, with the goal of reducing teachers’ workload and enhancing instructional strategies.Dr. Mohsen M Dorodchi, University of North Carolina at Charlotte Dr. Dorodchi has been teaching in the field of computing for over 35 years of which 25 years as an educator. He has taught the majority of the courses in the computer science and engineering curriculum over the past 25 years such as introductory programming, data structures, databases, software engineering, system programming, etc. He has been involved in a number of National Science Foundation supported grant projects including Scholarship for STEM students (S-STEM), Researcher Practitioner Partnership (RPP), IUSE, and EAGER. ©American
computational representation and reasoning support for managing complex system design through the use of Model Based approaches. The goal of Dr. Morkos’ manufacturing research is to fundamentally reframe our understanding and utilization of product and process representations and computational reasoning capabilities to support the development of models which help engineers and project planners intelligently make informed decisions. On the engineering education front, Dr. Morkos’ research explores means to improve persistence and diversity in engineering education by leveraging students’ design experiences. ©American Society for Engineering Education, 2025 Engaging students on a
deliberatepractice environments can address persistent challenges in technical education and inform thedesign of scalable, adaptive learning tools for broader implementation.1. IntroductionThe retention and application of SQL knowledge represent persistent challenges forundergraduate STEM students. At a large Midwestern university, students struggled to applySQL skills acquired through lectures, in-class exercises, and homework when working on theirsemester projects, often within a month of initial exposure. Suspecting limited practiceopportunities contributed to poor skill retention, we sought to improve student engagement,enjoyment, and performance with an effective e-learning system that emphasizes deliberatepractice and immediate feedback.Deliberate
load is approved, it will allow construction companiesworking on park improvement projects to drive conforming vehicles on park pedestrian bridgessuch as those found in Greenville, SC (Figure 3). (a) (b) Figure 3. Park bridges in Falls Park on the Reedy, Greenville, SC (a) the Liberty Bridge [30] and (b) Eugenia Duke Bridge [31]Student engineers will be evaluating a test bridge with the new proposed state legal load for parkbridges shown in Figure 4. The load consists of a front axle caring 500 lb or 0.5 kips, a secondaxle 10 ft later carrying 2000 lb or 2 kips, and a third axle 4 ft later caring another 2000 lb.Student engineers must find two
. This experience suggests that one potential role for GenAI ineducation is to address gaps or deficiencies in existing course materials. In an engineering ethicscourse, the use of GenAI can provide additional information on the environmental and societalimpacts of engineering projects. GenAI could also be used to locate information about the policyimplications of historic events and long-term impacts of engineering failures. The case studiesfeatured here had far-reaching, multi-faceted effects on the communities impacted. While thetechnical and decision-making processes featured in the textbook are important, GenAI can beuseful for developing a more holistic view of engineering case studies.Our study demonstrated that the best results from
Engineering Education, 2025 Implementing a Distributed Process Control System in a Student Unit Operations LaboratoryAbstractAs part of the renovation and relocation project for the Unit Operations Laboratory at theUniversity of Illinois, a commercial distributed process control system (DCS) was incorporatedinto the facility. The purpose of the system is both to provide process control functions for theunit operation experiments and to introduce students to the equipment and instrumentation thatcomprise a modern control system. While the benefits of having a DCS system have long beenrecognized, the maintenance and cost of an advanced control system have been a significantdeterrent to its effective inclusion in many
connections betweenknowledge, and to identify opportunities to create value for the world. Research on the 3Cs hasbeen investigated for quite some time with a particular focus on topics such as educationalinterventions and mindset in contexts such as the first-year engineering programs, the mid-years,and the senior capstone courses. Despite the ubiquitous research efforts looking to expandpedagogical approaches for the 3Cs, there remains a large gap in tools available for educators tomeasure student learning gains and pedagogical intervention effectiveness. This project is part ofa larger research effort to support the development of direct and indirect assessments for each ofthe 3Cs (Curiosity, Connections & Creating Value). This “assessment
Paper ID #48844High School Students’ Sentiments and Outcomes in FossilSketch LearningActivitiesMr. Sung Je Bang, Texas A&M University Sung Je Bang is a Ph.D. candidate in Interdisciplinary Engineering at Texas A&M University, within the Department of Multidisciplinary Engineering. He serves as a graduate research assistant on multiple projects, where he focuses on user experience and psychological aspects of technology. His research interests include artificial intelligence, large language models, user experience design, and engineering education.Anna Stepanova, Texas A&M University Dr. Anna Stepanova is a
