considerations for position abstract development, were provided to all applicants: Position Abstracts should begin by describing the authors’ current and planned research, then extend it to recommend approaches that improve the community’s shared understanding of DMTL. All Position Abstracts should address the following essential questions: I. Key Challenges: Which challenge(s) related to digitally-mediated team learning does this Position Abstract address? II. Maturity: Has the approach been implemented? Under what circumstances? What were the outcomes thus far (in terms of learning gains, student perception, etc.)? III. Research Direction: What is the promising research direction for this topic? IV. State-of-the-Art: Across the community
EEfaculty. One or two progress reports from one discipline to another is necessary to keep both teamson track. 8. References[1] T. D. and J. D. Will. "An innovative multidisciplinary capstone design course sequence." age 8 (2003): 1.[2] D. S. Strong "Toward effective multidisciplinary engineering education: the multidisciplinary design stream at Queen’s University." Proceedings of the Canadian Engineering Education Association, CEEA 2005.[3] ABET. 2016-2017. Criteria for Accrediting Engineering Programs. Engineering Accreditation Commission, Accreditation Board for Engineering and Technology, Baltimore, MD. [Online] Worldwide web address: https://www.abet.org/accreditation/accreditation- criteria/criteria-for-accrediting
StateUniversity, 2016.[4] F. Tan, F. Yang, A. Tan, J. Yang and M. Parke, “Cultural Heritage of Ancient China: TheEngineering of China’s Pagodas,” Proceeding of the 6th International Cultural AdministrationConference, Beijing, China, July, 2018.[5] F. Yang, S. Hao, A. Tan and F. Tan, “Graphic Modeling for Step-By-Step Construction ofThe Dayan Pagoda in Xi’an,” Proceeding of the 16th International Conference on Geometry andGraphics, ICGG 2016. Beijing, China, August, 2016. pp. 361-75.[6] F. Yang, S. Hao, A. Tan, J. Yang, F. Tan and M. Parke, “Simulation of The Giant WildGoose Pagoda In Immersive Virtual Reality Environment,” Proceedings of the 18thInternational Conference on Geometry and Graphics - 40th Anniversary, ICGG 2018, Milano,Italy, August, 2018
institutionalchange that occurs as the result of the realized value.Plans for Data Collection and AnalysisTo perform this study in the near future, we would use mixed methods to obtain data on how aFYECS can obtain value from living in the EIRC LLC located at Boise State University. Thisstudy will be conducted with the goal of learning how working with a LLC can create value forthe FYECS through using Wenger et al.’s Value Creation Framework [1]. Through the use of theValue Creation Framework, the researchers will provide a foundation for the evaluation processwhere the integration of heterogeneous sources of data will help to create a picture of hownetworks or communities can potentially create value for the FYECS [1].For this study, purposeful sampling
feature of an IEEE Region 1 student ethics competition.4This paper describes a novel method that incorporates and assesses the internalization of ethicalconsiderations within an introductory biomedical and rehabilitation engineering course open toall in the university. BR200 is a required course for our minors in Biomedical Engineering (forengineers) and Biomedical Science and Technology (for non-engineers). BR200’s ethics andwriting components fulfill a university Knowledge Area requirement in Science, Technology andSociety and a two-communication-point one. From the class syllabus: The educational objectives of this course are to prepare students with an oversight of the BmE field and an insight into its applications that will enable them to
