ETDs

This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.

In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.

Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.

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The: Woodcock-Johnson Three and math learning disabilities

Description
This study investigated the link between the cognitive clusters from the Woodcock–Johnson III Tests of Cognitive Ability (WJ III COG) and Broad Math, Math Calculation Skills, and Math Reasoning clusters of the Woodcock–Johnson III Tests of Achievement (WJ III ACH) using data collected over seven years by a large elementary…

This study investigated the link between the cognitive clusters from the Woodcock–Johnson III Tests of Cognitive Ability (WJ III COG) and Broad Math, Math Calculation Skills, and Math Reasoning clusters of the Woodcock–Johnson III Tests of Achievement (WJ III ACH) using data collected over seven years by a large elementary school district in the Southwest. The students in this study were all diagnosed with math learning disabilities. Multiple regression analyses were used to predict performance on the Broad Math, Math Calculation Skills, and Math Reasoning clusters from the WJ III ACH. Fluid Reasoning (Gf), Comprehension–Knowledge (Gc), Short–Term Memory (Gsm), and Long–term Retrieval (Glr) demonstrated strong relations with Broad Math and moderate relations with Math Calculation Skills. Auditory Processing (Ga) and Processing Speed (Gs) demonstrated moderate relations with Broad Math and Math Calculation Skills. Visual–Spatial Thinking (Gv) and Processing Speed (Gs) demonstrated moderate to strong relations with the mathematics clusters. The results indicate that the specific cognitive abilities of students with math learning disabilities may differ from their peers.
ContributorsBacal, Emily (Author) / Caterino, Linda (Thesis advisor) / Stamm, Jill (Committee member) / Sullivan, Amanda (Committee member) / Arizona State University (Publisher)
Created2010
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Using Internet polls to understand student perspectives for school improvement: an exploration of adolescents' views on tutoring

Description
Meeting state and federal standards is a consistent challenge for schools and their students. Although states were mandated under the No Child Left Behind Act to provide Supplemental Educational Services, such as tutoring, to underperforming schools, the current education policy under the Obama administration does not specifically address the issue…

Meeting state and federal standards is a consistent challenge for schools and their students. Although states were mandated under the No Child Left Behind Act to provide Supplemental Educational Services, such as tutoring, to underperforming schools, the current education policy under the Obama administration does not specifically address the issue of tutoring. Rather, the Recovery Act implemented in 2009, asks states to reform and improve their education systems and schools to increase success and achievement for all students. One method for increasing student achievement and decreasing the gap between groups--thereby meeting the standards mandated by local, state, and federal governments--is tutoring. Obtaining information about and seeking views on tutoring is crucial before it can be applied to school reform. The present study utilized an online poll about tutoring to obtain students' views and to examine meaningful outcomes with regard to demographic variables. Results indicated that the polls' response items had more significant relationships with the variables of age, grade, and school than with those of gender and ethnicity. The response rate for items exhibited the most differences within ethnic groups and age, grade, and school. Each question provided insights to help inform school decision-making and improvement plans; for example, students in younger grades needed more support in spelling and math, whereas adolescents in upper grades reported more difficulty with science and math. Using the results of the present study, schools and districts can tailor and implement changes accordingly; for example, they can develop the best method for a particular demographic group to relay information about tutoring. In this way, strategies can be created and applied for individualized subgroups, thereby maximizing success for all students. The insights gained about tutoring from the ones who have the most at stake--the students--will provide the basis for designing and implementing effective tutoring programs in the schools. Electronic polls are an effective method for gathering student perceptions, providing the foundation for successful school reform and student success, in addition to building a learning community for all stakeholders.
ContributorsHisrich, Katy Elizabeth (Author) / Strom, Robert (Thesis advisor) / Strom, Paris (Committee member) / Stamm, Jill (Committee member) / Arizona State University (Publisher)
Created2010
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Response to intervention universal math fluency screenings: their predictive value for student performance on national and state standardized achievement tests in Arizona

Description
The most recent reauthorizations of No Child Left Behind and the Individuals with Disabilities Education Act served to usher in an age of results and accountability within American education. States were charged with developing more rigorous systems to specifically address areas such as critical academic skill proficiency, empirically validated instruction…

The most recent reauthorizations of No Child Left Behind and the Individuals with Disabilities Education Act served to usher in an age of results and accountability within American education. States were charged with developing more rigorous systems to specifically address areas such as critical academic skill proficiency, empirically validated instruction and intervention, and overall student performance as measured on annual statewide achievement tests. Educational practice has shown that foundational math ability can be easily assessed through student performance on Curriculum-Based Measurements of Math Computational Fluency (CBM-M). Research on the application of CBM-M's predictive validity across specific academic math abilities as measured by state standardized tests is currently limited. In addition, little research is available on the differential effects of ethnic subgroups and gender in this area. This study investigated the effectiveness of using CBM-M measures to predict achievement on high stakes tests, as well as whether or not there are significant differential effects of ethnic subgroups and gender. Study participants included 358 students across six elementary schools in a large suburban school district in Arizona that utilizes the Response to Intervention (RTI) model. Participants' CBM-M scores from the first through third grade years and their third grade standardized achievement test scores were collected. Pearson product-moment and Spearman correlations were used to determine how well CBM-M scores and specific math skills are related. The predictive validity of CBM-M scores from the third-grade school year was also assessed to determine whether the fall, winter, or spring screening was most related to third-grade high-stakes test scores.
ContributorsGambrel, Thomas J (Author) / Caterino, Linda (Thesis advisor) / Stamm, Jill (Committee member) / DiGangi, Samuel (Committee member) / Arizona State University (Publisher)
Created2014