Science and Mathematics Education Commons^™

Exploring Geometry Teaching And Learning Through Self-Study, Linnea Kallebo Ms., Ayse Ozturk

Knowledge and Creativity Expo

Self-study is a powerful tool for improving teacher effectiveness, particularly in mathematics instruction where misconceptions can significantly impact student learning. This self-study examines my evolving understanding of geometry concepts and common student misconceptions encountered during a teaching geometry course. Through reflection, peer discussion, and analysis of misconceptions, this study reveals how examining both my own learning and students’ thinking can inform self-adjustment of teaching strategies. Findings highlight the importance of building new geometry concepts on mastered ideas and pairing self-study with evaluation of student responses to improve instructional decision-making.

Self-Study In Learning And Teaching The Pythagorean Theorem, Julia Podolskiy, Ayse Ozturk

Knowledge and Creativity Expo

Old Dominion University undergrad student Julia Podolskiy performed self-study research on learning and teaching the Pythagorean Theorem. The poster provides purpose, methods, results, and future directions on how Julia Podolskiy's knowledge on the Pythagorean Theorem has improved over the course of a semester and how she plans to implement the theorem to her teaching.

Rethinking Dfw In Gateway Mathematics: Preserved, Disrupted, And Dissipated Momentum Pathways To Student Retention, John Alan Nunnery, Charles Mathies

Educational Leadership & Workforce Development Faculty Publications

This study examines how disaggregated first-year mathematics outcomes, including failure, low-passing grades, course withdrawal, and no attempt at a credit-bearing mathematics course, are associated with second-year retention at a large, diverse, urban public university. The study extends academic momentum theory by positing and operationalizing preserved (marginal passing), disrupted (failure or withdrawal), and dissipated (non-enrollment) as qualitatively distinct momentum states rather than a single condition. Using a segmented binary logistic regression model with more than 26,000 first-time, full-time students across ten entry cohorts (2012–2021), we estimate differences in retention by mathematics outcome, course type, and cohort context. Results show a pronounced …

Supporting K-5 Computer Science Integration Through High-Quality Teacher Professional Development, Shanan Chappell Moots, Joanna K. Garner, Joseph A. Brobst, Melani Loney, Lisa Steffian, Jennifer Maeng

Center for Educational Partnerships Publications

Workforce development and education leaders have increasingly emphasized the need for high-quality computer science (CS) instruction for K-12 students. Though states have created and mandated the implementation of CS curriculum standards, few in-service teachers have been provided sufficient opportunities to develop CS pedagogical content knowledge and self-efficacy. This study evaluated the effect of a CS integration professional development (PD) program on K-5 teachers' perceptions of their capacity to teach CS and their implementation of CS-integrated lessons using a randomized controlled trial design. Treatment included an intensive online summer institute with school year follow-up. Results indicate statistically significant effects of the …

A Large Language Model-Based Academic Advising Assistant For Engineering Technology Students, Murat Kuzlu, Vukica M. Jovanovic, Katherine Smith, Otilia Popescu, Adel El-Shahat, Ryan Cotton, Kayla Marie Seegers, William Austin Henderson

Engineering Technology Faculty Publications

In recent years, Artificial Intelligence (AI)-based solutions, particularly Large Language Models (LLMs), have been applied to a variety of domains, such as energy, finance, transportation, healthcare, and education. Among these domains, education has become increasingly popular due to strong interest among educators and students. This study proposes an academic advising assistant system that uses LLMs to help Engineering Technology (ET) students plan their course load based on their educational history, departmental course offerings, and personal constraints, such as their preferred semester course load. The proposed LLM-based academic advising assistant system maintains a database of students' course histories and upcoming course …

Wip: Arduino-Based Pbl To Foster Entrepreneurial Mindset, Nathan Q. Holland, Vukica M. Jovanovic

Engineering Technology Faculty Publications

This work-in-progress paper examines a semester-long project-based learning initiative begun in an introductory engineering course during the Fall 2025 semester. The project aims to enhance students' hands-on experience by integrating information literacy, the engineering design process (EDP), and an entrepreneurial mindset (EM) [1]. The objective is to boost student confidence in teamwork, technical problem-solving, and application of skills, preparing them for future courses in their discipline. Students in this introduction to engineering course received an Arduino Uno R3 Controller board kit and additional sensors. They were tasked to develop a device addressing engineering in the medicine challenge of their choosing. …

