), appropriate given Likert-type data that may notbe normally distributed.The average student ratings for the four primary survey factors are summarized in Table 3.Students had the strongest agreement with factor #4, related to their confidence in different skillsand abilities (6.27 ~ agree). Responses to this factor did differ among students with differentresponses to the computing attitude question (see Table 4 below; sig. 0.024 in KW test), wherestudents who wish there were more courses offered on CS and data analysis rated their abilitylower.Table 3. Average student survey responses across the multiple items in each construct on a 7-point scale (1 strongly disagree to 7 strongly agree) Survey Factor Example survey item(s
doreflect on standards-based grading and incorporate their reflections into the next iteration of theassignment. More specifically, 11 were aware of the course learning objectives based on coursestandards. Most students reviewed the standards-based grading rubric while completing thedeliverables for both Module 1 (12) and Module 2 (13). Twelve students reviewed the standardsafter receiving instructional team feedback and grade and twelve students used their performanceon Module 1’s deliverables to guide Module 2’s submission.We uncovered a disconnect between SBG reflections and students’ perceived utility with exampreparation. Fifty-seven percent used the standards to study for the final and 54% said that thestandards rubric guided their study
, problem-based learning, and collaborative learning.Mohamed A. S. Zaghloul Mohamed A. S. Zaghloul was born in Cairo, Egypt, in 1987. He received his B.E. degree in Electronics and Electrical Communications Engineering in 2009, and his M.Sc. degree in Engineering Physics in 2012, both from the Faculty of Engineering at Cairo University. In 2019, he received a Ph.D. from the Electrical and Computer Engineering department of the University of Pittsburgh, in developing optical fiber sensors for monitoring harsh environments. Since 2019, he has been appointed as an Assistant Professor in the same department of the same school. Zaghloul is a recipient of multiple research and teaching awards; he currently holds the John C
, doi: 10.5942/jawwa.2016.108.0099.[7] E. Bingham and G. E. Gibson, “Infrastructure Project Scope Definition Using Project Definition Rating Index,” J. Manag. Eng., vol. 33, no. 2, p. 04016037, 2017, doi: 10.1061/(asce)me.1943-5479.0000483.[8] J. Sindhu, K. Choi, S. Lavy, Z. K. Rybkowski, B. F. Bigelow, and W. Li, “Effects of Front-End Planning under Fast-Tracked Project Delivery Systems for Industrial Projects,” Int. J. Constr. Educ. Res., vol. 14, no. 3, pp. 163–178, 2017, doi: 10.1080/15578771.2017.1280100.[9] M. Elzomor, V. Ferrer, P. Pradhananga, and R. Rahat, “Assessing the Pedagogical Needs to Couple Front-end Planning Tools with Sustainable Infrastructure Projects,” 2021, doi: 10.18260
Paper ID #37007Curricular and Strategic Changes in mathematics to EnhanceInstitutional STEM EducationSandie Han Sandie Han is a Professor of Mathematics at New York City College of Technology, the City University of New York. She has extensive experience in program design and administration, including serving as the mathematics department chair for six years, PI on the U.S. Department of Education MSEIP grant and Co-PI on the NSF S-STEM grant. Her research area is number theory and mathematics education. Her work on Self-Regulated Learning and Mathematics Self-Efficacy won the CUNY Chancellor’s Award for
not write large chunks of code without running that codealong the way. If all a student's runs obey the rule (addedLOC <= 20), then IncDev = 1, but ifany run violates the rule, IncDev = 0.The rule is weak in being all or nothing: either IncDev = 1, or = 0. Instead, preferably the rulewould yield values between 0 and 1, representing the egregiousness of the rule violation(s).For example, a student who has just one violation with addedLOC = 21 should not be penalizedas heavily as a student with one violation with addecLOC = 50. Thus, we want the penalty to beproportional to the size of the addecLOC violation.Likewise, a student who has just one addedLOC = 30 should not be penalized as heavily as astudent who has three addedLOCs of 30 (a
