consider the Arduino Nano 33 BLE with anembedded 9-axis inertial sensor, which can be purchased for under $30 and provides an economicoption for large classrooms.Data CollectionThe acceleration data is collected in three steps. In step 1, data is gathered while the accelerometeris held still. In step 2, the accelerometer is quickly moved 0.15 m along its x-axis. In step 3, theaccelerometer is held still again for a short duration before stopping data collection. The sampledata collected using this process is labeled Acceleration_Raw in Figure 1 (b), where steps 1,2, and 3 correspond to the time intervals 0–0.75 seconds, 0.75–1.1 seconds, and 1.1–2.0 seconds,respectively. (a) (b
2 0 3 A- 1 0 2 0 2 B+ 2 1 3 0 1 B 2 1 3 0 0 B- 2 1 4 0 0 C+ 3 2 4 1 0 …2.3 Capstone design course at UNLVThe final semester capstone course, taken in the last semester of undergraduate study, engagesstudents in the civil engineering design and construction process from project planning throughproject objectives, collection
. B was the linchpin to theemergence of this culture. We elaborate on the nature of the hyper local EfSC culture in theactivities students undertook and discuss the implications for justice-oriented K-12 engineeringeducation.Introduction This study has a background canvas with segments that one must understand in thecontext of the study. Those segments are 1) the development of engineering educationhistorically, 2) teacher’s wealth that is infused within the learning environment, and 3) teachers’integration of engineering education in current curriculum. Sociohistorical narratives about what counts as engineering, what it means to be trainedas an engineer, and who can be labeled an engineer can be traced back to the
acceptable,as the goal of this study is to develop an initial, exploratory understanding of how our 3D modelsinfluence Statics problem-solving, rather than to generalize to broader populations.MaterialsTwo similar 3D statics problems were developed for this study. Figure 2 shows the 2D isometricimages of the system and their problem statements. These problems share similar componentssuch as supported by journal and thrust bearings, a cable or a strut, distributed forces, and oneconcentrated force. A plate ABCD is rigidly connected to a cylindrical rod. This rod-plate structure is then supported by a journal bearing at A, a thrust bearing at B, and a cable tied between point C to E. It is assumed that the cable is pinned to something rigid at
sentences. [10 points]2. What did the speaker share about? Provide a one-sentence summary to reflect the speaker'slecture. [10 points]3. Summarize the guest session in 3 paragraphs (1 paragraph for each prompt below): a) Provide 1 paragraph summary of the guest speaker's lecture. [20 points] b) What is the most interesting thing that guest speaker shared? Explain why? [20 points] c) What is one way in which the guest speaker helped to improve your understanding of the roles of a Civil/Environmental Engineer? [20 points]4) On a scale of 1-5 (with 5 being the most beneficial), how beneficial was the guest lecture?Provide a reason for your rating. [10 points]5) What suggestions do you have for future guest speakers? [10
the return to in person learning many educators are now utilizing educational multimediacontent more than ever. The research presented provides strategies and lessons learned fromimplementing AI to more efficiently and effectively create video content that may otherwise beoutside of the typical skillset of engineering educators.MethodsTwo educational videos were created on the topic of systems-level thinking applied to civilengineering infrastructure. One video (Video A) was created using traditional productionmethods and the other video (Video B) was created using AI. The educational content, hereinreferred to as the “script”, was identical for both videos and was developed by a team of civilengineering faculty with over a decade of teaching
, students were assigned a MATLAB-based projectfocused on solving an engineering problem focused on projectile motion using variousprogramming approaches. The details of this project are provided in Appendix A. The complexityof the computations made manual calculations impractical, necessitating the use of MATLAB forefficient execution. Students were required to develop their own code independently but wereencouraged to seek assistance from ChatGPT 4.0 whenever they encountered difficulties.ChatGPT provided hints, suggested debugging strategies, and explained coding principles asstudents worked through their solutions. An example of this is presented in Appendix B, whichoutlines the procedure for solving the first part of the project.After