Integrating Design Thinking In A Stem Methods Course, Demetrice Smith-Mutegi

Teaching & Learning Faculty Publications

Design thinking, a problem-solving approach, has been offered as a strategy to address the challenges of growing and complex teaching expectations. In this narrative, I describe an adapted model of design thinking that was implemented in a secondary STEM methods course for teacher candidates in a graduate program. A description of the key activities, including the fundamental role of empathizing, is shared. Design thinking, when implemented by teachers and teacher candidates, allows the teacher to design and improve a lesson or unit based on student feedback and engagement. This is especially important in today's rapidly evolving educational landscape, where educators …

Secondary Teachers' Experiences In International Professional Development For Convergence Research In Stem And Tradition, Rachel Sparks White, Kristie S. Gutierrez, James K. Ferri

Teaching & Learning Faculty Publications

Convergence education promotes learning experiences that integrate science, technology, engineering, and mathematics (STEM) to address complex real-world problems. However, secondary teachers often report limited access to professional development (PD) and curricular resources that support transdisciplinary instruction. This exploratory case study examines how four secondary teachers (three chemistry; one engineering) made sense of a transdisciplinary PD model, Convergence Research in STEM and Tradition (CReST), that leverages cultural heritage artifacts (Renaissance frescoes) as boundary objects to connect chemistry, engineering, world history, and technology. Teachers participated in a four-day immersive PD experience in Firenze (Florence) and Pisa, Italy, that included site-based learning, interaction …

'I Want To Learn Biology And Preserve My Culture' Testing The Efficacy Of A Culturally Relevant And Context Specific Approach, Umar Adam, Musa Adekunle Ayanwale, Hafsat Mustapha, Sakibu Olajide Saibu, Tunde Owolabi, Adekunle Ibrahim Oladejo

Teaching & Learning Faculty Publications

Background

The dominance of Western-inspired teaching methods and instructional materials has contributed to cultural erosion in African schools. In response, increasing attention has been directed toward culturally responsive approaches to decolonising science education. One such approach is the Culturo-Techno-Contextual Approach (CTCA), which enables African students to conceptualize science as culturally embedded knowledge, integrated into their everyday experiences and practically relevant to their lived realities.

Purpose

This study examined the potency of the CTCA in enhancing students' achievement in the biology topic of variation, which is widely regarded as conceptually challenging.

Sample

The study involved 105 Senior Secondary II students from …

Artifact Centered Interdisciplinary Instruction Supports Secondary Student Learning In Chemistry History And Engineering, Rachel Sparks White, Kristie S. Gutierrez, James K. Ferri

Teaching & Learning Faculty Publications

Secondary STEM instruction often remains organized in disciplinary silos, limiting opportunities for students to apply Concepts across domains incoherent, authentic contexts. This mixed methods implementation study examined Convergence Research in STEM and Tradition (CReST), an Artifact centered interdisciplinary curriculum model designed to connect chemistry, world history, and engineering through a shared instructional context. In this implementation, Italian frescoes served as a boundary object anchoring a six-day sequence on mural materials, deterioration, and restoration. The sequence integrated targeted concepts in inorganic chemistry (e.g., the lime cycle and thermal processes), renaissance era historical contacts and the engineering design process within tasks related …

Girls Stem Institute: Impacting Black Girls' Self-Efficacy And Interest In Stem Careers, Crystal Morton, Demetrice Smith-Mutegi, Danka Maric, Vidushi Adlakha, Robin Jackson

Teaching & Learning Faculty Publications

Nationally and globally, STEM serves as a gatekeeper to the labor market and higher education opportunities. Many Black girls find themselves locked out of the gate. Historically and contemporarily, Black girls are seldom viewed as capable or worthy of educational investment and face unique and ongoing challenges in K-12 STEM learning spaces due to their gender and racial identities. Research suggests that informal STEM learning spaces can serve as a counter to Black girls’ experiences in K-12 schools and help enhance Black girls’ self-efficacy and STEM career interests. This study explores the impact of a four-week informal STEM program, employing …

