this international workshop program since 2015. I designed learningenvironment with design principles for knowledge building in both of programs (table 1)(table 2)(table 3).In 2015, three Japanese students and six Indian students took part in this program. The themeof 2015’s program is “Application software with Augmented Reality (AR) for Visitors”.Students developed an application software that people can use on android smartphone.Indian students and Japanese students developed new application software for each other.Students ware required knowledge of JAVA, knowledge of AR, graphic design skill andprograming skill as engineering knowledge and skills. All of Japanese students came fromengineering department, but major was different. One was
”, ICEE2011 - August 2011, Belfast, North Ireland, UK.5. Friesel,A., Avramides, K., Cojocaru, D.: “Identifying how PELARS-project can support the development of new curriculum structures in engineering education”, The Experimental International Conference 2015 (exp.at'15), June, 2015, University of Azores, Ponta Delgada, São Miguel Island, Azores, Portugal.6. Krumm, A.E.; Waddington, R.J.; Lonn, S.; Teasley, S.D. :” Increasing Academic Success in Undergraduate Engineering Education using Learning Analytics: A Design-Based Research Project”; Annual Meeting of the American Educational Research Association. Vancouver, BC, Canada, 2012-04 ; . http://hdl.handle.net/2027.42/1060327. Dragon, T., Mavrikis
specific to a first year Thermodynamics course, and aMechanical and Biosystems engineering program, demonstrate the aptitudes for lifelong learning.The analysis is guided by the research question that emerged from the data: What evidence ofstudents’ aptitudes for lifelong learning is found when students are encouraged to speak abouttheir learning experiences? The data are analyzed via hypothesis coding that was constructedusing the seven Dimensions of Learning Power from Deakin Crick et al.’s (2004) EffectiveLifelong Learning Inventory (ELLI)6, and the emergent codes of Becoming an engineer andAppreciation for lifelong learning. Through this pilot study, which has serendipitously emergedfrom these data, we propose to explore both the capacity and
needed to support the positive effectsof concept mapping and determine the best implementation method.References[1] Abel, Willie Mae, and Martha Freeze. "Evaluation of Concept Mapping in an Associate Degree NursingProgram." Journal of Nursing Education 45.9 (2006): n. pag. Web.[2] Bar-Lavie, Ben. "Enhancing Meaningful Learning in an Environmental Education Program: A Case Study of aClass Empowered Through the Use of Novak's and Gowin's Principles of Learning How to Learn, ConceptMapping, Interviewing, and Education." Cornell University, n.d. Web.[3] Brown, David S. "High School Biology: A Group Approach to Concept Mapping." The American BiologyTeacher 65.3 (2003): 192-97. Web.[4] Karpicke, J. D., and J. R. Blunt. "Retrieval Practice Produces
(s) despite the shortened timeline. Second attempts (or firstre-takes) were administered in the immediate post-class window mentioned above. Frequently,students were able to leave those sessions knowing if their work that day met the standard or ifthey would need a third attempt. Between a first and second attempt, students were left to theirown devices to determine how to remediate their understanding. They were welcome to seekextra instruction, but not required to do so. Between the second and third attempt, however, theywere required to discuss their particular issues with the instructor before continuing the examcycle. Institutional administrative constraints prevented dis-enrolling students from the course fornot demonstrating required
ability toapply fundamental principles into the experimental studies, understand the aspects of thematerials, and recognize the applications of the materials in engineering fields. At the end of thesemester of Fall 2017, a questionnaire was handed out in class to assess the learningeffectiveness. Four questions related to the experimental studies are: 1. Do you agree that the lab is a good way to learn and reinforce the fundamental concepts of the materials? a. Strongly agree b. Agree c. Neutral d. Disagree e. Strongly disagree 2. Which of the following has been the best source(s) for you to learn the course materials? a. Lectures b. Homework c. Labs d. Midterm exam e. Examples 3. Which
