Architecture

Authors: Richard Ji, Emre Dal, Ayana Srivastava, Beverly Chigarira, Chadi Hage Chehade, Arshit Narang, Georges Gebrael, Neeraj Agarwal, Umang Swami, Haoran Li. Mentors: Neeraj Agarwal. Insitution: University of Utah. Comparative effectiveness of ChatGPT 4.0 and medical oncologists in telemedicine-based management of metastatic prostate carcinoma (mPC).Richard Ji1, Emre Dal1, Ayana Srivastava1, Beverly Chigarira1, Chadi Hage Chehade1, Arshit Narang1, Georges Gebrael1, Neeraj Agarwal1, Umang Swami1, Haoran Li21Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT;2University of Kansas Cancer Center, Westwood, KSBackground: The advent of telemedicine, accentuated during the COVID-19 pandemic, offers a prospective modality, especially when synergized with artificial intelligence (AI) tools such as ChatGPT 4.0. In this investigation, we sought to investigate the proficiency of ChatGPT vs. medical oncologists in the telemedicine-centric management of mPC.Methods: This IRB-approved retrospective study compared the competencies of ChatGPT and oncologists in conducting telemedicine consultations for patients with mPC. Out of 975 patients screened between April 1, 2022, and March 30, 2023, 102 met the inclusion criteria of having a diagnosis of mPC, attending at least one telemedicine consultation during the specified period, and having documentation available for two consecutive visits to enable the analysis of treatment decisions and outcomes. ChatGPT was asked to pre-chart and determine if a face-to-face consultation is needed. Its clinical competence was assessed using miniCEX, and medical decision-making (MDM). The Cohen's kappa test was used to measure the level of agreement between ChatGPT and oncologists in treatment decisions, and the Mann-Whitney U test was used to compare miniCEX and MDM.Results: The majority of patients were White (97.06%), with a median age of 75 years (range:53 to 99). Nearly all patients were diagnosed with adenocarcinoma (96.08%), with a median Gleason score of 7 (range: 6 to 10). The prevalent metastatic sites were bone (47.4%) and lymph nodes (44.16%). 26.88% had an ECOG score of 0, 54.84% had a score of 1, and 18.28% had a score greater than 1. Common coexisting conditions included diabetes mellitus (11.11%), hypertension (29.82%), hyperlipidemia (24.56%), and depression (7.6%). The primary outcome measured the concordance between ChatGPT and oncologists on whether to continue or cease the current treatment There was a statistical significance in sensitivity and specificity between clinicians and ChatGPT (Chi-squared=5.1, p=0.02). Cohen's Kappa showed a moderate concordance (Kappa = 0.43, p<0.001). There was no difference in the number of diagnoses made by the two parties (p=0.13 and 0.06, respectively). ChatGPT's median miniCEX score was 8 (SD=0.59), and its median MDM length was 41 words (SD=6.06). The average time saved by ChatGPT in pre-charting was 41 minutes (SD=6).Conclusions: ChatGPT showed moderate concordance with oncologists for the management of mPC in telemedicine. Subsequent investigations are needed to explore its potential in healthcare.

Authors: Eliza Ballantyne, Maria Lizio, Anshuman Chaturvedi. Mentors: Dustin Shipp. Insitution: Utah Valley University. We evaluate techniques for enhancing performance of Raman based classifiers of lung cancer and compare them to results from immunohistochemistry and hematoxylin and eosin (H&E) staining for fixed samples. In the United States, more patients die from lung cancer than from any other type, although it ranks as the third most common cancer. For patients with lung cancer, preserving the healthy bronchioles where cancer usually forms is vital to continued lung function. Raman spectroscopy is already a valuable asset in distinguishing between healthy tissue and many types of cancer and decreases discrepancies between diagnosis, saving medical resources and improving patient outcome. Lung cancer is especially challenging for Raman spectroscopy, in part because tar fluorescence often overpowers critical chemical features. We introduce measurement and classification approaches as the first step to overcome this challenge and create reliable Raman based classifiers for lung cancer. By working with fixed tissue sections, we avoid tar fluorescence and demonstrate the ability to detect tumors and premalignant abnormalities in lung tissue. These samples allow collaboration between adjacent sections in both H&E staining and immunohistochemistry. Furthermore, additional measurements of fixed sections can be acquired at any time. These advantages provide flexibility to acquire more detailed training sets, include more detail of any borderline cases, and compare Raman spectroscopy to more specialized histopathological techniques.