Pre-Service Teachers' Perceptions Of Literacy In Stem Classroom Instruction By Implementation Of Project-Based Lessons, Sarah Ferguson, Maryam Enderson, Jamie Colwell

Teaching & Learning Faculty Publications

This study examines how project-based learning (PBL) supports pre-service STEM teachers (PSTs) in understanding and applying disciplinary literacy in classroom instruction. Conducted in a semester-long PBL course at a mid-sized public university, the research explores PSTs’ shifting perceptions of literacy in STEM and the challenges and successes they experience. Using qualitative methods grounded in student voice and case study frameworks, data were collected through focus groups, reflections, and lesson plan analyses. Findings show PSTs initially held narrow views of literacy but developed more nuanced understandings through PBL. Key successes included increased confidence and use of inquiry-based strategies; challenges involved time …

Supporting Teacher Candidates' Conceptions Of Equitable Mathematics Teaching: Using Exposure And Experience In Elementary Mathematics Methods Courses, Amanda Mohammad Mirzaei, Ethan P. Smith

Teaching & Learning Faculty Publications

Elementary mathematics methods courses may provide a lever to help support teacher candidates in their trajectory to becoming equitable mathematics teachers. To support the rising generation of mathematics teachers, mathematics teacher educators (MTEs) must critically analyze approaches to equity within and across teacher preparation programs. This study investigates an elementary mathematics course centering equitable mathematics teaching and learning (EMT), rather than isolating or using it as a supplementary aspect. We consider a framework of the teacher learning trajectory (Turner et al., 2012) where teacher candidates learn initial practices, make connections, and then incorporate these practices into their teaching. We extend …

Explainable Ai-Driven Predictive Maintenance Curriculum For Smart Manufacturing, Abdullah Al Mamun, Murat Kuzlu, Katherine Smith, Vukica Jovanovic, Dalya Ismael, Adel El-Shahat, Angela Sicaja, Md. Hedayetul Islam Chy

Engineering Technology Faculty Publications

Nowadays, Industry 4.0 has transformed manufacturing industries into a data-rich system driven by IoT, automation, and Artificial Intelligence (AI). Within this context, Predictive Maintenance (PdM) provides a proactive strategy that leverages heterogeneous sensor data such as vibration, acoustic, electrical, and visual signals along with historical performance and advanced analytics to forecast equipment failures before they occur. Usually, AI-driven PdM (AI-PdM) enhances this capability by integrating AI-based sensor analytics to automate fault prediction and optimize system reliability. However, traditional AI-PdM often functions as a “black box,” providing limited interpretability of its decision-making process and posing challenges for trust, validation, and human …

Professional Identity Exploration And Commitment Development By Stem Undergraduates From Underrepresented Groups During Near-Peer Mentoring, Joseph A. Brobst, Joanna K. Garner, David Hartenstine, Perry Fizzano

Center for Educational Partnerships Publications

This study examines near-peer mentoring as a context for professional identity development by undergraduates from groups that are underrepresented in STEM higher education. Mentees were students in a computer science/mathematics‑focused scholarship program, with a two-tiered near-peer mentoring component that paired 1st-2nd‑year undergraduate mentees with 3^rd-4^th year mentors and 3^rd-4^th year mentees with early‑career professional mentors. We analyzed mentoring conversation summaries from three mentor–mentee pairs, spanning one academic year. Mentoring relationships provided safe spaces for students’ professional identity exploration and the development of commitments toward career paths and life goals. Across all cases, conversation summaries …

Using A Study Journal To Support Class Engagement And The Development Of Entrepreneurial Mindset Habits, Otilia Popescu, Dimitrie C. Popescu

Engineering Technology Faculty Publications

Engineering Technology programs were historically introduced to support non-traditional students and offer college pathways for students working and having already a developing career. This is even more true in the current academic environment, with a large percentage of students enrolled in engineering technology programs being either fully or part-time employed, active or retired military, and at different stages in their lives, usually with families to care for. Often, non-traditional students attend classes online, either synchronously or even more often asynchronously, due to their schedule constraints. Course instructors regularly face schedule or time management constraints from the students’ side, and they …

