Science and Mathematics Education Commons^™

Shifting To Using Desmos Or Geogebra Graphing Calculators In High School Mathematics Classrooms, Nancy Lin

Dissertations, Theses, and Capstone Projects

Most high school math classrooms in Long Island use the Texas Instruments TI-84+ CE graphing calculator in the three Regents math courses. Texas Instruments holds approximately 80% of the market share of the international graphing calculator market. At a manufacturer's suggested retail price of $150 per TI-84+ CE, an inequitable situation exists for math learning, as underfunded schools and students from lower socioeconomic backgrounds cannot afford to purchase one for home use. Such students have less experience using the handheld graphing calculator when they take high-stakes math exams. Through case studies of four suburban school districts in New York that …

Scientific Uncertainty As Political Aggression: A Manifesto For Those Who Value Science And Want To Save It From State And Corporate Control, Stephen Demeo

Publications and Research

A manifesto is an opportunity to publicly express strongly held beliefs about a topic that is personally important to an author. It is analytical as it is creative. “Scientific Uncertainty as Political Aggression” is a manifesto that intersects science and politics. It urges those interested in science to examine two different but related topics: scientific uncertainty in measurement—what it is, how it is determined, why it’s important— and the magnification of uncertainty through legal and linguistic tactics used by right-wing politicians and politically supported corporations.

For some time now, the Republican Establishment has cast excessive doubt on scientific findings through …

Highly Confident But Slightly Uncertain: A Long Overdue Reinvention Of The School Scientific Method, Teaching - Volume 4, Stephen Demeo

Publications and Research

In Volume 4, the last book of the series, I continue the argument for greater parity between conceptual knowledge—the "what" of science—and methodological knowledge—the "how" of science—but in the context of teacher instruction. To this end, two literature reviews are presented: One on how students build confidence, specifically regarding the reliability or consistency of measurement or results, and the other on scientific uncertainty. Research studies focusing on student misconceptions are summarized and organized from the elementary to the college level. These literature reviews describe invaluable ways for teachers to improve their instruction, while providing examples of experiments that can be …

Highly Confident But Slightly Uncertain: A Long Overdue Reinvention Of The School Scientific Method, Uncertainty And Error - Volume 3, Stephen Demeo

Publications and Research

Volume 3 explores the essential roles of uncertainty and error in scientific experimentation. It distinguishes between scientific error and scientific uncertainty: Scientific error refers to the difference between an experimental value and an accepted literature value, as well as the difference between data points in an x-y scatter plot and a predicted trendline. Scientific uncertainty, on the other hand, is associated with doubt arising from instrument limitations, variability within a data set, and psychological factors. Human error is set apart as mistakes or blunders, not to be conflated with scientific error.

Of utmost importance to the scientific investigator is the …

Highly Confident But Slightly Uncertain: A Long Overdue Reinvention Of The School Scientific Method, The X - Volume 1, Stephen Demeo

Publications and Research

In Volume 1, I critique the traditional School Scientific Method—an oversimplified, underdeveloped, and short, stepwise process—and argue for a more authentic, detailed, and rigorous approach to experiment-based scientific inquiry in education. I briefly explain the historical roots of the School Scientific Method, its benefits in increasing the exposure of experimental science to the masses, and its limitations in fostering more authentic scientific thinking and experimental practice.

In place of this traditional and problematic method, I introduce a graphic organizer called sciXpsy to foster both big-picture and detailed scientific thinking. The heuristic combines scientific concepts and methodology with the psychology of …

Highly Confident But Slightly Uncertain: A Long Overdue Reinvention Of The School Scientific Method, Confidence - Volume 2, Stephen Demeo

Publications and Research

Focusing on the psychology of empirical science, Volume 2 is an in-depth exploration of how students can build confidence in scientific data. Central to the text are twelve Confidence Indicators, a comprehensive set of approachable strategies and methodologies that help investigators produce, evaluate, and argue for reliable and valid empirical data. They include:

Good (and Ethical) Laboratory Practices

Repetition

Peer Replication/Review

Secondary Tests

Comparisons with Standards

Plots and Patterns

Conceptual Support

External Data Sources

Precision

Accuracy

Checking Calculations

Redesign/What-If Ideas

This volume includes numerous school science experiments that demonstrate how these indicators are applied across a wide range of educational …

Pathways To Green Economy Occupations In Engineering And Construction, Melanie Ekka Villatoro, Ivan L. Guzman, Marzi Azarderakhsh

