Toward an Integrated Framework of Multiple Text Use

We introduce the Integrated Framework of Multiple Texts to understand how students use and form connections between multiple texts to accomplish personal or task goals. The Integrated Framework of Multiple Texts conceptualizes students’ multiple text use as unfolding over the course of three stages—preparation, execution, and production. In the preparation stage of the framework, individual difference factors and students’ task analysis result in learners’ adoption of a default stance, or a general orientation, toward multiple text use. During the execution stage of the framework, students engage in a variety of behavioral, cognitive, and metacognitive/regulatory strategies to develop cross-textual links and to integrate information across multiple texts. The execution stage concludes with students’ development of a variety of affective and cognitive outcomes as a consequence of text access. Finally, in the production stage of the framework, students draw on these affective and cognitive outcomes to develop external, often written products.     

How do students integrate multiple texts? An investigation of top-down processing

European Journal of Psychology of Education - This study describes an in-depth investigation of students’ integration or connection formation across multiple texts. Students were asked to...     

K-12 Students' Perceptions of Scientists: Finding a valid measurement and exploring whether exposure to scientists makes an impact

This study was launched from a National Science Foundation GK-12 grant in which graduate fellows in Science, Technology, Engineering, and Mathematics (STEM) are placed in classrooms to engage K-12 students in STEM activities. The investigation explored whether the STEM Fellows' presence impacted the K-12 students' stereotypical image of a scientist. Since finding a valid instrument is critical, the study involved (1) determining the validity of the commonly administered Draw-A-Scientist Test (DAST) against a newly designed six-question survey and (2) using a combination of both instruments to determine what stereotypes are currently held by children. A pretest–posttest design was used on 485 students, grades 3–11, attending 6 different schools in suburban and rural Maine communities. A significant but low positive correlation was found between the DAST and the survey; therefore, it is imperative that the DAST not be used alone, but corroboration with interviews or survey questions should occur. Pretest results revealed that the children held common stereotypes of scientists, but these stereotypes were neither as extensive nor did they increase with the grade level as past research has indicated, suggesting that a shift has occurred with children having a broader concept of who a scientist can be. Finally, the presence of an STEM Fellow corresponded with decreased stereotypes in middle school and high school, but no change in elementary age children. More research is needed to determine whether this reflects resiliency in elementary children's perceptions or limitations in either drawing or in writing out their responses.     

Another Look at the Logical Uncertainty Principle

The Logical Uncertainty Principle is re-examined from the point of classical logic. Two interpretations are given, an objective one in terms of an axiomatic theory of information, and a subjective one based on Ramsey's theory of probability.     

Measuring Relational Reasoning

Relational reasoning is the foundational cognitive ability to discern meaningful patterns within an informational stream, but its reliable and valid measurement remains problematic. In this investigation, the measurement of relational reasoning unfolded in three stages. Stage 1 entailed the establishment of a research-based conceptualization of the construct and the development of a corresponding Test of Relational Reasoning (TORR). Stage 2 focused on the reliability and validity of data from the TORR. Analyses showed the data from the TORR to be reliable indicators of students' ability to reason relationally, and TORR performance predicted students' performance on SAT verbal and math problems. Stage 3 examined the underlying structure of the construct through Confirmatory Factor Analysis (CFA). Of the three CFA models tested, models with dedicated factors for analogical, anomalous, antinomous, and antithetical reasoning were deemed the best fit for the data.     

Calibration in multiple text use

Metacognition and Learning - The literature on calibration suggests that students consider a multitude of factors when they self-evaluate task performance. Nevertheless, few studies have focused on...     

Analyzing and Integrating Models of Multiple Text Comprehension

We introduce a special issue featuring four theoretical models of multiple text comprehension. We present a central framework for conceptualizing the four models in this special issue. Specifically, we chart the models according to how they consider learner, texts, task, and context factors in explaining multiple text comprehension. In addition, the models are contrasted along three dimensions capturing different orientations toward multiple text comprehension. Models in the special issue are described as more behaviorally or cognitively focused, as conceptualizing multiple text comprehension as an internally driven or an externally triggered process, and as directly responsive to or indirectly influenced by task. The importance and relevance of this special issue for research on multiple text comprehension are discussed.     

Motivation and Self-regulation in Community College Transfer Students at a Four-year Online University

ABSTRACT

Motivation and self-regulation were examined in a sample of community college transfer students enrolled in a 4-year, online university. The relation between motivation and self-regulation and students’ performance was examined, as was the association between these learner characteristics (i.e., motivation and self-regulation) and sociodemographic factors (e.g., marital status, employment status). Motivation was found to be significantly correlated with both semester and cumulative grade point average (GPA), while associations between self-regulation and performance were more limited. Further, motivation was found to be a significant predictor of semester GPA in a model controlling for sociodemographic factors and prior achievement. Motivation and self-regulation were also found to differ according to students’ sociodemographic status. For instance, transfer students with children under 18 were found to have significantly higher levels of motivation than nonparents. Those employed full-time had lower levels of self-regulation than did their nonemployed peers. Implications for further research on community college transfer students and online learning are discussed.