Exploring Student Confidence And Calibration Accuracy In College Algebra: A Mixed-Methods Explanatory Sequential Study, Courtney T. Hill

STEMPS Theses & Dissertations

Calibration, or students’ ability to predict and postdict their performance on an academic task, has important implications for academic performance. It can influence students' decision making processes concerning learning activities, as well as their levels of motivation and self-regulation (Kolovelonis, 2023). The literature on calibration is clear, often indicating that students are not great at these judgements (Lin et. al, 2001). While this phenomenon is well documented, it is not an easy one to explain. Therefore, a two-phase explanatory-sequential mixed method design was used to examine undergraduate students’ calibration judgements on a college algebra exam. To further contribute to the …

Identifying Contributing Factors Of Black American Females’ Long-Term Persistence In Stem Education: A Qualitative Phenomenological Study, Chandra T. Oaks-Garcia

STEMPS Theses & Dissertations

The purpose of this study was to gain insights into contributing factors that have shaped the experiences of eight Black American females who pursued STEM education as they persisted from the secondary education setting to their collegiate setting in a STEM major. This qualitative phenomenological study collected data through in-depth semi-structured interviews with Black American female juniors and seniors studying at four different four-year institutions, all pursuing degrees in STEM-related fields. Demographic surveys and memo writing were incorporated to enhance the data analysis. To explore the lived experiences of Black American females in STEM education and identify factors that contributed …

Extending A Pretrained Language Model (Bert) Using An Ontological Perspective To Classify Students' Scientific Expertise Level From Written Responses, Heqiao Wang, Kevin C. Haudek, Amanda D. Manzanares, Chelsie L. Romulo, Emily A. Royse, Caterina B. Azzarello

Human Movement Studies & Special Education Faculty Publications

The complex and interdisciplinary nature of scientific concepts presents formidable challenges for students in developing their knowledge-in-use skills. The utilization of computerized analysis for evaluating students' contextualized constructed responses offers a potential avenue for educators to develop personalized and scalable interventions, thus supporting the current teaching and learning of science. While prior research in artificial intelligence has demonstrated the effectiveness of algorithms, including Bidirectional Encoder Representations from Transformers (BERT), in tasks like automated classifications of constructed responses, these efforts have predominantly leaned towards text-level features, often overlooking the exploration of conceptual ideas embedded in students' responses from a cognitive perspective. …

Using Virtual Reality To Assist Students At Academic Risk In Human Anatomy, Michael Foley, Lauren T. Lilley, Lindsay Meyers, Robert Armstrong, Lisa Fore-Arcand, Kelly Mccoy, Chad Eitel, Tod R. Clapp, Natascha Heise

Department of Pathology & Anatomy Faculty Publications

Learning human anatomy presents a significant challenge for health profession students due to the difficulty in visualizing structures in three dimensions. Virtual reality (VR) has been reported to aid in understanding these relationships. In this study, students at academic risk attended VR sessions alongside their gross anatomy course. Data from post-surveys, observations, and examinations indicated VR participants performed similarly to peers, except in head/neck and pelvis/lower limb exams where performance was lower. Students valued VR for enhancing confidence and understanding. VR shows promise in supplementing anatomy education, particularly for less complex regions, and bridging gaps in traditional learning methods.

Wip-Monarch Accelerator Program To Engineering: A Reflection On The First Semester, Kristin Eden, Jeffrey W. Fergus, Stacie I. Ringleb

Mechanical & Aerospace Engineering Faculty Publications

This work in progress paper examines the Monarch Accelerator Program to Engineering (MAP2E) program. The MAP2E Program was developed to assist students who desire to become engineers but may need additional assistance in math and science. and it allows students to develop their math and science skills while creating a pathway to personal or professional enriching skills. Furthermore, the MAP2E program allows students to develop their math and science skills and create parallel pathways to personal or professionally enriching skills. For instance, a student may hope to one day start their own engineering firm. A business administration pathway would allow …