Evaluation of Green Buildings," in American Society of Engineering Education Annual Conference and Exposition, Austin, 2009.[2] Engineering Accreditation Commission, "Criteria for Accrediting Engineering Programs," ABET, Baltimore, 2015.[3] National Academy of Engineering, "Educating the Engineer of 2020: Adpating Engineering Education to the New Century," 2005.[4] Civil Engineering Body of Knowledge for the 21st Century: Preparing the Civil Engineer for the Future, Reston: American Society of Civil Engineers, 2008.[5] R. D. Kelley, A. L. Miller and J. B. Dooley, "Energy Conservation in the Classroom," in 2011 American Society of Engineering Education Annual Conference & Exposition, Vancouver, 2011.[6] M. Menekse, G. Stump, S
, D. K. Follman, M. Sumpter, and G. M. Bodner, “Factors Influencing the Self-Efficacy Beliefs of First-Year Engineering Students,” J. Eng. Educ., vol. 95, no. 1, pp. 39–47, 2006.[8] A. R. Carberry, H.-S. Lee, and M. W. Ohland, “Measuring Engineering Design Self- Efficacy,” J. Eng. Educ., vol. 99, no. 1, pp. 71–79, 2010.[9] A. Bandura, Self-efficacy: The exercise of control. New York, NY, US: W H Freeman/Times Books/ Henry Holt & Co, 1997.[10] C. Speier and Mi. Frese, “Generalized Self Efficacy As a Mediator and Moderator Between Control and Complexity at Work and Personal Initiative: A Longitudinal Field Study in East Germany,” Hum. Perform., vol. 10, no. 2, pp. 171–192, Jun. 1997.[11] M. Besterfield‐Sacre, C. J. Atman
that they learned much or learned very much from the ML. The students wereasked to write a piece of information learned from the micro-lecture topic (selective assembly andtolerances analysis). Here are some samples of student’s answers (“ISO has 3 standards, selectiveassembly is 100% interchangeability, and reduce machine time but increase cost.”, “The limitationof selective assembly slide was become new information to me. Normal distribution was expected,however, I think it would been hypergeometric. It was interesting that selective assembly was usedsince in 1930's.”, “allows for 100% interchange with the cost effectiveness of statistical”. Thestudent’s feedback shows increased knowledge and advanced thinking about the subject
without them, the activities described would not have beenpossible. 15References 1.) RCEL (2016). RCEL stakeholder perception survey, Unpublished raw data. 2.) Fleischmann, S. T. (2004). Essential ethics—embedding ethics into an engineering curriculum. Science and Engineering Ethics, 10(2), 369-381. 3.) Roach, M., & Sauermann, H. (2010). A taste for science? PhD scientists’ academic orientation and self-selection into research careers in industry. Research Policy, 39(3), 422- 434. 4.) Denton, D. D. (1998). Engineering education for the 21st century: Challenges and opportunities. Journal of Engineering
community libraries. Hands-on activities and workshops on making foldable structures and modular constructions would raise the importance of the subject and add value of user participation in the process.(3) Knowledge of disasters along with shelter design would empower communities to cope with disasters and construct/reconstruct safe and resilient shelters.(4) Shelter design would give students a higher purpose of serving local communities while engaging the public in participatory learning.References[1] Alegria Mira L., “Deployable Scissor Arch for Transitional Shelters,” Automation in Construction, 43, pp. 123-131, 2014.[2] Bashawri A., Garrity S., and Moodley K., An Overview of the Design of Disaster Relief Shelters, Procedia
value with some aspect of thedemonstration. We received the strongest responses with “This demo activity was a good use ofclass time” (4.71±0.57) and “This demo was interesting and engaging” (4.68±0.58). One studentshared with us that “I love demos. You are interacting, and you are not just watching a YouTubevideo.” The variation between the responses to the quiz questions and the activity questions maybe explained by Watson et al.’s [30] understanding from previous studies, where students tend toover-estimate their attitudes.We understand that these results are not to be generalized to all groups of environmentalengineering students. The demonstration was tested with a single cohort of students (n=31) fromthe Air-Quality Engineering course. To
