those from technical institutions, benefit more from Abstract - Project Based Learning (PBL) has emerged as hands-on experiences where they can see, hear, and a transformative methodology in engineering and interact with concepts in real time [1]. For example, if technology education, addressing the evolving needs of students in a CNC machining course only learned how students and the demands of modern industry. By to write G-code without ever seeing how the machine immersing students in real world challenges, PBL executes it, their understanding of CNC mechanisms enables them to design, implement, and evaluate solutions while developing critical technical and
2025 ASEE Northeast Section Conference, Mar. 22, 2025, University of Bridgeport, Bridgeport, CT, USA. A color-based image analysis tool used for engineering education and its potential application for AI training Priscilla C. Fonseca Riley Popp School of Computing and Engineering Cockrell School of Engineering Quinnipiac University University of Texas Hamden, CT USA Austin, TX USA pcfonseca@quinnipiac.edu rwp632@my.utexas.edu Abstract—If a civil
. Jossey-Bass, 2010.Your excellence and dedication have been a true source of [24] M. J. Keane and R. L. Thorp, “Data Analytics for Nonprofits: Bridginginspiration, motivating us to continue striving with projects the Gap between Technology and Mission.” Nonprofit Management and Leadership White Paper, 2021.such as this one that have an impact. Appreciation for giving [25] J. S. Gagliardi, A. Parnell, J. Carpenter-Hubin, B. Means, and C. Barone,us such a wonderful example of teamwork and excellence. “The analytics revolution in higher education: Big data, organizational
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. Artificial Intelligence Assisted Physics Pedagogy for Engineering Technology Students Sunil Dehipawala, Guozhen An, Arkadiy Portnoy, Tak Cheung Physics Department CUNY Queensborough Community College New York City USA Abstract—The Artificial Intelligent Large Language Models Biology Department in our community college is offeringof OpenAI.com have been used in physics courses in the ABET
study EV adoption are diverse butArticles were critically evaluated for their application of underexplored. Many studies rely heavily on quantitativebehavioral theories, their methodological rigor in study designand analysis, and their practical relevance to real-world methods, with limited use of qualitative and mixed-methodchallenges. Specifically, the review assessed whether the studies approaches[8]. These gaps delay the development of effectiveeffectively utilized established behavioral theories (Theory of policies and strategies to promote EV adoptionPlanned Behavior, Technology Acceptance Model, and Theory of comprehensively.Reasoned Action) to
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. An Educational Approach to Best Practices for Improving Operational Analytical Data Integration Success Zannatun Nayeem Tauhid Uddin Mahmood Dan Tenney Analytics and Systems, School of Analytics and System, School of Technology Management, School Business Business of Engineering University of Bridgeport University of University of Bridgeport Bridgeport, Connecticut, USA
A. Artificial Intelligence in Education (AIED)perspective of technology management. Drawing oninterdisciplinary insights from cybersecurity, policy, and Generative AI received widespread attention in recentmanagement, this study proposes an integrated framework that years, and educators have had to address its impact quickly.guide institutions for strategic AI adoption. The proposed Teachers and school administrators now face two criticalAIOEP is based on Open Educational Practices (OEP) and uses questions: Should generative AI be banned, and should schoolsFree and Open-Source Software (FOSS) as its educational adopt tools to detect its use by students? According tofoundation. With
toabout the role of AI tools in clarifying complex concepts, assisting prepare students for future job markets [5]. A recent review ofwith homework and assignments, and reviewing lecture various educational tools and research papers revealed that thematerials. Additionally, the survey investigated students’ relianceon AI tools for accurate information, their use in exploring technology is generally able to provide solutions for diverseadvanced topics, and potential drawbacks such as over- learning styles and abilities. The tools enhance collaborationdependence on AI resources. These insights
objectives. The author has included in an End Note “A copy ofIntelligence in particular create opportunities and challenges for the Technology in Education Guidelines for these classes.”the engineering education ecosystem. AI presents a uniquedisruption in the way that students acquire knowledge in the A word about the nomenclature of assignments,classroom and apply that knowledge afterwards. This paper assessments and activities for the purposes of this study. Thesefocuses on graduate level project and process management classes generally use a mixture of assignments, assessments,classes that have been taught before AI and will continue to be and activities. They are often interconnected as theytaught to
: vaginal or cesarean section. For this to implement or examples of how these activities were to bepractice, the pelvis is palpated through the vagina to feel for the used. We felt it was overall a bit hypocritical andbony landmarks associated with pelvic dimensions. The counterintuitive to be describing creative processes in justsequence and accuracy of hand placement are essential to the words.correct practice of pelvimetry. 2. It should overall be more interactive and should Currently, medical educators lack a model that can require the physical presence of all members. We felt that asimulate the most important aspects of pelvimetry so that
