FUTURE DIRECTIONSMechanical Engineering curriculum. Some of the results from The biggest limitation in the current implementation of thisthis survey are presented in Figure 5. Four of the students course is the lack of open-ended design problems. Whilestrongly agreed that the course increased their level of students currently get a lot of practice with analyzing thepreparedness for becoming an engineer, while one agreed and kinematics and kinetics of mechanisms, they do not see manyone was neutral. I think this is a very positive outcome, seeing problems which task them with designing a system to produceas Mechanisms is a rather difficult course. I believe confidence desired results. The only
Infrastructure (NEVI) program from 2022 to2026. Through qualitative thematic analysis of nationwide state As states implement NEVI funding, varying readinessrepresentatives' perspectives, the study identifies key strategies, levels to train EV technicians emerge, revealing gaps inchallenges, and regional variations in workforce development. strategic planning, budget allocation, and stakeholderThe findings underscore the essential role of skilled technicians engagement. Some states have actively integrated EV-relatedin facilitating the rapid growth of EV adoption and supporting training into community college curricula and partnered withcharging infrastructure. While some states have established industry
by a stepper motor, ensuring controlled drugyet to create practical implementations that integrate CNN- delivery at a calculated rate:LSTM methodology with real-time therapeutic systems forpersonal treatment, which follows standard seizure detection Q = RP M × V (2)approaches described in [23] and [24]. An integrated system delivers VNS technology with a CNN- Where: - Q is the flow rate in mL/min, - RP M is the motorLSTM model and drug delivery systems as one functional unit. speed in rotations per minute, - V is the volume displaced perSeizures are detected through ECG motion data entry with revolution.real-time detection and adjustable intervention responses that
PSI, Having presented the LLM system with our constraints, the which is relatively low but still needs to ensure integrity LLM suggested a T6 temper 6061 aluminum alloy for the under the conditions. project. It should be noted that multiple alloys were presented Corrosion Resistance: Since the manifold will come into by the LLM in its unabridged response, highlighting the contact with fuel and oils, the alloy should have good strengths and weaknesses of each alloy. It was then confirmed resistance to corrosion, especially in the presence of by the team that 6061 is an
misinformation, over-reliance on technology, academic paradox highlights the complex and evolving nature of instruc-dishonesty, algorithmic bias, and data privacy. These findings tor perspectives on AI adoption.highlight the necessity of transparency, ethical AI development,and regulatory oversight to build trust. Addressing these chal- Building trust in AI tools is a crucial factor in theirlenges is vital for successfully integrating AI into education, successful implementation. Studies have shown that trust infostering an inclusive and dynamic learning environment. This AI among educators depends on multiple factors, includingstudy offers valuable insights for future research and practice
goals and the collaborative nature of two Career Readiness modules were integrated into the coursethe planned activities. Since engineering problems often as extra-credit opportunities on the Blackboard site. Theserequire collective problem-solving and clear communication modules, developed by our institution’s Center for Careeramong team members, integrating these skills into the Readiness and Life Skills, include the Career & Self-curriculum helps students develop essential professional Development module and the Networking and Elevator Pitchbehaviors early in their education. The course structure, which module. Upon completing both modules, students earn oneincludes weekly team-based problem
students atIntegration in Engineering Education the University of New Haven has provided initial insights A significant number of responses indicated a lack of into how AI technologies are currently used within thesuggestions or contentment with the status ("No," engineering curriculum. The feedback reveals a careful"N/A"), which may suggest either a satisfaction with the optimism about the role of AI in enhancing educationalcurrent integration of AI or a lack of engagement or outcomes, provided it is integrated thoughtfully andawareness about how it could be further enhanced. responsibly. Several respondents highlighted the need for AI to be
mimic some of the roles of a human tutor— such as hints for improvement [7]. The integration of AI-drivenproviding instant feedback, curriculum planning, content assessment tools also supports competency-based education,recommendation, automated grading and assessment, virtual where evaluations focus on a student’s ability to applyassistance, or creating custom learning materials at an concepts rather than on rote memorization. By continuouslyunprecedented scale, as shown in Fig. 1. monitoring progress and adapting to a learner’s needs, AI helps to create a more holistic picture of student
Innovation, is available tostudents through the University’s primary online course content Novel designs require an integration of psychology,site. Designed to help foster innovation in design, the module sociology, biomechanics, emerging health care needs andhelps bring awareness to the processes that engineers typically go functional design to address differences in human capabilitiesthrough to solve a problem. For this investigation, the Integrated and daily needs. Real life examples serve as an introductoryE-learning Module was applied in a senior biomedical guide for designers as they define individual population groupsengineering design course. The course challenged a team of five and
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Exploring Student Use of AI Tools in Heat Transfer and Finite Element Analysis Courses Rachmadian Wulandana Mechanical Engineering Program State University of New York (SUNY) New Paltz New Paltz, NY wulandar@newpaltz.edu Abstract— This study explores how students in Heat Transfer California State University to roll out an education-specificand Finite Element
