,” 2006.[8] C. Groce, T. Willis, B. S. Sonner, and W. L. James, “Mandatory Class Attendance Policies: Examining the Student Perspective,” 2012.[9] A. Lofgren, “College Students and Class Attendance: How Poverty and Illbeing Affect Student Success through Punitive Attendance Policies,” College Teaching, 2023, doi: 10.1080/87567555.2023.2255714.[10] K. Kasman and Z. Hamdani, “THE EFFECT OF ZOOM APP TOWARDS STUDENTS’ INTEREST IN LEARNING ON ONLINE LEARNING,” vol. 2, no. 3, 2020, doi: 10.31933/dijemss.v2i3.[11] H. ’Raaen, K. ’Gonzalez, R. ’Sørum, “Can Zoom replace the classroom? Perceptions on digital learning in higher education within it,” 20th European Conference on e-Learning, 2021.Appendix A
Paper ID #46507Navigating Design – Maps and Dead ReckoningDr. Alan Cheville, Bucknell University Alan Cheville studied optoelectronics and ultrafast optics at Rice University, followed by 14 years as a faculty member at Oklahoma State University working on terahertz frequencies and engineering education. While at Oklahoma State, he developed courses ©American Society for Engineering Education, 2025 Navigating Design – Maps and Dead-reckoningThis paper looks at engineering design education through an analogy of maritime navigation.The analogy of a journey to a destination while avoiding
) were evaluated to identify which aspects (course material or externalfactors) generated the most predicaments during a semester span. The following challenges wereavailable on the open-ended, self-developed survey: a) lack of knowledge in calculus, geometry,or trigonometry, b) did not study enough, c) course material was too difficult, d) lack of interest inthe course, e) rigor of the course, and f) overwhelmed by other courses. The open-ended responsesdid not identify any pedagogical methods as critical factors to understand course material. Resultsrevealed that 11.9% of the students enrolled in Rigid Body Dynamics and 0% of the student inEngineering Analysis thought the challenges experienced throughout the semester were due to thedifficulty
. 11, no. 1, p. 2392420, 2024.[5] A. Nolte, E. P. P. Pe-Than, A.-a. O. Affia, C. Chaihirunkarn, A. Filippova, A. Kalyanasundaram, M. A. M. Angarita, E. Trainer, and J. D. Herbsleb, “How to organize a hackathon–a planning kit,” arXiv preprint arXiv:2008.08025, 2020.[6] K. Hinton, Hackathons. The Rosen Publishing Group, Inc, 2016.[7] C. Schulten and I.-A. Chounta, “How do we learn in and from hackathons? a systematic literature review,” Education and Information Technologies, pp. 1–32, 2024.[8] M. Przybyła-Kasperek, R. Doroz, A. Lisowska, G. Machnik, A. Nowakowski, K. Wr´obel, and B. Zielosko, “Exploring the educational efficacy and potential of 24-hour hackathon programming marathon–hackemotion,” International Journal of Research
with each presentation, their complaints seem to shift: for instance, one month it is obsessive-compulsive disorder OCD, the next months - it is borderline personality disorder.Responder B: Yes, we have seen an increase in young people seeking help for their mental health, and it seems that it is often at the request of a family member that they live with (parents, siblings, grandparents, etc.). I work in the ER so of course, many of these requests are because of acute needs – suicidal thoughts, suicide attempts, severe behavior problems, and even homicidal thought. While being assessed in the ER, many times, if not all of them, admit to many hours of “screen
designing S-STEM programming for transfer students,there is not necessarily a need to help those students “catch up” to the level of social engagementof the native students. Perhaps a more relevant effort would be educating the faculty in classesthat are likely to have new transfer students on how to create a welcoming environment so thatthose students can feel as fully engaged in the classroom experience in their first term as thestudents who have been on campus longer.This material is based upon work supported by the National Science Foundation under AwardNumber 1833985.References[1] C. W. West and E.J. Steward, "Engaging Transfer Students in a College of Engineering," in ASEE Annual Conference and Exposition, 2023.[2] B. K. Townsend
