Conference Session

Professional Development and Lifelong Learning

Collection

2017 ASEE Annual Conference & Exposition

Authors

Serhiy Kovalchuk, University of Toronto; Mona Ghali, University of Toronto; Mike Klassen, University of Toronto; Doug Reeve P.Eng., University of Toronto; Robin Sacks, University of Toronto

Tagged Divisions

Liberal Education/Engineering & Society

Paper ID #18625Transitioning from University to Employment in Engineering: The Role ofCurricular and Co-curricular ActivitiesDr. Serhiy Kovalchuk, University of Toronto Serhiy Kovalchuk is a research associate at the Institute for Leadership Education in Engineering, Faculty of Applied Science and Engineering, University of Toronto.Dr. Mona Ghali, University of Toronto Researcher and InstructorMr. Mike Klassen, University of Toronto Mike Klassen is the Assistant Director, Community of Practice on Engineering Leadership at the Institute for Leadership Education in Engineering (ILead) at the University of Toronto. He designs

Conference Session

Software Engineering Division Technical Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Sushil Acharya, Robert Morris University; Walter W Schilling Jr., Milwaukee School of Engineering

Tagged Topics

Diversity

Tagged Divisions

Software Engineering Division

study will consist of the followingcomponents: a. Case Study Description: This document provides complete information of this active learning tool. It has four categories of information. The first part provides general information about the case study and includes details like the software security focus topic area, module name, prerequisite knowledge, learning outcomes, keywords, expected delivery duration, description of the scenes, and student exercise. The second part describes the instruction and assessment procedure. The third part has a list of possible discussion questions by scene. The final part of this document depicts the survey instrument. b. Student Handout: Student Handout includes

Conference Session

Experinces in Manufacturing Engineering Education

Collection

2017 ASEE Annual Conference & Exposition

Authors

Daniel J Cox, Georgia Southern University

Tagged Divisions

Manufacturing

, Chicago, June 2006.[5] Slifka, M., “Active Learning Techniques For Engaging First Year Students In A Manufacturing Processes Course,” 2010 ASEE Annual Conference and Exposition, Louisville, June 2010.[6] Jack, H., “Perceptions in the Manufacturing Education Community,” 2010 ASEE Annual Conference and Exposition, Louisville, June 2010.[7] Wosczyna-Birch, K., Francillon, W., and Simoneau, R. W., “Manufacturing Strategies: NSF ATE Centers,” 2011 ASEE Annual Conference and Exposition, Vancouver BC, June 2011.[8] Anthony, B. W., and Hardt, D. E., “Revitalizing U.S. Manufacturing to Capitalize on Innovation,” 2012 ASEE Annual Conference and Exposition, San Antonio, June 2012.[9] Cox, D., and Schonning, A., “Industry

Conference Session

ETD Internet of Things (IOT)

Collection

2017 ASEE Annual Conference & Exposition

Authors

Dhananjay V. Gadre, Netaji Subhas Institute of Technology; Ramesh S. Gaonkar, SUNY-PCC and IITGN; Nikhilesh Prasannakumar, Netaji Subhas Institute of Technology; Sneha N. Ved, Indian Institute of Technology, Gandhinagar

Tagged Divisions

Engineering Technology

provide a good balance of high performance, small code size, low power consumption andsmall silicon area. However, these enhancements add more challenges in teaching thearchitecture of the ARM controller.Initializing General Purpose I/O (GPIO) PortsThe ARM architecture includes eight I/O Ports labeled as A, B, C, D, E, F, G and H with eachport having possible 32 pins (B31-B0). However, it is left to the chip manufacturer to design thenumber of ports, the number of pins per port, and which pins to use, based on its intendedapplications and design. The ARM architecture has assigned the address range of 5 MB from4000_0000H to 5FFF_FFFFH to GPIO ports. However, it is left to the manufacturer to assignspecific addresses to GPIO Ports A to H. If we

