participation as meeting with their mentor(s) at least twicea semester and attending at least two program events in the Spring and an additional event in thesummer. Sustaining program participation by URM graduate students in STEM can bechallenging due to the demands on the student’s time for coursework and research. The Covid-19 pandemic also raised the barriers to recruit students and sustain engagement. Many of ourGREATS graduate students are first generation in STEM or come from lower socioeconomicstatus with limited financial resources. Therefore, we originally built in several incentives to recruitstudents and help promote their participation through the duration of this grant. The first incentiveis the opportunity to participate in the program
contribute to the advancementand better understanding of both Education for Sustainable Development and SustainableDevelopment Goals.Even though the spread of Sulitest in Europe (without France) and the Americas region hasreached 15% and 21% respectively [13], there is an invitation to higher education institutions toincrease the effort and knowledge of students towards sustainability. This research providesmeaningful insights to understanding students’ sustainability knowledge in higher educationinstitutions and strengthen the design of future sustainable global engineering courses.A sustainable future can be feasible if education for sustainable development is disseminatedworldwide.References 1. S. Ling, A. Landon, M. Tarrant, D. Rubin, “The
Undergraduate Engineering Education. Cambridge,MA:WorldwideCDIOInitiative.Crawley, E. F., & Hosoi, A. E. (2019). Moving Forward with the New Engineering Education Transformation (NEET)programatMIT-Buildingcommunity,developingprojects,andconnectingwithindustry.In2019 ASEEAnnualConference&Exposition,Tampa,Florida.Crawley,E.F.,&Hosoi,A.P.,&Mitra,A.B.(2018).RedesigningundergraduateengineeringeducationatMIT–the New Engineering Education Transformation (NEET) initiative. In 2018 ASEE Annual Conference & Exposition,SaltLakeCity,Utah.deGraaff,E.,Markkula,M.,Demlová ,M.,Kuru,S.,&Peltola,H.(2007).Innovativelearningandteachingmethods. In C. Borri & F. Maffioli (Eds.), TREE: Teaching and research in engineering in Europe
, innetworking courses to address the difficulty of teaching networking concepts to electricalengineering technology students.OMNet++ Network Simulation PlatformOMNeT++ is a framework and library that is essentially used to create and primarily simulatecommunication networks. The simulations are composed of individual modules written in C++and then connected to form larger components using Network Description Language (NED),OMNet++’s proprietary high-level language [11-13]. During the simulation, OMNeT++ willperform calculations given the user's parameters and then output the results. These resultsinclude throughput, queue times, round trip time, and more. These results represent theperformance of the communication network set up by the user. A library
current state of forensic engineering education.AcknowledgmentOne of the authors was funded by FIU University Graduate School Dissertation Year Fellowship,and this support is gratefully acknowledged. Any opinions, findings, conclusions, orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the FIU University Graduate School.References[1] W. DeWitt, L. Geddes, F. Johnson, and L. Reader, “A master of science curriculum in forensic engineering,” in 31st Annual Frontiers in Education Conference. Impact on Engineering and Science Education. Conference Proceedings (Cat. No. 01CH37193), 2001, pp. F2B-8. doi: 10.1109/fie.2001.963696.[2] R. J. Heywood, “Responding to
Agency. (2019). Community-port collaboration. Retrieved from: https://www.epa.gov/community-port-collaboration 3. Mendoza, D. L., Pirozzi, C. S., Crosman, E. T., Liou, T. G., Zhang, Y., Cleeves, J. J., Bannister, S. C., Anderegg, W. R. L., & Paine III, R. (2020). Impact of low-level fine particulate matter and ozone exposure on absences in K-12 students and economic consequences. Environmental Research Letters, 15(11), 114052. DOI 10.1088/1748- 9326/abbf7a 4. Cserbik, D., Chen, J.-C., McConnell, R., Berhane, K., Sowell, E. R., Schwartz, J., Hackman, D. A., Kan, E., Fan, C. C., Herting, M. M. (2020). Fine particulate matter
