; ReflectionThe results in this section are drawn from ten UCSD EMPOWER scholar responses to the surveyquestionnaire. Summarized responses are categorized into the corresponding survey sections“Transition to a 4-year University”, “Participating in the Program”, “Future Participation in theProgram”, and “Sense of Belonging”. The full, deidentified responses are found in Appendix A.Survey respondents’ demographic information:Figure 3: a) Identified Gender, b) Identified Race or Ethnicity, and c) Highest EducationalDegree Completed by Parent(s)/Guardian(s) for survey respondentsA. Transition to a 4-year UniversityThe first five questions asked to students are intended to gauge their experience transitioning intoa 4-year university. In general, the
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
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
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
Paper ID #37259Board 435: Work in Progress: Teaching Ethics Using Problem-BasedLearning in a Freshman Introduction to Electrical and ComputerEngineeringDr. Todd Freeborn, The University of Alabama Todd Freeborn, PhD, is an associate professor with the Department of Electrical and Computer Engineer- ing at The University of Alabama. Through NSF funding, he has coordinated REU Sites for engineering students to explore renewable resources and speech pathology. He is also the coordinator for an NSF S-STEM program to prepare students for gateway courses across different disciplines of engineering to support and retain students
as an Exemplary Faculty Member for Excellence in Diversity, Equity, and Inclusion. ©American Society for Engineering Education, 2023 On ACCESS Program Support for Students’ Academic Success in the Cybersecurity FieldAbstractThe goal of the NSF S-STEM funded program “Attracting and Cultivating Cybersecurity Expertsand Scholars through Scholarships” (ACCESS) is to increase the cybersecurity-related degreecompletion of high-achieving undergraduate students with demonstrated financial need and thushelp address the tremendous unmet need for highly skilled cybersecurity experts. The ACCESSprogram has successfully awarded scholarships to three cohorts of students and has achieved itsgoal
. Sheridan, “Closing the divide: Accelerating technology commercialization by catalyzing the university entrepreneurial ecosystem with I-Corps™,” The Journal of Technology Transfer, vol. 42(6), pp. 1466-1486, 2017.[3] Lagoudas, M. Z., Yoon, S. Y., and Bohem, R. (2019). The Implementation and assessment of an I-Corps site: Lessons learned. Proceedings of the 126th American Society for Engineering Education (ASEE) Annual Conference and Exposition, Tampa, FL, USA.[4] Lagoudas, M. Z., Yoon, S. Y., Bohem, R., and Asbell, S. (2020). Impact of an I-Corps site program on engineering students at a large southwestern university: Year 3. Proceedings of the 127th American Society for Engineering Education (ASEE) Annual Virtual Conference
takeplace online in October or November of 2021. Instructors and students will complete anothersurvey, after instructors attend the workshop, and instructors will again complete a follow-upsurvey in the spring of 2022.AcknowledgementsThis research is supported by the U.S. National Science Foundation (grant numbers DUE-1821092, DUE-1821036, DUE-1821488, and DUE-1821277).Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author(s) and do not necessarily reflect the views of the National Science Foundation.References[1] M. Prince, “Does active learning work? A review of the research,” Journal of Engineering Education, vol. 93, pp. 223-232, July, 2004, doi: 10.1002/j.2168-9830.2004.tb00809.x.[2
75.88353 2.44E-14 X45 205.278 1 205.278 7.433007 0.007398 X46 365.7274 1 365.7274 13.24279 0.00041 X50 966.0268 1 966.0268 34.97931 3.44E-08 X51 273.4833 1 273.4833 9.902684 0.002098 Error 3203.583 116 27.61709References1. Schraw, G., and Dennison, R. S., (1994), “ Assessing Metacognitive Awareness,” Contemporary Educational Psychology 19, pp. 460-475, 1994.2. Cunningham Patrick, Matusovich M. Holly, Hunter N. Deirdre-Annaliese, Williams A. Sarah, and Bhaduri Sreyoshi, 2017. “Beginning to Understand Student Indicators of Metacognition,” American Society for Engineering Education, 2017.3
Community in Introductory Engineering Classrooms”, Proceedings of the Annual Meeting of the American Society of Engineering Education, Columbus, OH. 5 pp.[3] K. L. Tonso. 2014. “Engineering identity,” in Handbook of engineering education research, Cambridge University Press, pp. 267–282.[4] B. W. McNeill, L. Bellamy, and V. A. Burrows. 2000. “Team Norms and Communication,” in Introduction to Engineering Design, 9th ed., McGraw Hill Higher Education, pp. 1–13.[5] S. Gorman. 2014. Peering into the Culture of a Civil Engineering Discipline and Finding the White Rabbit, PhD Dissertation, Northern Arizona University. 285 pp.[6] E. Godfrey. 2007. “Cultures within cultures : Welcoming or unwelcoming for women ?,” ASEE, 19 pp.[7] S. J
