critiques causes excessive cognitive load for students. WebTA users view a traffic light system to portray the severity of antipattern(s) found within a stu- dent’s program. A ‘Green’ light means no antipatterns and/or a good pattern was found within the code. A ‘Yellow’ light means a non- critical antipattern or error was found. A ‘Red’ light
(TALE). IEEE, 2015, pp. 72–76. [7] K. W. Van Treuren, “Applying active learning to an introductory aeronautics class,” in 2018 ASEE Annual Conference & Exposition, 2018. [8] C. R. Compeau, A. Talley, and P. Q. Tran, “Active learning in electrical engineering: Measuring the difference,” in 2019 ASEE Annual Conference & Exposition, 2019. [9] F. Portela, “A new and interactive teaching approach with gamification for motivating students in computer science classrooms,” in First International Computer Programming Education Conference (ICPEC 2020). Schloss Dagstuhl-Leibniz-Zentrum f¨ur Informatik, 2020.[10] G. S. Tewolde, “Effective active learning tools for an embedded systems course,” in 2017 IEEE Frontiers in Education
involved conducting a comprehensive analysis of the overall system. Cruse et al.provide a detailed overview of the course topics, with project days and activities denoted [4].Survey And Data CollectionResearchers implemented a self-efficacy survey in the course structure to gain insights into theproject's impact on student self-efficacy. The instrument used to measure self-efficacy was anadapted from of the survey validated and discussed in Mamaril et al.'s Journal of EngineeringEducation paper entitled, "Measuring Undergraduate Students' Engineering Self-Efficacy: AValidation Study [8]." In this validation study, a self-efficacy instrument was identified to measureengineering efficacy in four areas: general engineering (Gen) and three engineering
, L. Landherr, D. Silverstein, S. Thiel, B. Vaughen and T. Vogel, "Process Safety Across the Curriculum," in AIChE Annual Meeting, Orlando, FL, 2023.[2] L. P. Ford, K. D. Dahm, D. Crowl, C. Barr, J. Brennan, T. Carter, L. Landherr, D. Silverstein, S. Thiel, B. Vaughen and T. Vogel, "The 2023 Timepoint in the Development of Process Safety Education," Chemical Engineering Education.[3] M. S. Mannan and D. K. Startz, "Process Safety Curriculum in US Universities," Centerline, vol. 10, no. 1, 2006.[4] P. B. Hasan, "Process Safety Curriculum Survey," Centerline, vol. 16, no. 2, 2012.[5] J. A. Shaeiwitz and S. Abubakr, "Hazards Associated with Chemical, Physical, and/or Biological Processes in the ChE Curriculum," in AIChE
of Higher Education of the School of Engineering and Sciences, and her current role is Academic Services Director. Vianney belongs to the executive committee of the Matilda Latin American Chair for Women in Engineering and belongs to the mentoring and research groups. She belongs to the LACCEI executive board. She is a founding member of Ingenia Women in Engineering and Sciences participating in the linkage, mentoring and dissemination committees. Vianney is a founding member of the OWSD Mexico´s Chapter. She is an IEEE, WIE (Women in Engineering) and IEEE-HKN member. Vianney is a CB Coach certified by the Conscious Business Center. She belongs to the National System of Researchers (SNI). Her research lines
, University of Notre Dame Dr. Kerry Meyers holds a Ph.D. in Engineering Education (B.S. & M.S. Mechanical Engineering) and is specifically focused on programs that influence studentˆa C™s experience, affect retention rates, and the factors that determine the overall long term succes ©American Society for Engineering Education, 2024 Replicating the Community-Engaged Educational Ecosystem – differences in outcomes across studentsIntroductionWith the ongoing transition to the knowledge-based, mobile economy, cities in the United Statesrecognize the importance of a STEM-literate workforce. In the depopulated, legacy industrialareas in the Midwest, cities fight to attract and retain an educated
. The GameThe method by which this paper teaches SOP minimization is a game with which students competeto capture the maximum number of true minterms. Upon capture by either player, a true minterm’ssquare or cell is highlighted with the player’s corresponding color. Once all true minterms arecaptured by either Player One or Player Two, the game is over and the player with a greater numberof true minterms covered wins. The player(s) can also capture true minterms occupied by the otherplayer to both reduce their opponents score and increase their own. However, if a player capturesa false minterm through any one of their moves via an incorrect Sum-of-Products, then the playerforfeits the game. As such, the game encourages students to naturally
