Conference Session

Best Practices for Chemical Engineering Lab-Based Courses

Collection

2019 ASEE Annual Conference & Exposition

Authors

Michael David Mau Barankin, Colorado School of Mines; Tracy Q. Gardner, Colorado School of Mines; Jason C. Ganley, Colorado School of Mines

Tagged Divisions

Chemical Engineering

running each of “our” two experiments. During these pre-lab meetingswe make sure the students have prepared well for their lab day focusing on 1) safety, 2) theefficacy of their experimental approach (which they design based on some minimumexperimental objectives, increasing in number and complexity as the weeks go on), and 3) theiranalysis plan. These pre-lab meetings are run in a Socratic manner where we ask questions toguide rather than give answers. We read and provide feedback on two drafts on Monday, go overthose commented drafts in meetings with students on Tuesday, then comment the Group B draftsthat same day for the Wednesday draft reviews. On top of this, professors attend two oralpresentations on Tuesday and two on Wednesday, providing

Conference Session

Course Transformation in ECE

Collection

2019 ASEE Annual Conference & Exposition

Authors

Chaomin Luo, Mississippi State University; Zhuming Bi P.E., Purdue University Fort Wayne; Wenbing Zhao, Cleveland State University

Tagged Divisions

Electrical and Computer

variables that can be used for robot navigation.Neural network training can be regarded as function approximation (see an example in Fig. 2). (A) (B) Fig. 2 Illustration of a function approximation (A) The unknown underlying function; (B) Random samples with function approximate (redrawn from Stalph, 2014)2 Back Propagation Neural Networks ModelIn this well-prepared project, we teach students back propagation (BP) neural network algorithmand its applications in function approximation through a sequence of milestone-driven sub-projectsby the divide-and-conquer learning scheme. BP neural networks are often utilized for

Conference Session

Design in Engineering Education Division: Student Empathy & Human-centered Design

Collection

2019 ASEE Annual Conference & Exposition

Authors

Marsha Maraj, Imperial College London; Colin Paul Hale; Andreas Kogelbauer; Klaus Hellgardt

Tagged Divisions

Design in Engineering Education

” in the 119th ASEE Annual Conference and Exposition, 10 – 13 June 2012, San Antonio, Texas USA [Online]. Available: https://www.asee.org/public/conferences/8/papers/4441/download [Accessed: 17 March 2019].[15] B. Galand, M. Frenay and B. Raucent, “Effectiveness of Problem-Based Learning in Engineering Education: A Comparative Study on Three Levels of Knowledge Structure,” International Journal of Engineering Education, vol. 28, no. 4, pp. 939 – 947, January 2012.[16] M. Savin-Baden, Facilitating problem-based learning: illuminating perspectives. Berkshire, UK: Open University Press, 2003.[17] D. Boud, “Introduction: Making the Move to Peer Learning,” in Peer Learning in Higher Education: Learning From & With

Conference Session

Perspectives on Service Learning: Challenges, Successes, and Opportunities

Collection

2019 ASEE Annual Conference & Exposition

Authors

David C. Che, Mount Vernon Nazarene University; Steve Feazel, Vision Word

Tagged Divisions

Community Engagement Division

key key part modelsCAD tool to but 3D component components components withcreate 3D printed geometries or and assembly and assembly illustrativepart and part is drawings shown but lack shown with assemblyassembly shown shown dimensions (3) some model shownmodels (1) (2) dimensions (5) (4)3D partmodels c 2 1 1 1 2 3.0drawn a. Observation of students during tests b. Homework assignments c. Final project

Conference Session

NSF Grantees Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Alessio Gaspar, University of South Florida; A.T.M. Golam Bari, University of South Florida, Tampa; Dmytro Vitel; Kok Cheng Tan, University of South Florida; Jennifer Albert, The Citadel; Rudolf Paul Wiegand III, University of Central Florida