, William Worley, Robin Matson, Madison Behringer, Annie Wong, Tori Bonagura, Karan Sahu,and Nick Graca for their contributions to the game development and testing. Finally, the authors would liketo thank the anonymous reviewers for their time and valuable suggestions that contributed to greatlyimproving the overall quality of this paper.References[1] CyberCiege, http://cisr.nps.edu/cyberciege/.[2] Forensic Toolkit (FTK), http://accessdata.com/solutions/digital-forensics/forensic-toolkit-ftk/.[3] Farmer, D., and Venena, W., Forensic Discovery, Addison-Wesley Professional Computing Series, 2004.[4] Gee, J., What Video Games Have to Teach Us About Learning and Literacy, Palgrave Macmillan, NY, 2003. 2.[5] Mathrani, A., Christian, S., and
, pp.305-308, Apr. 2013.[5] 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,” Proc. National Academy of Sciences, vol. 111, pp. 8410–8415, June 2014.[6] I. Han and J. B. Black, “Incorporating haptic feedback in simulation for learning physics,” Computers & Education, vol. 57, pp.2281-2290, Dec. 2011.[7] T. Wiesner, and W. Lan, “Comparison of student learning in physical and simulated unit operations experiments,” J. Engineering Education, vol. 93, pp.195-204, July 2004.[8] L. M. Triona and D. Klahr, “Point and click or drag and heft: Comparing the influence of
/ Flip w/ Blended Flip Quade’s Effect Blended Flip Adaptive Adaptive Test Size Dem Average Percentage (Adjusted) p d* Sample Size Group (s) All 63.0 65.1 63.5 0.949 0.13 126 88 83 (16.1) (16.1) (16.1) Female 65.5 60.5 61.2 0.513 -0.29 20
., Snyder, “Manufacturing Career Pathways”, Society of Manufacturing Engineers, pp. 101-103, 2010. 7. Craft, E.L., Chrislip, D.K., Parr, R.A., Sauber, V.A., “Aligning Workforce Skills with Industry Needs Through Problem Based Learning Environments”, ASEE, pp. 26.168.1- 26.168.12, 2015. 8. Alaraje, N., Sergeyev, A., Matar, B.H., “Digital Technical Education Collaborative: Report on NSF-ATE Project on Reconfigurable Electronics Workforce Development”, Proceedings of the ASEE National Conference. 2017. 9. Sala, A.L., “Expanding Photonics Education in the International Year of Light”, Proceedings of the ASEE National Conference, pp. 26.714.1 – 26.714.7, 2015. 10. McCormack, S.L., Zieman, S., “Technological
NCSES.11. U.S. Census Bureau. 2015. 2014 American Community Survey. Accessed from StevenRuggles, Katie Genadek, Ronald Goeken, Josiah Grover, and Matthew Sobek. Integrated PublicUse Microdata Series: Version 6.0 [Machine-readable database]. Minneapolis: University ofMinnesota, 2015.12. Tauriac, J. and Liem, J. “Exploring the divergent academic outcomes of U.S.-origin andimmigrant-origin Black undergraduates” J Divers High Educ. 2012 Dec; 5(4):10.1037/a0030181.13. Foner, N. (2001) “Comparative Perspectives on Immigrants in New York -- Across Time andSpace” dev.wcfia.harvard.edu/sites/default/files/NFoner_comparative.PDF14. Hughes, E. C. (1945). Dilemmas and contradictions of status. American Journal ofSociology, 50(5), 353-359.15. Massey, D. S
programs. Differentexperiences, values, beliefs, and attitudes that are a result of the intersection of multipledimensions of identity are allowed to naturally separate themselves. Furthermore, using thisprofile analysis allowed for new patterns to emerge that would have been previouslyoverlooked. For example, if two groups of respondents were distinct from each other in theattitudinal map but were similar along all measured axes of diversity (e.g., gender andrace/ethnicity), it is a signal that the separation between the groups is the result of anintersection with some unconsidered dimension(s) of attitudes or personal characteristics.Because TDA does not presuppose the qualitative or demographic information about thestudents it analyzes, the
. Psychology of Aesthetics, Creativity, and the Arts, 10(4), 481-491.[8] Clapp, E. P., Ross, J., Ryan, J. O., Tishman, S. (2016). Maker-centered learning: Empowering young people to shape their worlds. John Wiley & Sons.[9] Cross, N. (2007). Designerly Ways of Knowing, Birkhauser, Basel, Switzerland.[10] Cross, N. (2007). Creative thinking in design: an introduction. In ’07 Proceedings of the 2007 Symposium on Science of Design (pp. 2-3). Arcata, California: ACM.[11] Cross, D. (2011). Design thinking. New York: Berg.[12] Draw How To Make Toast (2019). Retrieved January 4, 2019, https://www.drawtoast.com/[13] Fraser, K., Fraser, L., Lum, B., & Fraser, M. (2009). The 175 Best Camp Games.[14] Fu, K., Moreno, D., Yang, M., & Wood, K. L
