Conference Session

Pre-K12 Track - Technical Session II

Collection

2018 CoNECD - The Collaborative Network for Engineering and Computing Diversity Conference

Authors

Jacqueline Handley, University of Michigan; Elizabeth Birr Moje

Tagged Topics

Diversity, Pre K-12 Education

space in content area literacy: An examination of everyday funds of knowledge and Discourse,” Read. Res. Q., vol. 39, no. 1, pp. 38–70, Jan. 2004.[30] N. S. Nasir, A. S. Rosebery, B. Warren, and C. D. Lee, “Learning as a cultural process: Achieving equity through diversity,” in The Cambridge Handbook of the Learning Sciences, Second., Cambridge University Press, 2014, pp. 686–706.[31] H. Richard Milner, “Disrupting deficit notions of difference: Counter-narratives of teachers and community in urban education,” Teach. Teach. Educ., vol. 24, no. 6, pp. 1573–1598, Aug. 2008.[32] D. P. Crismond and R. S. Adams, “The Informed Design Teaching and Learning Matrix,” J. Eng. Educ., vol. 101, no. 4, pp. 738–797, Oct. 2012.[33] F

Conference Session

NSF Grantees Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Matthew L Dering, Penn State University; Conrad Tucker, Pennsylvania State University, University Park

Tagged Topics

NSF Grantees Poster Session

many seconds) does it become possible to determine if a student will struggle. Asimple neural network is proposed which is used to jointly classify body language and predicttask performance. By modeling the input as both instances and sequences, a peak F Score of0.459 was obtained, after observing a student for just two seconds. Finally, an unsupervisedmethod yielded a model which could determine if a student would struggle after just 1 secondwith 59.9% accuracy.1 IntroductionIn this work, the role of machine learning for planning student intervention is investigated.Specifically, t his w ork a sks t wo q uestions: ( i) C an a s tudent’s s truggles b e p redicted basedon body language? (ii) How soon can these struggles be predicted

Conference Session

Awareness, Expectations, and Recognition of Ethics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Daniel D. Burkey, University of Connecticut; Michael F. Young, University of Connecticut

Tagged Topics

Diversity

Tagged Divisions

Engineering Ethics

Education: Insights from the Defining Issues Test", ​Journal of Moral Education​, ​31​(3), 247-270 (2002).28. Kohlberg, L. "Stages of moral development." ​Moral education​, 23-92 (1971).29. Zhu, Q., Zoltowski, C.B., Feister, M.K., Buzzanell, P.M., Oakes, W.C., & Mead, A.D., "The Development of an Instrument for Assessing Individual Ethical Decision- making in Project-based Design Teams: Integrating Quantitative and Qualitative Methods", Proceedings of the 121st ASEE Annual Conference & Exposition, Paper #10060, (2014).30. “Anthropology Games”, ​Anthropology Games​, Web. 10 February 2017. http://www.anthropologygames.com/#!cards-against-anthropology/gv8v631. “Cards Against Archaeology”, ​Doug’s Archaeology: Investigating the

Conference Session

Technical Session 4a

Collection

2017 Pacific Southwest Section Meeting

Authors

Ruth E. Davis, Santa Clara University

Tagged Topics

Diversity, Pacific Southwest Section

: The Exercise of Control. New York, N.Y. W.H. Freeman andCompany. 1997.[6] Jenkins, Maura, and Robert G. Keim, “Gender Trends in Engineering Retention,” inProceeedings of the 34th ASEE/IEEE Frontiers in Education Conference, Savannah, Georgia,October, 2004.[7] Ting, S.R. “Predicting Academic Success of First-Year Engineering Students fromStandardized Test Scores and Psychosocil Variables.” International Journal of EngineeringEducation, Vol 17, No.1, 2001, pp. 75 – 80.[8] Jin, Q., Imbrie, P. K., Lin, J.J. J., and Chen, X. C., “A Multi-Outcome Hybrid Model forPredicting Student Success in Engineering.”, Proceedings of the 2011 ASEE Annual Conference& Exposition, Vancouver, British Columbia, June, 2011.[9] Brainard, S. G., and Carlin, L., “A

Collection

2017 ASEE International Forum

Authors

Vasiliy Grigoryevich Ivanov, KAZAN NATIONAL RESEARCH TECHNOLOGICAL UNIVERSITY; Mansur Galikhanov, Kazan National Research Technological University; Farida Tagirovna Shageeva, Kazan National Research Technological University

