basic concept in just 18 months.8Though they did not use a completely interactive virtual environment, such as the onedeveloped at Clemson University, they significantly reduced student learning time in 2 acquiring key concepts and used that extra time in the laboratory to teach practical skills. Thedistance learning advantage of using virtual reality was also demonstrated by Deniz et al.through their remote lab project using virtual tools.9 It is important to note however that theCA2VES virtual reality toolset is more immersive and does not require any specializedequipment as used by the researchers. Hence it is expected to be easier to implement the VRcurriculum at a broader scale and achieve
Paper ID #20366Using Audio to Train Pace in a Virtual EnvironmentDr. Ali Ahmad, Northwestern State University of Louisiana Ali Ahmad is the Head of the Engineering Technology Department at Northwestern State University of Louisiana. He received a B.Sc. degree in Industrial Engineering from the University of Jordan (Amman, Jordan; with Highest Distinction) and a M.Sc. and Ph.D. in Industrial Engineering from the University of Central Florida (Orlando, Fl, USA). He has diverse expertise in human-computer interaction, quality engineering, and simulating human-machine systems. He previously worked on projects related to transfer
, J., Goodrich, V., and Meyers, K. Teaching MATLAB in First-year Engineering: A GUI Tool Directed Approach, In 4th First Year Engineering Experience (FYEE) Conference, pp 9-10.15. Koh, M.-S., Rodriguez-Marek, E., and Talarico, C. (2007) Class Projects with Graphic User Interfaces in Matlab, In 2007 ASEE Annual Conference and Exposition, Honolulu, Hawaii.16. Pang, C. K., Wong, W. E., Li, C., and Al Mamun, A. (2008) A Toolkit with MATLAB GUI for Learning Position Error Signals in Data Storage Systems, International Journal of Engineering Education 24, 1242.17. Kim, K.-J. (2007) Computer-aided Instruction of Fundamental Mechanics Courses using Matlab, In 2007 ASEE Annual Conference and Exposition, Honolulu
director for K-12 program. Her work includes the development and design of STEM project- based learning experiences for students and teachers with emphasis on developing modules for engineer- ing design and computer science; She is focused on teacher professional development through technology enhanced and blended learning for teachers and students across urban and rural environments. Her work also involves the execution of MESA statewide signature event that showcase students work at the annual Washington MESA K-12 Engineering Design and Computer Science Challenges. c American Society for Engineering Education, 2017 MESA Community College Program: Meeting the Need for
thetension.”Measure of data collection refers to the technical section of data collection, and consist directand indirect measurement, or formal assessment and informal assessment which arefrequently innovated by program. For instance, Mr. Miller argued, “people do not tell us howthey measure things. What we are to measure specifically, I mean a-k, are very generalstatements. They have no meaning and tell you actually how to measure. It will be importantif we select direct measures and indirect measures. ” Mr.Varner argued, “we have a variety ofassessment methods like exams, projects, homework assignments, survey. There is directmeasure in the classroom. Now, we go back to look over all the experience through feedbackon how you did generally. We ask
own case, I also teach Circuit prepare the students to withstand challenges oftheory, which is the most fundamental course in 21st century posed by evolving technologies.the curriculum of Electrical and ComputerEngineering. I have shown in the classroom, how o Acknowledgement:the measurements of Resonant frequency ‘𝑓! ′, the I wish to thank the administration ofQuality factor ‘Q’ are of paramount importance in UMASS-Lowell as well as the administration ofdesigning and testing Bulk Acoustic Wave Analog Devices Inc. and Skyworks Solutions for(BAW) filters, a research project I was involved at supporting me in this endeavor. I want toSkyworks Solutions for seven years. At the
, retrieved 12 February 2017.[5] Larry Booth, Jon Preston, and Junfeng Qu, "Continuous program improvement: a project toautomate record-keeping for accreditation", In Proceedings of the 8th ACM SIGITE conferenceon Information technology education (SIGITE ’07). ACM, New York, NY, USA, 155-160, 2007.[6] Business Insider, "The 50 best computer-science and engineering schools in America",http://www.businessinsider.com/best-computer-science-engineering-schools-in-america-2015-7,retrieved 12 February 2017.[7] The California State University, "Search CSU Degrees", http://degrees.calstate.edu, retrieved12 February 2017.[8] Ernest L. Carey. "A quest for ABET accreditation: in retrospect", J. Comput. Sci. Coll. 19, 1,139-146, October 2003.[9] Computing
collected data Analyze: Compare significance and power values for each factor to distinguish significant factors Evaluate: Weigh relative impact of each factor Evaluate: Critique reasons that factors were significant or non-significant Evaluate: Critique possible sources of error and limitations Create: Devise an experimental methodIn regards to scaffolding of critical thinking and levels of Bloom’s Taxonomy one approach wouldbe to incrementally add higher level tasks as projects progressed. However, engineeringexperimentation courses offer excellent opportunities, from the very start, to develop studentthinking and learning