Authors: Caroline Torgersen, Tyler O'Loughlin, Ellie Evans, Vern Hart, Clint Flinders. Mentors: Vern Hart. Insitution: Utah Valley University. Stage-IV cancers are commonly identified by tumors having metastasized to other parts of the body. However, studies have shown that cancerous tissues often release “seeds” of circulating tumor clusters (CTCs) into the cardiovascular and lymphatic systems long before metastasized sections of the tumor are identifiable. These CTCs can circulate or remain dormant for long periods of time, even after the lesion is excised. In addition, these structures exist on scales that are not currently identifiable using conventional imaging modalities and are only detectable after being isolated. To address this issue, we demonstrate a simple optical diffraction system utilizing visible laser light and a beam profiler to collect speckle images from polystyrene microbeads (mimicking CTCs) flowing through an IV tube (mimicking a vein or artery). These scattering images were used to train a convolutional neural network, which was able to distinguish bead sizes ranging from 30 to 120 microns (comparable to the diameter of CTCs). A Softmax classifier was included with multiple target categories corresponding to different clusters sizes. As blood cells are significantly smaller (5-20 microns), this system could be used to non-invasively identify the presence of larger scatterers in a blood stream in situ, indicating the presence of CTCs, and providing a potential diagnostic biomarker for early-stage cancer.If a oral presentation is not available we would still love to present a poster.

Authors: Chad Hyer, Bradley Bundy, Tyler Free. Mentors: Bradley Bundy. Insitution: Brigham Young University. Current trends in healthcare suggest a movement towards point of care treatment and diagnosis. This transition towards local or even at-home testing necessitates dramatic decreases in costs of diagnostic methods. Cell-free protein synthesis (CFPS) systems prove a potential tool for bringing diagnostic solutions to patients by providing patients with inexpensive, easy to use, and accurate tests that can be stored for long periods of time at ambient temperature. These CFPS diagnostic methods rely on the production of biosensor proteins using isolated molecular machinery from bacterial cell lysates and necessary substrates. When combined with human body fluids, these biosensors can detect the presence of important biomarkers of disease, aiding in diagnosis.CFPS systems, however, can prove difficult to use with human body fluids as CFPS systems rely on mRNA directed production of proteins, and human samples contain significant concentrations of RNAses which inhibit the production of biosensor proteins, preventing proper test results. Traditionally, this issue can be remedied in a CFPS system using commercially sourced RNAse inhibitors, but these inhibitors dramatically increase prices. Here we report on our production of RNAse inhibitors within a CFPS system to decrease costs of CFPS diagnostics by 90%. In our work, we report on the optimization of reaction conditions for producing RNAse inhibitors within a CFPS glutamine biosensor for use as a cancer treatment monitoring diagnostic. Using our methods, we expect to be able to dramatically reduce the cost of CFPS based diagnostic tools, helping empower the shift to affordable point of care healthcare.

Authors: Laureana Lazarte, Adam Hales. Mentors: yu ya liang. Insitution: Utah Valley University. Plant Viruses pose a serious threat to the agricultural industry worldwide, infecting members of the brassica genus, including cabbage, broccoli, and cauliflower. This particular virus is transmitted via the cabbage aphid, which poses a serious problem, as these are extremely common in croplands worldwide (Clafin et al., 2017). The motivation of this project is to expose a variety of Brassica species to a novel DNA virus, which is a putative geminivirus and has recently been discovered in Utah. Then, plants that show signs of disease resistance after being infected with the virus will be identified. Following infection, genetic information from all Brassica species will be obtained and then analyzed to identify possible sources that promote disease resistance. A diverse array of mustard seeds will also be requested from the USDA National Plant Germplasm System. The methods of this study will involve growing a wide variety of plants within the Brassica genus for six to eight weeks in a greenhouse setting, and exposing them to the virus. The plants will then be analyzed on the basis of severity of infection via visible observations using a zero through ten scale that will be developed. DNA from the plants will be extracted and the genomes will then be sequenced. Combining the genome information and disease susceptibility, a Genome-Wide Association Study (GWAS) will be used to look for possible genetic information that could promote disease resistance. The outcomes of this study may also be used for disease resistance breeding.

