) reveal a slightly positive attitude toward ChatGPT overall, although again,the range of results indicates that opinions varied widely. Kolmogorov-Smirnov (K-S) testsindicated non-normal distributions, but these tests are known to detect very small deviationswhen applied to a large dataset. The K-S statistics values were low (.079, .064, .097, and .117respectively for the individual components), and the histograms (shown in Figure 1) as well asthe skewness and kurtosis values appear close to normal.Figure 1Distribution of students’ attitudes towards ChatGPT. 80 80 70 70 60
that excessinformation, in the form of constraints and requirements, also challenged the designers’capabilities and caused them to feel stress. “Yeah, kind of that there was so much information that it was kind of hard to make design decisions without... that would like conform to every one of those sources.”4.2.4 Environmental factorsThe cohort of co-op students that participated in this study did so under the conditions ofCOVID-19’s disruption to higher education. While all of the participants had the opportunity towork on-site within the design clinic over the term, one of them noted that they started the co-opterm working remotely. This student noted that in the remote environment it was morechallenging to get acquainted with
critical pieces of evidence to uncover:1) researchers and practitioners work together and that 2) partners feel as if they are a valuedmember of the team. The indicators (as defined by the Five Dimensions framework), codes thatwe established based on the indicators, and corresponding questions are outlined in Table 2. Table 2: Dimension 1: Codes for Building trust and cultivating partnerships. Indicator Code Corresponding Questions Researchers and practitioners Inclusive Collaboration (IC): Re- How often do you collab- routinely work together searchers and practitioners rou- orate with the other part- tinely work together and all feel as ner(s
-2119930. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. The authors thank Dr. Anni Reinking who contributed to the framing of thedata collection and analysis and assisted on the data interpretation. Drs. Amy Slaton and KaylaMaxey also contributed to framing the study.References[1] Awards/degrees conferred by program (CIP), award level, race/ethnicity and gender, U.S. Department of Education, National Center for Education Statistics, Integrated Postsecondary Education Data System (IPEDS), 2011–2021. [Online]. Available: https:// nces.ed.gov/ipeds/use-the-data[2] National Science
undergraduate students, and it cancontribute to enhancing their academic and professional goals.References[1] J. K. Petrella and A. P. Jung, “Undergraduate research: Importance, benefits, and challenges,” International journal of exercise science, vol. 1, no. 3, p. 91, 2008.[2] H. Thiry, S. L. Laursen, and A.-B. Hunter, “What experiences help students become scientists? a comparative study of research and other sources of personal and professional gains for stem undergraduates,” The Journal of Higher Education, vol. 82, no. 4, pp. 357– 388, 2011.[3] J. Kinkead, “Advancing undergraduate research: Marketing, communications, and fundraising,” 2011.[4] O. A. Adedokun, M. Dyehouse, A. Bessenbacher, and W. D. Burgess, “Exploring faculty
this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References [1] G. Herman, K. Varghese, and C. Zilles, “Second-chance testing course policies and student behavior,” in 2019 IEEE Frontiers in Education Conference (FIE). IEEE, 2019, pp. 1–7. [2] G. L. Herman, Z. Cai, T. Bretl, C. Zilles, and M. West, “Comparison of grade replacement and weighted averages for second-chance exams,” in Proceedings of the 2020 ACM Conference on International Computing Education Research, 2020, pp. 56–66. [3] C. Yang, W. Zhao, L. Luo, B. Sun, R. Potts, and D. R. Shanks, “Testing potential mechanisms underlying test-potentiated new learning.” Journal of Experimental Psychology: Learning
,2008), here they were balanced. Communication barriers common in other HyFlex formats (Kohnke &Moorhouse, 2022) were also effectively minimized through instructor strategies and recording of sessions. Inconclusion, despite pandemic disruptions, the Interactive Synchronous HyFlex model showed potential forfacilitating connected and equitable learning experiences critical for unpredictable circumstances in highereducation.Study 2: Mohandas, L., Mentzer, N., Koehler, A., & Farrington, S. (2023). To Be Face-to-Face Today or toBe Remote Today: That is the Question. 2023 AERA Annual Meetings. https://doi.org/10.3102/2017564Building on the first study by reviewing data a year later, this study by Mohandas et al., examined students'perceptions
