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- Creators: Arizona State University
- Creators: Alvarez, Melanie
- Resource Type: Text
Description
An intervention study was conducted with elementary physical education teachers and their use of a newly developed series of fitness segments called Knowledge in Action (KIA). This study was designed to enable teachers to teach healthy behavior knowledge (HBK) in their classes without sacrificing physical activity levels. This study has two phases. First, the intervention was conducted to determine the effectiveness of the KIA fitness segment intervention. Second, teachers' perceptions of both teaching HBK and the KIA fitness segments were investigated. Ten teacher participants were randomly assigned to the intervention or control group. Intervention teachers participated in professional development, provided with all teaching materials, and YouTube videos that modeled the teaching of the KIA fitness segments. Teacher fidelity was measured through observations. Student physical activity patterns were measured in randomly selected teachers' classes (both intervention and control) to determine potential physical activity pattern differences between groups. Teachers were interviewed from one to three times across the project in order to determine perceptions of teaching HBK and the KIA fitness segments. Researchers used constant comparison method to uncover possible common themes. Student knowledge was assessed pre/post using PE Metrics Standard 3 cognitive test to determine HBK changes. Data analysis included General liner models (GLM) at the student level (gender) and Hierarchical linear models (HLM) at the school level (treatment, school). There was a moderate mean teacher fidelity score (77.9%) found among the intervention teachers. HLM results showed students in the intervention group had a 3.4(20%) greater improvement in HBK scores when compared with their control counterparts (p<0.001). Student activity levels were found to be similar in both groups with 871.33 and 822.22 steps in the intervention and control groups, respectively. Although all of the teachers thought it was important to teach HBK they were not spending time on it during classes at pretest. Three common themes were discovered: (a) Effective Teacher Training of the Segments, (b), Teachers Learned a Novel Strategy, and (c) Teachers Recommended Modifications. In summary, the KIA fitness segments received favorable views and gave teachers a way to teach HBK without reducing physical activity time.
ContributorsHodges, Michael (Author) / Kulinna, Pamela (Thesis advisor) / Van Der Mars, Hans (Committee member) / Lee, Chong (Committee member) / Arizona State University (Publisher)
Created2013
Description
ABSTRACT In this work, I provide two novel pieces of evidence in favor of the view that there is pragmatic encroachment on knowledge. First, I present an empirical case via the results of a series of recent experiments to show that folk-knowledge attributions may be sensitive to time constraints even when the latter are construed in a non-truth relevant manner. Along the way, I consider some comments made by Jonathan Schaffer (2006) as it pertains to interpreting time constraints-sensitivity in a manner that supports contextualism, before offering reasons to resist such a treatment. I proceed by applying interest relative invariantism to adjudicate a conflict in the epistemology of testimony namely, the positive reasons requirement a la, reductionism vs. non-reductionism. In particular, I highlight how whether an epistemic subject H needs positive non-testimonial reasons to be justified in accepting S's testimony that p, depends on what is at stake for H in believing that p and how much time H has in deliberating about p.
ContributorsShin, Joseph Ellis (Author) / Pinillos, N. Angel (Thesis advisor) / Reynolds, Steven L (Committee member) / White, Michael J. (Committee member) / Arizona State University (Publisher)
Created2013
Description
The increase in obesity since the 1980's has been associated with fast-food consumption. In hopes that calorie labeling will be an effective tool to combat obesity, congress included a provision in the Patient Protection and Affordable Care Act of 2010 (ACA) that will require all restaurants with twenty or more locations to post calorie information for each menu item. Current research has provided mixed results regarding the effectiveness of calorie labeling, but overall seems to suggest that calorie labeling may only be effective among certain populations. In September, 2012 McDonald's began to post calorie labels on their menu boards before it was federally mandated under the ACA. This policy provided the opportunity to study the impact of calorie labeling on the purchasing behavior of McDonald's patrons. This cross-sectional study was designed to determine if self-perception of diet, self-perception of health, smoking, physical activity, fruit and vegetable intake, or knowledge of daily calorie requirements is associated with the likelihood of noticing or using calorie labels, or total calories purchased. In addition, relationships between noticing or using calorie labels with total calories purchased were also examined. Receipts and survey responses were collected from 330 participants who purchased food and beverage items from 27 different McDonald's locations within a 20 mile radius of downtown Phoenix, Arizona. Results indicated that only 16.1% of the sample reported using calorie labels, and those who reported using calorie labels purchased an average of 136 fewer calories. Multivariate analysis indicated there were no statistically significant relationships between self-perception of diet, self-perception of health, smoking, physical activity, fruit and vegetable intake, or knowledge of daily calorie requirements with the likelihood of noticing or using calorie labels, or total calories purchased. However, it is possible that the small sample size of participants using calorie labeling precluded any statistically significant relationships among these variables from emerging. Further research with larger sample sizes should be conducted, to investigate individual level factors that may be associated with use of calorie labeling.
