the perceived challenges of live streaming as an informal learning opportunity forcomputer science students?Through this work, we aim to understand and evaluate whether or not live streaming impacts anundergraduate student’s perceived self-efficacy in software or game development, RQ1 . Toquantitatively measure self-efficacy, we have adapted questions from Ramalingam andWiedenbeck’s Computer Programming Self-Efficacy Scale and Hiranrat et al.’s surveymeasurements for software development career [41, 42]. As we allow the students to choose theirown projects and set their own goals, we expect there to be some division among the participantson how quickly they believe themselves to be improved based on the gravity of the goals they setfor
from merely reacting tochallenges to actively learning and growing from them. Ultimately, this approach shifts themindset from reactive problem-solving to personal development and continuous learning. Beyond these alignments, in terms of connection to industry and leadership, personalmastery does have a presence in industry. Literature noting that current engineering education isnot producing leadership qualities in engineers [30] suggests that something must be done tomeet the U.S.’s leadership needs. With many of the traditional organizations within industrytransitioning to learning organizations, likely to meet the demands of the Fourth IndustrialRevolution as learning is the “currency of survival” [8, p.1], lifelong learning remains
specimen, the process of loading the brass specimen can ANDWILL STRETCH THE SPECIMEN. To safely load the brass specimen, follow the processdescribed in step 6 but for the lower jaws, grab the test rod and lightly tap the joystick. Havesomeone monitor the load on the laptop and ensure the load does not exceed 100 lbs. This canhappen very quickly. 6. Once the test rod has been mounted in the jaws, connect the strain gage to the cord, see Figure 6a, by plugging in the data cord to the test rod, see Figure 6b. To connect the cord to the box, with the black locking switches in the up position, see Figure 7a, insert the white wire into the D120 port on Channel 1 Input. Then insert the black wire into the S- port and the red wire
Proteins and DNA are Poorly Correlated”, Mol Biol Evol. 2023 Apr 4;40 (4).with the student population. There are about 5 physics majors, [2] L. Teekas, S. Sharma, and N. Vijay, “Terminal regions of a protein are a50 engineering majors, and 500 ET majors in which 20 of them hotspot for low complexity regions and selection”, Open Biol. 2024are considering transition to engineering. None of the Jun;14(6):230439.participants in this report is majoring in physics. In fact, all the [3] B. Leung, unpublished data, Year of 2025 Great Neck
the instructors, undergraduateteaching fellows, and lab teaching fellows of ENES100 for their collaboration and feedback.References[1] D. Nicol and D. Macfarlane‐Dick, "Formative assessment and self‐regulated learning: A model and seven principles of good feedback practice," Studies in Higher Education, vol. 31, no. 2, pp. 199–218, 2006, doi: 10.1080/03075070600572090.[2] S. Freeman, S. L. Eddy, M. McDonough, M. K. Smith, N. Okoroafor, H. Jordt, and M. P. Wenderoth, "Active learning increases student performance in science, engineering, and mathematics," Proceedings of the National Academy of Sciences, vol. 111, no. 23, pp. 8410– 8415, 2014, doi: 10.1073/pnas.1319030111.[3] Z. Papamitsiou and A. A. Economides
, addressing questions about consistent engagement,academic achievement, and long-term retention in engineering programs. This includes refiningthe intervention based on preliminary findings, such as addressing student misgivings aboutcontent creation and varying technical skill levels.References[1] Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., &Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering,and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415.[2] Wenger, E. (1998). Communities of practice: Learning, meaning, and identity. CambridgeUniversity Press.[3] Vygotsky, L. S. (1978). Mind in society: The development of higher psychological
