). Academic Conferences International Limited.Tiede, J., & Grafe, S. (2018, September). Piloting two educational games in five european countries: Teachers' perceptions of student motivation and classroom engagement. In 2018 10th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games) (pp. 1-8). IEEE.Wang, L. H., Chen, B., Hwang, G. J., Guan, J. Q., & Wang, Y. Q. (2022). Effects of digital game-based STEM education on students’ learning achievement: A meta- analysis. International Journal of STEM Education, 9(1), 26. https://doi.org/10.1186/s40594-022-00344-0
, vol. 8, no. 1, pp. 305- 333, 2020.15. Georgia Department of Education. “Science K-5.” Georgia Standards of Excellence, www.georgiastandards.org/Georgia-Standards/Pages/Science-K-5.aspx. Accessed 15 Nov. 2024.16. A. Shalom, Q. Parker, J. Chen, K. Park. “Build Your Garden Kit.” Georgia Institute of Technology, https://bpb- us-w2.wpmucdn.com/sites.gatech.edu/dist/2/1694/files/2024/01/Team_A8-9ec65c31ddf2ba5e.pdf 5 Nov. 2023.17. School of Electrical and Computer Engineering, Georgia Institute of Technology. “ECE Design Fundamentals Museum.” Georgia Institute of Technology, https://sites.gatech.edu/ece-design-fundamentals- museum/ Accessed 15 Nov. 202418. Fall2023A8. YouTube, uploaded by A. Shalom, Q. Parker, J
immediate and future rewards. The lecture focuses on Q-learning as a simple yet powerful RL algorithm, explaining the creation of a Q-table, the application of the Bellman Equation, and the significance of key parameters such as learning rate and discount factor. Additionally, the exploration-exploitation tradeoff is introduced, with an explanation of how the "ϵ-greedy policy" can effectively balance exploration and exploitation. To consolidate these challenging concepts, the lecture concludes with a hands-on example using Q-learning to solve a maze problem. This practical exercise demonstrates how RL can find the shortest path from a start to a goal point while avoiding obstacles, showcasing RL's
thematic shifts are shown inTable 1. key observation was the shift from expected personal skill development (e.g., teamwork andAcommunication) to a broader appreciation for global interconnectedness and real-world engineering applications. Students moved from individualistic goals to more communal and global perspectives, indicating that the study abroad experience reshaped how they viewed engineering within global contexts. Table 1. Q38 Theme Frequency Table Theme from Prague Prague Quito uito Q Quito
, 2024.[26] J. Huang, S. S. Gu, L. Hou, Y. Wu, X. Wang, H. Yu, and J. Han, “Large language models can self-improve,” arXiv preprint arXiv:2210.11610, 2022.[27] X. Wang, J. Wei, D. Schuurmans, Q. Le, E. Chi, S. Narang, A. Chowdhery, and D. Zhou, “Self-consistency improves chain of thought reasoning in language models,” arXiv preprint arXiv:2203.11171, 2022.[28] J. Wei, X. Wang, D. Schuurmans, M. Bosma, F. Xia, E. Chi, Q. V. Le, D. Zhou et al., “Chain-of-thought prompting elicits reasoning in large language models,” Advances in neural information processing systems, vol. 35, pp. 24 824–24 837, 2022.[29] S. Yao, D. Yu, J. Zhao, I. Shafran, T. Griffiths, Y. Cao, and K. Narasimhan, “Tree of thoughts: Deliberate problem solving
Perspect Inst, pp. 1–35, 2014, Accessed: Jul. 23, 2024. [Online]. Available: https://www.academia.edu/download/100632196/manual.pdf[15] E. Wandschneider et al., “The Forum BEVI Project: Applications and implications for international, multicultural, and transformative learning,” Mak Sense Beliefs Values Theory Res Pr., vol. 25, pp. 150–228, 2015, Accessed: Nov. 15, 2023. [Online]. Available: https://books.google.com/books?hl=en&lr=&id=1ck8CwAAQBAJ&oi=fnd&pg=PA407&d q=Wandschneider,+E.,+Pysarchik,+D.+T.,+Sternberger,+L.+G.,+Ma,+W.,+Acheson,+K.,+ et+al.+(2015).+The+Forum+BEVI+project:+Applications+and+implications+for+internati onal,+multicultural,+and+transformative+learning.+Frontiers