ContributorsBrown, Alan (Author) / Ohri-Vachaspati, Punam (Thesis advisor) / Bruening, Meredith (Committee member) / Wharton, Christopher (Christopher Mack), 1977- (Committee member) / Arizona State University (Publisher)
Created2013
Description
The purpose of this study is to explore the knowledge and attitudes about autism spectrum disorders among Hispanics in the Southwest. The study will also examine perceived barriers in obtaining resources and preferences in accessing health care. Participants (N = 169) were surveyed using the Autism Awareness Survey, which was developed specifically for this research. Significant differences were found between individuals with high acculturation and low acculturation in exposure to autism, knowledge about autism, perceived barriers to obtaining resources and health care, and attitudes towards people with autism. Additionally, the findings also suggest that although the surveyed population was knowledgeable about the symptoms associated with autism, less well known is the etiology and course of the disorder. The research underscores the serious need for both Spanish educational resources and Spanish-speaking health care providers to address the needs of Hispanics with regards to autism, especially with individuals with low levels of acculturation.
ContributorsVoelkel, Heather (Author) / LeCroy, Craig W. (Thesis advisor) / Williams, Lela (Committee member) / Holschuh, Jane (Committee member) / Arizona State University (Publisher)
Created2012
Description
Collaborative learning is a potential technique for teachers to use to meet the diverse learning needs of the students in their classrooms. Previous studies have investigated the contexts in which the benefits of collaborative learning show greater presence. The most important factor found was the quality of the interactions. Studies have suggested that high achieving students are capable of improving the quality of interactions. This bears the question if prior knowledge plays an influence in the learning outcome of students in collaborative learning. Results show that high prior knowledge students do not face a detriment in having low prior knowledge students as a partner comparing to having another high prior knowledge student and that low prior knowledge students show significantly higher learning outcome when partnered with a high prior knowledge partner than with another low prior knowledge student. It is therefore likely that having a high prior knowledge student within a dyad improves the quality of interaction, resulting in greater learning outcome through collaborative learning.
ContributorsKeyvani, Kewmars (Author) / Chi, Michelene (Thesis director) / Wylie, Ruth (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor) / School of Life Sciences (Contributor)
Created2014-05
Description
Arizona is a unique state in that rain is not a normal occurrence throughout most of the year (NWS). Arizona averages from less than three months to half a month of measurable precipitation days per year (WRCC). With that, it is important to know the public’s understanding as well as their general trend of likeness towards the weather forecasts they receive. A questionnaire was distributed to 426 people in the state of Arizona to review what they understand from the forecasts and what they would like to see on social media and television.
ContributorsHermansen, Alexis Nicole (Author) / Alvarez, Melanie (Thesis director) / Cerveny, Randall (Committee member) / Hondula, David M. (Committee member) / Walter Cronkite School of Journalism & Mass Comm (Contributor) / School of Geographical Sciences and Urban Planning (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
How is knowledge created at the intersections between basic science, biotechnology, and industry? Gene drives are an interesting example, as they combine a long-standing interest with a recent technological breakthrough and a new set of commercial applications. Gene drives are genes engineered such that they are preferentially inherited at a frequency greater than the typical Mendelian fifty percent ratio. During the historical and conceptual evolution of gene drives beginning in the 1960s, there have been many innovations and publications. Along with that, gene drive science developed considerable public attention, explosion of new scientists, and variation in the way the topic is discussed. It is now time to look at this new organization of science using a systematic approach to characterize the system that has enabled knowledge to grow in this scientific field. This project breaks new ground in how knowledge advances in genetic engineering science, and how scientists understand what a “gene drive” is through analysis of language, communities, and other social factors. In effect, this research will advance multiple fields and enable a deeper understanding of knowledge and complexity. This project documents patterns of publication, collaborative relationships, linguistic variation, innovation, and knowledge expansion. The results of computational analysis provide an in-depth and complete characterization of the structure, dynamics, and evolution of scientific knowledge found in the gene drive technology. Further, time series analysis of the multiple layers of discourse enabled a diachronic connective mapping of collaborative relationships and tracked linguistic variation and change, highlighting where ambiguous language may appear, improving and creating more cohesive scientific language.
Overall, depicting the structure, dynamics, and evolution of scientific knowledge during a novel eruption of scientific complexity can shed light on the factors that can lead to: (1) improved scientific communication, (2) reduction of scientific progress, (3) new knowledge, and (4) novel collaborative relationships. Therefore, characterizing the current technological, methodological, and social contexts that can influence scientific knowledge.
