Digital Commons Network^™

The Shorthorn: February 18, 1947

The Shorthorn Newspaper Collection: 1940s

No abstract provided.

The Shorthorn: February 11, 1947

The Shorthorn Newspaper Collection: 1940s

No abstract provided.

The Shorthorn: October 29, 1946

The Shorthorn Newspaper Collection: 1940s

No abstract provided.

The Shorthorn: October 15, 1946

The Shorthorn Newspaper Collection: 1940s

No abstract provided.

The Shorthorn: May 15, 1946

The Shorthorn Newspaper Collection: 1940s

No abstract provided.

The Shorthorn: April 17, 1946

The Shorthorn Newspaper Collection: 1940s

No abstract provided.

2025 Acssc Program, Acssc Planning Committee

Annual Celebration for Student Scholarship and Creativity

No abstract provided.

Assessing The Impact Of Media And Information Literacy On Creative Video Content Production, Reem M. Al-Zou’Bi

Journal of Media Literacy Education

This study explores the impact of Media and Information Literacy (MIL) on developing creative video production skills among undergraduate students at Al al-Bayt University, Jordan. The sample consisted of 60 students divided into an experimental group (MIL course) and a control group (Educational Foundations course). Using a quasi-experimental design, students’ video production skills were evaluated using a rubric covering nine key criteria, weighted based on expert input. Results showed that the experimental group significantly outperformed the control group in creative video production, highlighting MIL’s role in enhancing these skills. Notably, both groups emphasized content integrity similarly, while the MIL group …

Assessing Media And Information Literacy: Scale Development And Measurement Among College Students, Erlis Cela, Alban Tufa, Melsena Danglli

Journal of Media Literacy Education

Media and Information Literacy (MIL) is a topic discussed by many authors in recent years. Several authors have developed measurement scales and validated them mainly among students and teachers who have media and information literacy knowledge. Although no evidence is tracked for any research conducted, MIL has been an unexplored field in the Western Balkans region. This article delves into developing and testing a scale for measuring the level of Media and Information Literacy among students in Albania. Firstly, it employs an exploratory qualitative approach, with the use of focus groups, the results of which contributed to the design of …

Effects Of Wikipedia Knowledge, Algorithm Awareness, And Reading Comprehension On Undergraduates’ Preference For And Use Of Lateral Reading Strategies To Evaluate Information, Arshia K. Lodhi, Patricia J. Brooks, C. Donnan Gravelle, Jessica E. Brodsky, Maryam Syed, Donna Scimeca

Journal of Media Literacy Education

Internet users are bombarded with information and need strategies to evaluate its trustworthiness. Expert fact-checkers rely on lateral reading, which involves investigating sources, finding better coverage, and tracing information back to original contexts. This study contrasted college students’ preference for and use of lateral reading to evaluate online content, and examined factors associated with variation in preference and use. Undergraduates (N = 483) often selected lateral reading as the preferred strategy for evaluating content (multiple-choice items) without demonstrating use of lateral reading (open-response tasks). Use of lateral reading was associated with higher Wikipedia knowledge, algorithm awareness, and reading comprehension; …

2025 Great Day Program, State University Of New York At Geneseo

GREAT Day Programs

SUNY Geneseo’s Nineteenth Annual GREAT Day.Geneseo Recognizing Excellence, Achievement & Talent Day is a college-wide symposium celebrating the creative and scholarly endeavors of our students. In addition to recognizing the achievements of our students, the purpose of GREAT Day is to help foster academic excellence, encourage professional development, and build connections within the community.

Fs Agenda 2025-04-23, Northern Illinois University

Faculty Senate Archives

No abstract provided.

Melting Ice, Moving Minds, Andres Cabrero

Montserrat Student Scholarship

Ice Watch is a large-scale public installation by Olafur Eliasson that brings melting glacial ice into busy city spaces to make the effects of climate change both visible and urgent.. Eliasson wants people to physically feel the reality of climate change, not just learn about it. He uses art to turn abstract data into a real, emotional experience. Climate change can feel distant, and even somewhat invisible. By putting giant blocks of ice in public, the project helps people face the problem in a physical, immediate way.