a four-component model. Mis Quarterly , 30 (1), 167-180.Peterson, D. K. (2002). Computer ethics: the influence of guidelines and universal moralbeliefs. Information Technology & People , 15 (4), 346-361.Phukan, S. (2005). Using Information Technology Ethically: New Dimensions in the Age ofthe Internet. The Business Review, Cambridge , 4 (1), 234-239.Renwick, J. S., & Riemenschneider, C. K. (2013). A model of ethical decision making byinformation technology students. Journal of Computing Sciences in Colleges , 28 (5), 62-69.Riemenschneider, C. K., Leonard, L. N., & Manly, T. S. (2011). Students' Ethical Decision-Making in an Information Technology Context: A Theory of Planned Behavior Approach.Journal of Information Systems
the open-source CFD code (OpenFOAM).Dr. Jason E. Butler, University of Florida c American Society for Engineering Education, 2018 2018 ASEE Southeastern Section Conference Work in Progress: Peer-Led Research Methods Workshop for First-Year Ph.D. Students (Student Paper) Vincent J. Tocco1, Kevin E. Buettner1, Madeline Sciullo2, Jennifer S. Curtis3 and Jason E. Butler1 1 Department of Chemical Engineering, University of Florida, Gainesville FL; 2Department of Electrical andComputer Engineering, University of Florida, Gainesville FL; 3Department of Chemical Engineering, University of
consider quantitative accreditationstandards. In an era when a majority of engineering schools did not yet have extensive offeringsin engineering science, quantitative standards were the quickest way of getting U.S. engineeringschools to accommodate the perceived curricular needs of the Cold War era [23].EC 2000’s OriginsThe Cold War consensus favoring the engineering sciences generally held into the 1970s.Nevertheless, as concerns about U.S. manufacturing productivity and national competitivenessgrew during the 1970s and 1980s, there emerged a sense that the U.S. was winning one front ofthe Cold War, only to be falling behind on the other. While not all U.S. colleges and universitiesembraced the engineering sciences as strongly as others, there
rubric, Watson et al.’s sustainable design rubric,Nagel et al.’s design process rubric, and the creativity-measurement rubrics and matrices ofGenco et al. and Moss.1. Background and Relevant LiteratureDesign for the Environment is a class of approximately 30 undergraduate engineering studentsand is comprised of juniors and seniors from all disciplines. The class size is maintained at amaximum of 30, in part so the school’s maker spaces can be utilized for in-class activities andprototyping. The course covers fundamental concepts, including sustainability designframeworks, the design process and the role of innovation, life cycle assessment, and toxicityand risk, as well as focused case studies on topics such as energy, water, agriculture
seek to gather data from large sample sizes that provide strong evidence for possible trends.We recognize that our current methodology is not feasible for a larger-scale study implementedby course instructors nationwide, as it requires work on the part of the instructor. We aredeveloping standardized problems and an accompanying questionnaire that can be easilyintegrated as a homework problem in the appropriate course(s). We will use online datacollection, and point-of-collection consent, to minimize any work for the course instructor.To further support standardization, we will not be using previous simulation tools such asGMAT but rather are developing simulation tools that can be run on software commonly used byengineering students, such as
toengineering education because of the link between identity formation, critical for entry andretention into a discipline, and the lack of diversity in United States engineering: “undergraduateengineering education is dominated by [w]hite males. The majority of all bachelor degreesawarded in engineering are to [w]hite males”[4],[5]. Thinking about students’ meaningful writingexperiences as related to enagement may be a way to further examine engagement as a “precursorto persistence”[6].Defining meaningful writing is important to understand its distinction. In the Meaningful WritingProject, Eodice, Geller, & Lerner [3] define meaningful writing as Agentive: develop[s] a sense of agency about [students] as writers, learners, and thinkers
