Michigan State University and MIT. Her research interests include pre-college engineering education, teacher education, and equity in education. She is currently on NSF S-STEM, RET, and Noyce grants.Donna Taylor, STEM Education Center at WPI Donna serves as the Associate Director of Professional Development (PD) with the STEM Education Center at Worcester Polytechnic Institute (WPI). In her role, she develops PD experiences for STEM educators on topics such as high-quality integrated STEM and the storyline model of teaching and learning science. She has been involved in education for more than 20 years, including 15 years of classroom experience, teaching science and STEM to students in grades 5-12. She holds National
Glass Science in the Materials Engineering Curriculum. National Science Foundation.https://www.nsf.gov/awardsearch/showAward?AWD_ID=2120156&HistoricalAwards=false[2] Donovan, Katrina J., et al. "Investigating Creativity, Confidence, and an Entrepreneurial Mindset through CurricularModification and Community Engagement." 2023 ASEE Annual Conference & Exposition. 2023.[3] Donovan, K., & Kellar, J., & West, M., & Birrenkott, C., & Kellogg, S., & Mitchell, D., & Whitehead, M. (2022,August), Investigating the Impact of Arts on Student Learning by Introducing Glass Science in the Materials EngineeringCurriculum Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. https://peer.asee.org/42059
research plan that examines (a) potential changes instudents’ educational and career plans, (b) which elements of the APEX program most stronglyrelate to student outcomes, and (c) factors influencing instructor satisfaction with FLCs.The APEX program aims to deliver computing education to diverse community college students,better preparing them for today’s increasingly digital workplace. Continued expansion andassessment of the program will allow us to improve the experience of both students andinstructors, and to encourage nationwide adoption of embedding computing experiences intointroductory community college courses.References[1] R. W. Lent, S. Brown, and G. Hackett, “Toward a unifying social cognitive theory of career and academic
analysis of battery charge controllers for comparing three off-gridPV power plants," Heliyon, vol. 7, no. 11, p. e08331, 2021/11/01/, https://doi.org/10.1016/j.heliyon.2021.e08331.[2] M. Can Filibeli, et al., "Embedded web server-based home appliance networks," Journal of Network & Comp.Appl., vol. 30, no. 2, pp. 499-514, 2007/04/01/, doi: https://doi.org/10.1016/j.jnca.2006.04.001.[3] M. K. Ghodki, "Microcontroller and solar power based electrical energy management system for renewableenergy applications," International Journal of Electrical Power & Energy Systems, vol. 44, no. 1, pp. 852-860,2013/01/01/ 2013, doi: https://doi.org/10.1016/j.ijepes.2012.08.041.[4] H. S. a. U. B. a. K. Harismah, "Design, Construction and Testing of Portable
) Did the cart help you develop more prototypes? 4) Did your final design benefit from using the cart? 5) Did the cart motivate you to engage with your project? 6) How confident are you in developing controls for mechanical systems? 7) How confident are you in your understanding of basic fluids concepts including pressure, force, and compressibility?References[1] H. Ali and M. Lande, “Understanding the Roles of Low-fidelity Prototypes in Engineering Design Activity Understanding Practical Ingenuity Through the Roles of Low-Fidelity Prototyping in Engineering Design Activity.”[2] K. T. Ulrich and S. D. Eppinger, Product Design and Development, 6th ed. New York, NY: McGraw
expansion of technical elective offerings that advancethe concepts introduced in the mandatory courses. The development of a continual improvementprocess is on-going and will continue to be shared with the software engineering educationcommunity.References[1] B. Tenbergen, S. Krusche, R. Hanna, M. Bano, “Software Engineering Education andTraining: Industry Demands, Curriculum Deficits, and Pedagogy Direction”, Focus: GuestEditors’ Introduction in IEEE Software, IEEE Computer Society, Nov/Dec 2023, pp. 36 – 39.DOI: 10.1109/MS.2023.3328465[2] K. A. Gary, R. Acuna, A. Mehlhase, R. Heinrichs, S. Sohoni, “Scaling to Meet the OnlineDemand in Software Engineering”, International Journal on Innovations in Online Education,vol. 4(1), pp. 1-26, 2020.[3