Conference Session

MET Papers 1

Collection

2017 ASEE Annual Conference & Exposition

Authors

Mileta Tomovic, Old Dominion University; Cynthia Tomovic, Old Dominion University; Vukica M. Jovanovic, Old Dominion University; Cheng Y. Lin P.E., Old Dominion University; Nan Yao, Beihang University

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology

F '14 S '15 F '15 S '16 F '16 A B C D F ave Fig. 1. Grade distribution and overall score average vs semester. Percent Grade Distribution 60 50 40 30 20 10 0 F '14 S '15 F '15 S '16 F '16 A B C D F Figure 2. Grade distribution vs semester. Percent Grade Distribution 60 50 40 30 20 10 0

Conference Session

Professional and Regulatory Issues in Ethics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Ramanitharan Kandiah P.E., Central State University; Krishna Kumar V Nedunuri, International Center for Water Resources; Ning Zhang, Central State University

Tagged Topics

Diversity

Tagged Divisions

Engineering Ethics

in enforcing them. Thestudents were asked to submit reviews of these talks which were assessed by the instructor. Thepresentations were on five academic research topics such as Stream - Aquifer InteractionAssessment Using Riparian Evapotranspiration Estimates from Remote Sensing Algorithms,three industrial topics such as Industrial Waste Management and Environmental Engineeringcareers, and two on local and federal government agencies such as Careers in NRCS andRegional Air Pollution Control Agency & Ambient Air Quality Monitoring. Appendix-B providesthe assessment summary for EPS Fall 2010.However, to engage the students more and to include additional E&P issues into the course, theinstructors felt a need for a more traditional

Conference Session

Pre-College: Fundamental Research in Engineering Education (2)

Collection

2017 ASEE Annual Conference & Exposition

Authors

Reagan Curtis, West Virginia University; Johnna Bolyard, West Virginia University; Darran Cairns, West Virginia University; David Luke Loomis, West Virginia University; Sera Mathew; Kelly Leigh Watts

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division

Paper ID #18762Building Middle School Teacher Mathematics and Science Content Knowl-edge through Engineering Design (Fundamental)Prof. Reagan Curtis, West Virginia University Reagan Curtis, Ph.D., is Professor of Educational Psychology and chair of the Department of Learning Sciences and Human Development at West Virginia University. He pursues a diverse research agenda in- cluding areas of interest in (a) the development of mathematical and scientific knowledge across the lifes- pan, (b) online delivery methods and pedagogical approaches to university instruction, and (c) research methodology, program evaluation, and

Conference Session

College Industry Partnerships Division Technical Session 3

Collection

2017 ASEE Annual Conference & Exposition

Authors

Aaron Carpenter, Wentworth Institute of Technology; James R McCusker PhD, Wentworth Institute of Technology; Durga Suresh, Wentworth Institute of Technology

Tagged Divisions

College Industry Partnerships

design. In Proceedings Frontiers in Education 1995 25th Annual Conference. Engineering Education for the 21st Century, volume 1, pages 2a1.8–2a111 vol.1, Nov 1995. [6] K. Beckman, N. Coulter, S. Khajenoori, and N. R. Mead. Collaborations: closing the industry-academia gap. IEEE Software, 14(6):49–57, Nov 1997. [7] L. Massay, S. Udoka, and B. Ram. Industry-university partnerships: A model for engineering education in the 21st century. Computers & Industrial Engineering, 29(1):77 – 81, 1995. [8] T. Reichlmay. Collaborating with industry: Strategies for an undergraduate software engineering program. In Proceedings of the 2006 International Workshop on Summit on Software Engineering Education, SSEE ’06, pages 13–16. ACM, 2006

Conference Session

Social Justice, Social Responsibility, and Critical Pedagogies

Collection

2017 ASEE Annual Conference & Exposition

Authors

Yanna Lambrinidou, Virginia Tech; Nathan E. Canney, Seattle University

Tagged Divisions

Liberal Education/Engineering & Society

,” descriptions of the relationshipbetween engineers and “the public”). As might be expected, in the process of coding, weencountered additional themes (e.g., societal problems in need of engineering solutions,engineers’ “social footprint” over time). At the end of the trial process, we examined our threeseparate codebooks and worked to combine them into one, by a) reaching consensus on thewording and meaning of each code, 1 and b) eliminating codes we deemed far too specific to oneof the three initial documents to justify their inclusion in the codebook. 2 There was nodisagreement about whether any of the codes we developed were valid or about whether codeswe retained should have been eliminated and vice versa. Once we entered the second phase ofcoding