valuable in managing the teams and their learning experience during thecourse and later for reflecting on the efficacy of the learning activities and determiningwhere improvements may be needed. This method requires at least one member of aninstructional team or a single instructor to teach and evaluate the same course(s) for morethan a single iteration. A modified version could be employed if a researcher were engagedin the course observations and evaluations over time with different instructors. The efficacyof the latter model has not been tested.Both qualitative and quantitative data are collected while teaching the design courses,managing the teams, and their projects. The primary purpose of the data collected is studentlearning activities and
from: https://engineeringunleashed.com/mindset-matters/framework.aspx2. Maixner M, Baughn J. Teaching psychrometry to undergraduates. In: ASEE Annual Conference and Exposition, Conference Proceedings. 2007.3. Shepard T, George C. Desalination Design Project for Thermodynamics Lab. In: ASEE Annual Conference and Exposition, Conference Proceedings. 2010. p. 15.345.4. Peuker JM, Peuker S. Incorporating Active Learning into a Thermal System Design Lecture. In: ASEE Annual Conference and Exposition, Conference Proceedings [Internet]. Atlanta, GA; 2013 [cited 2020 Jan 17]. p. 23.727.1. Available from: https://peer.asee.org/incorporating-active-learning-into-a-thermal-system-design-lecture5. Somerton C, Genik L
of 2014, the J. B. Speed School of Engineering (SSoE) at the University of Louisville(UofL) commenced an endeavor to renovate the school’s existing course(s) focused onintroducing first-year students to the profession and fundamentals of engineering, resulting in atwo-course sequence that all first-year SSoE students are required to take. The first component ofthis sequence, Engineering Methods, Tools, & Practice I (ENGR 110), is structurally analogousto the previously existing introductory course and is primarily focused on introduction to andpractice with fundamental engineering skills. The second component, Engineering Methods,Tools, and Practice II (ENGR 111), is a makerspace-based course primarily focused onapplication and
] K. E. Rambo-Hernandez, M. Jeremy, and C. Schwartz, “Examining the Effects of Equity, Inclusion, and Diversity Activities in First-Year Engineering Classes,” in American Society for Engineering Education Annual, 2019.[2] A. R. Daane, S. R. Decker, and V. Sawtelle, “Teaching About Racial Equity in Introductory Physics Courses,” Phys. Teach., vol. 55, no. 6, pp. 328–333, Sep. 2017.[3] ABET Engineering Accredidation Commission, “Criteria for Accrediting Engineering Programs, 2019 – 2020,” Baltimore, MD, 2018.[4] C. Corbett and C. Hill, Solving the equation : the variables for women’s success in engineering and computing. Washington, DC: AAUW, 2015.[5] E. Cech, B. Rubineau, S. Silbey, and C. Seron, “Professional
Engineering Technology program (or similarly named) in the USA has atleast one or two required course(s) in embedded system technology. In general, such coursesare offered either at freshman, sophomore and/or junior level. They train the students withtheory and application of embedded systems including how to program a given micro-controller and interface with different peripherals.In the author’s department, there is a sequence of two embedded system courses at the 1xxxand 2xxx level and they are required courses for the Electrical and Computer EngineeringTechnology (ECET) undergraduate program. At the time of writing this paper, the 2xxx levelcourse used a popular microcontroller platform ATMEGA 2560. In addition, the author’sECET program also has
. 1, pp. 26–39, 2000.[4] R. M. Felder, D. R. Woods, J. E. Stice, and A. Rugarcia, “The Future of Engineering Education II. Teaching Methods that Work,” Chem. Eng. Educ., vol. 34, no. 1, pp. 26–39, 2000.[5] C. Henderson, A. Beach, and N. Finkelstein, “Facilitating change in undergraduate STEM instructional practices: An analytic review of the literature,” J. Res. Sci. Teach., vol. 48, no. 8, pp. 952–984, Oct. 2011.[6] D. J. Bernstein, “Peer Review and Evaluation of the Intellectual Work of Teaching,” Chang. Mag. High. Learn., vol. 40, no. 2, pp. 48–51, 2008.[7] V. Peterson, C. James, H. E. Dillon, S. Salomone, T. Prestholdt, and E. Anctil, “Spreading Evidence-Based Instructional Practices
