to biomedical engineering education. This process includes – • Identifying a major learning objective(s) for the course (ie, what should student be able to do at the end of the course • Define specific learning objectives necessary to achieve the major objective(s) • Identify challenges that target these learning objectives • Use STAR Legacy to organize learning activities (including assessment events) to systematically explore the problem space of a challenge. • Define a sequence of pre-class, in-class and post-class learning activities. This process will result in creating a modular unit that can be shared with others.If portions of the module do not suit the needs
Session 3268 Design Projects for Mechanics Courses Nicholas J. Salamon and Renata S. Engel The Pennsylvania State UniversityAbstractIn teaching undergraduate mechanics, it is important to regularly relate the theory to applicationsin a meaningful manner. We believe mechanical design is the most important and convenientapplication to employ for the following reasons: (1) it closely follows the mechanics theory, (2) itrequires an understanding of the theory, (3) it introduces markets and mechanical technology tostudents, (4) it connects students with information
Session 2002-109section of Introduction to Systems Engineering (a Freshman introductory course).13, 14This course was similar in form to that offered by U. S. Coast Guard’s program. 4 FiveUALR students and one Hendrix student participated in this course. Although the coursemet with limited success, it illustrated many of the pit-falls associated with connecting anintroductory course with FIRST.We assumed that the pre-college students on successful FIRST teams were performingsome useful role in the design process. Therefore, Freshmen engineering students shouldbe able to participate. In reality, most corporate teams assign a large engineering staff toperform the design and allow their pre-college students to “shadow” the engineers. Theyounger
to 6 “subfunctions” that, at a high level, definethe functional decomposition of the primary function. Then the destination and origins of inputsand outputs with respect to the subfunctions are identified to show functional transformationsand relationships. To help students complete the diagrams, students are told that miracles(function boxes with outputs and no input(s)) and black holes (functions with inputs and nooutput(s)) can not occur. A sample Level 0 diagram for the “encourage recycling” function isshown in Figure 6.0. CollectUsed Materials Recyclables Loose Garbage A1
have access to a set of single topic tutorials that cover aspectsof PSpice simulations and measurement techniques, and address common issues encounteredwhen using the LiaB hardware and during installation of MatLAB, PSpice, and the oscilloscopesoftware package.The tutorial topics are concentrated on issues that arise early in the first semester d.c. circuitslaboratory course; for example, how to launch OrCAD PSpice and locate the basic componentsincluding ground, how to sweep the value of a d.c. voltage source, how to use „Help‟ in MatLAB,and how to change the fuse in the digital multimeter. The constructed tutorials are based onGagne‟s instructional events7, which also formed the pedagogical approach to the developmentof the vodcasts and the
I like the following session(s). 17 25 21 25 29 20 20 I think the following session(s) needs 2 1 6 3 5 8 7 9 improvement. I was able to understand the theory in 3 N/A 22 25 17 20 15 14 lectures better by doing the experiments. Especially the following experiment(s) 4 N/A 17 20 21 18 14 13 was helpful to understand the theory. Especially the
classroom engagement and its effect on student performance.The emergence of Web 2.0 and SNT as a dominant force for communication and interactionamong various groups of people has led to discussion among the academic community regardingwhether or not these technologies are actually effective within the classroom setting. Whileeffectiveness in regards to classroom performance has not been successfully determined and stillexists as a gap in the academic community’s knowledge of Web 2.0’s effect on higher education,there are parallels that exist between using online courses and Web 2.0. Several studies7, 8, 10have been conducted to determine if there are any significant differences between students whohave chosen an online course of study versus a