Entropy analysis of the EEG background activity in Alzheimer’s sequences to find repetitive patterns. More first few scale factors before reversing towards the disease patients. Physiological Measurement 27:241?53. repetitive patterns mean less entropy. end as shown in figure 3. 7. Molina-Pico A, Cuesta-Frau D, Aboy M, Crespo C, Mir?Martínez ○ Multiscale Entropy (MSE) : Calculate entropy P, Oltra-Crespo S (2011
conference papers and book chapters.Prof. Cheng Zhu, Rowan University Dr. Cheng Zhu is an assistant professor of civil engineering at Rowan University. His research primar- ily concerns multi-scale geomaterial behavior under coupled processes across various time scales, with emphasis placed on microstructure characterization, constitutive model formulation, and computational geomechanics, for applications in geological storage and energy geotechnics. Prior to joining the Civil and Environmental Engineering Department at Rowan, he worked in the Bureau of Economic Geology at the University of Texas at Austin. At Rowan, he teaches courses in geotechnical engineering and ge- omechanics. He is a recipient of James S. Lai
: Diagnosed with ADHD I have ADHD I find that this help me focus. It is an alternative to leg bouncing. I like the spinning chair.Keeping this in mind, it makes this device’s implication in schools and offices more useful, as people withissues focusing can use their chairs as a way to help them. This produces more energy. It does notnecessarily affect our product as a whole, however we believe it is notable enough to include. Reflectingon the results of our final design, we conclude that it would be an advantageous way to produce renewableenergy.References [1] S. Tyaglov, A. Sheveleva, T. Guseva, “Justification of the Need and Feasibility of Switching to Renewable Energy Sources for the Implementation of Sustainable
Learning, Skills for Scholars, PrincetonUniversity Press, 2021.[3] C. Dweck, Mindset, The New Psychology of Success, Random House, 2006.[4] S. McGuire, Teach Students How to Learn: Strategies You Can Incorporate Into Any Courseto Improve Student Metacognition, Study Skills, and Motivation, Stylus Publishing, 2015.
Instructor 3’s original CBG methodology: • Most students enjoyed the flexibility of CBG where they could move at their own pace and had a chance to recover from failures. • Infinite resubmissions increased the instructor's burden because the instructor needed to grade many assignments and had to give feedback in all cases. • Flexible deadlines could hurt students who have poor time management and increase the instructor burden (grading and feedback). Table 1 components used in the different trials Instructor 1 Instructor 2 Instructor 3
a growing number of STEM roles.Marginalized populations are disproportionately absent from these fields, which NationalScience Foundation (NSF) has sought to address through the funding of programs aimed atimproving STEM students’ success [1]-[2]. Thus, Baylor University created the Engineering andComputer Science (ECS) Scholars Program—a NSF-funded program to support the success ofhigh achieving, low income (HALI) STEM students. Because student success literatureoverwhelmingly evidences the positive relationship between involvement and success [3]-[4],this study explored how HALI STEM students in the ECS Scholars Program perceive andexperience involvement and success as related to their most salient identities.Guiding Research Question(s
which is part of the curriculum. Students work in 4–6-member heterogeneous groupsproviding a comfortable environment to ask questions and learn. SCLC further strengthens thelearning community built in the SSBP.Monthly Socials: To strengthen the learning community, 3 to 4 monthly socials throughout eachsemester will allow students to interact with invited professionals and upperclassmen in aninformal setting. Each monthly social will revolve around a theme and speaker(s), for example,reducing stress during midterms and finals, time management, setting high expectations,undergraduate research, international experiences, community engagement, etc.Progress Reports: Progress reports help students monitor their academic performance throughoutthe
