Conference Session

Data Analysis and Assessment

Collection

2015 ASEE Annual Conference & Exposition

Authors

Elaheh Molla Allameh, Purdue University; Mihaela Vorvoreanu, Purdue University, West Lafayette; Seungwon Yang, George Mason University; Aditya Johri, George Mason University; Krishna Madhavan, Purdue University, West Lafayette

Tagged Divisions

Computers in Education

knowledge sharing, with a focus on cognition in informal environments. He also examine the role of ICT in support- ing distributed work among globally dispersed workers and in furthering social development in emerging economies. He received the U.S. National Science Foundation’s Early Career Award in 2009. He is co-editor of the Cambridge Handbook of Engineering Education Research (CHEER) published by Cam- bridge University Press, New York, NY. Dr. Johri earned his Ph.D. in Learning Sciences and Technology Design at Stanford University and a B.Eng. in Mechanical Engineering at Delhi College of Engineering.Krishna Madhavan, Purdue University, West Lafayette Dr. Krishna Madhavan is an Assistant Professor in the School of

Conference Session

Best of Computers in Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Alex Daniel Edgcomb, University of California, Riverside; Frank Vahid, University of California, Riverside; Roman Lysecky, University of Arizona; Andre Knoesen, University of California, Davis; Rajeevan Amirtharajah, University of California, Davis; Mary Lou Dorf, University of Michigan, Ann Arbor

Tagged Divisions

Computers in Education

Outstanding Ph.D. Dissertation Award from the European Design and Automation Associa- tion (EDAA) in 2006 for New Directions in Embedded Systems. He received a CAREER award from the National Science Foundation in 2009 and four Best Paper Awards from the ACM/IEEE International Con- ference on Hardware-Software Codesign and System Synthesis (CODES+ISSS), the ACM/IEEE Design Automation and Test in Europe Conference (DATE), the IEEE International Conference on Engineering of Computer-Based Systems (ECBS), and the International Conference on Mobile Ubiquitous Computing, Systems, Services (UBICOMM). He is an inventor on one US patent. He has coauthored five textbooks on VHDL, Verilog, C, C++, and Java programming. His recent

Conference Session

Best of Computers in Education Division

Collection

2016 ASEE Annual Conference & Exposition

Authors

Darren K Maczka, Virginia Tech Department of Engineering Education; Jacob R Grohs, Virginia Tech

Tagged Divisions

Computers in Education

al. describe efforts to use the Alice programming environment to teach introductoryprogramming concepts.53 Interestingly a later report assessing the efficacy of the curriculum usingAlice indicated that while pre-post testing indicated learning gains with the environment, focusgroup data indicated a dissatisfaction with Alice as an introductory language, resulting in a switchto LabVIEW.54 A possible explanation given for the dissatisfaction of Alice was that students didnot perceive it as being a “real” programming environment they might use in industry, whileLabVIEW was. Certainly, helping students connect the utility of skills they learn in the classroomto those that will be important in their later career is important. In some cases

Conference Session

Teaching and Advising Tools Using Computers and Smart Devices

Collection

2016 ASEE Annual Conference & Exposition

Authors

Oscar Antonio Perez, University of Texas - El Paso; Virgilio Ernesto Gonzalez, University of Texas - El Paso

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

? Yes 49 92% No 4 8% Table 8. Results from post development question 2 Spring 2016. Question 3 of the post iAdvise usage survey focuses on ease of access to information.Due to inaccessibility, information that could be gathered by the agent is seldom sought out.Even if the agents understand the notion of “the more credits that I enroll in and pass the faster Igraduate”, it is not often that agents actually take the time to calculate their time to graduation.According to Landis, an expert in the field of engineering education, the more time and effort astudent devotes to planning their career

Conference Session

Technical Session 2: Embedded Systems

Collection

2019 ASEE Annual Conference & Exposition

Authors

J.w. Bruce, Tennessee Technological University; Ryan A. Taylor, University of Alabama

