Conference Session

Mathematics Division Technical Session 1

Collection

2015 ASEE Annual Conference & Exposition

Authors

Angela Minichiello, Utah State University; Ted Campbell, Utah State University; Jim Dorward, Utah State University; Sherry Marx, Utah State University

Tagged Divisions

Mathematics

obtaining evidence of improved studentachievement during the early “period of classroom adjustment” that occurs when an innovationis introduced into a new classroom setting and the difficulty of seeing learning improvement thefirst few times an innovation is used25 (p. 98). PI: So if you had to rate this whole experience [of using the online forum in Calculus I], one to ten, what would you rate it? MI: Pretty highly – with ten being the best, right? Q: Yeah… A: I’d say an eight. Q: An eight? A: Yeah, I’d say an eight. I mean I would love to have seen dramatic increases in performance on exams, but you know, realistically we shouldn’t even expect that

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

Multidisiplinary Student Research Experiences

Collection

2015 ASEE Annual Conference & Exposition

Authors

Tom A. Eppes, University of Hartford; Ivana Milanovic, University of Hartford

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering

  J    K   L   M  N O  P  Q   R  S  T U 21 11 3 3 9 11 3Table 2 lists the research topics and physics associated with the 21 most successful models todate. Four topics

Conference Session

NSF Grantees’ Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Seda McKIlligan, Iowa State University; Meisha Nicole Berg, Iowa State University; Shanna R. Daly, University of Michigan; Kathryn W. Jablokow, Pennsylvania State University, Great Valley; Eli M. Silk, Rutgers, The State University of New Jersey; Wesley Teerlink, Penn State University

Tagged Topics

NSF Grantees Poster Session

“ideal” approach for concept generation. Des Stud 24:341– 3554. Restrepo J, Christiaans H (2004) Problem structuring and information access in design. J Des Res 4:1551–15695. Simon HA (1973) The structure of ill structured problems. Artif Intell 4:181–2016. Förster J, Liberman N, Shapira O (2009) Preparing for novel versus familiar events: Shifts in global and local processing. J Exp Psychol Gen 138:383–3997. Chen C, Kasof J, Himsel A, Dmitrieva J, Dong Q, Xue G (2005) Effects of explicit instruction to “be creative” across domains and cultures. J Creat Behav 39:89–1108. Dorst K (2003) The problem of design problems. Expert Des 135–1479. Crismond DP, Adams RS (2012) The informed design teaching and learning matrix. J Eng Educ 101:738

Conference Session

Innovative Project-based Learning Practices in Manufacturing

Collection

2015 ASEE Annual Conference & Exposition

Authors

Dawn Wendell, Massachusetts Institute of Technology; Charles Zheng Guan, MIT-SUTD Collaboration, Massachusetts Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Manufacturing

.,  Moore,  R.  A.,  Newstetter,  W (2014).  “The  Invention  Studio:  A  University   Maker  Space   and  Culture.”  Advances   in  Engineering  Education  4(2): 1­32. [6] www.makerfaire.com, accessed 02/01/2015. [7]​  http://powerracingseries.org/​ , accessed 02/01/2015. [8] http://miters.mit.edu, accessed 02/01/2015. [9] http://www.instructables.com/member/teamtestbot, accessed 02/01/2015. [10] http://evgrandprixpurdue.org/about/, accessed 02/01/2015. [11] http://evgrandprixpurdue.org/wp­content/uploads/2014/03/reference_guide_20121.pdf, accessed 02/01/2015. [12] http://explorecourses.stanford.edu/search;jsessionid=67bwttmp9iz41frrjrdfjxtv4?q=ME+185%3A+Electric+ Vehicle+Design&filter­coursestatus­Active=on&view=catalog&

Conference Session

Faculty Development I

Collection

2015 ASEE Annual Conference & Exposition

Authors

Jim L Borgford-Parnell, University of Washington

Tagged Divisions

Educational Research and Methods

. Samuelowicz, K. & Bain, J. D. (2001). Revisiting academics’ beliefs about teaching and learning. (electronic version) Higher Education, 41, 299-325.14. Bain, K. (2004). What the Best College Teachers Do. Cambridge, MA: Harvard University Press.15. Marton, F. (1986). Phenomenography – A research approach to investigating different understandings of reality. Journal of Thought, 21 (3), 28-49.16. Merriam, S. B. (1998). Qualitative research and case study applications in education. San Francisco: Jossey- Bass.17. Patton, M. Q. (1990). Qualitative evaluation methods. (2nd ed.) Thousand Oaks, CA: Sage.18. Richardson, J. T. E. (1999). The concepts and methods of phenomenographic research. Review of Educational Research, 69