collaborative learning and reflecting on their experiences withinthe group. Second, a teaching assistant (TA) system is implemented. The project employs a “studentsteaching students” approach, selecting experienced participants from previous phases as TAs. Through agroup learning mechanism, TAs actively participate in creating learning community. The TA-to-studentratio is approximately 1:30, with online guidance for front-end design and offline guidance for SoCinternships. TAs provide key knowledge node guidance and encourage independent reflection. Accordingto the official website: “The TA team schedules weekly online meetings to hear progress reports fromeach student, with one minute allocated per student for targeted Q&A sessions.”The abstract
general circulation model with deep learning,” Geophys. Res. Lett., vol. 45, pp. 12616– 12622, 2018.[2] Q. Liu, R. Klucik, C. Chen, G. Grant, D. Gallaher, Q. Lv, and L. Shang, “Unsupervised detection of contextual anomaly in remotely sensed data,” Remote Sens. Environ., vol. 202, pp. 75–87, 2017.[3] V. Nourani, E. Foroumandi, E. Sharghi, and D. Dąbrowska, “Ecological-environmental quality estimation using remote sensing and combined artificial intelligence techniques,” J. Hydroinf., vol. 23, no. 1, pp. 47–65, 2021.[4] C. Shen and K. Lawson, “Applications of deep learning in hydrology,” in Deep Learning for the Earth Sciences, G. Camps-Valls, D. Tuia, X. X. Zhu, and M. Reichstein, Eds. 2021, doi: 10.1002
Practices forAssessment Paper presented at 2008 GSW, unknown. 10.18260/1-2-370-38553[8] J. K. Estell. A Heuristic Approach to Assessing Student Outcomes Using Performance Vectors.Proc. of the 2012 ABET Symposium, St. Louis, MO (2012).[9] Tahmina, Q., & Kelley, K., & Ulstad, A. T. (2021, July), Building an Effective ABET ETACAssessment Program from the Ground Up Paper presented at 2021 ASEE Virtual AnnualConference Content Access, Virtual Conference. 10.18260/1-2—36765[10] Tahmina, Q., & Kelley, K., & Furterer, S. L. (2023, June), Implementing an Effective ABETAssessment Program for a New Bachelor of Science in Engineering Technology Degree Paperpresented at 2023 ASEE Annual Conference & Exposition, Baltimore, Maryland. 10.18260
for future education efforts.References [1] P. Conn, A Systematic Analysis of Accessibility Education Within Computing Disciplines. Rochester Institute of Technology, 2019. [2] P. Conn, T. Gotfrid, Q. Zhao, et al., “Understanding the motivations of final-year computing undergraduates for considering accessibility,” ACM Transactions on Computing Education (TOCE), vol. 20, no. 2, pp. 1–22, 2020. [3] C. M. Baker, Y. N. El-Glaly, and K. Shinohara, “A systematic analysis of accessibility in computing education research,” in Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020, pp. 107–113. [4] C. Putnam, M. Dahman, E. Rose, J. Cheng, and G. Bradford, “Best practices for
. Paliouras, “BioASQ-QA: A manually curated corpus for Biomedical Question Answering,” Scientific Data, vol. 10, no. 1, p. 170, 2023.[17] G. Izacard and E. Grave, “Leveraging passage retrieval with generative models for open domain question answering,” arXiv preprint arXiv:2007.01282, 2020.[18] J. Huang, S. S. Gu, L. Hou, Y. Wu, X. Wang, H. Yu, and J. Han, “Large language models can self-improve,” arXiv preprint arXiv:2210.11610, 2022.[19] X. Wang, J. Wei, D. Schuurmans, Q. Le, E. Chi, S. Narang, A. Chowdhery, and D. Zhou, “Self-consistency improves chain of thought reasoning in language models,” arXiv preprint arXiv:2203.11171, 2022.[20] J. Wei, X. Wang, D. Schuurmans, M. Bosma, F. Xia, E. Chi, Q. V. Le, D. Zhou et al., “Chain-of
.). Taylor & Francis.Mark, D. (n.d.). Performance-based admissions in online education. OnlineEducation.com. https://www.onlineeducation.com/features/performance-based-admissions-in-online- schools.McAndrew, Q. (2023). Rethinking the degree application for adult learners: It's time to embrace the promise of performance-based admissions. Coursera. https://assets.ctfassets.net/2pudprfttvy6/5Pg0tVNqYhy2tIoyoXYJZ6/145748e1b184b67f 4c7e3f73403a5a89/Coursera-PBA-Paper-2023.pdf.Zucker, L. G. (1987). Institutional theories of organizations. Annual Review of Sociology, 13, 443–464. Retrieved October 30, 2024, from https://doi.org/2083256.