students and acknowledge that the constraints of a one-semester designcourse may impose tighter timelines onto partners.References[1] C. Titus, C. B. Zoltowski, and W. C. Oakes, “Designing in a Social Context: Situating Design in a Human-Centered, Social World,” presented at the 2011 ASEE Annual Conference & Exposition, Jun. 2011, p. 22.444.1-22.444.11. Accessed: Sep. 28, 2023. [Online]. Available: https://peer.asee.org/designing-in-a-social-context-situating-design-in- a-human-centered-social-world[2] M. E. Beier, M. H. Kim, A. Saterbak, V. Leautaud, S. Bishnoi, and J. M. Gilberto, “The effect of authentic project-based learning on attitudes and career aspirations in STEM,” J. Res. Sci. Teach., vol. 56, no. 1, pp. 3–23
-source materials so we may construct the activity ourselves.References[1] J. K. Perron, C. DeLeone, S. Sharif, T. Carter, J. M. Grossman, G. Passante, and J. Sack, “Quantum Undergraduate Education and Scientific Training,” 2021. [Online]. Available: https://arxiv.org/abs/2109.13850[2] A. Asfaw, A. Blais, K. R. Brown, J. Candelaria, C. Cantwell, L. D. Carr, J. Combes, D. M. Debroy, J. M. Donohue, S. E. Economou, E. Edwards, M. F. J. Fox, S. M. Girvin, A. Ho, H. M. Hurst, Z. Jacob, B. R. Johnson, E. Johnston-Halperin, R. Joynt, E. Kapit, J. Klein-Seetharaman, M. Laforest, H. J. Lewandowski, T. W. Lynn, C. R. H. McRae, C. Merzbacher, S. Michalakis, P. Narang, W. D. Oliver, J. Palsberg, D. P. Pappas, M. G. Raymer, D. J. Reilly, M
strategies toboost preparation and participation, thereby enhancing learning outcomes across engineeringsubjects.Due to the small sample size, it is challenging to make conclusive recommendations based on theobservations. The results of this study, limited to the data from 2022-2023, should not begeneralized to broader conclusions. Further data collection and analysis over several more courseofferings are necessary to draw informative conclusions. Future studies should encompassdifferent courses with larger sample sizes. Engineering faculty can create a more engaging andeffective learning environment in their courses by incorporating the strategy used in this study.References[1] Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N
. “The renaissance foundry: A powerful learning and thinking system to develop the 21st century engineer,” Critical Conversations in Higher Education, 1(2), 2015, 176-202. 6. V. Matthew, S. Lipkin-Moore, P. E. Arce, A. Arce-Trigatti, N. Lavoine, L. Lucia, E. Selvi, M. Eggermont, M. Tiryakioglu, J. Hall, R. Edelen, and J. Plumblee. “A Roadmap for the Design and Implementation of Communities of Practice for Faculty Development,” Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 2022, https://peer.asee.org/40564 7. K. Pabody, C. Wilson, A. Arce-Trigatti, P. E. Arce, S. H. Buer, A. Haynes, R. Chitiyo, J. R. Sanders, and T. Smith. “The Renaissance Foundry Model and culturally
Engineering Education,” 2022. Retrieved from https://engineeringforoneplanet.org/wp- content/uploads/2022_EOP_Framework_110922.pdf 4. P. E. Arce, J. R. Sanders, A. Arce-Trigatti, L. Loggins, J. Biernacki, M. Geist, J. Pascal, and K. Wiant. “The renaissance foundry: A powerful learning and thinking system to develop the 21st century engineer,” Critical Conversations in Higher Education, 1(2), 2015, 176-202. 5. V. Matthew, S. Lipkin-Moore, P. E. Arce, A. Arce-Trigatti, N. Lavoine, L. Lucia, E. Selvi, M. Eggermont, M. Tiryakioglu, J. Hall, R. Edelen, and J. Plumblee. “A Roadmap for the Design and Implementation of Communities of Practice for Faculty Development,” Paper presented at 2022 ASEE Annual Conference
+( ) 𝐸2 𝑁A confidence interval (𝑧) of 95% is chosen, yielding Z-values of 1.96, with a margin of error (𝐸)of 4%-8%, which corresponds to the 95% confidence interval [13]. The standard deviation (𝜎) isestimated to be 1, given the small population size. After n surveys have been completed, thesample standard deviation (s) will be calculated and a confidence interval for σ will bedetermined to ensure that the correct number of samples are take. N is the total population size ofall the students exposed to the flipped classroom with alternate instructors. Three statisticalmethods of means, materiality, statistical relations, and Cronbach’s Alpha, illustrated in Equation(2), will be used to analyze and understand the results of the survey
