Conference Session

Industrial Engineering Division Technical Session 3

Collection

2015 ASEE Annual Conference & Exposition

Authors

Heriberto Garcia-Reyes, Tecnologico de Monterrey; Cesia de la Garza Garza

Tagged Divisions

Industrial Engineering

Paper ID #12775A Problem Based Learning Framework to Assess and Develop Soft Skills ina Linear Programming CourseDr. Heriberto Garcia-Reyes, Tecnologico de Monterrey Heriberto Garcia is a Professor in the Industrial and Systems Engineering Department at the Tecnologico de Monterrey, Campus Monterrey. He received his B. Sc. on Mechanical Engineering and M. Sc. on Industrial Engineering degrees from the Tecnologico de Monterrey (Monterrey, Mexico). He is PhD in Industrial and Systems Engineering from Florida International University. Professor Garcia is coauthor of the book ”Simulacion y analisis de sistemas con ProModel

Conference Session

Division for Experimentation & Lab-oriented Studies Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Brian M. Wood, Keysight Technologies; Alexander O. Ganago, University of Michigan

Tagged Divisions

Experimentation and Laboratory-Oriented Studies

theinstructor: (a) To a student, clear goals for advanced learning; (b) To a teacher, a fresh look atwhat makes students learn; (c) To both, they bring joy of achievement.In this report, a collaboration between Keysight Technologies, an industry leader in Test andMeasurement, and the University of Michigan, one of the premier engineering schools in theU.S., we share our experience at several levels: (i) Short summer camps for high-school students;(ii) Crash course of lectures and lab experiments on basics of EE; (iii) Description of studentachievements; (iv) Advanced studies for EE majors in the industrial setting; (v) Simulating acommercial DMM and measuring performance with Keysight BenchVue software.We believe that the experiments reported here

Conference Session

Student Motivation, Identity, and Resilience

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Timothy D. Ropp, Purdue University, West Lafayette; Stephen M. Belt, Saint Louis University

Tagged Divisions

Educational Research and Methods

aerospace manufacturing sector, change wasidentified as an expectation, with one being “…ready to go to Plan B if Plan A is not available,and then move on to consider Plans C and D, and perhaps Plan E if circumstances dictate”[64]. In terms of Big Data and automation technologies in aircraft the need for the humans toadapt more fluidly are significant in the sense of changing and working through times of suddendisorder and uncertainty [65], [66]. Traditionally structured views of “the round peg goes intothe round hole… that there is only one answer to a question… these structures are moremalleable in modern operations. than we may want admit…ultimately the big data messinessconcept requires the human being to change in order to tap into and harness

Collection

2017 Gulf Southwest Section Conference

Authors

David Ewing

2017 ASEE Gulf-Southwest Section Annual Conference A Comparative Analysis of Underrepresented Minority Groups Taking a New First Year Engineering Course (Extended Abstract) 1 David J. Ewing – The University of Texas at ArlingtonAbstractThe University of Texas at Arlington (UTA) enjoys a culturally diverse and rich student bodythat includes many underrepresented minorities and the university has been designated as aHispanic Serving Institute (HSI). As part of its mission, UTA has been seeking strategies toincrease retention of their engineering student population. A new first year engineering coursewas created at UTA in order to address this

Conference Session

Emerging Trends in Engineering Education Poster Session

Collection

2006 Annual Conference & Exposition

Authors

Jean Nocito-Gobel, University of New Haven; Samuel Daniels, University of New Haven; Michael Collura, University of New Haven

about half of the students.Considerable work remains to be done to further assess and refine the course. Information will besought from instructors who teach follow-up courses to determine how students who have takenEAS211 compare to students they have seen previously. Student feedback will be used to makeadjustments in the operational aspects of the course. Page 11.74.13REFERENCES1. Collura, M., Daniels, S., Nocito-Gobel, J., Aliane, B, Development of a MultiDisciplinary Engineering Foundation Spiral, ASEE 2004 Annual Conference, Curricular Change Issues, session 26302. Collura, M., Daniels, S., Nocito-Gobel, J. Project-Based