(Russia), the Inspekt mini TR – 3kN tensile testing machine (Germany),the PSKh-12(SP) gas permeability tester and specific surface meter for porous samples(Russia), the Monsanto 100S rheometer (Russia), the Rheotest 2 viscometer (Germany), theDSC Q-200 TA calorimeter (USA), the Brabender measuring mixer designed for analyzingphysico-mechanical polymer processes (Germany), the InfraLUM FT-08 IR-Fourierspectrometer (Russia), the Viscotek – GPCmax gel permeation chromatography system (GreatBritain), the Cary Eclipse Fluorescence Spectrophotometer (USA), and many other devices.Project-based learning.State-of-the-art capabilities allow the professors to give some of courses and activities inmixed groups, such as postgraduates with professionals and

Conference Session

Concurrent Paper Tracks Session I - Curriculum I

Collection

2017 ASEE International Forum

Authors

N. Krishnamurthy, (Self-employed)

Tagged Topics

Diversity, Main Forum (Podium Presentation)

students the benefit of my explanations, I opened a Q & A page on mywebsite. This worked so well that other students not in my tutorials (and tutors) would browseand ask additional questions by email, and I would respond to them also through the website. But Group-B had problems with the content. They understood and appreciated virtue ethicsfully, because it was rooted in morality based on religion and traditional social norms. There wasnear-unanimity on such issues as truthfulness, hard work, kindness, etc. Most of the Judeo-Christian Ten Commandments were reflected almost identically in the Koran, and paralleledBuddha's Eight-Fold path, and teachings of the Hindu Bhagavath Geetha. Even agnosticphilosophers Kant, Confucius and Laozi echoed

Conference Session

Concurrent Paper Tracks Session II - Study Abroad

Collection

2017 ASEE International Forum

Authors

Phillip A Mlsna, Northern Arizona University; Fang Cheng, Chongqing University of Posts and Telecommunications; David R. Scott, Northern Arizona University; Jie Yang, Northern Arizona University; Guoquan Li, Chongqing University of Posts and Telecommunications; Xi Zhou, Northern Arizona University

Tagged Topics

Main Forum (Podium Presentation)

Postsand Telecommunications (No. GJJY16-2-07).references [1] L. Cuthbert, Y. Ying, et al, “A Flagship Joint Sino-British Engineering Degree,” Meeting the Growing Demandfor Engineers and Their Educators 2010-2020 International Summit, 2007 IEEE. [2] R. M. Helms, Mapping International Joint and Dual Degrees: U.S. Program Profiles and Perspectives. ACE,CIGE Insights. [3] J. Lee, S. H. Patel, B. Lim, R. D. Geng, and Z. Jiang, “Toward Success of Collaborative Program In School ofEngineering Between the US and China,” ASEE International Forum, New Orleans, LA, 2016. [4] Q. Liu, J. Zhu, and B. Yang, “Impact of International Collaborative Engineering Education upon theEpistemological Development of Chinese Engineering Students,” ASEE Annual Conference

Conference Session

Concurrent Paper Tracks Session II - Study Abroad

Collection

2017 ASEE International Forum

Authors

Chun Kit Chui, University of Hong Kong; Hayden Kwok-Hay So, University of Hong Kong; Nyein Thwe Khaing, Dagon University

Tagged Topics

Main Forum (Podium Presentation)

to dig deeper into the science topic and clear my concepts by asking anumber of questions during the Q/A sessions with the students from various science fields.”).Furthermore, students found that they got inspired and motivated when they worked andlearned in a diverse team (e.g., “I discover more aspects that I am not familiar with when Iinteract with non-engineering specialists. This has provoked me to learn deeper and wider. Ithink that is crucial in university learning, as well as lifelong learning.”).Teamwork skills. The cross-disciplinary and cross-cultural setting in this program creates aunique opportunity for students to learn and practice teamwork skills. From the survey resultin Figure 1d, we observe that most of the participants

Conference Session

Division Experimentation & Lab-Oriented Studies: Electrical and Control Engineering

Collection

2016 ASEE Annual Conference & Exposition

Authors

Ismail Guvenc, Florida International University; Natalie Paul, Florida International University; Rhys Bowley, National Instruments; Maria Lorelei Fernandez, Florida International University

