process, (b) use of multiple sources of information, (c) interaction withpeers, (d) sufficient time for dialogue and interaction, (e) use of teacher self-ratings, (f) use ofhigh-quality feedback information, (g) examination of conceptions of teaching, and (h) setting ofimprovement goals.As will be described in the sections to follow, at Mines we set out to develop a peer teachingassessment program which relied heavily on the research described above, with the singular aimof improving teaching.Institutional ContextThe Colorado School of Mines is a small, public, engineering-focused university, withapproximately 4200 undergraduate students and 1200 graduate students. The university has twotracks for faculty: tenure/tenure-track faculty, which have
Paper ID #15257Dedicated Curriculum, Space and Faculty: M.Eng. in Technical Entrepreneur-shipDr. Michael S. Lehman, Lehigh University One will find Michael S. Lehman at the intersection of entrepreneurship, science, and higher education. Dr. Lehman is a Professor of Practice at Lehigh University, co-developing and teaching in the Master’s of Engineering in Technical Entrepreneurship, which received national recognition for its role in talent de- velopment by the University Economic Development Association. The faculty appointment also includes roles with Lehigh’s Baker Institute for Creativity, Innovation and
. 13References1. Bloom, B. S.; Engelhart, M. D.; Furst, E. J.; Hill, W. H.; Krathwohl, D. R. Taxonomy of Educational Objectives: Part I, Cognitive Domain; McKay: New York, 1956.2. Willingham, D. T. (2008). Critical thinking: Why is it so hard to teach?. Arts Education Policy Review, 109(4), 21-32.3. Jacquez, R., Gude, V. G., Auzenne, M., Burnham, C., Hanson, A. T., & Garland, J. (2006). 2006-2175: integrating writing to provide context for teaching the engineering design process. 113rd ASEE Annual Conference & Exposition, Chicago.4. Jacquez, R., Gude, V. G., Hanson, A., Auzenne, M., & Williamson, S. (2007, June). Enhancing critical thinking skills of civil engineering students through supplemental
curriculum,” ASEE Annual Conference & Exposition, Indianapolis, IN, June 2014.9. W. G. Blass, A. Hennigar and S. Mao, “Implementation of a software-defined radio based Global Positioning System repeater,” ASEE Southeastern Section Annual Conference, Gainesville, FL, Apr. 2015.10. J. D. Bonior, S. Corum, B. McNew, A. Piras, B. Witherspoon, R. C. Qiu, N. Guo and Z. Hu, “Using software- defined radio network testbed to enhance undergraduate education and encourage graduate level studies,” in Proc. IEEE Southeastcon, Orlando, FL, March. 2012.11. F. Jiang and S. Mao, “Integration of Software-Defined Radios into undergraduate communications system courses for minority students,” ASEE Southeastern Section Annual Conference
Engineering Education. Journal ofEngineering Education, 94(1), 121-130.2 Jonassen, D., Strobel, J., & Lee, C. (2006). Everyday problem solving in engineering: Lessons for engineeringeducators. Journal of Engineering Education, 95(2), 139-151.3 Incropera, F., & Fox, R. (1996). Revising a mechanical engineering curriculum: the implementation process.Journal of Engineering Education, 85(3), 233-238.4 Harris, T., & Jacobs, H. (1995). On effective methods to teach mechanical design. Journal of EngineeringEducation, 84(4), 343-349.5 Hicks, R., & Bevsek, H. (2012). Utilizing Problem-Based Learning in Qualitative Analysis Lab Experiments.Journal of Chemical Education, 89(2), 254-257.6 Kendler, B., & Grove, P. (2004). Problem-Based
their academic classwork orcareer goals and personally in their life outside of school.AcknowledgementsThis work was supported by a fellowship from the National Science Foundation STEM GK-12program “Catalyzing STEM Education via the NAE Engineering Grand Challenges”, grant#DGE-0947936 through Drexel University.” We would like to thank all Drexel GK-12partnership schools, Teachers, Fellows and project co-investigators for your support andfeedback.References1. L. D. Clive, M. A. Alice, E. Ozgur, D. F. Daniel, and J. L. Larry, "Engineering Design Thinking, Teaching, and Learning," Journal of Engineering Education, vol. 94, p. 103, 20052. X. S. Apedoe, B. Reynolds, M. R. Ellefson, and C. D. Schunn, "Bringing Engineering Design into High
National Conference. www.nacua.orgBlank, S., & Dorf, B. (2012). The startup owner's manual: K&S; Ranch.Boh, W. F., De-Haan, U., & Strom, R. (2012). University technology transfer through entrepreneurship: faculty and students in spinoffs. The Journal of Technology Transfer, 1-9.Carney, S. (2001). Faculty Start-Ups: The Tangled Web. Paper presented at the National Association of College and University Attorneys. www.nacua.orgCreed, C. J., Suuberg, E. M., & Crawford, G. P. (2002). Engineering Entrepreneurship: An Example of A Paradigm Shift in Engineering Education. Journal of Engineering Education, 91(2), 185-195.Duderstadt, J. J. (2001). Preparing Future Faculty For Future Universities. Paper