Sketchup strike a balance between the ease-of-use necessary for classroomlearning and the flexibility to solve various design challenges. Digital fabrication, leveragingdesktop computer-aided manufacturing (CAM) promises to transform society in wayscomparable to the desktop computer revolution of the 80’s and 90’s25. Students who enter theworkforce with familiarity with such technologies will be well positioned to lead the way.Digital desktop fabricators are dropping in price and increasing in user-friendliness (e.g.,RepRap http://www.reprap.org; UP! 3D printer http://www.pp3dp.com; Fab@Homehttp://www.fabathome.org) with communities of 3D designers coalescing to share designs (e.g.,http://www.thingiverse.com). WISEngineering will smoothly
. “Teachability of reflexive processes in written composition,” Cognitive Science, 8, 1984, 173-190.5. Schoenfeld, A. H. Problem solving in the mathematics curriculum: A report, recommendations, and an annotated bibliography. (MAA Notes #1). Washington, DC: Mathematical Association of America, 1983.6. Brown, A. L., & Palincsar, A. S. “Guided cooperative learning and individual knowledge acquisition,” In L. B. Resnick (Ed.), Knowing, learning, and instruction: Essays in honor of Robert Glaser. Hillsdale, NJ: Erlbaum. 1989, p. 393-451.7. Pirolli, P. & Recker, M. “Learning Strategies and Transfer in the Domain of Programming,” Cognition and Instruction, 12, 1994
been successful in reaching theobjectives mentioned above, enhancing our students’ ability to contribute and succeed inindustry immediately upon graduation. Page 6.753.2Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright 2001, American Society for Engineering Education Fo c u s on in te r- Fo c u s on t e a m s k i lls a n d d is c ip l in a ry d e s ig n p ro je c t ma n a g e me n t E G R 18 6 E G R 2 86 X X X
30 20 10 0 1 2 3 4 t iHere, an example of moving the thermocouple from cold to hot water is displayed. Additional dummyindices were required in order to sample the temperature data and establish the initial and steady statetemperatures. j 21 .. 40 s N 100 .. N y initial yj y steady ys
: s +1 X(s) = s (s + 2s + 2) 22. Draw a signal flow diagram describing this equation in the observer canonical form.3. If the characteristic equation below can be used to describe your King, is he stable? (use the Routh criterion)” s 4 + 3s3 + s2 + 3s + 6To these questions, they replied, “The answers to these questions are obvious. Even ENBE471students could answer them. We will have them do so and reply by December 16, 1998 at 5p.m.”In the face of such obvious brilliance, her Wickedness could only yield. She told them what theymust find.“You must acquire
/j.2168-9830.2005.tb00835.x.[3] J. E. Mitchell, A. Nyamapfene, K. Roach, and E. Tilley, “Faculty wide curriculum reform: The integrated engineering programme,” Eur. J. Eng. Educ., vol. 46, no. 1, pp. 48–66, Jan. 2021, doi: 10.1080/03043797.2019.1593324.[4] S. D. Sheppard, “Design as cornerstone and capstone,” Mechanical Engineering, p. 44, 1999.[5] Y.-L. Han, K. Cook, G. Mason, and T. R. Shuman, “Enhance engineering design education in the middle years with authentic engineering problems,” J. Mech. Des., vol. 140, no. 12, p. 122001, Dec. 2018, doi: 10.1115/1.4040880.[6] G. Charosky, L. Hassi, K. Papageorgiou, and R. Bragós, “Developing innovation competences in engineering students: a comparison of two approaches
a blueprint for formative assessment of conceptualunderstanding in aerospace engineering middle-year courses. Therefore, future work includessimilar analysis of other flight dynamics topics (linearization, and longitudinal and lateral-directional dynamics) as well as a comparison of student and instructor mental models. Byfocusing on understanding the development of the students’ conceptual models of atmosphericflight mechanics topics, it is possible to design courses that are better suited to developing robustunderstanding.References[1] R. A. Streveler, S. Brown, G. L. Herman, and D. Montfort, “Conceptual change and misconceptions in engineering education: Curriculum, measurement, and theory-focused approaches,” in Cambridge Handbook
for expanding these efforts to predict the impact of EC on human factors that alsoimpact a design project.ReferencesBeigpourian, B., Ferguson, D., Berry, F., Ohland, M., & Wei, S. (2019). Using CATME to Document and Improve the Effectiveness of Teamwork in Capstone Courses. 2019 ASEE Annual Conference & Exposition Proceedings. https://doi.org/10.18260/1-2--33497De Los Rios, I., Rodriguez, F., & Pé, C. (2015). Promoting Professional Project Management Skills in Engineering Higher Education: Project-Based Learning (PBL) Strategy*. International Journal of Engineering Education, 31, 1–15.Fei, G., Gao, J., Owodunni, O., & Tang, X. (2011). A method for engineering design change analysis using system modelling and
