Matching Items (6)
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- All Subjects: bullying
- Creators: Nakagawa, Kathryn
- Creators: Jimenez Arista, Laura
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
This dissertation study examines the coping methods and attributional styles of peer victimized children versus those who are not involved with acts of bullying. Data corresponding to elementary school children (n=317) over a period of four years from four public elementary schools in the Southwest United States was used in the present study. Latent class analyses and correlations were conducted to explore (1) whether externalizing versus internalizing or passive emotional reactions differentially influence the attributions children make regarding victimization, (2) whether externalizing types of emotional reactions differentially influence the coping methods victimized children utilize, and (3) whether children identified as "bullies" experience different types of emotional reactions than those identified as "victims." Findings revealed that children who identified as self-reported victims tended to report higher levels of internalizing feelings. However, contradictory to what was hypothesized, the victim group also reported higher levels of being mad. Specific patterns arose between the types of attributions that victimized and non-victimized children made, where the children who identified more frequently as being victims tended to report that they believed bullying took place due to reasons that were more personal in nature and more stable. Lastly, findings also revealed similarities in the ways victimized children coped with bullying.
ContributorsRandall, Megan (Author) / Caterino, Linda C (Thesis advisor) / Nakagawa, Kathryn (Committee member) / McCoy, Kathleen (Committee member) / Arizona State University (Publisher)
Created2013
Description
ABSTRACT Cyberbullying has emerged as one of educators' and researchers' chief concerns as the use of computer mediated communication (CMC) has become ubiquitous among young people. Many undesirable outcomes have been identified as being linked to both traditional and cyberbullying, including depression,truancy, and suicide. America and Japan have both been identified as nations whose youth engage frequently in the use of CMC, and may be at a potentially higher risk to be involved in cyberbullying. Time spent using CMC has been linked to involvement in cyberbullying, and gender and age have, in turn, been linked to CMC use - these may play significant roles in determining who is at risk. In order to assess the effects of nationality, gender, and age on cyberbullying involvement among Japanese and American middle school students, a survey exploring these factors was developed and carried out with 590 American and Japanese middles school students (Japan: n = 433 and America: n = 157). MANOVA results indicated that that Americans tend to both use CMC more and be more involved in cyberbullying. In addition, Japanese involvement increased with age, while American involvement did not. There were minimal differences between Americans and Japanese with regards to traditional bullying.
ContributorsLerner, David (Author) / Nakagawa, Kathryn (Thesis advisor) / Caterino, Linda (Thesis advisor) / Ladd, Becky (Committee member) / Arizona State University (Publisher)
Created2011
Description
Despite some prevailing attitudes that bullying is normal, relatively innocuous behavior, it has recently been recognized as a serious problem in schools worldwide. Victimized students are more likely to evidence poor academic and semi-academic outcomes, experience social difficulties, and drop out of school in comparison to their non-victimized peers. Although anti-bullying programs have proliferated during the last decade, those aimed at helping children cope with bullying often suffer from a lack of basic research on the effectiveness of children's responses to bullying. The focus of this study was to delineate the ways in which elementary school-aged children typically cope with peer victimization, then to examine which strategies reduce future risk for harassment and associated adjustment problems to inform prevention and intervention program development. A cohort-sequential design was used to examine the effectiveness of children's strategies for coping with peer victimization. The sample included 317 children (157 boys; 49.5% Caucasian, 50.5% Hispanic; M age =10 years 5 months at T1) who were surveyed in the Fall and Spring of two academic years. Confirmatory factory analysis was used to validate the factor structure of the coping measure used and internal reliability was verified. Comparison of means indicated differences in children's coping based upon sex and age. For example, girls tend to cope more emotionally and cognitively, while boys are more behavioral in their coping. Regression results indicated that a number of specific relationships were present between coping, victimization, loneliness, and anxiety. For example, support seeking behavior was effective at decreasing victimization for younger children (fourth graders) who experienced high initial victimization. In contrast, revenge seeking behavior was predictive of increased victimization for both girls and highly victimized students. Problem solving was effective at reducing adjustment problems over time for younger students and, although results for older students were non-significant, it appears to be a promising strategy due to a lack of association with negative future outcomes. Results highlight the importance of identifying influential characteristics of individual children in order for prevention and intervention programs to successfully decrease the incidence and adverse impact of bullying behavior.
ContributorsPolasky, Sarah Anne (Author) / Kochenderfer-Ladd, Becky (Thesis advisor) / Nakagawa, Kathryn (Thesis advisor) / Moore, Elsie G. J. (Committee member) / Arizona State University (Publisher)
Created2010
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