Conference Session

K-12 & Pre-College Engineering Division: Evaluation: Impact of Curriculum for PreK-12 Engineering Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Jennifer B. Listman, New York University; Vikram Kapila, New York University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division

can be evaluated not only for their effect on STEM content learning, but also for 2their effect on student attitudes which can have longer-term effects on student career choice. 3Klopfer described six categories of attitudes relevant to science education goals: attitudestowards science and scientists, attitude towards inquiry, adoption of scientific attitudes likecuriosity and open-mindedness, enjoyment of science learning experiences, interest in scienceapart from learning experiences, and interest in a career in science.The 2000 report of the National Commission on Mathematics and Science Teaching for the 21st 4Century, Before it’s Too Late, noted the U.S.’s failure to

Collection

2016 Spring ASEE Middle Atlantic Section Conference

Authors

Julius J. Marpaung; Jeff Burke; Josh Weibling

an educational environment for online control of a biped robot using MATLAB and Arduino," Mechatronics (MECATRONICS) , 2012 9th France-Japan & 7th Europe-Asia Congress on and Research and Education in Mechatronics (REM), 2012 13th Int'l Workshop on, Paris, 2012, pp. 337-344. 4. R. Grover, S. Krishnan, T. Shoup and M. Khanbaghi, "A competition-based approach for undergraduate mechatronics education using the arduino platform," Interdisciplinary Engineering Design Education Conference (IEDEC), 2014 4th, Santa Clara, CA, 2014, pp. 78-83. 5. Marpaung, Julius; Willcockson, Matthew; Widjaja, Derian; Veony, Enjelia; “Using Robotics To Enhance Learning Experience In Classroom”, ASEE Conference, San

Collection

2016 Spring ASEE Middle Atlantic Section Conference

Authors

George Tremberger; Vazgen Shekoyan; Sunil Dehipawala; Rex Taibu; David Lieberman; Tak Cheung

the graded policy. Ifthe grading has little weight on writing an explanation, the students would simply ignore theverbal thinking aspect and just apply algorithm learning to get to the numerical answers asked inphysics questions. In a typical example where a block on a ramp is connected to a verticallyhanging block via a cord, the acceleration and tension can be calculated with algorithm learning.However, in a learning assessment in terms of verbal thoughts and writing skill, most of thestudents would fail to show in their writing that the acceleration answer must be less than 9.8m/s/s; and that the tension is the force that pulls up the block on the ramp and the same tensionprevents the vertically hanging block from free falling by acting as

Conference Session

Classroom Practice I: Active and Collaborative Learning

Collection

2016 ASEE Annual Conference & Exposition

Authors

Dawn Laux, Purdue University, West Lafayette; Andrew Jackson, Purdue University, West Lafayette; Nathan Mentzer, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

importantto understand what this unbundling, that has impacted other areas such as industry, would do tothe academic environment. By understanding what binds students to the college experience,perhaps the 21st century higher education approach may be improved through more intentionalefforts that are poorly understood today.Bibliography[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] Slavich, G. & Zimbardo, P. (2012). Transformational Teaching: Theoretical Underpinnings, Basic Principles, and Core Methods. [Article

Conference Session

Mechanical Engineering Capstone Design

Collection

2016 ASEE Annual Conference & Exposition

Authors

James A. Mynderse, Lawrence Technological University; Robert W. Fletcher, Lawrence Technological University; Liping Liu, Lawrence Technological University; Andrew L. Gerhart, Lawrence Technological University; Selin Arslan; Kingman E. Yee, Lawrence Technological University

Tagged Topics

Diversity

Tagged Divisions

Mechanical Engineering

. While not a large problem in the past, students switching project teams after 1 or 2semesters caused disruption and shifted student workloads. The student preference form used isincluded in the Appendix A. Student teams were assigned, following preferences as much aspossible, during session 4. Table 5 – Engineering Projects 1 course content for Fall 2015 Session Topic Instructor(s) 1 Introduction, Safety and Security F/Y 2 Skills Inventory, Mission/Vision F/M 3 Team Organization M 4 Creative Problem Solving G 5 Design Specifications

Conference Session

Student Teams, Groups, and Collaborations

Collection

2016 ASEE Annual Conference & Exposition

Authors

Lori C. Bland, George Mason University; Stephanie Marie Kusano, University of Michigan; Aditya Johri, George Mason University

Tagged Divisions

Educational Research and Methods

. A key outcome of this research is a Framework of Professional Responsibilities toconsider how future research can examine student cognitions, behaviors, and dispositionsabout professional and ethical responsibilities. Components of the proposed framework havebeen previously described in the engineering education literature. For example, Gilbuena etal. (2015) described project management and timeline development as developed within acapstone project. However, the students’ discussion of professional and ethicalresponsibilities aligned most closely with Besterfield-Sacre et al.’s list of professional traits.Specifically, we identified self-management, task management, and team management as thekey components of students’ experience of