use of the ARCS model of instructional design,” Journal of instructional development, vol. 10, no. 3, pp. 2–10, 1987.[8] S. Al-Qudah, J. Davishahl, E. Davishahl, and M. A. Greiner, “Investigation of sense of belonging to engineering in undergraduate introductory classes,” in 2018 ASEE Annual Conference & Exposition, 2018.[9] E. Vanhala and J. Kasurinen, “Goals and Principles for the Redesign of a Programming Course,” in Workshop on PhD Software Engineering Education, CEUR-WS, 2018.[10] A. Forte and M. Guzdial, “Motivation and nonmajors in computer science: identifying discrete audiences for introductory courses,” IEEE Transactions on Education, vol. 48, no. 2, pp. 248–253, 2005.[11] E. K. Pullu and M. N. Gömleksiz
not directly used,the authors found them both insightful and helpful and are therefore citing them here [3]-[7].References [1] Overview of CATME Features. Available: https://info.catme.org/features/overview/. [Accessed: 3/31/2024]. [2] D.A. Kolb, “Experiential learning: Experience as the source of learning and development,” FT press, 2014. [3] V. Sukack˙e, . A. O. P. de Carvalho Guerra, D. Ellinger, V. Carlos, S. Petronien˙e, L. Gaiˇzi¯unien˙e, S. Blanch, A. Marb`a-Tallada, A. Brose, “Towards Active Evidence-Based Learning in Engineering Education: A Systematic Literature Review of PBL, PjBL, and CBL,” in Sustainability, vol. 14, no. 21, 13955, 2022. [4] C. Herodotou, M. Sharples, M. Gaved, A. Kukulska-Hulme, B. Rienties
aligns with the loading test and falls within therange of reported laboratory tests as documented in the work of Yang et al12. Using theseparameters, the stability analysis indicates that the first mode of lateral buckling is produced with630 pounds, as shown in Figure 11-b. The lateral buckling from the laboratory test occurs with290 pounds, however the buckling shape is like the theory. The disparity between the predictedand observed loads is attributed to misalignment of the upper chord and other imperfectionsinherent in the construction process. 100 pounds a. Deflections under 100 s applied at center Mode 1: 630 pounds Mode 2: 680 pounds Mode 3: 710 pounds Mode 4: 890 pounds
. Zavala, and J. F. Calderón, “Student response to instructional practices (StRIP) survey in engineering classrooms: Validating a Spanish version,” in 2020 ASEE Virtual Annual Conference Content Access, 2020.[5] M. L. Kovarik, J. K. Robinson, and T. J. Wenzel, “Why Use Active Learning? In Active Learning in the Analytical Chemistry Curriculum,” American Chemical Society, 2022, pp. 1–12.[6] L. Deslauriers, L. S. McCarty, K. Miller, K. Callaghan, and G. Kestin, “Measuring actual learning versus the feeling of learning in response to being actively engaged in the classroom,” Proceedings of the National Academy of Sciences, p. 116(39), 2019.[7] H. J. Cho, K. Zhao, C. R. Lee, D. Runshe, and C. Krousgrill, “Active learning
range of student involvement in chemicalengineering.References[1] Landherr, Lucas. “Integrating Comics into Engineering Education to Promote Student Interest, Confidence, and Understanding.” Papers on Engineering Education Repository (American Society for Engineering Education), 10 Sept. 2020, https://doi.org/10.18260/1-2--32983. Accessed 28 Jan. 2024.[2] S. Madnani, “Why Chemical Engineering?,” Viterbi Voices, Apr. 27, 2020. https://viterbivoices.usc.edu/sheetal/chemical-engineering-why-i-chose-it-and-why-i- stayed/ (accessed Feb. 05, 2024).[3] “2021 Graduate Enrollment in Science, Engineering, and Health Fields at All-Time High as Postdocs Continue to Decline | NSF - National Science Foundation