Award Number EEC-1849430. Any opinions, findings andconclusions, or recommendations expressed in this material are those of the author(s), and do notnecessarily reflect those of the NSF. The authors acknowledge the support of the entire e4usaproject team.References[1] National Research Council [NRC]. (2009). Engineering in K–12 education: Understanding the status and improving the prospects, National Academies Press.[2] Miaoulis, I. (2014). K–12 Engineering: The Missing Core Discipline. Engineering in Pre-College Settings: Synthesizing Research, Policy, and Practices, 21-34. https://doi.org/10.2307/j.ctt6wq7bh.6[3] Aikenhead, G. S., & Jegede, O. J. (1999). Cross-cultural science education: A cognitive explanation of a cultural
an AISC award which provided the winning studentan opportunity to list an industry award on their resume. A similar assignment can be used forany STEM course.The majority of students recommended the assignment be used again next year, showing thatengineering and writing are perfect together!References[1] K. Levine, S. Allard, and C. Tenopir, “The Changing Communication Patterns of Engineers,” School of Information Sciences – Faculty Publications and Other Works, 2011. [Online]. Available: https://trace.tennessee.edu/utk_infosciepubs/84 [Accessed Jan. 16, 2022].[2] A. Peck, J. E. Nydahl, and C. K. Keeney, “Effective Strategies to Motivate Engineering Students to Develop Their Technical Writing Skills,” American Society for Engineering
MedicalBranch/ Western Gulf Center for Excellence in Vector-Borne Diseases. Moreover, this work wassupported by Dr. B. Hur’s Texas A&M research fund and resources.References[1] T. G. Floore, “Mosquito larval control practices: past and present." Journal of the American Mosquito ControlAssociation,” vol. 22, no. 3, pp. 527-533, 2006.[2] L. Zou, S. N. Miller, and E. T. Schmidtmann, “Mosquito larval habitat mapping using remote sensing and GIS:implications of coalbed methane development and West Nile virus,” Journal of medical entomology, vol. 43, no. 5,pp. 1034-1041, 2006.[3] B. Hur, K. Myles, Z. N. Adelman, M. Erraguntla, M. A. Lawley, E. J. Kim, J. L. Burgi, K. Price, K. Fritz, D. H.Stalcup, Z. Pan, Z. Stokes, B. W. Harris, F. Aguado, C. B. Wheat
/download/447/297.[3] O. B. Adedoyin and E. Soykan, “Covid-19 pandemic and online learning: the challenges and opportunities,” Interact. Learn. Environ., pp. 1–13, 2020, doi:10.1080/10494820.2020.1813180.[4] C. B. Hodges, S. Moore, B. B. Lockee, T. Trust, and M. A. Bond, “The difference between emergency remote teaching and online learning,” 2020, http://hdl.handle.net/10919/104648[5] A. Bozkurt et al., “A global outlook to the interruption of education due to Covid-19 pandemic: Navigating in a time of uncertainty and crisis,” Asian J. Distance Educ., vol. 15, no. 1, pp. 1–126, 2020, http://asianjde.com/ojs/index.php/AsianJDE/article/download/447/2.[6] J. Whalen, “Should teachers be trained in emergency remote teaching? Lessons
student(s)receives a stipend of $1,000.The SURE Program strives to improve student skills integral to performing research. Studentsand their research mentors are expected to work together for eight hours per week for one-on-oneinstruction and research skill development. Each discipline required specific skills be developed,and the skills developed evolved over the course of the summer. In general students wereinitially taught how to perform several experiments. Once the students could collect data, thementors assisted the students in evaluating their data. By the end of the summer mentorsstrengthened student capabilities in finding/assessing relevant literature related to their work. Aweekly group meeting served as a structured event that
: achievements of the ELLI project at the TU Dortmund University." Procedia manufacturing 26 (2018): 1349-1360.16. S. Das, D. K. Kleinke, and D. Pistrui, "Reimagining engineering education: does industry 4.0 need education 4.0?." 2020 ASEE Virtual Annual Conference Content Access. 2020.17. C. Terkowsky and T. Haertel. "Fostering the creative attitude with remote lab learning environments–an essay on the spirit of research in engineering education." Engineering Education 4.0. Springer, Cham, 2016. 197-212.18. K. Schuster, K. Groß, R. Vossen, A. Richert, and S. Jeschke. "Preparing for industry 4.0– collaborative virtual learning environments in engineering education." In Engineering Education 4.0, pp. 477-487. Springer
