students will be most successful if topics are integratedthroughout the full undergraduate curriculum. Supported by the ASEE Engineering for OnePlanet (EOP) Mini-Grant Program, we sought the following objectives: (1) revise materials forCE 218 (Sustainable Engineering) to introduce EOP, (2) revise materials for CE 303(Introduction to Construction Engineering) to integrate EOP outcomes, (3) map EOP outcomesto existing required undergraduate courses, (4) engage CE faculty by introducing the EOPframework and providing opportunities for implementation, and (5) develop a guidancedocument for faculty interested in integrating EOP in courses. These efforts were assessed forboth courses at the University of Kentucky (CE 218 and CE 303) in collaboration
data, translate between textual and mathematical descriptions of systems, gain the skills necessary to implement and test ML functions in Python, and practice presenting data in easy-to-interpret plots. This paper concentrates on the set-up of the course and initial instructor reflections; we have not yet collected student data on how the course is meeting curricular goals.1 IntroductionMore engineering departments are offering, and sometimes requiring, courses on machine learn-ing (ML). Given the breadth of the subject area, it is no surprise that these courses vary consider-ably. Some ML courses focus on the implementation or “how to” aspects; these courses tend to becoding-heavy and may include learning objectives
project involves an on-campusweekend, during which students design and execute an experiment using three or more of theinstrumentation techniques covered in the course. This collaborative project culminates in aresearch paper summarizing their findings. The course redevelopment has resulted in increasedenrollment, positive student evaluations, and several peer-reviewed publications. This modeldemonstrates a successful hybrid approach that ensures distance learners gain equivalent hands-on experience and research opportunities as their on-campus counterparts.IntroductionExplosives engineering is a specialized field that requires not only a solid foundation intheoretical knowledge but also the ability to design, execute, and analyze experiments [1
, Canada, and Singapore; his previous research interests were on nanomaterials for multimodal and deep tissue imaging, and biosensing applications. ©American Society for Engineering Education, 2025 Work-in-progress: Effectiveness of Checklists in Developing Technical Writing Skills1. IntroductionWriting laboratory reports is a foundational skill for undergraduate students in science andengineering disciplines that has long been emphasized by the National Academies, ABET, andprofessional organizations such as American Institute of Chemical Engineers [1-4]. However, aslaboratory instructors, we have often been less than satisfied with both the process of guidingstudents in
, engineering, and navigation. The module wasevaluated in a class of 25 students using pre- and post-tests and an opinion survey. Studentsfound the approach engaging and effective, noting that the combination of hands-on tools likeprotractors and interactive software such as GeoGebra helped demystify complex concepts.Survey results indicated increased confidence in understanding geometric angles and improvedproblem-solving skills, with many students appreciating the real-world connections made duringthe lessons.KeywordsAngles, Angle Addition, Angle Simulator, Geogebra, Geometry, Protractor, Angle MeasurementBackgroundGeometry is one of the most challenging areas of mathematics for students [1]. However, there iscontinued concern about students' low
Educational Reform and Research Activity (AY2024). Her research interests include: (1) Impacts and potential benefits of including humanities components in science and engineering degree programs (2) Innovative methods of assessment in science and engineering education, especially in the context of remote learning, hybrid courses, and collaborative international programs (3) Solving systematic issues that impact the effectiveness of science and engineering education programs, in both in-person and remote learning contexts. In recent years she has been a presenter at the following international conferences: World Educational Research Association (WERA): WERA Conference 2019, 2022, 2023, 2024 Asia-Pacific Association for
StudentsIntroductionThere is a strong and urgent regional need to increase the production of qualified cybersecurityprofessionals in the workforce. According to the U.S. Bureau of Labor Statistics’ OccupationalOutlook Handbook, jobs related to Information Security Analysis with responsibilities to planand conduct security measures to organization’s computer networks and systems are rated as oneof the fastest-growing jobs in the United States through 2020-3030 [1]. Georgia Department ofLabor predicts a similar trend and forecasts a 16.5% increase in Computer and Mathematicsoccupations in the state of Georgia through 2028 [2]. More specifically, Information SecurityAnalysis occupations are expected to increase by 34.0%, a rate way higher than the average forall
accountability measures and accreditation requirements[1]. One standard method used for continuous quality improvement (CQI) of instruction isthrough different feedback mechanisms [2] for instance, anonymous course review by students atthe end of course sessions. In this process, students provide anonymous evaluations throughfeedback, which is part of internal quality assurance conducted at the end of each course [3], [4].However, there is disagreement among experts and educational stakeholders on the effectivenessand benefits of these practices in the quality improvement of instruction [4]. There is, therefore, agrowing need for a shift towards more innovative and effective ways to qualitatively andquantitatively assess the quality of instruction. This
engineeringeducation. However, students often engage with these languages in two distinct ways: some usethem primarily for numerical analysis and linear algebra, while others leverage them as full-fledged programming languages [1]. The former group tends to write scripts for specific problem-solving, whereas students with prior coding experience develop functions and broadercomputational solutions. 1Students proficient in programming quickly recognize the advantages of structured problem-solving, allowing them to tackle complex engineering challenges more effectively than those whoview MATLAB solely as a mathematical tool. Programming is fundamentally about
be included incurricula of accredited institutions [1]. As a result, college textbook authors began to includeinformation about professional and ethical responsibility in their publications helping to furtherembed ethics in engineering curricula [2]. Over time, these trends have increased scholarlyinterest in the teaching of ethics in engineering educationThough there are two different goals for teaching engineering ethics—on the one hand cognitiveunderstanding, and on the other hand social and moral understanding and behavior—theinstructional methods used to accomplish both appear to be similar. To wit, they have often bothinvolved active learning (specifically use of ethical dilemmas), case studies, and problem-basedlearning [1]. A few
behavioralengagement rather than indicative of learning gains.Literature ReviewVideo is a staple of online higher education, offering a range of affordances that make it a versatileinstructional tool. It is well-suited for exposition, demonstrations, guided processes, and theclarification of complex concepts through narration paired with dynamic imagery [1]. Additionally,the medium supports self-paced learning [1], can aid in the management of cognitive load [2], mayenhance instructor presence [3], and has been shown to foster positive study habits among students[2]. Scagnoli, Choo, and Tian highlight a strong correlation between satisfaction with video learningand positive learning experiences [4], highlighting video’s importance in contemporary
investigation into the validation of theseinstruments supports a larger endeavor to advance assessment tools for entrepreneurialengineering education. Equipping engineering educators with adequate and nuanced assessmentstools could enhance the ways in which best EML practices in the classroom are evaluated withhopes of ultimately improving EML skillsets for engineering students entering professionalpractice.1. IntroductionEngineers are positioned to be impactful contributors to solving modern global problems such asclimate change, food shortages, and sustainable energy [1]. These complex modern challengesoften are ill-structured and require engineers to apply technical skills such as computationalmodeling to solve these problems [2]. Oftentimes, these
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
) Framework as aguide to integrate sustainability into engineering courses and curriculums. This work in progressdescribes an on-going study developing and delivering faculty development workshops to createadvocates for the Engineering for One Planet (EOP) Framework within their institution.Villanova University College of Engineering (CoE), in partnership with TLF, developed aproject with two nesting goals to provide: 1) knowledge and facilitate development of learningtools for faculty in their individual classes, and 2) a framework for institutionalization ofsustainability principles in engineering schools. While individual courses build students’sustainability knowledge and design application, fully adopting EOP in a curriculum will helpstudents 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
, 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
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
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
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
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
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
, 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