thestudent to a multicultural, collaborative, knowledge-integrating environment. Through GlobalLearning, students identify, analyze, discuss, and develop proposals for solutions to real problemsin an international context, fostering an ideal environment to develop key skills for globalcitizenship and employability [13]. During the planning period of the COIL experience, ProfessorA, responsible for course A in country A, agrees with Professor B, responsible for course B incountry B, through strategic planning meetings to jointly hold sessions and adapt the part of thecourse that corresponds so that the hybrid class between the groups has the same topic [14]. COILaims to link, partially or totally, a course of the institution with another course of
have inquired about use of the mobile launcher in support of ongoing research efforts. It is theauthor’s belief that the USAFA program will continue to see ebbs and flows in the program interestand size.The interested reader can find various news articles, pictures, and video segments of the USAFAFalconLaunch program online, which may be of some utility for those desiring to pattern a similareffort. Some representative pictures from the program are included in Appendix B of this paper andshow possible futures for the UAF rocketry program. Hands-On Aerospace Engineering – Learning By Doing: RocketryUAF Program. The University of Alaska’s Rocket Systems Design course is expected to accomplishmuch the same as was done with the
toglobal mindset and also investigate correlations between demographic factors and mindsetgrowth and awareness. Future research will also utilize qualitative methods. Qualitativeresponses to the GES survey will be analyzed and focus groups will be interviewed to helpidentify the impact of each intervention on the global learner mindset. Beyond these steps wehope to be able to expand our research to include more interventions, including a study-abroadexperience, and a more diverse student sample.References[1] Johri, A., & Jesiek, B. K, “Global and international issues in engineering education,” Cambridge Handbook of Engineering Education Research, 655-672, 2014.[2] Williams, R, “Education for the Profession Formerly Known as
Fun and Challenging Engineering Dynamics Project Using A Lego Construction Set Paper presented at 2003 Annual Conference, Nashville, Tennessee. 10.18260/1-2—12496[5]. O'Connor, D. (2017, June), Investigations into Engineering Dynamics Theory: A Student-Led Project to Utilize Smartphone Technology Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. 10.18260/1-2—28590[6]. Mavrommati, K., & Rossman, E. W., & Self, B. P., & Davis, J. T. (2018, March), Incorporating Motion Capture Technology in Undergraduate Engineering Dynamics Paper presented at 2018 ASEE Zone IV Conference, Boulder, Colorado. 10.18260/1-2—29618[7]. Le, X., & Ma, G. G., & Duva, A. W. (2015, June), Testing
onEngineering Math Grade Grade ENGR Gen ENGR Out of ENGR Left University 38 12 7 3 A 18.716 22.018 11.376 7.890 19.870 4.558 1.683 3.031 49 50 20 8 B 39.615 46.606 24.080 16.700 2.224 0.247 0.691 4.533 15 44 19 5 C 25.890 30.459
online recruitment and screening form distributed by instructors who taught third andfourth-year engineering courses and through institutional email listserv of upper-levelengineering students. Participants who completed the online form and met the criteria for NTESfor our study were contacted to schedule an interview with the researcher. 16 students wereinterviewed, six from Institution A and 10 from Institution B. All interviews were professionallytranscribed and coded by three research assistants at Institution A. The intercoder reliability forthe interviews is 0.8 (Krippendorff’s Alpha), with 67 codes identified. The codes show twomajor themes – NTES interactions with other students, and their skillsets that are often observedand discussed