miniaturized robots using Micro-Electro-Mechanical Systems technologies and robot education for STEAM. ©American Society for Engineering Education, 2025 Enhancing Assessment of Student Engagement in Face-to-Face Global Project-Based Learnings (gPBLs): Adding Peer Assessment to Improve Slack-based EvaluationAbstractThis study aims to introduce and evaluate a peer assessment method as a complementaryapproach to Slack-based engagement assessment in face-to-face group work. The participantswere students who attended a Japan-Thailand joint global project-based learning (PBL)workshop held in 2024. Posts made on Slack were classified into three types—A, B, and C—according to their level of
, M., & Sniderman, B. (2017). The smart factory: Responsive, adaptive, connected manufacturing. Deloitte Insights, 31(1), 1-10. [3] NAE Grand Challenges for Engineering, http://www.engineeringchallenges.org/challenges.aspx. Accessed, October 2021. [4] Törngren, M., Bensalem, S., McDermid, J., Passerone, R., Sangiovanni-Vincentelli, A., & Schätz, B. (2015, October). Education and training challenges in the era of Cyber-Physical Systems: beyond traditional engineering. In Proceedings of the WESE'15: Workshop on Embedded and Cyber-Physical Systems Education (pp. 1-5). [5] Cyber-Physical Systems Virtual Organization, https://cps-vo.org/group/edu/courses. Accessed, October 2021. [6] Lieu Tran, T. B., Törngren, M
included in the rubric and a graded outcome.Civil A A- B+/B B-/C+/C C-/ D / FEngineeringStudent OutcomeTEAMWORK. Exemplary in most Exemplary in two Satisfactory or better Marginal or better Not proficient in areas: all areas:An ability to 1. Providing areas and 1. Providing in all areas: at least one area:function leadership satisfactory in all leadership 1. Providing 1. Providing 2. Creating a 2. Creating a
-Aided Design (CAD)software was used to design three-dimensional items, which were subsequently 3D printed toproduce tangible models as part of the development process [21]. Cutting planes were depictedon laminated paper so that participants could sense the planes' junction and direction. Thisphysical modification allowed for non-visual exploration while maintaining faithfulness to theoriginal MCT. To cut down on the amount of time required to finish the test, the TMCT test isdivided into two subtests, A and B, each with 12 questions and the same degree of difficulty. Toguarantee accessibility, comfort, and equity for all participants, especially those with visualimpairments, the Tactile Mental Cutting Test (TMCT) was administered in a
shifted toward very good. Fig. 4a Fig. 4bFigure 4. Student responses to research and EM survey questions before the CURE (a) and after theCURE (b). Fig. 5a Fig. 5bFigure 5. Student responses to research and EM survey questions before the CURE (a) and after theCURE (b).One of the questions asked on the post survey was “Overall, do you think that participating in researchwas valuable for your learning? Please Explain.” The following are student comments from the postsurvey answering this question. The overall trend of the responses was positive, and it was evident thatthe students regarded the research as being valuable in some way to their learning.A sample of student comments in the post survey have been included below: ● This has been a very
would serve, students used an ideation process called“bisociation”. Bisociation, a concept introduced by Arthur Koestler in his 1964 book “The Act ofCreation” [17], refers to the process of connecting two previously unrelated matrices of thought toproduce new insights. Some students used local street art (murals) as inspiration, others diverseobjects like busses or pianos. In groups of 3 or 4, students designed their bridges and presented them to their peers and othercommunity leaders, as shown by the pictures below. Figure 1: (a) A group of students showcases a bridge inspired by the music scene of Jefferson Street – A piano, and (b) A group of students showcase a “connections” bridge, with gravel that will mix the more people walk
iterations of the course, the grading breakdown was 30%exams, 40% projects, and 30% practice assignments. WPI does not award plus and minus gradesand students who fail the course earn a “No Record” (NR) which does not impact their GPA.This results in 4 possible final grades in the course: A, B, C, and NR.A typical section of our course contains 75 to 150 students. To manage the grading workload,programming assignments require students to write programs to process user input and produceoutput with a specific format. This allows us to use an autograder to automatically run studentprograms and check the output. All projects are submitted through the Gradescope platformwhich integrates with Canvas [9]. When a student submits their program, Gradescope
Freq. % 1. Which of the following strategies best ensures that civil engineering projects address community and stakeholder needs? a. Relying solely on expert opinions for design decisions. 0 0% b. Conducting comprehensive stakeholder engagement and incorporating their feedback. 16 94% c. None of the above 0 0% d. Don’t know. 1 6% 2. How can civil engineering projects effectively integrate local cultural factors? a. By standardizing designs globally to ensure consistency