Publications and Research

The Department of Construction Management and Civil Engineering technology (CMCE) at New York City College of Technology is incorporating curricular modifications to prepare our students to enter “focus occupations,” identified by New York City as critical to the sustainable growth of the Green economy. We offer three degrees in construction management, civil engineering technology and construction engineering technology. The Department was recently selected as part of the 2025 ASEE Engineering for One Planet (EOP) mini grant cohort. The EOP grant provided support for curriculum development to incorporate sustainability focused learning outcomes. The project team used the EOP framework to modify …

Developing An Ecosystem Of Stem Success For Built Environment Scholars, Melanie Villatoro, Hamid Norouzi

Publications and Research

The National Science Foundation S-STEM program at NYC College of Technology (City Tech), Developing an Ecosystem of STEM success for Built Environment Scholars (Award Number 2150432), focuses on supporting and developing scholars in the majors relating to the Built Environment which include Civil Engineering Technology, Construction Engineering Technology, Electrical Engineering Technology, Mechanical Engineering Technology and Environmental Control Technology. The S-STEM program aims to reduce financial barriers for low-income students by providing scholarships. SSTEM scholars are provided with faculty mentors and opportunities to engage in cohort building activities that include field trips, research, workforce internships, and networking sessions. The project began …

Making A Makerspace: The Innervate Lab As A Reimagined Technology Education Space, Raaghav Pandya, Euisuk Sung, Caroline Darin

Publications and Research

With the growing emphasis on creativity, collaboration, and reflective thinking in technology and design education, technology labs are expected to shift from technical priorities to open, collaborative spaces. Designed within an existing technology education facility, the paper explored what it means to “technology lab” that merges the technical with the reflective, the cultural with the material, and the innovative with the contemplative. This paper presents the intellectual and aesthetic journey of creating an innovative makerspace within a technology education context and explains how this work embodies a sustainable model for training future technology educators. Our approach was informed by the …

Exploring Engineering Technology: A Multi-Year, Multidisciplinary Project-Based Engineering Technology Workshop, Benito Mendoza, Angran Xiao, Muhammad Ummy

Publications and Research

Many students enter engineering technology programs with a limited understanding of disciplinary differences, curricular expectations, and career pathways, contributing to early dissatisfaction and attrition. To address this challenge, we developed Exploring Engineering Technology, a multidisciplinary, project-based workshop that introduces students to Mechanical, Electrical, and Computer Engineering Technology through a shared robotic systems project. This paper presents a multi-year design-based educational research (DBER) study documenting the iterative refinement and sustained implementation of the workshop across three consecutive summers (2023–2025) at a large urban public college. Using a consistent post-workshop survey administered across cohorts and aggregate student progression indicators, we examine …

Evaluation Of 5g-Enabled Resource Allocation For Smart Led Streetlight Infrastructure, Ahmed Hassebo, Yasser Hassebo

Publications and Research

The proliferation of 5G networks facilitates high-speed, low-latency communication essential for the advancement of smart city infrastructure. This research investigates the performance of 5G enabled connectivity for smart LED streetlight systems, focusing on resource allocation strategies between mission-critical and latency-tolerant services. Utilizing MATLAB simulations, the study evaluates network slicing and scheduling algorithms through key performance indicators (KPIs) including throughput, end-to-end delay, and Packet Error Rate (PER). The proposed framework integrates dynamic scheduling mechanisms—analogous to LTE uplink protocols—to optimize energy efficiency and data responsiveness across large-scale urban lighting deployments. Empirical results indicate that 5G Ultra-Reliable Low-Latency Communication (URLLC) effectively supports real-time …

Challenging Stem Learning Spaces: The Paradigm Of Contemplative Traditions As The Bedrock Of Creativity And Healing, Raaghav Pandya, Christopher Emdin

Publications and Research

As the post-pandemic classroom and pedagogy evolve to remedy oppressive norms, young people’s mental health and alienation has taken front stage (Rahmani & Zitouni, 2022). Traditional STEM learning spaces often teach inquiry as a linear, non-deviated approach to problems about self and nature (Hrisa & Psillos, 2022). Furthermore, because our classrooms often strip students and educators of their inherent creative abilities through constant assessments, improvement scales, and market-driven expectations, classrooms cease to become places of healing (Pandya, 2021). Eastern wisdom traditions and their associated philosophies provide a unique pedagogical lens that emphasizes a deep inquiry into self, empathy, and creativity …

Ancient Wisdom & Its Cultural Relevance: Reimagining Deeper Learning In Science Classrooms Through The Lens Of Yoga And Vedānta, Raaghav Pandya

