Digital Commons Network^™

Benefits Of The Modern Classroom Project In High School Mathematics, Micah Josiah Smith

Theses and Dissertations--Education Sciences

Previous research has shown that mathematical self-efficacy is positively correlated with mathematical achievement. However, in a high school classroom setting, teachers’ effectiveness varies based on experience, education, and how they incorporate certain pedagogical practices. The Modern Classroom Project was designed to have teachers integrate self-paced learning, mastery-based learning, metacognition, and blended instructions all within one classroom; with an emphasis placed on allowing students the opportunity to understand a particular skill before attempting the next skill. Discovering what components of the Modern Classroom Project enhances student’s self-efficacy score, and mathematical achievement was the focus of the study.

This explanatory sequential mixed-methods …

Development Of The Elementary Teachers’ Commitment To Outdoor Education Survey: A Mixed Methods Study, Sagan Goodpaster

Theses and Dissertations--Education Sciences

As the Green Schoolyards Movement continues to grow throughout North America, outdoor education (OE) is gaining more attention in the formal K-12 curriculum (Dyment, 2005; Sterrett & Imig, 2015). Rooted in the pedagogies of place-based and experiential learning, outdoor instruction provides social, psychological, physical, and academic benefits for students, and fosters their sense of connection to the natural environment (Dubel & Sobel, 2008; Robertson, 2017). In particular, outdoor learning opportunities have been shown to promote greater gains in students’ scientific content knowledge (Carrier et al., 2014; Cronin-Jones, 2000; Dirks & Orvis, 2005; Kenney et al., 2003). Outdoor instruction involves students …

Investigating Discussion Forum Impact On Students’ Social Justice Beliefs In Online Undergraduate Mathematics Courses: A Mixed Methods Study, Ashlee Lynn Akin Matney

Theses and Dissertations--Education Sciences

While teaching math for social justice and equity has become a heavily researched topic in recent decades with Jo Boaler (2008, 2015, 2016), Rochelle Gutiérrez (2009, 2013), and Eric (Rico) Gutstein (2003, 2006, 2007, 2013) emerging as recent leaders in the charge, the focus has consistently remained on traditional classroom teaching (e.g. Boaler, 2008; Gutiérrez, 2009; Gutstein, 2003). This convergent design mixed methods study investigated the impact of teaching math for social justice in the online learning environment, specifically, the impact of discussion forums on students’ social justice beliefs in fully online undergraduate math courses.

Quantitatively, 56 students completed pre- …

Collaborative Learning In An Asynchronous Online Introductory Statistics Course, Marla Lemmon

Theses and Dissertations--Education Sciences

Collaborative learning has been shown to improve student learning and performance; however, the influence of collaboration has not yet been examined in the context of an online introductory statistics course. Often the influence of collaborative learning is measured using only one outcome variable, typically course achievement. This study will contribute a more thorough examination of the influence collaboration has on student learning by operationalizing the learning construct with the use of multiple measures: academic performance, perceived learning, and growth in statistical knowledge. In addition, this study will provide a model for incorporating collaborative learning in an asynchronous online course.

Validation Of An Early Childhood Emotional And Social Competence Instrument Using A Rasch Partial Credit Model, Nan Li

Theses and Dissertations--Education Sciences

The release of the Every Student Succeeds Act (ESSA) started a new chapter of education in the United States. The ESSA emphasizes the importance of preschool education; the act states that more resources will be devoted to preschool education, which lays the foundation for children’s school learning process. The goal of the act is to make sure children enter kindergarten education with equal preparatory. School, family, and researchers are paying more attention to developing preschool children’s social and emotional competency before entering Kindergarten. For understanding preschool children’s social and emotional skill development situation, instrument is the mostly widely adopted method …

Knitting Code: Examining The Relationship Between Knitting And Computational Thinking Skills Using The Nexus Of Practice, Emily Rose Dodson-Snowden

Theses and Dissertations--Education Sciences

Due to the rise of careers in STEM-related fields, there is a growing need for schools to produce people to fill these positions. One area of STEM that is growing is computer science/coding. Due to this demand, schools need to be intentional about exposing students to computer science/coding. There are a variety of new tools to introduce students to this field. One growing belief is that knitting can teach computer science/coding to students.