Conference Session

General Topics in Graduate Education

Collection

2013 ASEE Annual Conference & Exposition

Authors

Katy Luchini-Colbry, Michigan State University; Korine Steinke Wawrzynski, Michigan State University; Megan Shannahan, Michigan State University

Tagged Divisions

Graduate Studies

questionsincluded in the pre-experience survey.The post-experience survey was deployed at the end of July, at the conclusion of students’ Page 23.599.2summer research experience. This second survey repeated several of the questions from the pre-experience survey, which allowed us to compare students’ expectations with their experiences,and look for changes in students’ self-assessments of research skills over the 10-week program.Students were also asked about their interactions with their research mentors and the personaland professional outcomes of their summer experience. Appendix B includes a copy of the post-experience survey questions.About 160

Conference Session

Design Cognition I

Collection

2012 ASEE Annual Conference & Exposition

Authors

Jason A. Foster, University of Toronto; Patricia Kristine Sheridan, University of Toronto; Robert Irish, University of Toronto; Geoffrey Samuel Frost, University of Toronto

Tagged Divisions

Design in Engineering Education

Page 25.662.8university campus so that: (a) students could appropriately dispose of their devices, and (b) theuniversity’s cleaning staff would not have to contend with over-filled garbage cans that were notdesigned for the disposal of mechanical equipment.5 Assessment of Student LearningAs mentioned previously, the primary goal of gamifying the activity was to enhance studentfocus and engagement. Anecdotal evidence from the classroom instructors suggests that this goalwas largely met. However the activity also has associated learning objectives, and the investmentof effort to gamify the activity needs to have a payoff in terms of those objectives.In the absence of a formal, longitudinal, and experimental approach to assessing changes

Conference Session

Incorporating Innovative Technologies into the Curriculum

Collection

2011 ASEE Annual Conference & Exposition

Authors

Michael J. Kozak, University of Dayton

Tagged Divisions

Manufacturing

, Walker H. and Krathwohl, David R., Taxonomy of Educational Objectives, Handbook 1 Cognitive Domain David McKay Company, Inc. New York. (1956).3. Michaelson, Larry K., Knight, Arletta B., Fink, L. Dee, Team-based Learning: a transformative use of small groups Praeger Publishing, Westport CT. (2002).4. Hamer, O. Lawrence, The Additive Effects of Semistructured Classroom Activities on Student Learning: An Application of Classroom-Based Experiential Learning Techniques Journal of Marketing Education April 2000 vol. 22 no. 1 25-34 Page 22.1435.7

Conference Session

Interdisciplinary Integration and Sociotechnical Thinking: The Big Picture

Collection

2023 ASEE Annual Conference & Exposition

Authors

Stephen Fernandez, UMass Amherst; Sarah Aileen Brownell, Rochester Institute of Technology (COE); Ankita Kumar; Bailey Bond-Trittipo, Florida International University; Zoii Arrianna Henry; Corin L. Bowen, California State University, Los Angeles

Tagged Topics

Diversity

Tagged Divisions

Liberal Education/Engineering & Society Division (LEES)

, NY.[22] Highlander Research and Education Center and Gabriela Hurtado-Ramos (artist), Methodologies en Color (1), https://highlandercenter.org/our-story/mission/ (accessed Feb. 28, 2023).[23] D. Boyd, Under the Radar: Popular Education in North America, A White Paper, COMM-ORG Papers, vol. 18, 2012, https://comm-org.wisc.edu/papers2012/boyd.htm (accessed Feb. 28, 2023).[24] A. Frausto Aceves, B. Torres-Alave, and S. Tolbert, “On love, becomings, and true generosity for science education: honoring Paulo Freire,” Cultural Studies of Science Education, vol. 17, pp. 217-230, 2022, https://doi.org/10.1007/s11422-021-10098-w.[25] Medibank, “Uncle Bob Randall,” Medibank, Jul. 15, 2016, https://www.medibank.com.au