Publications and Research

Contemporary calls to reconceptualize how science is taught and understood have brought deeper learning to the forefront of education at-large for its emphasis on critical perspectives, creativity, and student-centered inquiry. Yet this paper argues that its prevailing framework remains constrained by Cartesian dualism, a materialist foundation that disassociates the individual from self, other, and nature, and falls short of addressing the mental health, environmental, and cultural challenges facing youth today. To address this limitation, this paper proposes a complementary convergence between deeper learning and the contemplative traditions of Yoga and Vedānta, whose ancient paradigms of self-inquiry, interconnectedness, and well-being offer …

Ctrl + Alt + Inner Speech: A Verbal–Cognitive Scaffold (Vcs) Model Of Pathways To Computational Thinking, Daisuke Akiba

Publications and Research

This theoretical paper introduces the Verbal–Cognitive Scaffold (VCS) Model, a cognitively inclusive framework which proposes the cognitive architectures underlying computational thinking (CT). Moving beyond monolithic theories of cognition (e.g., executive-function and metacognitive control models), the VCS Model posits inner speech (InSp) as the predominant cognitive pathway supporting CT operations in neurotypical populations. Synthesizing interdisciplinary scholarship across cognitive science, computational theory, neurodiversity research, and others, this framework articulates distinct mechanisms through which InSp supports CT. The model specifies four primary pathways linking InSp to CT components: verbal working memory supporting decomposition, symbolic representation facilitating pattern recognition and abstraction, sequential processing enabling …

Challenges In Developing Physical Intuition In College General Physics Courses, Vasiliy S. Znamenskiy, Rafael Niyazov

Open Educational Resources

Many students can memorize formulas but struggle to feel what a newton, joule, or volt means; they treat formulas as plug-and-chug templates rather than descriptions of relationships among physical quantities. This presentation introduces three types of learning activities: (1) text-free (“no-text”) problems, in which carefully designed visuals replace prose to convey relationships and constraints; (2) anti-problems, which begin with a mathematical expression and ask students to imagine a physical situation it could describe; and (3) lab games that turn routine measurement into purposeful play, emphasizing estimation, scaling, and unit sense. We provide ready-made, Brightspace-compatible assessments alongside low-tech implementation options. The …

Citytech Algebra Based Physics Exam1 (Brightspace Quiz), Vasiliy S. Znamenskiy, Rafael Niyazov

Open Educational Resources

This Brightspace-based Exam 1 assesses foundational concepts in algebra-based physics through short, auto-graded items designed to provide clear feedback. The exam targets core learning outcomes from the opening units of the course: measurement and unit analysis, significant figures, one-dimensional kinematics with constant acceleration (relationships among 𝑥, 𝑣, 𝑎, 𝑡), and basic problem-solving with proportional reasoning. Question formats include numerical entry multiple choice focused on common misconceptions, and brief conceptual prompts that test qualitative understanding before calculation. The item set emphasizes translating among verbal descriptions, diagrams, formulas, and graphs; checking the reasonableness of results; and communicating precision. Randomized parameters and pooled …

From Summer Institute To Action: Advancing Equity And Inclusion In Stem Classrooms, Sandie Han, Nadia Kennedy, Malgorzata Marciniak, Diana Samaroo

Publications and Research

This Editor’s Note provides background on the CUNY Innovative Teaching Academy Summer Institute for Equitable and Inclusive STEM Teaching and Learning and introduces the articles featured in this special issue.

Professional Development Workshops For Faculty On Addressing Implicit Bias In Computer Science Education, Sandie Han, Diana Samaroo, Janet Liou-Mark, Boyan Kostadinov, Johann Thiel, Suhua Zeng

Publications and Research

The "Understanding Implicit Bias" workshops were offered to Science, Technology, Engineering, and Mathematics (STEM) faculty at an urban minority-serving undergraduate institution with a focus on addressing the gender gap in computer science. The workshops aimed to raise awareness of implicit (unconscious) biases and provide practical strategies for addressing them, fostering a more inclusive classroom environment. Analysis of pre- and post-survey responses indicated an increase in participants' awareness of implicit biases in their discipline and a greater openness to taking steps to address them, suggesting the workshops' potential impact on promoting inclusive teaching practices.

