havetheir work shown here as an example of WheelsFX.7.0. Works Cited[1] A. S. Gillis, "object-oriented programming (OOP)," TechTarget, July 2021. [Online]. Available: https://www.techtarget.com/searchapparchitecture/definition/object-oriented- programming-OOP. [Accessed 26 December 2022].[2] "JavaTpoint," JavaTpoint, 2021. [Online]. Available: https://www.javatpoint.com/history- of-java. [Accessed 26 December 2022].[3] L. Yan, "Teaching Object-Oriented Programming with Games," in 2009 Sixth International Conference on Information Technology: New Generations, Las Vegas, 2009.[4] K. E. Sanders and A. Van Dam, Object-oriented Programming in Java: A Graphical Approach; Preliminary Edition, Pearson College Division, 2005.[5] W.-K. Chen
suggested thatengagement, value, and participation declined for many traditional on campus students whomoved to virtual coursework during the pandemic. Unlike those trends in face-to-face programs,the survey results suggest that for students already enrolled in the fully online BSIT program, thepandemic did not present a problem in terms of finishing coursework, and in some cases, evenencouraged students to take on additional courses they normally would not have.References[1] National Clearinghouse Student Research Center. Term Enrollment Estimates: A Covid 19 Supplement[2] E. Wester, L. Walsh, S. Arango-Caro, and K.L. Callis-Duehla, Student Engagement Declines in STEM Undergraduates Journal of Microbiology and Biology Education
/B split, where we randomlyassign the students with similar demographics to the control and the test group. This will enableus to compare performances on the same exam with or without anonymous grading. The authorsare applying for IRB approval for conducting the surveys and focus groups.AcknowledgmentsA part of the work is supported by the Hrabowski Innovation Fund Award, which supportsinitiatives to enhance teaching and learning at UMBC.References1. Addy, Tracie Marcella, et al. What inclusive instructors do: Principles and practices for excellence in college teaching. Stylus Publishing, LLC, 2021.2. Malouff, John M., Ashley J. Emmerton, and Nicola S. Schutte. "The risk of a halo bias as a reason to keep students anonymous during
first-year electrical engineering course," in IEEE 6th International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Hong Kong, China, 2017.[3] G. Messmer and K. Berkling, "Overcoming the Gap of Social Presence in Online Learning Communities at University," in World Engineering Education Forum/Global Engineering Deans Council (WEEF/GEDC), Madrid, Spain, 2021.[4] J. Banson and C. D. Hardin, "Assessing Student Participation and Engagement Using Discord," in 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), Los Alamitos, CA, USA, 2022.[5] A. M. Wiles and S. L. Simmons, "Establishment of an engaged and active learning community in the biology classroom and lab with
. Hayne, “Design of an Instructional Processor,” Supplement to: C. Roth and L. John, Digital Systems Design Using VHDL, Third Edition, Boston, MA: Cengage Learning, 2018. [Online]. Available: http://academic.cengage.com/resource_uploads/downloads/1305635140_559956.pdf.[3] RISC-V International. [Online]. Available: https://riscv.org/.[4] S. Harris, D. Chaver, L. Pinuel, O. Kindgren, and R. Owen, “RVfpga: Computer Architecture Course and MOOC using a RISC-V SoC Targeted to an FPGA and Simulation,” Proceedings ASEE Annual Conference and Exposition, Baltimore, MD, June 2023.[5] Grenoble Institute of Technology, “LeaRnV: RISC-V based SoC Platform for Research Development and Education.” 2020. [Online]. Available: https
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being more deeply rooted than others.The feedback in Samples 1, 3, and 5, with scores ranging from 3.80 to 4.90, is somewhatrooted in the drafts, with some different limitations. Sample 1’s feedback engages with thecontent by mentioning the author’s name, career goal, and resources, yet overlooks revisionsand omits comments on some headings. The feedback in Samples 3 and 5 incorrectlycomments on the need for headings already present, with Sample 5 repeatedly making thiserror and generating feedback despite no revisions. In addition, Sample 2, which has thelowest score in this category (2.33), indicates that the feedback is inconsistently rootedbecause it does not mention the author’s name and fails to comment on missing headings, yetit
audience. However, it is the opinion of the authors thatmodifying the current pedagogies for generation Alpha can add value to their educationalexperience and lead to graduating more well-rounded independent graduates.VI. References[1] Cheng, L., Ritzhaupt, A. D., & Antonenko, P. (2019). Effects of the flipped classroom instructional strategy on students’ learning outcomes: A meta-analysis. Educational Technology Research and Development, 67(4), 793-824.[2] Goedhart, N. S., Blignaut-van Westrhenen, N., Moser, C., & Zweekhorst, M. B. M. (2019). The flipped classroom: supporting a diverse group of students in their learning. Learning Environments Research, 22(2), 297-310.[3] Stöhr, C., Demazière, C., & Adawi, T. (2020). The