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

tohave a better learning experience, some of the answers from the students include the following:  “The lab instructions were very detailed until the end. However, the part where we had to graph the I and Q components of the signal was not clear. Lab procedures could be improved.”  “Manual is too long. For pre-lab part, it does not clearly state what is expected from us, which makes us struggle much more than required to learn.”  “Better introduction to LabVIEW and the USRP (is needed)”.  “Since LabVIEW is new to many of us, it would be greatly helpful if the lab process were taken step-by-step. Perhaps we can start with an easy example, such as an AM Demodulator and understand what is happening in the process in

Conference Session

Academe/Industry Collaboration

Collection

2019 ASEE Annual Conference & Exposition

Authors

Aparajit Koshal; Malini Natarajarathinam, Texas A&M University; Michael D. Johnson, Texas A&M University

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology

manufacturing, 13(3), 201-210.[2] van den Berg, J. P., & Zijm, W. H. (1999). Models for warehouse management: Classification and examples. International journal of production economics, 59(1-3), 519-528.[3] Chan, F. T., & Chan, H. K. (2011). Improving the productivity of order picking of a manual-pick and multi-level rack distribution warehouse through the implementation of class-based storage. Expert systems with applications, 38(3), 2686-2700.[4] Dhl, Picking: Fully autonomous self-driving robots.[5] Dadzie, K. Q., & Johnston, W. J. (1991). Innovative automation technology in corporate warehousing logistics. Journal of Business Logistics, 12(1), 63.[6] Baker, P., & Halim, Z. (2007). An

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Sarah Jane Bork, University of Michigan; Candace Rose Wiwel, University of Michigan; Max William Blackburn, University of Michigan; Aaron W. Johnson, University of Michigan; Cynthia J. Finelli, University of Michigan

Tagged Topics

NSF Grantees Poster Session

: Revised and Expanded Edition. New York, NY: Basic Books.[27] Bouwma-Gearhart, J., Sitomer, A., Fisher, K. Q., Smith, C., & Koretsky, M. (2016, June). Studying Organizational Change: Rigorous Attention to Complex Systems Via a Multitheoretical Research Model. In Proceedings of the 2016 ASEE Annual Conference & Exposition.[28] Scherr, R. E., & Hammer, D. (2009). Student behavior and epistemological framing: Examples from collaborative active-learning activities in physics. Cognition and Instruction, 27(2), 147-174.[29] Lattuca, L. R., & Litzinger, T. A. (2016). Studying teaching and learning in undergraduate engineering programs. In A. Johri & B. M. Olds (Eds.), Cambridge Handbook of Engineering Education

Conference Session

Pre-College Engineering Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Alissa Ruth, Arizona State University; Tameka Spence, Arizona State University; Joseph V. Hackman, Arizona State University; Jennifer Velez M.Ed., Arizona State University; Hope Parker, Arizona State University; Tirupalavanam G. Ganesh, Arizona State University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

. https://doi.org/10.17226/11463. 2. National Academy of Sciences (US), National Academy of Engineering (US), and Institute of Medicine (US) Committee on Underrepresented Groups and the Expansion of the Science and Engineering Workforce Pipeline. Expanding Underrepresented Minority Participation. Washington (DC): National Academies Press (US); 2011. 1, A Strong Science and Engineering Workforce. 3. Cantrell, P., Pekcan, G., Itani, A., & Velasquez‐Bryant, N. (2006). The effects of engineering modules on student learning in middle school science classrooms. Journal of Engineering Education, 95(4), 301-309. 4. Dyer, R. R., Reed, P. A., & Berry, R. Q. (2006). Investigating the relationship between

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Abhinav Dixit, Arizona State University; Uday Shankar Shanthamallu, Arizona State University; Andreas S. Spanias, Arizona State University; Sunil Rao; Sameeksha Katoch, Arizona State University; Mahesh K. Banavar, Clarkson University; Gowtham Muniraju, Arizona State University; Jie Fan, Arizona State University; Photini Spanias, Arizona State University; Andrew Strom, Corona Del Sol High School; Constantinos Pattichis; Huan Song