2015][2] Singh, B., Sellappan, N., & Kumaradhas, P. (2013). Evolution of Industrial Robots and theirApplications. International Journal of Emerging Technology and Advanced Engineering, 3 (5), 763-768.[3] Khanlari, A. (2013). Effects of Robotics on 21st Century Skills. European Scientific Journal, 9 (27), 26-36.[4] Moulton, B., & Johnson, D. (2010). Robotics education: a review of graduate profiles and researchpathways. World Transactions on Engineering and Technology Education,8 (1), 26-31.[5] Kircher, E., Girwidz, R., & Häußler, P. (2010). Schülerlabore: Lernen durch forschen und entwickeln.In Kircher, E., Girwidz, R., & Häußler, P. (ed.) Physikdidaktik, Springer Berlin Heidelberg, 799–818.[6] Hansen A
depicted in figure 1, the constant moment value is locatedbetween points B and C. The constant moment value will be used for the experimental test andanalytical calculation of the bending stress. Also, the constant shear force between points A andB or C and D will be used for experimental test and analytical calculation of the shear stress. Figure 1. Pure Bending, Shear and Bending Moment DiagramsThe bending stress is determined by Equation 1, My σbending = (1) Iwhere ‘M’ represents the bending moment, ‘y’ represents the distance from the neutral axis tothe interest cross
work.AcknowledgementsThis research was supported by a grant from the National Science Foundation (#1252372).Bibliography[1] Becker, H. & Blanche Geer (1957). “Participant observation and interviewing: A comparison.” Human Organization, 16(3): 28-32.[2] Becker, H. (1993). How I learned what a crock was. Journal of Contemporary Ethnography, 22:28-35.[3] Stevens, R. Johri, A., O’Connor, K. (2014). Professional Engineering Work. Johri, A., & Olds, B., (Eds). Cambridge Handbook of Engineering Education Research.[4] National Academy of Engineering of the National Academies (2005). Educating the Engineer of 2020: Adapting Engineering Education to the New Century. Washington D.C.: National Academies Press.[5] Stevens, R. (2000). “Divisions
for granted and do not come to auser’s mind when market researchers attempt to identify opportunities for future productimprovements and innovations. Companies, i.e., their employees, need empathy to understand thissituation and why certain experiences and performances with products are meaningful to theuser12.McDonagh13 defines empathy as “the intuitive ability to identify with other people’s thoughts andfeelings – their motivations, emotional and mental models, values, priorities, preferences, andinner conflicts”. In an engineering class the theoretical concept of empathy is probably perplexingand will be rated by the students as a very soft skill or as a psychological approach beyond (a) theboundaries of the engineering disciplines and (b
, to the best of our knowledge, a practical solution and an effective assessmentstrategy have not been adopted for emerging usage models integration such as IWMDs. Ourpedagogical hypothesis is that emerging security research (through cryptographic solutions) canbe integrated in university education considering three teaching and learning approaches; (a).Developing a respective multi-disciplinary laboratory (engineering, mathematics, andbiomedicine in particular) for both research and teaching, (b). Advancing education throughinter- and intra-university research collaborations in the aforementioned fields, and (c).Assessing the outcome through detailed benchmarks. The authors of this work are from differentand diverse backgrounds and have prior
powerful mobile devices (http://qdexapps.com). A mobile knowledge app hasbeen developed at SFSU using qdex to remotely conduct shake table experiments. This appallows users to send different control commands to the shake table and receive sensormeasurements in real-time through TCP/IP. Screenshots of the typical control interface of theapp for sine wave, sine sweep and earthquake inputs are shown in Figure 4. By pressing thedifferent input signal buttons, corresponding control elements (e.g. sliders and toggles)associated with the input signal chosen will be displayed which allow users to interact with theapp and customize the control signal to be sent. a) Sine Wave Input b) Sine Sweep Input c) Earthquake Input
ABET Outcomes and Sandbox Outcome Sandbox Outcomes 1 2 3 4 5 6 7 8 Ability to apply knowledge of mathematics, (a) science, and engineering X X Ability to design and conduct experiments, as (b) well as to analyze and interpret data X X Ability to design a system, component, or process to meet desired needs within realistic (c) constraints such as economic, environmental, X X social, political, ethical, health and safety
: (a) as guidelines for students drafting the proposal; (b) as a template for feedback from communication instructors; (c) as a structure for students giving peer review; and (d) in a modified format as a final grade sheet for the proposal.Teaching students the rhetorical moves necessary to make those tacit assumptions explicitenabled our communication instructors to guide students through a difficult bottleneck. Becausestudents working in these research labs are essentially novice engineers, they may elide thelogical progression that links their own work to a real-world problem. As communicationinstructors teach the rhetorical moves of the problem statement - focusing in particular on thefirst three, and on student
