., Fortenberry, N. L, Yoder, B., and Chavela Guerra, R. C. (2013). Facultydevelopment using virtual communities of practice, ASEE Conference, Atlanta.3. Shartrand, A. M., Gomez, R. L., and Weilerstein, P. (2012). Answering the call for innovation: three facultydevelopment models to enhance innovation and entrepreneurship education in engineering, ASEE AnnualConference, San Antonio.4. Henderson, C. and Dancy, M. (2011). Increasing the impact and diffusion of STEM education innovations;Engineering Education Innovation Forum, New Orleans, available online.5. Manohar, P. A., Acharya, S., Wu, P., Hansen M., Ansari, A. and Schilling, W. (2015). Case studies for enhancingstudent engagement and active learning in software V&V education, J. Education and
. (2013). The flipped classroom: A survey of the research. In Proceedings of 120th ASEE Annual Conference & Exposition. Atlanta, GA.3. Bachnak, R., & Maldonado, S. C. (2014). A flipped classroom experience : Approach and lessons learned. In Proceedings of 121st ASEE Annual Conference & Exposition. Indianapolis, IN.4. Redekopp, M. W., & Ragusa, G. (2013). Evaluating Flipped Classroom Strategies and Tools for Computer Engineering. In Proceedings of the 120th ASEE Annual Conference & Exposition. Atlanta, GA.5. Buechler, D. N., Sealy, P. J., & Goomey, J. (2014). Three Pilot Studies with a Focus on Asynchronous Distance Education. In Proceedings of 121st ASEE Annual Conference &
-developed knowledge of conceptimage and concept definition of Riemann integrals. The use of absolute value with definite integralis an important aspect of the research question for the area calculations. In this work, the goal is toobserve graduate and senior undergraduate mathematics and engineering students’ ability tocombine integral and absolute value concepts by evaluating their responses to an integral question.____________________________________________________________________Special thanks to Drs. Deborah A. Trytten and Gizem S. Aydin for their valuable discussions andinput during the preparation of the IRB approved form.MethodologyIn pedagogy, researchers needed to observe students’ comprehension of the function concept. Thedefinitions in
development framework for feedback on design In Phase 4of this project, we will investigate the impacts of training and expertise in providing feedback ondesign.Bibliography1. Simon, H. A., The sciences of the artificial. MIT press: Cambridge, MA, 1969; Vol. 136.2. ABET Accreditation criteria and supporting documents. http://www.abet.org/accreditation-criteria-policies- documents/.3. NAE, The engineering of 2020: Visions of engineering in the new century. The National Academic Press: Washington, DC, 2004.4. DiefesDux, H. A.; Zawojewski, J. S.; Hjalmarson, M. A.; Cardella, M. E., A framework for analyzing feedback in a formative assessment system for mathematical modeling problems. Journal of Engineering Education 2012, 101 (2
focus here on the factors that influence the pedagogical choices faculty make. In particular, there is value in structuring an instructional innovation such that instructors identify the need in their own classrooms and potential mechanisms to address that need. Within this structure, instructors retain autonomy in deciding which evidence-based practice(s) will address a need in their courses without requiring infeasible levels of change. In this paper, we consider a study in which instructors participated in ongoing faculty development through which they selected and implemented an evidence-based teaching innovation in their classrooms. We focus on the factors that influence the pedagogical choices faculty make when they are given an array of
: drivers, developments and challenges. International Journal of Technology Enhanced Learning, 4(5), 304-317.12) Gray, G. (2014). A Review of Psychometric Data Analysis and Applications in Modelling of Academic Achievement in Tertiary Education. Journal of Learning Analytics, 1(1), 75-106.6) House, W. (2011). Winning the Future. Retrieved 8/30/14, from www.whitehouse.gov/winning-the-future17) Jayaprakash, S. M., Moody, E. W., Lauría, E. J., Regan, J. R., & Baron, J. D. (2014). Early Alert of Academically At-Risk Students: An Open Source Analytics Initiative. Journal of Learning Analytics, 1(1), 6-47.15) Johnson, L., Adams Becker, S., Estrada, V., & Freeman, A. (2014). NMC Horizon Report: 2014 Higher
flow rates of gases, e.g. air. As a result, wepurchased inexpensive turbine anemometers, designed and marketed to measure windspeeds. We found rotary vane anemometers with a precision of 0.1 m/s for a cost of 30dollars. However, obtaining accurate air velocity measurements with these rotary vaneanemometers requires a tight fit between the anemometer turbine shroud and theexperiment’s outlet, and a careful accounting of cross-sectional flow area through theanemometer.To measure pressure in all experiments, liquid (water) manometers were molded into theflow hardware. In this way, the pressure drop along the pipe flow experiment and thepressure drop and recovery through the Venturi nozzle are easily visualized as waterheights in liquid columns
