, and the Nature of Science and History of Science in science education.Melissa Rummel, University Corporation for Atmospheric Research Educational DesignerDr. Jeffrey B. Bush, University of ColoradoJennifer Jacobs, University of Colorado Boulder Dr. Jennifer Jacobs is an associate research professor at the Institute of Cognitive Science at CU-Boulder. Dr. Jacobs has served as the PI or Co-PI on a variety of funded studies spanning mathematics and science education, with a particular focus on the development of curricular and professional learning resources for teachers and their impact on classroom instruction and student learning.Mimi Recker, Utah State UniversityMr. John Daniel Ristvey Jr., University Corporation for
; systems engineering from Virginia Tech, and his B.S. in industrial engineering from Clemson University.Dr. David B Knight, Virginia Polytechnic Institute and State University David B. Knight is an Associate Professor and Assistant Department Head of Graduate Programs in the Department of Engineering Education at Virginia Tech. He is also Director of Research of the Academy for Global Engineering at Virginia Tech, and is affiliate faculty with the Higher Education Program. His research tends to be at the macro-scale, focused on a systems-level perspective of how engineering educa- tion can become more effective, efficient, and inclusive, tends to be data-driven by leveraging large-scale institutional, state, or national
Paper ID #21948Sustaining a Study Abroad Program at Scale: What Motivates Faculty Mem-bers to Engage in Such Programs?Dr. David B. Knight, Virginia Tech David Knight is Assistant Professor and Assistant Department Head for Graduate Programs in the De- partment of Engineering Education at Virginia Tech. He is also Director of International Engagement in Engineering Education and affiliate faculty with the Higher Education Program at Virginia Tech. His research tends to be at the macro-scale, focused on a systems-level perspective of how engineering edu- cation can become more effective, efficient, and inclusive.Dr. Holly
broader effects of their work. Her current re- search interests include pedagogical interventions in the classroom, including how to best teach technical and professional skills.Dr. Rennie B. Kaunda , Colorado School of Mines Dr. Rennie Kaunda is an Assistant Professor in the Department of Mining Engineering at Colorado School of Mines, and a licensed Professional Engineer in the State of Colorado. Prior to joining academia, Dr. Kaunda spent more than 7 years in the mining industry. Dr. Kaunda’s areas of expertise are mining geotechnics, including rock mechanics and hydrogeology.Dr. Elizabeth Holley, Colorado School of Mines Elizabeth Holley is an assistant professor in the Department of Mining Engineering at Colorado
-Infant Floor at Cooper Hospital and is a Resident Assistant at Drexel University for freshman halls. She enjoys camping, hiking, kayaking and spending time with her two Labrador Retrievers and her family.Rishiraj B Mathur, Drexel University, Department of Mechanical Engineering & Mechanics Rishiraj is a graduating senior B.S. student studying Mechanical Engineering and Mechanics. He has been part of the NASA RASC-AL forum of 2015 and led the team for Drexel to present their ideas pertaining to Earth independent habitats and Mars colonization. He has also done research on Dye-Sensitized Solar Cells with the Drexel Smart House and is currently redesigning the structure of the Drexel Ride, a motion simulator housed
pedagogical methods to teach core engineering courses and leveraging technology to enhance learning experiences. Nick holds a BS and MS in Mechanical Engineering and has eight years of engineering experience. He also has four years of experience as an adjunct instructor at the community-college and research-university level.Craig Zywicki Craig is a Data and Assessment Analyst in the Office of Institutional Research, Assessment, and Effec- tiveness at Purdue University.Dr. David B. Nelson, Purdue University, West Lafayette c American Society for Engineering Education, 2016 Paper ID #15763 David B
. His work has been published through the American Society for Engineering Education (ASEE) and the Institute for Electrical and Electronics Engineering (IEEE); he is an active member of both organizations. He holds a PhD and BS in Electrical Engineering from the University of Kentucky. ©American Society for Engineering Education, 2024 Paper ID #42797Dr. B ”Grant” Grant Crawford P.E., Quinnipiac University Grant Crawford, PhD, P.E., F.ASEE, Colonel (retired) U.S. Army, is a Professor of Mechanical Engineering for the School of Computing and Engineering at Quinnipiac University. He is a former Director of
