ethical considerations. Theoretical FrameworkOur analysis integrates three complementary theoretical perspectives to understand AI's role inengineering education. Building on Sweller's (1988) Cognitive Load Theory, we examine howAI tools can reduce extraneous cognitive demands in complex engineering tasks. Mayer's (2019)analysis of multimedia learning environments demonstrated that AI-supported cognitivescaffolding reduced cognitive load by an average of 35% while improving problem-solvingaccuracy by 42%. These findings align with Johnson and Smith's (2018) longitudinal study of1,200 engineering students, which found that AI-enhanced mastery experiences led to a 40%increase in student self-efficacy ratings and
2teaching syntax and basic concepts, they did little to demonstrate the relevance of programming toBME. Recognizing this, I began transitioning the material in 2023 to include domain-specificexamples, with the final transition completed in 2024. The course now fully integrates biologicaland mathematical challenges into its curriculum. Course Structure and ExamplesThe course consists of nine weekly labs, two exams (one in C++ and one in Python), and a finalgroup project. Each lab builds progressively on the previous material and incorporates practicalapplications. The final project allows students to explore topics of their choice within cellularautomata modeling. Since 2022, we have had 35 projects, covering topics
paper presents the integration of Peer-led-Team Learning (PLTL) and design thinking (DT) toimprove student success in Engineering Statics, which is a gatekeeping class for mechanical andaerospace engineering (MAE) students. The MAE department at the University of Texas Arlington(UTA) offers multiple sections of Engineering Statics each semester with an average passing rate ofaround 70% in the past several years. In spring 2024, UTA Division of Student Success introducedPLTL to this course with a professor from the MAE department serving as the faculty liaison. Themain task of the faculty liaison was to develop the weekly PLTL packages, which typically consist ofa set of problems that the peer leaders (PLs) would guide the students to solve. In
, such as writing, coding, orsolving problems. Thus, education must evolve to teach students how to use this tool effectivelyand evaluate the quality of its work. Educators should aim to incorporate AI into their classroomsin ways that help students develop these skills so that students will be better prepared tocontribute to society in the future 3 .However, there are concerns about ethical implications relating to the grey areas of AI, such asprivacy, bias, and accountability 4 . Applied specifically to education, AI’s integration riskscreating an over-reliance on external tools, potentially hindering students’ ability to recall andapply knowledge independently. Educators have also raised concerns about the potential for“academically dishonest
Paper ID #49643Incorporating Sustainability Knowledge into Construction Education Curriculum:A Case Study of Earthen MasonryRoy Uzoma LanMr. Chinedu Okonkwo, The University of Texas at San AntonioDr. Ibukun Gabriel Awolusi, The University of Texas at San Antonio Dr. Ibukun Awolusi is an Associate Professor in the School of Civil & Environmental Engineering, and Construction Management at The University of Texas at San Antonio. His research interests and expertise are in construction safety and health, automation and robotics, innovation and technology integration in construction, sustainable materials and
Paper ID #49642Integrating Artificial Intelligence into Construction Education: Assessing theImpact on Students’ Perception of Knowledge, Confidence, and Relevance toCareerMr. Chinedu Okonkwo, The University of Texas at San AntonioRoy Uzoma LanDr. Ibukun Gabriel Awolusi, The University of Texas at San Antonio Dr. Ibukun Awolusi is an Associate Professor in the School of Civil & Environmental Engineering, and Construction Management at The University of Texas at San Antonio. His research interests and expertise are in construction safety and health, automation and robotics, innovation and technology integration in
core curriculum.Within engineering, students often work as part of an integrated team. This was a new concept forstudents in the other disciplines. The “teamwork” almost became separate independent tracks thatcame together at the end. The teams seemed to work in a multidisciplinary rather than interdisciplinaryframework: each student in the team had their task to perform and those tasks were joined together at Proceedings of the 2025 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington, Arlington, TX Copyright © 2025, American Society for Engineering Education 7the end. In future offerings we
helpsstudents take responsibility for their educational journey through a curriculum focusing on academicengagement and community-building. All full-time, first-time students enroll in a semester-longcourse that delivers this curriculum MWSU 1230. All sections are capped at 20 and include a facultyand/or staff mentor and a peer educator, who is responsible for delivering the common curriculum.A customized Mustangs Adventure Guidebook provides activities (adventures) and promptsreflecting the course goals and Student Learning Outcomes. Students meet weekly to reflect on anddiscuss their adventures. To earn credit for MWSU 1230, students must complete all assessmentsand five adventures, and may have no more than three absences
