networking, network security and machine learning. Recently, he has been work- ing on security issues in cloud computing, cognitive radio networks, and wireless sensor networks. Over the years, he has secured funding over $3 million from NSF, AFOSR, DOE, DHS, TBR and local industry for research and educational innovations. He has authored and coauthored over 30 technical refereed and non-refereed papers in various conferences, international journal articles, book chapters in research and pedagogical techniques. He is the director of the Cyber Defense and Security Visualization Laboratory c American Society for Engineering Education, 2016
), 375-406.5. Siddiqui, A.; Aslam, H. D.; Farhan, H. M.; Luqman, A.; Lodhi, M. A., Minimizing potential issues in higher education by professionally developing university teachers. International Journal of Learning and Development 2011, 1 (1), 59-71.6. Gaff, J. G.; Simpson, R. D., Faculty development in the United States. Innovative Higher Education 1994, 18 (3), 167-176.7. Loucks-Horsley, S.; Stiles, K. E.; Mundry, S.; Love, N.; Hewson, P. W., Designing professional development for teachers of science and mathematics. Corwin Press: Thousand Oaks, CA, 2009.8. Sunal, D. W.; Hodges, J.; Sunal, C. S.; Whitaker, K. W.; Freeman, L. M.; Edwards, L.; Johnston, R. A.; Odell, M., Teaching science in higher education: Faculty
phenomenographic analysis of the implementation of competence-based education in higher education. Teach. Teach. Educ. 50, 1–12 (2015).3. CIC Project on the Future of Independent High Education. Innovations in teaching and learning research brief 1: Competency-based education. (2015). at 4. Hodge, S. The origins of competency-based training. Aust. J. Adult Learn. 47, 179–209 (2007).5. Hyland, T. Competence, knowledge and education. J. Philos. Educ. 27, 57–68 (1993).6. Struyven, K. & De Meyst, M. Competence-based teacher education: Illusion or reality? An assessment of the implementation status in Flanders from teachers’ and students’ points of view. Teach. Teach. Educ. 26, 1495–1510 (2010).7. National Acaemy of
Paper ID #15329Teaching Large Computer Science ClassesDr. Shahriar Shamsian, University of Southern California PhD degree in computer science from UCLA 13 years of teaching experience at UCLA and USC 25 years of experience in the software industryDr. Gisele Ragusa, University of Southern California Gisele Ragusa is a Professor of Engineering Education at the University of Southern California. She conducts research on college transitions and retention of underrepresented students in engineering and also research about engineering global preparedness and engineering innovation. She also has research expertise in STEM K-12
, engineering design, and humanities and social science courses. That research, conducted with co-author Juan C. Lucena, will culminate in Engineering Justice: Transforming Engineering Education and Practice (Wiley-IEEE Press, 2017).Dr. Barbara M. Moskal, Colorado School of Mines Barbara Moskal is a professor of Applied Mathematics and Statistics and the Director of the Trefny Institute for Educational Innovation at the Colorado School of Mines. She is also a Senior Associate Editor for the Journal of Engineering Education. c American Society for Engineering Education, 2016 Reflections on the Integration of Social Justice Concepts into an Introductory Control Systems Course (Work in
Paper ID #13184Facilitating successful global research among Engineering and Technologyscholars: The case study of agricultural supply chainDr. Shweta Chopra, Iowa State University Dr. Shweta Chopra is currently an assistant professor in Agricultural and Biosystems Engineering De- partment at Iowa State University. She has Ph.D. in Industrial Technology from Technology Leadership and Innovation Department at Purdue University, Masters of Material Science and Engineering from Rochester Institute of Technology and Bachelors in Polymer Engineering from Pune University. Her re- search areas are lean manufacturing for small and
environment of a Page 26.787.6country would be sustainable. In particular, students were asked to comment on a sustainabledesign of a biogas generator for a secondary school in rural Kyrgyzstan, the ore slurry pipelinefor the new mine in Peru, the new “green” building at a Brazilian university, and the run-of-the-river hydroelectric power plant in the coastal mountains of British Columbia.Students were asked to evaluate the designs and write a series of assignments. This activityaimed to encourage innovative ideas and solutions. It also allowed us to further explore thesocial aspects of sustainability, such as attention to the needs of local
Gateway to Graduation Retreat, IUPUI.27. Lizzioa, A. & Wilson, K. (2013). Early intervention to support the academic recovery of first-year students at risk of non-continuation. Innovations in Education and Teaching International, 50(2), 109–120. doi: 10.1080/14703297.2012.76086728. Nair, C. S., Patil, A., & Mertova, P. (2011). Enhancing the quality of engineering education by utilising student feedback. European Journal of Engineering Education,36(1), 3-12. doi:10.1080/03043797.2010.51823129. Biggers, M., Brauer, A., & Yilmaz, T. (2008). Student perceptions of computer science: A retention study comparing graduating seniors with CS leavers. ACM SIGCSE Bulletin, 40(1), 402-406 doi: 10.1145
