algebraic equations, allowing for a nuanced understanding of the student'sproficiency levels across various skills within the subject area. A pivotal mathematical model within CDMs is the Deterministic Inputs, Noisy "and" Gate(DINA) model, which assesses mastery or non-mastery statuses across multiple cognitive skillsbased on raw question responses [21], [24]. The DINA model, a latent class model, classifiesstudents into skill mastery profiles based on their responses to exam questions, with each questionhaving a specific relation to one or more skills [21], [24]. The linkage between questions and theircorresponding intended skills are captured in a Q-matrix, a matrix of ones and zeros indicatingwhich questions require a particular skill in
” sessions.In that meeting, they also came up with plans (for communication, conflict management, etc.) forproject management and specify roles (rotational) for themselves.Analysis TechniqueA baseline data was collected at the beginning of the semester to assess students’ pastparticipation in teams and their perception of teamwork. After implementing the interventions, afinal data collection was done to measure student participation and their perception of teamwork.The effect of the interventions (Research Question #1) was measured using the improvement (ordeterioration, calculated by subtracting the baseline score from the final score) in studentparticipation and their perception of teamwork. Student teamwork was measured using the Team-Q survey [21
Maintaining Effective Research Teams. IEEEComputer Society.[7] Bernat, A., Teller, P.J., Gates, A., Delgado, N., & Della-Piana, C.K. (2000, July). Structuringthe student research experience. In Proceedings of the 5th Annual SIGCSE/SIGCUE ITiCSEConference on Innovation and Technology in Computer Science Education, pp. 17-20[8] Gates, A. Q., Hug, S., Thiry, H., Aló, R., Beheshti, M., Fernandez, J., & Adjouadi, M. (2011).The Computing Alliance of Hispanic-Serving Institutions. ACM Transactions on ComputingEducation, 11(3), 1–21. doi:10.1145/2037276.2037280[9] Villa, E. Q., Kephart, K., Gates, A. Q., Thiry, H., & Hug, S. (2013). Affinity Research Groupsin practice: Apprenticing students
) and do not necessarily reflect the views of the National ScienceFoundation.References[1] A. K. Flatt, “A suffering generation: Six factors contributing to the mental health crisis inNorth American higher education.,” Coll. Q., vol. 16, no. 1, pp. 1–17, 2013, [Online]. Available:https://files.eric.ed.gov/fulltext/EJ1016492.pdf.[2] S. K. Lipson et al., “Trends in college student mental health and help-seeking byrace/ethnicity: Findings from the national healthy minds study, 2013–2021,” J. Affect. Disord.,vol. 306, pp. 138–147, 2022, doi: 10.1016/j.jad.2022.03.038.[3] G. Boyraz, R. Granda, C. N. Baker, L. L. Tidwell, and J. B. Waits, “Posttraumatic stress,effort regulation, and academic outcomes among college students: A longitudinal
. Retrieved from https://peer.asee.org/37730Nind, M., & Lewthwaite, S. (2018). Methods that teach: developing pedagogic research methods, developing pedagogy. International Journal of Research & Method in Education, 41(4), 398-410. https://doi.org/10.1080/1743727X.2018.1427057Patton, M. Q. (1999). Enhancing the quality and credibility of qualitative analysis. Health Services Research, 34, 1189-1209. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1089059Rae, D., & Melton, D. E. (2017). Developing an entrepreneurial mindset in US engineering education: an international view of the KEEN project. The Journal of Engineering Entrepreneurship, 7(3), 1-17. https
–61, Jul. 2019, doi: 10.1145/3330794.[3] R. T. Javed et al., “Get out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula,” J. Artif. Intell. Res., vol. 73, pp. 933–965, Mar. 2022, doi: 10.1613/jair.1.13550.[4] L. Tuovinen and A. Rohunen, “Teaching AI Ethics to Engineering Students: Reflections on Syllabus Design and Teaching Methods,” 2021.[5] J. Lönngren, “Exploring the discursive construction of ethics in an introductory engineering course,” J. Eng. Educ., vol. 110, no. 1, pp. 44–69, 2021, doi: 10.1002/jee.20367.[6] R. F. Clancy, Q. Zhu, and Philosophy Documentation Center, “Why Should Ethical Behaviors Be the Ultimate Goal of Engineering Ethics Education?,” Bus. Prof