of required software does not tell the whole story for computer engineering. Acomputer engineering degree is not an electrical engineering degree with a minor in computerscience. There are differences in the hardware courses and the courses that mix hardware andsoftware between electrical and computer engineering. Likewise, many programs teachhardware and software to computer engineering students by way of laboratory projects andexperiments. We have made no attempt to distinguish computer engineering courses in this areaand we leave this to future studies.References1. http://www.abet.org/ABET2. "Computer Engineering Curricula 2016" was issued by the Joint Task Group on Computer Engineering Curricula from the Association for Computing
Paper ID #20551Spatial Reasoning Difference between Civil and Mechanical Engineering Stu-dents in Learning Mechanics of Materials Course: A Case of Cross-sectionalInferenceDr. Oai Ha, Western Carolina University Dr. Oai Ha is currently an Assistant Professor in mechanical engineering in the School of Engineering and Technology at Western Carolina University. He was a Postdoctoral Scholar at the School of Civil and Construction Engineering at the Oregon State University, working in the Engineering Cognition Lab on several engineering education research projects. He holds a Ph.D. in Engineering Education from Utah State
School of Architecture. In 2009, Professor Ramming joined the faculty full time as an assistant professor of architectural engineering. Since that time, she has taught classes in structural analysis, timber and steel design, engineering mechanics: statics, building foundations and numerical analysis. Professor Ramming has been named Halliburton Outstanding Young Faculty and the Outstanding Teacher for the College of Engineering, Architecture and Technology. She has also published books for Project Lead the Way and a text on Numerical Structural Analysis. Professor Ramming enjoys spending time with the students of CEAT as the advisor of the Architectural Engineering Institute and Women Inspiring Successful Engineers
Stronghold), and many talented youth, mentors, and leaders. This paper focuseson the lessons learned from five, successful rookie teams; analzying the data for commonthemes. The teams have provided lessons learned from the perspective of the leadmentors, specialized mentors, and the students; thereby creating a comprehensive list ofhelpful hints, techniques and strategies. A reminder, the FIRST competition is more than robots. It's about people, it's about learning to work together, it's working together toward a shared goal, doing teamwork, it's about finding and using each individual's unique talent to make the project team greater than the sum of its parts. It's about applying skills that will
itproduced a “wrong” answer because it failed to account for the most significant factor in ethicaldecision-making: a decision that has the potential to harm the environment, people or morespecifically children, will have a more greater impact on the decision than the current modelallows [4].A traditional cost-benefit analysis (CBA) consists of listing alternative projects and programs,listing stakeholders, and selecting measurements. In the triple bottom line approach, quantifyingsuch attributes becomes increasingly difficult as has been discussed since the introduction of thesocial and environmental components in the 1970’s. The difficulty in creating a commonmeasurement of quantity for comparing and creating a single CBA rests in the question of
c American Society for Engineering Education, 2017Design of argumentation techniques for learning engineering staticsThis manuscript reports the progress of a project investigating collective argumentation as astrategy to help students understand the various concepts taught in statics and to develop learningmodules that incorporate this learning strategy. The intent is to reduce the number students whorepeat statics, thereby enhancing the efficiency of time and resources dedicated to the course thatis critical at the University of Georgia where the engineering undergraduate student body hasgrown from 400 students in 2012 to approximately 2000 students. Indirect impacts includeaffecting how students approach material taught in upper division
LouisianaTech University for over 10 years.This work is an extension of a currently funded National Science Foundation (NSF) project, theprimary goal of which was to expand the use of WeBWorK into three sophomore-levelengineering courses: Statics and Mechanics of Materials, Circuits, and Thermodynamics. Thisprimary goal has now been achieved, and the problem suites for those courses have been adoptedby the authors’ institution and by a nearby community college which offers an associate’s degreein engineering. Currently over 40 active course sections are being hosted on the Louisiana TechUniversity WeBWorK server, which also hosts courses for other institutions, coveringmathematics and statistics (26 sections), engineering (14 sections), and engineering