figures seen in the currentmodel would be addressed in upcoming versions, possibly in the near future. Dynamics studentsalso showed optimism, but with more caution. Half were optimistic, while none were highlyoptimistic. Instead, 16.7% were neutral, and a notable 33.3% were cautious, suggesting a degreeof skepticism. Very few students expressed concern about AI’s future. Only 4.3% of Staticsstudents were cautious, and no students in either class identified as pessimistic or highlypessimistic. Figure 7: Students’ Optimism About the Future of AI Technology.To better illustrate the errors in ChatGPT’s solutions, successful and unsuccessful responses fromChatGPT 4.0 are presented in Appendix B. An interesting concern that emerged was
DS to ensure feasibility, alignment with course goals, and an AUKUS nexus. Problemstatements are as follows: 1. DS-41: The Diplomatic Security Counter-Unmanned Aerial System (C-UAS) Program Team needs scalable acoustic array detection capabilities in order to successfully detect modified adversary unmanned aerial vehicles (UAV) that do not emit signals detectable by traditional radio frequency (RF) systems and radars. a. Team n: 5; site visit: IEEE Conference in Hawaii b. AUKUS connection: Drone technology is a core component of AUKUS Pillar 2 [9] 2. DS-47: United States Embassy security personnel within Diplomatic Security need explosive detection equipment with more robust analysis
printing and additive manufacturing (AM) technologies, such as Material Extrusion Method (Fused Deposition Modeling (FDM)/Fused Filament Fabrication (FFF)), Binder Jetting, Stereolithography (SLA), and Selective Laser Sintering (SLS)This section presents the structure and delivery of the workshop as well as the summary of thecontent presented, as illustrated in the figures below, Figure 1a and b.Figure 1. a) Tentative schedule of Day 1 b) Tentative schedule of Day 2 (Homework assignments and Hands-are marked on the schedule)Introduction to Rapid ToolingThe concept of rapid tooling was defined along with rapid prototyping and rapid (additive)manufacturing. These three were presented as the industrial
particular exercise as "passing" when the final answer is incorrect may feel foreign, but is morelikely tied to a published course objective (such as "Mastery of DC circuit analysis by node andmesh methods") than the prerequisite skill of solving a series of linear equations. Bundle LabGrade 11 complete labs A 10 complete labs and 1-2 remaining tokens AB 10 complete labs and 0 remaining tokens B 9 complete labs (must include labs 5-7, and 9) and 1-2 remaining BC tokens 9 complete labs (must include labs 5-7, and 9
century. Washington, DC: The National Academies Press, 2004.[3] ABET, “Criteria for Accrediting Engineering Programs, 2024 - 2025,” ABET, https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering- programs-2022-2023/ (accessed Jan. 1, 2025).[4] L. Z. Bloom, “Why graduate students can’t write: implications of research on writing anxiety for graduate education,” Journal of Advanced Composition, 1981, vol. 2, no. 1/2, pp. 103 – 117, 1981.[5] B. Holmes, T. Waterbury, E. Baltrinic, and A. Davis, "Angst about academic writing: Graduate students at the brink," Contemporary Issues in Education Research (CIER), vol. 11, no. 2, pp. 67-72, Apr. 2018, doi: 10.19030/cier.v11i2.10149.[6] Y. Lee, “The
today exists at a very interesting transition, with a new generation of industrial revolution (Industry 5.0,hereafter termed I.D. 5.0; a table of abbreviations/acronyms used in this work is presented in Appendix B) beingushered in with the unprecedented rise of Artificial Intelligence (AI). A direct impact of this is a pedagogical revolutionin Higher Education Institutes (HEIs), leading to the swift transformation of Education 4.0 [12, 50] to Education 5.0(hereafter referred to as E.D. 5.0). Some hallmark identifiers of E.D. 5.0 are the seamless convergence of intelligent 1tutoring, robotics, and the Internet of things (IoT) [1], Machine Learning (ML) [1,12], Augmented and Virtual
the southeastern US during Spring 2024. Ineach course, we randomly assigned students to an experimental group, who were tasked withcreating SCRVs, and a control group, who were not. We compared the exam scores of students bycondition. We also compared the exam scores of students based on whether they submitted in thelast 3 hours before the deadline or not. We found that, in Course B, the average exam score washigher in the experimental group, while in Course A, there was no significant difference inaverage scores. We also found that early video submission (before 9 PM on the due date) wascorrelated with higher exam scores and vice-versa.IntroductionHistorically, prior programming experience and self-efficacy have been shown to lead students