expected by chance” [2, para. 1]. The second test was Kendall’s tau to show correlations between organizational successand implementation of a defined process model. Kendall’s tau is a measure of rank correlation.“Kendall-tau is a non-parametric correlation coefficient used to assess and test correlationsbetween non-intervals scaled ordinal variables. Frequently, researchers use the Greek letter τ(tau) to abbreviate the Kendall tau correlation coefficient” [5, p. 14]. Rank correlation is aninteresting method to assess and evaluate the data collection [22]. Kendall’s tau is well knownand broadly used to measure the degree of the relationship between variable [22].References1. Aasheim, C. L., Lixin, I., & Williams, S. (2009). Knowledge
: Oct. 14, 2018].[3] D. Bennett and S. A. Male, “An Australian study of possible selves perceived byundergraduate engineering students,” Eur. J. Eng. Educ., vol. 42, no. 6, pp. 603–617, 2017.[4] J. Shane, C. L. del Puerto, K. Strong, K. Mauro, and R. Wiley-Jones, “Retaining womenstudents in a construction engineering undergraduate program by balancing integration andidentity in student communities,” Int. J. Constr. Educ. Res., vol. 8, no. 3, pp. 171–185, 2012.[5] S. Aguirre-Covarrubias, E. Arellano, and P. Espinoza, “‘A pesar de todo’ (DespiteEverything): The Persistence of Latina Graduate Engineering Students at a Hispanic-ServingInstitution,” New Dir. High. Educ., vol. 172, pp. 49–57, 2015.[6] Center for the Advancement of Engineering
otheruniversities.References [1] A. Holdsworth, K. Watty, and M. Davies, Developing Capstone Experiences. Melbourne, Australia: University of Melbourne, Centre for the Study of Higher Education, 2009. [2] Computing Accreditation Commission, “Criteria for accrediting computing programs, 2019-2020,” 2019, last accessed 29 January 2019. [Online]. Available: https: //www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-computing-programs-2019-2020/ [3] R. H. Todd, S. P. Magleby, C. D. Sorensen, B. R. Swan, and D. K. Anthony, “A survey of capstone engineering courses in north america,” Journal of Engineering Education, vol. 84, no. 2, pp. 165–174, 1995. [4] Engineering Accreditation Commission, “Criteria for accrediting
the differences in experiences that differing identitieshave, as well as the need to homogenize these experiences.References[1] G. Cavalcanti, “Is it a Hackerspace, Makerspace, TechLab, or FabLab?,” Make: DIY Projects and Ideas for Makers.[2] W. C. Barrett, T. W., & Pizzico, M. C., & Levy, B., & Nagel, R. L., & Linsey, J. S., & Talley, K. G., & Forest, C. R., & Newstetter, “A Review of University Makerspaces,” in 2015 ASEE Annual Conference & Exposition.[3] C. B. Leggon, “Diversifying Science and Engineering Faculties: Intersections of Race, Ethnicity, and Gender,” Am. Behav. Sci., vol. 53, no. 7, pp. 1013–1028, 2010.[4] C. E. Foor, S. E. Walden, and D. A. Trytten, “‘I Wish that I
demonstrates that we accomplish more and are willing to go further because we are part of a group.”References[1] Hay, Iain. Qualitative Research Methods in Human Geography. Oxford University Press. 2005.[2] National Academy of Engineering, The Engineer of 2020, 1st ed. Washington, D.C.: National Academies Press, 2004. [E-book]. Available: National Academy of Sciences.[3] K. Jablokow, “Engineers as Problem-Solving Leaders: Embracing the Humanities,” IEEE Technology and Society Magazine, vol. 26, no. 4, pp. 29-35, Winter 2007.[4] P. G. Northouse, Leadership: Theory and Practice. Edition 8. Thousand Oaks, CA: SAGE, 2018.[5] S. L. Connaughton, F. L. Lawerence, and B. D. Reuben, “Leadership Development as
Figure 8: Zoomed in view for inflation layer Table 1: CFD Parameters Chord Length 100 mm Turbulence Model Spalart Allmaras Momentum Second Order Upwind Pressure-Velocity Coupling Simple Inlet Velocity 30 m/s Air Temperature 300 K Air Density 1.225 Kg/m3 Air Viscosity 1.7894x10-5 Kg/(m*s) Outlet gauge Pressure 0 Pa Wall