Tagged Divisions

Computers in Education

addition. In 2015, CAN bus functionality was added to the2014 specification. The CAN bus is a robust but complex network protocol, and student-reporteddevelopment peaked. Apart from the heavy workload, students reported satisfaction with theexperience as they found the CAN bus interesting and saw the utility of having experience with itfor future courses and their careers. The 2016 design was fundamentally identical to the 2015variation but with the introduction of gap learning. A clear reduction in LoC reported is seen.The 2017 offering was nearly identical to the 2016 version and reported LoC was almostunchanged. The effort in 2019 to reduce student workload by providing more of a completedesign framework and limiting student requirements is

Conference Session

Instrumentation and Laboratory Systems

Collection

2007 Annual Conference & Exposition

Authors

Jon Sticklen, Michigan State University; Daina Briedis, Michigan State University; Mark Urban-Lurain, Michigan State University; Timothy Hinds, Michigan State University

Tagged Divisions

Computers in Education

entireengineering careers in college and on into their professional careers. Repeated use ofcomputational tools leads to familiarity, and to what now is called “pervasive computing” in thesense that the slide rule was simply a well-known tool to the student. Most engineeringundergraduate students do not develop like familiarity with computational environments likeMATLAB for the simple reason they do not achieve self-reliance with MATLAB, largelybecause they do not use it throughout their undergraduate experience.The crux issue is that higher order learning, i.e. concept oriented learning, is necessary beforetransference across problem settings is effective.2 To enable higher order learning in the contextof a computer toolset, the tools must be mastered

Conference Session

Robots and K-12 Computer Applications

Collection

2013 ASEE Annual Conference & Exposition

Authors

Jeffrey Laut, Polytechnic Institute of New York University; Vikram Kapila, Polytechnic Institute of New York University; Magued G. Iskander P.E., Polytechnic Institute of New York University

Tagged Divisions

Computers in Education

review, 51 journal articles, and 100 confer- ence papers. He has mentored four doctoral students, eleven masters students, 25 undergraduate research students, and 11 undergraduate senior design project teams; over 300 K-12 teachers and 95 high school student researchers; and eighteen undergraduate GK-12 Fellows and 53 graduate GK-12 Fellows. More- over, he directs K-12 education, training, mentoring, and outreach programs that currently enrich the STEM education of over 2,000 students annually.Dr. Magued G. Iskander P.E., Polytechnic Institute of New York University Dr. Magued Iskander is a professor of Civil and Urban Engineering at NYU-Poly. Dr. Iskander is a recip- ient of NSF CAREER award, Chi Epsilon (Civil

Conference Session

Computers in Education General Technical Session II

Collection

2011 ASEE Annual Conference & Exposition

Authors

Mihaela Vorvoreanu, Purdue University; Quintana Clark, Purdue University; Geovon Boisvenue, Purdue University; Stephen Paul Woodall, Purdue University

Tagged Divisions

Computers in Education

yourresume.” The expression “Google resume” refers to the information that appears in thefirst pages of a Google search. This information is becoming just as important, if notmore important, than the traditional resume. Unlike a traditional resume, a Google Page 22.1306.7resume takes time to build, and is hard to change. Therefore, students should be awareearly on in their college careers about the importance of their Google resume, and learntactics they can use to improve it. The practices we recommend here are all intended toimprove a student’s visibility in online searches, and to increase the probability of searchresults featuring professional content

Conference Session

Computer Programming and Simulation

Collection

2014 ASEE Annual Conference & Exposition

Authors

Kevin James Gucwa, University of California, Davis; Harry H. Cheng, University of California, Davis

Tagged Divisions

Computers in Education

. Page 24.1058.1 c American Society for Engineering Education, 2014 RoboSim for Integrated Computing and STEM EducationAbstractThis paper describes the design, implementation, and application of RoboSim, a robotvirtual environment, for integrated computing and STEM education in K-12 schools.Robots are being increasingly used in schools for hands-on project-based learning andmotivating students to pursue careers in Science, Technology, Engineering, andMathematics (STEM). However high costs and hardware issues are often prohibitive forusing robotics as often as desired in mathematics and science classroom teaching. Due tothe tight schedule for teaching math and science subjects, hardware mishap and failure,such as

Conference Session

Computers in Education 9 - Technology 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Emre Tokgoz, Quinnipiac University; Samantha Eddi Scarpinella, Quinnipiac University; Michael Giannone, Quinnipiac University

