Conference Session

Size, Civility, and the Classroom Culture: Setting Class Tone with a Student-centered Perspective

Collection

2016 ASEE Annual Conference & Exposition

Authors

Cheryl Allendoerfer, University of Washington; Denise Wilson, University of Washington; Melani Plett, Seattle Pacific University; Rebecca A Bates, Minnesota State University, Mankato; Tamara Floyd Smith P.E., Tuskegee University; Nanette M Veilleux, Simmons College

Tagged Topics

Diversity

Tagged Divisions

New Engineering Educators

affective outcomes wereinvestigated with the goal of predicting and improving engagement and connection tocommunity across a diverse range of institutions, students, teaching styles, and faculty. In theportion of the study discussed here, qualitative analysis of focus group data was used to identifydifferences in student perceptions of formal (in class) and informal (out of class) faculty supportby class size and institution type at five different institutions in engineering and computerscience majors.Research SettingThe five participating institutions in this study, described according to their Carnegieclassifications34, and their key characteristics as drawn from institutional data and missionstatements are as follows: HBCU (Masters S): A

Conference Session

Student Success II: Self-Regulatory, Metacognitive, and Professional Skills

Collection

2016 ASEE Annual Conference & Exposition

Authors

Sergio Celis, Universidad de Chile; Camila Aguirre, Universidad de Chile

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

keeping pace and routines, such as arriving on time. Finally, our study echoesprevious research in engineering education in that self-efficacy can be altered (negativelyand positively) in relatively short periods of time, which has an important effect onacademic achievement.   References1. Meyer, M., & Marx, S. (2014). Engineering dropouts: A qualitative examination of why undergraduates leave engineering. Journal of Engineering Education, 103(4), 525– 548.2. Pascarella, E. T. & Terenzini, P. T. (2005). How college affects students, volume 2. San Francisco, CA: Jossey-Bass.3. DesJardins, S. L., Ahlburg, D. A., & McCall, B. P. (1999). An event history model of student departure

Conference Session

Multidisciplinary Efforts in Upper-level Courses

Collection

2016 ASEE Annual Conference & Exposition

Authors

Mansoor Nasir, Lawrence Technological University; Eric G Meyer, Lawrence Technological University; Brian Thomas Weaver PE, Explico Engineering Co.

Tagged Divisions

Multidisciplinary Engineering

Testing of Hypothesis step.References1. Carper, K. L. (Ed.). (2000). Forensic engineering. CRC Press.2. Delatte, N. J., & Rens, K. L. (2002). Forensics and case studies in civil engineering education: State of the art. Journal of Performance of Constructed Facilities, 16(3), 98-109.3. Schweitzer, N. J., & Saks, M. J. (2007). The CSI effect: Popular fiction about forensic science affects the public's expectations about real forensic science.Jurimetrics, 357-364.4. Chen, S. E., & Janardhanam, R. (2013). Forensic engineering education reform. Proceedings of the ICE- Forensic Engineering, 166(1), 9-16.5. The American Heritage® Dictionary of the English Language, Fourth Edition Copyright © 2004, 2000 by Houghton Mifflin

Conference Session

Entrepreneurship & Engineering Innovation Division Technical Session 9

Collection

2016 ASEE Annual Conference & Exposition

Authors

William M. Jordan, Baylor University; Cynthia C. Fry, Baylor University; Kenneth W. Van Treuren, Baylor University

Tagged Divisions

Entrepreneurship & Engineering Innovation

. Cynthia C. Fry, Baylor University Cynthia C. Fry is a Senior Lecturer of Computer Science and the Director of the Computer Science Fel- lows program at Baylor University. She teaches a wide variety of engineering and computer science courses, deploys a series of faculty development seminars focused on Curiosity, Connections, and Cre- ating Value, and works collaboratively and remotely with a series of colleagues on the development of EML-based courses. She is a KEEN Fellow.Dr. Kenneth W. Van Treuren, Baylor University Ken Van Treuren is an Associate Professor in the Department of Engineering at Baylor University. He received his B. S. in Aeronautical Engineering from the USAF Academy in Colorado Springs, Colorado