Director for the Industrial Assessment Center at Boise State University. He served as the Faculty in Residence for the Engineering and Innovation Living Learning Community (2014 - 2021). He was the inaugural Faculty Associate for Mobile Learning and the Faculty Associate for Accessibility and Universal Design for Learning. He was the recipient of the Foundation Excellence Award, David S. Taylor Service to Students Award and Golden Apple Award from Boise State University. He was also the recipient of 2023 National Outstanding Teacher Award, ASEE PNW Outstanding Teaching Award, ASEE Mechanical Engineering division’s Outstanding New Educator Award and several course design awards. He serves as the campus representative and
for student success, San Francisco State University (SFSU)has partnered with two local Hispanic-Serving Institution (HSI) community colleges, SkylineCollege and Cañada College. This collaboration involves developing and implementing severalstrategies through the Strengthening Student Motivation and Resilience through Research andAdvising (S-SMART) project, which is funded by the National Science Foundation's HSIImproving Undergraduate STEM Education (IUSE) program. One of the strategies developed isthe S-SMART Summer Internship Program, which offers community college students who havelimited previous research experience meaningful opportunities to engage in engineering researchwith close mentorship from faculty and peer mentors, as well as
leading to a better understanding and applicationof experiment-centric teaching methods.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.1915614. The opinions, findings, and conclusions or recommendations expressed are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.References[1] R. L. Stowe, L. J. Scharlott, V. R. Ralph, N. M. Becker, and M. M. Cooper, “You Are What You Assess: The Case for Emphasizing Chemistry on Chemistry Assessments,” J. Chem. Educ., vol. 98, no. 8, pp. 2490–2495, Aug. 2021, doi: 10.1021/acs.jchemed.1c00532.[2] D. Lombardi et al., “The Curious Construct of Active Learning,” Psychol Sci Public Interest, vol
approval, in most cases. We worry thatthe IRB application process may pose a barrier to REU leaders, who are typically scientists andengineers who may not have experience with human subjects research. Here we offer guidance 2based on our experience pursuing IRB approval for research on evaluation data, although IRBpolicies vary by institution. We did not apply for IRB approval for Year 1’s data collectionbecause we wanted to pilot-test our methods first. To prepare for Year 2, Wylie worked with anIRB staff member through multiple revisions of a protocol. Our IRB staff were primarilyconcerned about three issues that we imagine are common: · Coercion
conclusions or recommendations expressed in this material are those of the author(s) and donot necessarily reflect the views of the National Science Foundation. 1Fisher identified significant gender differences in major selection for male- and female-identifiedstudents in computing based on individuals’ attention to “computing with a purpose” [9].However, it is important that we recall Slaton’s cautions against the operation of essentialismwithin this approach to diversity and inclusion and not predicate calls for change on a “naturaldifference” in approaches to engineering, rather we call for a change in values for liberation [10].Our department is at the beginning of a multi-year journey of
work and to add two additional non- metropolitancommunity colleges to the mix. This program is called METSTEP. Based on a successful thirdyear review, this grant is for five years and also supports the METS Center, as well as some $4Kscholarships for students from the five targeted schools and additional $300 scholarships fortransfer students who register, attend, and do the assignments on time for a one credit AcademicSuccess Class. Much of this work has already been documented. 3-9 . The support for engineeringtransfer students at ASU is further enhanced through an S-STEM Academic Success Program(NSF grant # 0728695).II. Community College Visits by ASUThere is nothing more effective than a meeting face to face when a university person wants
teachers: students of senior physics are by no means guaranteed a teacher whomajored in physics. Such students are most likely disadvantaged in terms of both subjectskills and inclination to further study. The American Society for Engineering Education,reflecting the nation‟s anxiety over the situation in the U.S., in 2003 established a K-12 &Pre-College Engineering Division (website available at http://k12division.asee.org/).Many universities are now funding outreach programs to increase the number of engineeringundergraduates 4-15. Ideally, such outreach programs should have two positive outcomes:participating students should be both better prepared for and better informed aboutengineering careers. The University of Auckland‟s (UoA‟s