Conference Session

NSF Grantees Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Patrick Cunningham, Rose-Hulman Institute of Technology; Holly M Matusovich, Virginia Tech; Deirdre-Annaliese Nicole Hunter, La Gran Familia De Gregory; Sarah Anne Blackowski, Virginia Tech; Sreyoshi Bhaduri, Virginia Tech

Tagged Topics

NSF Grantees Poster Session

determine word relevance in document queries. In Proceedings of the first instructional conference on machine learning.Schellings, G., & Van Hout-Wolters, B. (2011). Measuring strategy use with self-report instruments: theoretical and empirical considerations. Metacognition and Learning, 6(2), pp. 83-90.Sultana, F., Charles, S., & Govardhan, A. (2012). Spam comment detection in blog comments from blog rss feed by modified TF-IDF algorithm. International Journal of Engineering Science and Technology, 4(3).Tarricone, P. (2011) The Taxonomy of Metacognition. New York, NY: Psychology Press.Van Hout-Wolters, B. (2000). Assessing active self-directed learning. In R. Simons, J. van der Linden, & T. Duffy (Eds

Conference Session

Engineering Physics & Physics Division Technical Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Carl K. Frederickson, University of Central Arkansas

Tagged Divisions

Engineering Physics & Physics

Paper ID #18439Introducing Coding in Freshman Physics Laboratories using ArduinosDr. Carl K Frederickson, University of Central Arkansas Dr. Frederickson has taught physics at UCA for 22 years. He is the current department chair and is leading the development of a new Engineering Physics degree program. c American Society for Engineering Education, 2017 Introducing Coding in Freshman Physics Laboratories using ArduinosAbstractDuring the fall semester 2015 Arduino microprocessors were introduced into the second semestercalculus based physics laboratory. The

Conference Session

Software Engineering Concepts

Collection

2017 ASEE Annual Conference & Exposition

Authors

Anurag Goswami, North Dakota State University; Gursimran Singh Walia, North Dakota State University; Ganesh Padmanabhan, North Dakota State University; Mark E McCourt, Department of Psychology, North Dakota State University

Tagged Divisions

Computers in Education

StylesLSs was first introduced by Kolb [18]. Since then, multiple versions of LS models [19] weredeveloped by the psychologists and validated its use in academic environment [10]. This studyutilized Felder Silverman Learning Style model [20] and an instrument known as Index ofLearning Styles (ILS) that is used to measure LS of individuals [21]. The ILS is an onlinequestionnaire (empirically validated for its reliability and construct validity [22]) that consists of44 questions where each dimension has 11 questions. A brief description of four LS dimensionsis described in Figure 1(a). The LS score of an individual across four dimensions is denoted by‘X’ on the top of a category as shown in Figure 1(b). A score between 5-7 and 9-11 states that

Conference Session

The Best of the Computers in Education

Collection

2017 ASEE Annual Conference & Exposition

Authors

Robert L. Avanzato, Pennsylvania State University, Abington

Tagged Divisions

Computers in Education

., & Thornton, M. A. (2012, June), Faculty and Student Perceptions of OnlineLearning in Engineering Education Paper presented at 2012 ASEE Annual Conference & Exposition, SanAntonio, Texas. https://peer.asee.org/21387Owalabi, O. (2016, Oct-Dec), Effective Learning Activities and Tools Adopted in an Online EngineeringClass, Transactions on Techniques in Stem Education, vol. 2, no. 1, pp. 97-106.Sarder, M. B. (2014, June), Improving Student Engagement in Online Courses Paper presented at 2014ASEE Annual Conference & Exposition, Indianapolis, Indiana. https://peer.asee.org/20611iImmersive Terf® is the 3D platform created by 3D ICC. Terf® is an immersive 3D avatar-based online environmentthat requires a subscription. For more information