Authors: Peter Seely, Joseph Henderson, Benjamin Webb. Mentors: Benjamin Webb. Insitution: Brigham Young University. A longstanding result in spectral graph theory is that some of the eigenvalues of a network can be obtained by identifying equitable partitions within the graph's structure. We have discovered that the remaining eigenvalues can be recovered using theoretical constructs which we call Local Equitable Partitions (LEPs). We have developed a procedure to find LEPs in a way that allows us to efficiently compute a graph's spectrum using this theory. Our procedure finds LEPs by identifying patterns in the coarsest equitable partition of a graph. We utilize these LEPs in a novel algorithm for computing the spectrum of a graph. Under certain mild assumptions on the equitable partition, we can find eigenvalues of a graph faster using this method when compared to the standard method. This is potentially useful as many real-world data sets have nontrivial equitable partitions.

Authors: Benjamin D Kearsley, Jacob H Norby, Micah R Shepherd, R Ryley Parrish. Mentors: Micah R Shepherd. Insitution: Brigham Young University. Status epilepticus (SE) is a seizure which lasts more than five minutes and requires time sensitive treatment to prevent brain damage and even death. Thus, it is crucial to understand and predict the brain signal patterns preempting SE. Previous research into seizure monitoring techniques in humans suggests that seizure occurrence follows non-random patterns, and that big data and machine learning may be key in discovering detection and prediction models for SE events. This provides a promising foundation for our investigation into a prediction algorithm for SE using data-driven methods.Using a state-of-the-art Multiple Electrode Array (MEA) recording device, high-resolution signals have been recorded that demonstrate the voltage that occurs within mice brain cells during SE. In this study, voltage traces from these brain cells are being examined to identify predictors and indicators of SE events in the brain. Signal processing techniques, such as digital filtering, spectral analysis via spectrograms, and wavelet transforms, are being investigated to analyze these signals and compare them to brain signals exhibiting normal activity. Statistical methods surrounding the first through fourth moments, as well as clustering algorithms may also be used to classify and study the signals.

Authors: Joseph Henderson, Peter Seely, Benjamin Webb. Insitution: Brigham Young University. A classical result in spectral graph theory states that if a graph has an equitable partition then the eigenvalues of the associated divisor graph are a subset of the original graph’s eigenvalues. A natural question is whether it is possible to recover the remaining eigenvalues of the graph using this method of creating divisor graphs. We show that any weighted undirected graph can be decomposed into a number of subgraphs each with a nontrivial equitable partition whose collective spectra contain the remaining eigenvalues. We call these constructs Local Equitable Partitions (LEPs). We have developed an algorithm that leverages this result to compute LEPs and calculate the remaining eigenvalues of the original graph from them. This is potentially useful as many real-world data sets have a nontrivial equitable partition. To show the potential performance advantage of our algorithm over traditional methods, we present an ideal graph for which our algorithm performs optimally. Using a speed test, we demonstrate the improved temporal complexity of our method on the ideal graph.

Authors: Daniel Barrera. Mentors: Anna Beaudin. Insitution: University of Utah. Tissue-resident macrophages play critical roles in tissue homeostasis and immunity, and many of them have a distinct fetal origin and developmental trajectory as compared to their adult bone marrow-derived counterparts. However, the specific mechanisms underlying their developmental signaling pathways have not been as thoroughly examined as in the adult. Our lab recently demonstrated that fetal-derived macrophage development is regulated by expression of the lymphoid-associated interleukin-7 receptor (IL-7R) in mice, but the fetal source of the cognate cytokine ligand, interleukin-7 (IL-7), has yet to be determined. This project investigated fetal macrophage cells as a potential source of IL-7 production, with the aim of providing further insight into these signaling pathways during prenatal development. A transgenic mouse model was used that expresses IL-7 attached to green fluorescent protein (GFP) in order to measure GFP expression as a proxy for IL-7 expression in developing tissues. Embryonic tissues were extracted from mouse fetuses at 17.5 days post-conception and cells were isolated and stained with antibodies to identify blood, endothelial, and stromal cells as putative sources of IL-7 production. Samples were also intracellularly stained for GFP in order to quantify the IL-7 production across different cell types within different tissues in the embryo. The resulting data preliminarily identifies fetal macrophages as the primary producers of IL-7 across common tissues in the developing embryo. A better understanding of the developmental signaling pathways that regulate fetal immune development can expand comprehension of the origins of early immune dysfunction and help mitigate disease susceptibility from early life.