II. Complementary courses (19-22 credits) Group A. 4 credits from: COMP 551 [4] Applied Machine Learning ECSE 551 [4] Machine Learning for Engineers COMP 551 and ECSE 551 cannot both be taken Group B. 3 credits from: ECSE 343 [3] Numerical Methods in Engineering MATH 223 [3] Linear Algebra MATH 247 [3] Honours Applied Linear Algebra MATH 271 [3] Linear Algebra and Partial Differential Equations Group C. 3 credits from: AEMA 310 [3] Statistical Methods 1 CIVE 302 [3] Probabilistic Systems ECSE 205 [3] Probability and Statistics for Engineers MATH 203 [3] Principles of Statistics 1 MATH 323 [3] Probability MECH 262 [3] Statistics and
emphasized. Additionally, students were required to engage with industrystandards and regulations when developing their solutions. This shows how the faculty-drivenapproach can be used to create a challenging and real-world mechatronics engineering capstoneproject without directly involving an industry sponsor. b. 2019-2024: student-driven The current method used for capstone projects, adopted in 2019 at the request of studentsand due to program growth, is student-driven. One challenge of the faculty-driven model is thatit works well with a relatively small number of students (< 20 or so) but becomes challengingwith a large number of students. With approximately 15 or more new projects needed each year,a student-driven approach
, and Abdelouahab Eskawi. In addition, we would like to acknowledge and thankJoe Margaret Claudio, Bridget O’Connell, and Dr. Russell Ceballos for their invaluable help andcontributions to this study.Approved by the CCC IRB protocol IRB2018007.References[1] J. Whittaker, B. McLennan, and J. Handmer, “A review of informal volunteerism in emergencies and disasters: Definition, opportunities and challenges,” Int. J. Disaster Risk Reduct., vol. 13, pp. 358–368, Sep. 2015, doi: 10.1016/j.ijdrr.2015.07.010.[2] C. A. Flanagan, T. Kim, J. Collura, and M. A. Kopish, “Community Service and Adolescents’ Social Capital,” J. Res. Adolesc., vol. 25, no. 2, pp. 295–309, Jun. 2015, doi: 10.1111/jora.12137.[3] A. Van Goethem, A. Van Hoof, B. Orobio
development.KeywordsRobotic swarm, biologically inspired resilient systems, experimental platform, multi-disciplinaryengineering, systems engineering STEM outreach1 IntroductionThe characteristics of biologically inspired swarm algorithms are derived from naturalphenomena such as complex collective interactions between ants, bees, birds, fish etc. [1, 2, 3]These algorithms have provided innovative methodologies to solve problems pertaining tocomplex systems in the real world that require a high level of computation. Yuce B. et al. [4]utilized the concept of foraging behavior honeybees to propose a new Adaptive NeighborhoodSite change and Site Abandonment (ANSSA)-based optimization algorithm and tested it withmultiple benchmark functions. E. Sahin [5] presents a
research focused on the racialization of digital campus spaces through the lens of undergraduate experiences and administrative reflection on organizational infrastructure and digital campus culture. Her other research interests include racial equity and STEM education, whiteness and organizational change, untangling whiteness in research approaches, and equity-focused research on higher education in the deep south.Shaundra Bryant Daily, Massachusetts Institute of Technology Shaundra B. Daily is a Cue Family professor of practice in Electrical and Computer Engineering & Computer Science at Duke University and Levitan Faculty Fellow, Special Assistant to the Vice Provosts. Prior to joining Duke, she was an associate
/JWomenMinorScienEng.2014007429.[7] R. E. Friedensen, E. Kimball, A. Vaccaro, R. A. Miller, and R. Forester, "Queer science: Temporality and futurity for queer students in STEM," Time & Society, vol. 30, no. 3, pp. 332-354, 2021, doi: 10.1177/0961463x211008138.[8] A. Mattheis, D. C.-R. De Arellano, and J. B. Yoder, "A model of queer STEM identity in the workplace," J. Homosex., vol. 67, no. 13, pp. 1839-1863, 2020, doi: 10.1080/00918369.2019.1610632.[9] A. Godwin, "The development of a measure of engineering identity.," presented at the ASEE Annual Conference and Exposition, New Orleans, Louisiana, June 26, 2016. [Online]. Available: https://peer.asee.org/26122.[10] Z. Hazari, G. Sonnert, P. M. Sadler, and M.-C