Designing Equity-Focused Pedagogy In Mathematics Teacher Preparation With Digital Data Tools, Nadia Stoyanova Kennedy, Boyan Kostadinov, Sandie Han

Publications and Research

This study examines the implementation of a course module that integrated computing and data analysis. The module aimed to engage prospective mathematics teachers in the practice of working with datasets and analyzing data to investigate questions related to local Brooklyn schools, as well as to gain deeper insight into the students and communities where they conduct their field experiences. Throughout the module, teacher candidates explored issues such as student learning opportunities, achievement gaps, school segregation, educational (in)equity, and other social justice concerns through readings, data analysis, and direct engagement. They shared and reflected on their findings with peers, deepening their …

Artificial Intelligence And Machine Learning For Composite Materials Design, Kazi Imran, Akm Rahman, Jiayue Shen, Md Zahidul Haque

Publications and Research

Artificial intelligence is becoming a powerful tool to design and develop new materials, especially in composite materials design. Fiber-reinforced polymer composites have an exceptional advantage over traditional materials for their superior or specific stiffness and strength, and resistance to corrosion and fatigue, which results in low total lifetime cost. One of the primary limitations of these composite materials is predicting mechanical, thermal, and electrical properties due to the anisotropy of the materials. Predicting mechanical, thermal, and electrical properties is important in utilizing these composite materials for multiple engineering applications. To address this issue requires a machine learning model trained from …

Board # 186: The Impact Of Virtual Reality On Learning In Engineering Materials Courses, Ozlem Yasar, Angran Xiao

Publications and Research

Virtual reality (VR), one of the leading technologies in immersive learning, has the potential to transform the teaching of mechanical engineering by providing interactive, 3D learning environments. Traditional teaching methods in mechanical engineering often rely heavily on theoretical concepts and offer limited practical demonstrations. However, giving students hands-on experience with advanced machinery, such as scanning probe microscopes (SPM) and transmission electron microscopes (TEM), poses significant challenges. These challenges arise from factors like cost constraints, limited availability, and safety concerns. These machines are prohibitively expensive to acquire and maintain, making it impractical for many educational institutions to provide widespread access. Even …

Board # 363: Effective Strategies To Support Student Success In An Nsf S-Stem Program, Diana Samaroo, Urmi Duttagupta, Nadia E. Stoyanova Kennedy, Armando R. Solis, Viviana Acquaviva

Publications and Research

This paper reports on the success of an NSF S-STEM grant, which builds on two successful previous programs at “our institution”. The initiative aims to improve retention and graduation rates, increasing the participation of minority and female students in STEM fields and the NYC workforce, thereby reducing socio-economic disparities.

From Spring 2020 to Spring 2024, the project awarded an average of 40 scholarships annually to academically strong and financially disadvantaged students in various STEM programs, benefiting 93 unique students. It also enhanced early research experiences, internships, and provided robust academic advisement and mentoring. Seminars and meetings with STEM professionals expanded …

Board # 414: Nsf S-Stem: Developing An Ecosystem Of Stem Success For Built Environment Scholars, Melanie Villatoro, Muhammad Ummy, Hamidreza E. Norouzi, Masato R. Nakamura, Daeho Kang

Publications and Research

The National Science Foundation S-STEM program, Developing an Ecosystem of STEM success for Built Environment Scholars (Award Number 2150432), focuses on supporting and developing scholars in the majors relating to the Built-Environment which include Civil Engineering Technology, Construction Engineering Technology, Electrical Engineering Technology, Mechanical Engineering Technology and Environmental Control Technology. The intent of the project is to implement evidence-based effective practices and assess the impact of these practices, degree attainment, and entry into the U.S. workforce or graduate programs in STEM. Students are provided faculty mentors and opportunities to engage in cohort building activities that include field trips, research, workforce …

Shaping Future Innovators: A Curriculum Comparison Of Data Science Programs In Leading U.S. And Chinese Institutions, Elizabeth Milonas, Qiping Zhang, Duo Li

Publications and Research

Background: In recent years, the data revolution has sparked widespread interest in Data Science (DS) across numerous fields and disciplines [1]. As society becomes more reliant on data-driven decisions, the demand for professionals equipped to handle data challenges is rising. The need for skilled workers in diverse roles and capacities continues to grow as these demands evolve [2,3]. To meet the demand for skilled workers, training in the latest data science technologies has become a priority in colleges across the US and China. These colleges have established comprehensive data science programs to ensure students graduate with the expertise required in …

Predicting Secondary Mathematics-For-Teaching Knowledge Using Beliefs, Experience, And School Culture: A Hierarchical Regression Analysis, Adam R. Brulhardt