essential role in the education of the future STEMworkforce, they are also active participants in economic development and innovation themselves.Another symptom of this state of malaise is the limited progress that has been achieved inreaching parity in participation among all segments of the U.S. population in STEM education.Despite some gains in the representation of minorities in engineering and science, a parity gappersists. In 2008, 12.4% of students who earned BS degrees in engineering came fromunderrepresented minority (URM) populations.14 Although this represents a modest increaseover the previous decade (11.5% in 1995), minority representation drops for advancedengineering degrees, as only 7.0% of Master’s and 3.3% of the PhD degrees
teaching oral-presentation skills to ESL/EFL students. Berk and Trieber4, meanwhile, argue for the use oftheatrical improvisation (improv) à la the television show Whose Line Is It, Anyway? as small-group learning exercises in the college classroom. Ludovice, et al.5 expand this improvisationalidea to the realm of engineering specifically for fostering creative innovation in technicalenvironments, while Hammer, et al.6 describe a Mayo Clinic-affiliated program using improv toimprove medical students’ ability to present case histories.Workshop DescriptionThe workshops involved 226 undergraduate engineering majors divided into six separate timeslots and groupings of 40-50 students each, all of whom were currently enrolled in GE 3513.These workshops
and MSC Software Corp., as well as various consulting and expert witness positions. He also held a faculty position at University of the Pacific and is an adjunct faculty member at University of Texas, Austin. He has received numerous professional awards including a NASA Post-Doctorial Fellowship, ASEE Best Paper Awards, the ASME Most Innovative Curriculum Award, the Ernest L. Boyer - International Award for Excellence in Teach- ing, the US Air Force Academy Seiler Award for Excellence in Engineering Research and the Outstanding Academy Educator Award. He has published over 100 technical articles and generated approximately $3.5 million of research; all at institutions with no graduate program. His research
, 897–919 (2011).2. Fonash, S. J. Education and training of the nanotechnology workforce. J. Nanoparticle Res. 3, 79–82 (2001).3. Light, G. et al. Understanding undergraduate students’ conceptions of a core nanoscience concept: Size and scale. in Proceedings of the First International Conference on Research in Engineering Education (2007). at 4. Beophy, S. P., Magana, A. J. & Strachan, A. Lectures and Simulation Laboratories to improve Learners’ Conceptual Understanding. Adv. Eng. Educ. 3, 1–27 (2013).5. Lu, K. A Study of Engineering Freshmen Regarding Nanotechnology Understanding. J. STEM Educ. Innov. Res. 10, 7–16 (2009).6. Coughlan, A. et al. Enhanced Learning of Mechanical Behavior of Materials via
the 3rd floor of the engineering hall to the markedzones on the 2nd floor of the engineering hall as shown in figures 1 and 2. Each zone as shownin figure 2 was worth a different amount of points as described in the scoring criteria in table 1.The challenge was designed with the idea that delivering the ball to a particular area without adirect line of sight path would be difficult and relate to real life situations in which materialsneed to be transported in difficult environments. The challenge was also designed to be differentfrom other more popular challenges, like egg drops, trebuchet/launcher, and rockets, toencourage innovative thinking. Since the challenge was not similar to other popular challenges,students would not be able to copy
Paper ID #13526A Tale of Two Common Reads: Models for Developing a Successful CommonReading Program for First Year Engineering StudentsStacie Edington, University of Michigan Stacie Edington is the Honors and Engagement Program Officer within the University of Michigan, Col- lege of Engineering.Prof. Archie L Holmes Jr., University of Virginia Archie is a Professor of Electrical and Computer Engineering and serves as Vice Provost for Educational Innovation and Interdisciplinary Studies at the University of Virginia.Prof. Petra Reinke, University of Virginia Petra Reinke started her career with a M.S. degree in Chemistry and a
do specific tasks; this often comes at the expenseof promoting the strategic knowledge associated with expertise. The environment thattoday’s students will encounter in the workplace will require them to adapt to newchallenges in innovative ways. Namely, they will need to become adaptive experts. Tobetter inform CAD education, this work examines how practicing engineers adapt to anew environment and compares this behavior to that of students.To establish the “baseline” adaptive expertise among the sample population, an AdaptiveExpertise Survey (AES) instrument was administered to both the practicing engineers andthe college students. The practicing engineers in this work are asked to model acomponent in a CAD program that they are not