∑ cj xj (1) jsubject to: ∑x j ≤b (2) j x j = {0,1,2,3,...} (3)where xj represents the number of contact hours of topic j, cj is the worth or value of topic j and bis the total number of contact hours available. The decision variable xj takes on a value greaterthan zero if the topic is selected to be in the syllabus.The goal of the objective function, (1), in this model is to maximize the value of the selectedtopics. The topics are subject to constraints (2) and (3). The second constraint is the "knapsack"constraint which states that the total number of contact hours of topics cannot exceed the allottednumber of
said that other courses did not address “sustainabilitymuch less the social/political/economic impacts of the work.” Figure 3: Average scores, measured on a 5-point Likert scale for how well the class inspired discussion (a.) and how comfortable students were working in groups (b.)In addition to Likert questions, students were solicited for open-ended feedback about the course,including how interdisciplinary it felt, how it was similar or different from other courses, andwhat aspects could be improved. Students responded that the course was different than othercourses due to the diverse cohort of students, the focus on working in groups mixed in major andyear, the diverse set of course topics, and the balance of some familiar and
• The evaluation • Post Evaluation, responses to evaluators’ comments A. Sinclair Community College: Sinclair Community College is a public, comprehensive two-year college located in downtown Dayton, Ohio. The college has a long history of serving the community beginning in 1887 when one room was set aside for an evening school at the Dayton YMCA. Since that first year of operation the school has steadily matured and today serves over 24,000 students each quarter, on a campus of 21 buildings as well as remote sites. Sinclair is a member of the League for Innovation in the Community College and a Vanguard Learning College. B. Engineering and Industrial Technologies Division
” work/study situation; therefore, it makes sense to makecourses available to these students.However, there are disadvantages associated with online learning few of which are: (a) in thecomputer-mediated learning social presence consisting of vocal tones and/or facial expressionmay be reduced, therefore, the instructors have to rely on students to communicate his/herchallenge in learning the material, (b) online learning requires students to exhibit higher level ofself-regulated behavior than the students in a traditional classroom setting, and (c) currentpopulations taking these online courses consist of traditional undergraduates who typicallyrequire and expect more structure and instruction2.Social cognitive theories posit that it is possible
) b) c) d) Figure 1. Sample of images with surfaces that exhibit specular (a & b) and diffuse (c & d) reflectance properties. The images in the first row are the original images. The images in the second row are the segmented images. a) b) c) Figure 2. Sample image from the Multi-PIE dataset. [25] Column a) is the original image, b) the segmented shadow region, c) the enhanced image.IV. CONCLUSION We have presented a real-time reflectance model capable of segmenting shadows in an image with a surface material that exhibits specular
faculty members and twoeducation doctoral students.The project includes multiple data Ssources, including: (a) Participant observation – During 2016-2017, the research team conducted more than 45 hours of participant observation in the five sections of the pre-calculus workshop. Members of the research team wrote field notes using an observation protocol focusing on the interactional patterns, tools, and teaching/learning practices in the workshop. (b) Focus groups – In spring 2017, the research team conducted two focus groups: one with pre-calculus TAs and one with representatives from the math department (faculty and pre-calculus program coordinator). The focus groups lasted one hour and involved
skills were to be used in the project todetermine what materials would best be used for building the casing for electronics andmounting the structure. After evaluating the functional requirements of the product, the studentsfrom this class performed a market survey and decided what annual quantity was appropriate tomanufacture. Based on the manufacturing quantities the students decided: a) type ofmanufacturing strategy for the product and manufacturing method to be used; b) a layout of themanufacturing area; c) the machines and equipment to be used in the plant; d) the productioncontrol techniques; e) an estimate of unit cost of production and the market price of the product;and, f) an economic analysis to justify the unit cost of the product