fruitful flipped classexperience. As future directions to this work, the author proposes to investigate the effect of usingdifferent motivators on video coverage as well as increasing the sample size for more indicativestatistical analyses.References[1] S. Freeman et al., “Active learning increases student performance in science, engineering, and mathematics,” Proc. Natl. Acad. Sci., vol. 111, no. 23, pp. 1–6, 2014.[2] C. E. Wieman, “Large-scale comparison of science teaching methods sends clear message,” Proc. Natl. Acad. Sci., vol. 111, no. 23, pp. 8319–8320, 2014.[3] M. Stains et al., “Anatomy of STEM teaching in North American universities,” Science (80-. )., vol. 359, no. 6383, pp. 1468–1470, 2018.[4] A. Dallal, M
, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National Science Founda-tion.References [1] S. Hansche, “Designing a security awareness program: Part 1”. Information systems security, vol. 9, no. 6, pp.1-9, 2001. [2] E. Crowley, “Information system security curricula development”. In Proc. 4th conference on Information technology curriculum. pp. 249-255, 2003. [3] J. Seberry, and J. Pieprzyk, “Cryptography: an introduction to computer security”. Prentice- Hall, Inc, 1989. [4] Cryptography in Digital Age, https://www.mckinsey.com/ /me- dia/mckinsey/business%20functions/risk/our%20insights
the local community (including rental housing, shopping and restaurants).References[1] Naveed, H., Khan, A. U., Qiu. S., Saqib, M., Anwar, S., Usman, M., Akhtar, N., Barnes, N.Mian, A. “A Comprehensive Overview of Large Language Models,”https://arxiv.org/pdf/2307.06435.pdf, retrieved March 19, 2024.[2] Terry, Owen Kichizo. The Chronicle of Higher Education, “I’m a Student. You Have NoIdea How Much We’re Using ChatGPT.” https://www.chronicle.com/article/im-a-student-you-have-no-idea-how-much-were-using-chatgpt, retrieved June 1, 2023.[3] Lo, L. “The CLEAR path: A framework for enhancing information literacy through promptengineering,” The Journal of Academic Librarianship, 49 (2023).[4] American Society for Engineering Education,https
Interest Group (SIG) Democratic Citizenship in Education of the American Educational Research Association (AERA) from 2016 to 2018. She has taught high school mathematics and holds a clear renewable teaching certificate in mathematics in the state of Georgia. She currently serves as a Co-Principal Investigator (Co-PI) of a National Science Foundation (NSF) S-STEM grant.Carlos Sac Mendoza, University of the District of Columbia ©American Society for Engineering Education, 2024 Developing Lafayette Park Minecraft World to Broaden Participation in ComputingAbstract. In this project, we developed Lafayette Park World, a Minecraft Education game andprogramming
. NLP, “RoBERTa sentiment analysis model,” https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment, Accessed: 2024. [2] M. E. Basiri, N. Ghasem-Aghaee, and A. Naghsh-Nilchi, “Exploiting reviewers’ comment histories for sentiment analysis,” Journal of Information Science, vol. 40, pp. 313 – 328, 2014. [3] Pankaj, P. Pandey, Muskan, and N. Soni, “Sentiment analysis on customer feedback data: Amazon product reviews,” in 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), 2019, pp. 320–322. [4] S. Kim and R. Calvo, “Sentiment-oriented summarisation of peer reviews,” 2011. [5] K. Wang and X. Wan, “Sentiment analysis of peer review texts for scholarly papers,” in The
. The user evaluation suggests its broad applicability in educational settings. Futureenhancements, guided by user feedback, are expected to further improve its interactivity andeducational effectiveness. The design and approach of the Virtual Lab provide a viable solutionfor the ongoing and future development of virtual laboratories in STEM education.References[1] T. de Jong, S. Sotiriou, and D. Gillet, “Innovations in STEM education: the Go-Lab federation of online labs,” Smart Learning Environments, vol. 1, no. 1, p. 3, Oct. 2014, doi: 10.1186/s40561-014-0003-6.[2] I.-E. Lasica, K. Katzis, M. Meletiou-Mavrotheris, and C. Dimopoulos, “STEM Education: Current and future trends in laboratory-based education,” Jun. 2016.[3] R. Radhamani
. J. Devlin, M.‑W. Chang, K. Lee, and K. Toutanova, “BERT: Pre‑training of deep bidirectionaltransformers for language understanding,” Proceedings of the NAACL‑HLT Conference,Minneapolis, MN, Jun. 2019, pp. 4171‑4186.6. L. Zhang, S. Wang, and B. Liu, “Deep learning for sentiment analysis: A survey,” WileyInterdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 8, no. 4, e1253, 2018.7. P. Xie, H. Gu, and D. Zhou, “Modeling sentiment analysis for educational texts by combiningBERT and FastText,” Proceedings of the International Conference on Computer Science andTechnologies in Education (CSTE), Xi’an, China, Jul. 2024, pp. 1‑6.8. X. Li, H. Zhang, Y. Ouyang, X. Zhang, and W. Rong, “A shallow BERT‑CNN model forsentiment analysis on