Tagged Topics

NSF Grantees Poster Session

assessments. The project was received well by the class as evidenced byassessments and interviews. Additional functions and exercises are being developed anddeployed in our DSP class. Details on assessments of the new functions deployed this spring inour DSP class will be reported at the conference.Acknowledgement: This research is funded in part by the NSF IUSE program.References Material Type Works CitedJournal article [1] X. Wu, X. Zhu, G. Q. Wu, and W. Ding, “Data mining with big data,” IEEE Transactions on Knowledge and Data Engineering, vol. 26, pp. 97–107, Jan 2014Conference paper

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Patrick J. Cunningham, Rose-Hulman Institute of Technology; Holly M. Matusovich, Virginia Tech; Chris Venters, East Carolina University; Sarah Anne Blackowski, Virginia Tech; Sreyoshi Bhaduri, Virginia Tech

Tagged Topics

NSF Grantees Poster Session

. , Schewan, V., Campbell, S., Saklofske, D., and Mohamed, A. (2005). Personality, Self-Regulation, and Adaptation: A Cognitive-Social Framework. In M. Boekaerts, P. Pintrich, and M. Zeidner (Eds). Handbook of Self-Regulation. Academic Press.Muis, K. R. (2007). The role of epistemic beliefs in self-regulated learning. Educational Psychologist, 42(3), 173-190.Ozubko, J. and Fugelsang, J. (2011). Remembering makes evidence compelling: Retrieval from memory can give rise to the illusion of truth. Journal of Experimental Psychology: Learning Memory, and Cognition, vol. 27, no. 1, pp. 270-276.Patton, M. Q. (2002). Qualitative research and evaluation methods. Thousand Oaks, CA: Sage Publications.Pintrich, P. R

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nadia N. Kellam, Arizona State University; Anna Montana Cirell, Arizona State University; Brooke Charae Coley, Arizona State University, Polytechnic campus; Audrey Boklage, Arizona State University

Tagged Topics

Diversity, NSF Grantees Poster Session

,” S. Sánchez-Casal and A. A. Macdonald, Eds. New York: Palgrave Macmillan US, 2009, pp. 171–187.[6] A. Kaplan and H. Flum, “Identity formation in educational settings: A critical focus for education in the 21st century,” Contemp. Educ. Psychol., vol. 37, no. 3, pp. 171–175, 2012.[7] J. U. Ogbu, “Variability in Minority School Performance: A Problem in Search of an Explanation,” Anthropol. Educ. Q., vol. 18, no. 4, pp. 312–334, 1987.[8] K. R. Malone and G. Barabino, “Narrations of race in STEM research settings: Identity formation and its Discontents,” Sci. Educ., vol. 93, no. 3, pp. 485–510, 2009.[9] D. W. Knight, L. E. Carlson, and J. F. Sullivan, “Improving Engineering Student Retention through Hands-On

Conference Session

First-year Programs Division Technical Session 5: Using Video, Games, and More in the First Year

Collection

2015 ASEE Annual Conference & Exposition

Authors

Gregory Warren Bucks, University of Cincinnati; Kathleen A. Ossman, University of Cincinnati

Tagged Divisions

First-Year Programs

Education, pp. 267-274, July 2002.4. R. Talbert, “Learning MATLAB in the Inverted Classroom,” Proceedings of the ASEE Conference, San Antonio, TX (2012).5. K. M. Kecskemety, B. Morin, “Student Perceptions of Inverted Classroom Benefits in a First-Year Engineering Course,” Proceedings of the ASEE Conference, Indianapolis, IN (2014).6. M. Stickel, S. Hari, Q. Liu, “The Effect of the Inverted Classroom Teaching Approach on Student/Faculty Interaction and Students’ Self-Efficacy,” Proceedings of the ASEE Conference, Indianapolis, IN (2014). Page 26.1698.127. N. K. Lape, R.L. Levy, D. H. Yong, K. A. Haushalter, R. Eddy, N

Conference Session

General Technical Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Mihaela Radu, SUNY Farmingdale State College; Clint S. Cole, Digilent, Inc.; Mircea Alexandru Dabacan, Technical University of Cluj-Napoca; Monica Ignat Bot, Digilent; Alex Wong, Digilent, Inc.; Joe Harris, Digilent, Inc.

