condition. Page 24.765.8ASEE Annual Conference, 2014 Figure 1: Psychrometric charts for heating (a) and cooling (b) seasonsWall and Windows Input: In determining our walls and windows U-Values ASHRAE Standard 90.1and ASHRAE handbook fundamentals 2009 were utilized. We went with all of the base values stipulatedby them.Outside Supply Air: To determine the amount of required outside supply air we used a spreadsheetwhich utilized both IBC and ASHRAE standard 62.1. In this spreadsheet room occupancy classificationswere given along with their areas and the normal number of occupants. Based on these simple variablesthe program
eliciting activities: assessing engineering student problem solving and skill integration processes,” International Journal of Engineering Education, vol. 26, no. 4, pp. 831–845, 2010.10. L. J. Shuman and M. Besterfield-Sacre, “The model eliciting activity (MEA) construct: moving engineering education research into the classroom,” presented at the 9th Biennial ASME Conference on Engineering Systems Design and Analysis, Haifa, Israel, 2008.11. J. A. Kaupp and B. Frank, “Investigating the Impact of Model Eliciting Activities on Development of Critical Thinking,” presented at the 120th ASEE Annual Conference & Exposition, Atlanta, 2013, pp. 1–22.12. P. A. Ralston and C. L. Bays, “Refining a Critical
Paper ID #10188Investigation of High School Pathways into Engineering (work in progress)Dr. Carla B. Zoltowski, Purdue University, West Lafayette Carla B. Zoltowski, Ph.D., is Co-Director of the EPICS Program at Purdue University. She received her B.S. and M.S. in electrical engineering and Ph.D. in engineering education, all from Purdue University. She has served as a lecturer in Purdue’s School of Electrical and Computer Engineering. Dr. Zoltowski’s academic and research interests include human-centered design learning and assessment, service-learning, ethical reasoning development and assessment, leadership, and
contributed to theirlearning in the course. The student responses used a scale of 1 to 5 where, 1= “StronglyDisagree”, 2= “Disagree”, 3= “Neutral”, 4= “Agree” and 5= “Strongly Agree”. All 51 students(100%) completed the survey at the end of the semester. Below are the statements students werepresented (hereafter, Statements will also be referenced with a letter, A-K, corresponding to thelist below): A. The extension problems helped me synthesize multiple course concepts while developing a solution to the problem. B. The extension problems required me to think creatively and critically in order to solve a more complex problem. C. The group in which I was assigned for extension problems came together as a team to
Mexico.Miss Isabella Acevedo-Rodriguez, New Mexico Institute of Mining and Technology Isabella Acevedo-Rodriguez, New Mexico Institute of Mining and Technology Isabella Acevedo-Rodriguez is a second year student at New Mexico Institute of Mining and Technology. She received her high school diploma from Alamogordo High School. She is a member of AIAA, the NMT Student Government As- sociation, Alpha Sigma Kappa: Women in Technical Studies, and a volunteer for the AIAA Design Build Fly Junior Design Team. She won the first place presentation award at the New Mexico AMP Conference in 2013.Dr. Ricardo B. Jacquez, New Mexico State University Ricardo B. Jacquez is Dean of Engineering and Regents Professor at New Mexico State
particular profile.For example, a Kolbe A™ of 6 8 2 4 indicates (a) an insistence in Follow Thru with a value of 8suggesting that this individual will approach a problem by sorting it out and organizing it first,(b) a resistance in Quick Start with a value of 2, indicating this person is resistant to risk and willnaturally work to prevent risk associated problems, and (c) accommodation in both Fact Finderand Implementer with values of 6 and 4 respectively, indicating an ability to work with basicinformation or to dig into details, and an ability to work with abstract concepts or with tangibles.When working with others, a potential for conflict arises when there is a difference of 4 orgreater within any action mode. One person seeks a solution using
, engineering self-efficacy 2 and engineering careeroutcome expectations were significant predictors of men’s persistence in engineering.Engineering self-efficacy 1 measures a student’s ability to reach academic milestones focusingon courses (Chemistry, Calculus, and Physics) as barriers. Engineering self-efficacy 2 measuresa student’s ability to reach academic milestones facing all undergraduate engineering majors.This tells us that, for this sample, mastering coursework (earning an A or B) is the mostsignificant predictor for women’s persistence in engineering, and completing coursework (notnecessarily obtaining an A or B—merely completing the course) is the most significant predictorfor men’s persistence in engineering. For both men and women