pedagogical approach based on learning from our first offering of the course.References[1] Lord, S. M., Mejia, J. A., Luckett, K., Wolmarans, N., and Mochekoane, N. “Decolonizing Engineering Education: Where do we start?,” Workshop presented at the 2019 Research on Engineering Education Symposium (REES), Cape Town, South Africa, July 11, 2019.[2] Lord, S. M., Mejia, J. A., Chen, D. A., and Hoople, G. D., “Starting a Dialogue on Decolonizing Engineering Education,” Special Session presented at the 2019 Frontiers in Education (FIE), Cincinnati, OH, October 18, 2019.[3] Nelson, M., Hoople, G.D., Mejia, J., Chen, D.A., & Lord, S. (2020). “Work-in-Progress: What is Energy? Examining Engineering Students’ Conceptions of Energy”, in
executed only when requested, rather than loading the entire program at the beginning.We will also provide a better view of the 3D rendering model using multiple images fromwebcams positioned at different locations within the machine work envelope. Finally, we willconduct a formal assessment of students’ learning.AcknowledgementsThis material was supported by the National Science Foundation’s Advanced TechnologyEducation Program (award no. 1304843). Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author and do not necessarily reflectthe views of the National Science Foundation.Bibliography[1] Hsieh, S. “Design of Remotely Accessible Automated Systems to Enhance Industrial Automation
: https://code.org/advocacy/state-facts/MS.pdf[3] R. M. Marra, M. Schuurman, C. Moore, and B. Bogue, “Women Engineering Students’ Self- Efficacy Beliefs – The Longitudinal Picture,” 2005.[4] V. White, S. Lee, L. Lineberry, D. Grimes, J. Ivy, “Illuminating the Computing Pathway for Girls in Mississippi,” ASEE Annual Conference & Exposition, Salt Lake City, UT, 2018.[5] A. Quade, “Development and validation of a computer science self-efficacy scale for CS0 courses and the group analysis of CS0 student self-efficacy,” Proceedings ITCC 2003. International Conference on Information Technology: Coding and Computing, Las Vegas, NV, USA, pp. 60-64, 2003. doi: 10.1109/ITCC.2003.1197500.[6] A. Bandura, “Self-Efficacy,” vol. 4, no. 1994
sensitivity/awareness) and decide on ethical actions (similar tojudgment/imagination). The table also indicates if there was evidence of each code for the threecourses based on if any student discussed something that was coded to the element of the 4DDD.Table 2: Deductive codes from the 4DDD and evidence from focus group of students fromthe courses (F = Fluid Mechanics, E = Sustainable Energy, S = Energy and Sustainability,No = not observed)Code Definition CourseMastery Competence, proficiency in understanding and applying No knowledgeBroader context Understanding of the subject’s societal implications F, E
, “Training graduate teaching assistants in thegeosciences: Our practices vs. perceived needs,” Journal of Geoscience Education, vol. 67, no. 1,pp. 64–82, Feb. 2019.[2] M. D. Sundberg, J. E. Armstrong, and E. W. Wischusen, “A REAPPRAISAL OF THESTATUS OF Introductory Biology Laboratory Education in U.S. Colleges & Universities,” TheAmerican Biology Teacher, vol. 67, no. 9, pp. 525–529, 2005.[3] Z. Zhan and H. Mei, “Academic self-concept and social presence in face-to-face and onlinelearning: Perceptions and effects on students learning achievement and satisfaction acrossenvironments,” Computers & Education, vol. 69, pp. 131–138, 2013. [4] S. Saunders, and D.Kardia, Creating Inclusive College Classrooms. Center of Research on Learning and
education funding –Department of Defense basic and applied research –Specific research accounts for other mission agencies (e.g. DOE, NASA, NIH) –Pell and other student aid• Protect Against Threats to Engineering Schools and Colleges –Science and Security –Immigration – high-skilled immigration and student talent pipeline (e.g. H1B visas, OPT, DACA)• Inform Education, Research, and STEM Policy –Research agency reauthorizations (e.g. NSF, Defense, NASA, Applied Energy) –National Defense Education Act reauthorization –Higher Education Act reauthorization – student impacts, teacher training2019 Begins…2019 Comes to a CloseBig Picture: Federal Outlook for Engineering Federal S&T enterprise has enjoyed significant funding increases in