Conference Session

Simulation

Collection

2015 ASEE Annual Conference & Exposition

Authors

Camilo Vieira, Purdue University; Alejandra J. Magana, Purdue University, West Lafayette; Anindya Roy, Johns Hopkins University; Michael L. Falk, Johns Hopkins University; Michael J. Reese Jr., Johns Hopkins University

Tagged Divisions

Computers in Education

should befocused on the specific subjects instead of providing too much computational support. Thus,further research is necessary to identify what are the differences between different type ofchallenges and the level of scaffolding in student understanding and student performance intransfer tasks.AcknowledgementsThis research was supported in part by the U.S. National Science Foundation under the awards#EEC1329262 and #EEC1449238. Page 26.744.10References1 Turner, P., Petzold, L., Shiflet, A., Vakalis, I., Jordan, K., & St. John, S. Undergraduate computational science and engineering education. Society for Industrial and Applied

Conference Session

Statics and Finite Element Analysis

Collection

2015 ASEE Annual Conference & Exposition

Authors

Kyle A. Watson, University of the Pacific; Ashland O. Brown, University of the Pacific; Jiancheng Liu, University of the Pacific

Tagged Topics

Diversity

Tagged Divisions

Mechanical Engineering

-stateproblem (Fig. 1) was adopted from an exercise at the end of Chapter 4 (“Two-Dimensional,Steady-State Conduction”) of Incropera et al.’s textbook25, while the transient, semi-infinitemedium problem (Fig. 2) was adopted from an exercise at the end of Chapter 4 (“Transient HeatConduction”) of Çengel and Ghajar’s textbook13.After the introduction of the problem statement and summaries of the educational objectives andrelevant FE and course theory, each ALM includes the following solutions steps (these steps areapplicable to thermal ALM’s using SolidWorks and SolidWorks Simulation, but similar steps arefollowed for ALM’s that use other software packages): 1. Using SolidWorks to create a 3-D model. The steps required to draw the model in

Conference Session

Women in Engineering Division: Strategies Beyond the Classroom

Collection

2015 ASEE Annual Conference & Exposition

Authors

Amy Elizabeth Dawson, Arizona State University; Bianca L. Bernstein, Arizona State University; Kerrie Wilkins, Arizona State University ; Jennifer M. Bekki, Arizona State University

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

%), African American (3.8%), Hispanic/Latino American (9.2%). Twenty-six percent ofthe sample identified as international students, and a similar percentage (24.2%) identifiedEnglish as their second language.Protocol To evaluate the effectiveness of the new interpersonal communication focused content, arandomized controlled trial was conducted, as it provides the strongest evidence for evaluatingthe effectiveness of an intervention49 An essential component of randomized controlled trials isthat participants are randomly split between treatment and control groups. Control group(s) arenot exposed to the intervention, while treatment group(s) are. Following treatment groupexposure, differentiations between the treatment and control groups are

Conference Session

NSF Grantees’ Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Renee M Clark, University of Pittsburgh; Autar Kaw, University of South Florida; Mary E. Besterfield-Sacre, University of Pittsburgh; Andrew Scott, Alabama A&M University

Tagged Topics

NSF Grantees Poster Session

examination data.References[1] Garrison, D., & Vaughan, N. (2008). Blended Learning in Higher Education: Framework, Principles, and Guidelines. San Francisco, CA: John Wiley & Sons, Inc., 4-8.[2] Bourne, J., Harris, D., & Mayadas, F. (2005). Online Engineering Education: Learning Anywhere, Anytime. Journal of Engineering Education, 94(1), 131-146.[3] Dziuban, C., Hartman, J., Juge, F., Moskal, P., & Sorg, S. (2006). Blended Learning Enters the Mainstream, In C. Bonk, & C. Graham (Eds.), The Handbook of Blended Learning: Global Perspectives, Local Designs (195-206), San Francisco, CA: John Wiley & Sons, Inc.[4] Twigg, C. (2003). Improving Learning and Reducing Costs: New Models for Online Learning. Educause

