Digital Commons Network^™

Investigations Of Conjugate Heat Transfer And Fluid Flow In Partitioned Porous Cavity Using Darcy-Forchheimer Model: Finite Element-Based Computations, Nasir Yasin, Shafee Ahmad, Muhammad Umair, Zahir Shah, Narcisa Vrinceanu, Ghadah Alhawael

Mathematics & Statistics Faculty Publications

The conjugate heat transfer and fluid flow has vast applications in thermal engineering, particularly for cooling in thermal devices, and automobile engines. This study investigates conjugate heat transfer in 2D enclosures, featuring thin solid fins attached to a porous bottom wall. The porous medium is considered isotropic and homogeneous by the Darcy-Forchheimer model, with fluid phases in local thermal equilibrium. The boundary conditions at the porous fluid interface ensure continuity of the velocities, stresses, temperature, and heat flux. The phenomenon is mathematically modelled by obtaining a set of partial differential equations. The finite element method (FEM) is used to perform …

Cyberattacks On Port Infrastructures: A Decade Of Trends, Incidents, And Mitigation Strategies (2011-2024), Minodora Badea, Olga Bucovetchi, Adrian V. Gheorghe, Gabriel Raicu

Engineering Management & Systems Engineering Faculty Publications

Port infrastructures are critical to global trade, handling over 80% of the world's cargo by volume. However, their increasing reliance on digital technologies has exposed them to a wide range of cyber threats. This paper provides a comprehensive analysis of cyberattacks targeting port infrastructures from 2011 to the present. We examine the types of attacks, geographical distribution, notable incidents, and underlying vulnerabilities. Additionally, we discuss mitigation strategies and future directions for enhancing cybersecurity in the maritime sector. Our findings highlight the urgent need for robust regulatory frameworks, advanced technological solutions, and collaborative efforts to safeguard critical port operations.

Differences In Motivation For Biology Learning: A Measurement Invariance Testing And Latent Mean Comparison Approach, Ting Dai, Kuan Xing, Avi Kaplan, Jennifer G. Cromley, Kyle R. Mara, Tony Perez

STEMPS Faculty Publications

Educational and psychological research often involves comparing motivation across groups. It is critical to ensure that observed differences in motivation are true variations by group, not due to measurement biases. With a diverse sample of undergraduate students (N = 2200), this study measured internal consistency and gathered validity evidence based on the internal structure of five motivation scales. To compare motivation for biology between groups of undergraduate students, this study tested for measurement scalar invariance by group and, accordingly, conducted latent factor mean comparisons to understand true group differences. On average, female students held lower expectancy beliefs and self-efficacy …

Socially Shared Regulation Of Learning And Artificial Intelligence: Opportunities To Support Socially Shared Regulation, Jinhee Kim, Rita Detrick, Seongryeong Yu, Yukyeong Song, Linda Bol, Na Li

STEMPS Faculty Publications

Supporting learners in achieving high-level socially shared regulation of learning (SSRL) in the online collaborative learning (OCL) context presents challenges that the utilization of artificial intelligence (AI) technologies may help solve. However, the effective uses of AI to support multifaceted areas (cognition, metacognition, and motivation) and phases (forethought, performance, and reflection) of SSRL remain elusive. Furthermore, research on developing an educational AI and what pedagogical attributes and elements are required for AI to support students' SSRL effectively is limited. This study, therefore, aims to investigate students' perceptions of AI applications in enhancing SSRL and to explore the essential pedagogical elements …

The Integration Of Artificial Intelligence And Ontologies: Transformations In Knowledge Representation And Application, Grazia Serratore, Julaine Clunis