Paper ID #42835Use of Virtual Reality to Improve Learning Experience on a Lean ManufacturingCourseDr. Gibr´an Sayeg-S´anchez, Tecnologico de Monterrey Dr. Gibr´an Sayeg-S´anchez is professor – consultant in the Science Department in Tecnologico de Monterrey, Puebla campus. He studied a PhD in Financial Science in EGADE Business School (2016), a MSc in Industrial Engineering in Tecnologico de Monterrey (2011), and a BEng in Industrial and Systems Engineering in Tecnologico de Monterrey (2006). Dr. Sayeg-S´anchez has more than 11 years of experience in teaching statistics, mathematics, and operations research; and more
completed more variety of StaticViewproblems, more specific CAD models used as well as the timing on when they are introduced toyield more meaningful results.References[1] Steif, P. S., & Dollar, A. (2004, January). Reinventing engineering statics to address theconceptual difficulties of students. In ASME International Mechanical Engineering Congress andExposition (Vol. 47233, pp. 47-52).[2] Wingate, K. A., Ferri, A. A., & Feigh, K. M. (2018, June). The impact of the physics, statics,and mechanics sequence on student retention and performance in mechanical engineering. In2018 ASEE Annual Conference & Exposition.[3] Steif, P. S., & Dollar, A. (2005). Reinventing the teaching of statics. International Journal ofEngineering Education
Education, Jun. 2020. [Online]. Available: https://peer.asee.org/34764[3] R. Fry, B. Kennedy, and C. Funk, “STEM Jobs See Uneven Progress in Increasing Gender, Racial and Ethnic Diversity: Higher Education Pipeline Suggests Long Path Ahead for Increasing Diversity, Especially in Fields Like Computing and Engineering,” Pew Research Center, Apr. 2021. [Online]. Available: https://www.pewresearch.org/science/wp- content/uploads/sites/16/2021/03/PS_2021.04.01_diversity-in-STEM_REPORT.pdf[4] A. Peng, J. Menold, and S. R. Miller, “Nature Versus Nurture: the Influence of Classroom Creative Climate on Risk-Taking Preferences of Engineering Students,” in Volume 4: 20th International Conference on Design Education (DEC
● Reread or rewrite notes or class material ● Perform note recall by recalling sections of notes and concepts as a form of review ● Summarize chapter, section of notes or textbook Understand ● Using flashcards or quizzes to test your understanding of key theories or concepts ● Explaining a problem or concepts to a classmate(s) (in a study session, at office hours, in class, Piazza, discussion board, etc.) ● Solving practice problems with guidance and support from notes and examples Apply ● Represent a concept or problem in a different form (graphically, equation, diagrams, explanation, verbally
AC 2011-2054: SIGNIFICANT FACTORS IN SUCCESSFULLY MATCH-ING STUDENTS TO BIOMEDICAL ENGINEERING RESEARCH LABO-RATORIESJonathan Sanghoon Lee, University of Virginia Jonathan S. Lee is currently an undergraduate in Biomedical Engineering at the University of Virginia.Mr. Shing Wai YamWilliam H Guilford, University of Virginia Will Guilford is an Associate Professor of Biomedical Engineering at the University of Virginia, and the current Undergraduate Program Director. He received his B.S. in Biology and Chemistry from St. Francis College in Ft. Wayne, Indiana and his Ph.D. in Physiology from the University of Arizona. Will did his postdoctoral training in Molecular Biophysics at the University of Vermont under David
D L P W F Student M Installed Orifice(s) S D Expansion tank Mount pumps in the same horizontal plane Figure 1: Pump and Pipe System Schematic The system schematic shows the
the new measure of GTA‟s need assessment can be used as a reliable and valid toolacross institutions.IntroductionConcerns about recruitment and retention of students in engineering disciplines have resulted innumerous calls for reform in engineering education[1-3]. Regardless of the chosen response tosuch calls, it is clear that quality education requires the presence of instructors who have learnedto teach effectively. Unfortunately, because we often rely on “on-the-job” training, facultybecome skilled at teaching after receiving their doctoral degrees and “practicing” on students.For this reason, institutions commonly establish teaching effectiveness centers dedicated tofaculty development. Moreover, and of greater concern to us, much
advanced and efficient design methods, theywill be trained to see the need to implement and promote technological changes at their work placethroughout their careers as a lifelong practice. Page 22.511.9References:[1] VHDL International, “VHDL International University Usage Survey,” VHDL International, Santa Clara, CA, 1995.[2] S. Palnitlear, Verilog HDL. Englewood Cliffs, NJ: Prentice-Hall, 1996.[3] Fundamentals of Digital Logic with Verilog Design By Stephen Brown, Zvonko Vranesic, Published 2002 McGraw-Hill Professional[4] S. M. Sait, “Integrating UAHPL-DA systems with VLSI design tools to support VLSI DA courses,” IEEE Trans. Educ