Conference Session

Design Pedagogy

Collection

2015 ASEE Annual Conference & Exposition

Authors

Lyndia Stacey, University of Waterloo; Andrew Trivett, University of Waterloo; Jen Rathlin, University of Waterloo; Kyu Won Choi, University of Waterloo

Tagged Divisions

Design in Engineering Education

a) The weight of the new chassis is still heavier than the original fuel cell car, which reduces run time. b) The fuel cell car`s maneuverability is limited by the size of the chassis and the type and number of sensors. c) Running time is still short (2 minute approximately) so it would be beneficial to increase this. d) New fuel cell car requires twice as much fuel in order to maintain original run times.The case activities, course concepts and report due dates were planned for five stages,summarized in Table 2. Ultimately, the students recommended design improvements for the nextversion of the chassis based on the case activity results. Students worked in teams of five andcompleted

Conference Session

Industrial Engineering Division Technical Session 3

Collection

2015 ASEE Annual Conference & Exposition

Authors

Heriberto Garcia-Reyes, Tecnologico de Monterrey; Cesia de la Garza Garza

Tagged Divisions

Industrial Engineering

social development into engineering studies8 or using PBL inleadership development9.On the other hand, general frameworks have been used for the universities to improve theirprograms and operations. The main assumption is that the same framework used by an industryis adjustable for all kind of organization, including higher education institutions. An example isthe Baldrige Education Criteria for Performance Excellence explored and adapted for some USuniversities in the 90’s. The Criteria provides codified values and concepts of performanceexcellence from industry to education. Even though models developed outside education Page 26.86.3environments

Conference Session

Qualitative Methodologies

Collection

2015 ASEE Annual Conference & Exposition

Authors

Julie P Martin, Clemson University; Aubrie Lynn Pfirman, Clemson University; Rachel K. Anderson, Clemson University; Shannon K Stefl, Clemson University; Frederick Paige, Clemson University ; Lindsey Whitfield Cain, Clemson University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

- Page 26.108.2income students, and/or students who start college significantly later than 18 years of age are atbest underrepresented, and at worst socially marginalized in many engineering classrooms.Furthermore, McIntosh explains that the myth of monoculture assumes that there is a single“normal” experience8. Recognizing and acknowledging that a “monoculture” is embeddeddeeply in the engineering education system may not be easy for those of us who are engineeringeducators and researchers. McIntosh points out that such a monoculture mirrors that of the USsocial system, not merely by what she calls “active forms” of interlocking oppressions, but moredeeply—in embedded forms—forms which “member[s] of the dominant group are taught not tosee”9

Conference Session

Engineering Management Division Technical Session 2

Collection

2015 ASEE Annual Conference & Exposition

Authors

Elizabeth A Cudney, Missouri University of Science & Technology; Julie Ezzell

Tagged Divisions

Engineering Management

launchesstudents into a successful future by promoting academic engagement, encouraging success, andimproving the overall student learning satisfaction.References1. Advisory Committee to the National Science Foundation, Directorate for Education and Human Resources, “Shaping the Future: New Expectations for Undergraduate Education in Science, Mathematics, Engineering, and Technology (SME&T)”, NSF 96-139. Page 26.120.132. Cudney, E., Corns, S., Grasman, S., Gent, S., and Farris, J., “Enhancing Undergraduate Engineering Education of Lean Methods using Simulation Learning Modules within a Virtual Environment”, ASEE Annual Conference &

Conference Session

Flipped Classrooms in Mechanics

Collection

2015 ASEE Annual Conference & Exposition

Authors

Keri Ryan, University of Nevada, Reno; Adam Kirn, Univeristy of Nevada, Reno

Tagged Divisions

Mechanics

success. 4. Flipped classroom strategies that involve providing instructor feedback to students on an individualized basis require significant resources. Scheduling and proper classroom setup can pose additional challenges. Institutions must adapt to accommodate the changing educational needs.References 1. Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 201319030. 2. Prince, M. (2004). Does active learning work? A review of the research. Journal of engineering education, 93(3), 223-231. 3. Tucker, B