Theses and Dissertations

Research in recent decades has supported the notion that practice-based mathematical knowledge is crucial for effective teaching, playing an important role in enacting reform-oriented instruction required for improving student achievement. Despite its importance, teachers—especially novices—require more support in acquiring such knowledge, an ongoing challenge exacerbated by teacher shortages. The purpose of this quantitative study was to determine whether collaborative school culture (CSC) explained variance in knowledge of algebra for teaching (KAT) beyond variance explained by mathematics-related beliefs and years of teaching experience for U.S. secondary teachers. Measures within an online Qualtrics survey included the Beliefs About Mathematics and Teaching Scale …

Integrating Universal Generative Ai Platforms In Educational Labs To Foster Critical Thinking And Digital Literacy, Vasiliy S. Znamenskiy, Joel Hernandez, Rafael Niyazov

Publications and Research

This study investigates the educational potential of generative artificial intelligence (GenAI) platforms based on large language models (LLMs), such as ChatGPT, Claude, and Gemini, as tools for studentcentred learning. Recognizing the current limitations of GenAI, particularly its propensity for generating inaccurate or misleading information—the paper proposes a novel instructional strategy: an interdisciplinary laboratory designed to foster critical evaluation of GenAI-generated outputs. In this pedagogical model, students engage with GenAI systems by posing questions or solving problems drawn from topics they have already studied and understand. Equipped with correct answers, students are positioned to assess the accuracy and relevance of AI-generated …

Nurturing The Student Voice And Its Creative Power In Mathematics Teaching And Learning: Research With Students On Emotion, Imagination, And Understanding., Luis Adolfo Zambrano

Dissertations, Theses, and Capstone Projects

This research in mathematics education explores the teaching and learning of mathematics at the high school and community college levels, integrating diverse research methods to examine how educators can cultivate a dynamic, collaborative, and responsive classroom climate. Framed by K. Tobin and K. Alexakos’s authentic inquiry education research framework (2020), the methodology actively engages students as co-researchers, valuing their insights and experiences as integral to the learning process. This approach fosters a meaningful dialogue on managing emotional and cognitive challenges faced by students of mathematics while identifying strategies to support and enhance students’ innate imaginative and creative capacities.

Grounded in …

Creative Coding Communities: Exploring The Relationship Between Scratch Use And Child Well-Being, Nikita Khalid

Dissertations, Theses, and Capstone Projects

This international study assessed the relationship between the use of Scratch, the world's largest coding community for children, and child well-being. Specifically, the study focused on the presence of well-being indicators in the RITEC-8 framework (RITEC, 2024) including creativity, relationships, competence, and autonomy within Scratch users’ behaviors. The participants (N = 17,315) included children aged between 8 and 16 who used Scratch in 2023 and came from 29 countries. The study examined trends in Scratchers’ behaviors including project creation, sharing, studio curation, and socialization based on their country of origin, gender and age. The data were used to construct user …

Preservice Teachers As Learners, Designers And Implementers Of Computational Thinking (Ldi-Ct), Line Saint-Hilaire, Daisuke Akiba

Publications and Research

Computational thinking (CT) has gained significant recognition in education in recent years. When considering young children learning CT concepts, it's essential to also assess teachers’ understanding of computational thinking. Therefore, educators in teacher preparation programs must equip candidates with these skills to meet the growing demand for developing students’ digital literacy. This project aimed to understand how to strategically incorporate CT instruction into a teacher education program in the Elementary and Early Childhood Education Department. It focuses on assessing preservice teachers' (PSTs) understanding of computational thinking and their ability to design CT-integrated science lesson plans based on their experiences with …

Math Anxiety And Avoidance Of Mathematics At The College Level: Undergraduate And Their Sense Of Not Belonging In Math Classrooms, Kay C. Lashley

Dissertations, Theses, and Capstone Projects

Negative experiences and perceptions of the subject often influence the avoidance of mathematics at the college level. This study explored this issue by investigating the relationship between math anxiety, belongingness in math classes, and help-seeking behaviors among STEM and non-STEM majors. The study involved 41 participants, including 24 STEM majors and 17 non-STEM majors, all undergraduate college students aged 18 to 54. The results revealed that most students (39 out of 41) felt a sense of belonging in their math classes. Correlation analyses showed a significant positive relation between math anxiety and self-reported math competency, “r(41)= .44, p < .01,” and that higher levels of math anxiety were linked to a greater likelihood of avoiding math classes, “r(41)= .35, p = .02”. Students with lower math anxiety were marginally more inclined to seek help from family or friends, “ X2 (12, N = 42) = 20.1, p = .065”. However, there were no significant differences in help-seeking behaviors between STEM and non-STEM majors. Overall, these findings are consistent with previous studies. Nevertheless, more research and interventions are needed to develop supportive math learning environments at the college level, especially for students with higher anxiety.