Engineering (NAE), Infusing Ethics into the Development of Engineers, Washington, DC: National Academies Press, 2016.[11] GoodCorporation, “Ethics in the engineering profession: A GoodCorporation report for the Royal Academy of Engineering,” London, UK: GoodCorporation Ltd. Available: https://raeng.org.uk/media/x0lbgvco/ethics-in-the-engineering-profession.pdfAppendix A: HEEE Agenda and Schedule Time (EDT) Description 9:00-9:30 AM Informal gathering and networking 9:30-10:00 AM Opening: Welcome, about NIEE, project background/objectives 10:00-10:15 AM Summary of pre-event survey results 10:15-10:45 AM Breakout session #1 (exploratory) 10:45-11:00 AM Breakout reports, identifying
to ROV-related careers. However, it did not show meaningfulrelationships with core SCCT constructs for both genders. This demonstrates that while gamingactivities may raise awareness of ROV-related careers, they are insufficient for shaping coreSCCT constructs. To address this limitation, supplementing gaming activities with additionalexperiential opportunities, such as robotics or project-based learning, is suggested to provide amore comprehensive foundation for career development.Although this study identified gender-specific differences in the influence of robotics andgaming experiences, it failed to uncover factors influencing the core SCCT constructs amongfemale students. Future studies should investigate additional variables, such as
incorporating the practice and development ofprofessional skills into their first-year engineering courses and projects to better prepare studentsfor entering the professional workplace as they seek out internships and co-op experiences intheir second and third years (e.g., [4], [5]).While a primary purpose of first-year engineering programs is to aid in preparing students forsuccessful transitions into their specific engineering disciplinary classes with foundationalengineering skill sets and knowledge, first-year engineering courses are also well-positioned toaid in students transitions between two starkly different educational contexts: high school tocollege. The transition from high school to the first year of college in an engineering programcan
environments that make use ofdarts or target metaphors [24], or dynamical displays of stochastic processes such as a digitalGalton board as an analogy for manufacturing variation [25]. There is an opportunity to createdigital environments that allow users to virtually operate equipment, gather and analyze data,interact directly with SPC tools like run charts and control charts, and better prepare students foron-the-job problem solving. In this work we leverage the advantages of digital environments tocreate a series of interactive simulations and games to teach statistical process control in amanufacturing environment.2. Development of Process Control Interactive Simulations and Web GameFor this project, the goal of using interactive web simulations
system design, manufacturing, and their respective education. His system design research focuses on developing computational representation and reasoning support for managing complex system design through the use of Model Based approaches. The goal of Dr. Morkos’ manufacturing research is to fundamentally reframe our understanding and utilization of product and process representations and computational reasoning capabilities to support the development of models which help engineers and project planners intelligently make informed decisions. On the engineering education front, Dr. Morkos’ research explores means to improve persistence and diversity in engineering education by leveraging students’ design experiences
studentsparticipated in the study. We interviewed 23 S-STEM scholars and conducted four focus groupswith 16 students.Data collectionThe data were collected during the Fall semester of 2023. One of the primary components of theS-STEM program is bi-weekly meetings on Fridays that scholars are encouraged to attend.S-STEM program leadership encouraged the research to schedule interviews for an off-Friday inwhich scholars did not have a meeting because scholars are in the habit of coming to campus tomeet with advisors on Fridays. The focus groups were scheduled two weeks later on another off-Friday. The research team attended a bi-weekly meeting and explained the project and recruitedstudents to sign up for an interview or focus group slot using a shared Google
it to “check NFL player stats” or“chat when bored.”Figure 3: Summary of students responses to survey question “provide examples of how you usedAI for a non-academic purpose”.In addition, AI is used for problem-solving and personal assistance, such as troubleshootingcode, solving math problems, or seeking advice on personal issues. Students highlighted itsutility for tasks like “troubleshooting code for a personal project” or asking for“recommendations in a new country.” On a scale of 1 to 5, students expressed significant interestin learning about AI and its applications in engineering and computing, with an average interestrating of 4.1 and approximately 50% rating their interest as 5 (Very Interested). When askedabout their expectations