. Wilson, L.O., “Beyond Bloom – A New Version of the Cognitive Taxonomy”, http://www4.uwsp.edu/education/lwilson/curric/newtaxonomy.htm, 30 December 2013.4. “A Model of Learning Objectives”, http://www.celt.iastate.edu/pdfs-docs/teaching/RevisedBloomsHandout.pdf, 30 December 2013.5. Svinicki, M.D. (2005). Idea Paper #41: Student Goal Orientation, Motivation, and Learning. The IDEA Center. Manhattan, KS.6. Oakley, B., Felder, R., Brent, R., and Elhajj, I. (2004). Turning Student Groups into Effective Teams. J. Student Centered Learning, 2(1), 9-34.7. Finelli, C.J., Bergom, I., and Mesa V. (2011). CRLT Occasional Paper #29: Student Teams in the Engineering Classroom and Beyond. Center for Research on Learning and Teaching
] L. Kohlberg, " Essays on Moral Development: The Philosophy of Moral Development.," New York: Harper & Row., 1981.[3] B. Puka, "The Moral Domain: Essays In The Ongoing Discussion Between Philosophy And The Social Sciences.," in The Majesty and Mystery of Kohlberg’s Stage 6. In T Wren (Ed.),, Cambridge, MA: MIT Press, 1990, pp. 182-223.[4] J. Aronfree, "Moral Development From the Standpoint Of A General Psychological Theory.," in Moral Development and Behavior: Theory, Research, and Social Issues , New York, Holt, Rinehart, and Winston, 1996, pp. 54-69.[5] R. A. Dienstbier, "The Roles of Emotions in Moral Socialization.," in Emotions, Cognition, and Behavior , New York, Cambridge University Press, 1984, pp. 424-514.[6] J. M
0.876on-line resourcesQ12: I prefer to use computers to research topics 4.192 ± 0.801 4.077 ± 0.744 -0.115 0.523 Table 2. ABET Survey Questions for the Use of Cases to increase student learning MeanN = 27 PRE POST Difference p value Mean Mean (Post - Pre)ABET Q4: Ability to write a technical lab report 3.741 ± 0.9027 4.407 ± 0.6939 0.666 0.001(ABET Criteria B)ABET Q5
and Social Psychology, 1998. 74(3): p. 629–645.21. Wolfe, J. and E. Powell, Gender and Expressions of Dissatisfaction: A Study of Complaining in Mixed- Gendered Student Work Group. Women and Language, 2006. 29(2): p. 13-21.22. Rudman, L. and J.E. Phelan, Backlash effects for counterstereotypical behavior in organizations. In A. Brief & B. M. Staw (Eds.),Research in organizational behavior (Vol. 28, pp. 61–79). New York, NY: Elsevier. 2008.23. Natishan, M.E., L.C. Schmidt, and P. Mead, Student focus group results on student team performance issues. Journal of Engineering Education, 2000. 89(1): p. 269-272.24. Singeltary, S.L., et al. Overview: Stereotype Threat: Causes, Effects, & Remedies. AWE CASEE ARP
Paper ID #9508Using Natural Language Processing Tools to Classify Student Responses toOpen-Ended Engineering Problems in Large ClassesDr. Matthew A Verleger, Embry-Riddle Aeronautical Univ., Daytona Beach Matthew Verleger is Assistant Professor in Freshman Engineering at Embry-Riddle Aeronautical Univer- sity. He has a BS in Computer Engineering, an MS in Agricultural & Biological Engineering, and a PhD in Engineering Education, all from Purdue University. Prior to joining the Embry-Riddle faculty, he spent two years as an Assistant Professor of Engineering Education at Utah State University. His research inter
courses in 3D modeling, virtual collaboration, 3D data interoperability, and graphics standards and data exchange. Professor Hartman also leads a team in the development and delivery of the online Purdue PLM Certificate Program and in the development of the next-generation manufacturing curriculum at Purdue focusing on manufacturing systems and the holistic product lifecycle.Amy B Mueller, Purdue University, West Lafayette Amy B Mueller is a Clinical Assistant Professor in the College of Technology, Purdue University, West Lafayette campus. She received her BS in ME from Purdue University and her MBA in Information Systems from the University of Toledo. Before joining the faculty in 2012, Ms. Mueller spent over 30
engineering investigators focusing on their own personal experience and observations, all related to growing concerns about student motivation and learning. These are summarizedbelow:(a) Even though there exists rich empirical evidence about the success of student-centered approaches (e.g. project-based, inquiry-based, active learning, etc.) in improving student motivation and learning [1-5], most engineering instructors at FAU continue to follow traditional method of unidirectional lecture-based instructions.(b) In an effort to improve teaching and learning, Florida Atlantic University has sponsored more than twenty five Faculty
what will happen. The studentsnext investigate the situation by experimenting with physical hardware that becomes the“authority”, thus forcing students to confront any misconceptions. Although the exact definitionof inquiry-based instruction varies somewhat between different investigators, this study uses thedefining features offered by Laws et al.14 and highlighted by Prince and Vigeant.11 The basiccontent of an IBLA is summarized in Table 1Table 1: Elements of Inquiry Based Learning Activities.(a) Use peer instruction and collaborative work(b) Use activity-based guided-inquiry curricular materials(c) Use a learning cycle beginning with predictions(d) Emphasize conceptual understanding(e) Let the physical world be the authority(f) Evaluate