the morning by teaching the heart lung curriculum toclassrooms of students enrolled in the Upward Bound Program. In the late afternoon session, theteachers and INSPIRES faculty collectively reviewed videotapes of that day‟s session andprovided constructive criticism to improve content understanding, teaching pedagogy andcurriculum delivery. Of the twelve teachers who participated in the three week PD training, nine have/areimplementing the "Engineering in Health Care: A Heart Lung Case Study" curriculum with theirhigh school students during the 2010-11 academic year. To date, student learning data has beencollected and analyzed and are presented here (for seven of the nine teacher classrooms) todetermine the effectiveness of the
cl t us Da ion al y ze s A n Collection of Evidence Institutional Values The Learning Activity or Paradigm SelectedIntervention Theory or Model Learning
particular since undergraduate education is their focus.4.3. The challengesThe two research projects are still on-going. Most likely these projects will last several years.Many undergraduate students are only available for research work for a limited period of time.Sophomore or junior level students are good candidates for participating in REU projects;however, most of them will also be looking for summer internships in industry. Faculty memberssponsoring the REU project face the following challenge: How to use the trained students tobring the new hires up to speed? Page 22.279.11References1. Bauer, K. W. and Bennett, J. S., “Alumni Perceptions to
Response Reports (Miami Fall 2009)module 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16number of students 69 70 68 69 64 71 64 59 54 66 58 50 62 49 49 55who submittedFor modules 6 and 7 (which provide data now to the DDL) we could determine the participationin individual LBD and DIGT exercises, as shown in Table 3. Page 15.1313.10 10Table 3. Initiation and Completion of Individual Exercises in Module 7 (Miami Fall 2009)page in module 7 1 2 3 4 5 6 7# of students s f s f s
AC 2010-436: BUILDING COMMUNICATION SKILLS IN SUPPLY CHAINMANAGEMENT AND FACILITY LOGISTICS CURRICULUM THROUGHMULTI-INSTITUTIONAL VIRTUAL TEAMINGSuzanna Long, Missouri University of Science & Technology Suzanna Long is an assistant professor of engineering management and systems engineering at Missouri S&T. She holds a PhD and an M.S. in engineering management, B.S. in physics and a B.A. in history from the University of Missouri-Rolla (UMR) and an M.A. in history from the University of Missouri-St. Louis. Her research interests include strategic partnering in global supply chain networks, supply chain curriculum development, virtual teaming in a global marketplace, and sustainable energy
, s no singlestudy has attempted address how w international students affect the graduate engine ineering educationcommunity. The purpose of this is review is to present an overview of the literatur ure surroundingengineering graduate education,, w with the aim of highlighting future research queuestionssurrounding the influence of inter ternational students.MethodsTo obtain the articles reviewed in the next section, an extensive search of the lite iterature wasperformed during August through gh March of 2008. Using a university library
Session 2426 A Web-accessible Shaking Table Experiment for the Remote Monitoring of Seismic Effects in Structures Mazen Manasseh, Eduardo Kausel, Kevin Amaratunga Department of Civil and Environmental Engineering Massachusetts Institute of Technology Abstract A remotely accessible system for controlling shake table laboratory experiments is presented. The Shake Table WebLab at MIT s Civil Engineering Department is implemented under the iLab initiative for the development of educationally oriented remote experiments. The fully functional system allows
Industry 4.0, https://www.assemblymag.com/articles/95694-robotics-in- the-age-of-industry-40 Proceedings of the 2022 Conference for Industry and Education Collaboration Copyright ©2022, American Society for Engineering Education[3] Grischke, J., Johannsmeier, L., Eich, L., Griga, L., & Haddadin, S. (2020). Dentronics: Towards robotics and artificial intelligence in dentistry. Dental Materials, 36(6), 765-778.[4] Pan, Y., Al-Hadithi, B. M., & Yang, C. (2020). AI for Robot Modeling, Path Planning, and Intelligent Control. Frontiers in Robotics and AI, 7, 19.[5] Brewka, G. (1996). Artificial intelligence—a modern approach by Stuart Russell and Peter Norvig, Prentice