manufacturing engineering workforce to be more prepared to hit theground running, with less supplementary training required of the employers in the faced-pacedmanufacturing environment.Like the other engineering programs at the institution, there is a strong emphasis on co-opopportunities and working with industry. This includes hands-on projects with industry drivenrequirements, and applied research and development opportunities at both the undergraduate andgraduate levels. The focus of this paper though, is on the development of the hands-onlaboratories of the manufacturing engineering program. Resources for undergraduate researchprojects are readily available through the realization of the hands-on laboratories formanufacturing engineering. Thus the
to assess the direct impact of entrepreneurship onengineering education. Not only the primary data would be speculative at best, but it useseconomic measures as indicators for academic success. The two do not have to beinterconnected. Rather, the assessment criteria should be more geared towards the impact ofentrepreneurship on the engineering skills of the students, such as their design thinking,teamwork, project management and economics. Although some engineering attributes are simpleto assess, such as communication and teamwork, there are very few verified tools that can assesscomplex attributes, such as investigation and design thinking. Nevertheless, having the impact onengineering attributes as a criterion will prove to be a more
justification.Beyond expected teacher- and student-driven EBR as expected from the curriculum, there wasthe possibility for additional instances of EBR throughout the classroom implementation. Therewere few examples where students organically engaged in EBR. Overall, they were comfortablemaking claims but rarely provided evidence to back up their claims.While reading the book I Get Wet in Class 1, one student excitedly connected the book’sdiscussion of wax paper to the engineering project, “I know which kind of paper we should use!Wax! It holds wet and dry!”During the introductory lesson in Class 2, one student was already forming engineering solutionswhile the class was discussing the criteria and constraints set forth by the clients, Max and Lola.“It
students’experience of the given project within the informal environment, as well as, their understandingtheir learning through this non-curricular setting. Open-ended questions were developed toencourage students’ natural statements about their experiences.The interview protocol included open-ended questions. The open-ended questions provided themeans to explore students’ thinking about their learning. Sample questions included “How wouldyou describe your process?” The purpose for this question was to understand how studentsthought about the design of their product (ABET student outcome [c]), problem solving (ABETstudent outcome [e]), and experimentation processes (ABET student outcome [b]). We did notspecifically prompt them to consider these processes
. Professor Bielefeldt’s research interests in engineering education include service-learning, sustainable engineering, social responsibility, ethics, and diversity.Dr. Jacquelyn F. Sullivan, University of Colorado, Boulder Jacquelyn Sullivan has led the multi-university TeachEngineering digital library project, now serving over 3.3M unique users (mostly teachers) annually, since its inception. She is founding co-director of the design-focused Engineering Plus degree program and CU Teach Engineering initiative in the University of Colorado Boulder’s College of Engineering and Applied Science. With the intent of transforming en- gineering to broaden participation, Sullivan spearheaded design and launch of the Engineering
Curiosity and Exploration Inventory-II (CEI-II)which measures one’s “willingness to embrace the novel, uncertain and unpredictable nature ofeveryday life” (Kashdan et al., 2009, p. 995).2.2 Mindfulness and InnovationFor the purposes of this work, and the larger Engineering Majors Survey (EMS) project that thedata stem from, we define innovation as “encompassing skills, attributes, and actions relating tonew designs and solutions that fundamentally depart from, and change thinking about,conventional practice” (Gilmartin et al., 2017, p. 4). Based on the work by Dyer et. al., the EMSdraws on five behaviors to assess innovation: questioning, observing, experimenting, ideanetworking and associative thinking (Dyer, Gregersen, & Christensen, 2008
, he has not been able to get a single ballinto the 100-point hole. The 100-point hole is located 𝐿 = 3 ft from thebase of the skee ball machine’s backboard, which is angled at 𝛽 = 20∘with respect to the horizontal. If the end of the launch ramp is ℎ = 2 ftabove the backboard’s base and oriented at 𝜃 = 45∘ to ground, how fastshould Greg project a ball up the launch ramp so that it lands in the 100-point hole? How longdoes it take for the ball to reach the hole?Table 2 shows the assessment result with the percentage referred to correctness. Table 2 Assessment Result Problem Date Given/Find Equations Unknowns 1 Feb