–189, 2008.[2] S. Lonn and S. D. Teasley, “Saving time or innovating practice: Investigating perceptions anduses of Learning Management Systems,” Computers & education, vol. 53, no. 3, pp. 686–694,2009.[3] S. Patil and K. P. Adhiya, “Automated Evaluation of Short Answers: a Systematic Review,”Intelligent Data Communication Technologies and Internet of Things, pp. 953–963, 2022.[4] J. G. Borade and L. D. Netak, “Automated grading of essays: a review,” in InternationalConference on Intelligent Human Computer Interaction, 2020, pp. 238–249.[5] H. Aldriye, A. Alkhalaf, and M. Alkhalaf, “Automated grading systems for programmingassignments: A literature review,” International Journal of Advanced Computer Science andApplications, vol. 10, no. 3
broader academic literature and by practitioners in various areas.The following section shows a comprehensive literature review for each terminology. Later wewill focus on comparing the differences and common grounds between them in the practicalterm.Literature ReviewSystems The first term that we encounter in our discussion is the term system. Etymologically,the term derives from the Greek word s´ust¯ema and carries the meaning of “being put together”. Itcan be loosely considered as an organized collection of parts and, as an analytical term, suggeststhat a system does not exist in the sense of an individual physical object but rather the term couldbe regarded as artificially made up to establish order with its use (although such a
courses.References[1] NHTSA, “Critical reasons for crashes investigated in the national motor vehicle crash causation survey."National Highway Traffic Safety Administration (NHTSA), US Department of Transportation, DOT HS 812 115,2015[2] M. Althoff, O. Stursberg, and M. Buss, “Safety assessment of autonomous cars using verification techniques,”2007 IEEE American Control Conference, pp. 4154-4159, 2007.[3] X. Xu, X. Wang, X. Wu, O. Hassanin, and C. Chai, “Calibration and evaluation of the Responsibility-SensitiveSafety model of autonomous car-following maneuvers using naturalistic driving study data,” Transportation researchpart C: emerging technologies, vol. 123, 2021.[4] S. Shah, D. Dey, C. Lovett, and A. Kapoor, “Airsim: High-fidelity visual and physical
Engineering Programs, 2022 – 2023,” retrieved fromhttps://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering-programs-2022-2023/#GC5, 13 March 2023.Mosher, G., “Enhancing team-based senior capstone projects: opportunities and challenges,”Proceedings of the 2014 ASEE North Midwest Section Conference, ASEE-NWMSC2014-A1,(2014).Mostafapour, M., Hurst, A., “An exploratory study of teamwork processes and perceived teameffectiveness in engineering capstone design teams,” Int. J. Eng. Ed. 36:1(B), 436, (2020).Paretti, M., Layton, R., Laguette, S., Speegle, G., “Managing and mentoring capstone designteams: considerations and practices for faculty,” Int. J. Eng. Ed. 27(6):1192, (2011).Appendix: Table
Conference, Washington, District of Columbia. 10.18260/1-2— 62752. Walther, J., & Miller, S. E., & Kellam, N. N. (2012, June), Exploring the Role of Empathy in Engineering Communication through a Transdisciplinary Dialogue Paper presented at 2012 ASEE Annual Conference & Exposition, San Antonio, Texas. 10.18260/1-2--213793. Wang, L.M., Beamer, B., Moore, K.J., and Krain, C., Case study - Lesson plan for noise control engineering concepts for use in ABET accredited engineering programs. Proceedings of Inter-Noise 2021, Aug. 1-5, 2021. © American Society for Engineering Education, 2023 2023 ASEE Zone 1 ConferenceAppendixStudent Learning OutcomesStudent Learning Outcomes
