Physical Sciences and Mathematics Commons^™

Outpatient Fall Prevention In Ambulatory Adults 65 Years Old And Over, Dorothy L. Osborne-White

Doctor of Nursing Practice (DNP) Scholarly Projects - Archive

Background: In the United States (U.S.), falls are the leading cause of injury among adults 65 and over, resulting in 36 million falls yearly (Moreland et al., 2020). According to the Centers for Disease Control and Prevention (CDC, 2023), one in four older adults experiences a fall each year. Falls are the world's second most prominent cause of accidental deaths (World Health Organization [WHO], 2021). Falls are the leading cause of both fatal and non-fatal injuries among older adults (Moreland et al., 2020).

Methods: A quality improvement project that included a fall bundle was implemented in a primary clinic. A …

The Promise And Pitfalls Of Genai In Education, Helen Crompton

STEMPS Faculty Publications

Since ChatGPT was made available to the public, artificial intelligence (AI) has had accelerated growth in the field of education at an unprecedented rate. This study examined the misuses and limitations of ChatGPT and similar generative AI as well as the affordances of these tools for teaching and learning. Using PRISMA protocol, this thematic systematic review examined extant literature from November 2022 to June 2024. The findings reveal five misuses and limitations trends in the literature of cheating, inaccuracies, plagiarism, bias, and data privacy. Affordances highlighted six areas of content creation, personalization, engagement, student coaching and assistance, assessment, and task …

Climate And Cognitive Performance: Examining The Relationship Between Extreme Temperatures And Students’ Academic Achievement In The United States, Sophia Kestell

CMC Senior Theses

This study explores how exposure to high temperatures throughout the school year affects students' academic performance in the United States, focusing on third- and eighth-graders and economically disadvantaged students. This paper uses math and reading assessment data for students from the Standard Education Data Archive (SEDA) and temperature data from the PRISM Climate Group at Oregon State. Using a fixed-effects ordinary least squares (OLS) regression model specification, this analysis investigates the relationship between temperature threshold and academic achievement in 333 US counties from 2010 through 2019. Additionally, county air conditioning coverage data are used to explore the relationship between temperatures …

Assessing The Impact Of Chatbot-Human Personality Congruence On User Behavior: A Chatbot-Based Advising System Case, Mohammad Amin Kuhail, Mohamed Bahja, Ons Al-Shamaileh, Justin Thomas, Amina Alkazemi, Joao Negreiros

All Works

Chatbot personality has been demonstrated to influence user behavior, such as trust and intended engagement. However, previous research on chatbot-user personality congruence’s influence on user behavior is scant despite its significance in human-human conversations. This study explores the effect of chatbot-human personality trait congruence on user behavior in the context of a chatbot-based advising system. In this study, 54 college students interacted with chatbots with three different personalities (extraversion, agreeableness, and conscientiousness) and rated their trust, usage intention, and intended engagement with the chatbots. Additionally, 18 participants were interviewed to gain further insights into their perceptions and evaluations of the …

"Ai's Pompous Vocabulary Sounds Like It's Trying To Impress Someone": Preservice Teachers' Respond To Ai Reviews Of Their Writing, Jennifer Kidd, Keri Parker, Samantha Myers

Teaching & Learning Faculty Publications

This study examines pre-service teachers’ (PSTs’) responses to using AI to review their writing. As part of a class activity, PSTs prompted an AI-chatbot for feedback and revisions on a short essay based on a provided assignment rubric. Afterward, they reflected on the pros and cons of using AI in this way. While some PSTs initially encountered functionality issues, all were able to obtain feedback and the majority reported finding it useful. In general, the PSTs appreciated AI’s speed and expertise and the potential to customize feedback based on their needs. However, many were skeptical of AI’s evaluation of their …

An Exploration Of Misconceptions In Introductory Physics, Christopher Mattthew Wheatley

Graduate Theses, Dissertations, and Problem Reports (ETD)