Australasian Association Engineering Education Conference (AAEE2019), 2019, pp. 568–574, [Online]. Available: https://aaee.net.au/wp- content/uploads/2020/07/AAEE2019_Annual_Conference_paper_72.pdf.[5] D. Chadha et al., “Are the kids alright? Exploring students’ experiences of support mechanisms to enhance wellbeing on an engineering programme in the UK,” Eur. J. Eng. Educ., pp. 1–16, 2020, doi: 10.1080/03043797.2020.1835828.[6] I. Hilliger, G. Astudillo, and J. Baier, “Lacking time: A case study of student and faculty perceptions of academic workload in the COVID-19 pandemic,” J. Eng. Educ., vol. 112, no. 3, pp. 796–815, 2023, doi: 10.1002/jee.20525.[7] Q. Liu and G. Evans, “Supporting Information for the
. Gilmartin, H.L. Chen, M.E. Besterfield-Sacre, N. Duval-Couetil, A.Shartrand, L. Moore, E. Costache, A.M. Fintoc, Q. Jin, C. Ling, F. Lintel, L. Britos Cavagnaro,H. Fasihuddin, A,K., Breed, “Exploring what we don’t know about entrepreneurship educationfor engineers,” ASEE Annual Conference & Exposition, Seattle, WA, 2015. Available:http://epicenter.stanford.edu/documents/ERS%20-%20ASEE_Summit_Paper_FINAL__040515_.pdf.[5] W.E. Mcmullan and W.A. Long, “Entrepreneurship education in the nineties,” Journal ofBusiness Venturing, 2(3), 261-275, 1987. Available:https://www.sciencedirect.com/science/article/pii/0883902687900139[6] J. Rowley, “What did VCs study in college?”, TechCrunch, April 15, 2018. Available:https://techcrunch.com/2018/04/15/what
Value Is that what you got? NA Remember What’s the equation? State Understand So would we do the energy equation to find the Q [heat Recognize transfer]? Apply How did you convert to kilowatts? Solve, Sketch Analyze Why can’t we use enthalpy? Differentiate Evaluate Wait, how do we have an adiabatic turbine? Argue, DefendCategorizing questions depends on more than the initial question. A question like, “How did youconvert to kilowatts?” may not appear to be an application level of learning initially. Followingthe question, the study group went
. Hood, and D. Harkness, "WIP: Methodological considerations forconstructing nontraditional student personas with scenarios from online forum usage data incalculus," in ASEE annual conference proceedings, January 2017.[10] M. Scheidt et al., "Engineering students' noncognitive and affective factors: Groupdifferences from cluster analysis," Journal of Engineering Education, vol. 110, no. 2, pp.343-370, February 2021.[11] J. Chasmar and K. M. Ehlert, "Cluster analysis methods and future time perspective groupsof second-year engineering students in a major-required course," in 2018 ASEE AnnualConference & Exposition, June 2018.[12] Q. Xu, C. Ding, J. Liu, and B. Luo, "PCA-guided search for k-means," Pattern RecognitionLetters, vol. 54, pp. 50
techniques,” in Handbook of qualitative research, Thousand Oaks, CA, US: Sage Publications, Inc, 1994, pp. 377–392.[2] M. Q. Patton, Qualitative Research & Evaluation Methods: Integrating Theory and Practice. SAGE Publications, 2014.[3] S. M. Ravitch and N. M. Carl, Qualitative Research: Bridging the Conceptual, Theoretical, and Methodological. SAGE Publications, 2015.[4] M. V. Angrosino and K. A. Mays de Pérez, “Rethinking observation: From method to context,” Handb. Qual. Res., vol. 2, pp. 673–702, 2000.[5] S. Anwar and M. Menekse, “A systematic review of observation protocols used in postsecondary STEM classrooms,” Rev. Educ., vol. 9, no. 1, pp. 81–120, 2021, doi: 10.1002/rev3.3235.[6] M. T. Hora, A. Oleson, and J. J