. IntroductionEmbedded systems or microcontroller application courses are typically found to be included in theEngineering Technology Curriculum for electronics systems and mechatronics programs [1][2]. TheElectronic Systems Engineering Technology (ESET) program at Texas A&M offers an embeddedsystem integration minor. Students learn about hardware and software aspects of embedded systemdevelopment. The embedded systems integration minor is available to engineering students as wellas students outside of the College of Engineering. In the ESET program, the core embedded systemcourses are also included in the bachelor’s degree curriculum.The author has been teaching embedded system courses including ESET 369, Embedded SystemSoftware. Students in this course
Intelligence (AI) in education and STEM education research.John O Ajamobe, Texas A&M University John Ajamobe is a doctoral student in the Department of Teaching, Learning, and Culture at Texas A&M University. He was a former high school educator and has an interdisciplinary background in economics and educational leadership. His research focuses on improving educational systems through advocacy for school safety, economics of education, and school accountability.Segun Timothy AjoseMr. Peter Oluwaseyi Oyewole, Kent State University, Kent Peter Oyewole is a doctoral candidate and teaching instructor at the School of Teaching Learning and Curriculum, Kent State University.Grace Iyinoluwa Olaitan
essential foundation forfostering student interest.”2 Peer Led Team Learning (PLTL), an active learning pedagogy, has alsoshown to improve student performance, retention, and commitment to engineering 3.This work-in-process paper presents an overview and early activities of an NSF funded project thataims at integrating PLTL and DT to foster engineering identity in MAE freshman and sophomorestudents. A survey questionnaire that combines measures on engineering identity, belonging, Proceedings of the 2025 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington, Arlington, TX Copyright 2025, American Society for Engineering Education
elements of teamwork include understanding team stages, recognizingmembers' strengths and weaknesses, fostering mutual trust, and managing roles and expectationsthrough tools like team charters. To address the gap in teamwork skill development, theUNdergraduates Improving TEamwork Skills (UNITES) project was launched to integrate verticallyaligned lecture modules into the engineering curriculum. The foundational module initially consistedof slide-based content focused on characteristics of successful teams, team dynamics, andexpectation management. However, instructor feedback revealed challenges such as unfamiliaritywith concepts, lack of student engagement, and excessive time required to cover materials duringlectures. The module was improved to
Paper ID #49482Summer Pre-Engineering Program Builds Student Confidence and MotivatesInterest in STEMDr. Araceli Martinez Ortiz, The University of Texas at San Antonio Araceli Martinez Ortiz, PhD., is the Microsoft President’s Endowed Professor of Engineering Education in the College of Engineering and Integrated Design at the University of Texas at San Antonio. She leads a comprehensive research agenda related to integrated STEM learning, pre-college engineering engagement, engineering faculty professional development and culturally relevant engineering curriculum and instruction.Gabriela Gomez, The University of Texas at
twenty-first century. Integrated approaches to STEM education: An international perspective, 21-43. [3] Gharib, A., & Alyafei, N. (2022). A STEM Roadmap for Pre-Collegiate Engineering Students. In ASME International Mechanical Engineering Congress and Exposition, Vol. 86694, p. V007T09A032. [4] Retnanto, A., Alyafei, N., Fadlelmula, M., & Sheharyar, A. (2020). The Impact of Practical Experiences on the Development of Petroleum Engineering Education. In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers. [5] Gharib, M., & de Miranda, M.A. (2024). A Novel Curriculum for an Engineering Degree in STEM Education and Teacher Preparation. In 2024 ASEE Annual Conference
decision-making. This paperexamines how integrating the development of these professional skills into core engineeringsubjects—such as Thermodynamics, Fluid Mechanics, and Electrical Circuits—can foster a morecomprehensive and holistic student education. Through the use of problem-based learning andreferencing real-world applications, the approach aims to enhance both technical knowledge andessential soft skills. The paper also explores alternative assessment methods that extend beyondtraditional exams to evaluate competencies crucial for professional success. By aligningengineering curricula with industry expectations, and supporting faculty development in this area,the study offers a framework for curriculum design that strengthens both