Authors: Aullora Fekete. Mentors: Karen Jensen. Insitution: Brigham Young University. Implementation of culturally relevant teaching in universities and public schools has increased, but private studios, outnumbering both higher education and public school dance programs, are not keeping pace. Business owners are caught between competing demands making it difficult to invest in professional development programs for their instructors(Risner 2010). This perpetuates implicit bias teaching as instructors fall back on how they were taught in studios based in eurocentered evaluation and ideals furthering the divide for who has accessibility to dance and which dance forms are taught.The following research addresses possible ways private studios can have more access to and receive training for more culturally relevant teaching. Conversation explores how studio vision and clientele demands can be taken into account to create a more inclusive dance culture and the types of training resources already offered along with how they might be implemented. By having an inclusive approach, studio dancers also continue the culturally relevant teaching they received as future dance educators to contribute to a greater dance culture of uplifting and including the marginalized. Citation:Doug Risner Ph.D. M. F. A. (2010) Dance Education Matters: Rebuilding Postsecondary DanceEducation for Twenty-First Century Relevance and Resonance, Journal of Dance Education, 10:4, 95-110, DOI:10.1080/15290824.2010.529761

Authors: Joseph Stahle. Mentors: Jeb Branin. Insitution: Southern Utah University. Asian theatre has been a significantly ever-present force for millenniums from countries such as China, Japan, Thailand, and more. However, as modernization and globalization have come to the forefront, we have seen a decline in traditional theatrical practices. This begs the question of why these shows have seen a decline, and it also brings up the potential need for more positive representation in contemporary performance studies. This project seeks to view the historical context of Asian theatre from Noh and Peking opera to modern shows like “Miss Saigon”, “The King and I”, and “The Mikado”. Additionally, it explores the lack of Asiatic representation in our modern theatrical society. Through traditional research methods, further understanding will be gained about Asian theatrical practices such as Noh, Kabuki, Peking opera, and shadow puppetry. Most importantly the use of critical approaches such as cultural studies, feminist criticism, and historical criticism, will reveal the lack of non-stereotypical representation of Asians within modern theatre. A key portion of the research will be conducted through personal interviews with Asian Studies and Asian Theatre professors. Leo Shingchi Yip, an associate professor of Japanese studies at the University of Gettysburg, spoke about the misrepresentation of Chinese people during medieval Japan. Yip states, “The portrayals of the Chinese characters featured in these [Noh] ‘Chinese plays’ do not necessarily remain faithful to their Chinese origins. Attuning to the audience’s tastes, expectations, and knowledge was a key factor in shaping [Noh] into an artistic institution, which in turn determined the making and staging of ‘Chinese plays’ in medieval Japan.” This quote discusses how ancient Japan would adapt to the audience’s wants and wishes within their Noh performances. In present times, we do the same thing on Broadway and in local productions to best please our target demographic. If this selective representation was present during medieval Japan, then what is the expected outcome of change over time?In most cases, if something is not termed as insensitive then it likely does not change. When looking at Broadway today, a vast majority of Asian interpretation falls under stereotypes and a minority of the cast’s proportions. Additionally, the presentation of women within the theatre is severely lacking; also, most modern Asiatic heroines fall under the depressive, suicidal, and manipulative Asian women stereotype. The key goal of this presentation is to reveal the inequality and lack of positive Asian depictions in contemporary theatrics. The audience will learn about Asian historical productions as previously mentioned. This presentation forces them to look at their own biases and face the lack of representation within their own local communities as well. The audience’s understanding will blossom and see the harmful portrayals of Asians and seek to create a new hopeful future for all who want to participate in theatre. This hope provides equality for all regardless of skin color, body size, and gender identity.