Conference Session

Pre-College: Fundamental Research in Engineering Education (2)

Collection

2017 ASEE Annual Conference & Exposition

Authors

Pamela S. Lottero-Perdue, Towson University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division

Paper ID #18779Elementary Student Reflections on Failure Within and Outside of the Engi-neering Design Process (Fundamental)Dr. Pamela S. Lottero-Perdue, Towson University Pamela S. Lottero-Perdue, Ph.D., is Associate Professor of Science Education in the Department of Physics, Astronomy & Geosciences at Towson University. She has a bachelor’s degree in mechanical engineering, worked briefly as a process engineer, and taught high school physics and pre-engineering. She has taught engineering and science to children in multiple informal settings. As a pre-service teacher educator, she includes engineering in her

Conference Session

Edifying Engineering Education through Multidisciplinary Efforts

Collection

2017 ASEE Annual Conference & Exposition

Authors

J. Sonnenberg-Klein, Georgia Institute of Technology; Randal T. Abler, Georgia Institute of Technology; Edward J. Coyle, Georgia Institute of Technology; Ha Hang Ai

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering

the John B. Peatman Distinguished Professor and a GRA Eminent Scholar at Georgia Tech. He directs the Arbutus Center for the Integration of Research and Education and is the founder of the Vertically Integrated Projects (VIP) Program and the VIP Consortium. He was a co-recipient of the National Academy of Engineering’s 2005 Bernard M. Gordon Award for Innovation in Engineering and Technology Education and the 1997 Chester F. Carlson Award from the ASEE. Dr. Coyle is a Fellow of the IEEE and his research interests include systemic reform of higher education, wireless and sensor networks, and signal and information processing.Ha Hang Ai c American Society for Engineering Education, 2017

Conference Session

Pre-College: Perceptions and Attitudes on the Pathway to Engineering (4)

Collection

2017 ASEE Annual Conference & Exposition

Authors

Fethiye Ozis P.E., Northern Arizona University; Ali Osman Pektas, www.statprofs.com; Mustafa Akca; Daniel'le April DeVoss, Northern Arizona University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division

(Overall_Per_STEM) construct was created by summarizing 26survey questions measuring perceptions and likeliness of Engineering, Science, and Math classesby weighing each of these subject matters equally (See Appendix A). The variable Overallperception of STEM (Overall_Per_STEM) was calculated by taking the arithmetic mean of threesub parameters. These are Overall Perception of Math, Overall Perception of Science and OverallPerception of Engineering (Appendix A: Construct a, b and c respectively). These variables werecalculated by taking the simple, equally weighted means of Likert scaled questions in a surveydata set. For each variable, related survey questions and descriptive statistics are given in AppendixA. The students who were enrolled in a STEM club

Conference Session

Computing Technology Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Petr Johanes, Stanford University; Larry Lagerstrom, Stanford University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

provocative software make a difference in the classroom? EdSurge. Retrieved December 5, 2016 from https://www.edsurge.com/research/special-reports/adaptive-learning/13. Balakrishnan Chandrasekaran, Todd R. Johnson, and Jack W. Smith. 1992. Task-structure analysis for knowledge modeling. Communications of the ACM 35, 9: 124–137.14. Harry Collins. 2010. Tacit and explicit knowledge. University of Chicago Press.15. Albert T. Corbett and John R. Anderson. 1994. Knowledge tracing: Modeling the acquisition of procedural knowledge. User modeling and user-adapted interaction 4, 4: 253–278.16. Jennifer B. Daines, Tonya Troka, and John M. Santiago Jr. 2016. Improving Performance in Trigonometry and Pre-Calculus by Incorporating Adaptive Learning

Conference Session

Military and Veterans Constituent Committee Division Technical Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Srujal Patel, Georgia Institute of Technology; Maria-Isabel Carnasciali, University of New Haven