The goal of this study was to see if knitting can serve as an introduction to teach students computation skills. Kitting has historically been used to code …

An Investigation Into The Relationship Between Teacher Grit, Technology Self-Efficacy, And Technology Integration, Joshua Jeremiah Shiloh Marsh

Theses and Dissertations--Education Sciences

The use of educational technology applications has grown tremendously in the last decade. Instructors are now equipped with hardware and software applications previously unavailable, such as mobile and interactive technologies. These tools can have tremendous impact on students’ learning and teacher practices. Teachers can improve their assessment capabilities through technology integration, provide better learning opportunities for students with learning disabilities, and promote deeper learning practices. Due to these benefits, budgets at the federal, state, and local levels of the United States now have specific allocations regarding technology-related purchases. Nevertheless, barriers remain regarding the effective integration of technologies in public schools. …

Retention Of First-Generation College Students At A Four-Year Regional Public Institution, Matthew Andrew Schumacher

Theses and Dissertations--Educational Policy Studies and Evaluation

Every year a significant number of college students stop out of college and fail to persist and complete their degree. First-generation college students are more likely to exit college without a degree than continuing-generation students. The purpose of this quantitative, archival, nonexperimental study was to explore how first-generation college student demographic, academic background, college academic, and student engagement factors were related to and predict first-year to second-year retention at a mid-sized, public regional university. The factors explored were gender, age, race/ethnicity, income status, high school GPA, ACT, cumulative GPA, first term attempted hours, housing, participation in a Living Learning Community, …

Elementary Preservice Teachers Self-Efficacy And Confidence Teaching Engineering, Andrea Perrin

Theses and Dissertations--Science, Technology, Engineering, and Mathematics (STEM) Education

Engineering has become a popular topic within science standards in recent years. However, many teachers do not have experience teaching or doing engineering. With the possibility of engineering becoming a major part of the science curriculum, it is important that teachers are prepared and well equipped to teach and instruct engineering activities, lessons, and support. This quantitative study studied elementary preservice teachers’ self-efficacy and confidence with teaching engineering in the classroom after experiencing and teaching engineering activities. Overall, the implementation of the engineering activities had both positive and negative impacts on preservice teachers’ perceptions of themselves and teaching engineering in …

A Survey Of Elementary Educators' Self-Efficacy Related To Stem Education, Elizabeth Mckenzie Johnson

Theses and Dissertations--Science, Technology, Engineering, and Mathematics (STEM) Education

While the call for STEM and engineering design has increased since the release of the Next Generation Science Standards, the implementation of STEM in elementary grades has been slow. A variety of factors play a role in why educators, schools, or districts make the informed decisions they do regarding curriculum and instruction. Identifying strengths and challenges elementary educators face in implementing STEM into the curriculum can guide schools and districts in creating supports for increasing STEM in the elementary grades. This study sought to create and test a survey instrument for use with elementary educators in a large urban district …

Equivalence Of The Transition Heat Capacities Of Proteins And Dna, Matthew W. Eskew, Albert S. Benight

Chemistry Faculty Publications and Presentations

It has been reported for many globular proteins that the native heat capacity at 25°C, per gram, is the same. This has been interpreted to indicate that heat capacity is a fundamental property of native proteins that provides important information on molecular structure and stability. Heat capacities for both proteins and DNA has been suggested to be related to universal effects of hydration/solvation on native structures. Here we report on results from thermal denaturation analysis of two well-known proteins, human serum albumin and lysozyme, and a short DNA hairpin. The transition heat capacities at the Tm for the three molecules …