visit possible and staffing the tour; V. Sbovodafrom CTU-Prague for facilitating remote access to the GOLEM tokamak: T. Vouse and S.Woodruff from SciVista Inc. for allowing the use of their VR models and platform.References.[1] R. F. Post. “Controlled Fusion Research - An Application of the Physics of High Temperature Plasmas”. Rev Mod Phys 28, pp. 338-362 (1956).[2] P. Galison and B. Bernstein. “In Any Light: Scientists and the Decision to Build the Superbomb, 1952-1954”. Hist Stud Nat Sci 19, n. 2, pp. 267-347 (1989).[3] C. Warrik. “Fusion turns to engineering”. Ingenia 52, pp. 39 - 43 (2012).[4] W. Choi, A. Cho, H.-K. Chung, H.-S. Tho. “An exploratory study on application of big science business ecosystem for K-DEMO project”. Fus
Delaware. She received her Bachelorˆa C™s of Engineering (2001) in Mechanical Engineering from the University of Delaware, and her MS (2004) and PhD (2006) in Mechanical Engine ©American Society for Engineering Education, 2023Measuring adaptiveness among college students and working professionalsThe concept of adaptive expertise (AE) describes individuals with both deep content knowledgeand the ability to apply this knowledge more broadly in practice. Four characteristics of adaptiveexpertise have been identified in the learning sciences literature, specifically: 1) multipleperspectives, 2) metacognition, 3) goals and beliefs, and 4) epistemology.Within the realm of education, engineering programs are
or otherwise, feel safe toshare their experiences and are welcome to take part in leadership activities.AcknowledgementsThe authors would like to acknowledge that this work takes place on the traditional, ancestraland unceded lands of the Musqueam people. Financial support was provided by the UBC Work-Learn International Undergraduate Research Award program and the Bauder Professorship forExperiential Learning and Leadership. Administrative support was provided by the Departmentof Chemical and Biological Engineering. Advice on data collection and analysis was provided byKyla Morris. Oversight and advice was provided by Prof. Jannik Eikenaar. Advice on researchmethodology and methods was provided by Prof. Sylvia Bartolic.References[1] S. R
AutonomousDriving Car," 2020 5th International Conference on Information Science, Computer Technologyand Transportation (ISCTT), 2020, pp. 1-6, doi: 10.1109/ISCTT51595.2020.00007.[2] T. Treebupachatsakul and S. Poomrittigul, "Microorganism Image Recognition based onDeep Learning Application," 2020 International Conference on Electronics, Information, andCommunication (ICEIC), 2020, pp. 1-5, doi: 10.1109/ICEIC49074.2020.9051009.[3] S. Liu and B. Liu, "Application Analysis of Image Enhancement Method in Deep LearningImage Recognition Scene," 2021 Second International Conference on Electronics andSustainable Communication Systems (ICESC), 2021, pp. 1949-1952, doi:10.1109/ICESC51422.2021.9532597.[4] R. Zhang, W. Xiao, H. Zhang, Y. Liu, H. Lin and M. Yang, "An
research and communication-intensive:besides developing a complete project report, students must orally present their findings to a“Steering Committee” consisting of a Capstone professor and industry sponsor(s) of the project.The instructors of the communication course review the PowerPoint slides as well as critique onthe oral delivery of two Capstone presentations, with the goal of helping students delivereffective presentations to educate the audience, gain sponsor buy-ins, etc. The grading rubric isprovided in Appendix A.Table 2. Online assignments throughout the semester.Type Assessment Name Points % Part A (pre-work)Oral Presentation 0
coursefurther each semester. Additionally, the fully online version of this course could be utilized in thefuture as a model to create a distance introductory course.References[1] F. Darby and J. M. Lang, Small Teaching Online: Applying Learning Science in Online Classes. San Francisco, CA: Jossey-Bass, 2019.[2] P. C. Brown, H. L. Roediger (III), and M. A. McDaniel, Make It Stick: The Science of Successful Learning. Cambridge, MA: Harvard University Press, 2014.[3] W. D. Callister Jr. and D. G. Rethwisch, Fundamentals of Materials Science and Engineering: an Integrated Approach, 5th ed. Hoboken, NJ: John Wiley & Sons, 2019.[4] S. Krause, J. C. Decker, and R. Griffin, “Using a materials concept inventory to assess conceptual gain in
