Matching Items (5)
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- All Subjects: cognitive engagement
- All Subjects: Response to intervention (Learning disabled children)
- Creators: Jimenez Arista, Laura
- Creators: Stamm, Jill
- Creators: Allison, Tamara Alice
- Member of: Theses and Dissertations
Description
This study tested the effects of two kinds of cognitive, domain-based preparation tasks on learning outcomes after engaging in a collaborative activity with a partner. The collaborative learning method of interest was termed "preparing-to-interact," and is supported in theory by the Preparation for Future Learning (PFL) paradigm and the Interactive-Constructive-Active-Passive (ICAP) framework. The current work combined these two cognitive-based approaches to design collaborative learning activities that can serve as alternatives to existing methods, which carry limitations and challenges. The "preparing-to-interact" method avoids the need for training students in specific collaboration skills or guiding/scripting their dialogic behaviors, while providing the opportunity for students to acquire the necessary prior knowledge for maximizing their discussions towards learning. The study used a 2x2 experimental design, investigating the factors of Preparation (No Prep and Prep) and Type of Activity (Active and Constructive) on deep and shallow learning. The sample was community college students in introductory psychology classes; the domain tested was "memory," in particular, concepts related to the process of remembering/forgetting information. Results showed that Preparation was a significant factor affecting deep learning, while shallow learning was not affected differently by the interventions. Essentially, equalizing time-on-task and content across all conditions, time spent individually preparing by working on the task alone and then discussing the content with a partner produced deeper learning than engaging in the task jointly for the duration of the learning period. Type of Task was not a significant factor in learning outcomes, however, exploratory analyses showed evidence of Constructive-type behaviors leading to deeper learning of the content. Additionally, a novel method of multilevel analysis (MLA) was used to examine the data to account for the dependency between partners within dyads. This work showed that "preparing-to-interact" is a way to maximize the benefits of collaborative learning. When students are first cognitively prepared, they seem to make the most efficient use of discussion towards learning, engage more deeply in the content during learning, leading to deeper knowledge of the content. Additionally, in using MLA to account for subject nonindependency, this work introduces new questions about the validity of statistical analyses for dyadic data.
ContributorsLam, Rachel Jane (Author) / Nakagawa, Kathryn (Thesis advisor) / Green, Samuel (Committee member) / Stamm, Jill (Committee member) / Arizona State University (Publisher)
Created2013
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 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
Description
ABSTRACT
Due to variation that exists in providing Tier 2 reading intervention instruction, the purpose of the study was to identify processes and instructional strategies currently being utilized by K-2 teachers of the Gallup, New Mexico elementary schools. 17 teachers from 9 of the 10 elementary schools participated in the study. A survey instrument was designed and administered using Survey Monkey as the tool to collect the data on how teachers are implementing Tier 2 reading intervention instruction. Research Question 1 asked how teachers are currently implementing Tier 2 reading interventions as far as structure/processes, lesson planning, and collaboration. The highest percentages of teachers reported the following: one additional staff assisting grade level teachers, group sizes of 4-6 students, progress monitoring 6 or more times a year, using DIBELS scores for student placement, utilizing ability groups within the grade level with each having its own instructors, and instruction being provided 5 days a week for 30-35 minutes. Research Question 2 asked for teachers' opinions as to using available staff, instructions for benchmark students, and the amount and usefulness of meetings. A majority of teachers agreed to using all available staff, that accelerated learning opportunities are being provided to students performing at the benchmark level, and that meetings are occurring frequently and are useful. Research Question 3 inquired as to practices and processes teachers feel are effective as well as their recommendations for improving instruction and for professional development. Effective practices reported include: using phonics, decoding, and fluency; small group instruction; multi-sensory instruction or hands-on activities; Linda-Mood Bell programs; data analysis to group students; the Project Read program; word family/patterns; sight words; comprehension; materials and curriculum provided; and consistency with holding interventions daily. Though all reported feeling moderately to very confident in their ability to teach reading, they recommended that they learn more current, non-traditional strategies as well as receive more training in familiar approaches like ELL strategies, differentiated instruction, learning centers, and identifying reading difficulties. After a review of the data, the researcher recommends training teachers to conduct their own research to seek out strategies, programs, and resources; investing in and implementing an effective commercially produced Tier 2 program; and for teams to devote more time in developing, sharing, and revising lesson plans.