trend studieshow immersive technologies enhance user performance through, for example, learning andteaching effectiveness, task performance, and pain management. The authors identified the flowtheory as the most popular theoretical foundation employed in existing immersive technologystudies. Other theoretical perspectives used were situated cognition theory, media richnesstheory, the Stimulus–Organism–Response (S-O-R) model, and the technology acceptance model.The experimental method and the survey method were the most implemented research methods.Suh and Prophet [10] provided a four-component (stimuli, organism, response, and individualdifferences) classification framework for immersive technology use. The authors conclude thatmore empirical
responses for “Did your team rotate team roles?” (Q8),revealed an inaccuracy in either the team size or role rotation for at least two participants. Eitherthey made mistakes in reporting answers or participants from the same team differed in theirdefinition of role rotation. The ambiguity in defining role rotation is more likely whenconsidering their statements on what led them to assume the role(s) they have had. For example,the following quotes are from (a) a participant who reported that their team rotated roles, and (b)a participant that reported their team did not rotate roles. a) “The way our team currently works is we all contribute wherever needed a sort of hands all hands on deck type approach during this type of approach or I am
STEM Education Landscape, Washington, DC: The National Academies Press, 2012, pp. 23–28.[10] R. M. Ryan and E. L. Deci, “Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being.,” Am. Psychol., vol. 55, no. 1, p. 68, 2000.[11] B. D. Jones, “Motivating Students to Engage in Learning: The MUSIC Model of Academic Motivation.,” Int. J. Teach. Learn. High. Educ., vol. 21, no. 2, pp. 272–285, 2009.[12] P. M. King and K. S. Kitchener, Developing reflective judgment: understanding and promoting intellectual growth and critical thinking in adolescents and adults. San Francisco: Jossey-Bass Publishers, 1994.[13] D. A. Schön, Educating the Reflective Practitioner
Paper ID #36783Analysis of STEM Students Accumulating CalculusKnowledge to Graph a FunctionEmre Tokgoz (Associate Professor)Samantha Scarpinella Pennsylvania State University Industrial Engineering PhD Student © American Society for Engineering Education, 2022 Powered by www.slayte.comAnalysis of STEM Students Accumulating Calculus Knowledge to Graph aFunction1 Emre Tokgöz, 1Elif. N. Tekalp, 1Berrak S. Tekalp, 2Hasan A. Tekalp, 3Samantha Scarpinella,3 Michael Giannone1 Emre.Tokgoz@qu.edu, 1Elif.Tekalp@qu.edu, 1Berrak.Tekalp@qu.edu, 2Hasan.Tekalp@qu.edu3 ses6506@psu.edu
the creation of the single-document labs and thecollection of survey data for this work.References [1] S. Wentworth, D. Silage, and M. Baginski, “Individualized Matlab projects in undergraduate electromagnetics,” in 2010 Annual Conference & Exposition, no. 10.18260/1-2–15655. Louisville, Kentucky: ASEE Conferences, June 2010, https://peer.asee.org/15655. [2] R. Hensel and Y. Sun, “Application of object scaffolding to develop a hands on, problem centered, and project based freshman Matlab® course,” in 2006 Annual Conference & Exposition, no. 10.18260/1-2–1307. Chicago, Illinois: ASEE Conferences, June 2006, https://peer.asee.org/1307. [3] R. J. Sassenfeld and J. R. Tapia, “Teaching a college-wide introductory
Paper ID #36784STEM Students’ Technology Choice Differences for Solving aGraphing Question - Two Different Institution Students’Preferences for Solving a Graphing QuestionEmre Tokgoz (Associate Professor)Samantha Scarpinella Pennsylvania State University Industrial Engineering PhD Student © American Society for Engineering Education, 2022 Powered by www.slayte.comSTEM Students’ Technology Choice Differences for Solving a GraphingQuestion - Two Different Institution Students’ Preferences for Solving aGraphing Question1 Emre Tokgöz, 1Elif. N. Tekalp, 1Berrak S. Tekalp, 2Hasan A. Tekalp
