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opinions, findings, conclusions, and recommendations expressed in this publication arethose of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.Reference[1] J. R. Brown, I. Kuznetcova, E. K. Andersen, N. H. Abbott, D. M. Grzybowski, and C. D. Porter, “Full Paper: Implementing Classroom-Scale Virtual Reality into a Freshman Engineering Visuospatial Skills Course,” Jul. 2019. Accessed: Jan. 25, 2024. [Online]. Available: https://peer.asee.org/full-paper-implementing-classroom-scale-virtual-reality-into- a-freshman-engineering-visuospatial-skills-course[2] D. Moyaki, D. May, N. Hunsu, P. Irukulla, and C. T. Gomillion, “Introduction of a Virtual Reality Laboratory in a Tissue Engineering Course
intervention and non-intervention courses and developprotocols for investigating long-term strategy transfer and adoption in students’ engineeringcoursework.AcknowledgmentThis material is based upon work supported by the National Science Foundation under AwardNo. 2315777.ReferenceDattathreya, P., & Shillingford, S. (2017). Identifying the ineffective study strategies of first year medicalschool students. Medical Science Educator, 27, 295-307.Blasiman, R. N., Dunlosky, J., & Rawson, K. A. (2017). The what, how much, and when of studystrategies: Comparing intended versus actual study behaviour. Memory, 25(6), 784-792.McDaniel, M. A., & Einstein, G. O. (2020). Training learning strategies to promote self-regulation andtransfer: The knowledge
," Educational Psychology Review, vol. 22, no. 3, pp. 271-296, 2010, doi: 10.1007/s10648-010-9127-6.[5] B. R. Belland, Instructional Scaffolding in STEM Education : Strategies and Efficacy Evidence, 1st ed. Cham: Springer International Publishing : Imprint: Springer,, 2017, pp. 1 online resource (XI, 144 pages 10 illustrations). [Online]. Available: https://hdl.loc.gov/loc.gdc/gdcebookspublic.2019761409.[6] R. S. Adams, J. Turns, and C. J. Atman, "Educating effective engineering designers: The role of reflective practice," (in English), Designing in Context, Proceedings, pp. 363-381, 2001. [Online]. Available: ://WOS:000177350200023.[7] M. Lande and L. Leifer, "Difficulties Student Engineers Face Designing the Future," (in
University of Houston. The opinions, findings, conclusions, orrecommendations expressed are those of the author(s) and do not necessarily reflect the viewsof the National Science Foundation.REFERENCES[1] National Science Foundation, “Alliances for Graduate Education and the Professoriate (AGEP) Program Solicitation,” Alexandria, VA: NSF 21-576, 2021.[2] E. M. Bensimon, “The Diversity Scorecard: A Learning Approach to Institutional Change”, Change: The Magazine of Higher Learning, vol. 36, no.1, pp.44-52, 2004.[3] F. Harris III and E. M. Bensimon, “The Equity Scorecard: A Collaborative Approach to Assess and Respond to Racial/Ethnic Disparities in Student Outcomes", New Directions for Institutional Research, pp. 77-84, 06
Education Conference (FIE). IEEE, 2023, pp. 1–5. [8] R. Burcin and J. M. Dolan, “Transforming undergraduate research experiences with experiential learning,” 2023. [9] M. Mastronardi, M. Borrego, N. Choe, and R. Hartman, “The impact of undergraduate research experiences on participants’ career decisions,” Journal of STEM Education: Innovations and Research, vol. 22, no. 2, pp. 75–82, 2021.[10] D. Lopatto, “Undergraduate research experiences support science career decisions and active learning,” CBE—Life Sciences Education, vol. 6, no. 4, pp. 297–306, 2007.[11] E. Seymour, A.-B. Hunter, S. L. Laursen, and T. DeAntoni, “Establishing the benefits of research experiences for undergraduates in the sciences: First findings from a three-year
research and learning: forms of access and perceptions of utility. Heliyon 2018, 4, doi:10.1016/j.heliyon.2018.e01052.2. Loke, S.-K. How do virtual world experiences bring about learning? A critical review of theories. Australasian Journal of Educational Technology 2015, 31, doi:10.14742/ajet.2532.3. Harsası, M. The Use of Open Educational Resources in Online Learning: A Study of Students’ Perception. Turkish Online Journal of Distance Education 2015, 16, 74-87, doi:10.17718/tojde.46469.4. Hostager, T.J. Online Learning Resources Do Make a Difference: Mediating Effects of Resource Utilization on Course Grades. Journal of Education for Business 2014, 89, 324- 332, doi:10.1080