Discovery. London, UK: Routledge, 2005.[6] National Academies of Sciences and Medicine, "Reproducibility and replicability in science," 2019. [Online]. Available: https://www.ncbi.nlm.nih.gov/books/NBK547521/.[7] National Academies of Sciences, Medicine, "Reproducibility and replicability in science," 2019. [Online]. Available: https://www.ncbi.nlm.nih.gov/books/NBK547521/.[8] B. D. Jones, "User guide for assessing the components of the MUSIC® Model of Motivation," Dilayari January, vol. 18, p. 2018, 2017. [Online]. Available: http://www.theMUSIC- model.com.[9] B. D. . Jones, Y. Miyazaki, M. Li, and S. Biscotte, "Motivational climate predicts student evaluations of teaching: Relationships between students
curricula in undergraduate engineering programs. By incorporatingexperiential elements, hands-on activities, and collaborative problem-solving opportunitiesaligned with real-world scenarios, educators can create learning environments that effectivelyequip future engineers with the data skills they need to thrive in an increasingly data-driven world.AcknowledgementsThis material is based upon work supported by the National Science Foundation under EEC Grant#2245022. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.8. References [1] S. Miller, “Collaborative Approaches Needed to Close the Big Data Skills Gap
Business Models Caused by Digital Transformation and the COVID-19 Pandemic and Possibilities of Their Measurement—Case Study,” Sustainability, vol. 14, no. 1, p. 127, Dec. 2021, doi: 10.3390/su14010127.[3] L. E. Bourne, J. A. Kole, and A. F. Healy, “Expertise: defined, described, explained,” Front. Psychol., vol. 5, p. 186, Mar. 2014, doi: 10.3389/fpsyg.2014.00186.[4] S. E. Dreyfus and H. L. Dreyfus, “A Five-Stage Model of the Mental Activities Involved in Directed Skill Acquisition:,” Defense Technical Information Center, Fort Belvoir, VA, Feb. 1980. doi: 10.21236/ADA084551.[5] M. T. H. Chi, “Two Approaches to the Study of Experts’ Characteristics,” Camb. Handb. Expert. Expert Perform., 2006.[6] A. L. Baylor
they relied on for their sense of recognition as scientists. In theirstudy, all the women saw themselves as science people; that is, they identified as scientists. Theirinternalized recognition, coupled with the recognition by meaningful others, further reinforcedwomen’s identities as scientists. As such, external recognition played a critical role in validatingtheir competence as knowledgeable science people. All of the women in Carlone and Johnson’s[21] study were professionals or working towards a terminal degree, thus maintaining a steadfastinterest in their career pursuits. Hazari et al.’s [22] study provided evidence of the importance ofexplicitly integrating interest in the identity framework as it helped students establish an
-short-history-of-chatgpt-how-we-got-to-where-we-are-today/?sh=611eb528674f. [AccessedMarch 16, 2024]..[8] OpenAI, “ChatGPT can now browse the internet to provide you with current andauthoritative information, complete with direct links to sources. It is no longer limited to databefore September 2021.” [Online]. Available: Twitter,https://twitter.com/OpenAI/status/1707077710047216095?s=20. [Accessed March 16, 2024].[9] A. Kelly, M. Sullivan, & K. Strampel, “Generative artificial intelligence: University studentawareness, experience, and confidence in use across disciplines”, Journal of University Teaching& Learning Practice, vol. 20, no. 6, article 12, 2023. https://doi.org/10.53761/1.20.6.12.[Online]. Available: https://ro.uow.edu.au
aspiration is to continue evolving this initiative, making it abeacon for other small institutions seeking to make significant strides in undergraduate researchand education.References[1] M. Jahan and S. Aly, "Engaging Undergraduate Students in Hands-on Research UsingUndergraduate-specific Small Internal Grants from the University," 2018. [Online]. Available:DOI: 10.18260/1-2-30400.[2] C. Craney, T. McKay, A. Mazzeo, J. Morris, C. Prigodich, and R. D. Groot, "Cross-DisciplinePerceptions of the Undergraduate Research Experience," The Journal of Higher Education, vol.82, no. 1, pp. 92–113, Jan.-Feb. 2011.[3] D. Lopatto, "Survey of Undergraduate Research Experiences (SURE): First Findings," CellBiology Education, vol. 3, pp. 270–277, Winter 2004.[4] R
summaries into design choices. While dimensions such as height andwaist diameter are correlated, reifying this statistical association into sizes such as S, M, and Lrequires those who fall outside the trend to buck implicit norms: In Leslie’s case she “found asolution: (she) started wearing vintage men’s Levi’s.” Similar to how intersecting marginalizedidentities can lead to unique experiences of marginalization [32], variation across multipledimensions can break the reified statistical assumptions embedded in design practices. Designingfor full inclusion requires grappling with the multidimensional nature of variability.For Trinity, variability did not seem relevant to her intended major of software engineering—theCOP she seeks to join. Despite
