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McCarthy, Kathryn S.; Guerrero, Tricia A.; Kent, Kevin M.; Allen, Laura K.; McNamara, Danielle S.; Chao, Szu-Fu; Steinberg, Jonathan; O'Reilly, Tenaha; Sabatini, John – Grantee Submission, 2018
Background knowledge is a strong predictor of reading comprehension; yet little is known about how different types of background knowledge affect comprehension. The study investigated the impacts of both domain and topic-specific background knowledge on students' ability to comprehend and learn from science texts. High school students (n = 3650)…
Descriptors: Knowledge Level, Reading Comprehension, High School Students, Pretests Posttests
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Clinton, Virginia; Alibali, Martha Wagner; Nathan, Mitchel J. – Grantee Submission, 2016
To learn from a text, students must make meaningful connections among related ideas in that text. This study examined the effectiveness of two methods of improving connections--elaborative interrogation and diagrams--in written lessons about posterior probability. Undergraduate students (N = 198) read a lesson in one of three questioning…
Descriptors: Probability, Instructional Effectiveness, Undergraduate Students, Questioning Techniques
Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S. – Grantee Submission, 2016
A commonly held belief among educators, researchers, and students is that high-quality texts are easier to read than low-quality texts, as they contain more engaging narrative and story-like elements. Interestingly, these assumptions have typically failed to be supported by the literature on writing. Previous research suggests that higher quality…
Descriptors: Role, Writing (Composition), Natural Language Processing, Hypothesis Testing