processes rely on data sets obtained from numerical simulations, experimentalobservations, or combinations of both. Nikolakis et al presented a digital twin driven frameworkto enable the optimization of the planning and commissioning of human-based manufacturingprocesses using simulation [18]. The adaptation of ML for MAM is relatively new, and studieswere demonstrated in process parameter optimization for defects, geometric deviation, and in-situ imaging for real-time defect detection [19]. A detailed view of applications using ML and AIin MAM for different areas such as defect detection and correction, reducing residual stressesand failure during and after build, in situ metrology and design accuracy, microstructural design,alloy design and
since it had the highest thrust out ofthose tested. From a performance standpoint, the standard 2-blade propeller stood out among thebest, but another outstanding propeller type was the 2-blade injection molded toroidal propeller.It was quieter than other propellers and this is reinforcing the notion that one of the benefits ofthe toroidal propeller is its relative lower sound level. An important advancement in dronetechnology has been to decrease the noise emitted by drones, so finding a more quiet propellerdesign is an important step toward this goal.The university plans on continuing this experiment as part of an aerodynamics lab. There are acouple of ideas to expand on the tests, with the first being to experiment with different
, affiliate and mentor faculty and instructors. They also presented at the Provost Teaching and Learning Symposium as shown in Figure 2. • Attending two advanced workshops with Faculty at the home institution • Peer Mentoring: Students will mentor their ENES 396 peers and provide evaluation on their teaching practices and facilitation throughout the semester. This includes them attending one lecture/discussion of their peers. • Team lead and facilitate one ENES 396 discussion/lecture. Students will plan and facilitate a topic in ENES 396 or in their own classrooms that will be approved by the instructor.After completing ENES 397 and a research project, students earn undergraduate CIRTLassociate certification
thatderived from histories of colonialism and Empire” [10]. MIT was in no sense unique amongresearch institutions in tying itself to U.S. geopolitical interests but with its very high standingamong universities it achieved an extraordinary level of influence and funding during the secondhalf of the twentieth century.In June 1971, Gordon Brown, formerly dean of Engineering at MIT, accompanied by advisorsfrom the international consulting firm Arthur D. Little, arrived in Iran with the purpose ofdeveloping a comprehensive plan to develop a satellite campus of Aryamehr University ofTechnology (AMUT) in Isfahan, the third largest city of Iran located approximately 200 milessouth of capital Tehran. AMUT had been established just 5 years prior by the Shah
negative potential (N) and typically peaksbetween 100 and 300 milliseconds after stimulus onset.In a prior investigation [24], we conducted an ERP-based study to assess the impact of indoortemperature on the inhibition control ability among engineering students [24]. Cognitive inhibitioncontrol denotes the capacity to consciously suppress or override automatic thoughts, impulses, orbehaviors that might be irrelevant or unsuitable within a specific context [25-26]. This abilityforms an integral part of the executive functions, encompassing higher-order cognitive processesvital for self-regulating, planning, problem-solving, and overall academic achievement. Ourmethodology involved employing the Stroop/Reverse Stroop paradigm to evaluate
://www.researchgate.net/publication/228378064[12] Michael J. Fernandez, Julie Martin Trenor, Katherine S. Zerda, and Cassandra Cortes3, “First Generation College Students in Engineering: A Qualitative Investigation of Barriers to Academic Plans,” in 38th ASEE/IEEE Frontiers in Education Conference, IEEE, 2008.[13] J. P. Martin, S. K. Stefl, L. W. Cain, and A. L. Pfirman, “Understanding first-generation undergraduate engineering students’ entry and persistence through social capital theory,” Int J STEM Educ, vol. 7, no. 1, Dec. 2020, doi: 10.1186/s40594-020-00237-0.[14] Dina Verdín and Allison Godwin, “First in the Family: A Comparison of First-Generation and Non-First-Generation Engineering College Students,” in Frontiers in
e. Differentiated Instruction e. Prerequisites f. Alternate plans. f. ContextFigure 2: The ECP Module Instructional DesignAdditionally, by incorporating active learning techniques that seek to develop student self-foundlearning techniques, the pedagogy should pique students' interest, which can lead to deeperengagement with the material. This increased learning capacity and engagement can promotedeeper cognitive processing, enhancing schema formation and automation.MethodologyThis study provides an overview of the investigation in the chemistry department a HBCU usinghands-on mobile devices consisting of an input and output board. The purpose of this approach isto replace the traditional laboratory