Tagged Divisions

Military and Veterans

workshop were more hands-on with electronics/electromechanical systems which requiredsome knowledge of circuits.Pre/Post Survey: Concept QuestionsFor workshop 1, the answers Pre/Post survey multiple-choice questions show a trend ofimprovement in understanding of the concepts after the workshop (Appendix B). The multiple-choice questions were mainly focused on concepts on basics of electricity, circuits, motors, andquadcopters. From the results, we concluded that even though concepts in circuits, motors andquadcopters had shown positive trend (18 out of 23 questions), answers to electricity-relatedquestions did not show an improvement. There could be several reasons: a) Since the videoswere viewed at the participants’ discretion, they skipped the

Conference Session

Student Feedback and Assessment in Design

Collection

2017 ASEE Annual Conference & Exposition

Authors

Mitch Cieminski, Franklin W. Olin College of Engineering; Alexandra Coso Strong, Franklin W. Olin College of Engineering

Tagged Divisions

Design in Engineering Education

sources (e.g., Lande & Oplinger, 2014; Yilmaz & Daly,2016), gaining additional insight about the reviews and confirming or challenging our analysis.Case SelectionThe focus of this analysis is an in-depth exploration of two formative design reviews, one fromeach course. These reviews were selected on the criteria that they a) occurred before the projectwas completed (i.e., they were formative) and b) included the most types of power-relateddiscursive patterns displayed in the course they were selected from (i.e., they wererepresentative). To determine representativeness, we watched and read each of the threeformative ME and 17 formative ID design reviews in the dataset. For each review, we performedan initial coding of major power-related

Conference Session

Thinking Globally, Acting Locally: The Role of Engineering Education towards Attaining UN Sustainable Development Goals

Collection

2017 ASEE Annual Conference & Exposition

Authors

Tripp Shealy, Virginia Tech; Allison Godwin, Purdue University, West Lafayette; Haley Margaret Gardner

Tagged Divisions

Civil Engineering, Community Engagement Division, Liberal Education/Engineering & Society, Minorities in Engineering

). Sustainable engineering education in the United States. Sustainability Science, 4(1), 7–15. https://doi.org/10.1007/s11625-009-0065-5Anderson, A. (2010). Combating climate change through quality education. Retrieved from http://dspace.cigilibrary.org/jspui/handle/123456789/29684Andersson, B., & Wallin, A. (2000). Students’ understanding of the greenhouse effect, the societal consequences of reducing CO2 emissions and the problem of ozone layer depletion. Journal of Research in Science Teaching, 37(10), 1096–1111. https://doi.org/10.1002/1098- 2736(200012)37:10<1096::AID-TEA4>3.0.CO;2-8ASEE. (1999). ASEE Statement on Sustainable Development Education. Retrieved February 12, 2009, from http://www.asee.org

Conference Session

Learning from Industry

Collection

2017 ASEE Annual Conference & Exposition

Authors

Trevion S. Henderson, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

motivation, non-academic competencies, and commitmentto STEM disciplines.14 Other scholars argue that service learning opportunities enhance students’engagement through, and well beyond, the college experience.15Research on SCB learning experiences in engineering suggests similarly robust studentoutcomes, as well as other engineering-specific learning outcomes mandated by theAccreditation Board of Engineering and Technology (ABET). For example, Ropers-Huilman etal. found that SCB learning experiences promote students’ ability to (a) design systems to meetreal-world needs, (b) perform on multi-disciplinary teams, and (c) communicate their workeffectively.16 Other studies of service-learning experiences in engineering suggest participantsdevelop a

Conference Session

Environmental Engineering Division Technical Session 1

Collection

2017 ASEE Annual Conference & Exposition

Authors

Alexa Rihana-Abdallah, University of Detroit Mercy; James Joseph Lynch, University of Detroit Mercy

