Education, 8 (7), 5.29. Gall, M. D., Borg, W. R., & Gall, J. P. (1996). Educational research: An introduction. (6th ed.). New York: Longman.30. Patton, M.Q. (1990). Qualitative evaluation and research methods. (2nd ed.). Newbury Park, CA: Sage PublicationsBiographical InformationSUSAN G. MILLER is an Assistant Professor in the Department of Computer Graphics Technology at PurdueUniversity. She received her Master of Science from Purdue University in 1997 and her Bachelor of Science fromThe Ohio State University in 1988. Prior to working in academia, Susan worked as a professional graphic designerfor Purdue, and spent time working for an advertising agency and an architectural firm.MARA H. WASBURN, Ph.D. is an
is collected consideringeight different educational goals. The course work is broken down into different educationalaspects, the eight portfolio aspects, which allow the educators to simultaneously monitordifferent skills that students should master as college graduates. The professor will assigndifferent grades for student’s writing skills, engineering design skills, IT skills, managementskills, economics skills, and skills in engineering science. Students’ achievements assessed thisway highlight potential problems in education, and alter the outcomes of a program as well.Most assessment experts agree that no single instrument is adequate and that the assessors needto use several assessment techniques simultaneously. Techniques like surveys
will be made more structuredfor future freshman classes.Future Plans Page 7.833.12 Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright 2002, American Society for Engineering EducationManaging Creativity in the ENGR4510 format will be taught as a regular 3-credit hour technicalelective in the spring of 2002; as 3-credit hour technical elective in the spring Intersession (withAlice M. Fairhurst); and as an intensive, 3-credit hour class for Masters students inTelecomputing at OU’s Tulsa campus.Managing Creativity is already open to non-engineering students
nanoengineered concrete. His research group includes a post-doctoral fel- low, four doctoral students, and four master ones from Bioengineering, MSE, and Civil and Environmental Engineering.Dr. Nayda G. Santiago, University of Puerto Rico, Mayaguez Nayda G. Santiago is professor at the Electrical and Computer Engineering department, University of Puerto Rico, Mayaguez Campus (UPRM) where she teaches the Capstone Course in Computer Engineer- ing. She received an BS in EE from the University of PR, Maya ©American Society for Engineering Education, 2023 Paper ID #40318Dr. Carla Lopez Del Puerto, University of
Paper ID #44576System Engineering a Better Mental Health SystemDr. Paul Lu, University of Southern California Viterbi School of Engineering. Depart of Industrial and SystemsEngineering Dr. Paul Lu is Senior Lecturer and Program Director Master of Science Engineering Managements at University of Southern California. Viterbi School of Engineering, Daniel J. Epstein School of Industrial and Systems Engineering. Dr. Lu has over 40 years of experience in the Aerospace Industry. He fo- cuses on the strategic implementation of technology and innovations, new product development, systems engineering, project and program management
analysis on the value of oral exams as early diagnostic tool (Kim et al., ASEE 2022). Minju is interested in designing assessments that can capture and motivate students’ deep conceptual learning, such as oral exams and the usage of visual representations (e.g., diagrams and manual gestures).Yu Li, University of California San Diego Brian has received his Master of Science degree in material science. He is currently continuing his edu- cation as a Material Science Ph.D. student. As a graduate student, Brian has spent the past three years as a teaching assistant in a variety of undergraduate courses. His research background focuses on medical devices and soft composite development.Dr. Carolyn L. Sandoval, University of
quo and assist in the university in its strategic goals. Christopher has is Bachelor of Arts in International Relations & History from William Jewell College, a Master of Public Policy from Pepperdine University, and a Doctorate of Education in Interdisciplinary Leadership from Creighton University.Mr. Kevin William Kuck, George Mason University Kevin W. Kuck is a dedicated and accomplished individual whose journey is marked by a passion for engineering, a flair for photography, and an unyielding commitment to academic excellence. Born and raised in Virginia, Kevin has always been driven to excel in both the technical and creative realms of his life. In 2019, Kevin graduated from Lake Braddock Secondary