Facility B 100 Facility A 80 Elevation, ft 60 X Y (ft) (ft) 40 0 87 150 55 210 25
. Page 26.136.5 (a) (b) (b) (d)Figure 5: PSpice simulations for the circuit of Figure 4 with R2=3.9K, L1=22C1=47F,and varying R1 to: (a) R1=0.1; (b) R1=0.5; (c) R1=1; (d) R1=3.At this stage usually the lab students are elated in having solved the “puzzle” of the contrastbetween theoretical or simulated calculations and the actual circuit response as measured in thelab. This is also usually the time when suggestions, comments and relevant interesting questionsstart to freely flow from different students in a spontaneous braistorming sessions.“Wow! Can we actually find the serial resitance in
are presented with four plants, each with five sets of performance specifications,or 20 design challenges. They may use the controller representations shown in Table 1. Controller Representation Number which may be used. Continuous time, transfer function 7 Continuous time state space control Discrete time transfer function Discrete time state space controlTable 1. Controller representations. System Design Method Controller Structure Representation Continuous a. PI d. Phase-Lead a. Root Locus Transfer b. PD e. Phase-Lag
Review, vol. 73, no. 2, pp. 59-67, 1995.[7] G. M. Quan et al., "Designing for institutional transformation: Six principles for department-level interventions," Physical Review Physics Education Research, vol. 15, no. 1, p. 010141, 2019, doi: 10.1103/PhysRevPhysEducRes.15.010141.[8] A. H. Van de Ven and K. Sun, "Breakdowns in implementing models of organization change," Academy of Management Perspectives, vol. 25, no. 3, pp. 58-74, 2011, doi: 10.5465/amp.25.3.zol58.[9] J. L. Buller, Change leadership in higher education: A practical guide to academic transformation. San Francisco, CA: John Wiley & Sons, 2015.[10] M. Uhl-Bien, R. Marion, and B. McKelvey, "Complexity leadership theory: Shifting
? (Nursing, Paper Science, Computer Science for example in the School of Engineering and Applied Science). Will such an inter- disciplinary approach be beneficial to the success of the project ? Do we need different equipment or instrumentation facilities? Do we need experts from industry or commercial establishments? 3. Conduct an extensive background search that focuses on salient features of the main project and address the key issues that may arise as the project unfolds. Always have a “Plan B.” Be prepared to handle contingencies. You may be very diligent in your design, planning and implementation; regardless, things may go wrong. (Example: Bridge Building Service Learning
are summarized in tables A.1 and B.1 in appendix Aand B, respectively. Four hypotheses were presented that should be analyzed based on theproposed indicators. Although the proposed indicators for each curriculum are not similar,they imply aspects of acceptance/perception of the methodology applied to the study plan. Regarding hypothesis 1: Students in the 2019 plan (Tec21) who take a 5-week UF rated a higher average of 9.6699 than the 2011 plan (Tec20) with an average of 9.6177. However, the standard deviation for (Tec21) was higher (0.3178) than for the (Tec20) plan (0.1457). In other words, and applying the central limit theorem, on average, students in 5-week blocks of Tec21 accept continuous evaluations more; however, there
course. Research into creating 20,21 and evaluating 22 concept maps canprovide guidance on creating one for other courses. Exam Question: A program in the (non-existent) programming language Eek, whose syntax looks a lot like C. This is a good program and it runs correctly. int a(int z, int y) { void main() { print(’a’) int w, x, y, z, t, u, v return y - z + 2 w = b(3) } x = a(w, 3) int b(int x) { y = b(x) print(’b
presents a studentworking for this labwork. A P-3 Wheatstone-bridge strain indicator has been used to measurethe strain. Based on the strains indicated by the three strain gages the students sketched the stress Page 12.83.4and strain diagram around the discontinuity for the specific PMMA bar and calculated the stress(strain) concentration factor. D 2R 2a a) b) R R a a
possess specified basic personal skills, technical skillsand business professional skills, b) compare the skills identified as important in this study withthe SME competency gaps listing, and c) use the results of this study as one criteria to revisecurriculum and update a laboratory in the IMS Sequence at ISU. The methodology for this project consisted of randomly selecting small and mid-sizedIllinois manufacturers from the 2004 Illinois Manufacturers Directory. The participants in thestudy completed a survey consisting of questions with regard to demographics, basic personalskills, technical skills, and business/professional skills. A 5 point likert scale was used. The results of this study are being used to help modify a