Authors: Luke Beckstrand. Mentors: Tyler Gardner. Insitution: Brigham Young University. (47 word abstract)With their diverse range of writing-related needs and goals, multilingual students in a university writing classroom can benefit from consistent, one-on-one support from a trained peer tutor. In this presentation, I share my experiences as an embedded peer tutor in a first-year composition class for multilingual writers.(214 word abstract)There has been a recent explosion of research surrounding writing centers' relationships with the many multilingual students they serve. This research has led to the development of new resources for multilingual writers within the writing center context, including longitudinal peer-tutoring, that have yielded significant and positive results. However, much less research has taken place surrounding multilingual writers’ experiences within a composition classroom. Throughout a semester embedded as a tutor inside of two first-year multilingual composition courses, I was able to gather research and test possible applications of longitudinal peer-tutoring inside the classroom. Multilingual students need, and desperately want, writing help in all contexts. Many multilingual students flock to writing centers, who are more than happy to help, but the majority of multilingual students’ experiences with university writing continue to take place solely within the classroom. There are also many multilingual students who don’t have access to writing centers, and others that do, but don’t have sufficient time to dedicate to visiting it frequently. My research indicates that a single peer-tutor embedded within the classroom can overcome many of these obstacles and give these students the help that they desire through a similar longitudinal peer-tutoring relationship that has been achieved at some writing centers.Keywords: Writing Center, Multilingual Tutoring, Longitudinal Peer-tutoring, Classroom Applications, One-off Sessions,

Authors: Lincoln Whitney. Mentors: Jordan Watkins. Insitution: Brigham Young University. This paper delves into the profound theophanic encounter presented in Ether 3 of the Book of Mormon, offering a comprehensive analysis of this divine revelation. Through a rigorous examination of the Hebrew Bible, I draw parallels between Ether 3 and the theophany in Exodus 3, shedding light on the striking similarities and divergences between the two narratives. The study employs a multidisciplinary approach, blending textual analysis, historical context, and theological interpretation, to provide a nuanced understanding of these encounters.One of the central arguments put forth in this paper is the proposition of a phenomenological reading of Book of Mormon Christology, particularly as it relates to the theophany in Ether 3. By employing a phenomenological framework, I aim to uncover the lived experiences of those involved in these divine encounters, emphasizing the significance of human subjectivity in the interpretation of such transcendent events. This approach not only enriches our understanding of the theological content in the Book of Mormon but also invites a more profound engagement with the text and its implications for contemporary religious thought.The paper concludes by highlighting the enduring relevance of theophanies in scriptural narratives and underscores the significance of adopting a phenomenological lens when studying religious texts. By examining the theophanies in Ether 3 and Exodus 3 through this unique perspective, I hope to contribute to a deeper appreciation of divine encounters and the development of Christology within the Book of Mormon tradition.

Authors: Brandon Ascione. Mentors: Katie Paxman. Insitution: Brigham Young University. T 1.4.1 contains what appears to be a skeptical regressive argument that ultimately leads to a complete loss of belief. Yet, Hume claims that neither he nor anyone else is compelled by this argument because like breathing, it is the nature of humans to form beliefs. Thus, it becomes challenging to understand why anyone would engage in such a skeptical thought process from the start. Drawing on Peter Millican’s critique of this iterating skepticism and Donald Ainslie’s interpretive work on T 1.4.1, it becomes clear that there is disagreement over what Hume’s intended purposes for T 1.4.1 might be. This paper argues that T 1.4.1 is an account of the psychology of a particular kind of skeptical disposition. Hume’s work on the passions can account and explain the psychology of the skeptic with this skeptical disposition. By taking a more holistic analysis of passages from Books 1 and 2 of the Treatise and citing Margaret Watkins’ conception of delicacy of passion, a compelling case is made that Hume’s own skeptical crisis from T 1.4.7 was motivated by such a skeptical disposition that was driven by the passion of fear.

Authors: Gaby Sutton Clark, Emily Santillán, Katreena Merrill. Mentors: Katreena Merrill. Insitution: Brigham Young University. Background: In the United States, an estimated 1 in 36 children has autism spectrum disorder (ASD). While public knowledge of people with ASD has been increasing, many areas of society still need to improve to accommodate people with ASD. People with ASD have high healthcare utilization rates but often experience challenges receiving adequate care, leading to gaps in patient care, increased emergency room visits, and hospital admissions. Adjustments to primary care for patients with ASD are essential to decreasing these concerning trends. Thus, ambulatory care providers have a key role in these improvements. This project will, therefore, focus on improving the self-efficacy of ambulatory care nurse practitioners in the state of Utah in caring for patients with ASD. The purpose of this project is to develop an evidence-based educational video on how to identify and make accommodations to facilitate the care of patients with ASD and evaluate the effectiveness of the video.Methods: The project team includes graduate student Emily Santillan, faculty chair Dr. Katreena Merrill, committee members Dr. Terisa Gabrielson and Dr. Petr Ruda, and undergraduate student Gabby Sutton. The team consulted together and developed an evidence-based script for an educational video. Based on the script and working with the team, the video will be produced by BYU Media Services. Once the video is produced, the team will embed it into a Qualtrics survey that includes pre- and post-intervention surveys. The pre-survey will include basic demographic questions and the “AASPIRE Adult Autism Provider Self-Efficacy Scale” to measure provider self-efficacy in caring for patients with Autism. The post-survey will include the same self-efficacy scale to measure any changes, as well as feedback questions on the video itself. The results and feedback will be used in a future project to disseminate the video further.Results: This project is still in process, and no results have been obtained.Implications for Nursing: Nurses in every specialty will encounter Autistic patients. Being familiar with strategies to improve their nurse-patient interactions will help nurses deliver excellent care to potentially vulnerable patients.Conclusion: While the project has not been completed, we plan on using the results to improve the educational video and pursue more widespread implementation.