researchers. The coding manual for qualitative researchers, 1-440.Secules, S., McCall, C., Mejia, J. A., Beebe, C., Masters, A. S., L. Sánchez‐Peña, M., & Svyantek, M. (2021). Positionality practices and dimensions of impact on equity research: A collaborative inquiry and call to the community. Journal of Engineering Education, 110(1), 19-43.Tillman, L. C. (2002). Culturally sensitive research approaches: An African-American perspective. Educational researcher, 31(9), 3-12. 17
for civil engineering education through an emphasis on reading and other autodidactic practices.Dr. Gregory J. Mazzaro, The Citadel Dr. Mazzaro earned a Bachelor of Science in Electrical Engineering from Boston University in 2004, a Master of Science from the State University of New York at Binghamton in 2006, and a Ph.D. from North Carolina State University in 2009. From 2009 to 2013, he worked as an Electronics Engineer for the United States Army Research Laboratory in Adelphi, Maryland. For his technical research, Dr. Mazzaro studies the unintended behaviors of radio-frequency electronics illuminated by electromagnetic waves and he develops radars for the remote detection and characterization of those
areas and specifies the performancestandards that students are expected to meet. Most states have developed their curriculumstandards in the areas of reading/ language arts, math, and science. Content standards define a clearoutline of the essential knowledge, skills, and understanding that students need to master and referto what should be taught in specific content areas at a specific stage [3], [4], [5]. Also, performancestandards were introduced to evaluate the level of mastery of the content that the student isexpected to attain. Performance standards transform the content knowledge into explicitquantifiable data and assess the proficiency levels that students are expected to demonstrate inproblem-solving progress.Standards-based
positive relation to student achievement and persistence inengineering. Engineering self-efficacy is a better predictor of achievement in engineering coursesand persistence in engineering as a career than prior accomplishments3. Understanding how 3 Proceedings of the 2024 ASEE North Central Section Conference Copyright © 2024, American Society for Engineering Educationstudents perceive themselves will allow educators to better tailor enactive experiences to growstudents’ self-efficacy. Another benefit, noted by Mamaril et al., is that students tend to beintrinsically motivated to master material when they
metal castingindustry. These tools enable learners to analytically understand complex systems; for example,working with the mathematics without the need of mastering formal equations. Still, simulationtechnology is not used to its greatest potential because of computational time and software cost.New casting simulation software can reduce simulation cost and turn-around time by orders ofmagnitude and make the use of simulation in daily practice a feasible reality. In addition, mold,melt and fill departments can all provide input and be involved in timely access to outputinformation, including the graphical results of simulation analysis. The improvements in castingsimulation technology over the decades have resulted in both higher quality
large community of multilingual and international students in engineering for whomEnglish may not be their first or primary language. To the extent thatcommunication-based instruction is offered or required of engineering graduatestudents, it is positioned as addressing a deficit in language skills; as a result, seekingor receiving writing instruction can be stigmatized rather than viewed as a necessarypart of scholarly and professional progress. Although such assistance can be helpful, itis often not geared to the specific disciplinary needs of engineering and sciencestudents. Additionally, U.S.-born English-speaking students are likewise in need ofsupport to master the forms, structures and expectations of academic communicationsin technical
Consortium. Margaret received her Bachelor of Science degree and Secondary Teacher Certification from Texas State University and Masters in Education from University of Houston. In addition, she has completed post- graduate studies at Texas A & M University.Dr. Wallace T. Fowler P.E., University of Texas, Austin Wallace Fowler holds the Paul D. and Betty Robertson Meek Centennial Professorship in the Department of Aerospace Engineering and Engineering Mechanics at the University of Texas at Austin, where he has been on the faculty since 1965. His areas of teaching and research are dynamics, orbital mechanics, spacecraft and space mission design, and aircraft flight testing. He is the recipient of several teaching
Paper ID #10917Mastery Learning in Engineering: A Case Study in StaticsDr. Shraddha Sangelkar, Pennsylvania State University, Erie Shraddha Sangelkar is Assistant Professor of Mechanical Engineering at Penn State Erie, The Behrend College. She received her Masters (2010) and Ph. D. (2013) from Texas A&M University. Her research vision is to develop the design science that equips engineers to innovate. She is also interested in improv- ing engineering education by enhancing the classroom experience.Omar M Ashour, Pennsylvania State UniversityDr. Russell L. Warley, Pennsylvania State University, ErieDr. Oladipo Onipede Jr