Conference Session

NSF Grantees’ Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Conrad Tucker, Pennsylvania State University, University Park; Soundar Kumara, Pennsylvania State University, University Park

Tagged Topics

NSF Grantees Poster Session

to data mine associations between different joints on a human body (red circles in Figure4) and actions that students are performing. Figure 4: Multi-modal data acquisitionThe skeletal data is transformed into numeric XYZ values for each of the joints, as seen in Figure4, with a new data sample captured once every q milliseconds, depending on the hardware Page 26.178.6capabilities. For example, for the Left Hand Node in Figure 4, the first instance of data capturedis 2.4634 (Left Hand Node X), 2.8739 (Left Hand Node Y) and 0.4105 (Left Hand Node Z),representing the 3D position of that particular joint at

Conference Session

Continuing Professional Development Division Technical Session 3

Collection

2015 ASEE Annual Conference & Exposition

Authors

Gustavo Lopez, Universidad de Costa Rica; Francisco Cocozza, CITIC; Alexandra Martinez, Universidad de Costa Rica; Marcelo Jenkins, University of Costa Rica

Tagged Divisions

Continuing Professional Development

Testing, 2012.9. M. Jenkins, A. Martinez, J. Rodriguez, and E. Rojas. Designing a blended software testing course for embedded c software engineers. In Proceedings of the Computers and Advanced Technology in Education. Acta Press, 2011.10. E. L. Jones and C. L. Chatmon. A perspective on teaching software testing. J. Comput. Sci. Coll., 16(3):92–100, Mar. 2001.11. C. Kaner and J. Bach. Black box software testing, 2005.12. C. Kaner, J. Falk, and H. Q. Nguyen. Testing Computer Software. Wiley, 2 edition, 1999.13. C. Kaner and S. Padmanabhan. Practice and transfer of learning in the teaching of software testing. In Proceedings of the 20th Conference on Software Engineering Education & Training, pages 157–166, Washington, DC

Conference Session

Data Analysis and Assessment

Collection

2015 ASEE Annual Conference & Exposition

Authors

David B. Knight, Virginia Tech, Department of Engineering Education; Cory Brozina, Virginia Tech; Eric M. Stauffer, Virginia Tech; Chris Frisina, Virginia Tech; Troy D. Abel, Virginia Tech

Tagged Divisions

Computers in Education

Big Before Massive: Scaling Up Participatory Learning Analytics. In Proceedings of the Fourth International Conference on Learning Analytics And Knowledge (pp. 93–97). New York, NY, USA: ACM. doi:10.1145/2567574.256762617 Steen, M. (2011). Tensions in human-centred design. CoDesign, 7(1), 45–60.18 Friesen, N. (2013). Learning Analytics: Readinessand Rewards. Canadian Journal of Learning & Technology, 39(4), 1–12.19 Patton, M. Q. (2002). Qualitative Research & Evaluation Methods: Thousand Oaks: Sage Publications.20 Robson, C. (2011). Real world research. West Sussex, UK: John Wiley & Sons.21 Creswell, J. W. (2009). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Thousand

Conference Session

Community Engagement in Engineering Education Projects

Collection

2015 ASEE Annual Conference & Exposition

Authors

Sudhir Kaul, Western Carolina University; Guanghsu A. Chang, Western Carolina University; Paul M. Yanik, Western Carolina University; Chip W. Ferguson, Western Carolina University

Tagged Divisions

Community Engagement Division

. Table A.1. Data Collection. Survey Response Overall Q 1 2 3 4 5 Response 1 10 15 0 1 0 1.69 2 10 13 3 0 0 1.73 3 9 11 6 0 0 1.88 4 12 13 1 0 0 1.58 5 6 13 6 1 0 2.08 6 14 11 1 0 0 1.50 7 8 13 5 0 0 1.88

Conference Session

NSF Grantees’ Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Holly M Matusovich, Virginia Tech; Rachel E McCord, University of Tennessee, Knoxville; Cheryl Carrico, Virginia Tech; Danielle Almetria Smalls, Virginia Tech Engineering Department; Philip Reid Brown, Virginia Tech Department of Engineering Education

