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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

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
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Description
This phenomenological study explores the question: What are the lived experiences of Arizonans who identify their gender identities as ‘non-binary’? (‘non-binary’ defined here as anyone who identifies their gender as something other than ‘always and exclusively male or always and exclusively female’). The study explores the lived realities of four

This phenomenological study explores the question: What are the lived experiences of Arizonans who identify their gender identities as ‘non-binary’? (‘non-binary’ defined here as anyone who identifies their gender as something other than ‘always and exclusively male or always and exclusively female’). The study explores the lived realities of four non-binary identified transgender people living in Arizona. Each participant took a short survey and conducted a 45-minute in-person interview, conducted through phenomenological questioning to evoke deep descriptions of experience. After analyzing the results through feminist hermeneutic phenomenology, this study suggests that the experience of non-binary gender identity presents an essential pattern of cultivating self-realization. The essential themes of internal recognition, external presentation, and movement toward wellness fell into this pattern. The United States has conceptualized transgender identity in many ways, from pathologizing to politicizing, to medically affirming views. Although the literature on this topic is quite small, there is no doubt that non-binary transgender people exist in U.S. public life. Ultimately, if non-binary people are to find affirming paths toward self-realization, they must be heard from their own experiences in their own voices.
ContributorsSkinner, Ashton (Author) / Sandlin, Jennifer (Thesis advisor) / Nakagawa, Kathryn (Committee member) / Santos, Carlos (Committee member) / Arizona State University (Publisher)
Created2017
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Description
A preliminary critical ethnographic study was conducted to garner Punjabi Sikh U.S. young adults’ understandings and experiences with their cultural, religious, gender, and sexual identity development. Nine participants from King County, Washington were interviewed and engaged in a weeklong self-reflective journal writing activity. This data was then analyzed alongside existing

A preliminary critical ethnographic study was conducted to garner Punjabi Sikh U.S. young adults’ understandings and experiences with their cultural, religious, gender, and sexual identity development. Nine participants from King County, Washington were interviewed and engaged in a weeklong self-reflective journal writing activity. This data was then analyzed alongside existing scholarship. This study indicates that participants experience challenges in navigating their bicultural identity, grappling with the historical and present trauma their communities endure. Additionally, to navigate such challenges, Punjabi Sikh U.S. young adults invoke various methods to negotiate their various cultures, identities, and desires, and remain resilient.
ContributorsSahota, Komalpreet Kaur (Author) / Nakagawa, Kathryn (Thesis advisor) / Shabazz, Rashad (Thesis advisor) / Bailey, Marlon (Committee member) / Arizona State University (Publisher)
Created2019
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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

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
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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

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
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Description
Anti-trafficking research recognizes several populations affected by Commercial Sexual Exploitation (CSE) in the United States (U.S.), yet it has not yet recognized long-term survivors, whose experiences of CSE occurred from the 1960s through the 2000s. Rendering long-term survivors invisible erases the history of CSE in the U.S. and prevents an

Anti-trafficking research recognizes several populations affected by Commercial Sexual Exploitation (CSE) in the United States (U.S.), yet it has not yet recognized long-term survivors, whose experiences of CSE occurred from the 1960s through the 2000s. Rendering long-term survivors invisible erases the history of CSE in the U.S. and prevents an accurate assessment of the true scope of CSE that it extends from infancy through adulthood. The most grievous CSE cultures target both boys and girls beginning at infancy and extending through early childhood. This project provides a foundation for understanding who long-term survivors are, the types of CSE they experienced, and their experiences of survivency in the decades after exiting. This study utilized interviews and surveys to collect data from 35 long-term survivors, regarding their experiences in the years past exiting. In addition, it also included a systematic analysis of 43 survivor-authors who have documented their experiences in 76 published writings. Findings show that long-term survivors display tenacity and resourcefulness in dealing with complex, intersecting issues. Their experiences of creating new, meaning-filled identities, reconnecting with humanity, and building a positive view of the world can help pave the way for a smoother road of restoration for younger survivors.
ContributorsWeaver, Melanie Lynne (Author) / Swadener, Elizabeth B (Thesis advisor) / Nakagawa, Kathryn (Committee member) / Arzubiaga, Angela (Committee member) / Henderson, Deborah (Committee member) / Arizona State University (Publisher)
Created2019