mistakes areessential for improving conceptual understanding, which was an additional upgrade to theinterventions. When the professors display a growth mindset, it can facilitate positivepsychological and learning outcomes for students [9]. For our surveys, we changed the “male” and “female” terms to “man” and “woman” respectivelyas they are more appropriate options for the gender choice.References[1] C.S. Dweck, Mindset: The New Psychology Of Success. Penguin Random House, 2006.[2] N. Zerin, S. Ratanalert, “ Work in Progress: Promotion of Growth Mindset in IntroductoryMass and Energy Balance Course in Chemical Engineering,” ASEE Conferences, 2023.[3] “Developing a Growth Mindset with Carol Dweck,” Stanford Alumni, October 2014.Available: https
, S. (2018). The imperative to move toward a dimension of care in engineering education. Journal of Research in Science Teaching, 55(7), 938-961.Hartner-Tiefenthaler, M., Roetzer, K., Bottaro, G., & Peschl, M. F. (2018). When relational and epistemological uncertainty act as driving forces in collaborative knowledge creation processes among university students. Thinking Skills and Creativity, 28, 21-40Jordan, B., & Henderson, A. (1995) Interaction Analysis: Foundations and Practice, Journal of the Learning Sciences, 4:1, 39-103, https://doi.org/10.1207/s15327809jls0401_2Jordan, M. E., & McDaniel, R. R. (2014). Managing Uncertainty During Collaborative Problem Solving in Elementary School Teams
acceptance and adoption among engineering students.References[1] S. Dawson, L. Heathcote, and G. Poole, "Harnessing ICT potential: The adoption and analysis of ICT systems for enhancing the student learning experience," International Journal of Educational Management, vol. 24, no. 2, pp. 116-128, 2010.[2] K. Cook-Chennault and I. Villanueva, "Exploring perspectives and experiences of diverse learners' acceptance of online educational engineering games as learning tools in the classroom," ed: IEEE, 2020, pp. 1-9.[3] H. Taherdoost, "A review of technology acceptance and adoption models and theories," Procedia manufacturing, vol. 22, pp. 960-967, 2018.[4] A. Granić, "Educational Technology Adoption: A
this will also result in increased student engagement and motivation topursue their studies. Students in the follow-on course found it a useful way to introducemicrocontrollers and microcontroller programming. We plan to expand the programmingcomponent further and to explore ways to integrate it more with the follow-on courses.References[1] J. O. Campbell, J. R. Bourne, P. J. Mosterman, and A. J. Brodersen, “The Effectiveness ofLearning Simulations for Electronic Laboratories,” Journal of Engineering Education, vol. 91,no. 1, pp. 81–87, 2002, doi: 10.1002/j.2168-9830.2002.tb00675.x.[2] M. D. Koretsky, D. Amatore, C. Barnes, and S. Kimura, “Enhancement of Student Learningin Experimental Design Using a Virtual Laboratory,” IEEE Transactions on
Skills,” Surgical Endoscopy, vol. 20, no. 10, pp. 1565–1569, Aug. 2006. doi:10.1007/s00464-004-9270-6[4] J. Jiang and L. K. Fryer, “The Effect of Virtual Reality Learning on Students & Motivation: A Scoping Review,” AERA 2023, pp. 1–14, Oct. 2023. doi:10.3102/ip.23.2005486[5] C. Graeske and S. A. Sjöberg, “VR-Technology in Teaching: Opportunities and Challenges,” International Education Studies, vol. 14, no. 8, p. 76, 2021. doi:10.5539/ies.v14n8p76[6] S. Grassini, K. Laumann, and M. Rasmussen Skogstad, “The Use of Virtual Reality Alone Does Not Promote Training Performance (But Sense of Presence Does),” Frontiers in Psychology, vol. 11, Jul. 2020. doi:10.3389/fpsyg.2020.01743[7] Mordor Intelligence, “VR
improvement in the capstone courses. The first module is anintroduction to systems engineering while other modules relate to systems engineering toolsthat are taught „just-in-time‟ to support completion of the capstone design projects.Implementation Method:The SE training modules were developed by an Industrial and Systems Engineering facultymember under the consultation of the Assistant Director of Wayne State University‟s Office ofTeaching and Learning.The process began with the development of an instructional design matrix which included:Instructional Goal, Objectives, Assessment Methodology, Information Presentation, Practiceand Feedback, and the Media and Materials to be used (4). An example of an InstructionalGoal was: “Students will be able to