, culturally relevant/ sustaining workshop designs. Author 1, had to rely onthe high school mentors’ knowledge and input because they are experts and participants in youthculture. Author 2 “To provide a more comfortable and safe environment for participants to share their ideas and thoughts, we told them all their ideas would be [anonymized post-workshop], and we don’t judge any ideas, we just share and learn. To encourage them to express more, we use a storytelling session instead of the traditional Q&A session to learn about participants’ background experiences with AI/ML and their attitude/perspective of teaching AI/ML. That was a successful attempt. Participants shared more
teacher’s belief system about science teaching and learning,” J. Res. Sci. Teach., vol. 40, no. 9, pp. 835–868, 2003, doi:10.1002/tea.10113.[21] P. N. Johnson-Laird, “Mental models and human reasoning,” Proc. Natl. Acad. Sci. U. S. A., vol. 107, no. 43, pp. 18243–18250, 2010, doi:10.1073/pnas.1012933107.[22] W. B. Rouse and N. M. Morris, “On looking into the black box: Prospects and limits in the search for mental models,” Psychol. Bull., vol. 100, no. 3, pp. 349–363, 1985, [Online]. Available: http://scholar.google.com/scholar?q=related:QM4p5zGC8jMJ:scholar.google.com/&hl=e n&num=30&as_sdt=0,5.[23] K. Carley and M. Palmquist, “Extracting, representing, and analyzing mental models,” Soc
papers offered practical and transferableideas”, and another made“Great contacts who provided excellent suggestions for the direction ofmy research projects.”Regarding opportunities for professional networking, most participants reported having manyopportunities throughout the conference to connect with others. According to one participant,“Ihad many opportunities for networking. Networking was one of the highlights of the conferencefor me.” Another reported that “I spent a lot of time with people I knew but had only met online inthe past. I also met people during sessions and met up between sessions.” Coffee breaks and timebetween sessions gave participants time for conversations, including the time before and Q&Aafterwards. Participants
EngineeringEducation Research as a field, (2) offering sessions on what makes a good graduate application,(3) offering sessions on identifying advisors, and (4) creating interactive time through breakoutrooms and Q&A sessions. Suggested improvements included offering more time and interactionin the breakout sessions. While organizers could consider extending the event next year to meetthis need, individual programs could also think about how to provide more in-depth interactions.The one measured objective that was not achieved as successfully as others was creatingcommunity. This is not surprising as the current showcase construction did not emphasize thisaspect nor intentionally create space to do so.Data from the student perspective are not sufficient
, “Identification of programmers from typing patterns,” in Proceedings of the 15th Koli Calling conference on computing education research, pp. 60–67, 2015. [9] A. Peacock, X. Ke, and M. Wilkerson, “Typing patterns: A key to user identification,” IEEE Security & Privacy, vol. 2, no. 5, pp. 40–47, 2004.[10] E. Lindgren and K. P. Sullivan, “Analysing online revision,” in Computer keystroke logging and writing: methods and applications, pp. 157–188, Elsevier, 2006.[11] G. Abdelrahman, Q. Wang, and B. Nunes, “Knowledge tracing: A survey,” ACM Computing Surveys, vol. 55, no. 11, pp. 1–37, 2023.[12] Y. Mao, Y. Shi, S. Marwan, T. W. Price, T. Barnes, and M. Chi, “Knowing both when and where: Temporal-astnn for early prediction of
quantcrit to gifted education research: an introduction,” Gifted Child Quarterly, vol. 67, no. 1, pp. 80–89, Jan. 2023, doi: 10.1177/00169862221116636.[24] L. R. Bergman and K. Trost, “The Person-Oriented Versus the Variable-Oriented Approach: Are They Complementary, Opposites, or Exploring Different Worlds?,” Merrill Palmer Q., vol. 52, no. 3, pp. 601–632, 2006, doi: 10.1353/mpq.2006.0023.[25] M. C. Howard and M. E. Hoffman, “Variable-Centered, Person-Centered, and Person- Specific Approaches,” Organizational Research Methods, vol. 21, no. 4, p. 109442811774402, Dec. 2017, doi: 10.1177/1094428117744021.