The study of student misconceptions about physics concepts has long been an important area of inquiry in physics education research (PER). The research discussed in this dissertation builds upon the developments in PER by exploring the prevalence of consistently held undergraduate student misconceptions in introductory calculus-based physics. This thesis explores the nature of student misconceptions, mistakes, and naive answering patterns in both introductory undergraduate Newtonian mechanics and electromagnetism by applying a network analytic technique called module analysis to student responses to different concept inventories from institutions of various levels of incoming physics preparation. Each study applying these methods also demonstrates …

Conflict Profiles And Team Outcomes In Cross-Disciplinary Teams: An Integrated Latent Profile Analysis And Natural Language Processing Approach, Francisco Cima, Pilar Pazos

Engineering Management & Systems Engineering Faculty Publications

Team conflict is a naturally emerging phenomenon resulting from individuals' interactions during project execution. Cross-disciplinary teams can experience higher levels of conflict than single-discipline teams because of the increased diversity of knowledge and perspectives. Research has shown that team conflict can emerge from different types of disagreements (cognitive and interpersonal), which have different implications for team functioning. Past empirical research has focused on the impact of both conflict types independent from each other while overlooking their combined effects. This work examines the conflict profiles resulting from the combined levels of interpersonal and cognitive disagreements and their association with team outcomes. …

Conceptthread: Visualizing Threaded Concepts In Mooc Videos, Zhiguang Zhou, Li Ye, Lihong Cai, Lei Wang, Yigang Wang, Yongheng Wang, Wei Chen, Yong Wang

Research Collection School Of Computing and Information Systems

Massive Open Online Courses (MOOCs) platforms are becoming increasingly popular in recent years. Online learners need to watch the whole course video on MOOC platforms to learn the underlying new knowledge, which is often tedious and time-consuming due to the lack of a quick overview of the covered knowledge and their structures. In this paper, we propose ConceptThread , a visual analytics approach to effectively show the concepts and the relations among them to facilitate effective online learning. Specifically, given that the majority of MOOC videos contain slides, we first leverage video processing and speech analysis techniques, including shot recognition, …

Preparing Healthcare Education For An Ai-Augmented Future, Jiajie Zhang, Susan H Fenton

Faculty, Staff and Student Publications

Artificial intelligence (AI) fundamentally transforms healthcare education as a knowledge enterprise, creating a distributed cognitive system composed of the human brain, which remains relatively unchanged, and AI-based knowledge and cognitive functions, which have accelerated exponentially in scale and power. Education must focus on developing skills to collaborate with AI and on achieving outcomes like problems solved and discoveries made. Curriculum and education policies also need to adapt to this transformation.

Relative Comparison Of Modern Computing To Computer Technology Of Ages, Iwasan D. Kejawa Dr., Hailly Rubio Ms.

School of Computing: Faculty Publications

Abstract

Abstract

Are there differences and similarities between the computer technology of today and yesterdays. Research had shown that there had been tremendous improvements from the computers of ages (traditional Computers) as we enter the 21st century. Both the physicality and the functionalities of computers have changed but some remain the same. The memory capacity and functions have changed, but all are still based on the old concepts of yesteryears.

Land Education And Young People Working Toward Salamander: Collective Well-Being In Response To Bioindicators Of Socioenvironmental Justice, Rachael Arens, Ricardo Martinez

Democracy & Education

Our planet is facing many environmental challenges, including climate change, loss of biodiversity and habitat, and pollution, while many of our populations are also experiencing marginalization due to poverty, race, gender, language, ability, and environmental injustices. Environmental hazards and policies often impact those in society who are most at-risk, creating a need for an environmental education (EE) movement that encourages students to challenge and regain control of a system that impacts them. Teachers can implement a reflection tool known as the SALAMANDER Collective Well-Being in Response to Bioindicators of Socioenvironmental Justice Framework to prompt students and other educators to place …