on the document camera) B. In-class exercise completed as a team 10 minutes at each table C. Computer module completion 15 minutes D. Open lab time to work on all 35-40 minutes homework problemsAfter the students completed the in-class exercise, students (voluntarily) came up to the front ofthe room to share with the class how his/her team created the drawing. Also, while each tablewas working on the in-class exercise, the instructor and two Teaching Assistants (TAs) walkedfrom table to table to offer guidance and/or check that the students’ drawings were donecorrectly.Each module typically had four worksheets that represented
. Montfort, D. and S. Brown (2011). Building fundamental engineering knowledge: Identification and classification of engineering students' preconceptions in mechanics of materials. Annual Conference of the American Educational Research Association, New Orleans, LA. 8. Andrews, B., S. Brown, D. Montfort and M. Dixon (2010). Student understanding of sight distance in geometric design: A beginning line of inquiry to characterize student understanding of transportation engineering. Transportation Research Record 2199: 1-8. 9. Davis, S., S. Brown, R. Borden and D. Montfort (In Press). Embedded knowledge in transportation engineering: Comparisons between engineers and instructors. ASCE Journal of
a program. 2. Ambassadors must be trained to interact with first-year students in non-intimidating Page 24.1308.7 ways. a. Such topics as stereotyping, stereotype threat, and developmental challenges associated with transitions should be discussed. b. Training should focus on communication, interpersonal relations, perspective- taking, and features and characteristics of academic culture. 3. Ambassadors should be adequately compensated for their work. Payment helps to convey expectations of professionalism and ensures ambassadors have time to commit to tasks without distractions
minutes, tosign the consent form and answer questions about their biographical and educationalbackgrounds, as well as their previous research experience. Second, after completing the firstdraft of their research paper, participants were sent a link to the online survey questionnaire withmultiple choice and open-ended questions about their information related challenges (the onlinequestionnaire is included in Appendix B). The third step of the study was the second face-to-face interview, ranging from 45 to 60 minutes, which was conducted after participants completedthe online questionnaire. Interview questions were based on individual participants’ surveyresponses. The second interview was to gather further qualitative data about the challenges
Paper ID #9625A Multidisciplinary Design and Analysis for a Green Roof InstallationDr. Brandon S Field, University of Southern IndianaDr. Kerry S Hall, University of Southern Indiana Kerry Hall teaches civil engineering materials and structural engineering at the University of Southern Indiana, Evansville. Page 24.74.1 c American Society for Engineering Education, 2014 A Multidisciplinary Design and Analysis for a Green Roof InstallationAbstractA
Paper ID #10409Helicopters as a Theme in a Machine Design CourseMr. Devin Turner, Marquette University DEVIN TURNER is a senior mechanical engineering student at Marquette University. He is president of the Marquette American Society of Mechanical Engineers and a member of the Student Advisory Board to the Department Chair. His professional experience includes working for the Space Shuttle Program at NASA Kennedy Space Center, UTC Aerospace Systems, Gulfstream Aerospace and Sikorsky Aircraft. He holds a private pilot license and has training in helicopters as well.Dr. Mark Nagurka, Marquette University MARK NAGURKA, Ph.D
24.638.74. van den Berg-Emons, H. J. G., Saris, W. H. M., de Barbanson, D. C., Westerterp, K. R., Huson, A., & van Baak, M. A. (1995). Daily physical activity of schoolchildren with spastic diplegia and of healthy control subjects. The Journal of Pediatrics, 127(4), 578–584.5. Betker, A. L., Szturm, T., Moussavi, Z. K., & Nett, C. (2006). Video game–based exercises for balance rehabilitation: A single-subject design. Archives of Physical Medicine and Rehabilitation, 87(8), 1141– 1149.6. Bjornson, K. F., Belza, B., Kartin, D., Logsdon, R., & McLaughlin, J. F. (2007). Ambulatory physical activity performance in youth with cerebral palsy and youth who are developing typically. Physical Therapy, 87(3
PollEverywhere and its impact on engagement. Thepurpose of the present study is to address this gap in the literature.III. MethodsDuring the fall semester of 2013, a pilot study was conducted in an introductory computingcourse for non-computer science majors. The purpose of this study is to investigate the influenceof PollEverywhere on student attendance and engagement with the course material in anintroductory computer science large lecture classroom (n = 291).PollEverywhere was used on a weekly basis within the lecture portion of the course. Examples ofthe polling questions include: (a) “What was the first product you purchased online?”[Open-ended], (b) “What year was the first email sent?” [Multiple choice], (c) “On a scale of 1 to 5 –how am I