experiences abroad, research collaborations with colleagues abroad, dual and joint degree programs with partner universities abroad (e.g. University of Rhode Island Dual Degree Masters and Doctoral Programs, NSF PIRE and IREE projects).In addition, the programmatic components of such programs may significantly vary. Seeking toclassify the relative nature of one program versus another, Grandin and Maher define thefollowing parameters: (a) short-term versus long term; (b) English language or non-Englishlanguage; (c) degree of cultural exposure/immersion; (d) degree of curricular integration; (e)degree of cultural/linguistic preparation for experiences abroad; (f) degree of engineeringspecificity; (g) degree of institutional
the end of thesemester. When the data was returned, we analyzed the raw data to reveal the effectiveness ofour effort and to identify potential problems for further improvement.The anonymous survey consists of 10 sets of questions (totally, 63 questions and comments). Wefind the SDR term projects well received by the students, although the sample pool is small.Some sample student comments are given below: “By actually practicing the theory from Communication Systems, I am confident that I can apply this theory in practical radio design.” “I have realized and found what I want to do for my Masters!!” Page 24.947.13 “This confirmed what I
Innovation: Using Problems to Power Learning in the 21st Century. Singapore: Thomson Learning, , 2003.21. Johnson, D.W., Johnson, R.T., and Smith, K.A., Active Learning: Cooperation in the College Classroom, 2nd ed., Edina, MN: Interaction Book Company, 1998.22. McLeod, A., “Discovery and Facilitating Deep Learning States,” National Teaching and Learning Forum, Vol.5, no.6, 1996, pp.1-723. Lowman, Joseph, Mastering the Technique of Teaching, Jossey- Bass, San Francisco, Ca. 1984.24. Creed, Thomas, “Why We Lecture,” Symposium: A Saint John’s Faculty Journal, no.5: 1986: pp. 17-23.25. Verner, C.and G. Dickinson, “The Lecture: An Analysis and Review of Research,” Adult Education, no. 17, 1967, pp.85-100.26. Penner, Jon
in the design of methods for cross- institutional educational collaborations between higher education institutions in New Mexico.Mr. Timothy L Schroeder, University of New Mexico Tim Schroeder is the Project Director for the STEM Gateway Program at the University of New Mexico. In this capacity, he oversees student support programs designed to improve student achievement rates in STEM for Hispanic and low-income students. Prior to this role, Mr. Schroeder supervised student and academic support services at San Juan College in New Mexico and the University of Alaska Southeast in Sitka, Alaska. He earned his bachelor of arts degree in political science from Southwestern College and his masters of science in
courses. • Women’s (Masters L): A small women’s college of approximately 1,900 students in the Northeast with fifty majors, including three computer science and related degrees. This institution offers a liberal arts education for its undergraduates integrated with professional work experience. Class sizes are typically 6-12 students, with the largest class size around 20 for computer science, but up to 60 for Chemistry.Subjects and ProceduresOur study included interviews of faculty, interviews and focus groups involving students, studentsurveys, and classroom observations. Each of these components of the study are describedbriefly below.Surveys: In total, we surveyed 1498 students, the majority of whom were
previous terms, and in-classparticipation grades improved by 4 percentage points. These and other measures showedimproved understanding and engagement from incorporating carefully designed cooperativelearning activities that took advantage of student-owned electronics. Engineering educatorsshould be encouraged to find activities and problems that will benefit from students’ constantelectronic connectivity. In short, there are many benefits to allowing the students to use classtime to ‘play’ with their phones.i Richtel, M., Digitally Aided Education, Using the Students’ Own Electronic Gear, New York Times, March 22,2013.ii Emery, S. Factors for Consideration when Developing a Bring Your Own Device (BYOD) Strategy in HigherEducation, Masters
earned the BS and MS in Mathematics.Dr. Craig G Downing, Rose-Hulman Institute of Technology Craig G. Downing is Department Head and Associate Professor of Engineering Management at Rose- Hulman Institute of Technology. His teaching responsibilities are focused on delivering graduate-level instruction related to Operations and Quality Systems. His interests are rooted in Academic-Industrial partnerships, Process Improvement, and Action Research in Engineering Management. He is a certified Lean Six Sigma Master Black Belt. Page 24.1001.1 c American Society for Engineering Education, 2014