Conference Session

Innovative Project-Based Learning Practices in Manufacturing

Collection

2016 ASEE Annual Conference & Exposition

Authors

April M. Bryan, Western Washington University; John Andrew Lund, Western Washington University

Tagged Divisions

Manufacturing

new course in manufacturing systems, served as a source foran undergraduate research projects, and has led to the establishment of an interdisciplinaryfaculty research collaboration. It is expected to yield additional benefits such as the developmentof interdisciplinary courses, additional interdisciplinary research projects, and industrialcollaborations in the areas of manufacturing systems, automations, and controls.References [1] Waldorf, D., Alptekin, S. E., & Bjurman, R. (2006). Plotting a bright future for manufacturing education:results of a brainstorming session. Industrial and Manufacturing Engineering, 4. [2] Dessouky, M. M., Verma, S., Bailey, D. E., & Rickel, J. (2001). A methodology for developing a web

Conference Session

Engineering Cultures and Identity

Collection

2016 ASEE Annual Conference & Exposition

Authors

Allison Godwin, Purdue University, West Lafayette

Tagged Topics

ASEE Diversity Committee

Tagged Divisions

Educational Research and Methods

practices of constructing an engineering identity in a problem-based learning environment. Eur J Eng Educ. 2006;31(1):35-42. doi:10.1080/03043790500430185.7. Meyers KL, Ohland MW, Pawley AL, Silliman SE, Smith KA. Factors relating to engineering identity. Glob J Eng Educ. 2012;14(1):119-131.8. Chachra D, Kilgore D, Loshbaugh H, McCain J, Chen H. Being and becoming: gender and identity formation of engineering students. In: American Society for Engineering Education Annual Conference & Exposition; 2008.9. Johnston S, Lee A, McGregor H. Engineering as captive discourse. Techné Res Philos Technol. 1996;1(3/4):128-136.10. McNair LD, Paretti MC, Kakar A. Case study of prior knowledge: Expectations and identity

Conference Session

Solid and Structural Mechanics in Aerospace Engineering

Collection

2016 ASEE Annual Conference & Exposition

Authors

Waterloo Tsutsui, Purdue University - West Lafayette; Michael C. Loui, Purdue University - West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Aerospace

Performance with Workshop Groups," Journal of Science Education and Technology, vol. 11, no. 4, pp. 347-365, 2002.4 S. C. Hockings, K. J. DeAngelis and R. F. Frey, "Peer-Led Team Learning in General Chemistry: Implementation and Evaluation," Journal of Chemical Education, vol. 85, no. 7, pp. 990-996, 2008.5 S. Brown and C. Poor, "In-Class Peer Tutoring: A Model for Engineering Instruction," International Journal of Engineering Education, vol. 26, no. 5, pp. 1111-1119, 2010.6 T. J. Webster and K. C. Dee, "Supplemental Instruction Integrated Into an Introductory Engineering Course," Journal of Engineering Education, vol. 87, no. 4, pp. 377-383, 1998.7 R. Jacquez, V. G. Gude, A. Hanson, M. Auzenne and S. Williamson

Conference Session

Proven Strategies in Classroom Engagement Part I: Artifacts for Creative Pedagogy

Collection

2016 ASEE Annual Conference & Exposition

Authors

Anahid Behrouzi, University of Illinois, Urbana-Champaign

Tagged Divisions

Civil Engineering

potential areas of improvement.The remainder of this paper will summarize the physical models that were developed and utilizedin Spring 2015 to clarify challenging concepts in the introductory reinforced concrete coursetaught at the University of Illinois. The description for each physical model includes: targetconcept(s), suggested instructional activities, construction materials, as well as photographs. Thepaper will conclude with student feedback on the effectiveness of the models based on mid- andend-term course surveys. The overarching objective of this work is to provide other civilengineering educators with sample teaching tools to enhance students’ understanding ofreinforced concrete analysis/design theory and ability to visualize

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

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

Conference Session

Women in Engineering Division Technical Session - Understanding and Improving Female Faculty Experiences in STEM

Collection

2016 ASEE Annual Conference & Exposition

Authors

J. Kasi Jackson, West Virginia University ; Joel Alejandro Mejia, Angelo State University; Maja Husar Holmes, West Virginia University; Rachel R. Stoiko, West Virginia University

Tagged Topics

ASEE Diversity Committee, Diversity, Engineering Deans Council

Tagged Divisions

Women in Engineering

Conference Session

Women in Engineering Division Technical Session - Retention Programs for Diverse Students

Collection

2016 ASEE Annual Conference & Exposition

Authors

Abbie B Liel P.E., University of Colorado, Boulder; Eva Leong

Tagged Topics

ASEE Diversity Committee, Diversity

Tagged Divisions

Minorities in Engineering, Women in Engineering

. Analternative hypothesis is that there are more women and minorities starting civil or structuralengineering studies now than there were in the past, so the graduate student diversity willincrease as these students continue through the pipeline. However, nationwide data shows that, ifanything, women and minority representation among students in science and engineeringdisciplines has decreased slightly over the past 10 years2,5, making this hypothesis unlikely.Table 1. Demographic data obtained for university students and faculty in civil (C) and/or structural (S)engineering. FACULTY UNDERGRADUATE GRADUATE STUDENTS

