Collection

2025 Northeast Section Conference

Authors

Sunil Dehipawala; Guozhen An; Arkadiy Portnoy; Tak Cheung

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

Collection

2025 Northeast Section Conference

Authors

Chushun Wang; A. Umit Coskun; Kai-tak Wan

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

Collection

2025 Northeast Section Conference

Authors

Jorge Paricio Garcia; Paul Spirito

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

Collection

2025 Northeast Section Conference

Authors

Sunil Dehipawala; Guozhen An; Arkadiy Portnoy; Tak Cheung

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

Collection

2025 Northeast Section Conference

Authors

Mohamed Elwakil; Tooran Emami Ph. D.

) 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

Collection

2025 Northeast Section Conference

Authors

Seyedeh Elham Kamali; Reihaneh Samsami

? 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

Collection

2025 Northeast Section Conference

Authors

Kalyan Khatry; Reihaneh Samsami

-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

Collection

2025 Northeast Section Conference

Authors

B. Kris Jaeger-Helton

, 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

Collection

2025 Northeast Section Conference

Authors

Terri A. Camesano; Elizabeth Wilson; Valerie Smedile Rifkin

2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. WPI Systems Engineering Awareness Digital Badge Program Pilot program in Micro-credentials Terri A. Camesano1, Elizabeth Wilson2, Valerie Smedile Rifkin3 1 Graduate and Professional Studies & Chemical Engineering; 2Systems Engineering Program; 3Academic Technology Center Worcester Polytechnic Institute Worcester, MA 01609 terric@wpi.edu Abstract— Worcester Polytechnic Institute (WPI) has a

Collection

2025 Northeast Section Conference

Authors

Shinae Jang P.E.

assessments, and self-reflections. Seating assignments areTechnology (ABET), and others [[1]-[5]]. However, a key randomized weekly, with an updated seating chart posted byquestion remains: how should we effectively teach Wednesday morning so students can check their tableprofessionalism within the engineering curriculum? This skill assignment before Thursday’s session. Each team consists ofis not only crucial for students' future employment but also for three students, with two teams sharing a table, fostering peertheir lifelong learning and career advancement. interaction and cooperative problem-solving. The National Association of Colleges and Employers The

Collection

2025 Northeast Section Conference

Authors

Susrutha Babu Sukhavasi; SUPARSHYA BABU SUKHAVASI

effects. The researchstudent assessments and evaluations. Advancements in AI is organized into three main sections: (1) AI in classrooms, (2)in education have brought sufficient capabilities to AI in learning management systems, and (3) AI in pedagogical strategies.transform the traditional educational system overview.Over the past few years, various applications have beendeveloped and adopted to monitor the students’ learningand provide effective strategies to enhance the learning II. AI IN CLASSROOMS: TRANSFORMINGperformance and experience to the students. Different TEACHING AND LEARNINGframeworks and policies are proposed to

Collection

2025 Northeast Section Conference

Authors

Rachmadian Wulandana

professional realm, ChatGPT's applications haveIn March 2023, OpenAI released GPT-4, enhancing ChatGPT's expanded significantly. Businesses have adopted the AI forability to understand and generate human-like text [1]. This customer support, content creation, and automation of routineversion introduced multimodal capabilities, allowing the model tasks [10]. Healthcare acknowledges ChatGPT's humanisticto process both text and images, thereby broadening its writing, but accuracy concerns persist. Research offers hopeapplication scope. Further developments led to GPT-4o in for future improvements [11,12,13]. Its integration into officeMay 2024, integrating text, image, and audio processing, and

Collection

2025 Northeast Section Conference

Authors

Alex Peebles

Mechanisms to help satisfy ABET student outcome with ourDistrict of Columbia, typically taken in the junior year after the specific performance indicators 1-B “Apply mathematicalcourse pre-requisite Engineering Mechanics II (Dynamics). principles (from calculus and differential equations),Students work to understand the function of various mechanisms(e.g., four bar linkages, slider cranks, and cam-followers), while demonstrate competency of performing analytical andcontinuing to develop their ability to perform kinematic and numerical solutions, and appropriately apply scientifickinetic calculations to analyze and design mechanical systems. principles to

Collection

2025 Northeast Section Conference

Authors

Marvin Gayle; Danny Mangra

model and develop solutions to real[1]. Massachusetts Institute of Technology [MIT] also world problems. They also became methods to developintroduced labs as a part of their normal curriculum in 1861 virtual experiment solutions that successfully tracked,[2]. This early introduction of first-hand knowledge was a modeled, and predicted real world behaviors [5]. Inquiry-Based Learning (IBL) and Problem-Based 21st Century (2000s – Present) Smart Labs and Digital Learning (PBL) allow students to develop critical thinkingTransformation. This new era leveraged newer technologies skills and allow students to apply the theoretical

Collection

2025 Northeast Section Conference

Authors

HughHugh L. McManus; B. Kris Jaeger-Helton

these activities to be helpful to team building. The semesters on complex open-ended projects. In Capstone 1,effect of the team-building activities was confounded with many offered in summer and fall terms, teams form, define theirother factors, so the correlations were noisy, and more data is problem, and plan their project. After a break, teams reunite inrequired to establish statistical significance. The intensity of the the spring term for Capstone 2, when the project is carried outteam building activity was found to be strongly affected by the [5]. This paper explores methods used to help bond new teamsemphasis placed on it by