and to suggestwhile augmenting human analytical thinking, creativity, and pathways for utilizing this technology to improve learningethics. Finally, the paper proposes strategic implications for while maintaining academic standards.future educational policies, emphasizing artificial intelligenceliteracy among teachers and students, the necessity of a flexible II. EVOLUTION OF GEN AI IN ENGINEERING EDUCATIONcurriculum, and redefining teacher roles in AI-supportedlearning environments. The use of AI in the education field is not new— one of the early intelligent tutoring systems and algorithmic training
address the A. Intelligent Tutoring Systemsuniversity teaching and learning process in academicenvironments. This study primarily focuses on the use of Intelligent tutoring systems (ITS) are one of the mostArtificial Intelligence in facilitating collaborations among prominent applications of AI in education. These systemsstudents, intelligent VR-based tutoring systems, utilize AI algorithms to offer personalized, real-time feedbackcontinuous automated student assessments, and virtual and adaptive learning to students. For example, Carnegieclassroom experiences with real-time views of topic Learning’s MATHia employs AI to provide individualizeddiscussions. Along with that
challenges. phasized the importance of addressing AI’s role in educationTheir perceptions, trust, and willingness to adopt AI tools play proactively rather than restricting its use. Their recommenda-a crucial role in determining the trajectory of AI’s integration tions advocate for structured policies that maximize AI’s bene-into higher education. fits while mitigating risks, ensuring ethical considerations are Despite AI’s growing presence in academia, instructor integrated into AI-driven educational tools. Similarly, recentreadiness and attitudes toward these technologies remain un- studies argue that AI presents an opportunity for much
Preserving Student Privacy While Leveraging Generative AI in Higher Education Tariq A. Alshugran Lina H. Kloub Independent Researcher School of Computing Connecticut, USA University of Connecticut Storrs, CT, USA Abstract—The integration of Generative Artificial Intelligence Regulatory bodies worldwide are increasingly scrutinizing(GenAI) in higher education offers significant opportunities for the use of GenAI in educational settings. The temporary
[35]. There is a gap inentrepreneurial success and integration into NSPs. entrepreneurship education for women and misalignment Many reasons prompted the researcher to conduct this between educational outcomes and market demands [36].research, including the continuous development of Many lack technical, administrative, and financial skills,entrepreneurship and the increased use of social networking limiting their ability to develop creative business ideas [37].sites in Saudi Arabia. There is an urgent need to develop Women also have limited access to knowledge and financialwomen's entrepreneurship amid economic and cultural
development courses in supporting technologyC. Problem Statement integration and teacher leadership development The use of technology within the sector of education has within the socio-cultural environment of Saudibeen identified as one of the critical factors for increasing the Arabia. Technology integration refers to theefficiency and instructional effectiveness along with the overall effective use of digital tools to support curriculumoutcomes of education. The presence of OPD or ‘Online delivery, while teacher leadership
-bit code. The can also develop problem-solving skills as they search for thesystem contains two user consoles—switchboards for player best algorithm to deduce their opponent’s 4-bit code. Throughinteraction—and a central computing unit consisting of four troubleshooting and refining their guesses, they are able tointerconnected digital circuits that drive the LED outputs. The analyze the logical structure of the circuit. Understandingtheoretical foundation is based on Boolean algebra, with four digital electronics is critical for understanding many advancedsum-of-products expressions generated and simplified using technologies. Educational tools like this project act as stepping-Karnaugh
educators have entered theacquire new skills for generating prompts, evaluating AIoutputs, and understanding appropriate uses. Exploring era of AI. AI brings benefits and challenges, as did pastAI's ethical, social, and educational implications is essential transformative technologies such as the printing press,for successful integration. Despite the numerous telephone, and the Internet [2]. AI helps educators designadvantages of AI, it raises significant concerns about data customized courses and introduces new technologicalprivacy and educational inequity. Teachers must effectively solutions that enhance teaching and learning methods.use AI to
channel was used? How were problems solved? were part ofdon’t share is their metric for success. Higher education their assessment when writing down the notes.defines success through mastering theories and passing exams.Industry values technical and practical knowledge, the ability The results of this case study offer insights for universities looking to implement interdisciplinary initiatives, fosteringto adapt and solve problems. This disparity in measuring collaboration and better preparing graduates for cross-success makes it harder to prepare graduates for
prepare students for future and reinforce professional behaviors during a crucial stage ofemployment and lifelong learning. The career readiness their education.competencies, as identified by the National Association ofColleges and Employers (NACE), encompass key skills such ascommunication, critical thinking, teamwork, leadership, II. BACKGROUNDprofessionalism, technology, equity and inclusion, and career andself-development. While first-year design and senior capstone The Statics course is a fundamental requirement forcourses often emphasize professionalism, there is a notable gap in students in Civil, Environmental, Mechanical, and Biomedicalsuch education for