was used, with typical multiple-choice questionsshown in the example from session 2 below:How many elements are there in the periodic table? [A] Only around 50 [B] A little over 100 [C] ThousandsHow many of the above-mentioned elements are metals? [A] Only around 20: [B] Nearly half of them [C] Considerably more than half of themWhy do copper mines produce more waste than 100 years ago? [A] Copper has become scarcer and pricier [B] Mining companies are less environmentally minded today [C] Copper recycling has become less efficientWhat is embodied energy? [A] The energy it takes to produce 1 kg of material [B] The energy you can get if you burn the material [C] The energy you can get
: ˙ x(t) = Ax(t) + Bu(t) y(t) = Cx(t) + Du(t)where: x is the n × 1 state vector, y is the m × 1 output vector, u is the r × 1 input (or control) vector, A is the n × n state matrix, B is the n × r input matrix, C is the m × n output matrix, D is the m × r feedthrough (or feedforward) matrix. The n × nr controllability matrix is given by: R = B AB A2 B · · · An−1 B The system is controllable if the controllability matrix has full row rank (i.e.,rank(R) = n). If and only if the column rank of the observability matrix, defined as
Times. Available at: https://www.nytimes.com/2018/05/30/opinion/disability-design-lifehacks.htmlKimball, E. W., Wells, R. S., Ostiguy, B. J., Manly, C. A., & Lauterbach, A. A. (2016). Students with disabilities in higher education: A review of the literature and an agenda for future research. In M. B. Paulsen (Ed.), Higher Education: Handbook of Theory and Research (Vol. 31, pp. 91–156). Springer International Publishing. https://doi.org/10.1007/978-3- 319-26829-3_3Koehn, E. (2004). Enhancing Civil Engineering Education and ABET Criteria through Practical Experience. Journal of Professional Issues in Engineering Education and Practice, 120(2). https://doi.org/10.1061/(ASCE)1052-3928(2004)130:2(77)In M. B
potentialimpact on student learning and success.References[1] B. F. Skinner, "Science and human behavior", Simon and Schuster, 1965.[2] R. Gagne, W. Wager, K. Golas, J. Keller and J. Russell, "Principles of instructional design", Wiley Online Library, 2005.[3] K. Basinger, D. Alvarado, A. Ortega, D. Hartless, B. Lahijanian, and M. Alvarado, "Creating ACTIVE Learning in an online Envrionment" in Proceesings of the 2021 ASEE annual Conference, Virtual Conference, 2021[4] P. Ertmer and T. Newby, "Behaviorism, cognitivism, constructivism: Comparing critical features from an instructional design perspective," Performance Improvement Quarterly, vol. 26, no. 2, pp. 43-71, 2013.[5] Stine Sonne Carstensen, Christopher
am I and what am I going to do with my life? Personal and collective identitiesas motivators of action. Educational psychologist, 44(2), pp.78-89. Hamari, J., Shernoff, D.J., Rowe, E., Coller, B., Asbell-Clarke, J. and Edwards, T., 2016. Challenginggames help students learn: An empirical study on engagement, flow and immersion in game-based learning.Computers in human behavior, 54, pp.170-179. Hossler, D. and Vesper, N., 1999. Going to college: How social, economic, and educational factorsinfluence the decisions students make. JHU Press. Israel, B. A., Schulz, A. J., Parker, E. A., & Becker, A. B. (1998). Review of community-basedresearch: Assessing partnership approaches to improve public health. Annual Review
schools, and communities aim to create a ripple effectof positive change, inspiring future generations to address environmental challengescollaboratively.AcknowledgmentThis material is based upon work supported by the National Science Foundation under AwardNo. (2348977).Reference[1] R. Geyer, J. R. Jambeck, and K. L. Law, “Production, use, and fate of all plastics ever made,” Sci. Adv., vol. 3, no. 7, p. e1700782, Jul. 2017, doi: 10.1126/sciadv.1700782.[2] N. Parashar and S. Hait, “Plastics in the time of COVID-19 pandemic: Protector or polluter?,” Sci. Total Environ., vol. 759, p. 144274, Mar. 2021, doi: 10.1016/j.scitotenv.2020.144274.[3] A. Mallik, K. A. M. Xavier, B. C. Naidu, and B. B. Nayak, “Ecotoxicological and physiological