Spring 2019 andfocused on the textual data from different sections of the survey. The main idea is to recognizeemotions in the data for those individuals. The dataset for this research study was the responsescollected from the UPHEME survey. The focus of this study was on Q.5.2 only which was “Canyou think about an example of hidden curriculum you experienced in engineering? Brieflyexplain the situation and the emotions you had in that situation”. The total number ofresponses to the survey was 961 out of which 859 participants responded to Q.5.2. After datacleaning, the final number of emotional responses for Q.5.2. in UPHEME was 582.Methodology & MethodsThis study uses a pragmatist research paradigm by using NLP models to quantify
. language understanding,” NAACL-HLT, 2019. • However, both methods failed to generate relevant [13] S. Reimers and I. Gurevych, “Sentence-BERT: Sentence embeddings using Siamese BERT-networks,” EMNLP, 2019. responses for Queries 4 and 5, suggesting that [14] Q. Zhu et al., “Efficient context retrieval in dialogue systems using neural certain queries may require alternative embedding similarity,” ACL, 2021. optimization strategies or more comprehensive [15] H. Jeon et al., “Memory-efficient transformer architectures for long- training data. context NLP,” ICLR
technical vocabulary in an introductory information systems course: An experiment involving non-native speakers of English," in Proc. 2000 Information Resources Management Association International Conf. Challenges of Information Technology Management in the 21st Century, IGI Global, USA, 2000, pp. 74–78.[10] R. Mason and C. Seton, "Leveling the playing field for international students in IT courses," in Proc. 23rd Australasian Computing Education Conf., Feb. 2, 2021.[11] M. Allen, C. Berg, J. Q. Dawson, and N. Leveridge, "Insights from the application of universal design principles to support English language learners," in Proc. 23rd Western Canadian Conf. Computing Education, May 4, 2018.[12] Y
ASEE Annual Conference & Exposition, Columbus,OH, 2017.[12] A. R. Bielefeldt, “Disengaging or Disappearing? Losing the most Socially MotivatedStudents from Engineering?” Proceedings of the ASEE Annual Conference & Exposition,Columbus, Ohio, 2017.[13] A. L. Pauley and A. E. Slaton, “The power and politics of STEM research design: Savingthe small ‘N,’” Proceedings of the American Society of Engineering Education AnnualConference. Seattle, WA, 2015.[14] J. L. Hess and G. Fore, “A Systematic Literature Review of US Engineering EthicsInterventions,” Sci Eng Ethics, vol. 24, no. 2, pp. 551–583, Apr. 2018.[15] M.C. Ausman, D. Nieusma, Q. Zhu, S.C. Rea, K. Shiekh, and B. Corby, “The UndoneEthics of Engineering Ethics.” Proceedings of the
impedance TH and TL are calculated using equations(1) and (2) and the Q is calculated using equation (3). The area of the sample is measured.InsulationIn the original setup, closed-foam insulation was used. This proved to be a big disadvantagesince it covered the whole setup. It was crucial for the two meter bars to be perfectly aligned asthere needs to be one-dimensional heat flow throughout the whole apparatus. With closed-foaminsulation, there was no way to ensure this condition. It was possible that once pressure wasapplied, there might have been a slight misalignment, and even a minor misalignment couldbring air gaps into the system, making the data inaccurate. Figure 3: Previous Design with Closed-Foam InsulationThe team