to considerwhen developing a new semiconductor program. Building stronger collaboration requires notonly the dedication of individual faculty members but also support at the departmental andinstitutional levels. Collective curriculum development helps reduce the burden on individualfaculty members within each institution and benefits from industry support, such as the provisionof equipment and the integration of industrial needs directly into coursework, to better preparestudents for careers in semiconductors. Holistic regional efforts are also essential, as the growthof the semiconductor industry cannot rely on a single major player. Instead, a collaborativeinfrastructure with specialization is necessary to strengthen the roles of unique
, assess how they intend to integrate these tools into future curriculum, and identify theconcerns and challenges associated with AI usage. The survey comprised 105 students from threemajors: Mechanical Engineering (11.4%), Engineering Management (43.8%), and MechanicalEngineering Technology (44.8%). The participant group was evenly divided between undergraduate(49.5%) and graduate (50.5%) students.The survey featured a combination of multiple-choice and Likert-scale questions focused on four mainareas: first, the survey explored usage patterns and engagement with AI tools with questions focus onhow students interact with AI tools, the various applications of these tools in their studies, and theperceived engagement and efficiency benefits; second
, testing, and implementation ofdesigns. Through the ET-AG Program, WTAMU will create a pipeline of skilled graduates readyto lead in agriculture technology and contribute to a more resilient and sustainable agriculturalsector, both regionally and beyond.Developing a multidisciplinary program for undergraduates and graduates presents severalchallenges in terms of integrating concepts from multiple fields, creating relevantinterdisciplinary material, and meeting the needs of diverse learners. Institutions need to ensureprovision of reliable infrastructure in concerns to programs that have online, and blendedlearning communities embedded into their curriculum [1, 2]. Significant investment is alsoneeded to incorporate new tools, such as generative
their courses using PjBL11. PjBL is not meant to replace traditional education such as lectures,quizzes, and assessments. It is meant to expand upon what is taught in the classroom and what isrecommended in the ABET engineering criteria 200012.Lean Six Sigma, DMAIC, and DMADV are essential methodologies for process improvement andquality enhancement. Ishikawa Diagrams, Kaizen events, Measurement System Analysis (MSA),Failure Mode and Effect Analysis (FMEA) are a few methods used to decrease defects and improvequality. These help eliminate waste, reduce variation, and ensure robust designs, leading to higherefficiency and customer satisfaction13. The integration of the DMAIC and DMADV processes are arequirement in modern processes to have an
the TTA Solution constructs and tools needed for the design, construction,start-up and pilot product production of TTA Knowledge Production Process. The first paper (A1)mainly focused on developing the needed core frameworks and models. The second and the fourthones (A2 and A4) presented the customized version of TTA solution by developing a genericthinking toolbox. The third and fifth articles focused on presenting numerous practical TTA pilotproducts. The sixth paper ended this long documentation of TTA by presenting an integratedframework to accommodate TTA constructs, concepts, processes, and tools. TTA is alreadyconceptualized (A1), customized (A2 and A4), operationalized (A3 and A5) and integrated (A6), asvisually illustrated in Figure
embedded system course curriculum. A traditional embedded system curriculum coverslearning about microcontroller architecture and hardware and software aspects of microcontrollersand applications. In order to prepare students for more complex tasks required in embedded systemsand teach advanced topics of embedded systems, an Embedded Intelligent System Design course wascreated and initially offered in Fall 2019. Moreover, this course was also offered in Fall 2022 andSpring 2024. This paper introduces the topics of the course and practice session and term projectcontent in this embedded intelligent system design course. Course topics included Search algorithmsNumPy, Pandas, Sci-kit Learn, TensorFlow, Embedded Linux, and OpenCV. The primary
lecture notes, but it was faster for them to ask the AI tool to get an answer.Instructor Use of AIStudents reported minimal integration of AI by the course instructors. Most courses were taught asif AI doesn’t exist. The exception was a few technical elective courses where a few studentsdescribed how the instructors embraced the use of AI with some focused activities. In a thermalfluid design class, students were shown Microsoft Copilot since it is provided by the University.Students were allowed to submit reports acknowledging the use of AI to complete the report.Feedback from students was that it significantly reduced the time to complete the report. In a finiteelement class, students describe how the instructor used ChatGPT to generate code
