weeks), that met once a week for 2hours and 45 minutes. I. Course Objectives: In particular, having successfully completed the course, students will be able to: a) Create organized and theoretically effective syllabi b) Articulate correspondences and differences between education theory and education practice c) Perform peer reviews of other instructors and constructively discuss their performance d) Productively reflect on teaching practices to improve student learning and class environment e) Draw on classroom experiences to develop useful formative assessments f) Develop a teaching portfolio that articulates and illustrates the student´s teaching philosophy II. Syllabus: Following are the
been entered in the required cells, students enter thereference values of the sound velocity in water in the designated cells. Percentage errors willautomatically be calculated for values of sound velocity in water obtained by the studentsexperimentally. Through Transmission: Two Transducers Frequency Ref. Velocity Velocity m/s % Error Velocity m/s % Error Velocity m/s % Error Average Average in MHz m/sec 50 mm 50 mm 100 mm 100 mm 150 mm 150 mm Velocity m/sec % Error 2.25 3.5 5 Averages Figure 9. Spreadsheet for calculations of errors of the experimental data. 5. SummaryThe Excel macros as an assisting tool for
1,11,20 10 7,16,25 11 6,15,24,28,29 Table I DIRECT question number(s) corresponding to the relevant learning objective.Implementation & Results of AssessmentBeginning with the winter 2004 term and continuing through the fall 2013 term, we administeredthe DIRECT assessment to all of the second semester general physics laboratory students,(N=738) at the end of the semester. This group of students includes 284 students taking thecalculus-based physics sequence and 454 students taking the algebra-based sequence. Forpurposes of comparison, the sample size in the original publication of the DIRECT
quest. We also hope to use the work reported hereas a proof-of-concept for campus IT decision-makers, convincing them of the need for a campus-based wiki server that is under local control, has more administrative options for opening/closingediting groups, communicates our campus brand, and is without any embedded advertising.Despite these changes we are committed to keeping contents of the wiki publicly available asthis has proven to be a valuable tool for networking in the design for manufacturing community.References1. ASEE, “Transforming Undergraduate Education in Engineering, Phase I: Synthesizing and Integrating Industry Perspectives”, Workshop Report, May 2013.2. Odom, E., Beyerlein, S., Porter, C., Gomez, A., Gallup L., “Internet
effects of climate change on public health in my research agenda. My research also involve data mining.Dr. Ali Sanati-Mehrizy Dr. Ali Sanati-Mehrizy is a Pediatric resident physician at Rutgers University - New Jersey Medical School in Newark, NJ. He is a graduate of the Milton S. Hershey Pennsylvania State University College of Medicine. He completed his undergraduate studies in Biology from the University of Utah. His research interests are varied and involve pediatric hematology and oncology as well as higher education curricula, both with universities and medical schools.Mr. Paymon Sanati-Mehrizy, Icahn School of Medicine at Mount Sinai Paymon is currently a medical student at the Icahn School of Medicine at Mount
engineering, their teamworkand presentation skills, the modules taught, the camp schedule, and suggestions forimprovement. The possible answers to both survey questions were Strongly Agree, Agree,Neutral, Disagree, and Strongly Disagree.The pre-camp survey questions were as follows:1) I plan to go to college when I finish high school.2) I am interested in a specific college(s).3) I have a specific career goal(s).4) I am interested in a career in engineering/4-year program.5) I am interested in a career in technology/2-year program.The figure below shows students responses to the pre-camp survey. The responses illustrate thatthis was a very focused group of students, with a large majority planning to enroll in college(96%) and having very clear goals