artificialintelligence and autonomous navigation applications crucial for lunar and planetary rovers[5], aswell as terrestrial utilization[6].Agilex Limo ( Fig 1(a)) and Scout Mini (Fig 2(b)) used in this work are multi-modal mobile robotdevelopment platforms that connect to open-source ROS and the Gazebo simulator, grantingaccess to significant reserves of free demos and sample programs for artificial intelligencedevelopment, autonomous navigation, mapping, obstacle avoidance, and route planning. Aspecially designed simulation table ( Fig. 1(b)) has also been utilized for simplifying the processof testing model applications. Fig1(a): LIMO Fig1(b): Simulation Table Fig1(c):Rosmasterx1 Fig1(d):MicroPi5UMES robotics lab has also acquired a
various options for eachquestion for the faculty, and corresponding figures showing the survey results are presented inTable 1.Table 1. Survey questions for faculty Survey questions and options Figure number 1. Which of the two options best describe you? Figure 2 (a) • I have a background in architecture at the SOA • I have a background in architectural engineering at the SOA • I have a background in both architecture and architectural engineering at the SOA 2. Have you supervised a student for the GC program at the SOA? Figure 2 (b) • Yes • No 3. While the
the study, 9 interviewees discussedeither growth or fixed mindset despite not being explicitly asked about it by the interviewer. Thesestudents are group A. The pseudonyms and code count for each of these are in the first 10 columnsof Table 1. The sum of the counts for the remaining 5 interviewees (Group B) are given in the left-most column. Four of the students in group A intended to major in either electrical or computersystems engineering – fields known for requiring a lot of programming; none of the students inGroup B intended to do so. Group B students declared positive self-efficacy and utility value muchmore frequently than they did negative self-efficacy or utility value.Table 1: Counts for each code category for the nine interviewees
for that faculty member for a given academic year andprepared for coding in the qualitative data analysis software Dedoose [22]. We coded facultyresponses using a set of codes (Appendix B) derived from a previous systematic literature reviewon this subject [23], using only those codes aligning with our study’s overarching RQ relating toCURE implementation and faculties’ perceived outcomes. We also added additional codes toaddress the specifics of the course projects and research stakeholders through an emergentcoding process. To verify inter-rater reliability in our coding process, the two coders (M.G. & J.H.) each coded a portion of the data, and spot-checked the coding until consensus was reached.In our analysis we sought to i
Inertia 106Thermodynamics 1072 Enthalpy of mixing ideal gases 1396 1073 Entropy of mixing ideal gases 1387 1287 Enthalpy of mixing two-non-ideal liquids 904 C A D BFig. 1. Mechanics Concept Questions (A) 4975, (B) 4976, (C) 5703, and (D) 6141 A
of over 8,000.The same lab report was assigned to 158 first year UG students in the following academic year(2023 – 2024) but with a 3,000 word limit imposed (see Figure 1 (b)). In this instance, theaverage mark scored by the students was 66.9 % with a standard deviation of 8.6 %. In a similarway to the initial trend observed when no word limit was imposed, there is a positive correlationbetween the number of words used and grade achieved (Pearson CorrelationCoefficient = 0.524738). The word count data shows that the majority of submissions have wordcounts of between 2,500 and 3,000 words with an average word count of 2,828 and a standarddeviation of 333.The spread of data again in the marks is significantly large. The comparable spread of
exercise and also to collect their opinions on extending thetroubleshooting activities to other circuit courses. Additionally, two open-ended questions wereincluded at the end of the survey to gather feedback on the most challenging aspects and the mostbeneficial parts of the laboratory exercises. The eight survey questions are provided in Table 2along with their respective rating scales. # Questions Answers 1 Rate the difficulty level of the troubleshooting tasks. a) Easy b) Moderate c) Challenging
. Figure 3. Robert Morris bust before its restorationThe project team included the lead author, a graduate assistant, and the laboratory engineer. AKonica Minolta Vivid 910 scanner (Figure 4a), a laser scanner, was used for the digitizationprocess. The camera had the ability to capture large free-form objects with a dimensionalaccuracy of 0.127 mm. Because of the geometric complexity of the bust, special attention had tobe paid to cavities and shiny surfaces. Since the scanner did not have the flexibility to reachhard-to-access details, the scanning process became more tedious than originally expected. Figure 4. a) Konica Minolta scanner b) Manual turntable built for the projectThe main difficulty encountered during the scanning process