(Kenyatta University, Kenya), a M.A. in Special Education (WVU), and Ed.D. in Curriculum and Instruction (WVU).Prof. Hyoung Jin Cho, University of Central Florida Professor Hyoung Jin Cho is the Associate Chair of the Department of Mechanical and Aerospace Engineering at the University of Central Florida. He is in charge of coordinating two undergraduate programs – B. S. Mechanical Engineering and B. S. Aerospace Engineering. He has published over 130 peer-reviewed journal and proceeding papers and has 12 and 6 patents granted in the U.S. and Korea, respectively, in the areas of sensors, microfluidic devices, and micro/nanofabrication. His current research focus is on miniaturized environmental sensors and sample
marginalized experiences that Black PhD students navigate in academia are a reflection of oursociety, hence its critical time that academic work reaches beyond the traditional journal venues. Also,development of the ethno-theater-based monologues/scripts call for a re-consideration of currentpedagogical practices and policies in higher academia as professors and stakeholders will witness theenactment of some experiences that are everyday reality for Black students. The magnitude of the audio-visual elements of emotions and metaphor of marginalization through different “faces” are profoundreflection tools. References[1] A. S. Browman and M. Destin, “The Effects of a Warm or Chilly Climate Toward
at the 2023 Collaborative Network for Computing and EngineeringDiversity (CoNECD), Feb. 2023.[9] J. Martin and S. Newton, “Uncovering Forms of Wealth and Capital Using AssetFrameworks in Engineering Education,” in 2016 ASEE Annual Conference & ExpositionProceedings, New Orleans, Louisiana: ASEE Conferences, Jun. 2016, p. 27087. doi:10.18260/p.27087.[10] S. L. Dika, M. A. Pando, B. Q. Tempest, and M. E. Allen, “Examining the CulturalWealth of Underrepresented Minority Engineering Persisters,” J. Prof. Issues Eng. Educ.Pract., vol. 144, no. 2, p. 05017008, Apr. 2018, doi: 10.1061/(ASCE)EI.1943-5541.0000358.[11] K. A. Renn and K. D. Arnold, “Reconceptualizing Research on College Student PeerCulture,” The Journal of Higher Education, vol. 74
Paper ID #41597Assessing Critical Thinking in Computer and Software Engineering CoursesDr. Mohammad Shokrolah Shirazi, Marian UniversityHung-fu Chang ©American Society for Engineering Education, 2024Assessing Critical Thinking in Computer and Software EngineeringCoursesMohammad Shokrolah Shirazi a and Hung-Fu ChangbE. S. Witchger School of Engineering, Marian University, Indianapolis, IN, USAa ; b R.B.Annis School of Engineering, University of Indianapolis, IN, USA ABSTRACT Critical thinking is a crucial component of effective
the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References1. Nazi, Wan Iman Wan Mohd, Mohammad Royapoor, Yaodong Wang, and Anthony Paul Roskilly. "Office building cooling load reduction using thermal analysis method–A case study." Applied Energy 185 (2017): 1574-1584.2. Zaid, Suzaini, and Peter Graham. "The need for energy efficiency legislation in Malaysian building sector. A comparative study of Southeast Asian policies." (2012): 200-215.3. Vakiloroaya, Vahid, Bijan Samali, Ahmad Fakhar, and Kambiz Pishghadam. "A review of different strategies for HVAC energy saving." Energy conversion and management 77 (2014): 738-754.4. Tom, Steve. "Managing energy and comfort." ASHRAE journal 50.6
. References[1] X.Yang, H. Hsu, and Y. Li, "A systematic review of instruments measuring college students’ sense of belonging," in American Society for Engineering Education (ASEE) 2023 Conference Proceedings, 2023.[2] S. Wilson and J. Gore, "An attachment model of university connectedness," The Journal of Experimental Education, vol. 81, no. 2, pp. 178-198, 2013.[3] W. C. Lee, H. M. Matusovich, and P. R. Brown, "Measuring underrepresented student perceptions of inclusion within engineering departments and universities," International Journal of Engineering Education, vol. 30, no. 1, pp. 150-165, 2014.[4] G. M. Walton and G. L. Cohen, "A question of belonging: race, social fit, and achievement," Journal