Tagged Topics

NSF Grantees Poster Session

Association, New Orleans, LA.23 Patton, M. Q. (2002). Qualitative Research & Evaluation Methods (3rd ed.). Thousand Oaks: SAGE Publications.24 Boekaerts, M. (1992). The adaptable learning process: Initiating and maintaining behavioural change. Applied Psychology, 41(4), 377-397.25 McCord, R., & Matusovich, H. M. (Under Review). Study Context Matters: Time Crunches Lead to Coping Modes of Learning.26 Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: W.H. Freeman.27 Matusovich, H. M., Stephenson, J., Montfort, D., & Brown, S. A. (2013). Voices in Their Heads: Motivational Utterances in Engineering Problem Solving. Paper presented at the American Educational Research

Conference Session

Moving the Needle: The Complexities of Race and Gender in Engineering Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Keith J. Bowman, Illinois Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

. Journal of Engineering Education, 100(2), 225-252, 2011.13. Chronicle Staff, Chronicle of Higher Education, “Black Women May Face UniqueBarriers to Obtaining STEM Degrees,” The Ticker, September 24, 2014.http://chronicle.com/blogs/ticker/black-women-may-face-unique-barriers-to-obtaining-stem-degrees/8667514. National Action Council for Minorities in Engineering (NACME), “UnderrepresentedMinority Women in Engineering,”, Research and Policy, Vol 3, Number 3, July. Page 26.618.17http://www.nacme.org/publications/research_briefs/URMWomeninEngineering.pdf15. Whalin, R. W., Pang, Q., & Jackson, M. Gender and Diversity Trends Of BSEngineering Graduates. 2012

Conference Session

Curriculum in Engineering Leadership Development

Collection

2015 ASEE Annual Conference & Exposition

Authors

Robyn Paul, University of Calgary; Lynne Gradon Cowe Falls P.Eng., University of Calgary

Tagged Divisions

Engineering Leadership Development Division

Dirty,” in IEEE SoutheastCon, 2010, pp. 181- 184.[28] D. L. Farber, “Understanding Engineering Systems Futures : Using Scenario Analysis and Planning to Develop Engineering Systems Leadership,” Social Science Research Network, 2011.[29] D. C. Aragon, P. Golding, R. V Gonzalez, G. J. Moreno, D. Natera, R. F. O’Brien, R. T. Schoephoerster, S. A. Starks, E. Q. Villa, W. S. Walker, I. N. Webb, V. P. Manno, R. K. Miller, R. Martello, M. Somerville, L. A. Stein, J. D. Stolk, and J. Townsend, “Model Collaboration for Advancing Student-Centered Engineering Education,” in IEEE Frontiers in Education Conference, 2013, pp. 212–214.[30] W. Karwowski, T. Ahram, and B. Amaba, “A system-of-systems engineering approach to leadership and

Conference Session

International Division Technical Session 5

Collection

2015 ASEE Annual Conference & Exposition

Authors

Kacey D Beddoes, Oregon State University; Devlin Montfort, Oregon State University; Shane A. Brown P.E., Oregon State University

Tagged Topics

Diversity

Tagged Divisions

International

-Organization ofEngineering Education in the United States, Europe, and Latin America. Journal of Engineering Education, 97(4),433–447; Mitcham, C. (2009). A historico-ethical perspective on engineering education: From use and convenienceto policy engagement. Engineering Studies, 1(1), 35–53; Sato, Y. (2007). Systems Engineering and ContractualIndividualism: Linking Engineering Processes to Macro Social Values. Social Studies of Science, 37(6), 909-934;Zhu, Q. (2010). Engineering Ethics Studies in China: Dialogue Between Traditionalism and Modernism.Engineering Studies, 2(2), 85–107

Conference Session

Virtual Instruction and Collaboration

Collection

2015 ASEE Annual Conference & Exposition

Authors

Obasegun Tekena Ayodele, Obafemi Awolowo University; Lawrence O. Kehinde, Obafemi Awolowo University, Ile-Ife, Osun State; Olawale Babatunde Akinwale, Obafemi Awolowo University, Ile-Ife, Nigeria

Tagged Divisions

Computers in Education

- 1308, 1998.[6] V. Ramakrishnan, Y. Zhuang, S. Z. Hu, J. P. Chen and K. C. Tan, "Development of a Web- Based Control Experiment for a Coupled Tank," Proceedings of the American Control Conference, vol. 6, pp. 4409 - 4413, 2000.[7] C. Batur, Q. Ma, K. Larson and N. Kettenbauer, "Remote Tuning of a PID Position Controller via Internet," Proceedings of the American Control Conference, pp. 4403 - 4406, 2000.[8] F. M. Schaf and C. E. Pereira, "PID Controller Remote Tuning Experiment with Learning Environment Integration," Proceedings of 12th IFAC Symp. on Information Control Problems in Manufacturing, pp. 261- 266, 2006.[9] K. P. Ayodele, O. Akinwale, L. O. Kehinde, O. Osasona, E. O. B. Ajayi and O. O. Akinwunmi, "Advanced