Collection

2025 Northeast Section Conference

Authors

Peter F. Cavanaugh

, reasoning can ensure that AI acts as a learning aid analyzing, evaluating, and creating [1]. AI may assist rather than a substitute for learning. In my experience, with lower-order cognitive tasks, such as students engage more deeply when asked to critique summarization and information retrieval, but higher- AI-generated insights rather than passively accept order thinking skills, such as evaluation and creation, them. Encouraging students to challenge AI outputs must be fostered through carefully designed helps them develop sharper critical thinking skills. assignments that challenge students to critically engage By

Collection

2025 Northeast Section Conference

Authors

Chushun Wang; Mohammad E. Taslim; Kai-tak Wan

recording of the resonating droplet allows one todetermine the mode number (or number of equatorial lobes) atcharacteristic frequencies which depends on the fluid viscosity,surface tension, and droplet size. Since the mixture is immiscible,the surface wave is distinctly different from the pure liquid, andthe resonance frequency falls in between the values of purecomponents. Keywords — droplet, acoustically levitated, harmonic resonance I. INTRODUCTION A standing acoustic wave is set up between two identicaland symmetric hemispherical dishes with arrays of sonictransducers installed, generating alternating high antinodes andlow-pressure nodes along the axis [1-5]. A pipette delivers adroplet to a low-pressure node at

Collection

2025 Northeast Section Conference

Authors

Basile Panoutsopoulos

of a course on “Scientific andmethods and software that enable machines to perceive their Engineering Programming Using C++” is examined. It is aenvironment and use learning and intelligence to take actions transformation from a typical programming course to a coursethat maximize their chances of achieving defined goals [1]. where the use of AI is welcomed and encouraged. Similarly, artificial intelligence (AI) is the ability of a AI can provide pseudocode and flowcharts. The text modedigital computer or computer-controlled robot to perform tasks flowchart was fine, but the graphical one was a disaster. AI cancommonly associated with intelligent beings [2]. provide computer programs that are

Collection

2025 Northeast Section Conference

Authors

Karissa Tilbury; Mohamad Musavi; Cary James; Alex Friess

students in STEM disciplines. UMaine launched The Bureau of Labor Statistics projects a 3.9% growth ratethe NSF S-STEM funded Building Bridges to Engineering of engineering professionals in the United States over the nextStudents (BBEST) a program in 2023 to serve students studying 8 years. Furthermore, engineers enjoy the second lowestin any of the 12-ABET accredited engineering programs. We unemployment rate (2.5%) of all occupations [1]. More locallyhave recruited two of our three student cohorts and have foundthat monthly professional development workshops are an in Maine

Collection

2025 Northeast Section Conference

Authors

Paul Cotae; Nian Zhang; Onyinye Obioha-Val

associated with these threatspredictions and inaccurate results. We propose in this paper a and contributes to overall public safety.decision-making framework for addressing imbalanced learningproblems in standoff detection of threat chemicals. Our goal is to The method used in [1] to conduct experiments is safe, bothformulate a decision-making framework where detection to humans and the environment, and it will be able tothresholds and confidence scores are optimized to minimize false differentiate between the explosive and harmless backgroundnegatives, using Synthetic Minority Oversampling Technique chemicals. To achieve this purpose, Eye-safe infrared laser(SMOTE) and Random Forest training

Collection

2025 Northeast Section Conference

Authors

Dinh Cuong Nguyen; Gregory Lovisolo; Dan Tenney

Employee attrition, commonly referred to as employeeintegrates MLX techniques to offer deeper insights into model turnover, represents a persistent challenge for organizationsbehavior. across industries [1] [2]. High turnover rates suffer significant financial costs, including expenses related to recruitment, Key MLX methods applied include Feature Importance, training, and the loss of knowledge and skills within thePartial Dependence Plots (PDPs), LIME (Local Interpretable company [3], [4]. Furthermore, employee attrition can disruptModel-agnostic Explanations), and ICE (Individual

Collection

2025 Northeast Section Conference

Authors

Uma Balaji

1.7GHz, and the ADALMprocessing vi) design and test modulation and detection Pluto [5], which supports frequencies up to 6 GHz, providecircuits using appropriate electronic components and devices. affordable options for university laboratories.These objectives align with ABET student outcomes 1, 6, and7, ensuring solid foundation in technical knowledge, Students enrolled in this course have prior experience withexperimentation, and engineering tools for communication MATLAB programming from an earlier course in thesystems. program. While Simulink is not part of that course, this course

Collection

2025 Northeast Section Conference

Authors

Yegin Genc; Gonca Altuger-Genc; Akin Tatoglu

traditional resources such as textbooks, old class notes, and Technological developments have long been integral to scholarly publications, and as technological advancementspedagogical developments in engineering education [1], [2], [3]. became part of our daily lives, non-traditional resources such asSimilarly, the recent advances in Artificial Intelligence have Facebook or LinkedIn have been used by learners. Altuger-offered many opportunities to augment learning experiences [4], Genc [14], [15] presented an implementation and assessment[5], [6], [7]. For example, using large language models (LLMs) study of self-directed learning modules via Facebook andcan help students easily articulate their