education. Journal of Engineering Education,309-318.4. Halpern, D.F., Benbow, C.P., Geary, D.C., Gur, R.C., Hyde, J.S., & Gernsbacher, M.A. (2007). The science of sex differences in science and mathematics. Psychological Science in the Public Interest. 8(1), 1-51.5. Walters, A.M., & Brown, L.M. (2005). The role of ethnicity on the gender-gap in mathematics. In A.M. Gallagher & J.C. Kaufman (Eds.), Gender differences in mathematics: An integrative psychological approach (pp. 207-219). New York: Cambridge University Press.6. Catsambis, S. (1995). Gender, race, ethnicity, and science education in the middle grades. Journal of Research in Science Teaching, 32, 243-257.7. Margolis, J. & Fisher, A. (2002
Interesting 7.5 Very Interesting 10 Innovative Page 22.705.4Quality (in terms of technical feasibility)The technical feasibility of the concepts is measured using a quality metric developed by Shah et mal.32-33 Quality is measured as M qual = ∑ f j S qj , where m is the number of features in the design, j =1fj is the weight assigned for feature j, and Sqj is the quality score given for feature j. To calculatean average quality score, fj can be replaced with 1/m. Sqj is evaluated by one of the
offavorite heuristics. For example, “assume the solution is known and try to determine whatproperties it might have” is a commonly used heuristic in many fields (e.g., physics, engineering,etc.)Beginning in the 1970’s, Schoenfeld began teaching mathematical problem solving, and hestarted observing and videotaping students while they struggled to solve different mathematicalproblems. Schoenfeld identified four different components to successful mathematical problemsolving performance3-6, and they are: 1. resources – the mathematical facts and procedures possessed by the problem solver 2. heuristics – problem solving strategies or techniques, 3. control – ability to select and implement the proper resources and strategies, and 4. belief
could not be done unless a retention agreement wasestablished with other Committee on Institutional Cooperation (CIC) schools. This campuspolicy is in line with the Ithaka S+R recommendations: “What to Withdraw? Print CollectionsManagement in the Wake of Digitization.4” For our project, however, this policy meant that printmaterials we would have considered withdrawing must be maintained somewhere on campus.In our library, the only weeding criteria located consisted of general guidelines on what to sendto the now full storage facilities. Because weeding policies did not exist, we developed initialguidelines that we continued to modify as the project progressed and new reports becameavailable. From the beginning, our guiding principles were to
Postgraduate School Stephanie Enck is a research assistant at the Naval Postgraduate School’s Systems Engineering Depart- ment. She has a Bachelor of Science in Communication, sales and marketing management experience, and volunteered to assist Army families for several years before joining the SE department at NPS. Her research interests and project coordination efforts include M&S education, project management, and SE education. Page 22.461.1 c American Society for Engineering Education, 2011Developing Systems Engineering Graduate Programs Aligned to the Body of Knowledge and
junior and senior year engineering courses emphasize applications from the food andagricultural disciplines.In the late 1980’s, the traditional agricultural engineering program at North Carolina StateUniversity was experiencing declining enrollment. The department began a series of curriculumchanges to better address the changing needs of our clientele. The initial objective of thecurriculum changes was to enable students to select courses to show a concentration in an area ofagricultural engineering. The initial concentration areas included: biological, environmental/soiland water, food, and power and machinery. Under this curriculum, students selected six coursesfrom an approved list for each concentration area.In 1994, the state legislature
that you think undergraduates should be prepared for at the outset of their professional careers.Over ninety CoE alumni or alumnae responded to the email. The survey was not intended to be ascientific instrument. The organizers could determine the age, gender and engineering majorthrough alumni records, but elected not to do so. However, approximately one-half of therespondents did list their majors and years of graduation. All engineering majors wererepresented: chemical (7%), civil (32%) electrical/computer (27%) and mechanical (34%). Theyears of graduation ranged from the 1940’s to the 2000’s. The 1950’s, 1960’s, 1980’s and1990’s were the most prevalent years.Most of the respondents did not address the two questions directly