Tagged Topics

NSF Grantees Poster Session

in human learning systems. In Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS ’06, pages 767–774, New York, NY, USA, 2006. ACM. ISBN 1-59593-303-4. doi: 10.1145/1160633.1160768.[20] Ari Bader-Natal and Jordan Pollack. Motivating appropriate challenges in a reciprocal tutoring system. In Proceedings of the 2005 Conference on Artificial Intelligence in Education: Supporting Learning Through Intelligent and Socially Informed Technology, pages 49–56, Amsterdam, The Netherlands, The Netherlands, 2005. IOS Press. ISBN 1-58603-530-4.[21] Ari Bader-Natal and Jordan B. Pollack. Beeweb: A multi-domain platform for reciprocal peer-driven tutoring systems. In

Conference Session

Architectural Engineering Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ryan Solnosky P.E., Pennsylvania State University, University Park; John J. Phillips, Oklahoma State University

Tagged Divisions

Architectural Engineering

also or alternativelyemploy non-tenure track instructors for their capstones. 67% of the programs indicated that thecourse also utilized some form of industry for an instructional teaching role.It is common to have support beyond the course instructor(s) such as teaching assistants, graders,industry professionals, and/or dedicated staff. Figure 2b shows that industry providessupplementary support to capstone courses in 80% of the programs, with graders and teachingassistants also utilized in 14 - 40% of the courses. The “Other” category indicated in Figure 2bincludes those AE programs that utilize lecturers from outside the program. a) Who Teaches in the Capstone b) Course Support in the Capstone

Conference Session

Multidisciplinary Engineering Design I

Collection

2019 ASEE Annual Conference & Exposition

Authors

Stephanie M. Gillespie, Arizona State University; Mark Vincent Huerta, Arizona State University, Polytechnic campus; Jared Joseph Schoepf, Arizona State University; Joshua Loughman, Arizona State University

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering

has been difficult to characterize on a classby class or year by year basis due to challenges in defining success. In one study of businessstudents, the “five key student themes identified in support of team-based learning included thefollowing: (a) better deliverables, (b) increased ideas, (c) improved learning experience, (d)reduced workload, and (e) collective security” [13]. In conclusion the study found teams allowedstudents to build upon each other’s ideas with a final solution which would not have beenproduced solely by a single student. The study also found that students who prefer working alonestated their reasons including, “(a) grade reciprocity, (b) social loafing, (c) schedule challenges,and (d) work and school team

Conference Session

ERM Technical Session 7: Learning and Research in Makerspaces

Collection

2019 ASEE Annual Conference & Exposition

Authors

Louis Nadelson, University of Central Arkansas; Idalis Villanueva, Utah State University; Jana Bouwma-Gearhart, Oregon State University; Sarah Lanci, Colorado Mesa University; Kate Youmans, Utah State University; Cindy Ann Lenhart, Oregon State University; Alexis K. Van Winkle, University of Central Arkansas

Tagged Divisions

Educational Research and Methods

K-5 schools through MakerSpace Use: A Multi- site early success case study,” Ph.D. dissertation, College of Edu., Univ. Calif. Los Angeles, 2017.[3] K. Sheridan, E. R. Halverson, B. Litts, L. Brahms, L. Jacobs-Preibe, and T. Owens, “Learning in the making; A comparative case study of three makerspaces,” Harvard Educational Review, vol. 84, no. 4, pp. 505-531, 2014.[4] V. Wilczynski, “Academic maker spaces and engineering design,” presented at 122nd Ann. conf. and expo. American Society Engineering Education, Seattle WA, USA, June 14-17, 2015, 2004, pp. 26.138.2-26.138.19.[5] A. Wong and H. Partridge, “Making as learning: Makerspaces in universities,” Australian Academic and Research Libraries

Conference Session

First-Year Programs: Design in the First Year

Collection

2019 ASEE Annual Conference & Exposition

Authors

Pamela L. Dickrell, University of Florida; Lilianny Virguez, University of Florida