There's A Method To This Physics Madness, Hanna J. Ross

Physics and Astronomy Presentations

Physics tends to be seen by the general public as scary and unattainable, especially for students who are non-STEM majors. However, at Ursinus College (as well as many other institutions) the professors employ the use of specific problem-solving strategy instruction to mitigate these fears and further general problem solving skills. This study reviews previous experiments evaluating the merit of this strategy and analyzes its results as it relates to Physics on Screen, a physics class at Ursinus geared specifically towards non-majors.

Basketball Jump Shot Correction Using Computer Vision, Matthew Moran

Mathematics & Computer Science Student Scholarship

Matthew Moran ’25, Computer Science major

Faculty mentor: Dr. Martin Hellwig, Mathematics and Computer Science

Basketball has evolved significantly over the years, with players continuously striving to improve their shooting accuracy and efficiency. As the game becomes more data-driven, advancements in artificial intelligence and computer vision have provided new methods for analyzing and correcting shooting mechanics that allow players to improve their game. Using deep learning, this research aims to fill a gap in these advancements, which is looking at the position of the shooters fingers relative to the ball. Doing so can improve stability and overall shooting performance.

Designing A Statistical Plan For Measuring Self-Efficacy Using A 2k Factorial Design​, Rachel A. Hart, Eugene H. Thompson

Mathematics, Computer Science & Statistics Presentations

This study focuses on designing a statistical plan that measures the effects of self-efficacy using a 2k factorial design. Specifically, we simulated data on physical, mental, spiritual, and social health, so we could focus on their interaction with self-efficacy. By using ANOVA to see the main and interaction effects, we can see the impact of individual autonomy on health. Our findings show the need for experimental data on the demographic of interest, peri-and post-menopausal women.

Analyzing The Sentiment Of Feminist And Non-Feminist Works, Jasmine Borie, Megan G. Falschlehner

Mathematics, Computer Science & Statistics Presentations

This presentation focuses on a group of texts that advocate for a change in the current belief system. These texts are the Feminist Manifesto, Sojourner Truth: Ain’t I a Woman?, and Civilization and Its Discontents. These first two texts advocate for women’s rights, while Freud’s book is focused on civilization’s decline and how our understanding of community can affect this. Through our presentation, we want to examine the differences in sentiment and language between the feminist texts and Freud’s texts to pinpoint whether or not sentiment changes when advocating for different beliefs.

Analyzing Cie Texts Through History Using R, Rachel A. Hart, Aaron Ditto

Mathematics, Computer Science & Statistics Presentations

In this presentation, we analyzed three separate CIE texts from different time periods. First, “The Allegory of the Cave” from 380 BC, then “The Declaration of Independence” from 1776, and lastly “The Lottery” from 1948. We compared them using tidy text techniques like sentiment lexicons, creating word clouds, and bigram analysis to see if the types of words and sentiments used have changed over time in these short texts.

A Statistical Comparison Of Selected Old Testament And New Testament Books, Branden F. Stahl, Kevin Guan, Adam Denn

Mathematics, Computer Science & Statistics Presentations

The purpose of this project was to discover similarities between sentiments in Old Testament and New Testament books of the Bible, track emotional valence and find the most common words and sentiments in the books. Text analysis was performed on Genesis, Exodus, Matthew and Luke. Word clouds were also created for these texts.

Using Text Mining In R To Explore How Three Cie Related Texts Answer One Of Ursinus College’S Quest Curriculum Questions: “How Should We Live Together?”, Elizabeth Dill

Mathematics, Computer Science & Statistics Presentations

This presentation explores the application of text mining techniques using R programming to analyze literary text. In the process of this project, I performed data cleaning, tokenization, sentiment analysis, and frequency analysis on selected literary works. This study illustrates how R enables the transformation of unstructured textual data into meaningful insights through visualizations and statistical summaries. My presentation highlights both the technical process and the interpretive results, demonstrating how computational methods can be used to explore traditional literary analysis.