Illinois Institute of Tech- nology. He is currently a Professor in the Department of Electrical and Computer Engineering at Temple University. His primary research interests are currently machine learning approaches to acoustic modeling in speech recognition. His research group is known for producing many innovative open source materials for signal processing including a public domain speech recognition system. He is a Senior Member of the IEEE and has been active in several professional societies related to human language technology. He has authored numerous papers on the subject and holds several patents in this field.Dr. Chang-Hee Won, Temple University Chang-Hee Won is an associate professor of electrical and
currently an Assistant Professor in the Department of Electrical and Computer Engineer- ing at Tennessee State University. He received his Ph.D. degree in Modeling and Simulation from Old Dominion University in 2007 under the supervision of Prof. Min Song. His research interests lie at the intersection of computer networking, network security and machine learning. Recently, he has been work- ing on security issues in cloud computing, cognitive radio networks, and wireless sensor networks. Over the years, he has secured funding over $3 million from NSF, AFOSR, DOE, DHS, TBR and local industry for research and educational innovations. He has authored and coauthored over 30 technical refereed and non-refereed papers in
Professor. He comes with rich industrial experience in software design. Prior to ASU, he worked at SAP as a Senior Design Expert for several years, where he helped design and develop complex software products using User Center Design- (UCD) and other design methodologies. He was instrumental in developing new SAP Design Guidelines as well as multiple software design meth- ods and tools. He received SAP innovation awards for some of his work. Prior to SAP, he worked at other multinational companies including IBM and Johnson & Johnson. Page 26.471.1 c American Society for Engineering
exploring data visualizations of usability data. Page 26.485.1 c American Society for Engineering Education, 2015 Developing a Learning Analytics Dashboard for Undergraduate Engineering Using Participatory DesignUniversities have been seeking innovative ways to measure and track student learning outcomesand empirically identify the conditions that lead to their development. Academic analyticsanswers this call by focusing on the “intersection of technology, information, managementculture, and the application of information to manage the academic enterprise” (p. 2)1. Usingtechnology
afocus on innovative chassis building, and sensor integration. Measurement of wheel diameter andcalculation of wheel circumference were noted for use during programming; (3) Software designto program a number of sensors for high quality robot localization, object detection, andmanipulator control through the use of algorithms; (4) Group based project development toincrease team work efficiency by partnering students of complementary skills. The courseculminated in a presentation day where the high school students demonstrated their projects ingroups. By the end of the course, nearly all students exhibited a much better comprehension ofengineering than they did at the first class meeting. The future improvements of the coursewarecan be
then that the proposed project should result in students beingable to increase the number of credits taken each semester, in accordance with full-time status(average of 16 credits/semester). A direct consequence of scholarship recipients taking morecredits is that they should be able to graduate within 4-5 years. Thus, the proposed project shouldalso result in a reduction in the amount of time it takes for these students to graduate. Page 26.511.8Outcome measures of innovative support servicesIn addition to financial support, the proposed project includes innovative support services forstudents aimed at improving the persistence of students to
. Barger has presented at many national conferences including American Association of Engineering Education, National Career Pathways Net- work, High Impact Technology Exchange, ACTE Vision, League of Innovation and others. Dr. Barger serves on several national panels and advisory boards for technical programs, curriculum and workforce initiatives, including the National Association of Manufacturers Educators’Council. She is a Fellow of the American Society of Engineering Education, a member of Tau Beta Pi and Epsilon Pi Tau honor societies. She is a charter member of both the National Academy and the University of South Florida’s Academy of Inventors. Dr. Barger holds a licensed patent and is a licensed Professional