evaluations ofteaching, course surveys, or simply teaching evaluations) have been used for assessing teachers’effectiveness in one form or another since the 1920’s. In many cases, though, modernassessment has relied far too heavily on student opinions as though it were a comprehensiveassessment of teaching effectiveness and student learning [2], when in fact, there are numerousapproaches to evaluate teaching more holistically. Other common strategies for teachingevaluation include peer observation (by fellow faculty members), external review (often byexperienced teaching and learning professionals), and self-evaluation. In each case, modernapproaches center on evidence-based evaluation practices [3], and several examples arediscussed herein.The
potential, respectively,from ATHENA. The current paper describes the implementation of the DACE process for the Summer2024 project, some findings, and the lesson plans developed by Zagozda to share more broadly to theASEE Community. MethodsAs described in Thomason et al.2, the DACE process provides an approach that middle/high schoolteachers can follow and translate to their classrooms. As a brief summary, DACE consists of thefollowing steps: 1. Calibration of the computer model(s) for the application of interest. 2. Design experiments to organize a set of computer model input parameter settings. 3. Execution of the computer model(s) to generate performance metric outputs. 4
#2300433 Design Challenge: Airborne Transport ANALYZING NATURAL INSPIRATIONS (SAMPLE ANSWERS) DESIGN CHALLENGE CONSTRAINTS MATERIALS: TOOLS: TIME: Construction paper, cardboard, Hole punchers, 30 minutes to tissue paper, tracing paper, paper scissors, hot glue build, test, and clips, craft sticks, pipe cleaners, guns, glue sticks, iterate florist wire, tape, balloons, rubber ruler, tape measurebands, foil, paper cups, thumb tack Share your prototypesSHARE-OUT Compare prototype(s) to the original inspiration from nature Tell what you learned about their strengths and
without thedominance of societal biases.References[1] T. Camp, W. R. Adrion, B. Bizot, S. Davidson, M. Hall, S. Hambrusch, E. Walker and S. Zweben, “Generation CS: The growth of computer science,” ACM Inroads, vol. 8, no. 2, pp. 44–50, May 2017. [Online]. Available: https://doi:10.1145/3084362. [Accessed Jan 14, 2025].[2] T. G. Zimmerman, D. Johnson, C. Wambsgans and A. Fuentes, “Why latino high school students select computer science as a major,” ACM Trans. Comput. Educ., vol. 11, no. 2, pp. 1–17, Jul. 2011. [Online]. Available: https://doi:10.1145/1993069.1993074. [Accessed Jan 14, 2025].[3] S. R. Roy, “Educating Chinese, Japanese, and Korean international students: Recommendations to American professors
perceptions in these classes fitand align with the instructor's and the SPA’s perceptions. Because the program is ongoing anditerative, we will also refine the training and development of Student Pedagogy Advocates inresponse to these findings.AcknowledgementsThis work was supported by the National Science Foundation under the project CreatingAutonomy-Supportive Learning Environments Using Undergraduate Student PedagogyAdvocates (NSF Award #2236118), conducted at Purdue University. Any opinions, findings,conclusions, or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation.References[1] S. Freeman, S. L. Eddy, M. McDonough, M. K. Smith, N. Okoroafor, H. Jordt
; def testbench():14 reg a, b; wire out; a = reg(); b = reg()15 andgate device (out, a, b); device = andgate(a, b)16 initial begin def monitor():17 $monitor("a=%b, b=%b, out=%b", print("a=%s, b=%s, out=%s" %\18 a, b, out); (a(), b(), device()))19 // step through the inputs # step through the inputs20 #10 a = 0; b = 0; a.set(0); b.set(0); monitor()21 #10 a = 0; b = 1; a.set(0); b.set(1); monitor()22 #10 a = 1; b = 0; a.set(1); b.set(0); monitor