goodpartners/partnerships, and identifies some of the benefits for the parties involved.Introduction: Engineering is ElementaryEngineering is Elementary (www.mos.org/eie) is a research-based, standards-driven, andclassroom-tested curriculum developed by the Museum of Science, Boston that integratesengineering and technology concepts and skills with elementary science topics. EiE materialsalso connect with literacy, social studies, and math. Each of the 20 EiE units reinforces oneelementary science topic, focuses on one field of engineering, and is set in a different country.The units each begin with an illustrated storybook in which a child confronts a problem. S/hesolves it with the mentoring of an adult engineer who introduces the child to the
. Page 22.1342.918. Marceglia S, Bonacina S, Mazzola L, Pinciroli F. Education in biomedical informatics: learning by doing bioimage archiving. Conf Proc IEEE Eng Med Biol Soc. 2007;2007:5924-5928.19. Newstetter WC. Fostering integrative problem solving in biomedical engineering: the PBL approach. Ann Biomed Eng. Feb 2006;34(2):217-225.20. Sachdeva AK. Surgical education to improve the quality of patient care: the role of practice-based learning and improvement. J Gastrointest Surg. Nov 2007;11(11):1379-1383.21. Van Ginneken CJ, Vanthourout G. Rethinking the learning and evaluation environment of a veterinary course in gross anatomy: the implementation of an assessment and development center and an E-learning
italics were from a previous year. Students were provided the same detailedinformation in the syllabus about the desktop module as in Year 1, but were told that last year’sstudents already completed that. The Year 2 students were told that they were to modify thoseprojects to fix short-comings indicated in the assessments from Year 1. Relevant project reportswere handed over (with grades redacted), which gave the new student teams a place to start. Theywere also given the name of the team leader from the previous year(s) to use as areference/resource.In an effort to help mitigate students back-loading the work on the project to the end of thesemester, teams were required to hand in a weekly memo, which updated the instructor on theprogress on
. & Fig. 4. (i) Fuzzy Inference System and (ii) Output P Z NS NM Membership functions.Table 1 provides the fuzzy tuning rules for the Mamdani type direct fuzzy controller used for thespeed control of the DC servo-motor.Figures [3] and [4] give a schematic overview of the Mamdani type fuzzy controller5,6 developedusing MATLAB‟s Fuzzy Logic Toolbox(FLT) for the servo-motor speed control. The FLTprovides five graphical user interfaces (GUI) tools for building, editing, and observing fuzzyinference systems(FIS): (i)FIS editor (Fig 3),(ii) the Membership Function Editor that is used forboth the input space and output space ( Fig 4), (iii) the Rule Editor(Fig 5), (iv) the SurfaceViewer(Fig 6) and (vii) the
start here); the “Laplace Transform background” topic has an occurrence which is a webpage describing background necessary to continue in the topic. Other topics are arranged aroundthe main topic. Page 22.1535.7If, for example, the student wants to learn about the Laplace transform table s/he can select thattopic and bring it to the center. Clicking on the encircled “4” reveals occurrences associatedwith the topic as shown in figure 6. In this case this is four links; one to a Laplace transformTable, another describing how the table is used, a third one with some examples, and a last onewith problems to be completed. Figure 6: Topic of
activities to foster student learning. Finally, we would like tothank the National Electrical Contractors Association Green Energy Challenge which inspired us todevelop this project.Bibliography1. Bonds, C.; Cox, C. III; and Gantt-Bonds, L. “Curriculum Wholeness through Synergistic Teaching.” The Clearing House 66/4 (1993): 252-254.2. Bonwell, C.C. and Eison, J.A. Active Learning: Creating Excitement in the Classroom. ASHE-ERIC Higher Education Report No. 1, George Washington University, 1991.3. Felder, R.M. and Brent, R. Cooperative Learning in Technical Courses: Procedures, Pitfalls, and Payoffs. ERIC Document Reproduction Service Report ED 377038, 1994.4. Hanna, Awad S., Russell, Jeffery S., Gotzion, Timothy W., and Nordheim