Conference Session

Multidisciplinary Course Development

Collection

2015 ASEE Annual Conference & Exposition

Authors

Jacquelyn Kay Nagel, James Madison University

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering

. 107th ASEE Annual Conference & Exposition, St. Louis, Missouri.14. System Dynamics Society (2015) www.systemdynamics.org15. Forrester, J.W. (1961) Industrial Dynamics. Cambridge, MA: The MIT Press. Reprinted by Pegasus Communications, Waltham, MA.16. Forrester, J.W. (1969) Urban Dynamics. Cambridge, MA: The MIT Press. Reprinted by Pegasus Communications, Waltham, MA.17. Aström, K.J., and Murray, R.M. (2008) Feedback Systems: An Introduction for Scientists and Engineers. Princeton University Press.18. Palm, W. J. (2014) System dynamics. New York, NY, McGraw-Hill Science.19. Zelinka, I., Vaclav, S. and Ajith, A. (2013) Handbook of Optimization: From Classical to Modern Approach. Berlin: Springer

Conference Session

Engineering Physics & Physics Division Technical Session 3

Collection

2015 ASEE Annual Conference & Exposition

Authors

Yu Gong, Purdue University; Tugba Yuksel, Purdue University; Alejandra J. Magana, Purdue University; Lynn A. Bryan, Purdue University

Tagged Divisions

Engineering Physics & Physics

images, it also tells you these theories behind” (Student CE_Se_03). “We use a lot of quantum in doing…like bonding… how the orbital form into bonds… the models of those help me … in pulling out … this is how a s orbital looks like, this is how a s orbital looks like…” (Student CE_Se_01).Integrated with interactive capabilities, students could manipulate and explore a givenphenomenon and understand the abstract concept, for example, one student said, “you could drag electrons like different levels and achieve like different colors and say wow that’s cool why did that happen. And you kind of, work through that in your head” (Student P_Ju_01). To off-load complicated mathematical calculations. Quantum mechanics

Conference Session

Engineering Ethics Division Technical Session 3

Collection

2015 ASEE Annual Conference & Exposition

Authors

Greg Rulifson, University of Colorado, Boulder; Angela R Bielefeldt, University of Colorado, Boulder

Tagged Topics

Diversity

Tagged Divisions

Engineering Ethics

author(s) and do not necessarily reflect the views of the NationalScience Foundation.Bibliography1. Leaning, J. & Guha-Sapir, D. Natural Disasters, Armed Conflict, and Public Health. N. Engl. J. Med. 369, 1836–1842 (2013).2. Garriga, E. & Melé, D. Corporate social responsibility theories: mapping the territory. J. Bus. Ethics 53, 51–71 (2004).3. National Society of Professional Engineers. NSPE Code of Ethics for Engineers. (2007).4. Herkert, J. R. in Social, ethical, and policy implications of engineering: selected readings 45–73 (IEEE Press, 2000).5. Hess, J. L. et al. Empathy and caring as conceptualized inside and outside of engineering: Extensive literature review and faculty focus group analyses. in

Conference Session

Capstone Design

Collection

2015 ASEE Annual Conference & Exposition

Authors

Larissa Cannon, Brigham Young University; Cory C Cunningham, The Boeing Company; Aaron Lau Inouye, Brigham Young University; Brett Stone, Brigham Young University; Fabian Zender, The Boeing Company

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

. 20, no. 3, pp. 305-312, 2004.[8] C. Dym, A. Agogino and O. Eris, "Engineering design thinking, teaching, and learning," Journal of Page 26.1100.15 Engineering Education, no. January, 2005.[9] N. Hotaling, B. B. Fasse, L. F. Bost, C. D. Hermann and C. R. Forest, "A Quantitative Analysis of the Effects of a Multidisciplinary Engineering Capstone Design Course," Journal of Engineering Education, vol. 101, no. 4, pp. 630-656, 2012.[10] J. L. Zayas, J. S. Lamancusa, A. L. Soyster, L. Morell and J. Jorgensen, "The Learning Factory: Industry- Partnered Active Learning," Journal of Engineering Education, no. January 2008, pp

Conference Session

Civic Engagement and Volunteerism in Engineering

Collection

2015 ASEE Annual Conference & Exposition

Authors

David A. Delaine, Universidade de São Paulo and IFEES; Jose Roberto Cardoso, Universidade de São Paulo; Joachim Walther, University of Georgia