Conference Session

Beyond the Classroom

Collection

2015 ASEE Annual Conference & Exposition

Authors

Joyce B. Main, Purdue University, West Lafayette; Matilde L. Sanchez-Pena, Purdue University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Universality-Diversity Scale. Meas. Eval. Couns. Dev. 33, 157–69 (2000).9. Kottke, J. L. Additional evidence for the short form of the Universality-Diversity Scale. Personal. Individ. Differ. 50, 464–469 (2011).10. Jesiek, B. K. The Origins and Early History of Computer Engineering in the United States. IEEE Ann. Hist. Comput. 35, 6–18 (2013).11. Richardson, J. W., Imig, S. & Ndoye, A. Developing Culturally Aware School Leaders Measuring the Impact of an International Internship Using the MGUDS. Educ. Adm. Q. 49, 92–123 (2013).12. Yeh, C. J. & Arora, A. K. Multicultural Training and Interdependent and Independent Self-Construal as Predictors of Universal-Diverse Orientation Among School Counselors. J. Couns. Dev

Conference Session

Latest Trends and Implementations in Manufacturing Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Guanghsu A. Chang, Western Carolina University; William R. Peterson, WRP Associates

Tagged Divisions

Manufacturing

workstations. Max (A)= (MTBFj- Availability MTTRj)/ MTBFj Utilization of each workstation as well as the average Utilization utilization of the FMS specified periods (days, weeks, Max(U j) = Q j / PCj mouths) Tooling Information on various aspects of tool control,This project uses a hypothetical case problem for designing a factory that produces 5 parts. Theseparts run through a series of processes, including: (1) Loading/Unloading, (2) Turning, (3)Milling, (4) Drilling and (5) Cleaning, with different machining sequences6. A list of workstationprocessing

Conference Session

Multidisciplinary Approaches to Sustainability and Grand Challenges

Collection

2015 ASEE Annual Conference & Exposition

Authors

Magdalini Z. Lagoudas, Texas A&M University; Jeffrey E. Froyd, Texas A&M University

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering

on their ability withrespect to the following four items: • Clearly describe a problem orally (Q15) Page 26.1178.6 • Clearly describe a problem in writing (Q16) • Explain my ability to others (Q17) • Ask probing questions that clarify fact, concepts, or relationships Q(22) 100%   80%   Unanswered   60%   A  great  deal   Moderate   40

Conference Session

Integrating Curriculum and Labs in ET Programs

Collection

2015 ASEE Annual Conference & Exposition

Authors

Ying Zhang, Texas A&M University; Jyhwen Wang, Texas A&M University; Monish S. Mamadapur, Alcon Research, Ltd.

Tagged Divisions

Engineering Technology

curriculum: a problem-andproject-based approach,” International Solid Freeform Fabrication Symposium, 2012.[14] Bohn, J.H., “Integrating rapid prototyping into the engineering curriculum – a case study,” RapidPrototyping Journal 1997, 3(1), 32-37.[15] Ann, S.H., Montero, M.,Odell, D., Roundy., S., and Wright, P.K., “Anisotropic material properties of fuseddeposition modeling ABS,” Rapid Prototyping Journal 2002, 8(4), 248-257.[16] Sood, A., Ohdar, R.K., and Mahapatra, S.S., “Parametric appraisal of mechanical property of fuseddeposition modeling processed parts,” Materials and Design 2010, 31, 287-295.[17] Sun, Q., Rizvi, G.M., Bellehumeur, C.T., and Gu., P., “Effect of processing conditions on the bondingquality of FDM polymer filaments,” Rapid

Conference Session

Virtual Instruction and Collaboration

Collection

2015 ASEE Annual Conference & Exposition

Authors

Yizhe Chang, Stevens Institute of Technology; El-Sayed S. Aziz, Stevens Institute of Technology; Zhou Zhang, Stevens Institute of Technology; Mingshao Zhang, Southern Illinois University, Edwardsville; Sven K. Esche, Stevens Institute of Technology (School of Engineering and Science)