measurement, intellectual achievements in mechatronics and contributions to product design. He has five Patents for inventions that involve interdisciplinary areas of mechanical engineering, design and computer science. Dr. Shetty has led several successful multi insti- tutional engineering projects. In partnership with Albert Einstein College, he invented the mechatronics process for supporting patients with ambulatory systems for rehabilitation. Major honors received by Pro- fessor Shetty include the James Frances Bent Award for Creativity, the Edward S. Roth National Award for Manufacturing from the Society of Manufacturing Engineers, the American Society of Mechanical Engineer Faculty Award, and the Society of
Apr 2, 2014).(2) Purdue University. Data Digest 2013 - 2014 http://www.purdue.edu/datadigest/Students/studrilldowns (accessed May 9, 2014).(3) UIUC. IUIC Student Enrollment http://www.dmi.illinois.edu/stuenr/ (accessed Jan 1, 2014).(4) Institute of International Education. Open Doors Report 2013 http://www.iie.org/Who-We-Are/News-and- Events/Press-Center/Press-releases/2013/2013-11-11-Open-Doors-Data.(5) Altbach, P. G.; Knight, J. J. Stud. Int. Educ. 2007, 11, 290.(6) Wang, Y. Young Chinese Students ’ Teamwork Experiences In A UK Business School, PhD Thesis. University of Westminster, 2010.(7) Nassim, S. Z. The World is Knocking on our Doors : International Students and Support Services Programs
Acknowledgements: This material is based upon work supported through a grant fromthe T. Denny Sanford School of Social and Family Dynamics and in part by the NationalScience Foundation (NSF) and the Department of Energy (DOE) under NSF CA No.EEC-1041895. Any opinions, findings and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect those of ASU, TheSanford School, NSF or DOE.References[1] Geisinger, B., & Raman, D. (2013). Why they leave: Understanding student attrition from engineering majors. International Journal of Engineering Education, 29(4), 914-925.[2] Nelson, K. G., Husman, J., Brem, S. K., Honsberg, C., & Bowden, S. (2011). Optimizing educational approaches
percentage value for each of his or her MBTI attributes (e.g., 35% E and 65% I,10% S and 90% N, etc.), and the distance between each student’s personality types iscalculated using these percentages: Distance = ( f 1i − f 1i+1 )2 + ( f 2i − f 2i+1 )2 + ( f 3i − f 3i+1 )2 + ( f 4 i − f 4 i+1 )2 (10)where f1, f2, f3, and f4 represent the percentage values for each student’s four MBTIfunctions. This value is multiplied by the PersonToProject i, j,k matrix, a linear binary model thatrepresents the assignment of each student to each project in a pairwise (student-to-student)fashion. The method of converting what would have been a polynomial binary model to alinear binary model was developed by Kuo et al. 15 specifically for modeling
. in Computer and Information Science from New Jersey Institute of Technology. She teaches in both the resident and online software engineering, systems engineering, and engineering management graduate degrees. She has published a number of articles in journals and conference proceedings in the area of technical teams and engineering education. c American Society for Engineering Education, 2016 Exploring the Value of Peer Assessment Sally S. Richmond, Kailasam Satyamurthy, and Joanna F. DeFranco The Pennsylvania State UniversityWe have collected peer-assessment (PA) and self-assessment (SA) data from two resident sections of
; Mitchell, S. (1993). Problem-based learning: a review of literature on its outcomes and implementation issues. Academic medicine, 68(1), 52-81.Albayrak, D., & Yildirim, Z. (2015). Using Social Networking Sites for Teaching and Learning: Students' Involvement in and Acceptance of Facebook® as a Course Management System. Journal of Educational Computing Research, 52(2), 155-179. doi: 10.1177/0735633115571299Angelone, L. (2014). Learning how to learn online: An online course. Ohio Journal of English Language Arts, 54(2), 47-52.Caldwell, J.E. (2007). Clickers in Large Classrooms, CBE - Life Sciences Education, Vol. 6, Spring 2007, pg. 9-20. Retrieved December 2014 from http://www.lifescied.org
planned and implementedwith the goal of making adjustments in real time for maximum outreach impact.The ultimate aim of AWE is to be a sustainable endeavor that promotes gender equity in theCOE. Short-term plans include continuing the cohort program for subsequent years. In addition,as an extension to the program, plans are underway to embed it in the university curriculum inthe COE through the creation of a class based on the existing model. Current students in thecohort will be used as teaching assistants for the class and future teaching assistants will comefrom the class. Collectively, these efforts are expected to create meaningful and lasting changefor all students in the College of Engineering.Bibliography1 Litzler, E., Jaros, S
participants, including gender, ethnicity/race, international studentstatus, intended major, etc. During the mid-point and Phase 2 administrations, we will collectrelevant information such as GPA, academic major(s) and minor(s), and intended career plans.During all three data collections, we will also ask respondents to report spiritual/religiousorientation, other relevant experiences (e.g., service learning, mission work, community service,volunteer activities, extracurricular activities, co-op/internship/work experiences, conferences,workshops, etc.), and completion of related coursework, certificate programs, etc. Thisinformation will mainly be used to perform within- and across-group comparisons and modelingof the larger quantitative data set, as