strongly that checking for assignments and exams on platforms for academic assistance would mitigate cheating, potentially indicating a discrepancy in how often these tools are relied upon.Based on this piloting effort on addressing academic dishonesty in the university, differencesbetween undergraduate students and faculty are identified. The next phase will be to develop aninnovative method and application to reduce the gap between students and faculty in academicdishonesty.References[1] A. Amigud and T. Lancaster, “I will pay someone to do my assignment: an analysis of marketdemand for contract cheating services on twitter,” Assessment & Evaluation in higher education,vol. 45, no. 4, pp. 541–553, 2020.[2] S. B. Bayaa Martin
Paper ID #36862CubeSat Design Competition to Foster K-12 STEMParticipation in MaineScott Joseph Eaton (Assistant Professor)Warren H Ziegler (Space Technologist)Daniel FransiscusTyler D Werner © American Society for Engineering Education, 2022 Powered by www.slayte.com CubeSat Design Competition to Foster K-12 STEM Participation in Maine Scott J. Eatona,*, Asheesh R. Lanbaa, Jeremy S. Quallsb, Warren H. Zieglera, Tyler D. Wernera, Caleb Baileyc,d, Hung Nguyena and Daniel Fransiscusa,d a Department of Engineering, University
mentorship through research or intern experiences. Inaddition, while the engineering faculty teaching these courses may have developed effectivetechnical communication skills through practice, they have typically not undergone pedagogicaltraining in technical communication or technical writing. Recognizing the institution’s need given the lack of an official WAC program, inAY2020 the Writing Center Director initially launched an “Integrating Writing into STEM”faculty grant program. The program was based off the model described by S. Wilhout, “WACwithout a WAC Program, (p. 79 in Sustainable WAC)”[8]. Knowing that students needmeaningful writing experiences integrated into their college curriculums and that faculty do notalways intentionally
domain by sharing ourexperiences. Through this autoethnographic approach, we were able to share our livedexperiences while systematically analyzing them.To examine our experiences, we collectively developed a set of reflection questions, listedbelow. We then each answered them independently about our work in our specific informallearning context. We each reflected on the following prompts: • Describe the setting in which you have conducted research and assessments in informal STEM settings. • What questions were you investigating, and what methods were used? • What population(s) were you focused on? • How did you recruit participants? What went well? What were the challenges? • How did you collect data? What went well? What
student in the Learning Design + Technology program at NC State University. Her research interests include communities of practice, professional development for students, and makerspace instructional design. ©American Society for Engineering Education, 2023 WIP: Staff Communities of Practice for Makerspace Professional DevelopmentIntroduction The “Be A Maker” (BeAM) Makerspace at the University of North Carolina at ChapelHill exemplifies an inclusive makerspace, where users are welcome to design, prototype, andcollaborate with others regardless of skill level, personal interests, academic major(s), and/orphysical abilities. The space employs 50-60
learn from recommendations of early-career engineers? Assessing computing and software engineering education using a career monitoring survey,” in The United Kingdom and Ireland Computing Education Research (UKICER) Conference, Dublin Ireland: ACM, Sep. 2022, pp. 1–7. doi: 10.1145/3555009.3555017.[5] S. Roy, Y. Dong, L. Baber, and B. Ahn, “Classroom to Workplace: Knowledge and Skills Learned by Recently Hired Aerospace Engineers,” Journal of Aerospace Information Systems, vol. 19, no. 4, pp. 317–329, Apr. 2022, doi: 10.2514/1.I011043.[6] G. F. Halow, M. E. Herrington, M. Spare, S. O’Donnell, and G. Morris, “Redefining Student Preparation for Engineering Leadership Using Model-Based Systems Engineering in an Undergraduate