STEMPS Faculty Publications

Artificial Intelligence (AI) is reshaping the landscape of knowledge representation. There is an increasingly strong bidirectional relationship, between AI techniques and ontologies. AI techniques revolutionized traditional, manual ontology development and contribute to automated ontology construction, while ontologies enhance the performance of AI systems and their semantic accuracy. Through a comprehensive review of current literature, this paper aims to examine: i) how Machine Learning (ML) techniques contribute to the automated construction, refinement, and validation of ontologies; ii) the most widely used and effective ML approaches for ontology construction; iii) how domain-specific requirements influence the selection and adaptation of AI techniques for …

Bridging The Gap: The Role Of Parent-Teacher Perception In Child Developmental Outcomes, Mckayla Jensen, Mikaela J. Dufur, Jonathan A. Jarvis, Shana L. Pribesh

STEMPS Faculty Publications

Background/Objectives: Time spent with parents and educators encompasses a large portion of a child’s waking hours, with the home and early childhood education and care serving as two of the first settings in which children develop social and cognitive abilities. While previous studies have used social and cognitive tests to examine antecedents of child behavior, we extend such studies to take into account the congruence and incongruence of parents’ and teachers’ views on those antecedents. We examine the importance of parent-teacher alignment on the perceptions of a child’s personality and abilities in early development. Methods: Parents and teachers of 2968 …

Editorial: Ai's Impact On Higher Education: Transforming Research, Teaching, And Learning, Alyse Jordan, Ashley L. Dockens, Natalia Anastasia Pierson, Xinyue Ren

STEMPS Faculty Publications

[Introduction] This Research Topic provides a comprehensive examination of how artificial intelligence (AI) is transforming higher education. The collected studies reveal several interconnected themes that illuminate both the opportunities and challenges of AI integration in academic settings. This editorial summarizes these themes and articulates their significance for the future of higher education.

Integrating Satellite-Based Precipitation Analysis: A Case Study In Norfolk, Virginia, Imiya M. Chathuranika, Dalya Ismael

Engineering Technology Faculty Publications

In many developing cities, the scarcity of adequate observed precipitation stations, due to constraints such as limited space, urban growth, and maintenance challenges, compromises data reliability. This study explores the use of satellite-based precipitation products (SbPPs) as a solution to supplement missing data over the long term, thereby enabling more accurate environmental analysis and decision-making. Specifically, the effectiveness of SbPPs in Norfolk, Virginia, is assessed by comparing them with observed precipitation data from Norfolk International Airport (NIA) using common bias adjustment methods. The study applies three different methods to correct biases caused by sensor limitations and calibration discrepancies and then …

A Comprehensive Academic And Industrial Survey Of Blockchain Technology For The Energy Sector Using Fuzzy Einstein Decision-Making, Umit Cali, Annabelle Lee, Barry Hayes, Claudio Lima, D. Jonathan Sebastian-Cardenas, David Flynn, Emre Kantar, Farrokh Rahimi, Kaung Si Thu, Marco Pasetti, Marthe Fogstad Dynge, Merlinda Andoni, Muhammet Deveci, Murat Kuzlu, Raquel Alanso, Kim-Kwang Raymond Choo, Sambeet Mishra, Shammya Shananda Saha, Sonam Norbu, Srinikhil Gourisetti, Ugur Halden, Vahid Hosseinezhad, Valentin Robu

Engineering Technology Faculty Publications

The global energy sector is undergoing a significant transformation driven by decarbonization and digitalization, leading to the emergence of Distributed Ledger Technology (DLT) — particularly blockchain — as a promising tool for enhancing transparency, security, and efficiency in modern power systems. This study aims to provide a comprehensive academic and industrial survey of blockchain applications in the energy sector and develop a robust decision-making framework to identify and prioritize the most promising real-world use cases based on multidisciplinary criteria. A three-stage methodology was adopted: (i) a literature and market review encompassing over 300 academic publications and commercial blockchain initiatives in …

Integrating Sustainable Practices Into Lean Engineering: Applying The Engineering For One Planet Framework In Manufacturing Engineering Technology Education, Dalya Ismael, Vukica M. Jovanovic, Murat Kuzlu, Charles Lowe, Lisa Bosman

