Virginia Clinton

When Do Comprehender Groups Differ? A Moment-by-Moment Analysis of Think-Aloud Protocols of Good and Poor Comprehenders

The purpose of this study was to examine moment-by-moment fluctuations in text comprehension processing and determine how and when poor and good comprehenders differ. To do so, we reanalyzed a dataset of think-aloud protocols from 138 intermediate elementary students. Both good and poor comprehenders used a variety of processing strategies when reading text; however, good comprehenders were more strategic in which processes they used than were poor comprehenders. Patterns of two types of poor comprehenders were also analyzed: paraphrasers and lateral connectors. The results indicate that these different reader types not only vary in aggregate but also moment-by-moment processing.

Learning about Posterior Probability: Do Diagrams and Elaborative Interrogation Help?.

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 conditions (read twice, embedded questioning, and elaborative interrogation) and one of three diagram conditions (text only, diagram without redundant text, and diagram with redundant text). Elaborative interrogation negatively affected learning from the lesson, relative to reading the lesson twice. One possible explanation for this finding is that the quality of answers to the elaborative interrogations was poor. When the lesson was read twice, diagrams helped learning from the lesson relative to text only. Implications of these findings for instruction in probabilistic reasoning are discussed.

Linguistic Markers of Inference Generation While Reading.

Words can be informative linguistic markers of psychological constructs. The purpose of this study is to examine associations between word use and the process of making meaningful connections to a text while reading (i.e., inference generation). To achieve this purpose, think-aloud data from third-fifth grade students (

Interest, inferences, and learning from texts

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The relationship between students' preferred approaches to learning and behaviors during learning: An examination of the process stage of the 3P model

N=218) reading narrative texts were hand-coded for inferences. These data were also processed with a computer text analysis tool, Linguistic Inquiry and Word Count, for percentages of word use in the following categories: cognitive mechanism words, nonfluencies, and nine types of function words. Findings indicate that cognitive mechanisms were an independent, positive predictor of connections to background knowledge (i.e., elaborative inference generation) and nonfluencies were an independent, negative predictor of connections within the text (i.e., bridging inference generation). Function words did not provide unique variance towards predicting inference generation. These findings are discussed in the context of a cognitive reflection model and the differences between bridging and elaborative inference generation. In addition, potential practical implications for intelligent tutoring systems and computer-based methods of inference identification are presented.

How readability and topic incidence relate to performance on mathematics story problems in computer-based curricula

ABSTRACT Rising textbook costs have prompted the development of open-source textbooks to increase access to education. The purpose of this case report is to examine open-source textbook adoption through the COUP framework (costs, outcomes, use, and perceptions) comparing a semester with a commercial textbook to a semester with an open-source textbook. Students (N = 520) were enrolled in an undergraduate course at a mid-sized public university in the United States. Results indicated that although costs were substantially lower, student learning outcomes and perceptions of quality were similar or better with an open-source textbook. Although students were much more likely to access the open-source textbook electronically, there were no differences in how they reported using the two textbooks to support their learning. Considering the financial savings of open-source textbooks, these findings build on existing empirical support that encourage the adoption of open-source textbooks.