Tagged Divisions

Computers in Education

majoring in Industrial Engineering. He currently has been accepted to Pennsylvania State University to pursue a Master’s in Industrial Engi- neering. Michael is interested in working either in the Healthcare of Manufacturing industry. Michael has worked at Pratt and Whitney located in East Hartford, CT as well as Crash Safety located in East Hampton, CT. Both of these experiences has helped him strengthen his knowledge in data analytics and optimization. One of Michael’s biggest interests in Ergonomics and Human Factors which he plans to purse later in his career. American c Society for Engineering Education, 2021 Technology Decisions of

Conference Session

Computers in Education Division Technical Session 9: Pedagogical Tools

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Raghu Echempati P.E., Kettering University; Santhosh Sivan Kathiresan, Kettering University

Tagged Divisions

Computers in Education

in education by applicating the simulation procedures fornumerical analyzing tools such as SolidWorks and LS-DYNA using the example - seat railstructures. Understanding the various assumptions made and the procedural steps followed toperform design iterations using these software tools is critical to obtain accurate results. Use ofCAE and math tools allow students to explore ‘what if’ scenarios and develop critical thinkingskills needed in STEM careers. Designing components and assemblies that are lighter and safersaves energy and environment as a whole. Use of recyclable materials such as aluminumcontributes to these global issues. To conclude, computer usage in this work was very intensiveand key take away for readers in developing

Conference Session

Computers in Education Division Technical Session 3: Digital Learning Part I

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Bryan Weber, University of Connecticut

Tagged Divisions

Computers in Education

, they are often worried about applyingprogramming to solve practical problems. The author finds a three-pronged approach works wellto make sure that students can engage with the portions of the material that require programming.First, it is crucial for students to recognize that some experience with programming will benefittheir careers. As more and more design tasks are accomplished in software, the ability to automatesimple tasks (e.g., report generation from a data table) or the ability to script within anotherapplication (e.g., to perform a parameter sweep in a design software) will be an importantdifferentiator in their careers.Listing 1: ThermoState code example demonstrating the output from an impossible unit conversion.The input syntax

Conference Session

Work-in-Progress Posters: Computers in Education Division Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Evelyn R. Sowells, North Carolina A&T State University; Andrea Nana Ofori-Boadu, North Carolina A&T State University; Jonte R. Douglas; Li-Shiang Tsay; Dewayne Randolph Brown

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

, college life could beconsidered the “training wheels” of life. It is the time period when you leave home and yourresponsibilities gradually increase until you a fully responsible for yourself. During that timeperiod, especially if you are living on campus you are exposed to living and learning with otherstudents training for life as well. When receiving a traditional education, the actual collegeexperience includes meal plans, Greek life, sporting events, festivities, etc. [7]Another benefit of receiving a traditional education is the networking. The environment iscomprised of students, faculty and professionals in all degree areas. Prior to graduating, thenetworking students gained can come from the career center, previous professors, or

Conference Session

Technical Session 10: Simulation and Modeling

Collection

2019 ASEE Annual Conference & Exposition

Authors

Sanish Rai, West Virginia University Institute of Technology; Thomas Keith Carter; Bimarsh Sharma

Tagged Divisions

Computers in Education

. We found that documentation of NetLogo to be helpful but notextensive. The knowledge base for NetLogo was limited, and it took a lot of effort to get a newconcept working with the code.Students are quite motivated to be able to develop the current simulation model and are interestedin keeping working on it. Future work would be to fix the bugs and write a better algorithm foragent collisions. The actual dimensions of the department will be used to build the environment.Instructors will be modeled based on their office hours, and student interaction will be simulated.The application will be expanded to include other building simulation such as interaction inshopping malls and multi interaction areas like career fairs or a

Conference Session

Technical Session 5: Topics related to Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

W. Davis Harbour, Louisiana Tech University; Stan Cronk, Louisiana Tech University; Nishant Shakya, Louisiana Tech University

Tagged Divisions

Computers in Education

anawareness of and an appreciation for. Regardless of their chosen field of study and ultimate jobupon graduation, it is almost certain that they will encounter the Internet of Things during theirengineering careers. This paper describes an effort to introduce the Internet of Things to afreshman-level engineering course at Louisiana Tech University that allows the students tounderstand and experience some of the technology involved in this phenomenon. By adding asmall amount of additional hardware to the existing Arduino microcontroller platform already inuse in our year-long engineering course sequence, students are able to apply techniques theyhave already learned to implement a WiFi module and send data to a database. They are alsoable to open a