?” and “How can we improvethe session(s) to be more responsive to your needs?” respectively.Preliminary Findings Participant Ratings for Question 1 For the first question in which participants rated about “Designing Powerful Questions to 5 4 fit the situation”, three participants (37.5%) 4 rated “Excellent”, four participants (50%) 3 3 rated “Above Average”, and one participant (12.5%) rated
,” The Journal of rheumatology, vol. 21, no. 3, p. 454—461, 3 1994. [Online]. Available: http://europepmc.org/abstract/MED/8006888[2] T. Audino, A. Pautasso, V. Bellavia, V. Carta, A. Ferrari, F. Verna, C. Grattarola, B. Iulini, M. D. Pintore, M. Bardelli, and et al., “Ticks infesting humans and associated pathogens: A cross-sectional study in a 3-year period (2017–2019) in northwest italy,” Parasites & Vectors, vol. 14, no. 1, 3 2021.[3] Unity Technologies, “Unity real-time development platform — 3d, 2d vr &; ar engine,” [online]. [Online]. Available: https://unity.com/[4] D. S. D¨uzkaya, G. Bozkurt, S. Ulupınar, G. Uysal, S. Uc¸ar, and M. Uysalol, “The effect of a cartoon and an information video about intravenous
University Women (AAUW)San Juan Puerto Rico Branch, for providing a Community Project Grant to purchase materials andfor their overall support and encouragement.References[1] J. Ogbeba and V. O. Ajayi, “Effect of Hands-On Activities on Achievement and Retentionof Senior Secondary Chemistry Students in Stoichiometry,” Journal of the International Centre forScience Humanities and Education Research, Vol 2, No 2. Dec, 2016.[2] M. Hubbard, “Development of a biomedical engineering course for high school studentsusing a framework of student-centered pedagogy,” in ASEE Southeast Section ConferenceProceedings, Arlington, Virginia: ASEE Conferences, Mar. 2023, p. 44999.[3] S. Madihally and E. Maase, “Introducing Biomedical And Biochemical
of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.Reference List[1] M.S. Polya, How to solve it. 2nd ed. Princeton, NJ: Princeton University Press., 1957.[2] N. Shin, D. H. Jonassen, and S. McGee, “Predictors of well-structured and ill-structured problem solving in an astronomy simulation,” J. Res. Sci. Teach., vol. 40, no. 1, pp. 6–33, Jan. 2003.[3] A. Febrian and O. Lawanto, “Do Computer Science Students Understand Their Programming Task? – A Case Study of Solving the Josephus Variant Problem,” Int. Educ. Stud., vol. 11, no. 12, 2018.[4] R. Vivian, K. Falkner, and C. Szabo, “Can everybody learn to code?,” in Proceedings of the 14th Koli Calling International Conference
Teaching,” IEEE Commun. Mag., vol. 57, no. 11, pp. 20–26, Nov. 2019, doi: 10.1109/MCOM.001.1900242.[7] A. Ramirez-Salgado et al., “Board 265: Engaging Students in Exploring Computer Hardware Fundamentals Using FPGA Board Games,” presented at the 2023 ASEE Annual Conference & Exposition, 2023.[8] A. Ramirez-Salgado, T. Hossain, S. Bhunia, and P. Antonenko, “Board 393: Supporting Hardware Engineering Career Choice in First-Year Engineering Students,” presented at the 2024 ASEE Annual Conference & Exposition, 2024.[9] S. Hidi and K. A. Renninger, “The four-phase model of interest development,” Educ. Psychol., vol. 41, no. 2, pp. 111–127, 2006.[10] A. Bandura, Social foundations of thought and action: a social cognitive
, “We must teach more effectively: here are four ways to getstarted,” Molecular Biology of the Cell, vol. 26(12), pp. 2151-2155, 2015.[3] Rossow, M., “Learning statics by studying worked examples,” ASEE National AnnualConference, Salt Lake City, UT, June 24-27, 2018.[4] R. O’Neill, R.C. Geiger, K. Csavina, and C. Orndoff, “Making statics dynamic!” Combininglecture and laboratory into an interdisciplinary, problem-based, active learning environment,”ASEE National Conference, Honolulu, HI, June 24-27, 2007.[5] A.K.T. Howard, “Gamification Design for Engineering Statics,” ASEE National AnnualConference, Virtual, July 26-29, 2021.[6] S. Mehta and S. Danielson, “Teaching statics “dynamically,” Session 1368, ASEE NationalAnnual Conference, Charlotte