Tagged Divisions

First-Year Programs

in the next year.References[1] P. Dickrell and L. Virguez, Engineering Design & Society: A First-Year Student-CenteredCourse Teaching Human-Centered Design, WEEF-GEDC World Engineering Education Forum– Global Engineering Deans Council, Conference of Peace Engineering, November 12-16, 2018,New Mexico, USA[2] C. B. Zoltowski,, W. C. Oakes, and M. E. Cardella,, “Students' ways of experiencing human-centered design” in Journal of Engineering Education, 101(1), 2012, pp.28-59.[3] Martin, Lee (2015) "The Promise of the Maker Movement for Education," Journal of Pre-College Engineering Education Research (J-PEER): Vol. 5: Iss. 1, Article 4.[4] Knight, D. W., Carlson, L. E., & Sullivan, J. (2007, June). Improving engineering studentretention

Conference Session

DISTINGUISHED LECTURE: 2018 Best PIC and Zone Paper Presentations

Collection

2019 ASEE Annual Conference & Exposition

Authors

Thomas P. James P.E., Rose-Hulman Institute of Technology

Tagged Topics

ASEE Board of Directors

Appendix B. Toeliminate acquiescence bias, where a respondent may be inclined to agree with statements aswritten, framing of the statements was done in both the affirmative and the negative. Followingconvention, a five point Likert scale was used, where possible responses were: StronglyDisagree, Disagree, Neither Agree nor Disagree, Agree, and Strongly Agree. Additionalquestions were included in the survey to collect information about a respondent’s gender,declared major, and year in school.To gain a more in depth understanding of faculty perspectives and to reduce the possibility ofsocial desirability bias, where a person tends to put their organization in a favorable light, one-on-one interviews were conducted with several faculty members. In

Conference Session

Design in Engineering Education Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Rustin G. Vogt, California State University Sacramento; Gareth W Figgess, California State University, Sacramento

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

.”Building Career-Ready Students through Multidisciplinary Project-Based Learning Opportunities – A Case Study”. ASEE Annual Conference & Exposition 2017 3. B. Sharma, B. Steward, S.K. Ong, F.E. Miguez. “Evaluation of teaching approach and student learning in a multidisciplinary sustainable engineering course”. Journal of Cleaner Production 142 (2017) 4032-4040 4. W. Wua, B.Hyattb. “Experiential and project-based learning in BIM for sustainable living with tiny solar houses”. Procedia Engineering 145 (2016) 579-586. 5. Sacramento Municiple Utility District “Judging Criteria” www.smud.org 6. N. Mazhar, F. Arain, “Leveraging on Work Integrated Learning to Enhance Sustainable Design Practices in the

Conference Session

New ECE laboratories

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kenneth Ray Hite, West Virginia University; Louis J. Slimak, West Virginia University; Dimitris Korakakis, West Virginia University; Terence C. Ahern, West Virginia University

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer

laptop, desktop, or any other mobile device. This tool enablesthe collaboration between students and faculty across the university within individual classes anddisciplines. Table 2: Intervention LayoutThe online section was broken into two groups, Online Section LabA and B, with two different intervention Group A Group Bstrategies used to assist students. During the Intro Face to Faceface-to-face sections, each student had access to 1 Discussion Blogthe TA to seek

Conference Session

Mechanical Engineering Division Technical Session 10

Collection

2019 ASEE Annual Conference & Exposition

Authors

Shalabh C. Maroo, Syracuse University

Tagged Divisions

Mechanical Engineering

the students taken from adifferent source [11] other than the course textbook and manually entered into the software;similarly, own questions can also be created. Randomized numerical values for the samequestion are underlined in (a) and (b); each student gets the same question with varyingnumerical values.The students work on solving each online homework question, but only enter the final answer, asshown in Fig. 1. The solution steps are not submitted to the instructor and each assigned questionis graded automatically by the software, thus resulting in either full score (if correct) or no points(if incorrect) for that question. Such an exercise may raise concern on grading, correcting andproviding feedback on the problem solving steps to the

Conference Session

Computing Research II

Collection

2019 ASEE Annual Conference & Exposition

Authors

Mysore Narayanan, Miami University

Tagged Divisions

Computing and Information Technology

other was based on assessing the impact of VARK learning styles.Data Display  The grading data obtained was tabulated using a Likert Scale. Likert Scale is shown in Appendix A.  As mentioned earlier, grading was administered using Washington State University’s Rubric. This is shown Appendix B.  Grading was holistic and qualitative. No quantitative grade points or percentages were recorded.  Grading was recorded based on student’s perception, grasp and depth of understanding of the topic. Several “Primary Traits” or “Characteristics” were identified and assessed.  EXCEL Spreadsheet data summary and a sample of