Docker Technology For Small Scenario-Based Excercises In Cybersecurity, Zeinab Ahmed

Theses and Dissertations

This study aims to better prepare students for cybersecurity roles by providing practical tools that bridge the gap between theory and real-world applications. We investigate the role of small scenario-based exercises for students’ understanding of cybersecurity concepts. In particular, we assess the use of Docker technology to deliver training that includes a simple small scenario on html code injection. The effectiveness of scenario-based learning has long been defined and by using SBL, we are going to create hands-on activity that involves the fundamental topics in cybersecurity using Docker technology, allowing students to see the exploitation of the vulnerabilities and defense …

Deep Learning For Studying Materials Stability And Solving Thermodynamically Consistent Pdes With Dynamic Boundary Conditions In Arbitrary Domains, Chunyan Li

Theses and Dissertations

Deep learning has achieved remarkable success in various fields, including image processing, natural language processing, and signal processing, ushering in a transformative era in research and real-life applications. This rise underscores the transformative capabilities of deep learning, with its innovative approach to function approximation. Traditionally, approximation theory relied on additive constructions, but deep neural networks have introduced a compositional approach, reshaping the landscape of function approximation. This thesis explores the efficacy of this compositional construction within the realm of material science and the solution of thermodynamically consistent partial differential equations with thermodynamically consistent dynamic boundary conditions in arbitrary domains. As …

Investigation, Synthesis And Rational Design Of Novel Transuranic Containing Extended Structures, Adrian Thomas Hines

Theses and Dissertations

The use of nuclear technology has proven useful for energy generation and for weapons manufacturing, but disposal and storage of nuclear waste is an ongoing problem. The accumulation of nuclear waste over the past decades has yielded a vast amount of waste that must be dealt with, and with space at interim storage facilities diminishing, it has become increasingly important to find solutions to nuclear waste storage. The vitrification process has been widely accepted as a viable route for immobilization of high-level waste; however, the process is inadequate for complex waste streams and has many drawbacks such as limited waste …

Exploring Students’ Epistemological Understanding Of Atomic Structure Models, Claire V. Ward, Morgan Balabanoff

The Cardinal Edge

Developing a robust understanding of atomic structure and the nature of matter is foundational across chemistry and STEM courses. The development of this concept is challenging because it relies on models to illustrate something not directly observable. Scientific models are important tools used to explain phenomena, particularly phenomena that are not directly observable. In general chemistry, students are typically asked to consider four different models: (1) the particle model, (2) the nuclear model, (3) the Bohr model, and (4) the Quantum model. Each depiction has its own advantages and limitations, where instructors introduce each model to explain specific parts of …

Exploring Retrieval Difficulties And Self-Confidence In An Assessment Of General Chemistry Students, Karen Julian, Morgan Balabanoff

The Cardinal Edge

Developing self-assessment skills is an important aspect of learning. Framed by assessment developed for the year-long sequence of general chemistry, students were asked to rate their ability to answer conceptual questions. Using cognitive interviews, this study revealed that people rely on a range of characteristics other than content knowledge to assess their confidence, including doubt, retrieval difficulty, and test-taking methods. These findings imply that more explicit instruction may be required to encourage correct self-assessment. Students can develop their metacognitive skills and calibrate their perceived ability by completing examinations meant to emphasize content knowledge gaps.

The Value Of Stem As An Educational Tool For Enhancing Cognitive Development, Leaders 20/20, Alessandra Olmedo Robles

San Diego Regional Climate Collaborative

STEM is an acronym for Science, Technology, Engineering, and Math. The focus of STEM education is to provide a holistic approach through hands-on, problem-based learning where students are able to take what they learn in the classroom and apply it to real world problems.