Tagged Divisions

Computers in Education

communications technologies for process automation—an experimental study," ISA transactions, vol. 51, no. 3, pp. 461-470, 2012.[12] Y. H. Elawady and A. S. Tolba, "general framework for remote laboratory access: A standarization point of view," in 2010 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2010.[13] A. Tekin, F. Ata and M. Gökbulut, "Remote control laboratory for DSP‐controlled induction motor drives," Computer Applications in Engineering Education, vol. 20, no. 4, pp. 702-712, 2012.[14] S. Hong, X. Zheng, B. Dalage, V. Kristiansen, Ø. Strøm, M. S. Shur, T. A. Fjeldly, J.-Q. Lu and T. Ytterdal, "Conducting laboratory experiments over the Internet," IEEE Transactions on Education, vol

Conference Session

Civil Engineering Division Technical Session 8

Collection

2015 ASEE Annual Conference & Exposition

Authors

William Greenwood, University of Michigan; Dimitrios Zekkos P.E., University of Michigan, Ann Arbor

Tagged Divisions

Civil Engineering

) Studying alone 2.36 (0.85) 1.94 (0.65) Studying with others 5.36 (0.29) 5.53 (0.27) Page 26.1206.7Table 4. Student responses to survey questions (1 strong agreement, 3 neutral, 5 strong disagreement). CEE549 CEE542 Q# Question Description μ (COV) μ (COV) 4 Having an online project instead of a final exam was overall an excellent decision 1.53 (0.72) 1.82 (0.41) 5

Conference Session

Innovative Use of Technology II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Matthew A. Verleger, Embry-Riddle Aeronautical University, Daytona Beach

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

: A Description of CPR. 2007, (2003).15. Gehringer, E. F. Electronic Peer Review and Peer Grading in Computer-Science Courses. Thirty-second SIGCSE technical symposium on Computer Science Education (2001).16. Liu, E. Z., Lin, S. S. J., Yuan, S. & Chiu, C. Web-Based Peer Review: The Learner as Both Adapter and Reviewer. IEEE Trans. Educ. 44, 246–251 (2001).17. Moreira, D. A. & Silva, E. Q. A Method to Increase Student Interaction Using Student Groups and Peer Review over the Internet. Educ. Inf. Technol. 8, 47–54 (2003).18. Ngu, A. H. H., Shepherd, J. & Magin, D. Engineering the ‘Peers’ System: The Development of a Computer-Assisted Approach to Peer Assessment. in Research and Development in

Conference Session

Computer-Based Tests, Problems, and Other Instructional Materials

Collection

2015 ASEE Annual Conference & Exposition

Authors

Matthew West, University of Illinois, Urbana-Champaign; Geoffrey L. Herman, University of Illinois, Urbana-Champaign; Craig Zilles, University of Illinois, Urbana-Champaign

Tagged Divisions

Computers in Education

this case asks the student to draw the vector vˆQ,guess as a guessto the true velocity direction vector vˆQ of point Q. The question will be graded ascorrect if the true velocity direction is within a certain tolerance δ, that is, if vˆQ − vˆQ,guess < δ. Other question formats within PrairieLearn include numericalanswers and multiple choice. On the right side of the question page, the student can seetheir current mastery score, as well as question-specific information including thecurrent recommendation level, the number of points that will be awarded if this questionis answered correctly, the number of points that will be deducted if this question isanswered incorrectly, and the number of times this question has already been attempted.The

Conference Session

Teaching & Learning in Graduate Programs

Collection

2015 ASEE Annual Conference & Exposition

Authors

Diane L Peters, Kettering University

Tagged Topics

Diversity

Tagged Divisions

Graduate Studies

. E., & Bochner, A. P. (2011). Autoethnography: an overview. Historical Social Research/Historische Sozialforschung, 273-290.10. Ngunjiri, F. W., Hernandez, K. A. C., & Chang, H. (2010). Living autoethnography: Connecting life and research. Journal of Research Practice, 6(1), Article-E1.11. Reed-Danahay, D. E. (1997). Auto/ethnography: Rewriting the Self and the Social. Berg.12. Wall, S. (2008). Easier said than done: Writing an autoethnography. International Journal of Qualitative Methods, 7(1), 38-53.13. Wall, S. (2008). An autoethnography on learning about autoethnography. International Journal of Qualitative Methods, 5(2), 146-160.14. Patton, M. Q. (1990). Qualitative evaluation and research methods . SAGE