Tagged Divisions

Environmental Engineering

Delta ’00 Symposium on Undergraduate Mathematics, Toowoowba.Dunne, B. E., Blauch, A. J., Sterian, A., “The Case for Computer Programming Instruction for all Engineering Discliplines,” ASEE Annual Conference and Exposition, Conference Proceedings, 2005, pp. 1525-1537. Portland, OR.Environmental Protection Agency: https://www3.epa.gov/region10/pdf/sites/boomsnub_airco/2010annual_status_report_boomsnub_airco.pdfMaase, Eric. 2007. “Kangaroo Thinking: Mathematics, Modeling, and Engineering in Introductory Computer Programming for Engineers,” ASEE Annual Conference and Exposition, Conference Proceedings, 2007, Honolulu, HI.Ogata, A., and Banks, R. B. 1961. A Solution of the Differential Equation of Longitudinal

Conference Session

NSF Grantees Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Jennifer R Amos, University of Illinois, Urbana-Champaign; Rashid Bashir, University of Illinois, Urbana-Champaign; Kelly J Cross, University of Illinois, Urbana-Champaign; Geoffrey L Herman, University of Illinois, Urbana-Champaign; Jeffrey Loewenstein, University of Illinois, Urbana-Champaign; Marcia Pool, University of Illinois, Urbana-Champaign; Dorothy Silverman, University of Illinois Urbana-Champaign

Tagged Topics

NSF Grantees Poster Session

Paper ID #19347Defining the Frontiers of Bioengineering Education at Illinois and BeyondDr. Jennifer R Amos, University of Illinois, Urbana-Champaign Dr Amos joined the Bioengineering Department at the University of Illinois in 2009 and is currently a Teaching Associate Professor in Bioengineering and an Adjunct Associate Professor in Educational Psychology. She received her B.S. in Chemical Engineering at Texas Tech and Ph.D. in Chemical En- gineering from University of South Carolina. She completed a Fulbright Program at Ecole Centrale de Lille in France to benchmark and help create a new hybrid masters program

Conference Session

Materials Division Technical Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Rika Wright Carlsen, Robert Morris University

Tagged Divisions

Materials

laboratory experiments.The first pre-laboratory exercise involved designing an experiment that characterized the surface energyof polystyrene (PS) and polytetrafluoroethylene (PTFE). In the second pre-laboratory exercise, a protocolwas developed for preparing polyvinyl alcohol (PVA) hydrogels that matched the compressive propertiesof native cartilage. Based on your experiences with these pre-laboratory exercises, please indicate yourdegree of agreement with the following statements.Additional Questions:How did the pre-laboratory exercises affect your understanding of the material taught in the lab?How could the pre-laboratory exercises or laboratory experiments be changed to enhance your learningexperience?Any other comments?Appendix B

Conference Session

International Educational Experiences (1)

Collection

2017 ASEE Annual Conference & Exposition

Authors

Alistair Cook, Colorado State University

Tagged Topics

Diversity

Tagged Divisions

International

that the proposed solution will fail. Consider these possible actions: a) Have the entire team approach the manager together. b) Bring up your concerns in the meeting. c) Set aside your concerns and follow the manager’s lead. d) Discuss the issue with the manager later, in a private meeting. e) Consult your Chinese team members about appropriate actions to take. f) Discuss your concerns with a higher-ranking manager. Which of these actions (a-f) would you MOST likely take? Which of these actions (a-f) would you LEAST likely take?Figure 4 - Example Vignette and Situation Judgement Test [1]Evaluation of learning programsIt is also important to be able to evaluate and compare different models of learning in terms of theirinternational factors

Conference Session

Interactive Approaches to Ethics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Leslie Dodson, Worcester Polytechnic Institute; David DiBiasio, Worcester Polytechnic Institute; Paula Quinn, Worcester Polytechnic Institute; John Bergendahl, Worcester Polytechnic Institute; Kristin Boudreau, Worcester Polytechnic Institute; Glenn Gaudette, Worcester Polytechnic Institute; John M. Sullivan Jr, Worcester Polytechnic Institute; Curtis Abel, Worcester Polytechnic Institute

Tagged Topics

Diversity

Tagged Divisions

Engineering Ethics

the Blackstone River: Hearings Beforethe Joint Standing Committee on Public Health, on the Matter of Restraining the City ofWorcester from Polluting the Blackstone River (1882). This document contains residentand witness statements and legal arguments by a) municipal representatives and otherswho argued against taking action to purify the water that empties into the BlackstoneRiver and Canal, and, b) agents in favor of taking action (i.e., downstream industrialistsand residents, doctors, social activists, laborers, etc.).In-class, in-character debate:Students were instructed to take a position on the question: “Should Worcester have toclean up the water it puts into the Blackstone River?” In an in-class debate, studentsrepresented their