A. Pilot Execution WPI conducted a market analysis to determine the The program was launched with an initial cohort ofdemand for SE awareness training. The findings indicated a professionals, graduate students, and corporate trainees.strong need for introductory SE courses, particularly for Marketing strategies included direct outreach to companies,professionals in interdisciplinary roles. Companies expressed social media campaigns, and integration with WPI’s continuinginterest in structured, modular learning that
multidisciplinary approach aligns well with STEM problem solving. Despite its advantages, implementing education, where hands-on learning is a critical PBL poses challenges. Resource demands, assessment component in fostering engagement and improving complexities, and the need for faculty training can hinder retention [4]. An illustrative example comes from a its adoption. Successful integration requires institutional dynamics course where students struggled with pulley commitment, collaboration with industry, and robust systems. Initially, the concept remained abstract despite evaluation models. Blended learning and online resources have shown promise in expanding PBL’s reach
expert advancement courses in Saudi Arabia.to which participation in online professional development courses Investing in the professional development of educators is crucialinfluences teacher leadership development, innovation, as the Kingdom strives to cultivate a knowledge-based societyand technology integration. These questions are intended to and diversify its economy [53]. Online expert improvementprovide insights into how online platforms can support courses have arisen as an effective strategy to improveteachers in adopting innovative practices and leadership educators’ constant learning and empower them to be creativeroles within the Saudi educational system. and
—that design and prototyping process involves the use of rapidchallenges students to consider both technical and prototyping techniques, such as 3D printing and laserenvironmental impacts in their projects. This paper presents cutting, to create components for the project. Lastly,a heliostat model assembly project, conducted as part of a students engage in control systems by programmingproject-based learning (PBL) curriculum [8-9], aimed at Arduino-based sensors and motors to adjust the positioningfostering a sustainable engineering mindset in students. A of the heliostat, gaining hands-on experience with thesesustainable engineering
Lifelong Learning mindset and readiness, cognitive overload, and Modern educators and psychologists emphasize that structural or systemic constraints in current educational critical thinking is not limited to logic or bias recognition; it is and training environments. a dynamic skill essential for adaptability, creativity, and The goal is to equip individuals of all ages with the tools continuous learning. Developing the ability to questionand guidance needed to develop awareness, discernment, and assumptions, re-evaluate beliefs, and integrate newresilience in an increasingly risky digital world. Without these information equips individuals to
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Evaluation Report of Project Achieve: Fostering Hispanic Achievement in Computer Science and Engineering with Affinity Research Group Model Navarun Gupta, Deana DiLuggo, Junling Hu, Theresa Bruckerhoff Abhilasha Tiberwal, Ahmed Elsayed VP and Principal Evaluator University of Bridgeport Curriculum Research and Evaluation, Inc. Bridgeport, CT, USA Chaplin, CT, USA navarung@bridgeport.edu, ddiluggo@bridgeport.edu
. programming in a common integrated developmentWhy is instructor training so critical to safely and effectively environment [IDE] or cybersecurity network simulations forteaching pedagogy? We present these paradigms and discuss Information Technology courses.challenges associated with laboratory-based learning. Theseinclude equipment costs, upkeep and maintenance of equipment In the context of an ABET accredited curriculum, lab-and lab space availability. Increasing ways to mitigate these based instruction not only reinforces technical skills andchallenges often include a virtual and online environment. problem-solving abilities. Lab classes provide relevantFinally, we also share methods for the assessment
Enhancing Career Readiness Skills for Engineering Students with Artificial Intelligence Lina H. Kloub School of Computing University of Connecticut Storrs, CT, USA lina.kloub@uconn.edu Abstract—he integration of artificial intelligence (AI) tools in challenging in the curriculum. The course demands a deepeducation presents a unique opportunity to enhance learning ex- understanding of algorithmic principles and the ability to applyperiences
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
in market share and products which were undesirable. ABET, the Accreditation Board for Engineering and observational notes after conducting these projects in theirTechnology, in its 2020-2021 Criteria for accrediting classes.engineering programs, made an emphasis on how importantinterdisciplinary skills are in engineering education [1]. In the At the start, professors conducted meetings on how toStudent Outcomes [3] and Faculty [6], ABET discusses that integrate these multidisciplinary team projects into theirteamwork, communication, and interdisciplinary cooperation syllabus. The Industry Advisory Board recommendations wereare the key. Modern world problems are more complex
, strategy, and problem-solving. While Tic-Tac-Toe AI games effectively introduceWhen integrated with AI, it becomes a powerful tool for students to AI principles, their long-term impact on AIteaching computational thinking and decision-making [13]. learning and career development remains uncertain [28].Integrating AI-driven educational tools has transformed Studies suggest that while initial engagement levels are high,learning methodologies, particularly in game-based learning. it is unclear whether this translates into sustained interest in AIOne study by S. Jain and N. Khera highlights that adapting or improved academic performance in advanced AI coursesTic-Tac-Toe into an AI-driven experience