Engineering Technology Faculty Publications

A growing number of manufacturers are recognizing significant financial and environmental benefits from adopting sustainable business practices. Sustainable manufacturing refers to the production of goods through processes that are economically sound, minimize environmental impact, and conserve energy and natural resources. Lean engineering, a comprehensive approach to decision-making and leadership within manufacturing organizations, has proven effective in driving sustainable practices. Key strategies include waste elimination, value identification, value stream mapping, flow creation, pull system establishment, and continuous improvement. Both lean manufacturing and sustainability share a common focus on minimizing waste. Lean principles address seven types of waste: transport, inventory, motion, waiting, …

Using Quanser Platform To Introduce Engineering Technology Students To Autonomous Vehicles, Otilia Popescu, Logan Beaver, Murat Kuzlu, Krishnanand Kaipa

Engineering Technology Faculty Publications

The area of autonomous vehicles is not new, but the latest advances in various technologies gave it a new boost in the last decade and it keeps growing in interest. However, undergraduate curricula rarely include courses specific to this area, which is considered mostly an interdisciplinary graduate field. While various programs introduce students to the background needed to understand and approach the field, specific work on autonomous vehicle projects is left for extra curriculum activities or student clubs, and eventually for senior (capstone) projects. This paper presents the work of a team of electrical engineering technology students on an autonomous …

5g-Enabled Iot Gateway For Educational Purposes, Murat Kuzlu

Engineering Technology Faculty Publications

The project aims to develop and implement a 5G-IoT gateway for efficient management and interconnection of IoT devices through advanced sensing and communication technologies. Sensing technologies encompass modern approaches for detecting and measuring physical properties with high accuracy across manufacturing, smart grids, healthcare, smart cities, and other domains. Communication technologies represent the latest developments in high-speed data transmission, offering enhanced reliability and network capacity. This 5G-IoT gateway functions as an educational platform, providing students and educators with hands-on experience in emerging technologies. The system creates opportunities for practical learning and research in telecommunication technologies by enabling direct engagement with 5G …

Advancing Sustainability In Civil Engineering Technology Through The Engineering For One Planet Framework, Dalya Ismael, Vukica M. Jovanovic, Murat Kuzlu, Charles Lowe, Lisa Bosman

Engineering Technology Faculty Publications

As global environmental challenges intensify, integrating sustainability into engineering technology education is increasingly critical. Yet, many programs lack comprehensive methods to embed sustainability principles, leaving graduates underprepared to address real-world environmental issues. Courses on sustainability often approach it in isolated or superficial contexts, unable to capture its complexity. The purpose of this study is to showcase one approach for embedding the Engineering for One Planet (EOP) framework into the Sustainable Building Practices course within the Civil Engineering Technology Department. The newly developed curriculum integrated learning outcomes from three EOP topics: Environmental Impact Assessment, Materials Selection, and Systems Thinking. Students were …

Flipped Classroom Techniques In A Thermodynamics Course In Engineering Technology, Nathan Luetke, Orlando Ayala, Vukica Jovanovic

Engineering Technology Faculty Publications

Teaching undergraduate thermodynamics presents numerous challenges to educators due to its inherently complex and abstract nature. The vast array of applications in engineering requires educators to strike a balance between theoretical principles and practical examples, thereby creating a meaningful and applicable learning experience. This paper presents an approach to teaching an undergraduate thermodynamics course in engineering technology developed over four consecutive semesters blending traditional lecture-based teaching with flipped classroom techniques. The teaching methods used, and modifications made each semester are presented along with student performance.

Differential Equations' Coverage In Circuits And Heat Transfer Courses In An Engineering Technology Curricula, Otilia Popescu, Orlando Ayala

Engineering Technology Faculty Publications

Differential equations are at the core of any undergraduate engineering as well as of science programs. While a course in differential equations is required by any engineering degree, it is not a requirement for engineering technology programs, which usually require mathematics up to calculus I. This paper discusses the undergraduate engineering technology curricula, focusing on how differential equations are taught to engineering technology students and how they are covered in the programs. In particular, the paper will discuss the treatment of differential equations in electrical circuits and heat transfer courses.

