focuses onhow engineering and technology have influenced societal development throughout history. Thisreview activity can also be used to engage students in team problem-solving.1.0 IntroductionFaculty are always trying to find new ways to engage students in learning and to make learningmore fun. In my Engineering in History course, I look for ways to (1) help students see theconnections between technological innovation and societal advancement and (2) make learningthe important “facts” more engaging. While playing Team Trivia at a restaurant with friends, Ithought of adapting that game to review for tests in my course.The objective of this activity is to promote content review before an exam. Students reviewcontent during class and develop an
Evolution of a Concept Question and the Effect on Student ResponsesAbstract. A total of 1,685 responses from three different versions of a ConcepTest in the Concept Warehouse areevaluated (557, 881, and 247 responses for Versions 1, 2, and 3, respectively). In all responses, students were askedto choose the correct answer and provide a written explanation of their answer choice. The underlying issue of thequestion is for the student to discover a lack of moment equilibrium in the provided Free Body Diagram. Theprimary result of the work suggests that a question phrasing with the explicit question “can the body be in staticequilibrium,” rather than asking if the Free Body Diagram is “possible” or “suitable,” is more
: Evaluating the Student ExperienceIntroductionThis full paper presents findings from an evidence-based practice study evaluating asustainability intervention in a polymer engineering course. In some ways, the importance ofsustainability has been recognized in engineering for decades. For example, in a 2004 report theNational Academy of Engineering called for engineering education that prepares engineers forconsidering sustainability “in all aspects of design and manufacturing” [1, p. 21]. In 2006, theNational Society of Professional Engineers added a professional obligation to its Code of Ethicsencouraging engineers to follow principles of sustainable development [2], [3]. In his 2014 book,Dr. Trevelyan stated that the
writing,and writing ability in the context of engineering graduate education that includes systematicwriting instruction and intervention structures. The four components of the Writing SySTEM are(1) workshops to teach writing skills and promote the recruitment of diverse participants intoother components, (2) discipline-specific graduate writing courses, (3) peer writing groups, and(4) writing resources hosted on a publicly available Open Educational Resource (OER). Data forthe quantitative analysis of the effects of program components on self-efficacy is still beingcollected for this work-in-progress. The anticipated outcome of this work is to equip graduatestudents with strategies and resources for writing effectively in STEM fields and to
week’s lesson, the author and students researched ideas for alternativeinstruction and drafted suggestions for more interactive learning in place of the traditionallectures. The practices of other schools were examined and discussed to see how they integrateprojects into their introductory engineering content [1-6], and the literature reinforced thebenefits of incorporating project work into the course. Textbook options were reviewed with theemphasis placed on smart books with guided reading and examination through quizzes to ensurestudents had done the pre-reading and came prepared for discussion, activities, or project work.Lecture content was reduced to make room for project workdays. Changes were made withconsideration to the assessment of
students struggled with self-directed learning, prompting us to adapt our strategy. Weallocated lecture time to demonstrate the software fundamentals, which proved effective.End-of-semester surveys indicated that students found the simulation projects beneficial,particularly in comparing simulation outcomes with theoretical predictions. This paper details theimplementation of these design projects and analyzes survey results, demonstrating their positiveimpact on student learning in our Engineering Dynamics course.1. INTRODUCTIONEngineering Dynamics is a required course in mechanical engineering programs and is known tobe one of the most difficult and challenging courses for undergraduate students [1,2,3]. Thisdifficulty arises not only from the
compete for prizes andrecognition such as for innovative design, fabrication achievements and best presentation. Thecompetition event is a high energy celebratory experience open to the public (Fig. 1).Figure 1. An MAE 3 Undergraduate Tutor (left) with students (right) and their robotat the course-wide final robot competition.Through a process of continuous improvement, the popular course has maintained a mixedreputation among students as “being a lot of work!” and as a valuable high impact learningexperience. Students often share with instructors that the course experience provided a solidfoundation in essential hands-on engineering skills and prepared them for advanced coursework,engineering clubs, capstone design and technical careers. The