solving and theimportance of fundamentals.The integration of science, math and engineering is not a new concept. In a study performed bythe Board of Engineering Education under the National Research Council several key pointswere listed:7 a) Undergraduate education must include exposure to “real” engineering that is interdisciplinary, hands-on, and industrially relevant. b) A strong knowledge of how to learn must be instilled during the educational process. c) More of an emphasis on engineering design (creative synthesis) while maintaining the engineering science (analysis)Integrated labs have received much attention and research and integration is part of the newengineering education paradigm where subject matter, concepts
discussedabove. Specifically, the ability to work in teams, the ability to understand the uses of scienceand technology within a larger economic and societal context, and the ability to communicateeffectively in a variety of team circumstances, all indicate the substantial potential forEngineering Criteria 2000 to be addressed through "A Lab for All Reasons, A Lab for AllSeasons"Acknowledgements The support of the NSF SUCCEED engineering education coalition, and of NorthCarolina State University throughout the last seven years of experiences with this laboratory inits multiple formats, is gratefully acknowledged.Bibliography1.(a)Ollis, D. F., “Freshman Laboratory for Product and Process Engineering’, SUCCEED,Spring 1994, pp.8-9.1.(b) Beaudoin, D
student version of Matlab, which is version5.3. This student version of Matlab has the same functionality as the standard version.The first topic that was discussed in the course was complex numbers. Many topics in thiscourse require the students to have a complete understanding of complex numbers. Thisunderstanding includes conversion of polar to rectangular forms, rectangular to polar forms, andadding, multiplying and dividing complex numbers. Figure 1 shows a Mathcad worksheet thatwas provided to the students by the author, to help practice some of their skills in complexnumber. Fig. 2 shows a related Matlab command window. A 5 5j B 2 3j C 6 j D 2 5j A = 0.517 1.207i D B. C = 3.793 1.483i D A C. D = 9.462
Education 92 b) RF Conditions Checked at National University (quiet location) c) RF conditions at Qualcomm Stadium (noisy location) Figure- 4. Snapshots of Experimental ObservationsProceedings of the 2013 American Society for Engineering Education Pacific Southwest Conference Copyright © 2013, American Society for Engineering Education 93Figures- 4 a, b & c show a set of snapshots of experimental data. Here a comparison study wasdone by using two frequency plots 1) National University (quiet
measurement with ±0.5⁰C accuracy.The heat transfer blocks were made from two pieces of 6061 Aluminum that are welded together,measure roughly 1.5 x 1.5 x 1.0 inches, and are coated in silicone. The blocks have a passage forfluid milled into them and are connected to the recirculating heating/cooling baths via silicontubing and a variety of NPT and barbed fittings (Fig. 2 (b)). The heat transfer blocks are suppliedeither hot or cold water from PolyScience Performance Digital (PD07R-20-A11B)Refrigerated/Heated Circulating Baths9. During operation, the blocks are placed in the variousmilled pockets of the conduction plate (with a thermal compound used to reduce thermal contactresistances) and provide the necessary temperature differences across the
vol. 1.[10] D. R. Brodeur, P. W. Young, and K. B. Blair, “Problem-based learning in aerospace engineering education,” in Proceedings of the 2002 American Society for Engineering Education Annual Conference and Exposition, 2002, pp. 16–19.[11] D. Broman, K. Sandahl, and M. Abu Baker, “The Company Approach to Software Engineering Project Courses,” Educ. IEEE Trans., vol. 55, no. 4, pp. 445–452, 2012, doi: 10.1109/TE.2012.2187208.[12] N. Correll, R. Wing, and D. Coleman, “A One-Year Introductory Robotics Curriculum for Computer Science Upperclassmen,” Educ. IEEE Trans., vol. 56, no. 1, pp. 54–60, 2013, doi: 10.1109/TE.2012.2220774.[13] E. Bütün, “Teaching genetic algorithms in electrical engineering
literature on teaching engineering design through project-oriented capstone courses. J. Eng. Educ. 2, 17–28 (1997).7. National Academy of Engineering. Infusing Real World Experiences into Engineering Education. 40 (2012). Page 26.165.15 at 8. Ro, H. K., Merson, D., Lattuca, L. R. & Terenzini, P. T. Validity of the Contextual Competence Scale for Engineering Students. J. Eng. Educ. 104, 35–54 (2015).9. Hotaling, N., Fasse, B., Bost, L. F., Hermann, C. D. & Forest, C. R. A quantitative analysis of the effects of a multidisciplinary engineering capstone design course. J. Eng. Educ. 101, 630–656 (2012