] Santiago, L. & Hensel, R., “Engineering attrition and university retention,” ASEE Annual Conference & Exposition, 2012, pp. 25-538.[4] Moor, S., “Engaging Spaces For First Year Engineering: A Tale Of Two Classrooms,” ASEE Annual Conference & Exposition, 2010, pp. 15-47.[5] Concannon, J. & Barrow, L., “A cross-sectional study of engineering students’ self-efficacy by gender, ethnicity, year, and transfer status” Journal of Science Education and Technology, 18, 2009, pp 163-172.[6] Hutchison, M., Follman, D., Sumpter, M., & Bodner, G., “Factors influencing the self‐efficacy beliefs of first‐year engineering students,” Journal of Engineering Education, 95(1), 2006, pp. 39-447.[7
Operating Waterflood Station,” Washington DC, 2021.[8] United States Chemical Safety and Hazard Investigation Board, “Final Investigation Report: Chevron Richmond Refinery #4 Crude Unit,” Richmond, California, Jan. 2015.[9] United States Chemical Safety and Hazard Investigation Board, “Investigation Report Refinery Explosion and Fire,” 2007.[10] K. Donmez and S. Uslu, “The effect of management practices on aircraft incidents,” J Air Transp Manag, vol. 84, 2020, doi: 10.1016/j.jairtraman.2020.101784.[11] Y. Guntzburger, T. C. Pauchant, and P. A. Tanguy, “Ethical Risk Management Education in Engineering: A Systematic Review,” Science and Engineering Ethics, vol. 23, no. 2. Springer Netherlands, pp. 323
strategy transition like this and is a lead in for futurework to see if agreement can be reached between these two groups.References[1] E. DeGraaf & A. Kolmos, “Characteristics of problem-based learning”. International Journal of Engineering Education, 19(5), 657-662, 2003.[2] H. Schmidt, “Problem-based learning: rationale and description,” Medical education, 17(1), 11–16, 1983.[3] P. Terenzini, A. Cabrera, C. Colbeck, J. Paprente, & S. Bjorklund, “Collaborative learning vs. lecture/discussion: Students' reported learning gains,” Journal of Engineering Education, 90(1), 123- 130, 2001[4] M. McCracken & R. Waters, “Why? When an otherwise successful intervention fails,” In Proceedings of the 4th annual SIGCSE/SIGCUE
research was funded by the National Science Foundation CAREER Grant No. 2144698. Anyopinions, findings, conclusions, or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation. We wouldlike to express gratitude to Team X for participating in this study and for their willingness to opentheir meetings to us and provide feedback on the initial drafts of this paper. We would also liketo thank Dr. Nicola Sochacka for her insightful feedback and discussions as we analyzed ourinitial data. Finally, we would like to thank the members of the ENLITE reserach team who gavefeedback to the drafts of this paper.References [1] Miles MacLeod. What makes interdisciplinarity
still exist betweenmale and female students, especially in STEM. Given these findings, we intend to extend thisstudy by investigating why LCDLMs fostered similar forms of engagement for males andfemales. LCDLMs are inexpensive miniature prototypes of industrial equipment; participantsinteract with the LCDLMs without fear of damaging the equipment. Researchers [17]hypothesize that men are more likely to take risks than women. Although preliminary, we predictthat the female participants in our study were as comfortable using the LCDLMs as the maleparticipants because the modules are inexpensive. Future studies will carefully examine thishypothesis.References[1] E. S. Pietri et al., “Addressing Unintended Consequences of Gender Diversity
least recalibrating) thisalignment should provide students and professionals a clearer roadmap of not only how to train(or re-train as needed) for a career in this field, but also ensure that a robust and vibrantmechatronics industry persists for the foreseeable future. References[1] Liagkou, V., Stylios, C., Pappa, L., & Petunin, A. (2021). Challenges and opportunities in industry 4.0 for mechatronics, artificial intelligence, and cybernetics. Electronics, 10(16). https://doi.org/10.3390/electronics10162001[2] Hegde, G. S. (2010). Mechatronics; Jones and Bartlett Publishers: Burlington, VT, USA.[3] Stobierski, T. (2020, July 15). What is Mechatronics? Northeastern University Blog
Frontiers in Education (p. 208). Frontiers.Juntunen, H., Tuominen, H., Viljaranta, J., Hirvonen, R., Toom, A., & Niemivirta, M. (2022).Feeling exhausted and isolated? The connections between university students’ remote teachingand learning experiences, motivation, and psychological well-being during the COVID-19pandemic. Educational Psychology, 1-21.Khraishi, T. (2021). Teaching in the COVID-19 Era: Personal Reflections, Student Surveys andPre-COVID Comparative Data. Open Journal of Social Sciences, 9(2), 39-53.Larcombe, W., Baik, C., & Finch, S. (2022). Exploring course experiences that predictpsychological distress and mental wellbeing in Australian undergraduate and graduatecoursework students. Higher Education Research & Development