support.Introduction“There’s Plenty of Room at the Bottom.” Richard Feynman (1960)Artificial intelligence (AI) methods are revolutionizing undergraduate science, technology,engineering, and mathematics (STEM) education through early forecasting of end-of-semesteracademic performance [1, 2, 3, 4, 5, 6]. These methods typically leverage numeric features ofstudents’ academic trajectories to train AI models. The advent of Transformer-based [7] largelanguage models (LLMs) [8, 9, 10, 11] has significantly expanded the potential for cross-domainapplications due to their extensive knowledge bases [12, 13] and complex task-solvingcapabilities through basic reasoning [9, 14, 15] and planning [16]. Fine-tuning these LLMs viatransfer
-2score. Furthermore, t-test results may be misleading as assumptions (e.g., independence, randomsampling, normality, and equal variance) were not fully met. Due to the missing data for one ofthe Manual Dexterity tasks (Threading Lace), we specifically focused on analyzing theperformance in the Aiming & Catching and Balancing tasks.Future research with a more prominent and representative, randomized sample with independentdata, along with improved data collection strategies, is essential to provide more reliable insightsinto the effects of VR interventions on motor skills in children with ASD. Non-parametric testingto establish statistical significance may also be necessary. In future studies, we plan to developan immersive VR system using a
assumptionsabout education that have been strongly influenced by outcomes-based education paradigms.Defining CapabilitiesTo explore the more comprehensive and student-focused model represented by the capabilityapproach, the RED team spent a significant amount of time framing opportunities in a way thatcould distinguish them from outcomes. In the work done to date, the RED team has definedopportunities for students in an undergraduate engineering degree program. We have not yetfocused on identifying opportunities for faculty or staff, although a similar exercise is planned inthe future. To identify opportunities, we drew from the literature cited previously to set up a listof criteria that helped us distinguish opportunities from outcomes. This list is
, and the focal point forthe data in this research effort comes from one of the courses in the infrastructure CES. Thissequence is intended to teach the students about the design, analysis, and construction of the builtenvironment [1]. The courses are comprised of MC300: Fundamentals of EngineeringMechanics and Design, focusing on introductory statics and mechanics of materials; CE350:Infrastructure Engineering, teaching fundamentals related to major infrastructure sectorsincluding water, power, transportation, waste management, etc.; and CE450: ConstructionManagement, providing instruction on how to plan and execute the construction of thepreviously studied infrastructure components and systems. Typically, students take these threecourses in
IP address to ensure stable accessto the internet, to which an online user interface and data cloud are connected on the consumerside. The online interface allows the user to view pictures in the data cloud and request picturesto be taken directly from the device itself. A plan to possibly be implemented by futureresearchers is for the device to capture images and send them to the cloud at regular intervals, butthe current focus of the team is to have the device send pictures per request of the user.The device itself is enclosed in a mixture of Grey Pro resin and PLA. It is powered by a 12 Vsolar PV panel installed beside the probe itself as shown in Figure 4. This PV module includesseveral valve-regulated sealed lead acid/absorbent glass
common thread from UDL, EM, and HCD is collaboratively identifying solutions to meet theneeds of many users. As such, methods from all three frameworks were applied throughout thisproject to identify potential improvements to the bioinstrumentation lab.Background on Participatory Action ResearchOne common application of participatory action research (PAR) is developing knowledge andidentifying opportunities for quality improvement. The PAR approach combines participants andexperts in the research of social practices [12]. Generally, PAR includes cycles of reflection,planning, action, and observation. In education, PAR can be employed by instructors who wishto improve their teaching or courses by gathering evidence of teaching effectiveness
inseparable in everyday engineering practice, the boundaries drawn between them are inevitably arbitrary. [10, emphasis in original]To bring the technical and social together in our curriculum’s Design Spine, the demonstratedabilities developed in the undergraduate career as described in ASCE’s Civil Engineering Bodyof Knowledge: Preparing the Future Civil Engineer [9] were used to develop a plan for ourdesign spine. Table 7 lists the level of skill and demonstrated abilities from the CE BOK3 andidentifies those that have been incorporated into the Design Spine. Note that including skills anddemonstrated abilities in the Design Spine does not preclude other courses in the curriculumfrom also including these skills and demonstrated abilities. In
Paper ID #42530Designing and Evaluating Virtual Reality Applications for a Machine DesignCourseDr. Andrea Gregg, Penn State University Dr. Gregg’s career sits at the unique intersection of instructional design, faculty development, educational technology leadership, curriculum planning, and educational research and evaluation. She is an established higher education professional with over twenty years’ experience in online, distance education. As the manager of an instructional design (ID) team responsible for the design, development, and support of nearly 150 courses, she worked with a diverse portfolio including STEM
