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

2025 Northeast Section Conference

Authors

Lina H. Kloub, University of Connecticut; Vraj Patel; Tina Huey

(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

Collection

2025 Northeast Section Conference

Authors

Lina H. Kloub, University of Connecticut

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

Collection

2025 Northeast Section Conference

Authors

Tariq A. Alshugran; Lina H. Kloub, University of Connecticut

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

Collection

2025 Northeast Section Conference

Authors

Navarun Gupta; Deana DiLuggo; Junling Hu; Abhilasha Tibrewal; Ahmed Elsayed; Theresa Bruckerhoff

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

Collection

2025 Northeast Section Conference

Authors

Mina Gaber Wahba Ibrahim; Xingguo Xiong; Navarun Gupta; Ahmed El-Sayed

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