and wireless networks, cognitive radio networks, trust and information security, and semantic web. He is a recipient of the US Department of Energy Career Award. His research has been supported by US Department of Energy, National Science Foundation, Air Force Office of Scientific Research, Air Force Research Laboratories, Ohio Supercomputer Center, and the State of Ohio.Prof. Chi-Hao Cheng, Miami University Dr. Chi-Hao Cheng received the B.S. degree in control engineering from National Chiao Tung University, Taiwan in 1991, and the M.S. and Ph.D. degrees from The University of Texas at Austin in 1996 and 1998 respectively, both in Electrical and Computer Engineering. He is currently a professor in the Department
’ math and science learning, it is of paramountimportance that their heightened interest to learn new concepts be employed to engage them tolearn fundamentals of computer programming. An early development of interest in math,science, and computer programming will enable students to remain interested in and excel inSTEM disciplines as they progress through the educational pipeline. Finally, introduction to andengagement with hands-on STEM learning will encourage students to consider and pursue Page 26.17.2STEM studies and careers.13,16In this paper, we consider the use of a blocks-based visual environment to demonstrate and teachrobot-programming
to access and edit theirnotebook at any time of day or night and could upload various forms of media to their website(videos, photos, Twitter feeds, etc.) that used to be a challenge to include in the paper version ofthe notebooks. In addition, instructors had unlimited access to the websites for grading,feedback, and evaluation purposes which was not possible when the notebooks existed in aphysical form. Another factor influencing the use of the new platform was that all students onthe project team would have access to the portfolio during their entire college career and afterthey graduate. This would allow them to showcase their robot in interviews with potentialemployers. These many factors were integral in enhancing the student
my major and career. 3.80 4.24 4) I will stick with a computing problem until I have a solution. 2.92 3.92 5) I am good at solving problems that are ambiguous. 3.67 3.89 6) I am good at working within and contributing to a team. 4.25 4.77 7) I consider going into Computer Science major or minor. 2.21 2.80 Table 2: Mean Scores of the Surveysing outcomes, e.g., computational thinking, team work, critical and creative thinking in solvingambiguous problems, and learning from failure.4 Methodologies and Results4.1 Surveys for Students Self-evaluationThe modules were deployed in a CS 1 course in
-Champaign. Prior to joining Illinois he was on the faculties of the Department of Aeronautics and Astronautics at Stanford University and the Department of Mathematics at the University of California, Davis. Prof. West holds a Ph.D. in Control and Dynamical Systems from the California Institute of Technology and a B.Sc. in Pure and Applied Mathematics from the University of Western Australia. His research is in the field of scientific computing and numerical analysis, where he works on computational algorithms for simulating complex stochastic systems such as atmospheric aerosols and feedback control. Prof. West is the recipient of the NSF CAREER award and is a University of Illinois Distinguished Teacher-Scholar and
earlier in our students’ academic career bymaking complicated engineering theory more accessible. The resulting database of simulation usage data has been effective in detecting andresponding to usage patterns of successful and unsuccessful students, allowing for iterativedevelopment of educational material. For example, ensemble averages of mouse location forsuccessful and unsuccessful attempts in a spectrophotometer simulation revealed thatunsuccessful students did not understand the need to properly calibrate. Student study habits andproblem solving strategies also are evident in such data. Finally, we have found usage trackingdata to be effective in improving user experience; for example, we detected attempts to interactwith non
, and are more pragmatic in their attack of the problems. They’re very academically competitive…and they wanted to know more just so they could demonstrate their knowledge and show other students what they had learned on their own before they came to class. - I feel like my groups as a whole showed more interest in STEM, and they liked seeing the application of their knowledge to specific careers. As a whole, I noticed that more introverted students had a voice, and they were more involved in the project than they had been in the past.Also as indicated by the surveys, 89% of the participating teachers would recommend ourtraining on Scratch programming to other teachers, the remaining 11% were neutral, and none ofthe
complex systems. He has 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 Staff the American Society of Naval Engineers. He received his Ph.D. from the Department of Engineering Management and Systems Engineering, and a B.S. in Nuclear Engineering Technology, from the Batten College of Engineering and Technology at Old Dominion University. Additionally, Dr. Dean received an MBA from the College of William and Mary. Prior to is academic career Dr. Dean was Director of Operations and Business Development for Clark-Smith Associates, P.C., and served as an Electrician in the US Navy
