and vibration analysis have also been carried out to evaluate theflying cars are promising future transportation systems. They dynamic characteristics [11].can erase traffic congestion by providing on-demand, point-to-point transportation with reduced/zero-emission [1]. Driven by This project aims to design and develop a Jetson One stylethe recent advancements in batteries, motors, and power personal eVTOL aircraft. This paper focuses on the design of aelectronics, and flight control technologies, hundreds of new lightweight frame that is strong and safe for flight. The creationeVTOL projects are in the development stage by many
opportunities structures in vast datasets as in [1] and continuouslyacross multiple domains, including education, it also raises improving through fine-tuning and prompting.ethical concerns around issues such as copyright,misinformation, and bias. This paper explores the potential of Generative AI operates in three phases:generative AI to revolutionize teaching and learning, with a focuson its impact on student outcomes. Through an examination of • Training, to create a foundation model that can serveselective platforms such as ChatGPT, Character AI, Gemini, and as the basis of multiple gen AI applications.Deep Seek, this paper aims to introduce students to thefundamentals of building AI-powered applications
. Many AI-powered educational tools require soft skills that employers seek. As AI continues to shapesubstantial computing power, subscription fees, or institutional the future of work, its strategic integration into engineeringsupport, which may create barriers for students from under- curricula will be a crucial step in preparing students for theprivileged backgrounds. Institutions must consider providing demands of an AI-enhanced workforce.subsidized access to AI platforms or integrating open-sourcealternatives to ensure inclusivity in AI-driven education[8]. R EFERENCES Another major consideration is ethical concerns, particularly [1] A. Alberola, E. del Val, V. Sanchez
-icant results and analysis, followed by the conclusion and futureattention in recent years due to its ability to work in Section 6.capture detailed spectral information across numerous narrowand contiguous spectral bands. This characteristic allows for II. R ELATED W ORKSmore precise identification and differentiation, making HSIa valuable tool in various fields such as bio-medical [1], The field of HSI classification has seen significant ad-agriculture [2], mineral exploration [3], and environmental vancements through various machine learning models aimedmonitoring [4]. However, the high dimensionality and large at
hijack user sessions leading adversarial testing are used. These techniques aim to min-to unauthorized use and data leakages [1]. Common attack imize false positives and enhance the accuracy of vulnera-vectors are session hijacking, where a malicious attacker bility identification [6]. Effective testing frameworks, modelsteals or sniffs away a user’s session cookie in order to gain decision-making transparency, and continuous monitoring forunauthorized access, and session fixation, where an attacker identifying any possible drifts or degradations in performancemaps a user’s session ID to one they know in order to allow are involved in valid evaluation of LLMs. Rigorous cross-them to
decision-makers tools to leverage data for strategic planning, I. I NTRODUCTION and optimum resource utilization, providing the universities International student enrollment in the United States has and the policymakers with intelligence they need to predictsteadily increased since 1948, but COVID-19 travel & student future trends and make educated decisions.visa restrictions caused a slight dip. The data shows thatenrollment began recovering in the 2022/2023 academic year II. L ITERATURE R EVIEWand continues to rise [1]. Predicting accurately these trends According to recent estimates
(AI) has enhance learning experiences. Additionally, concerns over AI’sintroduced transformative opportunities in education, ranging potential to exacerbate existing educational inequities—suchfrom automated grading and intelligent tutoring to person- as disparities in access to AI resources or biases in AI-alized learning and curriculum design [1]. These tools have generated recommendations—underscore the need for inclu-the potential to revolutionize teaching and learning, offering sive and responsible AI policies.educators new ways to enhance efficiency, engage students,and provide adaptive support tailored to individual needs. II. L ITERATURE R
maintaining ainformed the design of AI-related interventions introduced consistent and effective structure. The key components of theduring the course. Further details on the pre-semester survey framework are as follows:can be found in the Results and Findings section. 1) Establish GuidelinesC. Integration of AI Tools. This component establishes the foundation for the eth- AI tools were integrated into the course to enhance learning ical and effective use of AI tools, introduced at theoutcomes while promoting critical thinking and ethical aware- beginning of the course and reinforced throughout vari
C OMPARISON OF AI P OLICIES IN H IGHER E DUCATIONtasks [13]. Research highlights that AI-driven adaptive learn-ing systems can increase student engagement and performance, University AI Usage Policy Privacy Protectionallowing course content to be tailored based on individual Strategylearning patterns [7]. However, the use of AI also introduces Columbia Univer- AI Governance Ethical Usechallenges regarding data privacy and security [3]. Unautho- sity [1] Policy and Institutionalrized access, potential misuse of student data, and compliance
careers. Keywords—ARG Model, retention, undergraduate research • Objective 1: Increase the persistence of Hispanic students enrolled in computer science I. INTRODUCTION and engineering degree programs in their first Fostering Hispanic Achievement in Computer Science and two years of study.Engineering with Affinity Research Group Model (Project • ·Objective 2: Increase the engineering self- 6. To collaborate effectively with a team to solve a efficacy of Hispanic