Paper ID #16190Enculturation of Diverse Students to the Engineering Practices through First-Year Engineering College ExperiencesDr. Jacques C. Richard, Texas A&M University Dr. Richard got his Ph. D. at Rensselaer Polytechnic Institute, 1989 & a B. S. at Boston University, 1984. He was at NASA Glenn, 1989-1995, taught at Northwestern for Fall 1995, worked at Argonne National Lab, 1996-1997, Chicago State, 1997-2002. Dr. Richard is a Sr. Lecturer & Research Associate in Aerospace Engineering @ Texas A&M since 1/03. His research is focused on computational plasma modeling using spectral and lattice
retake the quiz The grade should be greater than Second attempt or equal 80% (B), If not, the 0.80*grade student should retake the quiz Third attempt N/A 0.65*gradeEach mastery quiz involves 10-14 multiple choice questions. The quizzes are administeredonline using a learning management system – Canvas in this case. The students are given a 48-hour window to take each quiz but once the student starts the quiz, s/he will have a limited timeto finish it (between 1 and 1.5hours). The quizzes are not administered in a classroom and theycan be taken anywhere, anytime within the 48-hour
Foundationunder Grant No. 1524527. References[1] Jungst, S., Likclider, L. L., & Wiersema, J. (2003). Providing Support for Faculty Who Wish to Shift to a Learning-Centered Paradigm in Their Higher Education Classrooms. The Journal of Scholarship of Teaching and Learning 3(3), 69-81.[2] Felder, R. M., & Brent, R. (1996). Navigating the bumpy road to student-centered instruction. College teaching, 44(2), 43-47.[3] Prince, M. (2004). Does Active Learning Work? A Review of the Research. Journal of Engineering Education, 93(3), 223-231.[4] Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student
assigned both a project and a project team consisting of3-4 students who will work together until the end of spring, or 30 course weeks. Students areintroduced to their project stakeholder(s), the person or group of people who proposed the designprojects. In some cases, the stakeholders are industry representatives who partner with theuniversity it the hope of filling research needs and/or identifying talent. In other cases, facultyfrom within the school of EECS or other schools within the university with technical needspropose projects and mentor project teams. Whoever the stakeholder is, the teams endeavor tolearn their preferences and expectations so that they can best address their needs, and thisexperiential environment is continually
experience-based writing instruction and assignments, what constraints or opportunities drove the course(s) you targeted? ● What real-world/real-work communication situations (written or oral) did you choose to demonstrate professional communication competency? How have students, industry partners, and/or faculty evaluated (formally or anecdotally) the performance of students in these assignments? ● What kind of assessments have informed or validated your design and incorporation of authentic experience-based writing instruction and assignments into your engineering curriculum? ● What have been the biggest challenges in the approach you have taken, and how have you addressed them? ● If you had known when you
failures [13]. Of the 21 causes, we consider in this work the 10 that apply to studentprojects, as shown in Table 1. Table 1: Common causes of systems engineering failures. Adapted from [13]. Systems engineering failure causesFailed to consider Actor(s) in the organization failed to consider an aspect in the system design. In many cases,design aspect this causal action describes a design flaw, such as a single-point failure or component compatibility.Used inadequate Actor(s) in the organization used inadequate justification for a decision.justificationFailed to form a Actor(s) in the organization failed to form a contingency plan to implement if an
Department of Mining Engineering. He served as the Associate Dean of the College of Engineering from 1998 to 2006. He was appointed Dean of the School of Engineering at SIU Edwardsville in August 2006. He retired in 2016. Until 2000, most of Dr. Sevim’s publications were in mine systems optimization and open pit mine production planning. After 2000, in parallel with his administrative appointments, he mostly published in the area of engineering education. c American Society for Engineering Education, 2019 Avoiding the Pitfalls in International Collaborations – A case study Hasan Sevim and S. Cem Karacal hsevim@siue.edu and skaraca@siue.edu