Conference Session

First-Year Programs: Wednesday Potpourri

Collection

2017 ASEE Annual Conference & Exposition

Authors

Natasha Perova-Mello, Oregon State University; Sean P. Brophy, Purdue University, West Lafayette (College of Engineering)

Tagged Divisions

First-Year Programs

Paper ID #19588First-Year Engineering Student Perspectives Of Google Docs For Online Col-laborationMs. Natasha Perova-Mello, Oregon State University Natasha Perova-Mello is currently a Postdoctoral researcher at Oregon State University in the School of Civil and Construction engineering. She recieved Ph.D. in Engineering Education from Purdue University. She previously worked at the Harvard Graduate School of Education as a Research Assistant focusing on students’ learning algebra and also taught an introductory physics course at Suffolk University, Boston, Mass. Before that, she worked as a Graduate Research Assistant at

Conference Session

NSF Grantees Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Qichao Wang, Virginia Tech; Montasir Abbas P.E., Virginia Polytechnic Institute and State University

Tagged Topics

NSF Grantees Poster Session

game and 10for DZ-Man game) in all the cases. The significance levels are 0.0051 for 2014 DZ-Man data,0.0006 for 2015 DZ-Man data, and 0.0006 for 2015 Angry Curves data. This means the increasesof students’ understanding on the targeted concepts (reflected by the quiz scores) are statisticallysignificant. a) 2014 DZ-Man data b) 2015 DZ-Man data c) 2015 Angry Curves data Figure 7. Matched Pairs T-Tests for Different Experiments Pre/Post Scores4. Beyond the CampusAt this stage of the project, we allow users from all over the world to have access to the games.This means the users of the games will no longer be limited within campus. The players’ datawill still be collected for further research purpose. The paper

Conference Session

ETD Projects

Collection

2017 ASEE Annual Conference & Exposition

Authors

Robert J. Korenic, Youngstown State University

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology

conclusion, the Youngstown State University (YSU) “Gateway Project,” raingarden analysisand redesign has been a YSU student problem/project based learning success. It has evolved intoan inter-departmental research and beautification project that will involve communitystakeholders. We expect the redesigned garden to be a University showpiece indicating therelationship between faculty and student research and community engagement.Works Cited: 1. Bannerman, R., E. Considine. “Rain Gardens: A How-to Manual for Homeowners. University of Wisconsin Extension. Board of Regents of University of Wisconsin, 2003. Accessed June 2014. http://learningstore.uwex.edu/assests/pdfs/GWQ037.pdf. 2. Dorsey, J., and B. Puntu. 2014. “Site

Conference Session

Emerging Computing and Information Technologies II

Collection

2017 ASEE Annual Conference & Exposition

Authors

Joseph William Beckman, Purdue University; Melissa Jane Dark, Purdue University; Pratik Kashyap, Purdue University; Sumra Bari, Purdue University, School of Electrical and Computer Engineering; Samuel S. Wagstaff Jr, Purdue University; Yingjie Chen, Purdue Polytechnic Institute; Baijian Yang, Purdue Polytechnic Institute

Tagged Topics

Diversity

Tagged Divisions

Computing & Information Technology

different representations can easily translate between them, and can assess theusefulness of a particular representation in different situations. Similarly, Spiro (1992) found thatwhen learners develop multiple representations they are better able to transfer knowledge to newdomains with increased cognitive flexibility (Spiro, 1992). Representational fluency in theSTEM fields can include: a) visualizing and conceptualizing transformation processes abstractly;b) understanding systems that do not exhibit any physical manifestations of their functions; c)transforming physical sensory data to symbolic representations and vice versa; d) quantifyingqualitative data, e) qualifying quantitative data; f) working with patterns; g) working withcontinuously