redundant array of independent disks (RAID) controllers. His research interests include engineering education, robotics, and literate programming.Ms. Jane N. Moorhead, Mississippi State University Jane received her B.S. in Electrical Engineering from North Carolina State University. Her career has been all about hardware and software development; with NASA she designed cut-down systems for weather balloons and telemetry systems. Working for IBM, she designing modems and routers and had the op- portunity to work at IBM Research Yorktown Heights on the first large-scale voice recognition system. Moving to Mississippi, Jane took a job at Mississippi State University teaching courses in Digital Design using FPGAs
; Computer Science The University of Texas Rio Grande Valley Dr. Ala Qubbaj is the Dean for the College of Engineering and Computer Science at the University of Texas Rio Grande Valley (UTRGV) and the Principle Investigator (PI) for the UTRGV’s ADVANCE Institutional Transformation grant funded by the National Science Foundation (NSF); which focuses on increasing the representation and advancement of women in STEM fields. He is also the PI on an NSF INCLUDES (Inclusion across the Nation of Communities of Learners of Underrepresented Dis- coverers in Engineering and Science) project/Symposium for ADVANCING STEM Latinas in Academic Careers. Prior to his Dean position, Dr. Qubbaj served as Senior Associate Vice President
Increasing the number of people who enter engineering, computer science, and otherSTEM-oriented fields has been expressed as a national concern over the past two decades as thenation's global economic position has long rested on the robustness of its STEM workforce [1,2]. One area of interest to policymakers and industry leaders is elementary and middle gradeseducation, where initial aspirations to a STEM career take root through encounters with mathand science that can predict later achievement within these fields. Spatial intelligence, or theability to make spatial judgments and visualize, has been shown to be a strong indicator ofmiddle school students’ future achievement in STEM related courses [3-5]. Further, researchershave pointed to spatial
. Thomas Marty Johnston received his Ph.D. in Physics from the University of California, Riverside working in atomic physics. After serving as a Post-Doctorial Researcher at the University of Nebraska he came to the University of St. Thomas in 1995 to initiate an undergraduate research program in physics. When he is not in the laboratory, Marty can be found teaching classical physics, electricity and magnetism, theoretical mechanics or experimental methods.Christopher Greene, University of St. Thomas Chris Greene received his Ph.D. in Electrical Engineering from the Massachusetts Institute of Technology (MIT) and proceeded to a 25 year career in industry. At Honeywell, he did research on
Division’s computing resources and it is the platform on which faculty haveinstalled the software applications and will demonstrate them to students in class. Other formfactors, including tablets, were discarded for their limited computing power and their price pointfor computing power.The Division’s Laptop Policy intentionally permits students to purchase a laptop that does notmeet specifications. The minimum specifications are designed to guide a purchase in thesophomore year that ensures that laptop’s features will be adequate until graduation three yearslater. The policy is flexible and permits students to purchase cheaper laptops early in theircollege careers with the expectation the computer will likely need to be upgraded
theirengineering career.""Maybe you could designate a certain period of time within the class meeting to experiments andhold one once a week or once every other week.""The use of experiments is good. It gives students a visual instead of watching a computerscreen. The only way to improve experiment use is to add more!""Use more experiments. Helps me to understand the concepts.""Some students can either be hands-on or visual learners. Use of experiments increases studentinteraction as well as the understanding of the material because there is physical proof of whatmay go on in a problem, instead of just taking it from a textbook and accepting it.""I think experiments are good for the course because they add variety to class time and activities,and students
AC 2010-1299: ONLINE TUTORING SUPPORT SERVICE FOR STEMSusan Miertschin, University of Houston Susan L. Miertschin is an Associate Professor in Computer Information Systems at the University of Houston. She began her career in higher education teaching applied mathematics for engineering technology students. She demonstrated consistent interest in the application of information and communication technologies to instruction. This interest plus demonstrated depth of knowledge of computer applications and systems caused her to change her teaching focus to computer information systems in 2000. Recently, she has completed graduate course work in the area of Medical Informatics in order to deepen