technologies to help students better solve calculus questionssince calculus questions are at the heart of STEM education. We encourage researchers and educators tofurther investigate along the line of this research. It is essential to learn and improve STEM students’technology preferences to solve calculus questions. References 1. Tokgöz, E. “Undergraduate and Graduate STEM Majors’ Technology Preference for Solving Calculus Related Questions,” ASEE Annual Meeting Proceedings, Seattle, Washington, Paper I.D. #: 12668, 2015. 2. Tokgöz, E., Scarpinella, S. E., and Giannone, M. (2021, July), Technology Decisions of Engineering Students for Solving Calculus Questions 2021 ASEE Annual Conference, https://peer.asee.org/37830 3. R
tool forbuilding curricula. One project for 2025 will focus on integrating AI to speed up informationentry and improve knowledge reuse.To encourage further research, the Relate.Space platform and accompanying tutorials are freelyavailable to the academic community at https://relate.space6. References[1] D. Foley, “Faire fleurir l’innovation à partir de la racine : le développement et l’évaluation du potentiel de la plateforme informatique CogEx pour la conception en génie mécanique,” 2017, doi: http://hdl.handle.net/11143/11335.[2] D. Foley, F. Charron, and J.-S. Plante, “Potential of the CogEx Software Platform to Replace Logbooks in Capstone Design Projects,” Adv. Eng. Educ., vol. 6, no. 3, 2018, Accessed: Sep. 19, 2018
transportation of property ϕ. with no sourceConsider the source free 1D convection-diffusion equation in the form d d dϕ (ρϕu) = Γ 0≤x≤1 (30) dx dx dxwhich represents the transport of the property ϕ through convection and diffusion inone-dimensional domain shown in Figure 10. The boundary conditions are: ϕ(x = 0) = ϕ0 = 1and ϕ(x = L) = ϕL = 0.Solve this equation numerically using the Finite Volume Method and the following parameters:u = 0.1 m/s, L = 1.0 m, ρ = 1.0 kg/m3 , Γ = 0.1 kg/m.s. Compare the results against the exactsolution of
Organization. Health equity, 2010. URL https://www.who.int/health-topics/health-equity#tab=tab_1. Accessed: 2023-08-14. [9] P Braveman and S Gruskin. Defining equity in health. Journal of Epidemiology & Community Health, 57(4): 254–258, 2003. ISSN 0143-005X. doi: 10.1136/jech.57.4.254. URL https://jech.bmj.com/content/57/4/254.[10] Amy J. Ko, Anne Beitlers, Brett Wortzman, Matt Davidson, Alannah Oleson, Mara Kirdani-Ryan, Stefania Druga, and Jayne Everson. Critically conscious computing: Methods for secondary education, 2023. URL https://criticallyconsciouscomputing.org. Accessed: 2023-08-14.[11] Engineering National Academies of Sciences and Medicine. Advancing Antiracism, Diversity, Equity, and Inclusion in STEMM
,” LACCEI, 2021.[12] Warren, S., Dong, X., Sobering, T.J., Yao, J., A Rapid Analysis and Signal ConditioningLaboratory (RASCL) Design Compatible with the National Instruments myDAQ Platform,” inProceedings of the 2011 ASEE Conference & Exposition, American Society for EngineeringEducation, 2011.[13] Yan, Y. Adams, R.D., Yanik, P.M., Jack, H., Ritenour, A. Karayaka, H. B., “BYOE:Individual Lab Kit Options for Analog and Digital Circuits Suitable for In-class or At-homeExperiments,” in Proceedings of the 2021 ASE Annual Conference, ASEE, 2021.[14] Lowe, Davit, et al. "LabShare: Towards a national approach to laboratory sharing."Proceedings of the 20th Annual Conference for the Australasian Association for EngineeringEducation. The School of
assistance throughoutthis project. We thank Vincenzo Macri for their essential contributions, being a vital part of theproject. Lastly, we are extremely grateful to Michael Levine for his unwavering support of ourwork.References 1. A. I. Khan and S. Al-Habsi, Machine Learning in Computer Vision, Procedia Computer Science, Volume 167, 2020, Pages 1444-1451, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2020.03.355. 2. Y. A. Adebisi, Undergraduate students' involvement in research: Values, benefits, barriers and recommendations, Annals of Medicine and Surgery, Volume 81, 2022, 104384, ISSN 2049-0801, https://doi.org/10.1016/j.amsu.2022.104384. 3. H. K. Beasley, Z. Vue, M. R. McReynolds, K. Neikirk, E. Garza-Lopez, M. Mungai