Fall 2023, she began co-teaching Auburn University’s Engineering Orientation (ENGR 1100) course to all first-year students, teaching approximately 1300 students yearly. ©American Society for Engineering Education, 2025 GIFTS: Restructuring a First-Year Engineering Course to Introduce a Variety of Technical Communication ActivitiesMotivation Over the past few years, the Samuel Ginn College of Engineering at Auburn Universityhas been working to restructure the curriculum of the first-year engineering sequence, starting withthe Engineering Orientation (ENGR 1100) course. This course meets once a week for 50 minutesand is a required 0-credit hour Pass (S)/Fail (U) course taken by all
? What are some challenges of implementing secure embedded systems? How confident are you in your ability to identify and fix vulnerabilities in embedded system s/w? How confident are you in your ability to secure embedded systems from cyberattacks?Knowledge What aspects of cybersecurity for embedded systems do you feel most comfortable with?Improvement What aspects of cybersecurity for embedded systems do you feel least comfortable with? How can this lab be improved to help students learn more about cybersecurity for embedded systems? (Only Post-Lab Survey) 2. Reading Material: Purpose: The reading material titled "Cybersecurity Fundamentals for Embedded Systems" is provided
scholarly production: How great is the impact?" Scientometrics, vol. 105, pp. 1809–1831, 2015.7. R. Thomopoulos, S. Destercke, B. Charnomordic, I. Johnson, and J. Abécassis, "An iterative approach to build relevant ontology-aware data-driven models," Information Sciences, vol. 221, pp. 452-472, 2013.8. N.F. Noy and D.L. McGuinness, "Ontology development 101: A guide to creating your first ontology," Stanford University, 2001. [Online]. Available: https://corais.org/sites/default/files/ontology_development_101_aguide_to_creating_your_fir st_ontology.pdf9. A.L.A. Menolli, H.S. Pinto, S.S. Reinehr, and A. Malucelli, "An incremental and iterative process for ontology building," in ONTOBRAS, Proceedings of the 6th Seminar on Ontology
Bloom’s level and the average level for the CSTA standards.The CSTA standards have a higher average level than most states. This portion of the analysisdoes suggest that there is a wide variety in the cognitive complexity of state standards as written,ranging from a high of nearly 4.0 (or the analyze level) to a low of about 2.5 (the understandlevel). Our analysis did not pinpoint the underlying cause(s) of these differences. Future teams ofstate standards writers may, therefore, find it useful to assess whether their standards reflect thecognitive complexity level that they deem most appropriate. To date, there is little to no researchindicating what average level of cognitive complexity – or distribution of cognitive complexity ina set of
review of the statistical methodology used and available. BMC medical research methodology, 16,pp.1-19. Betancourt, J. R., Green, A. R., Carrillo, J. E., & Owusu Ananeh-Firempong, I. (2016). Definingcultural competence: A practical framework for addressing racial/ethnic disparities in health and health care.Public Health Reports, 118(4), 293–302. Dehghanzadeh, H., Farrokhnia, M., Dehghanzadeh, H., Taghipour, K. and Noroozi, O., 2024. Usinggamification to support learning in K‐12 education: A systematic literature review. British Journal ofEducational Technology, 55(1), pp.34-70. Estrada, M., Burnett, M., Campbell, A.G., Campbell, P.B., Denetclaw, W.F., Gutiérrez, C.G., Hurtado,S., John, G.H., Matsui, J., McGee
). Fundamentals of Engineering Thermodynamics. John Wiley & Sons.NIST. (2024). Refprop. Retrieved from https://www.nist.gov/srd/refprop.Orlando M Ayala, O. P. (2017). Flipped classroom as blended learning in a fluid mechanics course in engineering technology.Patrick Tebbe, S. R. (2007). Promoting student engagement in thermodynamics with engineering scenarios. 2007 Annual Conference & Exposition.Shapiro, M. a. (2023). INTERACTIVE THERMODYNAMICS: IT. Retrieved from https://www.wiley.com/college/moran/it.htmV Ismet Ugursal, C. A. (2015). Student opinions and perceptions of undergraduate thermodynamics courses in engineering. European Journal of Engineering Education, 40(6), 593-610