health foundation by integrating an AI accelerator 'Hailo' [9], which a around the world. For instance, In 2025, wildfires in Los promising result has been achieved for advanced data analysis Angeles devastated neighborhoods, with 7,900 buildings and a vision based system for fire verification, culminating in a damaged in the Eaton Fire [1]. The continuous increase and comprehensive, scalable, robust, and efficient wildfire detection intensity of previously mentioned events, provided and derived solution for humanity. by climate change and altered land management practices, open the door for the development of innovative and robust study for II
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA.Study of microstructure of iron species in plants using X-ray absorption spectroscopy David Lee[1], Mashtura Rahman[1], Shivansh Sharma[1], Michael Ventourat,[1] Julianne Torreno[1], Nealesh Guha[1], Tak Choi David Cheung[1], Guozheng An[1], Sunil Dehipawala[1], Lexi Robinson[2], Harsh Rajapakse[3] [1]Physics Department, Queensborough Community College Bayside, NY 11364 [2]Gateway Community College, New Haven, CT 06510 [3]Chemistry Department, Medgar Evers College
: participation. Ha3: There is a presence of a specific significance within therelationship involving the development of scalablecompetencies involving teacher leadership and OPDparticipation. 1.1 Significance of the Study This study is significant as it will contribute to the existingliterature on the online professional development of high schoolteachers in Saudi Arabia. Understanding the dynamics ofinnovation, the integration of technology, and teacher leadershipin Saudi Arabia’s distinctive cultural and educational landscape Figure 1: Internal versus External Validity Biases as they Relate to Target,can inform strategies that are culturally sensitive and Study, and Analysis
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Atom local environment student research project using Synchrotron X-Ray absorption with training based on open access databases for materials science Mashtura Rahman[1], Shivansh Sharma[1], Michael Ventourat[1], Julianne Torreno[1], Nealesh Guha[1], David Lee[1], Alec Kisselev[1], Tak Choi David Cheung[1], Sunil Dehipawala[1], Harsha Rajapakse[2] [1]Physics Department, Queensborough Community College Bayside, NY 11364 [2]Chemistry Department Medgar Evers College of CUNY Brooklyn, NY 11225 Abstract—This Atom local environment using Synchrotron X- Cyle in life
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. Arduino-ESP32 based Smart Irrigation System Ahmed Hassebo Kevin B. Montes1, and Erick Cabrera2 Electrical and Telecomm Engineering Technology Computer Engineering Technology NYC College of Technology - CUNY NYC College of Technology - CUNY Brooklyn, NY Brooklyn, NY 1 Ahmed.Hassebo10@citytech.cuny.edu
independent and self-directed learning. The keyThermal power (CSTP) systems [1- 7]. Heliostats track the educational values learned through these activities includesun’s movement and reflect sunlight to a specific target, a deep understanding of optics, where students explore lightoften a solar receiver or a central tower, where the reflected reflection, concentration, and sun-tracking systems. Insunlight is used to generate energy. A heliostat system addition, they apply thermodynamics principles to optimizerequires a blend of engineering principles—optics, control energy efficiency and improve sunlight collection. Thesystems, materials science, and mechanical design
, [1]. This increase in tuition has placed increasing financialthe total amount of funds, and the number of students who pressure on college students and their families to find methodsreceived external scholarships, both before and after the to pay for their undergraduate education [2]. Often, manyinitiative was implemented. In this context, four strategies were students turn to student loans and/or part-time employmentidentified to communicate opportunities for external scholarships while attending school to cover the cost of tuition [3].to students: 1) using a department Canvas shell; 2) emailing However, evidence has shown that this can result in aadvisory bulletins; 3) using social media; and 4) placing
Critical Thinking, Digital Literacy, and [1]. It requires clarity and logical reasoning [3]. Cybersecurity Awareness Amid a rapidly changing digital environment, individuals B. Historical Foundations of Critical Thinkingmust function effectively, make informed decisions, and Foundations of critical thinking trace back to Socraticdefend themselves against emerging threats. Blurred work-life questioning, Platonic dialectics, Aristotelian logic, and Johnboundaries, constant digital engagement, and the psychological Dewey’s advocacy for inquiry-based learning, which hestrain of social media contribute to growing mental fatigue. viewed as essential to fostering informed
. Misuse swimming pools, retaining walls, domes, dam linings, isof AI can lead to incorrect decision-making. However, instead of challenging. The author was looking for some advanced topicsconsidering AI as proscribed, it can be utilized in research areas to initiate a civil engineering student research project onespecially developing hypothesis and reviewing literature. To application of concrete in complex structures, which was to begenerate a theoretical or experimental research, the researchers started within a week. The author explored ChatGPT [1] to findmust review a series of technical articles. It takes longer if those some suitable topics. At first it was asked that “Can you listarticles are selected
creativity module made our team more aware of creativeCreatively to Drive Innovation was applied to a senior design thinking, but the module’s activity itself did not havebiomedical engineering design course in which a doctor from any major influence on our strategy. A few critiques we hadthe school of medicine challenged a team of five students to on the KEEN module include:design a pelvimetry model training tool to improve obstetricoutcomes. Pelvimetry is the practice of measuring the 1. The module was very wordy and quite dry. There wasdimensions of a woman’s pelvis to determine the preferred a lot of lecture-like material but not a lot of advice as to howmethod of childbirth