Paper ID #49550Closing the Gap through Guided Pathways into the Engineering and ComputerScience WorkforceDr. Nandika D’Souza, University of Texas at Dallas Nandika Anne D’Souza is Professor (2024-present) of Mechanical Engineering and Associate Dean of Strategic Initiatives at the University of Texas at Dallas. She received her doctorate from Texas A&M University, College Station and her M.S. from Auburn University in Mechanical Engineering. Her research is focused on polymers and composites directed towards integrating sustainable, recycled and new combinations of materials for design, performance and manufacturing
may be concluded that proper curing and rebarplacement are important for RC strength and durability. Non-destructive methods like GPR areeffective for assessing concrete integrity. Teachers implemented the information into their classroomlesson plans and hands-on student activities involving physical and biology experiments. Thisapproach will bridge practical experiences with theoretical knowledge, sparking student interest inengineering careers. IntroductionReinforced Concrete (RC) is the most used construction material for various types of structures.The concrete cover above or below rebars play an important role in structural safety and durability.It may be necessary to find the actual covers in
nucleation cold stage freezingassay device was developed at the University of California, Riverside (UCR), an R-1 institution.The methodology used in this paper evaluated an approach to implement lab based modularactivities in non-R1 institutions. By integrating this framework, atmospheric science departmentsat non-R1 institutions can engage in ice-nucleating particle (INP) and ice nucleation processesresearch. This inclusion can contribute valuable data to the broader scientific community, fosteringcollaborations between smaller institutions and research-intensive universities, broadening accessto advanced experimental techniques used in atmospheric and environmental sciences.Furthermore, equipping non-R1 institutions with state-of-the-art research
-on project also sparked interest in cutting-edge innovations. Engagingstudents in these activities not only deepened their technical knowledge but also enhanced theircritical thinking and problem-solving skills, better preparing them for future challenges in theengineering field. Pedagogical Framework in MentorshipMentoring initiatives in engineering education can be effectively designed and structured byintegrating mentors’ design work and expertise directly into the curriculum. For example, in an"Introduction to Computer Engineering" course, mentors can contribute by presenting theirdesign projects as case studies, offering students practical insights into real-world applications.Guest speaker sessions and
concerns by providinga structured framework for matching students with appropriate projects and eliminates the time-consuming steps students previously faced. Aligned with UTSA’s broader “Career-ReadyRoadrunners” initiative, EZ-RA integrates experiential learning into the undergraduate curriculum,enhancing student readiness for professional careers and the department’s ability to deliver cutting-edge STEM education. Through EZ-RA, students gain accessible pathways to research, whilefaculty are empowered to mentor and collaborate effectively, fostering a sustainable model forundergraduate research excellence. Barriers to Undergraduate Research ParticipationThe current system for undergraduate research in the Electrical and
software tools to make measurements of physical quantities. • Models: Identify the strengths and limitations of theoretical models as predictors of real- world behaviors. • Experiment: devise an experimental approach, specify appropriate equipment and procedures, implement these procedures, and interpret the resulting data to characterize an engineering material, component or system. • Teamwork: work effectively in teams, including structure individual and join accountability; assign roles, responsibilities, and task; monitor progress; meet deadlines; and integrate individual contributions into a final deliverable. • Sensory Awareness: use the human senses to gather information and to make sound
moreclosely with academic and professional goals.Through an analysis of survey data, external benchmarking, and faculty-library collaboration, thispaper highlights the strategic role libraries can play in engineering education. By integrating libraryresources and expertise into faculty teaching practices, libraries can help foster student-centeredlearning environments that emphasize high-impact educational practices. This paper providespractical recommendations for faculty and librarians seeking to advance PBL, interdisciplinarycollaboration, and the transition from academia to industry, illustrating how libraries can serve askey partners in engineering education. MethodologyThis project, funded by the UNT