height was at its maximum height of sixfeet. This student suggested including stools as part of the lab equipment. Another studentsuggested including step ladders as well as a towel for leaks. The addition of stools or step-ladders would significantly reduce the portability of the classroom kits, so we plan to revise thedirections in the lab manual for the third and highest penstock height. We will revise thedirections to instruct students to raise the upper reservoir height to six feet “or as high as you cancomfortably reach.” The exact height is not critical; we simply want students to observe thegreater turbine power output and energy storage at higher reservoir heights.V. Conclusions The DESSERT project involved the creation of
professional emails, and types of listening. Participantsare given opportunities to practice skills through engaging activities such as identifyingerrors in professional emails and taking the MBTI assessment and participating indiscussions about the results.Career Development and ProfessionalismThe career development and professionalism workshop trains scholars on how to create aprofessional image and how to demonstrate to employers plans of self-improvement with aframework outlined by the NACE competencies. The workshop also stresses the importanceof using assertive communication in a professional setting and how to create an elevatorpitch. Participants are given the opportunity to apply skills through drafting and practicingtheir elevator
demographics survey,” AEESP Newsletter, October 2023, pp. 3-5, https://aeesp.org/sites/default/files/docs/AEESP-Newsletter-October-2023.pdf[4] American Association for Aerosol Research (AAAR). About AAAR. https://www.aaar.org/about-aaar/about-aaar/ Accessed Jan. 14, 2024.[5] Water Environment Federation (WEF). About WEF. https://www.wef.org/about/Governance/about/ Accessed Jan. 14, 2024.[6] Water Environment Federation (WEF). Diversity, Equity, and Inclusion. https://www.wef.org/topics/hot-topics/diversity-equity-and-inclusion/ Accessed Jan. 14, 2024.[7] American Academy of Environmental Engineers and Scientists (AAEES). Strategic Plan: January 1, 2024 through December 31, 2029. Oct. 2023. https://www.aaees.org
ReviewEducators in engineering are balancing the demands of research with teaching responsibilities.They face challenges in curriculum development, ensuring alignment with evolving accreditationgoals and industry trends, particularly in rapidly advancing areas like IoT and cybersecurity.Administrative duties and student engagement are other significant concerns as educators striveto make learning interactive and engaging in large, often lecture-style, classes.However, there are some barriers to transitioning from face-to-face to online teaching as itrequires intentional planning and preparation, more than needed in a traditional face-to-facecourse [9]. Novice faculty may not have enough experience with teaching, the subject matter,students, and
brainstorming methods in different engineering design contexts. • Verb: Evaluate 6. Create a structured plan for conducting a successful brainstorming session in a team setting. • Verb: Create 7. Compare and contrast traditional brainstorming with electronic or virtual brainstorming tools. • Verb: Compare and contrast 8. Synthesize multiple ideas generated during a brainstorming session into cohesive design concepts. • Verb: Synthesize 9. Design and implement variations of brainstorming techniques tailored to
actors and is categorizedwith labels such as anger, happiness, sadness, neutral, surprise, fear, frustration, and excitement.Each entry, typically a few seconds long, is an utterance annotated by 3 reviewers.In this study, we select only utterances that are classified as anger and neutral, totaling 3411 audioclips. Here anger is the class of interest and set as class 1 and neutral as class 0. This selectionaligns with our goal of examining transitions from a neutral state to a negativity state, simulatingscenarios where, detection is crucial for an AI's planning and reaction in collaboration with humanresponders. An application in engineering education is to detect students' negative feedback duringa lecture.The audio clips from the IEMOCAP are
inside of this framework and the ongoingcollaboration fosters contribution toward larger, complex community issues – broader impacts.By working to develop a faculty and professional network of diverse mentors and leveraging thisfor targeted recruitment, institutions build a supportive and diverse learning environment todeliver an immersive internship that provided connection to the community while contributingto important change.Replication in the Second YearIn the first year of replication, the University of Notre Dame shared their orientation materials,and project planning strategies. Despite this aspect to facilitate the launch and alignment of thedifferent sites, each site was recognized as having a unique approach. Differences in