initialyear. First, all agreed that program participation was a beneficial and positive experience and thatthe relationship developed with the City of Elkhart was an important part of the learningexperience. The cohort also agreed that including students in Elkhart Catalyst that came from thefocus neighborhood(s) was important to the success of the data project as well as to the learningoutcomes. Nonetheless, the degree of academic diversity, at least in a small cohort, was both achallenge and an attribute. An additional challenge was that interns had some frustration with thelack of tangible projects in the community in the first year.Although any particular improvements suggested were not necessarily mentioned by everyone inthe cohort, there were a
the general instructional objectives of thefreshman course.The project was titled “Introduction to Big Data Analytics: Analyzing Tweets with Matlab”. Theinstructor provided the students with a Matlab code that was designed to facilitate applyingSentiment Analysis to tweets. For example, the code can be used to (1) identify tweets thatcontain one or more specific keywords and (2) create a histogram of words used in these tweets,in order to identify recurring themes in tweets that mention the keyword(s). The final deliverablefor the project was a report in which students detailed how they used the Matlab code to answer anumber of open-ended questions, as well as an introductory section in which students discussedthe importance and applications
DUE1347817. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References1. Koretsky, M., Bouwma-Gearhart, J., Brown, S. A., Dick, T., Brubaker-Cole, S. J., Sitomer, A., Quardokus Fisher, K., Risien, J., Little, D. L., Smith, C., & Ivanovitch, J. D. (2015, June). Enhancing STEM Education at Oregon State University – Year 1 Paper presented at 2015 ASEE Annual Conference and Exposition, Seattle, Washington. 10.18260/p.240022. Henderson, C., Beach, A., & Finkelstein, N. (2011). Facilitating change in undergraduate STEM instructional practices: An analytic review of the literature. Journal of
be an open-source web-based tool that will guide individual or collaborating STEMeducators, step-by-step, through an outcome-based education process as they define learningobjectives, select content to be covered, develop an instruction and assessment plan, and definethe learning environment and context for their course(s). It will contain a repository of currentbest pedagogical and assessment practices, and based on selections the user makes when definingthe learning objectives of the course, IMODS will determine and present options for assessmentand instruction that align with the type/level of student learning desired. To this end, the projectaddresses the following two research goals: 1. Develop the instructional module development
Teacher Education 48 (1).25. McNeil, J.D. (1990). “Curriculum: A comprehensive introduction.” Boston: Little, Brown and Co.26. Shulman, L. S. (1986). “Those who understand: Knowledge growth in teaching.” Educational researcher, 15(2), 4-14.27. Wiggins, G. P., & McTighe, J. (2005). “Understanding by design.” Association for Supervision & Curriculum Development.28. National Research Council. (2011). “Promising Practices in Undergraduate Science, Technology, Engineering, Page 26.664.11 and Mathematics Education: Summary of Two Workshops.” Washington, DC: The National Academies Press.29. Freeman, S., Eddy, S. L
prevents students from being able to integrate and extend the knowledge developed in specific courses in the core curriculum to the more complex, authentic problems and projects they face as professionals. Dr. Koretsky is one of the founding members of the Center for Lifelong STEM Education Research at OSU.Dr. Susan Bobbitt Nolen, University of Washington Professor of Learning Sciences & Human DevelopmentProf. Simone E Volet, Murdoch University, Perth, Australia Simone Volet is Professor of Educational Psychology at Murdoch University in Perth, Australia. She obtained a Licence e` s Sciences de l’Education at the University of Geneva, and a PhD from Murdoch University. She has been engaged in research on learning