these modes of AI as tools for problem-solving, highlight theircomplexities, and explore ethical considerations and biases stemming from data configuration.BackgroundAI has become a fundamental part of the educational curriculum [1]. Its growing importance inrecent years drove its integration into diverse fields such as healthcare, finance, and engineering[2]. Educational institutions are increasingly emphasizing AI to assist students with theknowledge and skills necessary for an advancing job market and to prepare them for a future oftechnological innovations.A key component of this preparation is advancing AI literacy, which refers to an understandingof the use and applications of AI without necessarily requiring deep technical knowledge [3
in the search process. At this point, authorsmanually rejected or excluded additional articles that did not meet the topic of the managementof evidence synthesis services in libraries. The resulting list of articles selected is included inAppendix 1.One author manually reviewed the abstracts of each article. If the article included information onsystematic review services, training, or skill development, the author then read or skimmed eacharticle. If the article did not mention those aspects, it was discarded. Another author loaded smallgroups of articles into an institutional subscription to ChatGPT-4o in a closed university researchenvironment to produce summaries of the works. The team members then met to discuss theirfindings and the
intomechatronics engineering courses will increase student engagement and facilitate a deeperunderstanding of coding using Python. The developed testbench and controller are low-cost,portable, and straightforward to replicate. This paper presents the testbench design, bill ofmaterials, and case studies of experiments and measurements.1. IntroductionMechatronics engineering integrates mechanical, electrical, and computer engineering to designand develop sophisticated electromechanical systems. This multidisciplinary approach empowersengineers to create efficient, intelligent machines, robots, and automation systems that aretransforming industries such as manufacturing, automotive, healthcare, and aerospace. Astechnology advances rapidly, mechatronics
engineering students to leave their degree program aretheir first mathematics courses [1], upon which all subsequent engineering concepts rely. Beyondmastering foundational calculus concepts and their practical applications, engineering studentsare honing their skills in mathematically framing, executing, and articulating solutions withindiverse problem-solving contexts [2]. While success in these endeavors is often connected tocognitive predictors such as the student’s GPA and past academic success, test scores, andintelligence [3], they only account for about 15% of the variance in academic success [4]. Incontrast, non-cognitive predictors, generally defined as those skills, attitudes, beliefs andstrategies that affect academic performance but are
theeffectiveness of immersive (panoramic) videos with hotspots as pre-class materials withinthe flipped classroom approach. This paper presents the implementation of thistechnology in a classic physics experiment on oblique launches, conducted withapproximately 400 first-year engineering students at XXXXXX. These students weredivided into laboratory classes, working in teams of 3 to 4.The paper tests the hypothesis that an immersive video—explaining in detail theexperimental apparatus, the concepts involved, and the experimental procedure throughhotspots—before the class, would promote greater autonomy in modeling and executingthe experiment. The proposal aimed at analyzing: 1. The increase in student engagement with the flipped classroom methodology
presents a robust and explainable alternative for muscle segmentation in clinical andresearch applications.IntroductionMagnetic resonance imaging (MRI) is an essential tool in medical diagnostics due to itsnon-invasive and whole-body imaging capabilities. However, the development of techniques toefficiently, and accurately segment individual muscles remains limited. Current methods aremainly based on 2D [1] and 3D [2] convolutional neural networks (CNNs) [3], which requireextensive annotated datasets and significant computational resources. Furthermore, theseapproaches often struggle with generalizability and underperform in segmenting smaller muscles,with Dice similarity coefficients (DSCs) [4] ranging from 0.60 to 0.80 [2]. Achieving
studies [1, 2] have examined the impact of academic accommodations on theacademic success of STEM students, revealing a rapid increase in the number of students withdisabilities attending post-secondary institutions in recent years. Educational equity is key tomeeting students’ needs while having access to all the resources, so one may effectively reachtheir full potential. One study [4] investigated the experiences of STEM students withdisabilities at a large research university in the United States. This study found that studentswho received academic accommodations, such as extended time on exams and access toassistive technology, were more likely to persist in their studies and achieve academic successthan those who did not receive
collected over the previous three years from several disparatesources to identify opportunities for program improvement. By examining the data through anaccess and opportunity lens, the committee sought to uncover persistent issues that had beenoverlooked because they never ranked as immediate priorities. Input from undergraduate andgraduate TAs, undergraduate and graduate student ambassadors, and surveys from multipleundergraduate cohorts revealed a need for resources to help faculty support TAs in their coursesand for TA training. At this time, neither the college nor the department offered such training.In Fall 2022, we prioritized two key goals that could be readily addressed: 1) reducing TAfrustration stemming from insufficient training, lack