Conference Session

NSF Grantees Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Amber Simpson, State University of New York at Binghamton; Adam V. Maltese, Indiana University Bloomington; Jing Yang, Indiana University Bloomington ; Jungsun Kim, Indiana University Bloomington; Peter N. Knox, Binghamton University (State University of New York); Soo Hyeon Kim, Indiana University-Purdue University Indianapolis; Nikeetha Farfan D'Souza, Indiana University Bloomington

Tagged Topics

NSF Grantees Poster Session

engineering kits through a tablet andSibme, a video-app created for professional learning, coaching, and collaboration.Aim 1The purpose of the first aim was to examine features of the program that best supportparticipation and implementation of engineering design practices among caregivers and children.To date, the areas of focus to address this aim include (a) identification of a problem andbrainstorming generation process, (b) patterns of interactions between caregivers and childrenduring the monthly sessions, (c) engagement with material and tangible resources, (d) STEMmoments of caregiver-child interactions while participating in the engineering kits, and (e) use ofdiscussion prompts from the engineering kits. Findings from each will be briefly

Conference Session

Energy Curriculum Advancements

Collection

2006 Annual Conference & Exposition

Authors

Craig Somerton, Michigan State University; Andre Benard, Michigan State University

Tagged Divisions

Energy Conversion and Conservation

this apower point presentation is made that shows the students the various technologies that are usedto harness the energy source. Finally, predictive models for these technologies are presented andsome simple examples are worked. This approach does an excellent job of addressing thelearning objectives for each energy source. The power point presentations and the predictivemodels presented may be found at the course’s web site: http://www.egr.msu.edu/~somerton/AEnergy/For ocean energy the following learning objectives have been set: a. Students are able to understand the nature of the ocean as an energy source b. Students are able to understand and evaluate different types of ocean energy sources

Conference Session

Tips of the Trade: Best Practices, Expanded Advice, and Strategies for Implementable Course Improvement

Collection

2016 ASEE Annual Conference & Exposition

Authors

J. Blake Hylton, Ohio Northern University; Heidi A. Diefes-Dux, Purdue University, West Lafayette

Tagged Divisions

New Engineering Educators

after %.0f iterations.',x,count) What values of x and count will be displayed by the fprintf statement? A. x = _______________ ANS: 16 B. count = ____________ ANS: 4 Objective: Create and interpret repetition structures No Evidence Partially Achieved Fully Achieved Score: 0 pts Score: 4 pts Score: 8 pts  x neither 8 nor 16  Answers are for previous iteration (x=8,  x = 16, count = 4  count neither 3 count=3) nor 4  Either x = 16 OR count = 4, but not bothOn the other end of the complexity spectrum, some questions involved a much greater degree ofeffort, both in

Conference Session

Simulations and Virtual Learning

Collection

2024 ASEE Annual Conference & Exposition

Authors

MEHMET Nasir SARIMURAT, Syracuse University

Tagged Divisions

Computers in Education Division (COED)

: dϕ A (ρϕu) A|B e = Γ A|B e + Sϕ (24) dxwhich can be written as: dϕ dϕ ρu (ϕB − ϕe ) = Γ − + Sϕ ∆x (25) dx B dx eAnalyzing each term in the equation above, ϕB is known since ϕB = ϕL , and ϕe can be calculatedas the average of ϕ at the two

Conference Session

Active Learning and Undergraduate Research in ET

Collection

2016 ASEE Annual Conference & Exposition

Authors

Jyhwen Wang, Texas A&M University; Ying Zhang, Texas A&M University

Tagged Divisions

Engineering Technology

. In a test, I prefer problems with only one correct answer. [1] x B. Problems with multiple correct answers do not bother me. [5]Q2 A. I like to guess (educated guess) and check different potential x solutions. [1] B. I like to analyze problems to get exact solutions. [5]Q3 A. I prefer to use fixed procedures to solve problems. [1] x B. I like to use learned concepts to come up with solutions. [5]Q4 A. Choosing among various factors and use a procedure to x determine the viability of a solution is something I enjoy. [1] B. When solving a problem, I like to follow a methodical