, vol. 29, p. 332-353, 2007.[6] J. Fransen, “How do engineering students and faculty use library resources?” in 120th ASEE Annual Conference & Exposition, June 23-26, 2013.[7] H. Empey, N. Black, “Marketing the academic library,” College & Undergraduate Libraries, vol. 12, no. 1-2, p. 19-33, 2005.[8] A. Thorpe, H. Bowman, “Promoting discovery: Creating an in-depth library marketing campaign,” Journal of Library Administration, vol. 53, no. 2-3, p. 100-121, 2013.[9] A. Davis, C. Rice, D. Spagnolo, J. Struck, S. Bull, “Exploring pop-up libraries in practice,” The Australian Library Journal, vol. 64, no. 2, p. 94-104, 2015.[10] J. Barnett, S. Bull, H. Cooper, “Pop-up library at the university of birmingham
interventionand similar intervention is being carried out for the second year. Further studies will account fordisparity of participant groups.AcknowledgmentsCaleb Sims helped with cataloging YouTube problems is appreciated. This material is based uponwork supported by the National Science Foundation under Grant No. DUE 1712186. Anyopinions, findings, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation. This workwas completed within the framework of University of Toledo IRB protocol 202214.Bibliography1. Internet World Stats. Internet Usage Statistics; The Internet Big Picture: World Internet Users and 2018 Population Stats. 2018
inproviding accessible examples to students to promote their awareness and improvement ofeffective learning strategies.References[1] E.A. Stephan, L. Whisler, and A.T. Stephan, “Work in Progress: Strategic, Translational Retention Initiatives to Promote Engineering Success,” in ASEE Annual Conference and Exposition 2018, Salt Lake City, Utah, USA, June 2018.[2] P. Treuer, and L. Whisler, “Entangled learning: An overview,” retrieved from http://www.EntangledLearning.org, 2015.[3] P. J. Cunningham, H. M. Matusovich, C. Venters, S. A. Williams, and S. Bhaduri, “Teaching Metacognition: Helping Students Own and Improve Their Learning,” American Society for Engineering Education Annual Conference and Exposition, Salt Lake
scale) in important outcomessuch as teamwork, communication, project management, and design skills.Figure 1: SEE Initiative ComponentsIn terms of the pull v s push components of the SEE Initiative, most of the concrete elementsincluded in the initiative speak primarily to the pull component. They are focused on bringingindustry representatives into the classroom or into other aspects of students’ academicexperience, either directly through guest speakers and panelists or indirectly through thedevelopment of relevant modules/problem sets that reference professional practice. The pushcomponent is more challenging to visualize because it focuses on a change in the departmentculture and relies primarily on students pursuing opportunities for
faculty onlineprofiles, are great sources for research interests, courses taught and awarded grants. Interviewing facultymembers is also a great way to learn more about faculty research and teaching needs while buildingfaculty-librarian relationships. Although course syllabi can provide a great snapshot of course informationand types of assignments and even reveal information-seeking behavior which faculty require for theirstudents, accessing course syllabi may need permission and assistance from the departments [1]. Large-scale surveys of faculty may be a great option as they can provide rich information on faculty’sperspectives. For example, the University of Iowa participated in the Ithaka S+R Faculty Survey in 2015and the survey results
courses in the Division of CEM.INTRODUCTION Construction Engineering constitutes a wide range of disciplinary strategies.The Division of Construction Engineering and Management (CEM) at PurdueUniversity has been “preparing undergraduate engineers to serve the constructionindustry as professional engineers and managers” since the late 1970’s withtheoretical and experiential learning objectives. In recent years, it has come to theattention of CEM that a gap exists between these objectives. It is not clear if it is a 1societal gap or industry demand that has created it but industry representatives andstudents alike have voiced their concern. The long-term initiative by CEM is to alignthese objectives