A Text Mining And Sentiment Analysis Of Valuable Cie Texts Using R, Eric Sugarman, Ethan Turber-Ortiz, Hannah Quinn

Mathematics, Computer Science & Statistics Presentations

The purpose of this project was to perform a sentiment analysis of three texts used in Ursinus College's Common Intellectual Experience (CIE) course: Between the World and Me by Ta-Nehisi Coates, The New Jim Crow by Michelle Alexander and Discourse on Method by Rene Descartes. Word count and word cloud analysis were also performed on the texts as well as term frequency and bigram analysis.

2025 April 23 - Undergraduate Curriculum Council Minutes, Undergraduate Curriculum Council, East Tennessee State University

Undergraduate Curriculum Council Minutes

No abstract provided.

The Significance Of Symmetry: Exploring T-Numbers And Their Role In Virus Survival And Behavior, Jenna Franco, Taylor Ligozio

Mathematics & Computer Science Student Scholarship

Jenna Franco ’25, Biology major

Taylor Ligozio ’25, Biology major

Faculty mentor: Dr. Su Jeong Kang, Mathematics and Computer Science

We studied the symmetry of different structures in common viruses and their T-numbers. We related these T-numbers with characteristics of the virus. Next we researched how the T-number of each virus was optimal for its survival and reproduction in its environment. We can use this information to infer or predict the behavior of viruses in the future based on their T-numbers.

Building Bridges To Math Success: Exploring Children’S Flexible Attention To Numerical And Spatial Magnitudes, Deja A. Richardson

Honors Theses

The study analyzes how children in early childhood engage with number books and how they influence mathematical abilities such as flexible attention to magnitudes (FAM) and executive functioning. It was hypothesized that the number of books consisting of mathematical language will lead to an increase in math ability. It was also suggested that number books will engage children using mathematical language and real-world settings. 80 participants between the ages of three and five years old recruited from daycare centers and preschools in the Dayton and Bloomington area will complete 6 one-on-one sessions with an experimenter in their school.

The pretest …

Determinants For Green Procurement Practices In Public Procurement Management In Tanzania, Yohana Arsen Rutaba

Business Review

This study was carried out conducted to ascertain the determinants for green procurement practices in public procurement management in Tanzania. The research study employed mixed-methods approach and used descriptive analysis. Multiple linear regression analysis was employed to establish the relationship between the variables. The study used a sample size of 200 participants obtained using Cochran formula of unknown population. The sample size composed of public procurement officers and practitioners from different government agencies and organization in Mainland Tanzania. From descriotive analysis it shows that the level of implementation of green procurement practices is still very low in public procurement. The …

2025 Otterbein University Honors Convocation Program, Otterbein University

Honors Convocation

No abstract provided.

Developing A Hypothetical Learning Trajectory For Loops In Integrated Math-Cs Lessons (Poster 27), Anahita Ashineh, Jody E. Clarke-Midura, Deborah Silvis, Jessica F. Shumway, Joseph S. Kozlowski, Camille M. Lund

Spatial Activities and Robot Coding (SPARC)

https://aera25-aera.ipostersessions.com/Default.aspx?s=37-77-1B-1F-D5-4D-5A-16-54-EC-62-88-D3-40-E9-03

"We Had An Amazing Idea, But Then Someone Already Had It": Norming "Novelty" In Early Childhood Computer Science (Poster 31), Deborah Silvis, Ana Ashineh, Jody Clarke-Midura, Jessica Shumway

Spatial Activities and Robot Coding (SPARC)

https://aera25-aera.ipostersessions.com/Default.aspx?s=BF-36-33-8A-0D-DF-81-2C-B8-C6-4F-C6-21-5F-A2-FC

The College Voice, Vol. 62, No. 9 [April 23, 2025], Connecticut College

2024-2025

No abstract provided.

Gnn Convergence And Accuracy Analysis On Contextual Stochastic Block Models, Trevor Garrity

Theses and Dissertations

Contextual Stochastic Block Models (cSBMs) are simple generative graph models commonly used to benchmark the performance of Graph Neural Networks (GNNs). In this thesis, I prove how inducing symmetries on general, nonlinear GNNs improves their cross entropy on cSBMs, and I derive the limiting accuracy of linear Graph Convolutional Networks (GCNs) on cSBMs. I use these results to derive the functional form of cross-entropy optimal GCNs on cSBMs and compare them to accuracy optimal GCNs.