) is a 5-day program offered byMissouri University of Science and Technology (Missouri S&T) to introduce high schoolstudents to various engineering disciplines. The Intro Camp occurs at three different timesduring the summer and typically attracts incoming high school juniors and seniors. The IntroCamp was established with the following goals: (1) increasing students’ knowledge of variousengineering disciplines, (2) enhancing students understanding on how math and science relate tothe field of engineering through hands-on activities, (3) introducing the educational and researchopportunities at Missouri S&T, and (4) preparing high school students for making a thought-outdecision on choosing career or disciplines they want to
work.Authors: Stanislow, Dannels, and Chua Page 5 of 7 ASEE St. Lawrence Section Conference, 2018 Cornell University April 20-21, 2018References[1] M. A. Jones, “Deafness as culture: A psychosocial perspective,” Disability StudiesQuarterly, vol. 22, no. 2, pp. 51–60, Spring 2002.[2] M. Erard, “Why sign-language gloves don’t help deaf people,” The Atlantic, 09-Nov-2017.[3] D. E. Krutz, S. A. Malachowsky, S. D. Jones, and J. A. Kaplan, “Enhancing the educationalexperience for deaf and hard of hearing students in software engineering,” 2015, pp. 1–9.[4] C. Padden and T. Humphries, Inside Deaf Culture. Cambridge, Mass.: Harvard UniversityPress, 2005.[5] E. Dolnick, “Deafness as
Lossless Lines, the Smith Chart and Impedance Transformation, Impedance Matching, and Lossy Lines; • Network Theory which covers Z, Y, S and ABCD multi-port parameters, S and T two port parameters; • Practical Transmission Lines which covers waveguides, coaxial lines, strip-style transmission lines, and transmission line filters (a brief look in this first course with more details in the follow on course); • Microwave Power Directivity which covers power dividers and directional couplers; and • Microwave and RF System concepts including distortion prediction using intercept points, dynamic range (linear and spurious free), system gain and noise figure and communications link budgets. The
)Design.The first offering of the course will be in spring 2007. The goals of this course is to give students areal-world experience on FPGA logic design and give them the necessary training with industrywidely used design tools, XILINX ISE webPACK, Xilinx Spartan Family Evaluation board andModelSim simulation tool. On the other hand, the long term goals of this course is to provide alearning opportunity at the School of Technology which will result in a research activities focusedon FPGA and hardware design modeling. This research would provide more in-depth training for Page 12.1357.5senior students.References:[1] N. Alaraje, S. Amos and J. E
cycle, the result is a data error on the bus. Because of the high speeds…of today’s systems, jitter that used to be negligible is now very significant, and can prevent a system from working correctly.1 Today’s designers need the ability to analyze jitter, trace its root cause(s), and mitigate or eliminate the cause(s). In order to effectively analyze jitter, one must understand its nature, the various measurements, how those measurements can be displayed, and the tools used to do the measurement and display. The first section provides a brief review of these jitter topics. For a more detailed discussion, see the first paper in this series and its source references.1 The premise of this series of papers is that it is preferable
objectives for adesign project than the designer- whether in a consulting office or in a classroom- want to findout what the customer really wants. Questions such as: what is an economic project? How doyou define the best design? What is a safe design? What are the factor(s) that will affect thedesign the most? Phrasing it differently, knowledge resides in the questions that can be asked andthe answers that can be provided(2) .A sequence of inquiry characterized by a hierarchy: certainquestions need to be asked and answered before other questions can be asked. There is a setprocedure which constitutes the inquiry process in an epistemological context. Taxonomies ofsuch a procedure or inquiry process have been extended to computational models(4) , to