Perceptions And Barriers To Adopting Artificial Intelligence In K-12 Education: A Survey Of Educators In Fifty States, Karen Woodruff, James Hutson, Kathryn Arnone

Faculty Scholarship

Artificial Intelligence (AI) is making significant strides in the field of education, offering new opportunities for personalized learning and access to education for a more diverse population. Despite this potential, the adoption of AI in K-12 education is limited, and educators’ express hesitancy towards its integration due to perceived technological barriers and misconceptions. The purpose of this study is to examine the perceptions of K-12 educators in all 50 states of the USA towards AI, policies, training, and resources related to technology and AI, their comfort with technology, willingness to adopt new technologies for classroom instruction, and needs assessment for …

Identifying Student Challenges In Organic Chemistry: Supporting Student Understanding Through Eye-Tracking, Think-Aloud Interviews And Alternative Questions, Lisa Ann Smith

Theses and Dissertations

Think-aloud interviews are a strategy used to identify misconceptions held by students. We incorporated think-aloud interviews and studied representational competence of novice and expert participants with identifying alkyl halides with multiple representations. We hypothesized that the participants would approach representations differently and think-aloud interviews would reveal misconceptions. Eye-tracking results showed that novice and expert participants differ in their approaches to representations and that novice participants spend more time on representations. Think-aloud interviews revealed that novice participants contain misconceptions on alkyl halide identification. This research provided insights on student understanding in identifying alkyl halides and representations, allowing instructors to use student …

A University Course On Management Intensive Grazing, D. L. Zartman

IGC Proceedings (1977-2023)

Education of new talent in good grassland management is important. Farmer-oriented extension- and outreach- programs do this, but USA university curricula rarely include it. Some livestock production courses contain a segment on grazing management, but there seem to be no credit-bearing, formal courses in USA universities except in the Ohio State University (OSU). Our course teaches management of intensive grazing (MIG) for three credit hours in a quarter system. It has been a popular elective course for the past 6 years. Every year that they have entered, OSU students have won all prizes in the 18-22 age division in the …

Forages For Horses, J. C. Fisher, D. H. Samples, R. A. Sherman

IGC Proceedings (1977-2023)

According to the 1997 Census of Agriculture, Ohio had 11,668 horse farms. An OSU survey estimated nearly 250,000 horses in Ohio. The large number of horses in the state has prompted many questions from producers to Extension personnel on the topic of improving forage resources. While many horse producers are proficient at equine management, they have not had formal training in forage production and management. Often, traditional agronomic programs don't target this audience. Many horse producers do not have the land mass, and/or experience to utilise large mechanical equipment for renovation and management

Task Force Development To Provide Education And Leadership To The Meat Goat Industry, Jeffrey C. Fisher, L. A. Nye, D. A. Mangione

IGC Proceedings (1977-2023)

Chevon is the most frequently consumed meat in the world. Meat goat production is increasing because of the economic value of goats as efficient converters of low-quality forages into quality meat, milk, and hide products for specialty markets of health conscious, ethnic, and faith based consumers. Estimates of national marketing indicate that U.S. meat goat production is nearly 500,000 head less than demand. Where resources are limited, meat goats can be raised efficiently and profitably on small farms, so the country could become self-sufficient in meat goats.

Mathematics And Society: Towards Critical Mathematics Research And Education, Tian An Wong, Carrie Diaz Eaton, Rachel Roca, Nancy Rodriguez

Journal of Humanistic Mathematics

No abstract provided.