domain-specific knowledge and skills to successfully to identify organizational needs and problems; knowledge in a shared domain with the Ideator and Implementer to be able to communicate concepts to both of those roles; knowledge of systems design and management; knowledge of enterprise systems; knowledge of the overall economic development process S- Skills in: communication, understanding people and motivation; organizations (building, and managing); managing projects; identify others strengths and weaknesses to best place them within the organization; mediation; A- Ability to: think strategically (e.g. at the big picture level) and also procedurally/sequentially; organize; identify, create and manage
keep expanding, refining, or summarizing to adhere to the norms of the disciplinaryjournals. I think this strategy can help make methods writing less daunting and avoidperformativity. It also allows the flexibility to innovate and adapt and then represent thoseinnovations transparently to your reader.If you are midway through a project or at the end of one and draw a blank regarding what,beyond the basics, to write about your methods, I hope the reflection questions in Table 1 helpelucidate some directions that can be taken even late in a study. For example, reflecting onresearch questions, deciding what they mean to you, elaborating the actual analysis process toanswer them—this is a crucial and continual reflection. At any time, asking and
, making, while business training might prioritize and self-directed learning. Incorporating tools like AI- scenario-based leadership, risk assessment, and assisted personalized learning or experiential projects strategic thinking; bridges abstract concepts with practical significance. These approaches promote motivation and ownership o Public libraries, community centers, and online of learning while reinforcing the development of platforms can host free workshops on digital higher-order thinking skills vital in the modern world. literacy, critical thinking, and cybersecurity awareness to
assistant), professors may opt for assessments that are easier to grade, such as multiple-choice exams or assignments with clear-cut answers, instead of more time-consuming butpotentially more meaningful forms of evaluation, like essays or project-based assessments.My findings overall highlight a misalignment of priorities among faculty. This excessive focuson preventing dishonesty can overshadow efforts to address more impactful aspects of education,such as refining course content, developing innovative teaching strategies, and creating a moreenriching learning experience for students [33], [34].. Instead, faculty should also balance inemphasizing improving test design and preparation strategies, which can be more effective andbeneficial to
not see this as a systemsproblem.Financial barriers to internships and experiential learning. Experiential learning is a hallmark ofthe University’s undergraduate education, but access is very unevenly distributed amongstudents, with UR/US students reporting more barriers to access—such as the need for easytransportation to get to an internship or project site, and the inability to take do co-curricularactivities that are unpaid or after typical class hours, when they need to work. Uneven fundingacross schools and majors contributes to these barriers, making this an institutional barrier.Advising. This study treated advising as an institutional matter, and not as an “academic” matterbecause it happens outside of the formal learning
considerable professional experience, ensuringrepresentativeness. Insights from the interviews revealed that the most common roles amongparticipants were Estimator (30%), Educator (21%), Architect (15%), Project Manager (12%),and Civil Engineer (9%). 10+ years 6-10 years 2-5 years Less than 1 year 0 2 4 6 8 10 12 14 16 Figure 1. Distribution of Participants' Work Experience in STEM Fields.Career entry timing and pathwaysDespite the promotion of STEM-related courses in K-12 education, participants reported thattheir formal consideration of STEM careers often began after high school or even after collegegraduation, with 65% starting
disagree in that category. Similarly, 71% and 18% strongly agreed,and 67% and 25% agreed, for sections 1 and 2, respectively, that their critical thinking skillshave improved in the class. Finally, 59% and 35% strongly agreed, and 67% and 25% agreed, forsections 1 and 2, respectively, that the class has been a valuable learning experience for them.Only 6% of students from section 1 disagreed. There were no comments related to this number.For the AR development engagement, we received the following feedback from the student whoassisted with the tutorials that went into the AR application, “… we are able to cross the barrierbetween learning and understanding via AR …. Through this project, we are not only justteaching them [students], but we are