Tagged Divisions

Community Engagement Division

Paper ID #13586Qualitative Analysis of Boundary Spanning Implications within Interviews ofEngagement StakeholdersDr. David A. Delaine, Universidade de S˜ao Paulo and IFEES David A. Delaine has a Ph.D. in electrical engineering from Drexel University, in Philadelphia, USA. He currently serves as an executive member of the International Federation of Engineering Education Societies (IFEES), as Vice President for Student Engagement, Diversity, and Inclusion. IFEES aims to strengthen engineering education practices around the world. He has recently completed his tenure as a Fulbright Scholar and is currently performing

Conference Session

Communication Across the Divisions III: Writing as Social–Technical Integration

Collection

2015 ASEE Annual Conference & Exposition

Authors

Natascha M. Trellinger, Purdue University, West Lafayette; Rebecca R. Essig, Purdue University, West Lafayette; Cary D. Troy, Purdue University, West Lafayette; Brent K. Jesiek, Purdue University, West Lafayette; Josh Boyd, Purdue University, West Lafayette

Tagged Divisions

Computing & Information Technology, Liberal Education/Engineering & Society

, Pages Textbook Title Author(s) Edition Chapter Analyzed Analyzed rd Fluid Mechanics: Cengel, Y.A., & 2014, 3 Ed. 5. Bernoulli and 230-242 Fundamentals and Cimbala, J. M. Energy Equations Applications Fundamentals of Munson, B.R., 2013, 7th Ed. 3. Elementary 141-156 Fluid Mechanics Okiishi, T. H., Fluid Dynamics – Huebsch, W.W. & The Bernoulli Rothmayer, A.P. Equation

Conference Session

Multidisciplinary Approaches for Enhancing Non-technical Skills

Collection

2015 ASEE Annual Conference & Exposition

Authors

Reneta Davina Lansiquot, New York City College of Technology; Candido Cabo, New York City College of Technology

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering

. Page 26.1404.125. References[1] Assessment and Institutional Research. (2010). CUNY Student Experience Survey. New York City College of Technology, CUNY.[2] Barnett, S. & Ceci, S (2002). When and where do we apply what we learn? A taxonomy for far transfer. Psychological Bulletin, 128(4), 612-637.[3] Bateman, C. (Ed.). (2007). Game writing: Narrative skills for videogames. Boston: Charles River Media.[4] Benander, R., & Lightner, R. (2005). Promoting transfer of learning: Connecting general education courses. The Journal of General Education, 54 (3), 199-208.[5] Brooks, R. E. (1977). Towards a theory of the cognitive processes in computer programming. International Journal of Man-Machine Studies, 9, 737-751.[6] Cabo, C

Conference Session

Cultivating Engineering Scholarship and Research Mindsets Among URM Students

Collection

2015 ASEE Annual Conference & Exposition

Authors

Amelito G. Enriquez, Canada College; Wenshen Pong P.E., San Francisco State University; Hamid Shahnasser, San Francisco State University; Hamid Mahmoodi, San Francisco State University; Cheng Chen, San Francisco State University; Xiaorong Zhang, San Francisco State University; Kwok Siong Teh, San Francisco State University; Nicholas Langhoff, Canada College

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

experiences support science career decisions and active learning.” CBE Life Sciences Education 6: 297-306.3. Russell, S. H., M.P. Hancock, and J. McCullough. (2007 ). “The pipeline. Benefits of undergraduate research experiences.” Science 316(5824): 548-9.4. Kinkel, D. H. and S. E. Henke. (2006). “Impact of undergraduate research on academic performance, educational planning, and career development.” Journal of Natural Resources and Life Sciences Education 35: 194-201.5. Lanza, J. and G. C. Smith. (1988). Undergraduate research: A little experience goes a long way. J. Coll. Sci Teach. 18:118-1206. Hunter, A-B., S. L. Laursen, and E. Seymour. (2007). “Becoming a scientist: The role of undergraduate research in students

Conference Session

Entrepreneurship & Engineering Innovation Division – Evaluating Student Behaviors and Attitudes