Due to variation that exists in providing Tier 2 reading intervention instruction, the purpose of the study was to identify processes and instructional strategies currently being utilized by K-2 teachers of the Gallup, New Mexico elementary schools. 17 teachers from 9 of the 10 elementary schools participated in the study. A survey instrument was designed and administered using Survey Monkey as the tool to collect the data on how teachers are implementing Tier 2 reading intervention instruction. Research Question 1 asked how teachers are currently implementing Tier 2 reading interventions as far as structure/processes, lesson planning, and collaboration. The highest percentages of teachers reported the following: one additional staff assisting grade level teachers, group sizes of 4-6 students, progress monitoring 6 or more times a year, using DIBELS scores for student placement, utilizing ability groups within the grade level with each having its own instructors, and instruction being provided 5 days a week for 30-35 minutes. Research Question 2 asked for teachers' opinions as to using available staff, instructions for benchmark students, and the amount and usefulness of meetings. A majority of teachers agreed to using all available staff, that accelerated learning opportunities are being provided to students performing at the benchmark level, and that meetings are occurring frequently and are useful. Research Question 3 inquired as to practices and processes teachers feel are effective as well as their recommendations for improving instruction and for professional development. Effective practices reported include: using phonics, decoding, and fluency; small group instruction; multi-sensory instruction or hands-on activities; Linda-Mood Bell programs; data analysis to group students; the Project Read program; word family/patterns; sight words; comprehension; materials and curriculum provided; and consistency with holding interventions daily. Though all reported feeling moderately to very confident in their ability to teach reading, they recommended that they learn more current, non-traditional strategies as well as receive more training in familiar approaches like ELL strategies, differentiated instruction, learning centers, and identifying reading difficulties. After a review of the data, the researcher recommends training teachers to conduct their own research to seek out strategies, programs, and resources; investing in and implementing an effective commercially produced Tier 2 program; and for teams to devote more time in developing, sharing, and revising lesson plans.
ContributorsAllison, Tamara Alice (Author) / Appleton, Nicholas (Thesis advisor) / Spencer, Dee (Committee member) / Hotchkiss, Margaret (Committee member) / Arizona State University (Publisher)
Created2016
Description
During the global COVID-19 pandemic in 2020, many universities shifted their focus to hosting classes and events online for their student population in order to keep them engaged. The present study investigated whether an association exists between student engagement (an individual’s engagement with class and campus) and resilience. A single-shot survey was administered to 200 participants currently enrolled as undergraduate students at Arizona State University. A multiple regression analysis and Pearson correlations were calculated. A moderate, significant correlation was found between student engagement (total score) and resilience. A significant correlation was found between cognitive engagement (student’s approach and understanding of his learning) and resilience and between valuing and resilience. Contrary to expectations, participation was not associated with resilience. Potential explanations for these results were explored and practical applications for the university were discussed.
ContributorsEmmanuelli, Michelle (Author) / Jimenez Arista, Laura (Thesis director) / Sever, Amy (Committee member) / College of Integrative Sciences and Arts (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
We attempted to apply a novel approach to stock market predictions. The Logistic Regression machine learning algorithm (Joseph Berkson) was applied to analyze news article headlines as represented by a bag-of-words (tri-gram and single-gram) representation in an attempt to predict the trends of stock prices based on the Dow Jones Industrial Average. The results showed that a tri-gram bag led to a 49% trend accuracy, a 1% increase when compared to the single-gram representation’s accuracy of 48%.
ContributorsBarolli, Adeiron (Author) / Jimenez Arista, Laura (Thesis director) / Wilson, Jeffrey (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05