ContributorsOToole, Cody Lane (Author) / Laubichler, Manfred (Thesis advisor) / Collins, James P (Committee member) / Simeone, Michael (Committee member) / Evans, James (Committee member) / Arizona State University (Publisher)
Created2021
Description
In natural language processing, language models have achieved remarkable success over the last few years. The Transformers are at the core of most of these models. Their success can be mainly attributed to an enormous amount of curated data they are trained on. Even though such language models are trained on massive curated data, they often need specific extracted knowledge to understand better and reason. This is because often relevant knowledge may be implicit or missing, which hampers machine reasoning. Apart from that, manual knowledge curation is time-consuming and erroneous. Hence, finding fast and effective methods to extract such knowledge from data is important for improving language models. This leads to finding ideal ways to utilize such knowledge by incorporating them into language models. Successful knowledge extraction and integration lead to an important question of knowledge evaluation of such models by developing tools or introducing challenging test suites to learn about their limitations and improve them further. So to improve the transformer-based models, understanding the role of knowledge becomes important. In the pursuit to improve language models with knowledge, in this dissertation I study three broad research directions spanning across the natural language, biomedical and cybersecurity domains: (1) Knowledge Extraction (KX) - How can transformer-based language models be leveraged to extract knowledge from data? (2) Knowledge Integration (KI) - How can such specific knowledge be used to improve such models? (3) Knowledge Evaluation (KE) - How can language models be evaluated for specific skills and understand their limitations?
I propose methods to extract explicit textual, implicit structural, missing textual, and missing structural knowledge from natural language and binary programs using transformer-based language models. I develop ways to improve the language model’s multi-step and commonsense reasoning abilities using external knowledge. Finally, I develop challenging datasets which assess their numerical reasoning skills in both in-domain and out-of-domain settings.
ContributorsPal, Kuntal Kumar (Author) / Baral, Chitta (Thesis advisor) / Wang, Ruoyu (Committee member) / Blanco, Eduardo (Committee member) / Yang, Yezhou (Committee member) / Arizona State University (Publisher)
Created2023
Description
This is a qualitative study, to examine how Indigenous ways of knowing could inform Western standardized learning by taking part in a series of learning experiences related to Hula and building connections to the local environment. I enacted a series of site-specific visitations that focused on Indigenous artistic practices related to Hawaii's highest art form, Hula, as well as local sites dedicated to Indigenous environmental preservation. These visits examined dance, chant, talk-story, and environmental practices taught from an Indigenous way of knowing. The purpose of these enactments was to know how embodied learning approaches, informed by Indigenous methodologies, impact learners’ connections to pedagogical content and the learning environment, and how that subject matter was conveyed and received through the embodied act of site-specific visitations. I will address the ways in which understanding through site visits emerged in these Indigenous ways of knowing. I will explain how the Indigenous practices and ways of knowing offer a different understanding of standardized learning, and argue what could be gained by adding these methodologies to art curriculum in site-specific locations.
ContributorsSoudani, Jessica Marie (Author) / Coats, Cala (Thesis advisor) / Young, Bernard (Thesis advisor) / Button, Melissa (Committee member) / Arizona State University (Publisher)
Created2022
Description
This dissertation seeks to identify an ecology of knowledge to serve as a theoretical lens for understanding the state of the electronic waste management industry in the United States. Semi-structured interviews of stakeholder groups such as e-waste recyclers, manufacturers, government agencies, refurbishers, and other interested organizations were used to determine the current status of used electronics management in the US. The focus is on how the electronics reuse and recycling industry is being affected by the rapid changes in consumer electronic device technology as well as the lack of recycling infrastructure, insufficient consumer engagement with electronics reuse and repair, and inconsistent regulation. The stakeholders which are being impacted by the changing industry are also participating in shaping it either in terms of initiating the changes, or in how they are reacting and adapting to them. Furthermore, electronics reuse
and recycling have been widely considered two aspects of the same industry despite increasing evidence of bifurcation and competition for material flows. Based on stakeholder response, the ecology of knowledge that exists within this industry suggests that recyclers should shift their business to incorporate more repair and resale in addition to recycling to remain profitable. Case studies involving participant observation, additional semi-structured interviews, and policy comparisons were utilized to serve as representations for the three primary stakeholder groups: electronics recyclers, electronics refurbishers, and government agencies regulating electronics recycling and e-waste disposal. These three
stakeholder groups and their ability to capture electronics at the end of their useful life drive the percentage of discarded electronics which are recycled or reused. The used electronics infrastructure, institutions, and stakeholder networks along with the knowledge generated within make-up an ecology of knowledge which explains how changes in newer consumer electronic devices are antagonistic to recycling systems couched in a slow-to-change scrap industry. Intellectual property laws prevent the repair and reuse of used electronic devices. Finally, inconsistent, patchwork e-waste recycling
laws do not sufficiently capture used electronics at the end of their useful life. These factors have had a significant impact on the larger socio-technical system of end-of-life consumer electronic device management in the United States.
ContributorsNafe, Christopher Micheal (Author) / Wetmore, Jameson (Thesis advisor) / Dooley, Kevin (Thesis advisor) / Richter, Jennifer (Committee member) / Arizona State University (Publisher)
Created2024