, M. Heagney, and L. Thomas, “Improving Student Retention in Higher Education: Improving Teaching and Learning,” Australian Universities’ Review, vol. 51, no. 2, pp. 9–18, 2009.[25] T. D. Nguyen, J. W. Kramer, and B. J. Evans, “The Effects of Grant Aid on Student Persistence and Degree Attainment: A Systematic Review and Meta-Analysis of the Causal Evidence,” Review of Educational Research, vol. 89, no. 6, pp. 831–874, Dec. 2019, doi: 10.3102/0034654319877156.[26] Li, C. Q. (2021). Teaching Mechatronics to Non-traditional Mechanical Engineering Students-An Adaptive Approach. International Journal of Engineering Pedagogy, 11(3).e[27] Turner, P. E., Johnston, E., Kebritchi, M., Evans, S., & Heflich, D. A. (2018
elaboration,” PLoS Med., vol. 6, no. 7, 2009, doi: 10.1371/journal.pmed.1000100.[11] M. J. Page et al., “PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews,” BMJ, vol. 372, 2021, doi: 10.1136/bmj.n160.[12] M. Petticrew and H. Roberts, Systematic reviews in the social Sciences. Blackwell Publishing, 2006.[13] D. R. Becker, A. Miao, R. Duncan, and M. M. McClelland, “Behavioral self-regulation and executive function both predict visuomotor skills and early academic achievement,” Early Child. Res. Q., vol. 29, no. 4, pp. 411–424, 2014, doi: 10.1016/j.ecresq.2014.04.014.[14] R. Samuelsson, “Embodied reasoning with digital tools in the preschool ecology
(WIL)?,” November 2021. [Online]. Available: https://cewilcanada.ca/CEWIL/CEWIL/About-Us/Work-Integrated- Learning.aspx?hkey=ed772be2-00d0-46cd-a5b8-873000a18b41. [Accessed 21 January 2024].[3] Q. Liu, D. Reeve, C. Rottmann and E. Moore, “Examining Workplace Affordance and Student Engagement in Engineering Co-op and Internship Literature,” Canadian Journal of Science, Mathematics and Technology Education, vol. 20, no. 1, pp. 116-129, 2020.[4] R. Adams, D. Evangelou, L. English, A. D. De Figueiredo, N. Mousoulides, A. L. Pawley, C. Schiefellite, R. Stevens, M. Svinicki, J. M. Trenor and D. W. Wilson, “Multiple Perspectives on Engaging Future Engineers,” Journal of Engineering Education, vol. 100, no. 1, pp. 48-88, 2013
). Some suggested using case studies for deeperunderstanding (“I think you could delve more into case studies and study them in a moredetailed way so as to get a broader scope of human ideologies, history and perspectives” -Student Q).Many students reported that they overcame their initial negative views of humanities whichthey used to previously find “monotonous” (Student R) or irrelevant to engineering. “Ithought humanities wasn’t very related to science and engineering, but I realise now that asan engineer it is very important to be aware about all these topics” (Student S).Quantitative Data Analysis Figure 1: Box plot for Survey QuestionsStudent Evaluations: The course was piloted for the first time with engineering
next items related to confident envisioning, similar to the original creative confidence scale(prefix Q), though two items had loaded on the factor for curiosity instead. The remaining itemswere “I think I can use my creativity to efficiently solve even complicated problems” (Q_1) and“I believe in my abilities to creatively solve a problem” (Q_4). Coupled with two new items, “Iam comfortable to insert into the final solution factors coming from a broader vision” (F_3) and“I can foresee different outcomes of a project” (P_2) we concluded there was satisfactorycoverage of the factor. Together, these items exemplify the creative value of holding and refiningmental solutions during the design process.The final factor was about diversity and
. Journal of Technology and Science Education, 10(2), 199. https://doi.org/10.3926/jotse.888Yaşar, O., Veronesi, P., Maliekal, J., Little, L., Vattana, S. E., and Yeter, I. H. (2016). Computational pedagogy: Fostering a new method of teaching. Computers in Education Journal, 7, 51–72.Yeter, I. H., Tan, V. S. Q., & Le Ferrand, H. (2023). Conceptualization of biomimicry in engineering context among undergraduate and high school students: An international interdisciplinary exploration. Biomimetics, 8(1), 125.