engineering. LabVIEW™ and the LEGO MINDSTORMS®platform were selected as the tools for the program. LabVIEW is an especially useful tool,which engineering students repeatedly encounter during their undergraduate careers. LEGOMindstorms give students an intuitive approach to programming, with immediate, visual results.As a result of strong teaming experiences in the workshops, the students work more effectivelyand collaboratively in their coursework. The students also interact one-on-one withundergraduate and graduate engineering students who exhibit their enthusiasm for engineering.These relationships continue into the academic year, providing a support community for the new
and Conference on Human Computer Interaction.Tiffany Barnes, NC State University Dr. Tiffany Barnes is an associate professor of Computer Science at N.C. State University and received her Ph.D. from N.C. State in 2003. Dr. Barnes received an NSF CAREER Award for her novel work in using data to add intelligence to STEM learning environments. Dr. Barnes is co-PI on the $9 million NSF STARS Alliance grants that engage college students in outreach, research, and service. She has received ˜$2 million in funds as PI from the National Science Foundation, NASA, and industry sources to research effective ways to build serious games for education, exercise, and environmental awareness; promote undergraduate research; and
forcontroller implementation are reported. The students were asked to give their response to eachstatement in the scale of 1-5: 1: strongly disagree, 2: disagree, 3: neutral, 4: agree, and 5:strongly agree. All 10 students in the course responded to the survey. For the lab experimenteffectiveness, the average response was 4.8 out of 5, and positive response (agree or stronglyagree) percentage was 100%. For the FPGA based controller implementation, the average scorewas 4.1 and the positive response percentage was 80%. The students liked the lab experiments inthe course but a few students (2 out 10) had some difficulty in appreciating the FPGA basedimplementation, possibly because of their academic background unrelated to Mechatronics andtheir career
AC 2011-1368: HOW EDUCATIONAL INSTITUTIONS CAN HANDLE MORESTUDENTS WITH FEWER FACULTY MEMBERSCarolyn Kusbit Dunn, East Carolina University Carolyn Dunn is an Assistant Professor in the Department of Technology Systems at East Carolina Uni- versity. She teaches technical writing both face to face and online. Dunn has a PhD in English with a concentration in Technical and Professional Discourse. Her research interests are organizational communication, crisis communication and language and power.David L Batts, East Carolina University David Batts, Ed.D., is an assistant professor in the Department of Technology Systems at East Carolina University. His career experiences include industrial consulting and managing an
AC 2011-1464: PUTTING BELLS & WHISTLES ON DSP TOOLKIT OFLABVIEWMurat Tanyel, Geneva College Murat Tanyel is a professor of engineering at Geneva College. He teaches upper level electrical engineer- ing courses. Prior to teaching at Geneva College, Dr. Tanyel taught at Dordt College in Sioux Center, IA. He started his career at Drexel University where he worked for the Enhanced Educational Experience for Engineering Students (E4) project, setting up and teaching laboratory and hands-on computer exper- iments for engineering freshmen and sophomores. For one semester, he was also a visiting professor at the United Arab Emirates University in Al-Ain, UAE where he helped set up an innovative introductory
, influence their career and academic options, as wellas their persistence and success in their chosen majors 1.Self-efficacy and GenderGender differences in students’ beliefs about their computer/technology abilities have receivedmuch attention in education because they provide a potential interpretation of females’ lowparticipation in computer-related fields 9. Females tend to have less confidence in theircomputer-related skills than males, and this pattern has been found from elementary school 10 tocollege 11, 12. The gender inequity on computer-related self-efficacy can be attributed to differentsocialization experiences of females and males, and was found to be a reflection of gender biasedsocial expectations as expressed by parents 13. With an
withrecruitment and retention by providing students with options based on their interests, learningstyles and academic preparation.As the CSET program grew and established an identity in the region our graduates foundemployment in the discipline and/or went on to graduate school in computer science or closelyrelated areas. In some cases, computer science background of our graduates allow them pursueprofessional careers and graduate education in computer science. We believe that the computerscience component leads to increased opportunities for our graduates. CSET graduates fill aniche positioned between the purely technical and the purely theoretical.As we prepared for our general review in the fall of 2006, we were contacted by ABETheadquarters and
which did not provide coordination between laboratory sessions and relatedtheoretical studies.The questions in the second part of the survey tested students' degree of consent with theassertions related to using the automation devices. The following eight assertions were extractedfrom interviews with the students participated in our study in 2006-2007:- The experiment aided by the automation devices is more rapid.- The use of automation devices yields more accurate results.- The experiment with application of the automation devices is similar to an industry laboratory test.- Practice with the automation devices allows the students to acquire skills important for their future careers.- The experiment by means of the automation devices is