textbook. Often staticsinstructors will intentionally encourage their students to refer to it for additional assistance.Some instructors have chosen to replace the course textbook outright with OLI’s interactivestatics content. One well executed approach by S. A. Sorby and C. R. Vilmann at MichiganTechnological University3, fully replaced the lectures with OLI resources and a weekly, one-hourquestion and answer classroom session. Papadopoulos and Roman4 have explored its potentialuse with bilingual students. OLI has proven to be a versatile learning resource for developingstatics instruction.After concluding that OLI incorporated excellent learning research and interactive features, weselected its Engineering Statics course for use within the
. (2010). Why so few? Women in science, technology, engineering, and mathematics. AAUW. Washington, D.C. 3. Eccles, J. S. (2007). Where Are All the Women? Gender Differences in Participation in Physical Science and Engineering. In S. J. Ceci, W. M. Williams (Eds.) , Why aren't more women in science?: Top researchers debate the evidence (pp. 199-210). American Psychological Association. 4. Reichert, M., & Absher, M. (1997). Taking another look at educating African American engineers: The importance of undergraduate retention. Journal of Engineering Education, 86(3), 241–253. 5. Murphy, T., Gaughan, M., Hume, R., & Gordon Moore Jr., S. (2010). College graduation rates for minority students in a
sequence diagrams.The tool is available to instructors at other institutions via the web. Eventually, it should bepossible for other instructors to set up assignments using the website, but currently assignmentsmust be sent to us by email. Contact the first author at http://member.acm.org/∼hasker for helpin setting up an assignment.References [1] A. Abran, J. W. Moore, P. Bourque, and R. Dupuis, editors. Guide to the Software Engineering Body of Knowledge. IEEE Computer Society, 2004. Page 24.1157.10 [2] M. Auer, T. Tschurtschenthaler, and S. Biffl. A flyweight UML modelling tool for software development in heterogeneous
Page 24.1182.5This material is based upon work supported by the National Science Foundation under grantnumber EEC-1024628.References1. Guglielmino, L. M., Development of the self-directed learning readiness scale, Doctoral dissertation, University of Georgia, Dissertation Abstracts International, Vol. 38, No. 6467A, 1978.2. Hoban J. D., Lawson S. R., Mazmanian P. E., Best A. M., and Seibel H. R., “The Self-Directed Learning Readiness Scale: a factor analysis study,” Med Educ, Vol. 39, No. 4, pp. 370–379, 2005.3. J. Barsch, Barsch Learning Style Inventory, New York: Academic Therapy Publications, 1996.4. R. M. Felder and L. K. Silverman, "Learning and teaching styles in engineering education," Engr. Education, Vol. 78, No. 7
programtargeting the improvement of undergraduate engineering education. Faculty proposed large-scalerenovations of a specific undergraduate course or closely-related group of courses, with the goalof improving student engagement, learning outcomes, and faculty teaching experiences.Alternatively, faculty could propose to develop teaching technologies that would facilitate theimplementation of evidence-based teaching practices. Priority in funding was given to projectsthat would impact large numbers of students or provide critical interventions early in students’learning careers.“Live deep, not fast,” is an admonition coined in the early 1900’s by literature professor, critic,and editor Henry Seidel Canby 1. Faculty participating in SIIP were invited to
indicate.6. References[Dav] Davidson, C., Hendrickson, C., Matthews, S., Bridges, M., Allen, D., Murphy, C.,Allenby, B., Chen, Y., Williams, E., Crittenden, J. and Austin, S., "The Center for SustainableEngineering: Workshops and the Electronic Library", Proceedings of the 2009 ASEE AnnualConference & Exposition, paper AC2009-524.[Del] Delfino, J., "Industrial Ecology and Sustainability: Deciphering Corporate EnvironmentalPolicies", Proceedings of the 2009 ASEE Annual Conference & Exposition, paper AC2009-2438.[Des] Desai, A. and Thomassian, J-C., "Curriculum Development on a "Sustainability" MajorUsing Quality Function Deployment (QFD) Techniques", Proceedings of the 2009 ASEE AnnualConference & Exposition, paper AC2009-2103.[Gau