Conference Session

Your Best in 5 Minutes: Demonstrations of Hands-On and Virtual In-Class Teaching Aids

Collection

2019 ASEE Annual Conference & Exposition

Authors

Laura Doyle, Santa Clara University; Tonya Lynn Nilsson P.E., Santa Clara University

Tagged Divisions

Civil Engineering

through collaboratively on the board. The configurationdifference between the original and modified design results in a significant change to the internalforces in Nut/Washer B. This difference is highlighted on the board. During the problemsolving, students are not given any further context as to why the change in the design was madeor information about the Hyatt Regency disaster.In the second stage of the lesson, students conduct a hands-on demonstration that models theirown calculations to destructive failure. A schematic of the demonstration is shown in Figure 2with a picture of students loading the demonstration shown in Figure 3. In the demonstration, theskywalk cross-beams are modeled with Styrofoam and the skywalk decks are thin planks

Conference Session

Biomedical Division Postcard Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Cristi L. Bell-Huff, Georgia Institute of Technology; Kali Lynn Morgan, Georgia Institute of Technology; Joseph M. LeDoux, Georgia Institute of Technology

Tagged Divisions

Biomedical Engineering

, responsibility (Healey et al., 2017, Cook­Sather et al., 2014), and empathy (Cook­Sather, 2015) based on other benefits of student­faculty partnerships seen in the literature. We assessed faculty and student perspectives on these partnerships through a survey administered at the end of the semester. Appendix B contains the survey questions posed to both students and faculty. All responses were de­identified after survey completion. The value being assessed by a given question as defined in the original works cited above is also included in Appendix B although these were not communicated to the survey participants. Additionally, respondents were also asked to identify areas for future improvement.   Results and Discussion  Ten out of 17

Conference Session

Technical Session 3: The Best of Computers in Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

Shaya Wolf, University of Wyoming; Fiona P. Moss, University of Wyoming; Rasana Manandhar, University of Wyoming; Madison Cooley, University of Wyoming; Rafer Cooley, University of Wyoming; Andrea Carneal Burrows Borowczak, University of Wyoming; Mike Borowczak, University of Wyoming

Tagged Divisions

Computers in Education

those directions to the micro:bot, which then moved accordingly. Initially, students were given base-code to help them understand how Micro:Bits communicate witheach other through radio signals. The base-code for this lab consisted of two code files, one for thecontroller and the other for the Micro:Bot. The base-code set radio channels such that when buttonA was pressed, the radio group was decremented by 1 and when B was pressed, the radio group wasincremented by 1. When buttons A and B are pressed together, the radio channel was locked in andthe students could start transmitting instructions/directions to their bot. Further, the base-code forthe controller was set up such that if the user presses button A, the message ”left” was

Conference Session

Minorities in Engineering Division Technical Session 6

Collection

2019 ASEE Annual Conference & Exposition

Authors

Michael Maloy Parker, Cankdeska Cikana Community College; Lori Nelson, Nueta Hidatsa Sahnish College; Robert V. Pieri, North Dakota State University; Austin James Allard, Turtle Mountain Community College; Ann Vallie; Josh Mattes, Sitting Bull College; Teri Ann Allery; Karl Haefner, Cankdeska Cikana Community College

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

students and instructor it breaks down communication walls improving facultyto student relationships which allow faculty to follow up truant students easier than itwas before. Students are able to communicate with their peers about some of thechallenges they are facing and their peers, in turn, confidentially inform the instructorthe reasoning behind a particular students absenteeism.REFERENCES:Bailey, T., Jeong, D. W., & Cho, S.-W. (2010). Referral, enrollment, and completion indevelopmental education sequences in community colleges. Economics of EducationReview, 29 (2), 255-270Hoang, H., Huang, M., Sulcer, B., & Yesilyurt, S. (2018). Carnegie Math Pathways™2016-2017 impact report: A six-year review. Retrieved from Carnegie Foundation for