current system and assess improvement opportunities. • Evaluate the flow of parts in the system and devise a solution(s) to improve the performance of the system. • Devise an inventory policy that minimizes the total annual inventory cost of raw material.3.2 Relevant Coursework within Industrial Engineering CurriculumThe interactive nonlinear storytelling and simulation-based learning game module wasimplemented in the second Operations Research course within the Industrial Engineering B.S.curriculum at Pennsylvania State University, The Behrend College. This course covers the topicsof Poisson processes, Markov chains, queueing theory, inventory theory, and dynamicprogramming and is a required senior-level course for students
/ SEP760 course. We have reimagined a student learning experience and would like to get your honest opinions. FACILITATORS PRESENT THE PROTOTYPE(S) AND OBSERVE INITIAL RESPONSE/REACTION. • Is there anything that surprises you? If yes, what? • Is there anything you expected to find that is not there? • What is unnecessary if anything? • If you had a magic wand, what would you change about this experience?Reflect, Iterate, and ImplementThe researchers had an opportunity to reflect individually and debrief as a group following eachfocus group interview and discussed what was learned. The following questions helped guideresearchers’ reflections on understanding learning from the student perspective: • What did I learn
Foundation (NSF) HSIImproving Undergraduate STEM Education (IUSE) Strengthening Student Motivation andResilience through Research and Advising (S-SMART) program on a collaborative effort with twolocal community colleges, Cañada College and Skyline College, to enhance the quality ofengineering education and increase the recruitment, retention, and graduation of URM engineeringstudents. The goal of this project is to enhance undergraduate engineering education and buildcapacity in the School of Engineering at SFSU, by: (1) increasing retention and graduation ratesof URM students, particularly, Hispanic students by 30%; (2) shortening time to graduation; (3)enhancing career development opportunities and resources for students; (4) improving
examining differenceswithin each department, to identify differences in course characteristics or topics that haveunbalanced student enrollment.References[1] T. Ross, G. Kena, A. Rathbun, A. KewalRamani, J. Zhang, P. Kristapovich, and E. Manning.“Higher Education: Gaps in Access and Persistence Study (NCES 2012-046)”. U.S. Departmentof Education, National Center for Education Statistics. Washington, DC: Government PrintingOffice, 2012.[2] R. Fry, Kennedy, B. and C. Funk, “STEM jobs see uneven progress in increasing gender,racial and ethnic diversity”. Pew Research Center, 2021, pp.1-28.[3] S. James, S. Singer. “From the NSF: The National Science Foundation's Investments inBroadening Participation in Science, Technology, Engineering, and Mathematics
-294.[2]. Howard, T. J., Culley, S. J., & Dekoninck, E. (2008). Describing the creative design processby the integration of engineering design and cognitive psychology literature. Design studies, 29(2),160-180.[3]. Purzer, Ş., Quintana‐Cifuentes, J., & Menekse, M. (2022). The honeycomb of engineeringframework: Philosophy of engineering guiding precollege engineering education. Journal ofEngineering Education, 111(1), 19-39.[4]. Shafique, I., & Kalyar, M. N. (2018). Linking transformational leadership, absorptive capacity,and corporate entrepreneurship. Administrative Sciences, 8(2), 9.[5]. Basadur, M., G.B. Graen, and S.G. Green, Training in creative problem solving: Effects onideation and problem finding and solving in an
biomedical sciences faculties: cross sectional analysis of international sample of universities,” BMJ, vol. 369, p. m2081, Jun. 2020, doi: 10.1136/bmj.m2081.[4] N. A. Bonn and W. Pinxten, “Advancing science or advancing careers? Researchers’ opinions on success indicators,” PLOS ONE, vol. 16, no. 2, p. e0243664, Feb. 2021, doi: 10.1371/journal.pone.0243664.[5] S. W. Davies et al., “Promoting inclusive metrics of success and impact to dismantle a discriminatory reward system in science,” PLOS Biology, vol. 19, no. 6, p. e3001282, Jun. 2021, doi: 10.1371/journal.pbio.3001282.[6] B. Mitchneck, J. L. Smith, and M. Latimer, “A recipe for change: Creating a more inclusive academy,” Science, vol. 352, no. 6282, pp. 148–149, Apr