A Modern Optimization Approach With Data-Driven Analytical Modeling For The Healthcare Business Segment (Hbs) From The S&P 500, Aditya Chakraborty, Chris Tsokos

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Introduction: The S&P consists of eleven business segments, which are classified according to the type of industry. The current study focuses on developing a non-linear analytical model for the Healthcare Business Segment (HBS) of the S&P 500, as a function of different economic & financial indicators. Materials and Methods: The analytical model used six financial indicators together with four economic indicators to predict the weekly average closing price (WCP) of HBS stocks. Johnson’s SB transformation corrected skewness, while desirability-based optimization identified indicator values maximizing WCP. The model’s performance and generalizability were validated through repeated 10-fold cross-validation. Results: All attributable contributors …

Representation In Engineering-Focused Children's Literature: A Critical Content Analysis, Angela Eckhoff

Teaching & Learning Faculty Publications

Children’s picturebooks have long been understood as a powerful medium for exploring aspects of children’s lives, experiences, and identities serving as mirrors which allow children to see themselves reflected, as windows through which they can gain insight into the experiences of others, and as sliding glass doors when children are connected to the story and characters in meaningful ways. Utilizing a critical content analytic approach, this research examined the identity markers and engineering practices found in contemporary children’s picturebooks with an engineering focus. The analysis yielded key themes that highlight the ways children can interact and connect to the characters …

Perceptions Of Stem Education And Artificial Intelligence: A Twitter (X) Sentiment Analysis, Demetrice Smith-Mutegi, Yoseph Mamo, Jinhee Kim, Helen Crompton, Matthew Mcconnell

Teaching & Learning Faculty Publications

Background, context, and purpose of the study: Artificial intelligence (AI) is becoming increasingly prevalent in science, technology, engineering, and mathematics (STEM) education, holding promising potential for supporting the design and implementation of quality STEM education. However, there is a lack of data-based research studying the diverse perceptions of AI in STEM education as conveyed on social media, the factors that influence those perceptions, or the change in those perceptions over time among public audiences. Results, the main findings: The purpose of this study was to examine public perceptions of AI in STEM education by analyzing X posts (Tweets) between 04/28/2020 …

Teaching To Whom And With Whom: The Role Of Context In Developing Preservice Teachers' Self-Efficacy For Teaching Engineering And Coding Via Robotics, Jennifer Kidd, Kristie Gutierrez, Min Jung Lee, Danielle Rhemer, Pilar Pazos, Krishna Kaipa, Stacie Ringleb, Orlando Ayala

Teaching & Learning Faculty Publications

Due to mandates for the inclusion of engineering and computer science standards for K-6 schools nationwide, there is a need to understand how teacher educators can help develop preservice teachers’ (PSTs’) teaching self-efficacy in these areas. To provide experience teaching and learning engineering and coding, PSTs in an instructional technology course were partnered with undergraduate engineering students in an electromechanical systems course to teach robotics lessons to fifth graders (10–11 year olds) over Zoom. A multi-case study approach explored teaching self-efficacy development for three preservice teachers during their robotics project experiences using multiple data sources, including surveys, reflections, interviews, and …

Teacher Moves For Building A Mathematical Modeling Classroom Community, Ayse Ozturk

Teaching & Learning Faculty Publications

This study investigates the role of teacher talk moves in cultivating a mathematical modeling classroom community. From the models and modeling perspective, it explores how specific teacher talk moves promote student participation in modeling phases and the exchange of ideas with other students. Through a four-week after-school program involving eight secondary students, data were collected from small-group and whole-class discussions. The findings reveal that teacher talk moves can be categorized into three core types: eliciting students’ ideas, introducing key terms and ideas used in mathematical modeling, and encouraging students to take a position during discussions. These moves are shown to …