courses. The participants were given the problem on apiece of paper with no force or length dimensions, as shown in Figure 3. The layout of theproblem presented to the participants was similar to the assembled truss shown in Figure 1. A B C P D EFigure 3. Representative image of the truss given to students. Note the absence of dimensions and force magnitudes.Using think aloud protocols, the participants were asked to draw a free body diagram of the truss,verbally describe the steps necessary to determine if the
with professional characteristics affect which stage ofchange faculty are involved in, a significant regression equation was found (F(27,30) = 2.177, ρ< .05) with an R2 of .662. The following factors were found to significantly influence facultyusage of active learning: Availability of physical resources (equipment, technology, supplies, etc.) (B = -.706, p < .01) Self-confidence to implement alternative teaching techniques (B = .486, p < .01) Number of classes taught per term (B = -.508, p < .005) Number of students enrolled in the class (B = .444, p < .05)Availability of physical resources is neither a driving nor restricting force among respondentswhen they are at the pre-contemplation stage (without
job descriptions. Thus, change initiatives should assess these features prior to commencing.This assessment should lead to the development of change strategies to support individual andinstitutional characteristics that promote the use of evidence-based instructional practices.Prior to the start of a university-wide change initiative, we focus on identifying the features ofthree engineering academic departments that are likely to influence improvement in teachingpractices. This research was guided by two questions: (a) Within a doctoral-research institution,what are the characteristics of three engineering academic departments and of individuals withinan academic department that influence the improvement of teaching and learning? (b) Using
covered in the course by integrating experiencesusing a FE analysis program, b) provide students with a basic understanding of FE theory, c)provide students with the skill set needed to model and analyze combined load problems using aFE analysis program; and d) provide students with an understanding of how element type, meshsize, support conditions, and other modeling decisions may impact FE analysis results.Previous studies have sought to incorporate FE modeling and analysis content as early as thefreshman year into the engineering curriculum. However, implementing these approaches inStrength of Materials courses often requires students to spend considerable time learning FEtheory before being able to use commercial FEA programs. A few studies
c 4.18 3.75 4.06 a 4.17 4.10 4.00 f 4.12 3.88 3.74 d 4.05 3.91 3.88 g-‐3 3.91 3.77 3.90 i 3.88 3.73 3.69 b 3.71 3.72 3.77 j 3.26 3.35 3.31 g-‐1 3.25 3.52 3.37 h 3.19 3.40 3.29 g-‐2 3.15 3.46
Arthur B. Powell Rutgers University Rutgers University muteb.alqahtani@gse.rutgers.edu powellab@andromeda.rutgers.eduDynamic geometry environments can support learning of geometry through meditating learners’activity. To understand how dynamic geometry environment mediate the activity of mathematicsteachers, we used Rabardel’s categories of instrument mediations in an instrument-mediatedactivity [1, 2]. We analyzed the discursive and inscriptive interactions of 4 mathematics teacherswho worked for 15 weeks in a team to construct geometric figures and solve open-endedgeometrical problems in a collaborative, dynamic geometry environment. In addition
Education: Innovations and Research, 14(2), 29.9. Li, Q., Swaminathan, H., & Tang, J. (2009). Development of a classification system for engineering student characteristics affecting college enrollment and retention. Journal of Engineering Education, 98(4), 361.10. Doolen, T., & Long, M. (2007). Identification of retention levers using a survey of engineering freshman attitudes at oregon state university. European Journal of Engineering Education, 32(6), 721-734. doi:10.1080/0304379070152078411. Jonassen, D., Strobel, J., & Lee, C. B. (2006). Everyday problem solving in engineering: Lessons for engineering educators. Journal of Engineering Education, 95(2), 139-151.12. Strobel, J., & Pan, R
). 100 Principles of Game Design. New Riders.12. Faber, M., Unfried, A., Corn, J., & Townsend, L. W. (2012). Student Attitudes toward STEM: The Development of Upper Elementary School and Middle / High School Surveys. Friday Institute for Educational Innovation.13. Falkner, K., Vivian, R., & Falkner, N. (20015). Teaching Computational Thinking in K-6: The CSER Digital Technologies MOOC. Australian Computing Educaiton Conference, 27-72.14. Google. (2015). Retrieved from Blockly: https://developers.google.com/blockly/15. Gormally, C., Brickman, P., Hallar, B., & Armstrong, N. (2009). Effects of Inquiry-based Learning on Students’ Science Literacy Skills and Confidence. International