Conference Session

Computing and Information Technology Division (CIT) Technical Session 4

Collection

2023 ASEE Annual Conference & Exposition

Authors

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

will explain the reason behindthis data range in the next section.(iv) In Fig. 5 (a), we can see different options available under the “Blocks” section. Navigate tothe Output code category, then drag out a “print to serial monitor” block and place it just beforethe serial block that is already in the program. A student can change the default text to label theSerial data, such as “Sensor Value: ”, and from the dropdown menu either choose to print with orwithout a new line. Please note, in case of Fig. 4, the default block code has been used, where anumber is printed on the serial monitor. In contrast, after the code block configuration as shownon 5 (b), the serial monitor output looks similar to Fig. 6. A student can stack similar serial

Conference Session

Questions of Identity

Collection

2006 Annual Conference & Exposition

Authors

William Jordan, Baylor University

Tagged Divisions

Liberal Education

Page 11.142.8such a fashion that the welded joint can be cold reduced on the rolling mill. This was done aspart of your work, but it was done on the evening shift and none of your supervisors are aware ofit. Should you:(a) Patent your technique and make a profit out of it.(b Patent your technique and assign patent rights to your company.(c) Tell your supervisor and let him decide what else to do with the idea.An engineer using a utilitarian approach would examine whether or not the company had aformal intellectual property policy that had been agreed to by all parties. If there was no writtenpolicy, he might very well try to do option (a) and make a profit at the expense of the company.We will examine all three options using a

Conference Session

ET Interdisciplinary Education

Collection

2002 Annual Conference

Authors

P. James Moser; Biswajit Ray

4 Composition II or equivalent 3 3 0 0 3 Group A or B elective 3 3 0 0 3 Group A or B elective 3 3 0 0 3 16 18 0 0 16 Semester III, Fall 58.221 Manufacturing Processes 4 6 4 6 0 53.126 Analysis II 3 3 0 0 3 54.212 General Physics II 4 6 4

Conference Session

New and Innovative Ideas

Collection

2012 ASEE Annual Conference & Exposition

Authors

Peter Thomas Malcolm, University of Virginia; Jennifer L. Chiu, University of Virginia; Edward Pan, University of Virginia; M. David Burghardt, Hofstra University

Tagged Divisions

K-12 & Pre-College Engineering

. (2003). Problem-based learning meets case-based reasoning in the middle-school science classroom: Putting learning by design™ into practice. The Journal of the Learning Sciences, 12,(4), 495-547.15 untambekar, S., Stylianou, ., bscher, R. ( 00 ). Improving navigation and learning in hypertext environments with navigable concept maps. Human-computer Interaction, 18, 4, 395-428.16 Puntambekar, S., Stylianou, A., & Goldstein, J. (2007). Comparing classroom enactments of an inquiry curriculum: lessons learned from two teachers. Journal of the Learning Sciences, 16,(1). 81-130.17 Chinn, C. A., & Malhotra, B. A. (2002). Epistemologically authentic inquiry in schools: A theoretical

Collection

2001 Annual Conference

Authors

Christopher T. Field; Cameron Wright; Thad Welch

Session 2793 A Signal Analyzer for Teaching Signals and Systems Thad B. Welch and Christopher. T. Field U.S. Naval Academy Cameron H.G. Wright U.S. Air Force Academy AbstractMusic and computers continue to fascinate today’s students. This powerful and sometimes addictingcombination can also provide for a tremendous opportunity to enhance the understanding of the timeand frequency domain relationships routinely discussed in a Signals and