highly needed tofind the most effective structure for a CM course using a similar tool. Also, further research is encouragedto pursue experimenting and developing other techniques for organizing diverse learning activities 5. References[1] P. Meadati, A. Akhnoukh, 3D Scans—A New Teaching Tool in Construction Education, in Advances in Science, Technology and Innovation, Springer Nature, 2021: pp. 217–222. https://doi.org/10.1007/978-3-030-48465-1_36.[2] Y. Turkan, R. Radkowski, A. Karabulut-Ilgu, A.H. Behzadan, A. Chen, Mobile augmented reality for teaching structural analysis, Advanced Engineering Informatics. 34 (2017) 90–100. https://doi.org/10.1016/j.aei.2017.09.005.[3] J. Wen, M. Gheisari, S. Jain, Y
, and deploy backend services built in Spring Boot (Java). JRuby on Rails (JRuby) - Monitor and maintain the platform services with tools such as: AWS (S3, Lambda, Glue, Athena, CloudWatch), Ansible, TeamCity, Docker, SQL, Prometheus - Work in team with Jira (Bitbucket, Confluence, Agile)Hamid S Timorabadi (Assistant Professor, Teaching Stream) Hamid Timorabadi received his BSc, MASc, and PhD degrees in Electrical Engineering from the University of Toronto. He has worked as a project, design, and test engineer as well as a consultant to industry. His research interests include the application of digital signal processing in energy systems and computer networks. He also has deep interest in engineering education and the
), London, UK, July 2020; DOI: 10.1109/ICMEW46912.2020.910598212. Nath, S. and Wu, J., “Deep reinforcement learning for dynamic computation offloading and resource allocation in cache-assisted mobile edge computing systems,” Intelligent and Converged Networks, Volume: 1, Issue: 2, pp. 181 – 198, Sept. 2020; DOI: 10.23919/ICN.2020.001413. Shafiqur Rehman, G.M. et al., “Deep reinforcement learning based computation offloading and resource allocation for low-latency fog radio access networks,” Intelligent and Converged Networks, Volume: 1, Issue: 3, pp. 243 – 257, Dec. 2020; DOI: 10.23919/ICN.2020.002014. Lou, K. et al., “Reinforcement Learning Based Advertising Strategy Using Crowdsensing Vehicular Data,” IEEE Transactions on
semester successfully. Multiple of them mentioned that theyneeded the rest of the Fall 2021 semester to prepare themselves again for retaking the LinearCircuits in Spring 2022. Additionally, through data, it was shown that the synchronous flippedmode of instruction had the lowest DFW rate than the synchronous regular live lecture andcompletely in-person class after the pandemic. This could be the in-depth learning due towatching the recordings with the students’ learning pace and spending more time than usual onlearning the materials through the optional and required parts of the class.References[1] Kokkelenberga, E. C., Dillona, M., Christya, S. M., “The effects of class size on studentgrades at a public university”, Economics of Education Review
implementing this curriculum (Part II). the following link: https://nanohub.org/course nanoHUB experience s/CISTAR The course houses all the PD resources which describe the content, pedagogy, and activities in the curriculum. The PD includes Videos • Turn the Lights On! The videos introduce teachers to the STEM content in the Curriculum context of the engineering problem. These video lectures also • A quick start guide have tips for customizing the
Design Intent?,” https://www.ptc.com/en/blogs/cad/design- intent-explained, accessed 2/6/2022.[2] Otey, J. M., Company, P., Contero, M., Camba, J. D. (2014), “A Review of the Design Intent Concept in the Context of CAD Model Quality Metrics,” Proceedings of the 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. https://peer.asee.org/19992.[3] Amaya-Bower, L., Kirstukas, S. (2016) “Effect of Video Guided Tutorials in a Standard Curriculum and in a Flipped Classroom for a 3D-CAD Course,” Proceedings of the 2016 ASEE Annual Conference & Exposition, New Orleans, LA, June 26-29, 2016, https://peer.asee.org/27295.[4] Kirstukas, S. (2016) “Development and Evaluation of a Computer Program to Assess Student CAD