). The political career of a prototype: Visual representation in design engineering. Social Problems, 42(2), 274–299.5. Henderson, K. (1999). On line and on paper: Visual representations, visual culture, and computer graphics in design engineering. The MIT Press.6. Juhl, J., & Lindegaard, H. (2013). Representations and visual synthesis in engineering design. Journal of Engineering Education, 102(1), 20–50.7. Jonassen, D., Strobel, J., & Lee, C. (2006). Everyday problem solving in engineering: Lessons for engineering educators. Journal of Engineering Education, 95(2), 139–151.8. Litzinger, T.A., Meter, P.V., Firetto, C. M., Passmore, L. J., Masters, C. B., Turns, S. R., Gray, G.L., Constanzo, F., & Zappe, S. E. (2010
(experience). This workshop has been conducted five timeswith undergraduate engineering capstone classes – once with a mechanical engineering capstoneclass (May 2009) and four times with industrial engineering undergraduate capstone classes(September 2009, October 2010, September 2011, and September 2012). It has also beenconducted once with an industrial engineering graduate class of masters and PhD students inFebruary 2010.Phase 1: Plan (Comprehend)In phase 1, the workshop facilitator begins by briefly (~five minutes) sharing past experiencewith project management (story telling), highlighting its importance and ubiquity in engineeringpractice and in personal life. Students are asked to remember a time when they have beeninvolved in managing a
acceleration on an FPGA. Themotion estimation algorithm is the most computationally intensive part of MPEG encoding,typically requiring almost half of the computation time.10 Most of the MPEG-4 encoding wouldbe handled by a pair of soft processor cores implemented on the FPGA, similar to the proposalby Kumala et al.11 as illustrated in Figure 2. Here both the “Master” and “Slave” blocks wouldbe implemented by the soft processor cores. The critical computation in the motion estimationengine is the block matching routine that uses a Sum of Absolute Difference (SAD) calculation.A recent paper proposed a parallel adder tree for efficiently computing the values required by theSAD-based block matching algorithm.12 This student research project involved
Engineering at the University of Idaho with an emphasis in Stormwater Management and En- gineering Education. She received her bachelor of science in Mechanical Engineering from Gonzaga University and a master of science in Civil Engineering from Washington State University. She is also an adjunct member of the Civil Engineering Faculty at Gonzaga University where she teaches Stormwater Management and Senior Design.Dr. Anne Liu Kern, University of Idaho, CDA Anne L. Kern is an associate professor in curriculum/instruction, science education at the University of Idaho. She researches methodologies in education, specifically in science teaching and learning, science teacher development, and science integration in STEM
signal processing and relatedtopics.8–19 This support to educators teaching DSP includes a textbook (now in its second edition) and aweb site that specifically helps both professors and students (along with working engineers) master a varietyof real-time DSP concepts.20, 21When using real-time DSP in courses, we have observed that there can be an initial stumbling block, whichcan greatly impede student progress. Specifically, we have found that when students are first making thetransition from the more “comfortable” world of off-line signal processing (typically using MATLAB) tothe unfamiliar world of real-time DSP, they must quickly establish confidence in the hardware and softwareplatform before significant learning can begin. Without such
Mitigation Design ● ● Page 24.1067.10 Ground Support Design Requirements Verification Matrix ● Interface Control Documents ● Schedule ● Link Budget ● Silver Board Test Results ● Mass Budget ● Software ● Master Equipment List ● Structural Analysis ● Materials List ● System Functional Test Results ● Mechanical Drawing Package ● Thermal Analysis ● Mission OverviewThe UNP User Guide
students. If they are motivated, then they will take another action (move to a different outcome and learn it), which leads to another immediate feedback, etc.. It gets them into the Flow Channel discussed above. The engagement loop is presented in Figure 3. Page 24.1074.12 Figure 3: Engagement Loop (https://www.coursera.org/course/gamification)3. Progression Loops – Relates to the progression in ability from newbies to masters of the material that one is teaching as students move in the Flow Channel. The overall objective (in red in Figure 4) is presented to students; for example, by the