Educational Research, vol. 6, no. 11, pp. 2647-2655, 2018.26. J. C. Rojas, J. C. M. Cañizares, J. L. Higuera-Trujillo, and G. Muniz, "An eye-tracking project in industrial design education: a case study for engaging in the research process," in 2020 IEEE Global Engineering Education Conference (EDUCON), pp. 127-132, IEEE, April 2020.27. S. Hess, Q. Lohmeyer, & M. Meboldt. (2018). Mobile eye tracking in engineering design education. Design and Technology Education, 23(2), n2.28. D. D. Salvucci and J. H. Goldberg, "Identifying fixations and saccades in eye-tracking protocols," in Proceedings of the Eye Tracking Research and Applications Symposium, 2000, pp. 71-78.29. K. Holmqvist et al., "Eye tracking: A comprehensive guide to
to engage deeply with the content, fostering theselection of more effective cognitive and metacognitive strategies for learning. At this stage, wewould like to encourage more instructors and researchers to join our effort in developing theLHETM model and examining its efficacy.AcknowledgementWe express our gratitude to Dr. Jing Liu for the meaningful discussion on data analysis.ReferenceAnderson, L. W., & Krathwohl, D. R. (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives: complete edition. Addison Wesley Longman, Inc.Bao, L., Cai, T., Koenig, K., Fang, K., Han, J., Wang, J., Liu, Q., Ding, L., Cui, L., & Luo, Y. (2009). Learning and scientific reasoning
to capture the desired level of detail in all cases. Furtherwork is necessary to confirm the completeness of the set in its coverage of HCED concepts andtasks, as well as the robustness of interpretation of these items. We have taken some early stepstoward the validation and verification of this instrument, which are outlined in the subsequentsections. Table 1 - HCED Self-Efficacy Instrument items Q# Survey items HCD Taxonomy Space 12 Conduct background research (e.g. Understand internet search, market investigation, etc.) Goal: To attain a good 13 Empathize with stakeholders to identify underlying needs understanding of the
.[6] Q. Liu, S. Kovalchuk, C. Rottmann, and D. Reeve, ‘Engineering co-op and internship experiences and outcomes: The roles of workplaces, academic institutions and students’, 2018.[7] M. Van den Bogaard and J. Strobel, ‘Workplace Spaces As Learning Spaces--Engineering Students’ Experiences With Co-Op’, 2023.[8] D.W. Shaffer and J.P. Gee, How computer games help children learn. New York: Palgrave Macmillan, 2006.[9] L. Mann et al., ‘From problem-based learning to practice-based education: A framework for shaping future engineers’, European Journal of Engineering Education, vol. 46, no. 1, pp. 27–47, 2021.[10] Higgs, R. Barnett, S. Billett, M. Hutchings, F. Trede, and J. Higgs, ‘Practice-based education
Gap for Parents and Educators,” in Visual-spatial Ability in STEM Education: Transforming Research into Practice, M. S. Khine, Ed., Cham: Springer International Publishing, 2017, pp. 195–224. doi: 10.1007/978-3-319-44385-0_10.[17] A. Haverkamp, M. Bothwell, D. Montfort, and Q.-L. Driskill, “Calling for a Paradigm Shift in the Study of Gender in Engineering Education,” vol. 1, no. 2, Art. no. 2, Feb. 2021, doi: 10.21061/see.34.[18] D. H. Uttal et al., “The malleability of spatial skills: A meta-analysis of training studies,” Psychological Bulletin, vol. 139, no. 2, pp. 352–402, 2013, doi: 10.1037/a0028446.[19] S. A. Sorby and B. J. Baartmans, “The Development and Assessment of a Course for