Integrating Climate And Wildfire Education In The Classroom: Development And Implementation Of K-12 Place-Based Wildfire Educational Modules, Danielle Marquette

Boise State University Theses and Dissertations

In the United States, even though most parents would like their children to be educated about climate change, and most teachers support including climate change in K-12 curriculum, many schools fail to educate students about the causes, consequences, solutions, and personal connections to climate change. Teaching anthropogenic climate change through the local context is one of the most effective methods of teaching climate change. In Idaho the lengthening fire season and the increasing occurrence of larger, more severe fires is a tangible impact of climate change. Yet students from Idaho and other high wildfire risk states in the western United …

Optimizing Random Forest Algorithm To Classify Player's Memorisation Via In-Game Data, Akmal Vrisna Alzuhdi, Harits Ar Rosyid, Mohammad Yasser Chuttur, Shah Nazir

Knowledge Engineering and Data Science

Assessment of a player's knowledge in game education has been around for some time. Traditional evaluation in and around a gaming session may disrupt the players' immersion. This research uses an optimized Random Forest to construct a non-invasive prediction of a game education player's Memorization via in-game data. Firstly, we obtained the dataset from a 3-month survey to record in-game data of 50 players who play 4-15 game stages of the Chem Fight (a test case game). Next, we generated three variants of datasets via the preprocessing stages: resampling method (SMOTE), normalization (min-max), and a combination of resampling and normalization. …

Rethinking Education In The Age Of Ai: The Importance Of Developing Durable Skills In The Industry 4.0, James Hutson, Jason Ceballos

Faculty Scholarship

This article discusses the pressing need to integrate artificial intelligence (AI) into education to facilitate customizable, individualized, and on-demand learning pathways. At the same time, while AI has the potential to expand the learner base and improve learning outcomes, the development of NACE Competencies and durable skills – communication, critical thinking, creativity, leadership, adaptability, and emotional intelligence - must be purposefully integrated in curriculum design now more than ever. Recent studies have shown that AI-driven learning pathways can achieve outcomes more quickly, but this comes at the cost of the development of durable skills. Therefore, traditional student-to-student and student-to-teacher interactions …

Barriers And Self-Efficacy: A Large-Scale Study On The Impact Of Oss Courses On Student Perceptions, Larissa Salerno, Simone De França Tonhão, Igor Steinmacher, Christoph Treude

Research Collection School Of Computing and Information Systems

Open source software (OSS) development offers a unique opportunity for students in Software Engineering to experience and participate in large-scale software development, however, the impact of such courses on students’ self-efficacy and the challenges faced by students are not well understood. This paper aims to address this gap by analyzing data from multiple instances of OSS development courses at universities in different countries and reporting on how students’ self-efficacy changed as a result of taking the course, as well as the barriers and challenges faced by students

Generative Ai And Chatgpt Impact On Technostress Of Teachers, Xuenan Huo, Keng Siau

Research Collection School Of Computing and Information Systems

Generative AI, such as ChatGPT, is a disruptive technology with significant impacts on education. While it has the potential to transform the delivery and accessibility of education, it can also undermine educational effectiveness by facilitating academic honesty and creating technostress for educators. This study aims to (i) evaluate the extent to which Generative AI, such as ChatGPT, brings technostress to teachers and (ii) how Generative AI changes teachers' professional identities and the technostress that results from such changes. We hypothesize that techno-eustress and techno-distress are determined by three types of self-discrepancies concerning professional identity construction: actual-ought, actual-ideal, and ought-ideal discrepancies. …

Integrating Data Science With Reliability Engineering: A Study Of Crucial Knowledge And Skills, Altricia Jordan

Theses and Dissertations

Data science, as a discipline can be used in any area. However, in order to utilize data science techniques, data scientist must be taught domain knowledge, referred to as a partner discipline, in the area with which the techniques are to be utilized. Using a quantitative analysis of publicly available information and survey methodology, this research developed recommendations for training data scientist in the partner discipline of reliability engineering. A text analysis was performed on reliability engineering job requisitions resulting in a set of knowledge and skills topics that organizations desire in reliability engineering hires. Using the results of the …

Nature Nurturers Sustainability And Journalism Club, Bruce Baker, Shelby Rickert

Honors Program: Expanded Learning Clubs

Afterschool club that teaches basic sustainability and journalism knowledge to kids in a fun, hands-on, and engaging way. Kids will learn over the course of several weeks and then make posters about their environmental interests.