THE GAUNTLET ScoringClimb Ramp • There are 4 “lines” – each line you pass in a positive vertical direction is 5 points. If you pass one line more than once, no additional points are givenIdentify Ball • If your robot can identify one blue ball to pass through 10 points. If your robot can identify 2 consecutive blue balls to pass through 20 points.Navigate Maze • If your robot successfully navigates the maze – 20 pointsStop at Edge • The style in which you robot stops at the edge is between 0-20 points. • If your robot falls over the edge – s=0; if your robot stops “short” or has an appendage over the edge – s=0.5; if your robot stops
experience (Doctoral dissertation, Drexel University).3. Minocha, S., & Sharp, H. (2004). Learner-Centered and Evaluation of Web-Based E-Learning Environments. The 7th HCI Educators Workshop: Effective Teaching and Training in HCI. Preston, United Kingdom.4. Ssemugabi, S., de Villiers, M.R. (2010). Effectiveness of heuristic evaluation in usability evaluation of e- learning applications in higher education. South African Computer Journal, 45, 26-39.5. Cook, D.A., & Dupras, D.M. (2004). A practical guide to developing effective web-based learning. JGIM, 19, 698-707.6. Hoyle, S., Bruton, K., Peres, S.C., & Gutierrez, T. (2012). Usability of an Interactive Educational Website for Statistics. Proceddings of the Human Factors and
particularly those deemed at-risk.Research QuestionsThis study consisted of two overarching research questions related to learner preferences in apost-secondary classroom. The primary research question was: What are the learningpreferences for college students taking a fundamental engineering design graphics courses? As afollow-up question to the primary question the investigators explored: Do students taking acollege engineering design course and categorized as “at-risk” have different learningpreferences than students categorized as “not at-risk?” The primary research question wasinvestigated and analyzed through frequency-based ordinal data pertaining to student learnerpreference(s). The second research question was evaluated through data analyzed
computerprogram. During the camp, students were asked to use either one or two objects (sprits) andinclude at least three stages for a short story. In general, students were able to use the buildingblocks for creating a game. Some students showed strong interests in control structures. Thepicture (Fig 6) showed a student demonstrating his game, which contains six balloons moving atrandomized path at a very fast speed. The player will score if (s)he can click on a balloon.After the first year, the camp enrollment was restricted to the middle school students only, with Page 23.993.9the understanding that they are the most receptive group of students who
, leadership, exit strategies. High Fidelity S. Frears, 2000 Life-work balance, creativity, leadership, exit strategies.Below are brief summaries of selected movies from Table 2, which may help to provide somedetails on the storyline and related entrepreneurial issues.Baby Boom: J.C. Wiatt (Diane Keaton) is a successful New York City businesswoman, and aworkaholic. Her life is thrown into a tailspin when she learns that she has inherited an infantfrom a distant relative who has passed away. Unable to keep up her demanding career with a Page 23.1029.5child at home, she moves
engineering colleges. Engineering Design Graphics Journal, 64(2), 23-28.4. Strong, S., & Smith, R. (2001). Spatial visualization: Fundamentals and trends in engineering graphics. Journal of Industrial Technology, 18(1), 1-6.5. Adanez, G. P, & Velasco, A. D. (2002). Predicting academic success of engineering students in technical drawing from visualization test scores. Journal for Geometry and Graphics, 6(1), 99-109.6. Leopold, C., Gorska, R. A., & Sorby, S. A. (2001). International experiences in developing the spatial visualization abilities of engineering students. Journal for Geometry and Graphics, 5(1), 81-91.7. Guay, R. (1977). Purdue Spatial Visualization Test – Visualization of Rotations. W. Lafayette