=strongly disagree and 5=strongly agree, or 1=no impact and 5=mostimpact.Table 1. Survey instrument. The statements use a 5-point Likert rating scale. Construct Q# Statement Q1 I prefer to work on my own through the design process. Q27 I prefer to work on my own in my other classes. I believe the design review process can be a powerful learning tool for Q2 Growth Mindset design. Q3 I believe that with more design experience, I will become better at it. I appreciate it when teachers, coaches, or parents give me feedback on my Q5
, vol. 50, no. 2, pp. 314–325, Nov.2022, doi: 10.1108/IR-05-2022-0136.[5] C. Xia et al., “A review on wire arc additive manufacturing: Monitoring, control and aframework of automated system,” Journal of Manufacturing Systems, vol. 57, pp. 31–45, Oct.2020, doi: 10.1016/j.jmsy.2020.08.008.[6] R. A. Buswell, W. R. Leal de Silva, S. Z. Jones, and J. Dirrenberger, “3D printing usingconcrete extrusion: A roadmap for research,” Cement and Concrete Research, vol. 112, pp. 37–49, Oct. 2018, doi: 10.1016/j.cemconres.2018.05.006.[7] J. Williams and K. L. Devine, “Developing a digital twin for highly flexible learningmodalities,” in Proceedings of the 2021 ATMAE Conference, Orlando, FL, Nov. 2021, pp. 67–76.[8] Q. K. Luu, H. M. La, and V. A. Ho, “A 3
Implementation network and communication protocols cation 12 Quantum Introduction to Quantum •Introducing the concept of quantum sensing Sensing Sensing • Case study of optically detected magnetic resonance and quantum N/MEMS sensing 13 Quantum Introduction to Quantum •Introducing the concept of quantum simulation Simulation Simulations • Experiencing IBM-Q 14 Perspective Open discussion on Perspective •Open discussion and final project presentation and Future and Future
disadvantaged communities in California.” Transport Policy, 78, 19–30, 2019. https://doi-org.dist.lib.usu.edu/10.1016/j.tranpol.2019.03.009[36] Q. Zhang, H. Li, L. Zhu, P. E. Campana, H. Lu, F. Wallin, and Q. Sun, “Factors influencing the economics of public charging infrastructures for EV–A review.” Renewable and Sustainable Energy Reviews, 94, 500–509, 2018. https://doi- org.dist.lib.usu.edu/10.1016/j.rser.2018.06.022[37] H. Gong, M. Q. Wang, and H. Wang, “New energy vehicles in China: policies, demonstration, and progress.” Mitigation and Adaptation Strategies for Global Change,18, 207-228, 2013.[38] J. Dixon, P. B. Andersen, K. Bell, and C. Træholt, “On the ease of being green: An investigation of the
. Aler Tubella, M. Mora-Cantallops, and J. C. Nieves, “How to teach responsible AI in Higher Education: challenges and opportunities,” Ethics and Information Technology, vol. 26, Dec. 2023. [4] Exec. Order No. 14110, 88 CFR 75191. 2023. [5] J. Weichert and H. Eldardiry, “Computer Science Student Attitudes Towards AI Ethics and Policy: A Preliminary Investigation,” in Proceedings of the 2024 IEEE International Symposium on Technology and Society, Puebla, Mexico, 2024. [6] J. Weichert, D. Kim, Q. Zhu, and H. Eldardiry, “’Do I Have to Take This Class?’: A Review of Ethics Requirements in Computer Science Curricula,” in Proceedings of the ACM Technical Symposium on Computer Science Education. Pittsburgh, PA, USA: Association for
scale: Assessing the influence of intrapersonal factors that influence technology integration,” Comput. Sch., vol. 25, no. 1–2, pp. 98–111, 2008.[15] C. Alvarado and Z. Dodds, “Women in CS: an evaluation of three promising practices,” presented at the Proceedings of the 41st ACM technical symposium on Computer science education, 2010, pp. 57–61.[16] J. Margolis, A. Fisher, and F. Miller, “The anatomy of interest: Women in undergraduate computer science,” Womens Stud. Q., vol. 28, no. 1/2, pp. 104–127, 2000.