Conference Session

Technical Session 9:Topics related to STEM

Collection

2019 ASEE Annual Conference & Exposition

Authors

Lori M Caldwell, Utah State University; Angela Minichiello P.E., Utah State University

Tagged Divisions

Computers in Education

introductory fluidscourses as mathematically onerous, conceptually difficult, and aesthetically uninteresting.Undergraduate courses in fluid mechanics, in fact, have been shown to act as curriculargatekeepers to fluids-related studies and careers [2].In this project we aim to iteratively develop, implement, and assess a low cost, handheld, mobilePIV tool within in high school and undergraduate educational contexts. We anticipate that use ofthis device will excite student interest in fluid mechanics and increase retention withinengineering by supporting conceptual understanding in fluid mechanics courses through hands-on learning.BackgroundLaboratory PIVTraditional Particle Image Velocimetry (PIV) is a powerful laboratory technique used to measureand

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Robert L. Avanzato, Pennsylvania State University, Abington; Culllen G. Wilcox, Penn State Great Valley

Tagged Divisions

Computers in Education

, Multidisciplinary Engineering Design major at Penn State Abington. His works focuses on robotic autonomy through ROS and MATLAB. Over the course of the past two years Cullen has worked with robots such as the TurtleBot and Parrot Bebop using ROS. Recently his work focused on using multiple robots. He hopes to continue this work in his career. c American Society for Engineering Education, 2018 Introductory Mobile Robotics and Computer Vision Laboratories Using ROS and MATLABAbstractRobot Operating System (ROS) is an open source, Linux-based robotics development anddeployment system which supports many commercial and research and development robots. Theeducational advantage of

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Matthew Nelson, Iowa State University; Benjamin Ahn, Iowa State University

Tagged Divisions

Computers in Education

of the ACM, vol. 50, no. 7, p. 30, 2007.[13] A. All, E. P. Nu˜nez Castellar, and J. Van Looy, “Towards a conceptual framework for assessing the effectiveness of digital game-based learning,” Computers and Education, vol. 88, pp. 29–37, 2015.[14] E. M. Gerber, J. M. Olson, and R. L. D. Komarek, “Extracurricular design-based learning: Preparing students for careers in innovation,” International Journal of Engineering Education, vol. 28, no. 2, pp. 317–324, 2012.[15] Z. Z. Li, Y. B. Cheng, and C. C. Liu, “A constructionism framework for designing game-like learning systems: Its effect on different learners,” British Journal of Educational Technology, vol. 44, no. 2, pp. 208–224, 2013.[16] V. S. Pantelidis, “Virtual reality and

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Virgilio Ernesto Gonzalez, University of Texas, El Paso; Oscar Antonio Perez, University of Texas, El Paso

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

Magazine, vol. 15, no. 5, 2003, pp. 325.8 R. Schroeder, et al., “TQM in Education: Changing the Culture of Schools ” 1997; nsf.gov.http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9712991. Accessed: 24 May 2010.9 Landis, Ray, “Studying Engineering: A Road Map to a Rewarding Career”, 2nd Edition, Discovery Press, 2000 Page 26.1773.14

Conference Session

Web-Based Education

Collection

2007 Annual Conference & Exposition

Authors

Ahmed Abu-Hajar, San Francisco State University; Michael Holden, San Francisco State University

Tagged Divisions

Computers in Education

advising, one that focuses onmotivation. Unlike conventional courses, in which students are motivated by competition and Page 12.941.10social interaction, computer based courses use different motivational strategies, such as selfactualization and career advancement. We have found convenience to be a negativereinforcement—students skip lectures and are easily distracted.Bibliography1. Open Courseware, MIT website: http://ocw.mit.edu/index.html2. Bates, A. W., & Poole, G. (2003). Effective teaching with technology in higher education:Foundations for success. San Francisco: Jossey-Bass Publishers.3. Mayer, R. E., Moreno, R., Boire, M., &

Conference Session

Programming for Engineering Students I

Collection

2008 Annual Conference & Exposition

Authors

Mathieu Desnoyers, Ecole Polytechnique de Montreal; Michel Dagenais, Ecole Polytechnique de Montreal