Authors: Eden Backman, Britt Wyatt, Kandace Flanary, Jessica Cusick, T Heath Ogden, Joshua Premo. Mentors: Joshua Premo. Insitution: Utah Valley University. Utah Valley University serves a unique student population where ~70% of students are Latter-Day Saints (LDS) and ~30% are non-traditional (over the age of 24) (UVU IR, 2023). Compared to the overall 1.6% of LDS individuals in the United States (Pew Research Center, 2023), the identities of UVU students are vastly underrepresented in education research that has been conducted at other institutions. This is especially important as the LDS religion has been related to one of the most conservative religious groups concerning gender roles (Heaton, Bahr, and Jacobson 2004). Additionally, recent preliminary analysis of public institutional data from Utah universities indicates that UVU is graduating more men than women in biology, drastically contrasting other Utah university and national trends. In Utah, the STEM workforce has seen a significant 20% increase since 2016 (UWLP, 2022). However, it's important to note that during this period of expansion, men have disproportionately reaped the benefits in terms of STEM career opportunities. According to IWPR (2019), men in Utah are 2.5 times more likely to secure a STEM career compared to women. Furthermore, in 2020, STEM careers in Utah boasted median annual wages that were over twice as high as those in other occupations, which has direct implications for individuals' lifetime earnings and social capital. Given this information, we questioned why women were not choosing educational paths that will promote a career in STEM? If they are choosing STEM majors, then what are the factors that promote women to leave STEM during their undergraduate careers? This research project focuses on trying to answer these questions specifically at Utah Valley University (UVU). UVU’s biology program reflects similar patterns that are seen in the STEM workforce in Utah. UVU’s biology program was graduating twice as many men compared to women during the most recent academic year (2022-23)(UVU IR). This was the lowest percentage of women earning a four-year biology degree when compared to all other Utah institutions (USHE, 2023). The following research questions were addressed to help inform our understanding of why inequities in degree attainment by gender are being seen at UVU: 1) Are women less accepting of biological ideas (evolution, vaccines, climate change, etc.) that may be impacting women’s pursuits of biology? 2) Are there differences in how women are relating to science (motivation, immersion, or integration) that may be impacting their pursuit of biology? 3) Are there differences in political orientation or religious affiliation that may be impacting women’s pursuits of biology? To answer these questions, we collected data from 1,455 students (22% were biology majors) enrolled in biology classes at UVU in Fall 2023. Comparisons were made using independent samples t-test (with Bonferroni adjustments) to see the extent to which factors varied between men and women both within and outside of the biology major. In contrast to expectations, results for research question #1 show that women biology majors did not agree with science less than men. In fact, women strongly agreed with several science ideas at a higher rate than did men. These ideas included environmental concern and climate change (women = 66% vs. Men = 41%) and vaccination (women = 63% vs. Men = 48%). This result suggests that differences in acceptance of science ideas may not be driving the differences in degree attainment in biology. If anything, these results suggest that women should be more likely to continue in the biology major compared to men. In addition, when students’ immersion (sense of belonging and science identity) in science was assessed by gender women were slightly higher than men with about 8% more strongly agreeing to being immersed in science. This finding suggested that women are not experiencing lower immersion as a potential factor impacting degree attainment. Further examination of additional factors is underway. This study highlights that there are specific factors that may be contributing to gender disparities in biology bachelor's degree attainment at UVU. We recommend specific interventions targeting areas of differences in the biology program to provide additional scaffolds and supports to promote more equitable career trajectory and lifetime earnings for women pursuing Biology at UVU.