tutoring frameworks,” in Proceedings of the 5th Annual ACM Conference on Learning at Scale, L at S 2018, Jun. 2018. doi: 10.1145/3231644.3231671.[7] H. Fake and N. Dabbagh, “Personalized Learning Within Online Workforce Learning Environments: Exploring Implementations, Obstacles, Opportunities, and Perspectives of Workforce Leaders,” Technology, Knowledge and Learning, vol. 25, no. 4, pp. 789–809, Dec. 2020, doi: 10.1007/s10758-020-09441-x.[8] G. Conole, “MOOCs as disruptive technologies: strategies for enhancing the learner experience and quality of MOOCs,” Revista de Educación a Distancia (RED), no. 50, Jul. 2016, doi: 10.6018/red/50/2.[9] A. Pears et al., “A Survey of Literature on the Teaching
: Deep Learning with Python by Francois Chollet Robotics: Modelling, Planning and Control by Bruno Siciliano Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto IV. Computing and Simulation PlatformWe have used Keras and Gazebo as computing and simulation platform. Keras is an open-sourcesoftware library that provides a Python interface for artificial neural networks. Gazebo is anopen-source software platform for which anyone can develop a plug-in with model components V. Learning Outcomes and AssessmentThe learning outcomes of the course EGR 391 are as the following: 1. Understand the meaning, purpose
, backup and restore operations, and disaster recovery tasks. • Troubleshooting: Troubleshoot capacity, automation, connectivity, and security issues related to cloud implementations.Certification and Course Integration Methodologies:With the set of certifications decided, we set out to identify the course(s) that are best to integratethe certification skill set in. In this paper, we present our methodologies as they apply to theNetwork+, which we used as the pilot project. We will report and disseminate results for othercertifications as they are completed.Course Material RevampingWith most of the faculty in the new Cyber Security Program coming from Computer Sciencebackground, it was imperative that we revamp the current course
proposes a focus on the process of problem-solving and does not want to limitthe process to particular kinds of problems but to those that "influences one's adaptivefunctioning in the real-life social environment" (and engineering problems are some of those.)D'Zurilla et al.'s model uses the term social Problem-Solving for such problems. The modeldevelops the concepts of "problem-solving," "problem," and "solution," specifying that problem-solving "refers to the process of finding a solution." In contrast, "solution" refers to "carrying outthose solutions in the actual problematic situations." The model comprises "problem orientation"and "problem-solving skills." Through these components, they developed the Social Problem-Solving Inventory, which
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educators.By removing technical barriers while maintaining pedagogical quality, we aim to support moreefficient and effective assessment creation processes across engineering disciplines. Future workwill focus on measuring this impact through detailed evaluation of system adoption patterns andeducational outcomes.References[1] J. Hassell, "Best Practices for Using Generative AI to Create Quiz Content for the CanvasLMS," 2024 ASEE Midwest Section Conference, ASEE, 2024.[2] S. Willison, "Things we learned about LLMs in 2024," SimonWillison.net, Dec. 31, 2024.[Online]. Available: https://simonwillison.net/2024/Dec/31/llms-in-2024/.[3] J. Yang et al., "Harnessing the Power of LLMs in Practice: A Survey on ChatGPT andBeyond," ACM Transactions on Knowledge
. Educ., vol. 9, p. e48291, Jun. 2023, doi:10.2196/48291.[5] M. Bernabei, S. Colabianchi, A. Falegnami, and F. Costantino, “Students’ use of largelanguage models in engineering education: A case study on technology acceptance, perceptions,efficacy, and detection chances,” Comput. Educ. Artif. Intell., vol. 5, p. 100172, Jan. 2023, doi:10.1016/j.caeai.2023.100172.[6] E. Kasneci et al., “ChatGPT for good? On opportunities and challenges of large languagemodels for education,” Learn. Individ. Differ., vol. 103, p. 102274, Apr. 2023, doi:10.1016/j.lindif.2023.102274.[7] J. G. Meyer et al., “ChatGPT and large language models in academia: opportunities andchallenges,” BioData Min., vol. 16, no. 1, p. 20, Jul. 2023, doi: 10.1186/s13040-023
reasons, the authors chose to use LATEX to create teaching materials for their courses. The authors will discuss how they take advantage of LATEX´s modularity, programmability, and typog- raphy to prepare their course materials. Some examples will be provided such as how LATEX is used to create consistent looking syllabi and how it is used to turn on/off solutions in lecture handouts.1 IntroductionResearch indicates that Microsoft Word users rate their experience with Microsoft Word as less efficientthan LATEX users rate their experience with LATEX. In addition LATEX users report significantly higherenjoyment and less frustration than Microsoft Word users with their respective softwares. But, LATEX usersdo acknowledge that