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

theimpedance modulus and phase, as well as others parameters (C or L, Q) and plot the values onthe LCD display. Page 26.1775.6 Figure 3. Winning Project Europe Region - 2014USA RegionThe first Digital Design Competition was organized at Rose Hulman Institute of Technology, In,USA, starting in the academic year 2006-2007. The contest was very popular among students, anaverage of 10-15 students participating every year, despite a very busy schedule. Students whopresented their final projects received professional development credits. Starting in 2012, thecontest became national and the last three editions were organized as

Conference Session

Technical Session II

Collection

2018 FYEE Conference

Authors

Richard Tyler Cimino, ExEEd Department, Rowan University; Scott Duplicate Streiner, Rowan University

Tagged Topics

Diversity, FYEE Conference Sessions

revisedinstrument of moral judgement,” J. Ed. Psych., vol. 91, pp. 644-659, Dec. 1999.[9] Q. Zhu, C. B. Zoltowski, M. Kenny Feister, P. M. Buzzanell, W. C. Oakes, A. D Mead, “Thedevelopment of an instrument for assessing individual ethical decision-making in project-baseddesign teams: Integrating quantitative and qualitative methods,” in 121st ASEE AnnualConference & Exposition, Indianapolis, IN, USA, June 15-18, 2014, [Online]. Available:https://peer.asee.org/23130. [Accessed: Mar. 29, 2018].[10] J. Rest, S. J. Thoma, D. Navaez, M. J. Bebeau, “Alchemy and Beyond: Indexing theDefining Issues Test,” J. Ed. Psych., vol. 89, pp. 498-507, Feb. 1997.[11] Y. Dong, “Norms for DIT-2: from 2005 to 2009.” Center for the Study of EthicalDevelopment, U. Ala

Conference Session

K-12 Engineering and Pre-College Outreach Poster Session

Collection

2007 Annual Conference & Exposition

Authors

Messiha Saad, North Carolina A&T State University; William Craft, North Carolina A&T State University

Tagged Divisions

K-12 & Pre-College Engineering

output to the required input.The desired output is the power produced to propel the aircraft and the required input isthe heating value of the fuel . WP ηP = . Q in . . Qin = m HV fuelWhere HVfuel is the heating value of the fuelExperimental Results Figures 9-14 show the output results obtained from the data acquisition system. Page 12.979.12 120000 360

Conference Session

Web-Based Education

Collection

2007 Annual Conference & Exposition

Authors

James Squire, Virginia Military Institute; Vonda Walsh, Virginia Military Institute; H. Francis Bush, Virginia Military Institute; Gerald Sullivan, Virginia Military Institute; Anthony English, University of Tennessee-Knoxville

Tagged Divisions

Computers in Education

. 1910.5. Paul T. Brady, Effects of transmission delay on conversational behavior on echo-free telephone circuits. Bell System Technical Journal, 50(1):115-134, January 1971.6. Maddox, W. Todd, F. Gregory Ashby, and Corey J. Bohil. “Feedback Effects on Rule-Based and Information- Integration.”. Journal of Experimental Psychology: Learning, Memory, and Cognition. (Vol. 29, No. 4, 2003). pp. 650-662.7. Pfordresher, Peter Q. “Auditory Feedback in Music Performance: Evidence for a Dissociation of Sequencing and Timing.” Journal of Experimental Psychology. (Vol. 29, No. 4, 2003). pp. 949-964.8. Bush, H. Francis. The Use of Regression Models in Analytical Review Judgments: A Laboratory Experiment. University of Florida

Conference Session

Emerging Trends in Engineering Education Poster Session

Collection

2007 Annual Conference & Exposition

Authors

Brian Self, California Polytechnic State University; James Widmann, California Polytechnic State University

1 2 1 1 10 4 J 1 2 2 1 1 0 1 8 3 K* 1 1 1 0 0 0 0 3 2 L 0 1 1 0 0 0 0 2 2 M* 1 1 1 1 0 1 0 5 2 N 1 2 2 0 1 0 1 7 4 O* 1 1 1 1 2 0 0 6 3 P 0 0 0 1 0 0 0 1 1 Q 1 2 2 1

Conference Session

New Trends in Engineering Management Education

Collection

2008 Annual Conference & Exposition

Authors

Ertunga Ozelkan, University of North Carolina at Charlotte; Agnes Galambosi, University of North Carolina at Charlotte