Authors: Grant Hendrickson, Christian Moody, Nellie Bowman, Nick Jeffery, Cairo Ziebarth, Joel Davis, Melissa Reeves, Heather Wilson Ashworth. Mentors: Heather Wilson Ashworth. Insitution: Utah Valley University. Self-competence and effort belief may impact student motivation and success in introductory chemistry courses. Self-competence is the need to feel efficacious and capable3. Effort belief is the concept that working harder at a task produces better results4. Mastery-Based Grading (MBG), a nonconventional grading method, provides multiple opportunities for students to show mastery of the course learning objectives5. This research examines the effect of Mastery-Based Grading (MBG) in an active learning classroom on student's self-competence and effort belief compared to that of a conventional grading (CG) approach in a traditional lecture-based classroom. Hypothesis: MBG leads to increased student self-competence and effort belief compared to CG courses. Self-determination1 and expectancy-value theories2 provide the context for understanding the self-competence and effort belief data. At a private midwestern college, general chemistry students in an active learning, MBG course (53 students) and a lecture course (48 students) with a conventional grading policy were studied using a mixed methods approach. Surveys containing Likert and reflection questions were given during week 3 and 14 of the semester. A coding scheme was developed, and reflection questions were coded to consensus. Coded data had a Pearsons coefficient greater than 0.76. Results: Notably, students with initially low self-competency Likert scores showed significant improvement (p=0.01) in the MBG-active course, but not in the conventional course. No significant improvement was observed in students' effort-belief scores as the scores were high at the beginning and stayed high at the end of the semester. In response to the reflection question, “Do you believe you have the ability to be successful in this course?”, there was a 15.35 percent increase in responses that reflected effort-belief in the MBG active learning course. This theme was absent in CG courses throughout the semester. It is noteworthy that MBG students recognized (14.29% compared to pre-reflections) the specific components of the course structure that helped students succeed. This early explorative data suggests that students in active learning MBG courses may experience an increase in self-competence and perceived effort belief compared to their counterparts in traditional classes. 1Deci, E. L., Vallerand, R.J., Pelletier, L.G. & Ryan, R.M. (1991). Motivation and education: The self-determination perspective. Educational Psychologist, 26, 325-346. 2Eccles (Parsons), J. (1983). Expectancies, values, and academic behavior. in J.T. Spence (Ed.) Achievement and Achievement Motivation. San Francisco: W.H. Freeman. 3Ferrell, Brent and Jack Barbera. (2017). Analysis of students’ self-efficacy, interest, and effort beliefs in chemistry. Chemistry Education Research and Practice, 16; 31-337. 4Skinner, E., Saxton, E., Currie, C., & Shusterman, G. (2017). A motivational account of the undergraduate experience in science: brief measures of students’ self-system appraisals, engagement in coursework, and identity as a scientist. International Journal of Science Education, 39(17), 2433-2459. 5Toledo, S., & Dubas, J. M. (2017). A learner-centered grading method focused on reaching proficiency with course learning outcomes. Journal of Chemical Education, 94(8), 1043-1050.

Authors: Sophia Kramer, Violeta Vasilevska. Mentors: Violeta Vasilevska. Insitution: Utah Valley University. Preliminary literature review showed that studies have been conducted following either elementary or middle/high school students’ after-school math programs. However, this preliminary lit review did not provide any relevant comparison of the data collected from these students’ groups. In this study, we will conduct two after-school meetings with elementary and high school students in the spring semester. During the meetings, students will be working collaboratively on hands-on, discovery math activities. This hands-on learning experience will be adjusted for different grade levels. Both student groups will be given a pre-survey consisting of attitude questions. They will assess perceptions about learning that occurs in after-school (out-of-classroom) learning environments that encourage mathematical thinking and collaboration. At the end of each after-school meeting, students will be given a post-survey (that will contain some questions matching the pre-survey ones). The collected survey data will be compared to examine the different responses resulting from the two different age groups, maturity levels, gender, etc. Survey results will be used to obtain observations about the effect of such after-school programs on student attitude toward math.In this presentation, we present the preliminary data collected during the first after school meeting held at the beginning of the spring semester and provide a comparison of the collected data. Additional meetings and surveys will be conducted later in the semester.