knowledge bases, theAdviser provides context-relevant answers.Despite its potential strength, the system faces challenges in adapting some responses to theuser’s level due to the unsuitability of the prompt questions for that level. Future work couldaddress these limitations by using other self-attention mechanisms like BERT for NLP tasks.Other LLMs such as Gemini and specialized Manufacturing LLMs could be explored for betteraccuracy in manufacturing queries. Incorporating visual language models (VLMs) will enhanceinteraction with the Adviser. For example, integrating CAD models and process diagrams couldenable the Adviser to provide real-time feedback on manufacturability and design considerations.Furthermore, a reverse Q and A (asking users
real-world challenges. Students engaged in industry-partnered projectsthat allowed them to apply what they learned in class to real-world situations. Lessons learned:1) Synthesis days were incorporated into the schedule for the second cohort to help students betterintegrate and connect the topics. 2) With the first cohort, students were often bored by the lack ofspeaker interaction, and they had difficulty formulating questions on the spot during the Q&A.Therefore, for the second cohort, speakers were asked to be more interactive, and students wereprovided with speaker information ahead of time so they could formulate questions in advance.Field Trips: Field trips to companies and start-ups were planned but proved challenging.Conflicting
upon work supported by the National Science Foundation ResearchTraineeship program under Award Number 1922694.References[1] E. Santillan-Jimenez, Q. Duan, J. Dariotis, and M. Crocker, "Enhancing graduate education by fully integrating research and professional skill development within a diverse, inclusive and supportive academy," in 2020 ASEE Virtual Annual Conference, 2020, DOI: 10.18260/1-2--34569. [Online]. Available: https://peer.asee.org/34569[2] E. Santillan-Jimenez, J. E. Parker, K. Mabisi, C. B. Schutzman, and M. Crocker, "Description, Assessment, and Outcomes of Three Initial Interventions Within a National Science Foundation Research Traineeship (NRT): Onboarding Event, Career Exploration Symposium, and
EEC-1359137, in 2010-2013 under grant EEC-1004915 and in 2006-2008 under grant EEC-0552737.References1. http://me-reu.secs.oakland.edu (accessed on January 14, 2025)2. Guessous, L., Sangeorzan, B. Zou, Q., Wang, X., “Industrial Mentors: An Often Untapped Resource In Undergraduate Research Programs”, Proc. ASME. IMECE2008, 9, 2008, doi: 10.1115/IMECE2008- 660633. DelVescovo, D., Groomes, D., Bryant, B., Guessous, L., “Enriching the REU Experience through Student-Led Outreach Activities”, 2023 ASEE Annual Conference & Exposition, Baltimore, MD, 2023, doi:10.18260/1-2—427474. https://www.pathwaystoscience.org/ (accessed on January 14, 2025)5. Bhattacharyya, P., Chan, C.W.M., “Can Undergraduate Research Participation Reduced the
necessarily reflect the views ofthe National Science Foundation.References[1] G. Miller, H.M. Jerónimo, Q. Zhu, Editors’ Introduction to Thinking through Science andTechnology: Philosophy, Religion, and Politics in an Engineered World, edited by Miller,Jerónimo, and Zhu, 1–10. Lanham, MD: Rowman & Littlefield, 2023.[2] C.E. Harris, S. Pritchard, J. Ray, E.E. Eanglehardt, M.J. Rabins, Engineering Ethics – Conceptsand Cases, Sixth Edition, Cengage, Boston, MA, USA, 2019.[3] S.J. Bird, A. Briggle, “Research Ethics.” Ethics, Science, Technology, and Engineering: AGlobal Resource, edited by J. B. Holbrook, 2nd ed., vol. 3, Macmillan Reference USA, 2015, pp.584-592.[4] D.H. Guston, T. Kowall, “Research Integrity.” Ethics, Science, Technology, and