Conference Session

Design Throughout the Mechanical Engineering Curriculum

Collection

2015 ASEE Annual Conference & Exposition

Authors

David C. Jensen, University of Arkansas; Dennis Beck, University of Arkansas

Tagged Divisions

Mechanical Engineering

Annual Conference &Exposition. 2005.35. Zhu Q, Zoltowski C, Feister M, Buzzanell P, Oakes W, Mead A. The development of aninstrument for assessing individual ethical decision-making in project-based design teams:Integrating quantitative and qualitative methods. 121st ASEE Annual Conference and Exposition.2014. Page 26.1363.13

Conference Session

Capstone Design

Collection

2015 ASEE Annual Conference & Exposition

Authors

Ben David Lutz, Virginia Tech; Mike Ekoniak, Virginia Tech; Marie C Paretti, Virginia Tech; Courtney S Smith-Orr, Virginia Tech

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

, pp. Session AC 2007-894.11 R. K. Yin, Case study research: Design and methods, 5th ed. Thousand Oaks: Sage Publications, 2014.12 J. J. Pembridge, "Mentoring in engineering capstone design courses: Beliefs and practices across disciplines," Virginia Polytechnic Institute and State University, 2011.13 M. Q. Patton, Qualitative research & evaluation methods, 3rd ed. Thousand Oaks: Sage Publications, 2002.14 B. Lutz, C. Hixson, M. C. Paretti, A. Epstein, and J. Lesko, "Mentoring and facilitation in entrepreneurship education: Beliefs and practices," presented at the National Collegiate Inventors and Innovators Alliance, San Jose, CA, 2014.15 J. W. Creswell, Research design: Qualitative

Conference Session

Qualitative Methodologies

Collection

2015 ASEE Annual Conference & Exposition

Authors

Elliot P. Douglas, University of Florida; Shawn S. Jordan, Arizona State University, Polytechnic campus; Micah Lande, Arizona State University, Polytechnic campus; Amy Elizabeth Bumbaco, University of Florida

Tagged Divisions

Educational Research and Methods

between the interviewer and astudent when the student was asked to define critical thinking.A Well, I would define critical thinking as the employment of reason in order to reach a conclusion especially in regards to problem solving.Q Okay. Um, can you elaborate a bit more on that, like give me more explanation to it? Page 26.235.3A Um, more explanation of?Q Your, what you believe, maybe your reas—how you reason through something.A Okay. Um, (pause) well, I mean, you have to, well, I mean, I consider the multiple aspects that, um, are, it’s hard to phrase, let’s see…This student is having

Conference Session

First Year Programs Division Poster Session: The Best Place to Really Talk about First-Year Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Farshid Marbouti, Purdue University, West Lafayette; Heidi A. Diefes-Dux, Purdue University, West Lafayette; Johannes Strobel, Texas A&M University

Tagged Divisions

First-Year Programs

predictive mathematical models,” Computers & Education, 61, 2013, pp. 133- 143.[5] R. White, “Predicting likely student performance in a first year Science, Technology, Society course,” International Journal of Innovation and Learning, 12(1), 2012, pp. 72 - 84.[6] L. Lackey, W. Lackey, H. Grady, and M. Davis, “Efficacy of using a single, non-technical variable to predict the academic success of freshmen engineering students,” Journal of Engineering Education, 92(1), 2003, pp. 41-48.[7] Q. Jin, P.K. Imbrie, J. Lin, X. and Chen, “A multi-outcome hybrid model for predicting student success in engineering,” 118th ASEE Annual Conference and Exposition, June 2011, Vancouver, BC, Canada.[8] A. Olani

Conference Session

Division Experimentation & Lab-Oriented Studies: Bring-Your-Own-Experiments 2

Collection

2015 ASEE Annual Conference & Exposition

Authors

Roger A Beardsley PE, Central Washington University

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

No. 2 February 2007American Chemical Society(10) Vapor Pressure And Normal Boiling Point Predictions For PureMethyl Esters And Biodiesel Fuels Yuan, W; Hansen, A.C.; Zhang, Q;Fuel 84 (2005) 943–950 Page 26.318.12 Appendix: Biodiesel Lab Activity Worksheet Biodiesel Processing LabObjectives: To determine process parameters for a chemical conversion process: converting wastedeep fryer oil (triglyceride (TG) source) into fatty acid methyl ester (FAME = biodiesel) using ahomogeneous alkaline catalyst based process.Tasks:1. Listen to process outline presentation