—Artificial intelligence (AI) significantly impacts are widely used today. ITS includes 1-on-1 tutoring,education by introducing virtual assistants for personalized virtual teaching assistants, and adaptive learninglearning and advanced tracking systems for students and systems. AI-powered language learning platforms areteachers. These technological advancements bring notable among the most used tools due to their effectiveness.benefits, such as tailored educational experiences and Advancements in AI enable personalized learning, real-efficient monitoring, but they also raise significant
CodeAcademy [1],generate and provide detailed explanations for code in any Edabit [2], Qualified [3], CodeSignal [4], zyBooks [5], etc.programming language complicates the process of fair These platforms have proved instrumental in automaticallyassessment via automated platforms. This paper illustrates the evaluating students' programming skills, significantlydiscrepancies found in the grades for students' complex reducing the grading workload for instructors. However, withprogramming assignments, graded automatically using one of the advent of AI models like ChatGPT, it has becomeseveral online platforms, when compared to their simpler paper- increasingly challenging to fairly assess
math derivation steps. Our assessment echoed the your ideas and learning to express them clearly” [1]recently reported mechanical reasoning and sensemaking resultsin the use of AI in physics pedagogy, with Computer Vision toemphasis spatial reasoning which plays an essential role in the III. SECOND LEVEL IMPLEMENTATIONproblem solving of rotational motion in daily engineering and To improve conceptual understanding, the followingtechnology examples. Extending heat transfer coverage in pedagogy was deployed. An information pedagogy ofPhysics One to support diffusion models Generative AI is converting assessment in multiple choice question format to andiscussed
expressed in terms of the heads due to hydrostatic pressure, flow rate, height difference, pump, turbine and dissipation [1]: Re: Renolds’ number defined by Re Vd / Q = (d2/4)V: volume flow rate in m3/s P V2 P V2 z hpump z hturbine h f (1) g g in g g hpump: head of pump in m
validate shorter and more creation, or ideation [2], given that digital technologies havedynamic development cycles for a quick refinement of concepts, changed significantly in the last ten years [1]. Designers nowand can provide more fluid communication with stakeholders have the freedom to choose tools and media to communicatethroughout the design process to ensure successful prototype visually, as well as choosing appropriate prototyping todevelopment and client buy-in. The comparison and combination supplement traditional methods [3]. Yet, the importance ofof traditional concept development
not be supported by our college due to the subscription fees.consideration in doing research projects since the COVIDLockdown in our college with the policy pf open admissions. Data fitting using neural network applications would offer aWe found that the Excel based machine learning linear simple hands-on interpretation of training and testing indiscriminant analysis examples were suitable [1]. Merit-based Machine Learning with data [3]. The Python codes followingopportunity student research usually is limited to students with the machine learning lectures of Andrew Ng, founder oftheir GPA above B in STEM courses. The use of the Python DeepLearning.AI, are also available free online [4
) course. The research addresses three corefield's unique challenges and opportunities. This study contributes objectives: (1) evaluating how prompt engineering instructionto the growing body of knowledge on AI education and offers impacts students’ AI proficiency and problem-solving skills, (2)practical insights for educators aiming to enhance student identifying discipline-specific barriers to teaching the skill, andlearning outcomes in an AI-driven world. (3) proposing adaptable best practices for educators across fields. By comparing computational and engineering cohorts, Keywords—Prompt engineering
? 1. Demographicstechnological advancements and develop proficiency intheir application. This need for skill enhancement is not What is your major within the engineeringrestricted to the use of the technology itself, but extends department?to understanding the implications of AI on the learning What year are you currently in?environment (Johnson et al., 2023). Have you taken any courses that include AI Additionally, the work by Miranda et al. (2021) tools or methodologies?suggests that to fully harness the potential of
-programmed Engineering education is undergoing a major shift with the rules; they could not create new, contextually relevant content.advent of Gen AI technologies. Gen AI refers to AI systems(such as Large Language Models (LLMs) and generative The past few years have seen a transformative leap withimage models) that can produce new content, ranging from the rise of Gen AI models. Unlike earlier AI, Gen AI canhuman-like text to designs and simulations, based on patterns produce original text, images, code, and designs in response tolearned from vast datasets [1]. While AI has been used in prompts, enabling far more interactive and creativeeducational settings for decades, recent breakthroughs in
, and is discussed in the body of this paper. The presentations, and other compositions, which is the subject ofassignment allowing the most extensive use of AI was called the much ongoing discussion and debate [1, 2, 3].Expert Seminar for which students were commissioned to create Generative AI has been simultaneously transformative anda scholarly research-based presentation on a human-systems disruptive in the educational domain. Along with AI’sintegration topic and deliver it to the class with a planned emergence