Conference Session

NSF Grantees Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Vivek Sivaraman Narayanaswamy, Arizona State University; Uday Shankar Shanthamallu; Abhinav Dixit, ARIZONA STATE UNIVERSITY; Sunil Rao; Raja Ayyanar, Arizona State University; Cihan Tepedelenlioglu, Arizona State University; Andreas S Spanias, Arizona State University; Mahesh K Banavar, Clarkson University; Sameeksha Katoch; Emma Pedersen; Photini Spanias; Pavan Turaga; Farib Khondoker, SenSIP Center - Arizona State University

Tagged Topics

NSF Grantees Poster Session

machine learning, the creation of content at the overlapof these two areas offers several opportunities for education and research. Machine learning [1]promises to solve several problems in solar energy generation including a) fault detection [2,3,4,5],b) shading prediction [6], and c) topology optimization [7,8,9]. Preparing students early in their plansof study to tackle these problems requires: a) training in machine learning, b) exposition to solarenergy systems simulation [10], c) skill building in terms of developing or using software to integratemachine learning to obtain solar system analytics and control the overall system [11]. In this paper, we describe an educational program developed to bring to undergraduate classes[12,13] select

Conference Session

Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Vigyan Jackson Chandra, Eastern Kentucky University

Tagged Divisions

Computing and Information Technology

networking classes, and by default has computer systems connected through unmanaged switches. In the network hardware devices course students will transition from these unmanaged devices to managed routers and switches as the semester progresses. Students set up Ethernet cabling between network devices. Remembering whether the specific network cable is a straight-through or crossover is typically difficult to recall. A visual and rather appetizing cue in the form of a “burger” is suggested, as shown in Figure 2(b), with the router and network interface card (NIC) on the host computer serving as the slices of the sandwich. The hub serves as the protein of choice, and switch the topping. Network devices are arranged

Conference Session

Design in Engineering Education Division: Postcard and Student Essays

Collection

2019 ASEE Annual Conference & Exposition

Authors

Roxana Maria Carbonell, University of Texas, Austin; Madison E. Andrews, University of Texas, Austin; Audrey Boklage, University of Texas, Austin; Maura J. Borrego, University of Texas, Austin

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

ofengineering education that benefit from makerspace projects. As we continue to survey studentsin makerspaces, we hypothesize that our results will adjust to give us a richer view of the impactmakerspace use has on individual’s education throughout their undergraduate studies.References 1. American Society for Engineering Education. (2016). Envisioning the Future of the Maker Movement: Summit Report. Washington, DC: American Society for Engineering Education. 2. Barrett, T. W., & Pizzico, M. C., & Levy, B., & Nagel, R. L., & Linsey, J. S., & Talley, K. G., & Forest, C. R., & Newstetter, W. C. (2015, June). A Review of University Maker Spaces. Paper presented at 2015 ASEE Annual Conference &

Conference Session

Engineering Design for Elementary Students

Collection

2019 ASEE Annual Conference & Exposition

Authors

Amanda C. Johnston, Purdue University-Main Campus, West Lafayette (College of Engineering); Ruben Dario Lopez-Parra, Purdue University-Main Campus, West Lafayette (College of Engineering); Kristina Maruyama Tank, Iowa State University; Tamara J. Moore, Purdue University-Main Campus, West Lafayette (College of Engineering); Barbara Fagundes, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Divisions

Pre-College Engineering Education

curriculum unit. Even though all 5 first-grade teachers participated in the larger project, the goal of thisstudy was to look at first grade students decision making while engaged in a specific engineeringdesign challenge as part of the larger STEM+C curriculum unit and therefore it was important tohave students engaged in similar tasks and approaches within the same curriculum.Consequently, this led to a focusing on three of the five teachers and their focus students, due tothe extent to which the three selected teachers adhered closely to the curriculum and resulting inmore consistency across the classrooms.The three teachers were Miriam in classroom A, Moirain classroom B, and Kristen in Classroom C. The focus students from each the three

