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Description
The primary objective of this study was to develop the Perceived Control of the Attribution Process Scale (PCAPS), a measure of metacognitive beliefs of causality, or a perceived control of the attribution process. The PCAPS included two subscales: perceived control of attributions (PCA), and awareness of the motivational consequences of

The primary objective of this study was to develop the Perceived Control of the Attribution Process Scale (PCAPS), a measure of metacognitive beliefs of causality, or a perceived control of the attribution process. The PCAPS included two subscales: perceived control of attributions (PCA), and awareness of the motivational consequences of attributions (AMC). Study 1 (a pilot study) generated scale items, explored suitable measurement formats, and provided initial evidence for the validity of an event-specific version of the scale. Study 2 achieved several outcomes; Study 2a provided strong evidence for the validity and reliability of the PCA and AMC subscales, and showed that they represent separate constructs. Study 2b demonstrated the predictive validity of the scale and provided support for the perceived control of the attribution process model. This study revealed that those who adopt these beliefs are significantly more likely to experience autonomy and well-being. Study 2c revealed that these constructs are influenced by context, yet they lead to adaptive outcomes regardless of this contextual-specificity. These findings suggest that there are individual differences in metacognitive beliefs of causality and that these differences have measurable motivational implications.
ContributorsFishman, Evan Jacob (Author) / Nakagawa, Kathryn (Committee member) / Husman, Jenefer (Committee member) / Graham, Steve (Committee member) / Moore, Elsie (Committee member) / Arizona State University (Publisher)
Created2014
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Description
This dissertation develops a heuristic—one I call the iterative narrative reflection framework—for rhetorically engaged, data-driven teacherly theory building using Kenneth Burke’s frames of acceptance and rejection. Teacher-scholars regularly develop curricula and lesson plans informed by theory and prior experience, but the daily practice of teaching and learning with students rarely

This dissertation develops a heuristic—one I call the iterative narrative reflection framework—for rhetorically engaged, data-driven teacherly theory building using Kenneth Burke’s frames of acceptance and rejection. Teacher-scholars regularly develop curricula and lesson plans informed by theory and prior experience, but the daily practice of teaching and learning with students rarely plays out as expected. In many cases, institutional constraints and the unpredictable lives of students interact with teachers’ plans in surprising and sometimes confounding ways. Teachers typically make sense of such challenges by constructing post-hoc narratives about what happened and why, attributing motives and agencies to other participants in ways that suggest how to respond, move forward, and get back on track. Whether such narratives are part of a deliberate practice of reflection or an informal and largely unnoticed mental process, they are rarely thought of as constructed accounts and therefore as rhetorical acts that can be subjected to serious review, criticism, and revision. Yet these stories are shaped by familiar genre conventions that influence interpretations of events and motives in ways that may or may not serve well as teachers consider how best to respond to unfolding events. Using the iterative narrative reflection framework to guide my analysis of my own teacherly narratives through multiple layers of reflection and criticism, I demonstrate across the dissertation’s three cases how such deliberate, methodical analysis can reveal tacit assumptions and additional interpretive possibilities. Ultimately, such a process of iterative reflection enables the teacher-scholar to choose from among a wider range of available means of persuasion and pedagogical possibilities.
ContributorsRobinson, Rebecca Joanna (Author) / Long, Elenore (Thesis advisor) / Rose, Shirley K. (Thesis advisor) / Miller, Keith D. (Committee member) / Arizona State University (Publisher)
Created2019
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Description
The shift across developmental education from prerequisite to corequisite remediation has left students underprepared for college-level mathematics in need of additional support. Typically, this support takes the form of content remediation, but what happens when this extra help is reframed in terms of student learning skills and confidence? Taking place

The shift across developmental education from prerequisite to corequisite remediation has left students underprepared for college-level mathematics in need of additional support. Typically, this support takes the form of content remediation, but what happens when this extra help is reframed in terms of student learning skills and confidence? Taking place across four sections of College Algebra at a large community college in Texas, this mixed methods, quasi-experiment examined the academic and affective outcomes between students given the usual, content-centered remediation versus an intervention grounded in the theories of self-regulated learning and growth mindset. This intervention included explicit instruction on cognitive and metacognitive learning strategies and growth mindset principles, weekly reflective student learning journal writing prompts, and a reworking of formative assessments. No statistically significant differences were found between the two groups, but higher exam scores by the intervention group indicate possible practical significance. Qualitative differences also emerged between the two groups with the intervention group self-reporting a wider variety and more frequent use of metacognitive learning strategies, demonstrating a higher degree of self-experimentation and strategic planning, and experiencing greater increases in external locus of control and self-confidence. Although many interesting avenues remain to be studied the incorporation of self-regulated learning and growth mindset principles may help students enrolled in corequisite algebra-based courses become more effective learners.
ContributorsCollins Montalbano, Amy (Author) / Henriksen, Danah (Thesis advisor) / Firetto, Carla M (Committee member) / Simpson, Nancy (Committee member) / Arizona State University (Publisher)
Created2021
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Description
Individuals encounter problems daily wherein varying numbers of constraints require delimitation of memory to target goal-satisfying information. Multiply-constrained problems, such as compound remote associates, are commonly used to study this type of problem solving. Since their development, multiply-constrained problems have been theoretically and empirically related to creative thinking, analytical problem

Individuals encounter problems daily wherein varying numbers of constraints require delimitation of memory to target goal-satisfying information. Multiply-constrained problems, such as compound remote associates, are commonly used to study this type of problem solving. Since their development, multiply-constrained problems have been theoretically and empirically related to creative thinking, analytical problem solving, insight problem solving, intelligence, and a multitude of other cognitive abilities. Critically, in order to correctly solve a multiply-constrained problem the solver must have the solution available in memory and be able to target and access to that information. Experiment 1 determined that the cue – target relationship affects the likelihood that a problem is solved. Moreover, Experiment 2 identified that the association between cues and targets predicted inter- & intra-individual differences in multiply-constrained problem solving. Lastly, Experiment 3 found monetary incentives failed to improve problem solving performance likely due to knowledge serving as a limiting factor on performance. Additionally, problem solvers were shown to be able to reliably assess the likelihood they would solve a problem. Taken together all three studies demonstrated the importance of knowledge & knowledge structures on problem solving performance.
ContributorsEllis, Derek (Author) / Brewer, Gene A (Thesis advisor) / Homa, Donald (Committee member) / Blais, Chris (Committee member) / Goldinger, Stephen (Committee member) / Arizona State University (Publisher)
Created2021