hardwareexperiments.Bibliography1. Besterfield-Sacre, M., Atman, C. J., Shuman, L.J., " Characteristics of freshman engineering students: Models for determining student attrition in engineering," Journal of Engineering Education, 86, 2, 1997, 139-149.2. Grose, T. K., "The 10,000 challenge," ASEE Prism, 2012, 32-35. Page 24.608.93. Johnson, M. J., Sheppard, S. D., "Students entering and exiting the engineering pipeline-identifying key decision points and trends," Frontiers in Education, 2002.4. Olds, B. M., Miller, R. L., "The effect of a first-year integrated engineering curriculum on graduation rates and student satisfaction: A longitudinal
in STEM Education with a focus on Engineering Education within the Department of Teaching and Learning at Ohio State. He studies topics including but not limited to cognitive development, learning, teaching, and the social contexts within which they occur. He is an experienced Graduate Teaching Associate with the First-Year Engineering Program. He is also currently the Outreach Chair of the OSU American Society of Engineering Education (ASEE) Student Chapter. His research interests include: (a) technology, (b) diversity and inclusion, and (c) retention and success, with a particular focus on students in STEM fields. To contact Leroy, e-mail long.914@osu.edu.Mr. Michael Steven Williams, The Ohio State University
formulate it”, (b) “solutions to wicked problems are not computable throughoptimization calculations”, (c) problems are non-repeatable, and (d) wicked problems areaddressed in an open-ended temporal space (p. 133).2 Because wicked problems are by definitionnever solved, we discuss ‘responses’ rather than ‘solutions’ in this paper.Traditional examples of wicked problems include social issues such as homelessness or K-12education in the U.S. Most people would agree that a problem exists in these areas, but theappropriate response to that problem shows a large variation depending on individual values (e.g.charter schools, merit pay, increased public funding). Many challenges within the engineering
satisfactory. We also observed that students' learningbehaviors are slightly different in some instances between the on-campus sections and the on-line sections. We believe that some observations call for further investigations, which mayprovide insights for developing more effective learning tools, especially for online learning.Bibliography1. J. T. Bushberg, J. A. Seibert, E. M. Leidholdt, and J. Boone, Essential Physics of Medical Imaging (2nd Ed),Lippincott Williams & Wilkins, 2002.2. A. Louie, J. Izatt, and K. Ferrara, “Biomedical Imaging Graduate Education Programs: Imaging Curricula andImaging Courses”, the Whitaker Foundation Biomedical Engineering Education Summit, 2005,http://www.whitaker.org/academic/wrapup.html.3. C. B. Paschal, “The
exhibitedcommon characteristics such as not being calculus-ready. These general characteristics of theincoming freshmen are captured through a survey instrument. The data collected from the surveyare used as a benchmark and comparison tool to assess the efficacy of the cohort program in thesubsequent semesters.The following survey instruments were developed based on the objectives of the cohort: a) Student demographic survey instrument, used to collect the background details of the incoming freshmen registered in the STEM courses. b) Cohort experience survey instrument, used to collect the students’ experiences and their goalsThe survey instruments, included in the appendix, are distributed to the students in the first year
1989 from Westmoreland County Community College, the B. S. in Mechanical Engineering Technology in 1991 from Penn State Erie, The Behrend College, and the M. S. in Manufacturing Systems Engineering from the University of Pittsburgh in 1998. Mr. Nitterright is a senior member of the Society of Manufacturing Engineers SME, and a member of the American Society for Engineering Education ASEE . Fred Nitterright began his career as a machinist at Elliott Support Services in Donora, Pennsylvania in 1986. He was employed as a computer-aided draftsman at Powerex, Inc, a project engineering at Stanko Products, a process engineer at Ami-Doduco, Inc., and a project engineer and team leader at Classic Industries, Inc., in
among the raters more closely, one of the reports was read by all of the SMEs.Finally, each report assignment was organized such that the SMEs did not read the same projectsin the same order. The distribution of reports is illustrated in Table 4. Table 4: Assignment of Reports to SMEs [NOTE: All identifying information was removed from each report prior its distribution] Team # SME 1 SME 2 SME 3 SME 4 SME 5 SME 6 SME 7 A 1 1 1 B 1 1 1 C 1 1 1