Tagged Divisions

Engineering Management

Exchange Quarterly, 7(2), 257-261 [6] Martens, R., Bastiaens, T. and Kirschner, P.A. (2007), New Learning Design in Distance Education: The impact on student perception and motivation, Distance Education, 28(1), 81–93 [7] Méndez, E., Casadesús, M. and de Ciurana, Q. (2006) Gironacel ®: a virtual tool for learning quality management, Innovations in Education and Teaching International, 43(3), 313–324 [8] Ong, S.K. and Mannan.M.A. (2004), Virtual Reality Simulations and Animations in a Web-Based Interactive Manufacturing Engineering Module, Computers and Education, 43(4), 361-382 [9] Ramasundaram, V., Grunwald, S., Mangeot, A., Comerford N.B. and Bliss, C.M. (2005), Development of

Conference Session

FPD9 - First Year Learning & Assessment

Collection

2008 Annual Conference & Exposition

Authors

Eric Johnson, Valparaiso University; Doug Tougaw, Valparaiso University; Kenneth Leitch, Valparaiso University; Barbara Engerer, Valparaiso University

Tagged Divisions

First-Year Programs

equations that they could use to solve theproblems but were not told which equations to use and how to apply them.The first question involved applying the continuity equation to a water flow problem through apipe (Learning Objective #3). The actual exam question given was: Water flows from left to right in the pipe below. The velocity in the 1 m section of pipe is 1.4 m/s. Find the velocity in the 2 m section of pipe. Q 1 m diameter pipe 2 m diameter pipeThe students were asked to show all of their work as they completed the problem. The problemwas graded on an eight-point scale and the students could receive partial credit. After thestudents’ exams

Conference Session

Sustainability and Engineering Programs

Collection

2008 Annual Conference & Exposition

Authors

Qiong Zhang, Michigan Technological University; Julie Zimmerman, Yale University; James Mihelcic, Michigan Technological University; Linda Vanasupa, California Polytechnic State University

Tagged Divisions

Environmental Engineering

Engineering Education, 34(1): 26-39, 2000.14. Fink, L.D., Creating Significant Learning Experiences: An Integrated Approach to Designing College Courses, 1st ed. New York: Jossey-Bass, 2003.15. Mihelcic, J.R. and J.B. Zimmerman (with M.T. Auer, D.W. Hand, R.E. Honrath, A.S. Mayer, J.A. Perlinger, N.R. Urban, Q. Zhang, K.G. Paterson, M.R. Penn, B.E. Whitman, M.W. Milke), Environmental Engineering: Fundamentals, Sustainability, Design, John Wiley & Sons, 700 pages, publication in 2008.16. Gibbons, M.T., The Year in Numbers. American Society for Engineering Education, 2006.17. Mihelcic, J.R., Fundamentals of Environmental Engineering, John Wiley & Sons, New York, 1999.18. Chickering, A. and Z. Gamson, “Seven principles for good practice

Conference Session

Public Engineering of Engineering, K12 Standards, and Overview

Collection

2008 Annual Conference & Exposition

Authors

Kenneth Welty, University of Wisconsin, Stout; Linda Katehi, University of Illinois; Greg Pearson, National Academy of Engineering; Michael Feder, National Research Council

Tagged Divisions

K-12 & Pre-College Engineering

focused her research on the development and characterization of three-dimensional integration and packaging of high-frequency circuits with particular emphasis on MEMS devices, high-Q evanescent mode filters and the theoretical and experimental study planar circuits for hybrid-monolithic and monolithic oscillator, amplifier, and mixer applications. Professor Katehi has been the author and co-author of 9 book chapters, she has published more than 550 articles in refereed journals and symposia proceedings, she owns 13 patents and has filed 7 patent applications. She is a member of the NAE, a fellow of the American Association for the Advancement of Science (AAAS), a member of the Nominations

Conference Session

Information and Network Security

Collection

2008 Annual Conference & Exposition

Authors

Barry Cumbie, Auburn University; Chetan Sankar, Auburn University; P.K. Raju, Auburn University

Tagged Divisions

Information Systems

. International Journal of Information Management, 26(2), 128-141.6. Marshall, J., & Heffes, E. M. (2006). Surveys: Data losses spur consumer flight. Financial Executive, 22(1), 10.7. Lewis, D. (2005). Personal disaster recovery software: An essential part of business disaster recovery plans. Computer Technology Review, 25(6), 10.8. LaPage, A. & Gaylord, K. (2003). Protect against data loss with W2K’s backup utility. Windows Professional, 8(2), 8-12.9. Freeman, E. Q. (2000). E-merging risks: Operational issues and solutions in a cyberage. Risk Management, 47(7), 12-15.10. Eckert, B. (2006). Protect computerized data with off-site backups. Nursing Homes, 55(5), 42.11. Duke, B. (2006). Data security: behind the