Engineering Education AnnualConference & Exposition, Honolulu, Hawaii, USA, June 24-27, 2007.[9] S. Zappe, R. Leicht, J. Messner, T. Litzinger, and H. Lee, “ ‘Flipping’ the classroom to explore active learning ina large undergraduate course,” in Proceedings of the 2009 American Society of Engineering Education AnnualConference & Exposition, Austin, TX, USA, June 14-17, 2009.[10] D. Bolliger, S. Supanakorn, and C. Boggs, “Impact of podcasting on student motivation in the online learningenvironment.” Computers & Education, vol. 55, 714-722, 2010.[11] P. Johanes and L. Lagerstrom, “Online Videos: What every instructor should know,” in Proceedings of the2016 American Society of Engineering Education Annual Conference & Exposition, New
and Teaching in Design,” Des. Issues, vol. 24, no. 1, pp. 36–40, Jan. 2008.[9] J. Gerring, “What Is a Case Study and What Is It Good for?,” Am. Polit. Sci. Rev., vol. 98, no. 02, pp. 341–354, May 2004.[10] K. A. Howard, R. M., & Randazzo, Routledge Handbook of Judicial Behavior. Political Science. Routledge, 2017.[11] W. Kunz and H. W. J. Rittel, “ISSUES AS ELEMENTS OF INFORMATION SYSTEMS,” 1970.[12] T. A. I. of Architects, “Integrated Project Delivery: A Guide California Council National,” 2007.[13] T. S. Guerra, Miguel Andres, “S.M.ASCE,” J. Eng., 2018.[14] L. S. Vygotskiĭ, “Mind in society: The development of higher psychological processes,” Cambridge, MA Harvard Univ. Press, p. 159, 1978.[15] N. I
-Regulation and Motivation: Historical Background, Methodological Developments, and Future Prospects,” Am. Educ. Res. J., vol. 45, no. 1, pp. 166–183, Mar. 2008.[5] B. J. Zimmerman and A. S. Paulsen, “Self-monitoring during collegiate studying: An invaluable tool for academic self-regulation,” New Dir. Teach. Learn., vol. 1995, no. 63, pp. 13–27, 1995.[6] B. Schmitz and B. S. Wiese, “New perspectives for the evaluation of training sessions in self-regulated learning: Time-series analyses of diary data,” Contemp. Educ. Psychol., vol. 31, no. 1, pp. 64–96, Jan. 2006.[7] R. Eynon, “The quantified self for learning: critical questions for education,” Learn. Media Technol., vol. 40, no. 4, pp. 407–411, Oct. 2015.[8] M. Swan, “The
the Humboldt Foundation in Germany. This award enabled him to spend seven months at the Fraunhofer Ernst Mach Institute in Freiburg, Germany working on advanced MMOD protection systems for satellites and developing preliminary designs for safe lunar habitats using in-situ c American Society for Engineering Education, 2019 Paper ID #24753 materials for protection against meteoroid impacts. This year he served on another NASA Independent V&V Committee to review the MMOD risk assessment process for NASA’s Constellation program. At Missouri S&T, Dr. Schonberg continues to teach a variety of
, and social justice in undergraduate engineering classrooms.Dr. Robin A. M. Hensel, West Virginia University Robin A. M. Hensel, Ed.D., is the Assistant Dean for Freshman Experience in the Benjamin M. Statler College of Engineering and Mineral Resources at West Virginia University. While her doctorate is in Curriculum and Instruction, focusing on higher education teaching of STEM fields, she also holds B.S. and M.A. degrees in Mathematics. Dr. Hensel has over seven years of experience working in engineering teams and in project management and administration as a Mathematician and Computer Systems Analyst for the U. S. Department of Energy as well as more than 25 years of experience teaching mathematics
inengineering.The RStudio integrated development environment was used to perform the statistical analysis [8]. All statistical tests were conductedwith an alpha=0.05. A standard t-test is used to compare means. For the odds ratio estimate, the Fisher’s Exact Test for Count Datafrom the R-“stats” package is used[8]. The cohen.d function from the EffSize package estimates the effect size for all t-tests[9]. Thisis a measure of the strength of the difference between means and we use d ≤ 0.2 for a small (S) effect, 0.2 < d ≤ 0.8 is considered amedium (M) effect, and d > 0.8 is a large effect [9]. The statistical power is also estimated using the “pwr” package in R using defaultvalues for all non-required parameters [10]. A comparison of means is