;5000 <10,000 >30,000 <10,000 <5000 <5000 >30,000 <5000Instruction A&S Prof+ Prof+ Prof+ Balanced Prof Balanced Balanced Assoc-Program A&S A&S A&S iatesGraduate Single Single Doc/ Comp Single Postbac Prof./ Comp N/APrograms Doc Doc Prof Doc Doc Prof Doc DocUndergrad Full time Full Full time Full time Full time Full time Full time Full time
that can improve GPT-4's code-generationaccuracy and randomness with changes to the model’s temperature and system prompts. Weassess the optimal temperature for GPT-4 to better enable its code-generation capabilities andobserve the change in code correctness based on the personality provided to GPT-4. We proposea pipeline built upon GPT-4 that can generate accurate python code for complex questions incompetitive programming contests. The result is a robust framework that utilizes dynamicsystem prompts to generate code and modify the solution. It includes a feedback loop with GPT-4 that will iteratively remove syntactical errors present in the generated code. In addition, weexplore its capabilities in generating sample test cases to check the
in higher education institutions during COVID-19 pandemic: current and future trends through bibliometric analysis,” Heliyon, vol. 8, no. 5, p. e09433, 2022, doi: 10.1016/j.heliyon.2022.e09433.[3] N. S. F. National Science Board, “Elementary and secondary STEM education,” Sci. Eng. Indic. 2022. NSB-2021-1, pp. 1–77, 2021, [Online]. Available: https://www.fcsm.gov/assets/files/docs/G5Rotermund.pdf.[4] D. Ciuffetelli Parker and P. Conversano, “Narratives of Systemic Barriers and Accessibility: Poverty, Equity, Diversity, Inclusion, and the Call for a Post-Pandemic New Normal,” Front. Educ., vol. 6, no. July, pp. 1–19, 2021, doi: 10.3389/feduc.2021.704663.[5] İ. Y. Kazu, C. Kurtoğlu, Y. Ii, I
replicate such acomplex network of factors at other institutional types.References[1] ASME, “Ethics in Engineering,” 2023. https://www.asme.org/about-asme/governance/Ethics-in-Engineering (accessed Aug. 22, 2023).[2] ASCE, “Code of Ethics,” 2020. https://www.asce.org/career-growth/ethics/code-of-ethics (accessed Aug. 22, 2023).[3] C. G. Schneider, “Making Excellence Inclusive: Liberal Education and America’s Promise,” Lib. Educ., vol. 100, no. 4, 2014.[4] E. M. Lang, “Distinctively American: The Liberal Arts College,” Daedalus, vol. 128, no. 1, pp. 133–150, 1999.[5] J. R. Rest, S. J. Thoma, and M. J. Bebeau, Postconventional moral thinking: A neo-Kohlbergian approach. Psychology Press., 1999.[6] J. R. Rest, D. Narvaez, S. J. Thoma
skills is challenging but very promising.References 1. Shelly, Richard W., et al. “Product Design Engineering: A Successful Student-Centered Interdisciplinary Elective.” NASSP Bulletin, vol. 81, no. 590, 1997, pp. 95–104, https://doi.org/10.1177/019263659708159014. 2024 ASEE Middle Atlantic Section Conference2. Jimerson, Shane R., et al., editors. Handbook of Response to Intervention The Science and Practice of Assessment and Intervention. 1st ed. 2007., Springer US, 2007, https://doi.org/10.1007/978-0-387-49053-3.3. Hanif, S., Wijaya, A. F. C., & Winarno, N. (2019). Enhancing students’ creativity through STEM project-based learning. Journal of Science Learning, 2(2), 50–57.4. Bozkurt Altan, E., &
for Engineering EducationAnnual Conference & Exposition. AC 2007-8. Honolulu, Hawaii.[4] Gleixner S., Ryaby P., Klaw E. “Service Learning in a Multi-Disciplinary Renewable EnergyEngineering Course,” Proceedings of the 2011 American Society for Engineering EducationAnnual Conference & Exposition. AC 2011-2277. Vancouver, B.C., Canada. [5] Yildiz, F. “Design and Development of a Multiple Concept Educational Renewable EnergyMobile Mini-Lab for Experimental Studies,” International Journal of Engineering Research andInnovations (IJERI). Vol. 4:2, 2012.[6] Pecen, R., Humston, J., Yildiz, F. “Promoting STEM to Young Students by RenewableEnergy Applications,” Journal of STEM Education: Innovations and Research (JSTEM). Vol:13:3, May-June 2012