Collection

2001 Annual Conference

Authors

George DeLancey

Session number 1608 A Unified and Quantitative Approach to Assessment George B. DeLancey Chemical Engineering Program Stevens Institute of TechnologyI. IntroductionA description is given of the assessment system that is being implemented at the School ofEngineering at Stevens Institute of Technology for outcomes based assessment. The systemmeets Criteria 2, 3, and 8 of ABET (see Appendix I). The discussion is centered on the unifiednature of the system, the quantitative features arising out of outcomes based grading, calleddistributed grading

Collection

2004 GSW

Authors

David G. Johnson; Jessica D. Sanders

= ⎜ + ⎟ (segment B) (4) 4 θ ⎛ A − θ B ⎞ θ ⎛ B − θ C ⎞ ⎜⎜ tan⎜ ⎟ tan⎜ ⎟ ⎟⎟ ⎝ ⎝ 2 ⎠ ⎝ 2 ⎠⎠Normal contact force for a segment: mv 2 N= + mg cos θ (5) ρEnergy Balance for a segment: T1 + V g1 + Ve1 + U 1− 2 = T2 + V g 2 + Ve 2 (6a) Ve1 = Ve 2 = 0 (6b) Proceedings of the 2004 ASEE Gulf-Southwest Annual Conference 7 Texas Tech University

Conference Session

Disciplinary Engineering Education Research – Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Lorena S. Grundy, Tufts University; Milo Koretsky, Tufts University

Tagged Divisions

Educational Research and Methods Division (ERM)

multiple-choice selection but also their explanation and response to follow-up questions—to a conceptualstatics question compare across diverse institutional contexts? To address this overall question,we ask more specifically: a. How are student correctness, confidence, and their metacognitive reflections on the question related to their institution? b. What do the student responses suggest about their epistemological frames in learning statics? MethodsQuestion AdministrationFor this study, we selected one concept question which was administered via the ConceptWarehouse [29] (ConcepTest #4606), as shown in Figure 1. The question was delivered to 241students at six

Conference Session

Engineering Physics and Physics Division Technical Session 1

Collection

2022 ASEE Annual Conference & Exposition

Authors

Evan Lemley, University of Central Oklahoma; Sezin Kadioglu, University of Central Oklahoma

, Eric Jones, Robert Kern, Eric Larson, CJ Carey, İlhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E.A. Quintero, Charles R Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, and SciPy 1.0 Contributors. (2020) SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python. Nature Methods, 17(3), 261-272. 9. Kluyver, T., Ragan-Kelley, B., Fernando P'erez, Granger, B., Bussonnier, M., Frederic, J., … Willing, C. (2016). Jupyter Notebooks – a publishing format for reproducible computational workflows. In F. Loizides & B. Schmidt (Eds.), Positioning and Power in Academic Publishing: Players

Conference Session

NSF Grantees Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Aly A. Farag, University of Louisville; Asem Ali, University of Louisville; Islam Alkabbany, University of Louisville; James Christopher Foreman, University of Louisville; Tom Tretter, University of Louisville; Marci S. Decaro, University of Louisville; Nicholas Carl Hindy, University of Louisville

Tagged Topics

NSF Grantees Poster Session

/her tablet at non-instructionaltime without being mentally present, they were assumed behaviorally disengaged. Table 1: Dictionary of tokens (a) (b) Figure 5: Engagement levels of the 11 students during a lecture.Percent engagement level of the 11 students during a lecture is shown in Fig. 5 (b). At thebeginning of the lecture most students were engaged. At the middle of the lecture there was aslight drop off in the students’ engagement, due to some students partially disengaged. Later, atthe end of the lecture, half of students drop off.3.3. Behavioral engagement resultsThe behavioral engagement model is developed to estimate

Conference Session

Student Learning

Collection

2009 Annual Conference & Exposition

Authors

Michael Prince, Bucknell University; Margot vigeant, bucknell; Katharyn Nottis, Bucknell University

Tagged Divisions

Educational Research and Methods

as they approach surface 1 b) The person will feel warmer as they approach surface 2 c) The person will feel the same warmth in both cases. d) Not enough information givenStudent results indicated that this question was quite difficult, with only 25% of studentsidentifying the correct response. In addition, the question was a poor discriminatorbetween students who did well on the instrument and those who did not, with adiscrimination index that was actually negative (-0.08). Because of this, the question wassignificantly revised in Phase 2, as shown below. Page 14.469.7Radiation Question: Phase 2A person walks toward two diffuse grey