-ftcs-consumer-complaint-categories-again-2014[5] Beckers, J. J. & Schmidt, H. G. (2001). The structure of computer anxiety: A six-factor model. Computers in Human Behavior, 17(1), 35-49.[6] John Winterdyk. & Nikki Thompson. (2008). Student and Non-Student Perceptions and Awareness of Identity Theft. Canadian Journal of Criminology and Criminal Justice 50(2), 153-186. Project MUSE. Web. 5 Apr. 2013. http://muse.jhu.edu[7] Nachmias, D. & Nachmias, C. (1987). Research methods in the Social Sciences. New York: St. Martins Press.[8] Costello, A. B., & Osborne, J. W. (2005). Exploratory Factor Analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research, and Evaluation, 10(7
Paper ID #20555Faculty Facilitated Study Group: Improving Students’ Academic Performancein Engineering CoursesDr. Gloria Guohua Ma, Wentworth Institute of Technology Gloria Ma is an Associate Professor in the Department of Mechanical Engineering and Technology. She has been teaching robotics with Lego Mindstorm to ME freshmen for several years. She is actively involved in community services of offering robotics workshops to middle- and high-school girls. Her research interests are dynamics and system modeling, geometry modeling, project based engineering design, and robotics in manufacturing.Dr. Bo Tao, Wentworth Institute of
series in a way to provideoptimal mathematics placement and support for students, increased their graduation rate inengineering. A study of graduation rates at nine southeastern universities by Borrego, Padilla,Zhang, Ohland, and Anderson (2005), found that one’s gender is also predictive of successfulcompletion of an engineering degree, where females left engineering at higher rates than males.More recently, Zahorian, Elmore, and Temkin (2013) examined factors that influenced students’selection of engineering major. They found class lectures, labs and projects in required ExploringEngineering and Engineering Design courses intended to expose the students to all options ofengineering major were less significant factors in major selection than
advancement of undergraduate education through the development of innovative active learning methods.Dr. David V.P. Sanchez, University of Pittsburgh David Sanchez is an Assistant Professor in the Department of Civil & Environmental Engineering and the Assistant Director for the Mascaro Center for Sustainable Innovation. He directs the Sustainable Design Labs that is currently focused on fusing sustainability principles and design thinking to address the Water and Energy grand challenges in the natural and built environment. Current projects include: Renewable electrode materials for Microbial Fuel Cells and the Electro-Fenton process, Recirculating Aquaponic Systems, Environmental Quality wireless sensor networks, and
education.AcknowledgementsWe gratefully acknowledge support by a grant from the National Science Foundation under contract DRL‐12487, and encouragement from our program manager, Dr. Edith Gummer. Texas Tech University IRB number for this project is 504973.References[1] National Research Council (2008). Early Childhood Assessment: Why, What, and How? Committee on Developmental Outcomes and Assessments for Young Children, Catherine12 | P a g e 13 E. Snow and Susan B. Van Hemel, (Eds.). Board on Children, Youth and Families, Board on Testing and Assessment, Division of Behavioral and Social Sciences and Education. Washington, DC: The National
the students on the aeronautics track. In thechemical engineering course, homework is 10% of final grade and a series of 5 exams make up65% of the grade. The rest of student grade consists of laboratory assignments (5%), classengagement (5%), and a final project (15%). The chemical engineering course is a core courserequired for all students in the chemical engineering program, and taken strictly in the fall of thethird year as a co-requisite to physical chemistry and a pre-requisite to unit operations.In both courses, gaining proficiency with specific applications of the software used (GMAT forthe aerospace engineering course, and HYSYS for the chemical engineering course) are historiclearning objectives. As previously mentioned, these
studied.3 The same study alsoindicated a high satisfaction level with residential life activities.3 Other research results showedthat engineering and computer science living learning communities created an atmosphere wherestudents worked together in groups to study or worked on academic projects resulting in positivepeer relationships that are related to higher student satisfaction.10 The findings higher academicpeer relationships and interaction with faculty and higher satisfaction with living environment forengineering and computer science students.10 Living learning communities can enhance studentsatisfaction but lack of faculty involvement and staff planning can significantly reduce thebenefits of the learning community.3 When faculty and
(2007).8 Beichner, R. J. et al. The student-centered activities for large enrollment undergraduate programs (SCALE- UP) project. Research-based reform of university physics 1, 2-39 (2007).9 McGee Banks, C. A. & Banks, J. A. Equity pedagogy: An essential component of multicultural education. Theory into practice 34, 152-158 (1995).10 Strickland, B. Kierkegaard and Counseling for Individuality. Personnel & Guidance Journal 44 (1966).11 Gneezy, U., Leonard, K. L. & List, J. A. Gender differences in competition: Evidence from a matrilineal and a patriarchal society. Econometrica 77, 1637-1664 (2009).12 Tatum, H. E., Schwartz, B. M., Schimmoeller, P. A. & Perry, N. Classroom participation and