, and the project is either assigned or students may have several projects to selectfrom. Capstone courses are also widely used for the assessment of Student Outcomes (SOs) due 1to the wealth of information one can collect. Many of the capstone projects may involve real-world problems and multidisciplinary teams. While multidisciplinary projects are easy to achievein some areas of engineering, it has been a challenge for civil engineering projects. Evenworking on a project involving multiple concentration areas within civil engineering is achallenge due to the way courses are offered at many universities [1 – 9].Students in our civil engineering
less effective at differentiating student performance. In contrast, manually createdquizzes offer greater depth, better alignment with course objectives, and foster critical thinking,though they require more effort to design. These findings offer evidence-based insights into thestrengths and limitations of AI in educational assessment. To address these challenges, wepropose strategies for leveraging AI-generated quizzes more effectively, such as incorporatingtargeted prompts and interactive workflows. Overall, this paper provides valuable insights andpractical recommendations to enhance the alignment of AI tools with educational goals andimprove the efficiency of quiz creation.1 IntroductionQuizzes and assessments are fundamental in higher
providing support andcontext for many of the requisite gateway courses and to provide a more substantial engineering-related experience.Starting in the Spring 2019 semester and included in every subsequent course semester up topresent day (thus providing a large sample size of thousands of responses), ENGR 111 studentswere surveyed on this topic at the end of the semester(s). Specifically, students were asked: Towhat extent do you intend to keep pursuing an engineering major?, via a 10-point Likert scale(10 = definitely will and 1 = definitely will NOT). This question was then followed up with thefollowing query: Please indicate below how much (if any) impact your ENGR 111 experiencehad on the answer you provided on the previous question related to
endeavors [1], [2]. Educators have been finding ways of integrating EMLinto their courses such as online discussions [3] and e-modules [4] that do not require class time.The new assignments were created to encourage students to become more curious about thebroader world and hopefully retain knowledge for future courses, and they were all completedoutside of class [5].This research is the first part of a planned longitudinal study to determine the effects of thiscourse modification. Surveys and reflective statements are often used by researchers tounderstand student learning. Analysis of reflective narratives is discussed in Badenhorst, et al.[6] and Ilin [7]. For the first part of this research students were tasked with reflecting on theirown
in comparisonto traditional lecture?To address this gap, the teaching team implemented a module using 20 borrowed Quest 1 VRheadsets. During the module, students explored and reflected upon the challenges of VRadoption in education. After students completed an initial onboarding, each week focused on adifferent learning topic. In Week 1, students explored the Iceberg Model, followed by Creativityand Innovation in Immersive Technology in Week 2. In Week 3, the module concluded withGamification for Increased Quality and Productivity. After the three weeks of topics (exploredvia VR and lecture), the final week was a project week. Students received traditional PowerPointlectures and immersive VR experiences for each topic, enabling them to
, foundational science andmathematics courses, and technical engineering electives. While core chemical engineeringcourses and foundational math and science courses have largely conserved learning objectivesacross programs, chemical engineering technical electives are more flexible in their structure andpurpose. Such technical electives offer the opportunity to provide students with industry-specificknowledge and skills not covered in core courses or opportunities to combine subject matter fornew learnings [1]. Also, while core courses are predetermined for students, technical electivesoffer the opportunity for students to choose what they learn and can be influential in helpingstudents make career decisions. Recent research has discovered that student
AbstractSmart manufacturing technologies improve the productivity, efficiency, and competitiveness forU.S. industries. Key enabling technologies in smart manufacturing are to 1) acquire real-timeheterogeneous data from IoTs, sensors, and machines tools, and 2) make decisions from the datausing analytics. This Maker project discusses the development of a prototype Application softwarefor a 3D printer based on MTConnect protocol. This Application is able to collect, visualize, andstore data from additive manufacturing processes. This project aims to train students about 1)MTConnnect on Adapter, Agent, and Application development, 2) additive manufacturing, 3)database, and 5) communication protocols, for manufacturing operations. The results