Compound Flooding In Convergent Estuaries: Insights From An Analytical Model, Ramin Familkhalili, Stefan A. Talke, David A. Jay

Civil and Environmental Engineering Faculty Publications and Presentations

We investigate here the effects of geometric properties (channel depth and cross-sectional convergence length), storm surge characteristics, friction, and river flow on the spatial and temporal variability of compound flooding along an idealized, meso-tidal coastal-plain estuary. An analytical model is developed that includes exponentially convergent geometry, tidal forcing, constant river flow, and a representation of storm surge as a combination of two sinusoidal waves. Nonlinear bed friction is treated using Chebyshev polynomials and trigonometric functions, and a multisegment approach is used to increase accuracy. Model results show that river discharge increases the damping of surge amplitudes in an estuary, while …

Single-Cell Systems Neuroscience: A Growing Frontier In Mental Illness, Sean O'Sullivan

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

The development of effective treatments for psychiatric disease has been disappointing in recent decades given the advancements in neuroscience. Moreover, rising rates of mental illness such as addiction and depression compel scientists and physicians to discover novel and creative solutions. One such approach that has proven effective is systems neuroscience: A focus on networks as opposed to mechanism. Further, investigation at the single-cell and circuit level is likely to be fruitful in such endeavors as this resolution describes the functional psychopathology that allows for intervention.

Glacial Deposits, Vol. 47, 2022, Department Of Geography, Geology, And The Environment

Glacial Deposits

Newsletter of the Department of Geography, Geology, and the Environment

Benchmarking Compositionality With Formal Languages, Josef Valvoda, Naomi Saphra, Jonathan Rawski, Adina Williams, Ryan Cotterell

Faculty Research, Scholarly, and Creative Activity

Recombining known primitive concepts into larger novel combinations is a quintessentially human cognitive capability. Whether large neural models in NLP can acquire this ability while learning from data is an open question. In this paper, we investigate this problem from the perspective of formal languages. We use deterministic finite-state transducers to make an unbounded number of datasets with controllable properties governing compositionality. By randomly sampling over many transducers, we explore which of their properties contribute to learnability of a compositional relation by a neural network. We find that the models either learn the relations completely or not at all. The …

Review Of Daniel Farber, Inequality And Regulation: Designing Rules To Address Race, Poverty, And Environmental Law, David A. Weisbach

Coase-Sandor Institute for Law & Economics Research Paper Series

Dan Farber’s wide-ranging article, Inequality and Regulation, makes two core arguments. First, Farber argues that using a uniform value of statistical life (VSL) in cost-benefit analysis is justified not only as a pragmatic compromise but also as a matter of first principles. In particular, he argues that a uniform VSL can be based on a theory of equality that he calls harm egalitarianism, which holds that individuals have equal entitlements to protection against harm. Second, Farber, looking for ways to address environmental justice concerns through regulations, argues that “a heightened focus on differences in exposure and vulnerability [in the cost-benefit …

The Role Of Experts In Policymaking: An Assessment Of Witness Educational Backgrounds In Congressional Testimony, Benedicte Adair

Theses

This thesis provides a first-of-its kind benchmark on the extent to which academically-trained professionals in the United States are availed of opportunities to directly deliver evidence to the United States Congress, as well as how contemporary party politics shapes this system. We randomly sample and manually code the educational backgrounds of 2,147 witnesses from 32 Congressional Committee Hearings that occurred between 2001 and 2020. This study reveals three key findings. The first is that academically-trained professionals have extensive access to the halls of Congress. Second, that all types of degrees have at least some representation amongst witness calls. The third …

Dean's Research Newsletter, January 2022, Jerry L. Nadler

SOM Dean's Research Newsletter

No abstract provided.