Conference Session

Student Evaluation in Design Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Krista M Kecskemety, Ohio State University; Bob Rhoads, Ohio State University; Clifford A. Whitfield, Ohio State University; Jacob T. Allenstein, Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

Rhoads, Ohio State University Robert B. Rhoads currently functions as the Multidisciplinary Capstone Program Coordinator for the Engineering Education Innovation Center at Ohio State University. He has a Bachelor of Science in Mechanical Engineering from Ohio State University and Masters in Business Administration from Regis University. Prior to his involvement as the program coordinator, he had over 12 years of experience in industry with roles that varied from process engineering to sales engineering to design engineering. He has also functioned as an engineering technology faculty for three years at Zane State College in Zanesville, Ohio, where he developed and taught courses that included CAD, solid modeling

Conference Session

Innovations for the Senior Year of the ME Curriculum

Collection

2007 Annual Conference & Exposition

Authors

Steven Trimble, Arizona State University; Ronald Bengelink, Arizona State University; Valana Wells, Arizona State University

Tagged Divisions

Mechanical Engineering

Continental (Senge et.al., 1995 and Porter, 2001).First Semester ImplementationThe first semester for this new course was Fall of2006. It was offered as an elective for seniors.(Next year, it will be a required course forgraduation.) There were two sections. Section Ahad 29 students while Section B had 23 students.Each course developer taught a section. A teachingassistant from the English Department was used byboth sections to grade the written papers relative togood writing principles. The papers were alsoreviewed by the instructors for content. Figure 4. Team presentationThe students appeared to enjoy the course and on renewable energythere were several remarks that the

Conference Session

Emerging Trends in Engineering Education Poster Session

Collection

2006 Annual Conference & Exposition

Authors

Margot Vigeant, Bucknell University; Richard Moore, Bucknell University

, and additives. After the samples are allowed to dry, theappearance, apparent elasticity, ductility, foam structure, resilience, hardness, strength, and anyother relevant material characteristics can be assessed. A summary table of formulations, mixingprotocols, and resulting properties for all samples is tabulated by the instructor and shared withthe class. A B CFigure 2: A: Student working on latex production; B: Typical rubber products; C: Studentteam experimenting with latex formulation.Meanwhile, the goal of Section 2 is to “reverse engineer” a sneaker. That is, by measuring theproperties of existing “good” and “bad” sneakers, students are then able to develop the

Conference Session

Learning by Doing

Collection

2010 Annual Conference & Exposition

Authors

Deborah McAvoy, Ohio University

Tagged Divisions

Civil Engineering

AC 2010-1193: A REPEATED EXPOSURE EXPERIMENT TO IMPROVEKNOWLEDGE RETENTIONDeborah McAvoy, Ohio University Deborah McAvoy is an Assistant Professor in the Civil Engineering Department within the Russ College of Engineering and Technology at Ohio University. Her research interests are in the field of traffic engineering, specifically driver behaviors, human factors, highway safety and traffic operations. Page 15.81.1© American Society for Engineering Education, 2010 A Repeated Exposure Experiment to Improve Knowledge RetentionIntroduction and BackgroundImproving

Conference Session

Instrumentation Poster Session

Collection

2002 Annual Conference

Authors

Robert Angus; Thomas Hulbert

Session 2559 Preparing a Virtual Engineering Environment Laboratory Instructional Package Thomas E. Hulbert, Robert B. Angus Northeastern University; Boston, MA 02115IntroductionThis paper will describe the development of a process and techniques for students and technicalpersonnel to learn and apply test and measurement systems. The courses, outlines, lessons,projects, and instructional materials were developed by two faculty members. The two of us havea combined background of more than seventy-five years of teaching and industrial experience.During the