Sheridan is a Research Scientist in the Brinson Advanced Materials Laboratory at the Duke University Department of Mechanical Engineering and Materials Science. His current research interest include optimal experimental design, uncertainty quantification, and AI-augmented laboratory techniques, especially in the context of AFM nanomechanics and viscoelasticity.Prof. Junhong Chen, University of Chicago Junhong Chen is currently Crown Family Professor of Pritzker School of Molecular Engineering at the University of Chicago and Lead Water Strategist & Senior Scientist at Argonne National Laboratory. He also serves as the Science Leader for Argonne’s presence in the City of Chicago (Argonne in Chicago). Since March 1
—including faculty and students—can experience a fairer and more empoweringenvironment. Scrum encourages self-management, accountability, and continuous improvement.I. IntroductionIn academia, hierarchical structures often create rigid dynamics, where senior tenured facultyexert significant control over junior, non-tenured members and students [1, 2]. This top-downapproach can stifle the growth and collaboration of junior faculty and students. Scrum, an Agileapproach designed for flexibility and self-organization, contrasts sharply with this rigidity. Byimplementing Scrum, academic teams—comprising junior faculty, senior faculty, and studentscan experience a fairer and more empowering environment. Scrum encourages self-management,accountability, and
play a critical role in engineering education and shape how instructorsevaluate student readiness to navigate real-world challenges. Traditional individual examsemphasize theoretical understanding and ability to perform calculations, which are effective forassessing knowledge retention, but often fail to replicate the collaborative nature of engineering[1-4]. Alternatively, group exams encourage team-based problem-solving seen in professionalengineering settings [1-5]. This format aligns with the framework of social constructivism whichstates that collaborative activities enhance learning by allowing students to construct knowledgethrough authentic interaction with others [6,7]. Furthermore, in addition to evaluating basicstudent application
identifiedimpactful outreach approaches, including connecting with student organizations to more directlyreach underrepresented populations, create programming, and build relationships. Findings alsoallowed for the development of system-wide learning materials and interventions optimized toreach this student group.Introduction Libraries are essential for student success, contributing to both academic achievementand feelings of belonging on campus – key factors in retention and post-graduate outcomes.Despite longstanding efforts to increase diversity in STEM fields, computer science andengineering programs contain proportionally fewer women than other STEM fields, both inengineering programs [1] and in professional roles [2]. Researchers sought
a structured process that typically follows a series of well-defined steps to achieve optimal solutions for engineering problems.[1], [2] Thecommon steps in mechanical design include identifying the problem, establishingdesign requirements, generating concepts, analyzing and selecting the mostpromising concept, creating detailed designs, and finally prototyping and testing.Each step builds upon the previous one, ensuring that the final product meets thefunctional, economic, and safety requirements. Effective mechanical design ofteninvolves iterative refinement, where feedback from analysis and testing loopsback to earlier stages to improve the design further.The advent of AI tools like ChatGPT has introduced both opportunities andchallenges
. ©American Society for Engineering Education, 2025 MSI Faculty on the Rise: Strengthening Federal Grant Proposals through Cross- Institution Collaborations and NetworkingIntroductionMinority Serving Institutions (MSIs), such as Historically Black Colleges and Universities(HBCUs), Tribal Colleges and Universities (TCUs), Hispanic Serving Institutions (HSIs), andAsian American, Native American and Pacific Islander Serving Institutions (AANAPISIs), arecritically important higher education institutions that increase the representation of low-incomeand historically marginalized racial and ethnic groups in the workforce, including STEM fields[1]. Altogether, MSIs comprise 14% of degree-granting institutions in the United States
, through research and external evaluation, and as publication support. Most of his work is completed for Minority-Serving Institutions and he publishes regarding findings on a regular basis.Selinda Martinez, Laredo CollegeYan Xu, Del Mar CollegeYi Ren, Texas A&M University - KingsvilleDr. Antonio Guadalupe Carranza III, Laredo College ©American Society for Engineering Education, 2025Comparative Analysis of the Impacts on Students’ Interests in STEM through Implementation of Different Types of Learning ModulesAbstract With STEM jobs increasing by about 10% over the last few years, it is expected that“demand for skilled technologists will exceed the number of qualified applicants by 1 million
BYOE: A Multidisciplinary DIY Speaker Design ProjectIntroductionProject-Based Learning (PBL) is a key instructional method that engages students by havingthem tackle real-world problems through collaborative projects [1]. In engineering education,PBL not only integrates theoretical knowledge with practical application but also fosters criticalskills such as collaboration, communication, and innovation. Research indicates that PBL is aneffective pedagogical approach in engineering education [2] and is an ideal pedagogy to employat the first-year, general engineering level, to develop these essential skills early on.In the first year at the University of Melbourne (Australia), students interested in engineeringtake foundational science courses