Tagged Divisions

Computers in Education

, including theuser-space, operating system and Hypervisors.This paper presents an overview of the actual industry requirements regarding computer scientists,briefly reviews the capabilities of LTTNG and then discusses how this tool was used in a course to Page 13.1171.2illustrate, in a direct and intuitive way, the behavior of real, complex, computer systems.3 Computer industry requirementsConsidering today’s level of complexity found in computer systems, it comes without wonder thata lot of freshly graduated computer engineers start their career dazing at a task they have not beenprepared for.Dewar and Schonberg pointed out in their paper4 that

Conference Session

Software and Hardware for Educators II

Collection

2009 Annual Conference & Exposition

Authors

Eric Wiebe, North Carolina State University; Chia-Lin Ho, North Carolina State University; Lisa Bullard, North Carolina State University; Dianne Raubenheimer, North Carolina State University; Jeff Joines, North Carolina State University; Carolyn Miller, North Carolina State University; George Rouskas, North Carolina State University

Tagged Divisions

Computers in Education

Proficiency level of computational capability. It is important Page 14.356.5to note that the assumption (based on feedback from the industry panel) is that fewstudents will develop capabilities at the fluency level prior to embarking on a professionalengineering career. The levels are: Competency The individual has technical skill mastery of certain computational tools and/or programming languages. Limits in conceptual knowledge means that they are limited to solving well-defined tasks with specified tools. When faced with a more open-ended or complex problems, limits in conceptual knowledge will mean they will probably not be able to solve the

Conference Session

Computed Simulation and Animation

Collection

2006 Annual Conference & Exposition

Authors

Michael Maixner, U.S. Air Force Academy

Tagged Divisions

Computers in Education

diagrams for water is provided, along with suggested tutorial questions for students and recommendations for additional applications. Feedback comments are provided from seniors who used the Mollier and T-s diagrams, and from juniors who used a similar application which provided a tutorial on p-v and T-v diagrams. Several screen shots of the worksheets are provided. The spreadsheet files are available from the author via email.IntroductionTo the budding thermodynamics student, nothing can be quite as daunting as the initial exposureto the property tables for gases and (even more so) two-phase fluids. Many undergraduates, evenat the end of their careers as mechanical engineering degree candidates, are uncertain of

Conference Session

Computing Technology Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Elif Miskioglu, Bucknell University; Kaela M Martin, Embry-Riddle Aeronautical University, Prescott

Tagged Divisions

Computers in Education

software for the “correct” answer. Students must now graduatewith not only the knowledge of their field but also with the ability to use and evaluate technologytools that surround them. We previously found a correlation between overall GPA and problemsthat required information outside of class but related to prior knowledge and easily accessible viathe internet.24 Here, we further explore students’ performance on problems that “stretch” thestudent’s thinking to go beyond the question on the page, and to integrate their prior knowledge,draw on their experience, and evoke their curiosity. We use student success on these problems asour measure of engineering intuition, and are interested in identifying the common factors(major, career aspirations

Conference Session

Technical Session 6: Modulus Topics Part 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Saed Talib Amer, Khalifa University; Jaby Mohammed, Khalifa University of Science and Technology; Ali Bouabid, Khalifa University of Science and Technology

Tagged Divisions

Computers in Education

his academic career, Dr. Bouabid worked in the industry (engineering and manufacturing) for more than 12 years in France and in Morocco, where he held several management positions. Dr. Bouabid holds a DEST (BS) and an Engineer degree (MSc) in Mechanical Engineering from the Conservatoire National des Arts et M´etiers of Paris, France and a MSc and a PhD degree in Systems Engineering from the University of Virginia, USA. c American Society for Engineering Education, 2019 Proactive Means for Engineering Students’ Edification on SustainabilityAbstractA vigorous role of engineers is to uphold and advocate sustainability, yet, this role is oftenoverlooked especially in regions where the guidelines of

Conference Session

COED: Online and Blended Learning Part 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Zelin Zhu; Yuzhong Shen, Old Dominion University; Cheng Y. Lin P.E., Old Dominion University; Shuo Ren, Old Dominion University; Katherine Smith, Old Dominion University; Anthony W. Dean, Old Dominion University