in the classroom. It is not uncommon for there to be only one or twowomen present in the sophomore level engineering courses such as Dynamics or Mechanics ofMaterials. The advice offered that seems most applicable is for faculty to ensure that theirclassroom culture fosters mutual respect and to encourage collaborative projects [9]. Thissupports not only students in the minority, but everyone in the classroom.Future Research and LimitationsThere is a bias present in any survey based on who chooses to respond. In this study 89% of therespondents reported that they were fairly or very confident that they would keep their currentchoice of major. This may skew the data on identity and sense of belonging to be overestimated.Future work could
“happy” for seven subgroups and“relieved” for six. “Happy” was further correlated with “confident” and “relieved” for eightsubgroups each. With the negative beliefs, “incompetent” was correlated with “helpless,”“ashamed,” and “defeated,” each in eight out of the 11 subgroups, while “defeated” and“ashamed” were also correlated with each other in eight subgroups. While statistical overlap wasthe starting point of discussion, the majority of experiential belief items were ultimately cutbased on the stated goal of this project: to produce a shorter, intervention-driven version of theinstrument. As experiential beliefs are based in emotional responses to the idea of seeking help,they are more vague and less actionable as key intervention targets
focused on designing AI tools to assiststudents’ learning in specific ways and on evaluating and improving these tools. For example,Gabbay and Cohen developed a framework for LLMs to complement automated test-basedfeedback in programming courses, evaluating the quality of the feedback and demonstrating thepotential of tools like GPT-4 to enhance feedback on code assignments [22]. Vadaparty et al.examined the integration of LLMs in an introductory programming course, focusing on students’experiences and reactions to the LLM’s ability to enhance learning and creativity in project-basedassessments [23]. Jury et al. developed WorkedGen, a tool that utilizes LLMs to generateinteractive worked examples for programming courses. They provided expert
applications wherever possible. Thesecond was a focus on a higher level and forward-looking reflection as described by Kember and 2colleagues[15]. Such activities are already common in our program and are largely guided by establishedframeworks including inquiry and project-based learning, and conceptual change [16].Course descriptionThe course in which we implemented this activity is an upper-level introductory physiology course that consistsof two 1-hour lectures and one 2-hour Problem Solving Studio (PSS) [17] per week, with some contentdelivered using required course videos. The course is designed to help learners connect
academic community for many years, teaching both undergraduate and graduate courses and advising student projects. Her research interests include water treatment technologies, the development of sustainable solutions for plastic waste recycling and management, and engineering education. She is particularly interested in teaching chemical and environmental engineering courses, as well as exploring the social impact of engineering education.Prof. Andrew R Teixeira, Worcester Polytechnic Institute Andrew Teixeira is Associate Professor of Chemical Engineering at Worcester Polytechnic Institute and classically trained chemical engineer with specialties in the fields of dynamic chemical reaction engineering and materials
its effectiveness in flipping thirty percent of the course content, Int. J. Inf. Educ. Technol., vol. 6, pp. 348-351, 2016 [3] J. Garc´ıa-Ferrero, R. P. Merch´an, J. M. Mateos Roco, A. Medina, and M. J. Santos, Towards a sustainable future through renewable energies at secondary school: An educational proposal, Sustainability, vol. 13, no. 22, pp. 12904, 2021. [4] S. Saovakhon and S. Akatimagool, Development of innovative virtual media set for learning renewable energy, in 2024 12th International Electrical En- gineering Congress (iEECON), pp. 1-4, 2024. [5] M. Daoudi, Education in renewable energies: A key factor of Morocco’s 2030 energy transition project. Exploring the impact on SDGs and future perspec
(and below the SWEMWBS average) for the first two weeks in each term but then remains near or above the SWEBMWS average through the rest of term. Noting that students are assigned to new course project teams at the start of each term, it may be that working closely with and getting to know their new teammates at the start of each term helps build some social connections. • The “I’ve been able to make up my own mind about things” item is consistently the highest- scoring item across all weeks. 5 Well-being (SWEBMWS) 4 3
conclusion thatthis educational model must therefore be made up of ”unguided practical or project work” is notnecessarily true. In fact, it has been directly contested as ”mistakenly conflat[ing] problem-basedlearning and inquiry learning with discovery learning” [5]. This interdisciplinary, constructivistapproach aligns with our agile model’s emphasis on learning-by-doing in CS1.The instructional approach described in this work joins experimental spaces for students to con-struct knowledge with focused guidance and direction from instructors to avoid these specific prob-lems.Early Computer Science Course ContentCS1 courses generally serve two overlapping but distinct purposes. First, from a constructivistperspective, the goal for CS students is to