Handouts and Complementary DocumentsInstructional ManualThe instructional manual was structured in six parts: the first four detailed the construction of themechanical components in a sequential joint-by-joint fashion, with the final two parts delineatingthe assembly of the electronic modules on a pre-wired breadboard. Specifically, part one coversthe assembly of the arm base of which contains the stepper motor and principal rotation axisstructure (the “S” joint). Part two requires students to develop the principal forward-backwardcontrol piece (the “L” joint). Part three introduces the secondary forward-backward control via acoupling to the L-joint (the “U” joint). Part four details incorporation of the axes controlling theclaw movement and
module was implemented in an inverted pendulum robot to estimate angles and angular velocities, enabling stabilization through optimal regulator control. Furthermore, the module was used to identify critical parameters, such as the viscous damping coefficient, through experimental measurements.Acknowledgement This research is supported by JSPS Research Grants 24K06133 and the 2024 SIT’s Grant for Educational Reform and Research Activity.References[1] R. Rütters, M. Bragard and S. Dolls, "The Inverted Rotary Pendulum: Facilitating Practical Teaching in Advanced Control Engineering," 2024 IEEE Global Engineering Education Conference (EDUCON), Kos Island, Greece, 2024, pp. 1-5, doi: 10.1109/EDUCON60312.2024.10578937.[2] X. Jordens
teaching assistants:From intent-based chatbots to LLM-powered teaching assistants. Natural Language Processing Journal,8, 100101. https://doi.org/10.1016/j.nlp.2024.100101[3] Lyons, M., & Deitrick, E., & Ball, J. R. C. S. (2024, June), Characterizing Computing Students' Use ofGenerative AI. In Proceedings of the 2024 ASEE Annual Conference & Exposition, Portland, Oregon.https://doi.org10.18260/1-2--48453[4] M. A. Cardona, R. J. Rodriguez, and K. Ishmael, “Artificial Intelligence and the Future of Teachingand Learning Insights and Recommendations,” Office of Educational Technology, May 2023. Available:https://www2.ed.gov/documents/ai-report/ai-report.pdf[5] Lyu, W., Wang, Y., Chung, T. (R.), Sun, Y., & Zhang, Y. (2024). Evaluating
, "Engineering globalization: Oxymoron or opportunity?," IEEE Technol. Soc. Mag.,vol. 24, no. 3, pp. 8–15, 2005.[6] UNESCO, Recommendation on the Ethics of Artificial Intelligence. United Nations Educational,Scientific and Cultural Organization, 2021. [Online]. Available:https://unesdoc.unesco.org/ark:/48223/pf0000381137[7] Osunbunmi, I. S., Cutler, S., Dansu, V., Brijmohan, Y., Bamidele, B. R., Udosen, A. N., ... &Shih, B. P. J. (2024, June). Board 45: Generative Artificial Intelligence (GAI)-Assisted Learning:Pushing the Boundaries of Engineering Education. In 2024 ASEE Annual Conference & Exposition.[8] W. E. Kelly, Ed., Assessment in Engineering Programs: Evolving Best Practices. Tallahassee,FL: Association for Institutional Research, 2008
: 600 teachersWashington State is considering a CS requirement in high school. In preparation for this potentialchange, CS education advocates estimated the number of teachers needed to support a newcourse requirement. As an initial approach to calculate the number of teachers needed, the stateteam used the following approach: 1) The assumption that the requirement would be met with a single high school CS course (which they acknowledge is not a sound assumption given the ambiguity of the law, but does offer the most feasible implementation path). 2) Determine the average number of graduating students in the state in a 4-year window (S). 3) Subtract the average number of high school students per year taking a CS course
,” European Journal ofEngineering Education, vol. 42, pp. 1–23, Feb. 2017, doi: 10.1080/03043797.2017.1287664.[4] A. Patrick and M. Borrego, “A review of the literature relevant to engineering identity,” in2016 ASEE Annual Conference & Exposition Proceedings, New Orleans, Louisiana: ASEEConferences, Jun. 2016, p. 26428. doi: 10.18260/p.26428.[5] S. L. Rodriguez, C. Lu, and M. Bartlett, “Engineering identity development: a review of thehigher education literature,” International Journal of Education in Mathematics, Science andTechnology, vol. 6, no. 3, Art. no. 3, May 2018.[6] B. Scheuringer, “Multiple Identities: A theoretical and an empirical approach,” EuropeanReview, vol. 24, no. 3, pp. 397–404, Jul. 2016, doi: 10.1017/S1062798716000120.[7] J