than we expected with a variety of diverse experiences.”Author 2’s conversations with her participants were essential to creating an effectiveco-designing environment. Through feedback from research advisors, she learned the use ofstorytelling as a method for engaging the teacher co-designers in providing feedback regardingthe workshop and the designed lessons. Conversations can look different; they do not have to betraditional interviews or focus groups. Storytelling provided more information than Author 2expected, making it a method she is more likely to use in future workshops. 3. Building and Engaging with CommunitiesCo-design requires engagement with research participants and their local communities to addresscommunity needs
current thesis is on the instrumentation of an autonomous vehicle.Prof. Sean Walker, University of South Alabama Dr. Walker is an Associate Professor at the University of South Alabama in Mobile, AL and Program Coordinator of the Systems Engineering Program. They received their Ph.D. in Systems Design Engineering from the University of Waterloo, in Waterloo, Canada, in 2012. Dr. Walker has taught at the University of South Alabama since 2016 and has won multiple teaching awards from Mortar Board and Tau Beta Pi. Sean’s research interests include Engineering Education, and Sustainable Systems.Rachel Chai, University of South Alabama Rachel S. Chai was born in Ocean Springs, MS in 1996. She received his B.S. and M.S. in
: 10.59198/8259gnir7.[4] L. Kohlberg, The psychology of moral development: The nature and validity of moral stages. San Francisco, CA: Harper & Row, 1984.[5] Accreditation Board for Engineering and Technology. “Criteria for accrediting engineering programs, 2022-2023”. ABET. https://www.abet.org/accreditation/accreditation-criteria/accreditation-policy-and-proced ure-manual-appm-2023-2024/ (accessed Feb. 7, 2024).[6] Rest, James; Narvaez, D.; Bebeau, M.; Thoma, S. (1999). “DIT-2: Devising and testing a new instrument of moral judgment,” Journal of Educational Psychology. vol. 91, no. 4, pp. 644-659. 1999.[7] L. G. Kisselburgh, J. L. Hess, C. B. Zoltowski, J. Beever, and A. O. Brightman, “Assessing a
commitment to continuous learning,ethical consideration, and an openness to the vast possibilities that generative AI presents forenhancing the educational experience and preparing students for the challenges and opportunitiesof the 21st century. References[1] A. Johri, A. S. Katz, J. Qadir, and A. Hingle, “Generative artificial intelligence and engineering education,” Journal of Engineering Education, vol. 112, no. 3. 2023. doi: 10.1002/jee.20537.[2] U.S. Department of Education, “Artificial Intelligence and Future of Teaching and Learning: Insights and Recommendations,” Washington, DC, 2023.[3] J. Borenstein and A. Howard, “Emerging challenges in AI and the need for AI ethics
and contribution to Iowa for development of clean and renewable energy and promoting diversity and international education between 1998 and 2012. Dr. Pecen served as past chair (2013-14), chair (2012-13), chair-elect (2011-12) and program chair (2010-11) of ASEE Energy Conversion Conservation & Nuclear Energy Division (ECCNED). Dr. Pecen also served on the U.S. DOE Office of Clean Energy Demonstrations (OCED) Energy Improvements in Rural or Remote Areas (ERA) FOA 3045 grant review in 2023, and again U.S. DOE Energy Efficiency and Renewable Energy (EERE)’s merit grant, and U.S. DOE Rural Energy Development review committees to promote Grid Engineering for Accelerated Renewable Energy Deployment (GEARED) and
communities of engineering education research scholars,” in Proceedings of the 2006 American Society for Engineering Education Annual Conference, 2006.[3] L. Zheng and S. Wei, “Institutionalizing Engineering Education Research (EER) in China under the context of New Engineering Education: Departments, programs, and research agenda,” Int. J. Eng. Educ., vol. 39, no. 2, pp. 353–368, 2023.[4] K. Edström, A. Kolmos, L. Malmi, J. Bernhard, and P. Andersson, “A bottom-up strategy for establishment of EER in three Nordic countries-the role of networks,” Eur. J. Eng. Educ., vol. 43, no. 2, pp. 219–234, 2018.[5] E. Matemba et al., “Reflecting on a community of practice for engineering education research capacity in