Designing A Tpack-Based Mobile Learning Model For Biology Education Using Nominal Group Techniques, Cik Jamaliah Abd Manaf, Shakinaz Desa, Muhammad Ikhwan Mat Saad, Helen Crompton

STEMPS Faculty Publications

Mobile learning (m-learning) enhances STEM education, particularly in biology, by supporting visualization and interaction. However, a structured framework integrating technological, pedagogical, and content knowledge (TPACK) is essential. This study designs a TPACK-based mobile learning model for biology using the Nominal Group Technique (NGT). A workshop with 10 experts identified seven key components and 67 elements, with nine elements rejected due to low consensus. The validated framework will guide model development using Interpretive Structural Modelling (ISM) to enhance critical thinking, collaboration, and digital citizenship, ultimately fostering effective mobile learning environments for biology education.

Self-Efficacy And Stem Education: A Study Of Family And Consumer Science Teachers In Pennsylvania, Charlene Smith, Philip A. Reed

Educational Leadership & Workforce Development Faculty Publications

Science, technology, engineering, and mathematics (STEM) education has become widely promoted. Family and Consumer Sciences (FCS) uses science to improve home life while reinforcing technology, engineering, and mathematics principles. However, FCS is not usually recognized as a STEM subject. The purpose of this study was to determine what factors may affect FCS teachers’ level of self-efficacy in teaching STEM to provide supports that improve teaching practices. This quantitative study surveyed secondary FCS teachers in Pennsylvania using the T‐STEM Survey for Elementary Teachers. Results were analyzed using descriptive statistics and simple linear regression analysis was performed to determine the predictive …

A Pathway To Completion: Student Veterans Pursuing Engineering Degrees, Kim E. Bullington, Cynthia L. Tomovic, Anthony W. Dean, Vukica Jovanovic

Educational Leadership & Workforce Development Faculty Publications

This 5‐year research project was based on an NSF S‐STEM research grant (1742118) focused on student veteran education and workforce preparation. We addressed STEM workforce and defence community needs by providing targeted scholarships and support for veteran students pursuing engineering degrees. Our aim was to enhance the workforce by improving access and success rates through financial and institutional support, while developing evidence‐based practices for recruitment, retention and graduation of student veterans. Through targeted interventions, we examined obstacles student veterans face in education and in engineering programs and increased their sense of camaraderie, career awareness, engineering identity, professional development, financial security …

T3-Ciders: Train-The-Trainer And Community Building To Increase Cyberinfrastructure Adoption In Cybersecurity Research And Education, Wirawan Purwanto, Mohan Yang, Peng Jiang, Shanan Chappell Moots, Masha Sosonkina, Hongyi Wu

University Administration Publications

T³-CIDERS is a train-the-trainer program to increase the adoption of advanced cyberinfrastructure (CI) and data skills into the fabric of research and education in cybersecurity and cyber-related disciplines. T³-CIDERS trains faculty, researchers, and students as “future trainers” (FTs) with hands-on technical and instructional skills to enable more people to effectively leverage CI in cybersecurity. The program includes a series of technical pre-training modules, a weeklong summer institute, ongoing learning engagements conducted over an academic year; it culminates with the FTs conducting locally tailored CI-infused training events at their respective home institutions. Ultimately, T³-CIDERS aims to build a “CI+cybersecurity” community of …

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 …

Designing Tpack-Driven Mobile Learning With Digital Citizenship For Biology Education: Insights From Ngt And Ism Approaches, Cik Jamaliah Abd Manaf, Shakinaz Desa, Muhamad Ikhwan Mat Saad, Helen Crompton

STEMPS Faculty Publications

The rapid digitization of education and the complexity of scientific content demand the integration of digital citizenship in TPACK-based mobile learning for Biology. This study aimed to identify and prioritize relevant digital citizenship practices using a Design and Development Research approach. In Phase One, the Nominal Group Technique with 10 experts evaluated eight proposed practices. Phase Two employed Interpretive Structural Modeling with nine experts to structure hierarchical relationships. Seven practices were retained, with Ethical Use of Digital Resources as the top-level driver. The resulting framework supports ethical and discipline-specific mobile learning models, promoting responsible digital engagement in Biology education.

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 …

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.