Collection

2015 ASEE Annual Conference & Exposition

Authors

Philip Reid Brown, Virginia Tech Department of Engineering Education; Julia M. Williams, Rose-Hulman Institute of Technology; Shannon M. Sipes, Rose-Hulman Institute of Technology

Tagged Divisions

Entrepreneurship & Engineering Innovation

the assessment of that academy.References 1. Kumar, S., & Hsiao, J. K. (2007). Engineers learn “soft skills the hard way”: Planting a seed of leadership in engineering classes. Leadership and Management in Engineering, 7(1), 18-23. 2. Galloway, P. D. (2008). The 21st Century Engineer: A Proposal for Engineering Education Reform, ASCE Press, Virginia 3. Creed, C. J., Suuberg

Conference Session

Student Success II: Self-Regulatory, Metacognitive, and Professional Skills

Collection

2016 ASEE Annual Conference & Exposition

Authors

John Chen, California Polytechnic State University - San Luis Obispo

Tagged Divisions

Educational Research and Methods

completion. The twotools were tested in various engineering courses and mixed results were found: While both toolswere adoptable, only the exam wrapper appeared to be efficacious in this study.Introduction     Metacognition, which has as its simplest definition thinking about one’s thinking, is themodern term used to capture the processes that learners use to reflect upon and take actions toimprove their learning. The psychologist John Flavell1 introduced the term in the 1970’s whileadvancing research on the topic, but ideas about the usefulness of reflection in improvinglearning began much earlier, starting with John Dewey2. Both Piaget and Vygotsky – bothrecognized widely for their theories in education – wrote of the role of metacognition in

Conference Session

NSF Grantees Poster Session I

Collection

2016 ASEE Annual Conference & Exposition

Authors

Linda Vanasupa, California Polytechnic State University, San Luis Obispo; Lizabeth T Schlemer, California Polytechnic State University

Tagged Topics

Diversity, NSF Grantees Poster Session

persistentstructure of the education system even though we were explicitly attempting to behavedifferently. As we, the faculty and students, began to recognize the structure we could let go ofthe problem and the solutions. However, this “letting go” had to occur repeatedly (almostweekly) as the issue continued to be bothersome to many of us.What are the cultural beliefs, values, and paradigms that are causing the problems of intransigentSTEM pedagogies that result in STEM cultures that are exclusive? We first note that “S” refersto the physical, or equivalently, the natural sciences; it excludes all other organized ways ofthinking, or “sciences.” Implicitly, natural sciences are prioritized over other “sciences.”The natural sciences derive knowledge through

Conference Session

Emerging Computing and Information Technologies I

Collection

2016 ASEE Annual Conference & Exposition

Authors

Douglas M. Schutz, Tokyo University of Science; Dante Dionne, Korean Air; Yong-Young Kim P.E., Konkuk University

Tagged Divisions

Computing & Information Technology

tacit.Explicit knowledge is codified and captured in archives and databases in discrete words ornumbers. Tacit knowledge, on the other hand, provides the context for developing andunderstanding explicit knowledge [7]. Tacit knowledge is not codified and is, therefore,harder to communicate. The development of tacit knowledge is a continuous activity betweenindividuals sharing experiences for mutual understanding [6].Knowledge needs to be continuously created in order for it to be continuously shared.Nonaka [6] proposes that knowledge is created through the conversion between tacit andexplicit knowledge via four modes, referred to by the acronym SECI, in a continuous cycle:1) socialization (S) is creating tacit knowledge from other tacit knowledge through

Conference Session

Student Evaluation in Design Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Olga Pierrakos, James Madison University; Robin Dawn Anderson, James Madison University; Cheryl Alyssa Welch

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

expertise in biomedical engineering students.In Proceedings of the 2001 American Society for Engineering Education Annual Conference, Albuquerque, NM[2] Brophy. S., Hodge, L. & Bransford, J. (2004, October). Work in progress – Adaptive expertise: Beyond applyacademic knowledge. In the ASEE/IEEE Frontiers in Education Conference.[3] Crawford, V. M., Schlager, M., Toyama, Y., Riel, M., & Vahey, P. (2005, April). Characterizing adaptive expertise inscience teaching. In annual meeting of the American Educational Research Association, Montreal, Quebec, Canada.[4] De Arment, S. T., Reed, E., & Wetzel, A. P. (2013). Promoting Adaptive Expertise A Conceptual Framework forSpecial Educator Preparation. Teacher Education and Special Education: The