. SLO#6: Use systemic approaches Assessment questions: to select, develop, apply, 1. Generative AI operates in three phases. (Utilize application) Advanced Application integrate, and administer secure computing technologies to accomplish user goals.Deep Seek is a promising AI ChatBot for coding assistance, However, the integration of generative AI in education raisescapable of producing effective solutions as in [1] with some ethical concerns, including data privacy, algorithmic bias, andguidance, besides other real world AI education platforms academic
tools, such as adaptive feedback systems,hance students’ communication, problem-solving, and teamwork collaborative platforms, and virtual learning environments,abilities. By examining the growing role of AI in education andits alignment with NACE competencies, this research highlights have the potential to enhance students’ learning experiencesits transformative potential in preparing students for successful by offering personalized instruction and real-time feedback,careers in engineering. helping them develop the skills needed for career success. Index Terms—AI, Artificial Intelligence, NACE, career com
artunderstandings of art. Today, artists are playing with machine- under a technological influence?learning algorithms and data to develop new multimedia formsof expression, augmenting their creativity and the creative VI. THE ART WORLDprocess. These discussions have become particularly relevant in the art world, where AI is now shaping both the production of artworksand the curation of museum and gallery experiences. Despite For future research, we will design a study using thematicAI’s rapid growth, its true impact on creativity remains analysis to measure the
toward AI tools. This survey explored students’ through the integration of AI across various course compo-familiarity with AI technologies, such as ChatGPT, and their nents, this framework serves as a flexible guide that can beprevious use of these tools in academic settings. Additionally, adapted and applied to courses across different disciplines.the survey aimed to understand students’ perspectives on the Grounded in the Universal Design for Learning (UDL) frame-educational potential of AI tools, their perceived benefits, work, which emphasizes inclusivity, accessibility, and adapt-and any concerns they had about their use in coursework. ability in education [6], this approach ensures that AI
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
development, further research is required to address regional Government policies play a pivotal role in shaping disparities, technological advancements, and industryworkforce development within the EV sector. Several studies collaboration challenges. By integrating policy support,have analyzed the impact of policy frameworks on training educational innovation, and industry engagement, the U.S.programs, noting that incentives and funding allocations can effectively equip its workforce to transition to electricsignificantly influence workforce preparedness [13]. The mobility [25].NEVI program's implementation from 2022 to 2026 hasprovided a strategic roadmap for states to integrate technician
usedallowing designers to iterate quickly and efficiently. Despite [16]. One way of completing a sequence is to start withthis, human intervention is still necessary to refine and validate beginner prompts with minimal experience, and then addAI-generated outputs [10], but technology frees designers from subsequent and specific sub prompts, to refine responses astime-consuming tasks. For example, an automotive OEM used needed. A different method is to treat the whole process as aAI to create 25 variations of a next-gen car dashboard in just thoughtful experimentation, asking AI various questions, and iftwo hours, a task that would have taken a week without AI. it makes a mistake, provide additional
LLMs, such as OpenAI’s GPT series, and xAI’s GROK results.excel at tasks such as text completion, question answering, The following questions the team needs to ask themselvestranslation, summarization, and even creative writing. Their before beginning the AI-LLM:ability to comprehend and generate relevant, context-specificresponses has made them versatile assets in many sectors, - “What materials are appropriate for the design of thisincluding education, science, technology, engineering, part? And while we might not know every materialmathematics, and the arts [4]. By simulating a level of natural available, we can help guide the query away fromlanguage
the successful adoption of AI in healthincreasingly being used to address critical challenges in various professional education [3]. Trust in technology has beenaspects of healthcare, from diagnostics to therapeutics. While AI investigated from a psycho-physiological perspective acrossoffers immense potential to improve clinical decision making, the diverse domains from driving simulation to virtual reality andtrust of intended users (e.g., nurses and physicians) inthese systems remains largely unexplored. This study collaborative robotics [4], [5], [6]. Yet, a significant gapaddresses the gap in medical education by investigating how
. presentation slides and/or websites to relay information. At theWe routinely have approximately 93% of the BBEST students completion of each workshop, we conclude with a summaryin attendance using either in-person or hybrid (Zoom meeting) round-robin asking the students what they found the mostoptions. To encourage in-person attendance, the Maine valuable part of the workshop theme. A representative list ofCollege of Engineering and Computing (MCEC) Dean’s student workshop themes and activities is found in Fig. 2. Fig. 2 Key topics of workshops and representative topics presented for each of the topical areas