advancing engineering education and promoting the widespreadadoption of evidence-based practices.NSF ACKNOWLEDGMENTThis work is supported by the U.S. National Science Foundation through Grant numbers2111052 and 2111087. Any opinions, findings, and conclusions or recommendations expressedin this material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.REFERENCES[1] S. Freeman et al., "Active learning increases student performance in science, engineering,and mathematics," Proc. Natl. Acad. Sci. U.S.A., vol. 111, no. 23, pp. 8410-8415, 2014.[2] M. Prince, "Does active learning work? A review of the research," J. Eng. Educ., vol. 93, no.3, pp. 223-231, 2004.[3] M. Borrego and C. Henderson
doctoral engineering students and their research advisor(s). COR statesthat people seek to gain, retain, and protect their resources, and that they experience stress whentheir resources are threatened or lost [10]. Resources can include physical objects, energy,relationships, and more [10]. We posit that faculty advisors serve as a resource to students and, inturn, influence psychological safety in student research environments, which impacts studentoutcomes such as well-being and research quality.MethodsThe survey was completed by 469 doctoral engineering students across two R1 institutions.Survey methods and preliminary results can be found in [9], [11]. Explanatory interviewparticipants were selected to stratify demographics and offer a broad
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, in CHI ’08. New York, NY, USA: Association for Computing Machinery, Apr. 2008, pp. 423–432. doi: 10.1145/1357054.1357123.[3] L. Buechley and H. Perner-Wilson, “Crafting technology: Reimagining the processes, materials, and cultures of electronics,” ACM Trans. Comput.-Hum. Interact., vol. 19, no. 3, p. 21:1-21:21, Oct. 2012, doi: 10.1145/2362364.2362369.[4] M. A. Kazemitabar, S. P. Lajoie, and T. Li, “A classification of Challenges encountered in Complex Teamwork Settings,” Intern. J. Comput.-Support. Collab. Learn, vol. 17, no. 2, pp. 225–247, Jun. 2022, doi: 10.1007/s11412-022-09370-0.[5] E. S. Ferguson, Engineering and the Mind’s Eye. MIT
are defined as non-technical skills necessary for engineeringpractice [22], such as teamwork, leadership, and communication. Perceptions of mentorship aredefined as an individual’s thoughts and feelings about their experience as part of a mentoringrelationship, which may form between any more experienced individual (mentor) and any lessexperienced individual (mentee).1.1 The GGEE Summer ProgramThe Goldberg Gator Engineering Explorers (GGEE) program, designed in 2021 and firstimplemented in 2022, serves K-12 students from under-resourced school districts at STEMsummer and afterschool programs across the state of Florida at no cost to their parent(s) orguardian(s) [23], [24]. These programs are meant to foster a computational thinking
). Potential issues include the following:Selective Data ReportingResearchers involved in a startup or commercial activity might be tempted to present select dataor manipulate data, either intentionally or subconsciously (Cho et al., 2000). This can involvefocusing on specific datasets that align with the desired outcome for a venture, or altering data orits presentation. In extreme cases, this can lead to falsifying results, undermining scientificintegrity and trust in the individual researcher(s) and their research community.Suppression of Alternative HypothesesWhen the focus of research is closely tied to commercialization outcomes, there can be anunintended suppression of alternative hypotheses that might not support the new venture or itsbusiness
recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation. References[1] J. Meyer and R. Land, “Threshold concepts and troublesome knowledge: Linkages to ways of thinking and practising within the disciplines,” 2003, Accessed: May 05, 2024. [Online]. Available: https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=b98202852dc631ced19a9 8414cbd9e9461c10417[2] S. Male and D. Bennett, “Threshold concepts in undergraduate engineering: Exploring engineering roles and value of learning,” Australasian Journal of Engineering Education, vol. 20, no. 1, pp. 59–69, Jan. 2015, doi: 10.7158/D14-006.2015.20.1.[3] K. A