theoreticalconcepts and basic abilities but also should educate them for industrial needs in order to preparethe students for their careers (Chaffanjon, 1994)3. Industry-university collaboration is based onintegrating university teaching resources and industrial technical resources to reach the goal ofdeveloping technologically-skilled professionals (Engstrom & Jewett, 2005) 6. Recently, the academic and industrial fields in Taiwan have reached a consensus whichindicates that international industry-university collaboration is certainly an efficient partnershipmodel to follow in order to cultivate highly-skilled, quality manpower for Taiwan. Furthermore,the results of these related researches can be shared by the academic, industrial, and
engineeringstudents better understand concepts, identify patterns, and discover problems not addressed in thetextbooks. Engineering students are likely to be more engaged in the learning process bystudying the latest natural phenomenon such as flooding in Atlanta and drought in Texas.1. IntroductionSensors play a critical role in engineering and science applications such as monitoringenvironmental metrics, controlling industrial processes, and coordinating traffic flow. Inclusionof sensing science (also known as sensor science) and sensor data within engineering classroomsis becoming increasingly beneficial for engineering education. It motivates students to pursuescience and engineering disciplines and associated career paths1. Further, it makes the
technology use in the workplace. His career focus has been on managing and leading technological innovation in the workplace. He has over (15) years of experience in networking, systems integration and the project management fields. His prior experience base also includes (6) years as a full-time faculty instructor and (12) year’s service as an officer in the United States Marine Corps. Address: College of Technology & Computer Science, 212 Science and Technology Bldg, East Carolina University, Greenville, NC 27858; email: leskoc@ecu.edu; phone: 252-737-1907.John Pickard, East Carolina University John Pickard is an Instructor in the Department of Technology Systems, College of Technology
, P., and Ting, S. (2005). "Globalization Challenges, Legacies, and Civil Engineering Curriculum Reform." Journal of Professional Issues in Engineering Education and Practice, 131(2), 105- 110. 8. Barlish, K., and Traylor, C. (2014). "Career Paths and Development: Actions and Examples from the Heavy Civil Sector." Practice Periodical on Structural Design and Construction, 19(1), 2-7. 9. Christodoulou, S. (2004). ”Educating Civil Engineering Professionals of Tomorrow.” J. Prof. Issues Eng. Educ. Pract., 130(2), 90–94. Yaşar, O., and Landau, R. H. (2003). "Elements of Computational Science and Engineering Education." SIAM Review, 45(4), 787-805. 10. Siller, T. J. (2001). "Sustainability and critical thinking
freshmanintroduction to engineering course, an advanced robotics course, and outreach activities. Thegroup designed a small, low-cost robot, programmed in Python, which has ample sensors andcommunication capabilities. The customized robot platform is inexpensive enough to support a“one-robot-per-student” implementation. Applications such as Monte Carlo localization andparticle filters have been realized with this robotics system.Computer science researchers at Carnegie Mellon University (CMU) and CMU’s RoboticsAcademy actively support multi-robot technology education through tutorials, design challenges,programming examples, instructional videos, and teachers’ resources.5 One of the goals is topromote interest in computer science and STEM careers among a K-12
Ruby[13] are not addressed, as the projects have neither been completed, nor have they publiclyreported on the research outcomes. Future research should evaluate what worked and hadmeasurable effects on student educational outcomes and what did not work and how the contextinformed the results.Conclusion The primary goal of these programs from the onset was to make early computingeducation accessible to kids all across the nation in order to promote further CS learningthroughout student’s educational careers. The expectation for many of these RPP programs wasthat they could potentially serve as first contact initiatives for kids in rural and urban areas wherequality CS education is less accessible from a younger age, but that did not
fully aware of the resource until late in their academic career. “I wish I had knownabout it earlier,” lamented one student. Some students said they stumbled upon the videos whilesearching for any online resources, while other students reported discovering the resourcethrough word-of-mouth (classmates or instructors). They expressed the need for frequentreminders by faculty that ME Online exists, especially when students are in their early years inthe program. One student noted: “When I first learned about the videos, I think it was, like, the end of my second year or early third year, and I remember looking at all of the videos there. And I was like, ‘Oh shoot! I could have used these!’ … [The college should] make it clear