Tagged Divisions

Computers in Education

and testing) and the reliability and maintainability of complex systems. Hehas been selected as both a NASA and an ONR Faculty Fellow. He regularly teaches courses in Ma-rine Engineering and in Maintained Systems. Most recently Dr. Dean was on the Headquarters Staffthe American Society of Naval Engineers. He received his Ph.D. from the Department of EngineeringManagement and Systems Engineering, and a B.S. in Nuclear Engineering Technology, from the BattenCollege of Engineering and Technology at Old Dominion University. Additionally, Dr. Dean receivedan MBA from the College of William and Mary. Prior to is academic career Dr. Dean was Director ofOperations and Business Development for Clark-Smith Associates, P.C., and served as an Electrician

Conference Session

Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kenie R. Moses

Tagged Divisions

Computers in Education

such, results from this study could be used to inform developers andinstructors how to capture, analyze and predict learning outcomes as well as provide informationrelevant to each students’ level of ability when using digital tutors.References[1] Ian Martin, “Are Engineering Jobs in Demand?,” Electrical Engineering. [Online]. Available:https://ianmartin.com/engineering-jobs-demand/[2] Bureau of Labor and Statistics, “Occupational Outlook Handbook,” [Online]. Available:https://www.bls.gov/ooh/architecture-and-engineering/electrical-and-electronics-engineers.htm[3] A. Belasco, “College Advice for the Career-Minded: So, you want to be an engineer?,” (2015),College Transitions. [Online]. Available https://www.collegetransitions.com/blog/so-you

Conference Session

Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kenie R. Moses, Educational Technology Research & Assessment

Tagged Divisions

Computers in Education

/2013/05/06/why-america-desperately-needs-more-scientists-engineers/[2] A. Belasco, “College Advice for the Career-Minded: So, you want to be an engineer?,” (2015),College Transitions. [Online]. Available https://www.collegetransitions.com/blog/so-you-want-to-be-an-engineer/[3] A. Murata and Y. Ohta, “Metacognition in Solving Process of Basic Electric Circuit Problem-Comparison of Metacognitive Characteristics between Non-major and Major Students inElectric Engineering,” Computer Technology and Application, vol. 4, no. 8, pp. 415-424, Aug. 2013.[4] M. J. Larkin, “Providing support for student independence through scaffolded instruction,” TeachingExceptional Children, vol. 34, no. 1, pp. 30–34, 2001.[5] R. Feyzi-Behnagh, R. Azevedo, E. Legowski

Conference Session

Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kenie R. Moses

Tagged Divisions

Computers in Education

World Conference on Educational Multimedia, Hypermedia andTelecommunications, pp. 1236-1244, 2014.[3] A. Belasco, “College Advice for the Career-Minded: So, you want to be an engineer?,” (2015), CollegeTransitions. [Online]. Available https://www.collegetransitions.com/blog/so-you-want-to-be-an-engineer/[4] A. Murata and Y. Ohta, “Metacognition in Solving Process of Basic Electric Circuit Problem-Comparison of Metacognitive Characteristics between Non-major and Major Students in ElectricEngineering,” Computer Technology and Application, vol. 4, no. 8, pp. 415-424, Aug. 2013.[5] T. T. Moores, J. C.-J. Chang, and D. K. Smith, “Clarifying the role of self-efficacy and metacognitionas predictors of performance: construct development and test,” ACM

Conference Session

Modeling and Simulation

Collection

2016 ASEE Annual Conference & Exposition

Authors

Daniel K. Howe, George Mason University; Oscar Barton Jr., George Mason University

Tagged Divisions

Computers in Education

engineering in the Volgeneau School of Engineering, and is the Secretary of the George Mason University Chapter of the American Society of Mechanical Engineers.Dr. Oscar Barton Jr., George Mason University Oscar Barton, Jr., Ph.D, P.E. is a Professor of Mechanical Engineering at George Mason University A native of Washington, D.C., Professor Barton received his B.S in Mechanical Engineering from Tuskegee (Institute) University, his M.S in Mechanical Engineering and Ph.D degree in Applied Mechanics from Howard University. Dr. Barton joined the faculty of Mechanical Engineering Department at George Ma- son University fall 2014, after completing a 22 year career at the U.S. Naval Academy. His research focuses on the