, however.At this time, the students were not certain that their ideas had changed about graduate school.However, all agreed that they had developed new understanding about the ways that research isdone, and how it might influence the practice of engineering.4. Step Two - Summer Research ExperienceStudents were immersed in a 12-week research-intensive summer experience. The students wereprovided workspace within our departmental senior design room, which contains five partitionedworkstations and a large conference table. The bulk of student time was dedicated to pursuinghis/her research proposal, as each student worked on his/her project with their researchadvisor(s). In addition, there were a number of small group activities conducted throughout
. Faculty who have alreadyimplemented the LC-DLMs recently completed a 13 question survey containing Likert-scalequestions focused on factors identified as some of the most common barriers to implementationincluding adaptability, relative advantage, management support, and complexity [11]. Table 1below shows several examples of responses to questions on the faculty survey. Table 1: Examples of questions used on faculty survey, dissemination barrier addressed by question, and faculty response Barrier(s) Question Response (N = 7) Addressed
Year I and II Growth for P5:Before participating in the our CTE course, P5 had some experience in Making through workingwith his uncle on small everyday electronics projects like reassembling smart phones or repairingvarious electronics in their ranch. Owing to P5’s experience in electronics, he felt comfortablewith taking on the role of project manner for the first production cycle for year 2. During the firstyear, P5 was quiet and introverted, yet he demonstrated a significant interests towards thetechnology-centered elements of the production process, often partnering with P4 in theseactivities. While P5 was comfortable in technology oriented roles, when tasked to take onproduction management, he was fully engaged in the role for the
Scholar and an IEEE Fellow. Professor Loui was associate dean of the Graduate College at Illinois from 1996 to 2000. He directed the theory of computing program at the National Science Foundation from 1990 to 1991. He earned the Ph.D. at M.I.T. in 1980.Mrs. Kerri Ann Green, University of Illinois, Urbana-ChampaignDr. David E. Goldberg, ThreeJoy Associates, Inc. and the University of Illinois Dr. David ”Dave” Goldberg is president and founder of ThreeJoy Associates, Inc. and is a consultant, trainer, and coach to students, faculty, and administrators in higher education. Prior to founding ThreeJoy Associates, Dr. Goldberg was the Jerry S. Dobrovolny Distinguished Professor in Entrepreneurial En- gineering at the University
of students skills. Table 3 listsall skill outcomes, while table 4 summarizes the 2-year pre and post survey data on skill growth.In fact, it is more obvious that the greatest growth happened in those skills that were directlyaddressed by the CPBL experience.Table 3. Skill sets evaluated via pre and post surveys in CS470 and EE440. Skill Outcomes in EE440 and CS470 General Skills Specific Skills related to OPNET projectsS-1. General computing skills S-6. Ability to design and implement a network scenario in OPNETS-2. Communication skills S-7. Ability to analyze the network performance using simulationsS-3. Math skills S-8. Ability to
grantat Wright State University. Any opinions, findings, conclusions or recommendations expressedin this material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation or Wright State University.Bibliography1. McKenna, A., McMartin, F. and Agogino, A., 2000, "What Students Say About Learning Physics, Math and Engineering," Proceedings - Frontiers in Education Conference, Vol. 1, T1F-9.2. Sathianathan, D., Tavener, S., Voss, K. Armentrout, S. Yaeger, P. and Marra, R., 1999, "Using Applied Engineering Problems in Calculus Classes to Promote Learning in Context and Teamwork," Proceedings - Frontiers in Education Conference, Vol. 2, 12d5-14.3. Barrow, D.L. and Fulling, S.A., 1998, "Using
ENGR 3014—Circuit Analysis students. Afterexploring various assessment instruments, the project also found that assessment of studentlaboratory learning can be tricky: assessment results from collected data might not sensitive tothe impact from employed technology interference. After two years of working with thesepersonal, portable tools, the authors are more cautious when attempting to apply similar tools togeneral engineering students, especially to lower level courses. However, the authors still firmlybelieve that the transformation of engineering laboratory learning will play an important role inorder to meet challenges identified in [10].References:1. Yao, J., L. Limberis, and S. Warren. Using Portable Electronics Experiment Kits