A Content Analysis Based Review On The Application Of Document Similarity Measures On E-Resource Retrieval In Agriculture And Allied Fields, Nitumika Gogoi, Uma Kanjilal

Library Philosophy and Practice (e-journal)

From observations made by Robson (1993) who states that “the success of data collection should be assessed in relation to the specific research question”, it is felt necessary to study the aim as well as the fact that the most suitable unit of analysis will be sufficiently large to be considered as a whole but small enough to be referred as a relevant meaning unit during the analysis process (Graneheim & Lundman, 2004). Based on these criteria, the researcher tries to investigate that the study is carried out in the right direction which rest upon the credibility and essentiality of …

Systematic Approach To Recruiting And Retention Of Instrumental Students In Division One University Marching Band, Michael G. Yopp

Doctoral Dissertations and Projects

This study examines recruitment and retention in Division One (D1) university marching bands, while understanding high school and university directors’ perspectives and impact on student choice. This project surveyed university band directors, seeking commonalities for recruiting and retention of instrumental students. Based on the results, universities will have better strategies on what, how, and why recruitment and retention issues should be addressed. Student enrollment is important to the well-being, development, and continuity of marching band programs. They may result in better recruitment and retention for other university ensembles, applied studios, the music department, and the university enrollment overall. This study …

The Impact Of Extracurricular Activities And Attendance On Student Achievement At A Mississippi Community College, Amanda Hyde Marbury

Doctoral Dissertations and Projects

The purpose of this quantitative study was to determine the impact of extracurricular activities and class attendance on student achievement in science courses at a Mississippi community college. Public colleges are dependent on state funding for survival, with one main criterion for determining that funding being the number of students enrolled. Students need to be successful in courses to keep up the retention and enrollment rates. Student success is potentially linked to class attendance and student involvement in extracurricular activities. Schools need to look at factors that might be affecting students’ performance in the classroom such as participation in extracurricular …

Superior Status: Relational Obstacles In Law To Racial Justice And Lgbtq Equality, Osamudia James

Faculty Publications

Animus and discrimination are the two legal lenses through which in-equality is typically assessed and understood. Insufficient attention, however, is paid to the role of status in animating inequality, even in landmark cases thought to be equality-promoting. More than an animating force between intractable po-litical conflicts, status also informs the development of equality law in the United States. When courts, advocates, and policymakers affirm, ignore, miss, or con-cede to status hierarchies instead of dismantling them, those groups that perceive a decrease in their status relative to others will only use “equality-promoting” doctrine to rebalance status hierarchy in their favor. Public …

A Computationally Efficient Framework For Vector Representation Of Persistence Diagrams, Kit C. Chan, Umar Islambekov, Alexey Luchinsky, Rebecca Sanders

Mathematical and Statistical Science Faculty Research and Publications

In Topological Data Analysis, a common way of quantifying the shape of data is to use a persistence diagram (PD). PDs are multisets of points in R² computed using tools of algebraic topology. However, this multi-set structure limits the utility of PDs in applications. Therefore, in recent years efforts have been directed towards extracting informative and efficient summaries from PDs to broaden the scope of their use for machine learning tasks. We propose a computationally efficient framework to convert a PD into a vector in Rⁿ, called a vectorized persistence block (VPB). We show that our representation …

Optimizing Model Observer Performance In Learning-Based Ct Reconstruction, Gregory Ongie, Emil Y. Sidky, Ingrid S. Reiser, Xiaochuan Pan

Mathematical and Statistical Science Faculty Research and Publications

Deep neural networks used for reconstructing sparse-view CT data are typically trained by minimizing a pixel- wise mean-squared error or similar loss function over a set of training images. However, networks trained with such losses are prone to wipe out small, low-contrast features that are critical for screening and diagnosis. To remedy this issue, we introduce a novel training loss inspired by the model observer framework to enhance the detectability of weak signals in the reconstructions. We evaluate our approach on the reconstruction of synthetic sparse-view breast CT data, and demonstrate an improvement in signal detectability with the proposed loss.