Collection

2025 Northeast Section Conference

Authors

Priscilla C. Fonseca; Riley Popp

]. This work also combined the use of Multispec for image tors such as cracking and the presence of internal swelling segmentation, which was then used in the model training. around aggregates [1], [2]. Traditionally, a petrographer uses Prior work by the first author focused on analysis of air voidsystems of concrete and mortar specimens by thresholding TABLE Igrayscale images, which were then analyzed as a binary F RACTION OF EACH COLOR OF THE TEST SAMPLE SHOWN IN F IGURE 1.system [14]. We have expanded on this work by develop- Color Predicted Segmented Erroring a color

Collection

2010 ASEE Zone 1 Conference

Authors

Vijay Kanabar; Virginia Greiman; Jim Cormier

half describes the design and execution of three online projectmanagement courses, detailing the curricula and techniques utilized to encourage collaboration anddiscussions amongst students. We also include a special section that illustrates teaching projectmanagement through case studies. In each case, we describe the pedagogical approach and curriculumused to encourage collaboration and create an effective learning environment. The paper concludes with anarration of the challenges that remain when teaching online. The research results and experience sharedin this paper will provide invaluable assistance to faculty and course designers interested in creating anonline course. 1. IntroductionBefore we describe our experience with

Collection

2010 ASEE Zone 1 Conference

Authors

Suxia Cui; John Fuller; Pamela Holland-Obiomon; Warsame H. Ali

perpetrated by an individual or group of terrorists. Detection and prevention of thesenuclear devices are critical to the safety and security of the general population.In order to meet the needs of national security, the NNSA sponsors PVAMU engineering facultyon the research and educational program entitled “Sensor and Detector Applications to NuclearMaterials” starting in 2006. PVAMU is a member of the Texas A&M University system, andalso a member of the Sam Massie Chair of Research Excellent Program which includes tenHistorical Black College and Universities (HBCU). The project consists of two aspects: 1)Research the application of sensors to nuclear detection; and 2) Training for undergraduate andgraduate students as well as high school

Collection

2010 ASEE Zone 1 Conference

Authors

Ross McCurdy

in the repair of one of our BallardAirgen 1 kW fuel cells. After using the Ballard Airgen at a GovEnergy Conferencedemonstration the fuel cell would not work the next time an attempt to use it was made. UsinglabVIEW again a diagnostics test was run on the Airgen and we were able to get it running 6again. Digital manipulation of the Alltrax EV controller through a laptop is also required to setthe system. Working with these systems it is clear that knowledge of digital systems is essentialfor the 21st Century engineer and the use of CAN, labVIEW, and other computer programs willbe necessary engineering tools.Acknowledgement The

Collection

2010 ASEE Zone 1 Conference

Authors

B. Samanta

haveunique ability to learn and adapt to new situations utilizing the processes of generalization,abstraction and association with inspirations from nature [1-19].There are main five paradigms of CI algorithms, namely, (1) neural networks (NN), (2)evolutionary computation (EC), (3) swarm intelligence (SI), (4) fuzzy systems (FS), and (5)immunological computation (IC). The wide range of CI algorithms from these paradigmsinclude: (1)- artificial neural networks (ANN); (2)-genetic algorithms (GA), geneticprogramming (GP), differential evolution (DE); (3)- particle swarm optimization (PSO), antcolony optimization (ACO); (4) fuzzy inference system (FIS); and (5)- artificial immune system(AIS), clonal selection algorithm (CSA). ANNs have been developed in

Collection

2010 ASEE Zone 1 Conference

Authors

Charles Thomas; Loren Byrne; Jeremy Campbell

-taught by the authors. A description of the planning process anddelivery of the course is given in a following section. First, we present results of a survey ofsimilar introductory courses for minors at other institutions.The Association for the Advancement of Sustainability in Higher Education (AASHE) keeps alist of sustainability programs of its member institutions[1], including a list of minors. It is thislist on which we base our survey. Certainly it is not an exhaustive list (for example, since RWUis not, as of this writing, a member of AASHE, our program does not appear there), but weconsider it a good indication of what types of programs are in existence throughout the U.S.Of nineteen the programs listed, about half include an

Collection

2010 ASEE Zone 1 Conference

Authors

Wei PAN; Yingbin Shi; Jeremy Li

especially forcurrent college student majoring in manufacturing, in the field of mechanical engineering.Besides pursuing automating assembly process planning, this research also investigates theeffectiveness of assembly simulation as a project for groups of graduate students by usingcomputer-aided design. Student can view assembly simulations through Pro/E software. Theresearch was accomplished by reviewing process plans from different groups of graduatestudents and presents the best result to establish a baseline of process plan complexity, whichshows huge gaps between college study and current leading manufacturing industry.1. IntroductionIn classroom lectures, we not only learn how to do design in the pro/Engineering simulationsystem, but also