Conference Session

Outreach and Beyond in the Chemical Engineering Classroom

Collection

2019 ASEE Annual Conference & Exposition

Authors

Byron Hempel, University of Arizona; Paul Blowers, University of Arizona; Kasi M. Kiehlbaugh, University of Arizona

Tagged Topics

Diversity

Tagged Divisions

Chemical Engineering

Paper ID #24615Scalable and Practical Interventions Faculty Can Deploy to Increase StudentSuccessMr. Byron Hempel, University of Arizona Byron Hempel is a PhD Candidate at the University of Arizona, having received his B.S. in Chemistry at the University of Kentucky and Masters in the Chemical and Environmental Engineering Department at the University of Arizona. Working under Dr. Paul Blowers, Byron is focusing on improving the classroom environment in higher education by working in the flipped classroom. He is a University Fellow, a Mindful Ambassador, and Chair of the Graduate Student Working Group for the ASEE Chapter

Conference Session

NEE - 3: Improving Homework and Problem-solving Performance

Collection

2019 ASEE Annual Conference & Exposition

Authors

Derek Breid, Saint Vincent College

Tagged Divisions

New Engineering Educators

gradeis based off of two criteria: a) students identifying mistakes in their original submission andmaking corrections, and b) a metacognitive response to each problem where students outlinetheir solution process, identify points of misconception and think critically about their ownunderstanding of the material. As long as a student engages honestly and critically in themetacognitive response, they again receive full credit for their resubmission.At no point on either submission are students graded based on the correctness of their answers,removing one of the main incentives for turning to solution manuals. Instead, the student isrewarded for timely effort (initial submission) and for reflecting on what they learned from eachexercise

Conference Session

Communication in Pre-College Engineering Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ashley R. Strong, Utah State University; Amy Wilson-Lopez, Utah State University

Tagged Divisions

Pre-College Engineering Education

inunderstanding and generating complex information and ideas. ReferencesBritner, S. L., & Pajares, F. (2006). Sources of science self-efficacy beliefs of middleschool students. Journal of Research in Science Teaching, 43, 485-499.Cannady, M. A., Greenwald, E., & Harris, K. N. (2014). Problematizing the STEMpipeline metaphor: Is the STEM pipeline metaphor serving our students and the STEMworkforce? Science Education, 98, 443-460.Cervetti, G. N., Barber, J., Dorph, R., Pearson, P. D., & Goldschmidt, P. G. (2012). Theimpact of an integrated approach to science and literacy in elementary school classrooms.Journal of Research in Science Teaching, 49, 631-658.Chen, Y.-C., Hand, B., & McDowell, L. (2013

Conference Session

Incorporating the Community into the Classroom

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ann D. Christy P.E., Ohio State University; Tara Gupte Wilson, Ohio State University; Owen J. Meehl, Ohio State University

Tagged Divisions

Biological and Agricultural Engineering

systems / control volumes 7. Analyze and predict performance of engines, power plants, heat pumps, refrigerators, and air conditioners based on thermodynamic principles 8. Design a thermodynamic device that provides value to a range of usersThis design project was most aligned with the last outcome, but individual assignments assessedstudent attainment of outcomes number 1, 3, and 7 as well as 8.Thermodynamics PBL assignments. This project included six modules with six associatedstudent deliverables spread over one semester: • Concept map assignment exploring connections between energy and (a.) poverty, (b.) food production, processing, and distribution, or (c.) the environment (group assignment, each group picks one of

Conference Session

Technical Session 4: Modulus Topics 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Magesh Chandramouli, Purdue University Northwest

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

. (2013). Experiential Learning through Virtual Reality: SafetyInstruction for Engineering Technology Students. Journal of Engineering Technology 30(2), 14-21. ISSN: 0747-9664.Jen, Y. H., Taha, Z., & Vui, L. J. (2008). Vr-based robot programming and simulation systemfor an industrial robot. International Journal of Industrial Engineering: Theory, Applications andPractice, 15(3), 314-322.Chandramouli, M., Zahraee, M. & Winer, C. (2014) June. A fun-learning approach toprogramming: An adaptive Virtual Reality (VR) platform to teach programming to engineeringstudents. In IEEE International Conference on Electro/Information Technology (pp. 581-586).IEEE.Sherman, W. R., & Craig, A. B. (2003). Understanding Virtual Reality—Interface