Rural Families' At-Home Stem Tinkering Stimulates Creativity, Self-Expression, And Social-Emotional Engagement, Kristie S. Gutierrez, Kylie J. Swanson, Margaret R. Blanchard

Teaching & Learning Faculty Publications

Introduction: Informal STEM learning experiences include visits to museums, zoos, and aquariums as well as experiments and other activities performed at home. Family involvement in these experiences has been linked to increased student interest and participation in STEM fields; yet, scant research has been conducted on at-home STEM.

Methods: This descriptive case study investigated the tinkering experiences of nine rural middle school students and their families who participated in a series of interactive, at-home activities. The overarching research question was, in what ways do families engage in at-home STEM interventions? Data analyses of at-home audio recordings were guided by the …

Fostering Critically Conscious Lesson Planning In A Generative Artificial Intelligence Era, Derek Riddle, Paula Cristina Azevedo, Catharyn Shelton, Jaime Colwell, Jori Beck

Teaching & Learning Faculty Publications

Teacher candidates (TCs) use digital resources and social media to plan and develop learning material, and with publically accessible generative artificial intelligence (GAI), TCs are able to generate lesson plans within seconds rather than hours or days. While there is research on how to support TCs' evaluation of reliable digital media, there is little known on how to prepare TCs for GAI content. Using the complementary frameworks of Freire’s (1970) critical consciousness and Jonnasen’s (1991) theory of constructivism, this in-progress design based research seeks to develop an adaptable framework that addresses the evolving nature of technology, specifically GAI, and the …

Teaching Engineering To Enhance Beginning Elementary Preservice Teachers' Engineering-Related Knowledge And Beliefs, Jennifer Kidd, Danielle Rhemer, Kristie Gutierrez, Stacie I. Ringleb, Krishnanand Kaipa, Orlando Ayala, Pilar Pazos, Francisco Cima, Isaac Kumi

Teaching & Learning Faculty Publications

Background

Teacher educators have begun exploring the most effective ways to prepare preservice teachers (PSTs) to engage elementary students in engineering design. However, this remains challenging as PSTs continue to report a lack of exposure to engineering during their K-12 school experiences. This study investigates the engineering-related knowledge and beliefs of PSTs in their first education course, collaborating in small teams to lead elementary students in engineering design challenges. We explored two different iterations to understand how the structure of the teaching experiences contributed to PST outcomes as a first step in identifying helpful approaches. In spring 2022, PSTs collaborated …

Scholarly Inquiry And Practice In Mathematics Teacher Education Through Intimate Scholarship, Signe E. Kastberg, Elizabeth Suazo-Flores, Melva Grant, Olive Chapman

Teaching & Learning Faculty Publications

Historically scholarly inquiry and practice in mathematics education has responded to societal values and questions. Drawing from the Journal of Mathematics Teacher Education’s description of mathematics teacher educator (MTE) work as in solidarity with and alongside mathematics teachers, we turn to mathematics teacher education research as a series of paradigm shifts. MTEs committed to supporting teachers and transferring knowledge attempted to influence mathematics teachers’ work by exploring and understanding teachers’ behaviors. MTEs have also used insider’s perspectives to report the particular of MTEs’ work by describing it beyond behavior and knowledge. These scholars fulfill the call for theoretical eclecticism …

Examining The Practice Of Teacher Leadership Across Nevada: How Is Context Associated With Practice?, Peter Wiens, Kaavonia Hinton, Ami Pritchard

Teaching & Learning Faculty Publications

Teacher leadership (TL) is recognized as vital to creating effective schools with demonstrated benefits to principals, teachers, and students. Teacher leadership is defined in this study as teachers leading from within and beyond the classroom in both formal and informal capacities. TL can take the form of a variety of behaviours such as professional learning, the leading of professional development, collaboration, shared leadership, and equity leadership. While there are commonalities, the practical applications of TL can vary greatly from context to context. Even within specific policy contexts, TL can vary from school to school. This article analyzed the responses of …