Conference Session

International Division Technical Session 7

Collection

2016 ASEE Annual Conference & Exposition

Authors

Dhinesh Balaji Radhakrishnan, Purdue University; Jennifer Deboer, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

International

the course. Future data collection will also provide the opportunity to assess thecourse’s long-term viability and effectiveness as either a stand-alone course within thecurriculum or as an incubator that can be integrated into existing courses.References1. Streveler, R. A., Smith, K. A. & Pilotte, M. Aligning course content, assessment, and delivery: Creating a context for outcome-based education. K. Mohd Yusof, S. Mohammad, N. Ahmad Azli, M. Noor Hassan, A. Kosnin S. K, Syed Yusof (Eds.), Outcome-Based Educ. Eng. Curric. Eval. Assess. Accreditation. Hershey, Pennsylvania IGI Glob. (2012).2. Wiggins, G. P. & McTighe, J. Understanding by design. (Ascd, 2005).3. Dewey, J. Education and experience. (1938).4

Conference Session

NSF Grantees Poster Session I

Collection

2016 ASEE Annual Conference & Exposition

Authors

Sushil Acharya, Robert Morris University; Priya Manohar, Robert Morris University; Walter W Schilling Jr., Milwaukee School of Engineering; Peter Y Wu, Robert Morris University

Tagged Topics

NSF Grantees Poster Session

.2.2.1 Development Academic Partner and ActivitiesDistinguished faculty members from the Milwaukee School of Engineering and Virginia StateUniversity (a HBCU partner) have supported this project from the very beginning asDevelopment Academic Partners. Mutual interest is instrumental in this longstandingpartnership. The role of the academic development partner is well defined and involves thefollowing:  Identifying at least one local industry partner involved in software development activities  Working with assigned focus groups to critically review current course  Developing six hours of course modules to address identified gaps in a content area familiar to the university program and its local industry partner(s

Conference Session

Works in Progress: Facilitating Student Success and Inclusion

Collection

2016 ASEE Annual Conference & Exposition

Authors

Lizabeth T. Schlemer, California Polytechnic State University, San Luis Obispo; Linda Vanasupa, California Polytechnic State University, San Luis Obispo

Tagged Divisions

Educational Research and Methods

creativity and innovation. The instructordecides what should be learned based on their own paradigm of what a good engineer shouldknow, but this does not take into account the interests of the student or the ever-changing needsof the world. The underlying assumption of this predominant system is that human beings are notnatural learners and must be forced to learn through external behavioral motivations such asreward and punishment.A look through the literature shows that in the 1990’s, before No Child Left Behind (NCLB),there was much talk about grading and assessment, mostly related to standards-based grading.The discussion faded from view as the consequences of NCLB focused on the detrimental effectsof standardized testing. During these early

Conference Session

Assessment I: Developing Assessment Tools

Collection

2016 ASEE Annual Conference & Exposition

Authors

Leroy L. Long III, Embry-Riddle Aeronautical University, Daytona Beach

Tagged Divisions

Educational Research and Methods

for Applied Research. Retrieved from http://www.educause.edu/library/resources/ecar-study-undergraduate-students-and-information-technology-2012[3] Flowers, L., Pascarella, E. T., & Pierson, C. T. (2000). Information technology use and cognitive outcomes in thefirst year of college. Journal of Higher Education, 637-667.[4] Kuh, G. D., & Hu, S. (2001). The relationships between computer and information technology use, selectedlearning and personal development outcomes, and other college experiences. Journal of College StudentDevelopment, 42(3), 217-232.[5] Kvavik, R. B., Caruso, J. B., & Morgan, G. (2004). ECAR study of students and information technology 2004:Convenience, connection, control, and learning. Boulder, CO: EDUCAUSE