stress in mechanics of materials. Paper presented at the ASEE Annual Conference & Exposition, Honolulu, HI.21 Brown, S. A., Montfort, D., & Hildreth, K. (2008). An investigation of student understanding of shear and bending moment diagrams. In W. Aung, J. Mecsi, J. Moscinski, I. Rouse, & P. Willmot (Eds.), Innovations 2008: World Innovations in Engineering Education and Research (pp. 81-101): Begell House Publishing.22 Montfort, D., & Brown, S. A. (2011). Building fundamental engineering knowledge: Identification and classification of engineering students' preconceptions in mechanics of materials. Paper presented at the Annual Conference of the American Educational Research
next program iterations includedIntroduction to Computing and then Introductory Physics as substitutes, along with self-pacedcomputer-based math enrichment programs such as Plato. The substitute courses did not providetransferable credits (for STEM degrees) however, and as enrollments remained flat we continuedto seek new program innovations. One of the annual modifications that turned out to be verypopular was a robotics project. This element has become a permanent fixture of the program.During this period a multitude of engineering summer bridge programs were introduced inalmost every school across the country and in our area 8,9,10, 11. The students had multiple choicesto spend their summers and enrollment reflected these competing
have a wide set of innovative training tools[10,11]. Among these, virtual reality and environments have a great potential to enhance thelearning process. Virtual environments (like Second Life) can provide users with the opportunityto create an emergency situation that could not otherwise be experienced due to safety, cost, andenvironmental factors [12,13]. This can provide students with a hands-on experience that is morerealistic and immersive than any classroom scenario can provide. Thus, students have theopportunity to become better equipped to handle real life situations. Students can makeappropriate decisions on urgent matters because virtual environments have given them a toolthrough which they have developed skills in a safe yet
a customer-appropriate value proposition 4. Persist through and learn from failure to learn what is needed to succeed 5. Effectively manage projects and apply the commercialization process (within respective disciplines) 6. Demonstrate voluntary social responsibility 7. Relate personal liberties and free enterprise to entrepreneurshipLawrence Technological University (LTU) is one of the first participating KEEN institutions.Along with Boston University, Saint Louis University, Kettering University, WorchesterPolytechnic Institute, and Gonzaga University, they form the Dynamic Compass Network (DCN)that focuses on faculty excellence, curricular innovation, peer collaboration, and experientiallearning. The KEEN program
Paper ID #13507Integration of academic advising into a first-year engineering design courseand its impact on psychological constructsDr. William H Guilford, University of Virginia Will Guilford is an Associate Professor of Biomedical Engineering at the University of Virginia. He is also the Undergraduate Program Director for Biomedical Engineering, and the Associate Dean for On- line Innovation. He received his B.S. in Biology and Chemistry from St. Francis College in Ft. Wayne, Indiana and his Ph.D. in Physiology from the University of Arizona. Will did his postdoctoral training in Molecular Biophysics at the University of
/innovations/spotlights/bonk.php18. Southeastern Transportation Research, Innovation, Development and Education (STRIDE). Available at http://stride.ce.ufl.edu/ Page 26.1029.11
, amperage, voltage, airflow, and energy consumption.ASEE Annual Conference, 2015Design and troubleshooting are considered as two subcategories of problem solving (McCade). Problemsolving has been defined in many ways. Ritz describes a problem as a need which must be met (Ritz, etal. 1986a). The main difference between the two subcategories is the fact that the design is a “proactive”problem solving (Baker & Dugger, 1986) and the troubleshooting is a “reactive” problem solving (Baker& Dugger, 1986). The design involves more innovation, where the troubleshooting involves therecognition that technology encompasses (Baker & Dugger, 1986).More recently, Design is defined by Nielsen (2003), “A Problem is basically impression of a tension or
USA.2. Jamieson, L. and J. Lohman, Innovation with Impact: Creating a Culture for Scholarly and Systematic Innovation in Engineering Education, ASEE, Editor. 2012: Washington, DC.3. Loshbaugh, H. and B. Claar. Geeks are chic: Cultural identity and engineering students’ pathways to the profession. in Proc. ASEE. 2007.4. Lord, S. and J. Chen, Curriculum Design in the Middle Years, in Cambridge Handbook of Engineering Education Research, A. Johri and B.M. Olds, Editors. 2014, Cambridge University Press: New York, NY, USA.5. National Research Council (U.S.). Committee on Learning Research and Educational Practice., et al., How people learn : bridging research and practice. 1999, Washington, DC: National