Exploring Physics Teacher Identity: Pathways Toward Equitable Instruction Among Teachers, Clausell Mathis, Jomo Mutegi, Turhan Carroll, Maya Patel, Andrea Wooley

Teaching & Learning Faculty Publications

Physics teacher identity encompasses teachers' beliefs and views toward being a physics teacher. Physics teacher identity is influenced by teachers' perspectives on physics teaching and learning. Previous studies on teacher identity in general suggest that the construct is complex and malleable. Studies further suggest that it influences instructional methods, student engagement, and classroom environment. However, within physics education, there has yet to be an examination of how physics teacher identity influences "equitable" teaching approaches. This qualitative study sought to identify various dimensions of physics teacher identity and its implications for physics education research. We interviewed secondary and postsecondary physics teachers …

How Have Teacher Candidates Learned To Use Evidence? A Systematic Review Of Research, J. S. Beck, D. R. Riddle, J. J. Morgan, H. Whitesides, N. Brown

Teaching & Learning Faculty Publications

The purpose of the current manuscript was to provide a systematic review of the literature regarding how preservice teachers learn to use evidence to evaluate student learning. To that end, we operationalize the terms data literacy for teachers, data-driven decision making, and assessment literacy before outlining the methods of our systematic review. Our review produced 36 relevant articles situated within the United States. Based on these articles, we describe how teacher candidates learn to use data including relevant interventions and instructional methods. We also expand on the types of research methods used in these studies. We conclude with implications for …

Maximum Trimmed Likelihood Estimation For Discrete Multivariate Vasicek Processes, Thomas M. Fullerton Jr., Michael Pokojovy, Andrews T. Anum, Ebenezer Nkum

Mathematics & Statistics Faculty Publications

The multivariate Vasicek model is commonly used to capture mean-reverting dynamics typical for short rates, asset price stochastic log-volatilities, etc. Reparametrizing the discretized problem as a VAR(1) model, the parameters are oftentimes estimated using the multivariate least squares (MLS) method, which can be susceptible to outliers. To account for potential model violations, a maximum trimmed likelihood estimation (MTLE) approach is utilized to derive a system of nonlinear estimating equations, and an iterative procedure is developed to solve the latter. In addition to robustness, our new technique allows for reliable recovery of the long-term mean, unlike existing methodologies. A set of …

Learning And Belonging In A Museum-School Environmental Stewardship Partnership, Joanna K. Garner, Mel Kuhn, Andrea M. Rocchio, Grace Friedenreich

Center for Educational Partnerships Publications

Students in urban, low-income communities can lack access to environmental science outreach in natural settings. As a result, they may face barriers to applying course content to real-world contexts and developing an agentic, hopeful stance towards environmental stewardship. In this paper, we describe a partnership between a maritime museum and park, an urban school district, and ecology experts. The project aimed to increase students’ knowledge of aquatic ecosystems, develop awareness of stewardship-related actions and career pathways, and support a sense of belonging to the museum. Activities included classroom visits by experts, field trips to plant classroom-grown grasses in the museum’s …

Computer Science For Middle School (Cs4ms), Melani Loney, Lisa Steffian, Tancy J. Vandecar-Burdin

Center for Educational Partnerships Publications

This session will discuss the project Computer Science for Middle School and the associated findings. This Virginia Department of Education funded project provides computer science Professional Development opportunities for in-service teachers, located in Southeastern Virginia, who instruct students in middle school grades 6- 8. Participating teachers learn to integrate computer science standards into core and elective content through online, asynchronous microcredentials and in-person Summer Workshops. The presentation will include project findings and next steps including teacher efficacy for implementing the computer science standards before and after completing the microcredentials and their students’ attitudes about computer science.