vibration data from theexperimentation. They finally analyzed the experiment data using an FFT. Students worked in ateam to solve different project tasks. Sometimes team members did not have the prior technicalknowledge required for a task, but they were able to look for solutions by having discussions withthe project advisor and using learning strategies to find resources.For future work, the capabilities of the system can be extended to online analysis. Currently, theFFT was analyzed off-line. The authors plan to perform online analysis using LabVIEW capability.In addition to this, the system can integrate with a more physical measurement for other advancedmanufacturing processes. For example, the NI 9244 can be integrated for electrical
, system industry standards, • information system • Apply safety principles to engineering domain support product investigation, knowledge, analysis, planning, design, • knowledge of the CAV safety development, testing, regulation (certificates, evaluation, etc. standards, principles)The results show that mobility engineer-related positions require domain knowledge frommultiple traditional engineering disciplines, including transportation engineering, electricalengineering, mechanical engineering, information system engineering
students who otherwise face barriers to accessing traditional campusresources due to logistical constraints. Furthermore, our findings underline the importance ofconsidering socio-economic contexts when implementing technological educational tools, toensure they are effective across diverse environments.Looking ahead, our research will continue to develop and expand the capabilities of remotelaboratories to further enhance their accessibility and effectiveness. We plan to improve thetechnological infrastructure of remote labs, ensuring they are robust enough to handle advancedsimulations and support a dynamic learning environment. This includes integrating insights fromthe current study into enhancing the MELODY model’s framework, specifically
of essential skills crucial for success in an increasinglyinterconnected global environment. These skills encompass social and personal responsibility,critical thinking, visualization, decision-making, planning, creativity, cross-culturalunderstanding, strong communication skills, effective presentation, interpersonal competence,and the ability to discern when and how to select and utilize technology and tools that are mostsuitable for a given task [15].Hence, the purpose of integrating technology into the teaching and learning process is to enhanceproductivity, improve the effectiveness of current practices, and introduce pedagogical changesthat benefit education. This incorporation of technological tools fosters increased
understanding at each phase in thecourse. With the addition of the writing instructor, the IE instructors can better focus on andassess the technical descriptions of the problems and proposed solutions. Students also noted thatthe writing instructor was a helpful resource. For example, in the course evaluations one studentnoted that the writing instructor, “was really helpful and definitely impacted our written piecespositively.” Another student noted the writing instruction “really encouraged me to apply theskills in other writing. I realize that I am more critical about my writing and more thorough whenproofreading.” A third student said the writing instructor “made writing easier.”Moving forward, we plan to continue to examine summative assessments
adopting best practices while avoiding pitfalls.Keywords: Cloud Computing, Cyber Security, Pair Teaching, Cloud+, Integrative Lab, Project-based Learning.Introduction and MotivationWe have recently created a new bachelor’s degree in cyber security (BSCS) that is part of a newlycreated Informatics and Engineering Systems department. Details of the degree are presented in[1] and [2], where we cover the overall objective and learning outcomes, course details, and thedegree plan. One new course we offer is Cloud Computing and Security, under the course numberCYBI-3346 Cloud Security. The course is considered a junior-level course. The full coursedescription with prerequisites is given in Table 1, while the overall architecture of the course isgiven in
-AI for enhanced learningRecent papers have explored the integration of G-AI into student learning, alongside conductingdata analysis on its effects on student learning and creativity. Despite these efforts, considerablework remains in identifying effective strategies for implementing AI within educationalframeworks to boost student learning outcomes 13,14 . One such work by Michel et al. discussesutilization of personalized feedback and supplementary learning resources with G-AI to promoteself-directed learning, especially among students with language barriers, learning disabilities, orthose engaged in distance learning 15 . Additionally, their work also mentions ideas for instructorsto create lesson plans, resources, and assessments
, and contributes to the existing knowledge gapabout marginalized populations’ experiences and success in engineering. Designing evaluationmethods to also allow research into student learning and identity formation is a powerful way toaddress this inequity. Our aim was to understand students’ individual research experiences alongside theirconceptions of what science is and their self-assessments of identity, sense of belonging, and 1professional skills. These insights serve as indicators of more valuable outcomes of learning andprofessional development than the common over-focus in REU program evaluation on whetherinterns plan to attend