. Diefes-Dux, and K. Bowman, Eds., Rotterdam: Sense Publishers, 2008, pp. 17–35. doi: 10.1163/9789087904043_004.[21] R. Lesh, M. Hoover, B. Hole, A. Kelly, and T. Post, “Principles for developing thought revealing activities for students and teachers,” in Handbook of research design in mathematics and science education, M. Hoover and R. Lesh, Eds., Routledge, 2000, pp. 591–645.[22] R. Lesh, “Foundations for the Future in Mathematics Education,” in Foundations for the Future in Mathematics Education, R. Lesh, E. Hamilton, and J. J. Kaput, Eds., Routledge, 2007, pp. vii–x.[23] M. A. Hjalmarson, H. A. Diefes-dux, and T. J. Moore, “Designing model development sequences for engineering,” in Models and modeling in
telephone troubleshooting: students build and verify acircuit according to a given design. However, in this activity, every member of the group builds a circuit they have notseen before. Students then break the circuit in a specific way, such that all students who troubleshoot that circuit will besearching for the same set of faults. Appendix B presents two examples of task sheets to hand out in class. Logistically,every student needs access to the observation worksheet (hardcopy or online); datasheets for any components in thecircuit; and instructions on how to build, verify, and break one circuit.Students then take turns troubleshooting a circuit while their group members fill in the observation protocol. Aftereach troubleshooting round, both the
place (or activity) in the world that you graduate and undergraduate students atabsolutely love that you would want to show your Pontificia Universidad Javeriana and theexchange partners. Include your name, a picture, University of Florida worked together toand a short description” (Figure 2). This activity identify a health challenge that could behelped students to get to know each other and set addressed with bioengineering solutionsa positive tone for future teamwork. in their partners’ country. A B Figure 2. Padlet Icebreaker Activity. (A) Screenshot of the Padlet interactive icebreaker, where students introduced themselves and shared a part
, "Regulating motivation and cognition in the classroom: The role of self-schemas and self-regulatory strategies," in Self-regulation of learning and performance: Issues and educational applications, D. H. Schunk & B. J. Zimmerman, Eds., Hillsdale, NJ: Erlbaum, 1994, pp. 127-153.[3] O. Lawanto, A. Minichiello, J. Uziak, and A. Febrian, “Students’ Task Understanding during Engineering Problem Solving in an Introductory Thermodynamics Course,” Int. Educ. Stud., vol. 11, no. 7, p. 43, Jun. 2018.[4] M. C. Wittrock, “Generative learning processes of the brain”. Educational psychologist, 1992, 27(4), 531-541.[5] L. W. Hyeon, L. Y. Kyu, and G. L. Barbara, “Improving self-regulation, learning strategy use
. 2nd Edition., 1997. Kogan Page Limited, 1997. Accessed: May 22, 2023. [Online]. Available: https://eric.ed.gov/?id=ED415220[4] F. Dochy, M. Segers, P. V. D. Bossche, and K. Struyven, “Students’ Perceptions of a Problem-Based Learning Environment,” Learning Environ Res, vol. 8, no. 1, pp. 41–66, Jan. 2005, doi: 10.1007/s10984-005-7948-x.[5] B. Galand, B. Raucent, and M. Frenay, “Engineering Students’ Self-regulation, Study Strategies, and Motivational Believes in Traditional and Problem-based Curricula,” International Journal of Engineering Education, vol. 26, no. 3, pp. 523–534, 2010.[6] J. Strobel and A. van Barneveld, “When is PBL More Effective? A Meta-synthesis of Meta- analyses Comparing PBL to Conventional
of these lessons by providingaccessible and engaging training in a safe environment.References [1] S. M. Fiore, T. J. Wiltshire, S. Greiff, J. Andrews-Todd, P. W. Foltz, and F. W. Hesse, “Advancing the science of collaborative problem solving,” Psychological Science in the Public Interest, vol. 19, no. 2, pp. 59–92, 2018. [2] O. for Economic Co-operation and Development, PISA 2015 Assessment and Analytical Framework: Science, Reading, Mathematic, Financial Literacy and Collaborative Problem Solving. Paris: OECD Publishing, 2017. [3] B. of Labor Statistics, “Occupational outlook handbook: Data scientists,” 2023. Accessed: 2025-01-13. [4] E. A. Vance and H. S. Smith, “The asccr frame for learning essential collaboration skills,” arXiv