Conference Session

Assessment of K-12 Engineering Programs and Issues

Collection

2008 Annual Conference & Exposition

Authors

Faik Karatas, Purdue University; Amy Micklos, Purdue University; George Bodner, Purdue University

Tagged Divisions

K-12 & Pre-College Engineering

. (1994). Phenomenography. In T. Husen & T. N. Postlethwaite (Eds.), The International Encyclopedia of Education (2nd ed.). (8, pp. 4424-4429). Oxford, U.K.: Pergamon.22. Marton, F. (1986). Phenomenography – A research approach to investigating different understandings of reality. Journal of Thought, 21, 28-49.23. Orgill, M. (2007). “Phenomenography.” In Theoretical Frameworks for Research in Chemistry/Science Education, G. M. Bodner & M. Orgill (Eds.). Upper Saddle River, NJ: Prentice Hall, 2007.24. White, R. T. & Gunstone, R. F. (1992). Probing understanding. London: The Falmer Press.25. Patton, M. Q. (2002). Qualitative Research & Evaluation Methods (3rd ed.). California: Sage Publication, 2002.26

Conference Session

Gender & Minority Issues in K-12 Engineering

Collection

2008 Annual Conference & Exposition

Authors

Michael Thompson, Purdue University; Pamela Turner, Purdue University EPICS; William Oakes, Purdue University

Tagged Divisions

K-12 & Pre-College Engineering

. Page 13.1162.1210. Nation, Sarah, Oakes, William, Bailey, Lowell, Heinzen, Jill, “Conversion of Collegiate EPICS to a K- 12 Program”, Proceedings of the Frontiers in Education Conference, Indianapolis, IN, October 2005.11. Patton, M. Q. (1990). Qualitative Evaluation and Research Methods 2nd Edition, Sage: Newbury Park, CA. Page 13.1162.13

Conference Session

Potpourri II

Collection

2008 Annual Conference & Exposition

Authors

Elizabeth Waterfall, Milwaukee School of Engineering; Elizabeth Albrecht, Milwaukee School of Engineering; Stephen Williams, Milwaukee School of Engineering; Owe Petersen, Milwaukee School of Engineering

Tagged Divisions

Women in Engineering

Francisco: Jossey-Bass, 1981 9. Smith, J. S., “First-year student perceptions of academic advisement: A qualitative study and reality check,” NACADA Journal, 22(2), 40, 2002 10. Kadar, R. S., “A counseling liaison model of academic advising.” Journal of College Counseling, 4(2), 2001 11. Alexitch, L.R., “The role of help-seeking attitudes and tendencies in students’ preferences for academic advising,” Journal of College Student Development, 43 (1), p. 5-14, 2002 12. Schlossberg, N. K., Lynch, A. Q., & Chickering, A. W., “Improving higher education environments for adults: Responsive programs and services from entry to departure,” San Francisco: Jossey-Bass, 1989 13. Boyer Commission on Educating Undergraduates

Collection

2021 Fall ASEE Middle Atlantic Section Meeting

Authors

Riya Aggarwal, Franklin W. Olin College of Engineering; Mira Flynn, Olin College of Engineering; Sam Daitzman, Olin College of Engineering; Diane Lam; Zachary Riggins del Rosario, Franklin W. Olin College of Engineering

-1964-12-24 (accessed May 11, 2021).[3] Z. del Rosario, “Precision Margin: First-Principles Margins for Aircraft Design Under Uncertainty,” Stanford University, 2020.[4] MMPDS-04: Metallic Materials Properties Development and Standardization (MMPDS), vol. 4. Federal Aviation Administration, 2008.[5] Composite Materials Handbook, vol. 3: Polymer Matrix Composites Materials Usage, Design, and Analysis. Warrendale, PA: SAE International, 2012.[6] W. A. Shewhart, Economic control of quality of manufactured product. D. Van Nostrand Company, Inc., 1931.[7] W. Q. Meeker, G. J. Hahn, and L. A. Escobar, Statistical Intervals: A Guide for Practitioners and Researchers. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. doi