coursecontent occurs within the 14 days following the official state date. The left edge of the graphcorresponds with the official start date of each course. The official end date of each course isshown with a black dotted line. Each seven days until the end date is shown with a dashedvertical white line (with every fourth week shown as a solid line).Cluster C1—the top layer in nano540x’s timeline, seen in Figure 4—shows a group of learnerswho stopped interacting with the course almost precisely when the course ended. This behavioris in contrast with nano540x's C3 and C4 which each also began with about 100 learners.Although more of C3 and C4’s learners departed early in the course than did C1’s, many more ofC3 and C4's learners continued to access the
evaluating teamwork models, statewide pre-college math initiatives, teacher and faculty professional development programs, and S-STEM programs.Dr. Marisa K. Orr, Clemson University Marisa K. Orr is an Assistant Professor in Engineering and Science Education with a joint appointment in the Department of Mechanical Engineering at Clemson University. Her research interests include student persistence and pathways in engineering, gender equity, diversity, and academic policy. Dr. Orr is a recipient of the NSF CAREER Award for her research entitled, ”Empowering Students to be Adaptive Decision-Makers.”Dr. Rebecca Brent, Education Designs, Inc Rebecca Brent is President of Education Designs, Inc., a consulting firm located in
. 2, no. 4, pp. 1–17, Oct. 1997.[2] R. B. Guay, “Purdue Spatial Visualization Test: Rotations,” 1977.[3] M. Jou and J. Wang, “Investigation of effects of virtual reality environments on learning performance of technical skills,” Comput. Human Behav., vol. 29, no. 2, pp. 433–438, 2013.[4] S. Gregory et al., “Virtual worlds in Australian and New Zealand higher education: Remembering the past, Understanding the present and imagining the future,” 30th Annu. Conf. Aust. Soc. Comput. Learn. Tert. Educ. ASCILITE 2013, no. December, pp. 312–324, 2013.[5] A.-H. G. Abulrub, A. Attridge, and M. A. Williams, “Virtual Reality in Engineering Education: The Future of Creative Learning,” Glob. Eng. Educ. Conf., pp. 751
S Stakeholder interviews, expert panels and course materials 75 High T Patents 13 High U University websites, agricultural extensions, research groups 108 Medium Z Photo used in design proposal presentation 5 NeutralFigure 3 - Source types, total citations, and source desirability in technical writingResults and DiscussionThe first research question asked: does the use of a flipped lesson and team meeting positivelyimpact the quality of student citations on the design and final reports? To answer this question,the team looked for an increase in the quality of citations, on the 0-5
learningmathematics and English on the cost effective 25 USD ‘Akash’ tablets. We explained the following four principles of developing innovative entrepreneurialcompetencies [13]; (a) The competencies can be developed, b) Diversity is the key, c) Start bychoosing a challenge, d) RBIS (Research-Based Instructional Strategies) catalyze development ofthe competencies. In the rest of the document, entrepreneurship would mean innovative entrepreneurship,wherein one solves problem(s) in an innovative way and makes cost-effective and ethicalsolutions available to people who are facing the problem(s). We then identified broad challenge areas such as education, health, energy, security,efficient enterprises, urban infrastructure, environment, and
by a team of six senior mechanicalengineering students at The Citadel. At the beginning of the senior capstone course sequence,these students were given project requirements by their faculty client which included thefollowing criteria: Entire apparatus should be mounted on a board/plate/etc. for easy transport Entire apparatus should fit within a 3 ft x 3 ft x 2 ft volume or less Test section should be at least 1 ft long with a cross sectional area 3 in wide and 8 in high (water level will never be higher than 6 inch high, extra 2 inch height to prevent spillage) Water speed must be variable from 0 m/s up to 0.5 m/s in the test section A flow straightener should be installed upstream of test section to
] ASME, "ASME Vision 2030 project: Drivers for Change Data Actions & Advocacy," ASME, New York2013.[3] A. Kirkpatrick, S. Danielson, and R. O. Warrington, "Reduction to Practice," Mechanical Engineering, vol. 134, pp. 38-39, Nov 2012.[4] A. Kirkpatrick, "ASME Vision 2030: Designing the Future of Mechanical Engineering Education," in Conference for Industry and Education Collaboration, Phoenix, AZ, 2013, pp. 1-38.[5] M. Prince, "Does active learning work? A review of the research," Journal of Engineering Education, vol. 93, pp. 223-231, Jul 2004.[6] S. Freeman, S. L. Eddy, M. McDonough, M. K. Smith, N. Okoroafor, H. Jordt, et al., "Active learning increases student performance in science
Paper ID #22725Work in Progress: Designing Laboratory Work for a Novel Embedded AICourseDr. Mehmet Ergezer, Wentworth Institute of Technology Mehmet Ergezer (S’06) received the B.S. and M.S. degrees in electrical and computer engineering from Youngstown State University, Youngstown, OH, USA, in 2003 and 2006, respectively. He received the D.Eng. degree in artificial intelligence from the Department of Electrical and Computer Engineering, Cleveland State University, Cleveland, OH, USA, in May 2014. From 2003 to 2005, following his internship with U.S. Steel, he was a Graduate Assistant with Youngstown State University. In