Conference Session

Emerging Computing and Information Technologies I

Collection

2016 ASEE Annual Conference & Exposition

Authors

Justin L. Hess, Purdue University, West Lafayette; Lorraine G. Kisselburgh, Purdue University; Carla B. Zoltowski, Purdue University, West Lafayette; Andrew O. Brightman, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Computing & Information Technology

Conference Session

K-12 & Pre-College Engineering Division: Fundamental: K-12 Student Beliefs, Motivation, and Self Efficacy

Collection

2016 ASEE Annual Conference & Exposition

Authors

J. Jill Rogers, University of Arizona; Rebecca Primeau, University of Arizona; Noel Kathleen Hennessey, University of Arizona; James C. Baygents, University of Arizona

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division

. Proceedings of the 2011 American Society for Engineering Education Annual Conference & Exposition.Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavior change. Psychological Review, 84(2), 191.Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory, Englewood Cliffs, N.J.: Prentice-Hall, 1986.Besterfield-Sacre, M., Atman, C.J., and Shuman, L.J. (1997). Characteristics of freshman engineering students: Models for determining student attrition in engineering. Journal of Engineering Education, 86(2), 139–149.Blackwell, L. S., Trzesniewski, K. H., & Dweck, C. (2007). Implicit theories of intelligence predict achievement across an adolescent transition: A

Conference Session

Potpourri: Various Issues and Topics in Graduate Studies

Collection

2016 ASEE Annual Conference & Exposition

Authors

Catherine G.P. Berdanier, Purdue University, West Lafayette; Ekembu Kevin Tanyi, Norfolk State University; IRVING K CASHWELL Jr, Norfolk State University; Tasha Zephirin, Purdue University, West Lafayette; Monica Farmer Cox, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Graduate Studies

Conference Session

Trends in Accreditation and Assessment

Collection

2016 ASEE Annual Conference & Exposition

Authors

Donna M. Riley, Virginia Tech

Tagged Topics

Diversity

Tagged Divisions

Liberal Education/Engineering & Society

allow as little as half a year. WhenEC 2000 abandoned credit-hour bean counting, the language shifted to require “adequateattention and time” for general education subjects (while retaining numerical requirements of ayear for fundamental science and math courses and a year and a half of engineering content).Nevertheless, regardless of whether one casts EC 2000’s advancements for liberal education ofengineers as meager, incremental, or transformative, there is no doubt that the current proposedchanges, by omitting the requirement of “adequate attention and time” for educational breadth,drops the floor on well-rounded education of engineers. This change threatens to send thecountry back not just 20 years to the 1990s before EC 2000, but more than

Conference Session

Engineering Management: Six Sigma, Data Modeling, and Risk Management

Collection

2016 ASEE Annual Conference & Exposition

Authors

Ertunga C Ozelkan, University of North Carolina, Charlotte; Agnes Galambosi, University of North Carolina at Charlotte; Sandeep Krishnakumar; Arun Kottayil

Tagged Divisions

Engineering Management

critical success factors’, The TQM Journal, Vol. 22 No. 2, pp. 188-208.5. Cole, R. C. (1941). Vocational guidance for boys: a program for schools and social agencies. New York, London: Harper & Brothers.6. dos Santos Matai, P. H. L., & Matai, S. (2009). Cooperative Education: Andragogy. Retrieved from International Social Science Council,ISSC, 1, rue Miollis, Paris Cedex 15, 75732, France website: http://www.iiis.org/CDs2009/CD2009SCI/ag2009/PapersPdf/A064IQ.pdf7. Dukovska-Popovska, I., Hove-Madsen, V., & Nielsen, K. B. (2008). Teaching lean thinking through game: Some challenges. 36th European Society for Engineering Education (SEFI) on Quality Assessment, Employability & Innovation.8. Eckes, G. (2001) The Six

Conference Session

Instructional and Learning Assessment in Chemical Engineering

Collection

2016 ASEE Annual Conference & Exposition

Authors

David L. Silverstein P.E., University of Kentucky; Margot A Vigeant, Bucknell University; Mary Staehle, Rowan University

Tagged Divisions

Chemical Engineering

2015 AIChE Annual Meeting.The survey was conducted via a web-based interface hosted by runningthe open-source software LimeSurvey (limesurvey.org). E-mail invitations to participate wereinitially sent to all 158 department chairs in the United States requesting participation from thefaculty members teaching the relevant course(s). A separate request was sent directly to theinstructors of record for process controls courses during the 2014-2015 academic year based oninformation posted online. From that population, 81 usable responses representing 77 institutionsin the United States were received for a 48.7% institutional response rate.Questions were composed in consultation amongst the authors and were intended to providesome continuity with