Conference Session

Technical Session 6: Modulus Topics Part 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ronald Erdei, University of South Carolina; Brantly Edward McCord, Purdue Polytechnic Institute; David M. Whittinghill, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Divisions

Computers in Education

Conference, Crystal City, Virginia, 2018: American Society for Engineering Education.[2] L. Barker and J. McGrath Cohoon, "Key Practices for Retaining Undergraduates in Computing," in Strategic, 2009, pp. 1-4.[3] J. C. Carver, L. Henderson, L. H. L. He, J. Hodges, and D. Reese, "Increased Retention of Early Computer Science and Software Engineering Students Using Pair Programming," in 20th Conference on Software Engineering Education & Training (CSEET'07), ed, 2007.[4] B. Hanks, S. Fitzgerald, R. Mccauley, L. Murphy, and C. Zander, "Pair Programming in Education: A Literature Review," Computer Science Education, vol. 21, pp. 135-173, 2011.[5] C.-w. Ho, K. Slaten, L. Williams, and S. Berenson

Conference Session

Experimentation and Laboratory-Oriented Studies Division Technical Session 3

Collection

2019 ASEE Annual Conference & Exposition

Authors

David Silveira, California State University, Chico

Tagged Topics

Diversity

Tagged Divisions

Experimentation and Laboratory-Oriented Studies

not place an unwarranted level of faith in the results of software simulations.In Part B, students were asked to design a distributed-element commensurate-line low-pass filterin microstrip starting with a normalized 3rd-order low-pass filter prototype. The assigned -3 dBcutoff frequencies of these filters ranged from 1 GHz to 1.75 GHz. Students were also asked toperform a PCB board layout that would be used to generate a physical prototype on which theywould then solder SMA connectors and use a VNA to verify its performance. This extension intophysical prototyping and measurement was intended to give students experience in using RFlaboratory equipment and enable them to correlate theoretical and experimental results.Student Learning

Conference Session

First-Year Programs: Monday Cornucopia (Classroom Innovations)

Collection

2019 ASEE Annual Conference & Exposition

Authors

Joshua L. Hertz, Northeastern University; Duncan Davis, Northeastern University; Brian Patrick O'Connell, Northeastern University; Constantine Mukasa, Northeastern University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

ratio from 1. Calculation of the attribute score issummarized in equation 1, with option a used when heterogeneity within a team is preferred forthis attribute and option b used when homogeneity is preferred instead. 𝑟𝑎𝑛𝑔𝑒 𝑜𝑓 𝑣𝑎𝑙𝑢𝑒𝑠 𝑤𝑖𝑡ℎ𝑖𝑛 𝑡ℎ𝑒 𝑡𝑒𝑎𝑚 , (𝑎) 𝑟𝑎𝑛𝑔𝑒 𝑜𝑓 𝑣𝑎𝑙𝑢𝑒𝑠 𝑎𝑚𝑜𝑛𝑔 𝑎𝑙𝑙 𝑠𝑡𝑢𝑑𝑒𝑛𝑡𝑠 𝑎𝑡𝑡𝑟𝑖𝑏𝑢𝑡𝑒 𝑠𝑐𝑜𝑟𝑒 = (1) 𝑟𝑎𝑛𝑔𝑒 𝑜𝑓 𝑣𝑎𝑙𝑢𝑒𝑠 𝑤𝑖𝑡ℎ𝑖𝑛 𝑡ℎ𝑒 𝑡𝑒𝑎𝑚 {1 − 𝑟𝑎𝑛𝑔𝑒 𝑜𝑓 𝑣𝑎𝑙𝑢𝑒𝑠 𝑎𝑚𝑜𝑛𝑔 𝑎𝑙𝑙