based on multiagent framework with applications to the power grid, and the integration of an intelligent virtual laboratory environment in curriculum. He is an associate editor of Dynamics of Continuous, Discrete and Impulsive Systems: Series B, and is a member of IEEE, ASEE, and Sigma Xi.Dr. Michael Haney, University of IdahoDr. Michael John Santora, University of Idaho Dr. MIchael Santora is a Clinical Assistant Professor at University of Idaho since Fall of 2013. He has worked in industry as a R&D Controls Engineer creating OEM machinary. He specializes in controls, embedded systems and automation.Dr. Brian K. Johnson, University of Idaho, Moscow Brian K. Johnson received his Ph.D. in electrical engineering
Taxonomy, students apply these fundamentals in agroup construction simulation known as the K’NEXercise. Upon completion of theK’NEXercise, and armed with a better understanding of how to utilize project controls tomanage construction, students work in groups to design a base camp in an austere environment.In support of these three sections of the course, CE450 – Construction Management has thefollowing course objectives: a. Develop, refine and manage the triple constraints of a project (Scope, Budget and Schedule) throughout the Project Life Cycle Phases. b. Plan, organize, estimate, schedule and control a construction project (K’NEXercise). c. Design a base camp and its construction.For the K’NEXercise, students in each section are
). Corresponding pins of each connector are permanentlyinterconnected by the PCB. Figure 1 shows The BitBoard layout and nomenclature.Connector A is a 40-pin header plug used to connect The BitBoard to other devices such as anAltera DE1. Connectors B and C are 40-pin header sockets used to connect signals to thesolderless breadboard using jumper wires.A BitBoard connected to a DE1 via a forty-conductor ribbon cable is shown in Figure 2. TheDE1 provides power and input/output to The BitBoard. Altera has recently released a newdevice, the DE0-CV2, that is also compatible with The BitBoard. Power LED Solderless Breadboard PCB Forty-Pin Header Socket (B) Forty-Pin Header Plug (A
when predicting the behavior of the biasing network. To this end, we designed a taskto further investigate the nature of student difficulties with biasing networks. Although therehave been previous work on filters and phase relations in ac circuits in engineering courses5,6, to Fig. 1. (a) Standard schematic of a typical biasing network encountered in a transistor amplifier circuit. (b) Thévenin equivalent circuit for the same biasing network, which is the circuit used in this assessment. the best of our knowledge, this is the first investigation of student understanding of ac biasing(and
., Froyd, J., Merton, P., & Richardson, J. (2004). The Evolution of Curricular Change Models within the Foundation Coalition. Journal of Engineering Education, 93(1), 37–47. 4. Fournier-Bonilla, S. D. B., Watson, K. ., Malavé, C. ., & Froyd, J. (2001). Managing Curricula Change in Engineering at Texas A&M University. International Journal of Engineering Education, 17(3), 222–235. 5. Borrego, M. (Virginia T. (2007). Development of engineering education as a rigorous discipline: A study of the publication patterns of four coalitions. Journal of Engineering Education, 97(1), 5–18. 6. Bjorklund, S. a., & Colbeck, C. L. (2001). The View from the Top: Leaders’ Perspectives on a Decade of Change in
accessibility andavailability of laboratory facilities offered by the department. In dealing with this issue, a mobilelaboratory kit 'Analog Discovery' (AD) kit is integrated into EML and offered to all students. Fig. 2shows the AD kit, its pin-out, and the software interface [15]. (a) (b) (c) © American Society for Engineering Education, 2016 Fig. 2. a) Analog Discovery kit, b) pin-out, and c) interface of ‘Waveform’. The AD kit is a small (3.2"×2.6"×0.8"), portable and low-cost ($99 for US student) multifunctioninstrument that can measure, record and generate analog and digital signals. Driven by a
), 139-153.14. Hrastinski, S. (2008). What is online learner participation? A literature review. Computers & Education, 51(4), 1755-1765.15. Vonderwell, S., & Zachariah, S. (2005). Factors that influence participation in online learning. Journal of Research on Technology in Education, 38(2), 213-23016. International Council on Systems Engineering (2015) INCOSE Systems Engineering Handbook: A Guide for System Life Cycle Processes and Activities, 4th Edition, Wiley.17. He, W. (2013). Examining students’ online interaction in a live video streaming environment using data mining and text mining. Computers in Human Behavior, 29(1), 90-102.18. Arbaugh, J. B., Bangert, A., & Cleveland-Innes, M. (2010). Subject