Minimum Dataset And Metadata Guidelines For Soil-Test Correlation And Calibration Research, Nathan A. Slaton, Sarah E. Lyons, Deanna L. Osmond, Sylvie M. Brouder, Steve W. Culman, Gerson L. Drescher, Luciano C. Gatiboni, John Hoben, Peter J.A. Kleinman, Joshua M. Mcgrath, Robert O. Miller, Austin Pearce, Amy L. Shober, John T. Spargo, Jeff J. Volenec

Crop, Soil and Environmental Sciences Faculty Publications and Presentations

Soil-test correlation and calibration data are essential to modern agriculture, and their continued relevance is underscored by the expansion of precision farming and the persistence of sustainable soil management priorities. In support of transparent, science-based fertilizer recommendations, we seek to establish a core set of required and recommended information for soil-test P and K correlation and calibration studies, a minimum dataset, building on previous research. The Fertilizer Recommendation Support Tool (FRST) project team and collaborators are developing a national database that will support a soil-test-based nutrient management decision aid tool. The FRST team includes over 80 scientists from 37 land-grant …

Temporal Stability Of Seagrass Extent, Leaf Area, And Carbon Storage In St. Joseph Bay, Florida: A Semi-Automated Remote Sensing Analysis, Marie Cindy Lebrasse, Blake A. Schaeffer, Megan M. Coffer, Peter J. Whitman, Richard C. Zimmerman, Victoria J. Hill, Kazi A. Islam, Jiang Li, Christopher L. Osburn

OES Faculty Publications

Seagrasses are globally recognized for their contribution to blue carbon sequestration. However, accurate quantification of their carbon storage capacity remains uncertain due, in part, to an incomplete inventory of global seagrass extent and assessment of its temporal variability. Furthermore, seagrasses are undergoing significant decline globally, which highlights the urgent need to develop change detection techniques applicable to both the scale of loss and the spatial complexity of coastal environments. This study applied a deep learning algorithm to a 30-year time series of Landsat 5 through 8 imagery to quantify seagrass extent, leaf area index (LAI), and belowground organic carbon (BGC) …

Imaging Technologies Build Capacity And Accessibility In Phytoplankton Species Identification Expertise For Research And Monitoring: Lessons Learned During The Covid-19 Pandemic, Sophie Clayton, Leah Gibala-Smith, Kathryn Mogatas, Chanel Flores-Vargas, Kayla Marciniak, Maci Wigginton, Margaret R. Mulholland

OES Faculty Publications

As primary producers, phytoplankton play an integral role in global biogeochemical cycles through their production of oxygen and fixation of carbon. They also provide significant ecosystem services, by supporting secondary production and fisheries. Phytoplankton biomass and diversity have been identified by the Global Ocean Observing System (GOOS) as Essential Ocean Variables (EOVs), properties that need to be monitored to better understand and predict the ocean system. Phytoplankton identification and enumeration relies on the skills and expertise of highly trained taxonomic analysts. The training of new taxonomic analysts is intensive and requires months to years of supervised training before an analyst …

Bulletin: General Catalog Issue 2022-2023, Portland State University

Bulletin & Curriculum Change Documents

No abstract provided.

Surveilling Potential Uses And Abuses Of Artificial Intelligence In Correctional Spaces, Justin Iverson

Scholarly Works

In section II, this paper will begin with an analysis of the development of AI, noting famous examples and establishing a baseline definition as a lens for the rest of this discussion. This paper will assess aspects of AI and machine learning to the extent it furthers our understanding of AI’s ability to collect data and make decisions. Some popular culture references will be brought into focus here to recognize storytelling’s ability to inspire and influence real-world scientific pursuits. Of preliminary importance, the AI we have both dreamed of and feared are certainly kept in mind as technology advances through …

Regulatory Constitutional Law: Protecting Immigrant Free Speech Without Relying On The First Amendment, Michael Kagan

Scholarly Works

No abstract provided.