frontier: an empirical exploration. ResearchEvaluation 2006, 15, (1), 17-29.10. Fruchter, R.; Emery, K. In Teamwork: Assessing cross-disciplinary learning, Conference on Computersupport for collaborative learning, Palo Alto, CA, 1999; International Society of the Learning Sciences: Palo Alto,CA, 1999; p 19.11. Schaffer, S. P.; Lei, K.; Paulino, L. R., A framework for cross-disciplinary team learning and performance.Performance Improvement 2008, 21, (3), 7-21.12. Muis, K. R.; Bendixen, L. D.; Haerle, F. C., Domain-generality and domain-specificity in personalepistemology research: Philosophical and empirical reflections in the development of a theoretical framework.Education Psychology Review 2006, 18, (1), 3-54.13. Klein, J. T
to examine impact andeffectiveness will be needed. REFERENCES1. Schneider, C.G. and D. Humphreys, Putting Liberal Education on the Radar Screen. Chronicle of Higher Education, 2005. 52(5): p. B20-B20.2. Alexander, L. (2010) A federal Impediment to quicker degrees. Inside Higher Ed.3. Nationl Center for Education Statistics, Persistence and Attainment of 2003-04 Beginning Postsecondary Students: After 6 Years, T. Hunt-White, Editor. 2010, U S Department of Education: Washington, DC.4. Brainard, J. and A. Fuller, Graduation Rates Fall at One-third of 4-Year Colleges, in The Chronicle of Higher Education. 2010: Washington, DC.5. Atman, C.J., et al., Enabling
”, Information and Management 43 (1) (2006), pp. 15–273. P. Herder, E. Subrahmanian, S. Talukdar, A. Turk, W. Westerberg, “ S”. “The use of video-taped lectures and web-based communications in teaching: A distance-teaching and cross-Atlantic collaboration experiment”, European Journal of Engineering Education, Vol. 27, Issue 1, pp. 39 – 48, March 2002 Page 22.1335.7Appendix A LECTURE VIDEO SURVEY This questionnaire is designed to assess your perceptions of the use of lecture videos as a means to increase time for in class problem solving applications. Please answer the questions as
Weight Outcomes /Performance Questions Value Classification of test Criteria #s Use basic laws (Ohm’s 3(b) – 3: Apply Knowledge 1/(30) 2 1.89 law, power law, appropriate Comprehension 1/(29) 3 2.83 Kirchhoff’s law) to knowledge of Analysis 1/(24) 5 4.72 analyze and solve series scientific, circuits, parallel
of the each classperiod which the students were required to answer prior to the start of the next class period. Todo so, students were required to log into a course management system (CMS), within which thequestions were posted. For these classes, the chosen CMS was Blackboard, but similartechniques could be used in other CMSs. Immediately after answering the questions, studentswere provided with the correct response(s) to the question. In addition, the answers were alsoused as part of a brief recap of that lecture during the next class period, and time was madeavailable for discussion about the questions. Page 22.1528.2The remainder of the
. S. Monemi, B. Watkins, C. Bolton, A. Manimbo, Y.C. Tsang, N. Patel, J. Gurr, J. Huynh, “Smart Grid Design and Implementation” Senior Project Report, Cal Poly Pomona, June 2010.2. S. Monemi, “An outage Restoration Management System for Power Distribution Networks” ESRI Electric and Gas user conference, Fall 1999, Phoenix, AZ.3. Brown and Vranesic, “Fundamentals of Digital Logic with Verilog Design”, 2003, McGraw Hill.4. R.C. Jaeger and T.N. Blalock, “Microelectronic Circuit Design”, 4th Ed., McGraw Hill, N. Y. 2008.5. Mazidi, McKinlay, and Causey, “PIC Microcontroller and Embedded systems using assembly and C for PIC18”,Pearson, Prentice Hall, 2008
3. T The EYELET T model. Figure 4. The T TAPER COLLAR C M Model and Drrawing.ResultsConceptss for each assignment weere reviewed d to determinne which couuld be easilyy identified aandmeasured d within eachh student’s solid s modelinng file. Therre were 13 m measureable conceptsidentifiedd for the ROOD GUIDE model