consists of a question and actual student response from a recentTransport Phenomena 1 final exam (the student was a junior):Gasoline is being pumped 17 miles through nominal 3-inch, schedule-40 steel pipe at arate of 9500 gal/hr. What horsepower will be required if the pump’s efficiency is about75%? ≠ M/ τ The average velocity in the pipe: > V ≅? ρR 2 4571856 therefore, > V ≅? 2 ? 8.9 x107 ft/s. ρ (0.1278) d >V ≅ τ
theory. An exampleis given by permission [4]. This student also used supercritical airfoil sections for the sweptwings. Problem statement, from Acierno [4] The drag of the equivalent body of revolution can be computed using Von Karman’s formula: (3.1) Where S(x) is the function describing the equivalent body of revolution in terms of normal cross-sectional area vs. location along the x axis. S can be derived from the oblique cross sections obtained by the intersection of Mach planes with the wing-body combination through (3.2) Where s is defined as the area intersected by the oblique Mach planes. As detailed in reference 5, S’(x
engineeringnotebook can be used as a reference on their test(s). The notebooks are the common 9-3/4" x 7-1/2", 80 – 100 page composition books carried by office supply store chains for about $2.50.Students typically paste a subset of lecture slides, reference tables, classroom examples, andstudent-developed decision trees in the notebooks. An advantage of the journal entry format isthat students may take ownership of the format and express difficult concepts through alternatetypologies. Figure 5 above, for example, demonstrates a very linear or analytical format,whereas students display information from a more conceptual framework. In addition, the course incorporates on-line spreadsheet templates for normal probabilityplots; continuous variables
example of such a recruiting video can be seen on our nonprofitYouTube channel: http://www.youtube.com/watch?v=Wq545270FDASCHOOL TYPE (X AXIS) VS. API (Y AXIS)D i me nsi o n of th e do t = T ea ch e r t o S tu de n t r at i o Page 15.501.5 Figure 1 The scatter plot compares schools by type – elementary (red), charter (green), continuation (blue), high(magenta) and middle (yellow). The user can identify high and low performing schools by looking at the position of the schools on the y-axis (API).Parent Involvement: Engaged Adults and Sustained CommitmentNumerous studies have established the link between parent
Engineering Education 94(1), 131-146.4. Dickrell, D. (2012). “Applying Distance Education Technologies to a Large-Scale Engineering Mechanics Course,” 119th American Society for Engineering Education Annual Conference Proceedings (San Antonio), session T518.5. Krute, L. (2012). “Distance Education Partnerships,” 119th American Society for Engineering Education Annual Conference Proceedings, session M614.6. Long, J.M., Joordens, M.A. and Littlefair, G. (2014). “Engineering Distance Education At Deakin University Australia,” to be presented at the IACEE 14th World Conference for Continuing Engineering Education, Stanford University, 24-27 June.7. Palmer, S, and Bray, S.L (2002). “On- and off-campus Student Persistence and Academic
higher education both in Australia andabroad.Bibliography[1] R. Barnett, G. Parry and K. Coate, “Conceptualising Curriculum Change”, Teaching in Higher Education, vol. 6, no. 4, pp. 435-449, 2001.[2] O. Hicks, “Curriculum in higher education in Australia – Hello?”, in Enhancing Higher Education, Theory and Scholarship, Proceedings of the 30th HERDSA Annual Conference [CD-ROM], Adelaide, 8-11 July, 2007.[3] R. S. Adams and R. M. Felder, “Reframing Professional Development: A systems Approach to Preparing Engineering Education to Educate Tomorrow's Engineers”, Journal of Engineering Education, vol. 97, no. 3, pp. 239-240, 2008.[4] K. Charmaz, “Grounded Theory”, Rethinking Methods in Psychology, J. A. Smith
for Engineering Education” S t u d e n t fa m ilia r ity w ith fa c u lty 40 35 FY1999 N =34 FY2000 N =26 FY2001 N =28 percent of students 30 A v e ra g e 25 20 15 10 5 0 0 1 2 3 4 >4 n u m b e r o f fa c u ltyFigure 2. Student familiarity with faculty after one year in the AE LC.Increased retention. Retention
solving process itself using problem space theory and how to use data miningto help us understand both the states and the transitions in the problem space.AcknowledgementsThis work was supported in part by the National Science Foundation under grant EEC-0230700.Bibliography[1] Berardi-Coletta, B., Dominowski, R. L., Buyer, L. S., & Rellinger, E. R. (1995). Metacognition and problem solving: A process-oriented approach. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21, 205-223.[2] Bjork, R. A. (1999). Assessing our own competence: Heuristics and illusions. In D. Gopher & A. Koriat (Eds.) Attention and performance XVII, Cognitive regulation of performance: Interaction of theory and