although students believe that highlighting and subsequent review of the highlights will further their educational goals, the psychological literature provides little evidence of benefits. Nonetheless, a student's choice of text for highlighting may serve as a window…
Descriptors: Predictor Variables, Reading Comprehension, Student Interests, Reader Text Relationship
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Kuperman, Victor; Matsuki, Kazunaga; Van Dyke, Julie A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
The present research presents a novel method for investigating how characteristics of texts (words, sentences, and passages) and individuals (verbal and general cognitive skills) jointly influence eye-movement patterns over the time-course of reading, as well as comprehension accuracy. Fifty-one proficient readers read passages of varying…
Descriptors: Reader Text Relationship, Eye Movements, Oral Reading, Reading Tests
Goedecke, Patricia J.; Dong, Daqi; Shi, Genghu; Feng, Shi; Risko, Evan; Olney, Andrew M.; D'Mello, Sidney K.; Graesser, Arthur C. – International Educational Data Mining Society, 2015
Engagement during reading can be measured by the amount of time readers invest in the reading process. It is hypothesized that disengagement is marked by a decrease in time investment as compared with the demands made on the reader by the text. In this study, self-paced reading times for screens of text were predicted by a text complexity score…
Descriptors: Learner Engagement, Reader Text Relationship, Time, Predictor Variables