Section Annual Meeting, Austin, TX, Apr. 2019. [Online].Available: https://peer.asee.org/31543[2] J. Krajcik, C. Czerniak, and C. Berger, Teaching Science: A Project-Based Approach. NewYork: McGraw-Hill College, 1999.[3] Project Workshop – The University of Texas at Dallas. [Online]. Available:https://labs.utdallas.edu/projectworkshop[4] I. B. Pettersen et al., “From making gadgets to making talents: Exploring a universitymakerspace,” Education+ Training, vol. 62, no. 2, pp. 145–158, 2020.[5] K. Youmans, I. Villanueva, L. Nadelson, J. Bouwma-Gearheart, A. Lenz, and S. Lanci,“Makerspaces vs Engineering Shops: Initial Undergraduate Student Impressions,” in Proc. 2018IEEE Frontiers in Education Conf. (FIE), San Jose, CA, USA, 2018, pp. 1–5, doi
problems given in Figs. 1a, 1b & 1c as developed in Blackboard (instructor view) – Dynamics of MachinesFigure 1d shows the Question Set as developed in Blackboard. There are two question sets: Q 1has two problems out of which one will be delivered to a student and Q 2 has only one problemthat will be delivered to every student. One might ask why not put two problems in Q 2 too, onefor each of the alternate problems (given in Fig. 1a & 1b)? The answer lies in the wayBlackboard works. If there are two problems in question set 2 one for each problem in questionset 1, then those may (or will) be mismatched as there is no control over which problem(s) aregiven from the set. It is quite possible that all students may get the same problem in
Discovery School School LOI alias experience participation subject(s) alias quintile Biology and Linda 25 6 chemistry A 5th Jeff 7 3 Physics Casey 14 3 Biology Greg 3 1 Biology Oliver 5 2 Physics B 3rd Karl
an idea/ developing an initial version/ few customers or users/ mature stage? 5. What is the size of the company? And the team? What is the composition of the team(s)?Questions about the role of the PDM are: 1. What are your duties and responsibilities as PDM? (Business, technical, and design) 2. What are the most important duties and responsibilities? 3. What is your daily routine? 4. Do you have weekly or monthly duties that are not included in your daily routine? 5. Does the team follow a defined development process? How was this process defined? 6. Do you have management duties? 7. What are the tools you use? 8. What are the challenges you face? 9. Have you worked in other companies as a PDM? 10. If yes, what
Proceedings, Salt Lake City, Utah: ASEE Conferences, 2018, p. 29935.[6] L. Malcom-Piqueux, "Transformation in the U.S. Higher Education System: Implications for Racial Equity," 2020.[7] E. Wenger, Communities of Practice: Learning, Meaning, and Identity, Cambridge University Press, New York, 1998.[8] S. U. Smith, S. Hayes, and P. Shea, "A Critical Review of the Use of Wenger’s Community of Practice (CoP) Theoretical Framework in Online and Blended Learning Research, 2000-2014," Online Learning Journal (OLJ), vol. 21, no. 1, 2017. doi: https://doi.org/10.24059/olj.v21i1.963.[9] S. R. Rosas, "Group concept mapping methodology: toward an epistemology of group conceptualization, complexity, and emergence
watch out for with respect to accuracy, assumptions, and extrapolation) 3.6 Transport: Describe and give examples of the three modes of transport 3.5 Thermo: Calculate changes in thermodynamic properties using the first and second laws of thermodynamics in conjunction with equations of state or departure functions 3.5 Math Methods: Apply parametric (t statistics) and nonparametric (U statistic; K-S statistic) tests to determine when significant differences exist between two or more sets of data. 3.4 Safety: Assess the safety of a laboratory operation.3.3 Survey analysis of non-core learning objectivesWe created and
Intelligence”, Journal ofTransformative Learning, 10(2), 92-103.[4] C. Ka Yuk Chan, W. Hu. (2023).” Students’ voices on generative AI: perceptions, benefits,and challenges in higher education.” International Journal of Educational Technology in HigherEducation. Cham: Springer International Publishing.[5] R. E. Cummings, S. M. Monroe, & M. Watkins (2024). Generative AI in first-year writing:An early analysis of affordances, limitations, and a framework for the future. Computers andComposition, 71, 102827.[6] A. Hill Duin, et al., (2023). “Stronger Relationships, Stronger Programs: Asserting Expertisefor a Generative AI Landscape.” Council of Professional, Technical, and ScientificCommunication, Annual Conference. Charleston, SC (September 23).[7] A