] Cabrera, A.F., Colbeck, C.L. & Terenzini, P.T. Developing Performance Indicators for Assessing ClassroomTeaching Practices and Student Learning. Research in Higher Education 42, 327–352 (2001).[4] Goldberg, J. R., "Senior design capstone courses and ABET outcomes," in IEEE Engineering in Medicine andBiology Magazine, vol. 25, no. 4, pp. 84-86, July-Aug. 2006.[5] Turner S., Tung, K. and Cooper C., “Transitioning to the New ABET Student Outcomes: ArchitectureDevelopment for a System Engineering Degree Program” 2018 ASEE Annual Conference and Exposition, Salt LakeCity, Utah.[6] Angelo, Thomas A. and Cross, K. Patricia, (1993) “Classroom Assessment Techniques, A Handbook for CollegeTeachers” Second Edition, Jossey-Bass Inc, San Francisco
Prototyping Lecture 9 Ethics Lecture 10 Intellectual Property and Patents Lecture 11 Project Debriefthe work status. The weekly status report was also utilized to evaluate individual student’scontributions and to provide written feedback to student(s). Progress of the project wasconstantly monitored using the reporting tools presented below. ● Gantt chart: Each team was required to submit a Gantt chart for the project. The purpose of the document is to help the team lead to have an advance plan for the project execution and keep track of the work progress. ● Weekly status report: The teams are asked to submit the weekly status reports using the provided template (see
facets of ethical constructs and professional identity.References[1] W. Helmer, “Is all diversity good?” in ASEE Prism, vol. 23, no. 1, p. 10, 2013.[2] S. Scales, “Teaching civility in the age of Jerry Springer.” Teaching Ethics, vol. 10, no. 3, pp. 1-20, 2010.[3] “Criteria for Accreditation of Engineering Technology Programs” [online], Available: https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting- engineering-technology-programs-2019-2020/#GC5[4] ”Diversity and Inclusion,” [online], https://www.abet.org/about-abet/governance/board-of- directors/policies/[5] J. Maxwell, Ethics 101: What every leader needs to know. New York: Warner Books, 2005.[6] Maples v Martin, 858 F2d 1546 (11th Cir
, Fall 2017.[9] C. E. Osgood, G. J. Suci, and P. H. Tannenbaum, The measurement of meaning (no. 47). University of Illinois press, 1957.[10] B. K. Sato et al., "What’s in a Prerequisite? A Mixed-Methods Approach to Identifying the Impact of a Prerequisite Course," CBE—Life Sciences Education, vol. 16, no. 1, p. ar16, 2017.[11] R. Lieu, A. Gutierrez, and J. F. Shaffer, "Student Perceived Difficulties in Learning Organ Systems in an Undergraduate Human Anatomy Course," HAPS Educator, vol. 22, no. 1, pp. 84-92, 2018.[12] J. S. Eccles, "Expectancies, values, and academic behaviors," 1983.
Practice - J PROF ISSUE ENGEDUC PRACT. 131. 10.1061/(ASCE)1052-3928(2005)131:4(218).[4] Steif, Paul S. and Anna Dollár, “A New Approach to Teaching and Learning Statics.” (2003).[5] Hibbeler, R C. Engineering Mechanics. New York: Macmillan, 1989. Print.[6] C. Marshall “Montessori education: a review of the evidence base,” NPJ Science of Learning,vol. 2, no. 11, 2017. Available: https://doi.org/10.1038/s41539-017-0012-7 [Accessed: April 10,2020]
://www.aiche.org/ccps/chemical-accidents-news 2. “Criteria for accrediting engineering programs, 2016 – 2017,” Accreditation Board for Engineering and Technology, Baltimore, MD, USA, 2016. Accessed: Jun. 2019. [Online]. Available: http://www.abet.org/accreditation/accreditation-criteria/criteria-for- accrediting-engineering-programs-2016-2017/# 3. E. Biddle and S. Afanuh. “NIOSH Workplace Design Solutions: supporting Prevention through Design (PtD) using business value concepts,” U.S. Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Cincinnati, OH, USA, Rep. 2015-198, 2015. 4. D. Crowl and J. Louvar, "Concepts to Prevent Fires
, and conclusions or recommendations expressedin this material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References[1] V. P. Dennen and K. J. Burner, "The cognitive apprenticeship model in educational practice," Handbook of research on educational communications and technology, vol. 3, pp. 425-439, 2008.[2] M. Borrego, "Conceptual difficulties experienced by trained engineers learning educational research methods," Journal of Engineering Education, vol. 96, pp. 91-102, 2007.[3] C. J. Finelli, S. R. Daly, and K. M. Richardson, "Bridging the research‐to‐practice gap: Designing an institutional change plan using local evidence," Journal of Engineering
benefitthe marginalized or underserved from careers in NGOs or government agencies may result inless pay than careers in the corporate sector. A strong professionally connected socialresponsibility attitude can motivate towards action; personal willingness connects withprofessional abilities to recognize the power and opportunity s/he has to make a positive change.Figure 1: Canney and Bielefeldt’s Professional Social Responsibility Development Model[7, pg. 418]In this research, our initial hypothesis was that positive changes in students’ desires to work forcompanies or firms with good reputations for social responsibility would be at least partiallyexplained by students coming to recognize CSR as a sociotechnical activity. CSR is an
include questions from the topics covered from the textbook as well asmaterial covered for the design project(s).Table 1. Approximate Teaching ScheduleWeek No and Basic Title Sections1 Introduction, Safety tapes Lab: Projects2 Engineering Design Chp. 1.1-1.4 Safety Exam, Lab: Projects3 Engineering Design Chp. 1.5-end Lab: Projects4 Review and Catch-up Chp. 1 and Projects Exam-1 (100 min, Feb. 16)5 The Product Development Process Chp. 2.1-2.4 Lab: Projects6 The Product Development Process Chp. 2.5-end Lab: Projects7 Problem Def. and Need Identification Chp. 3.1-end Lab
University of Illinois at Chicago, a publicuniversity in an urban setting, and it is taught as a design studio which is both project- and team-based. It is a required class for Mechanical, Civil, and Industrial engineering students and it isopen to other engineering majors as an elective. There are typically forty students per classsection, and in recent years four to six sections of the class are offered in each term, taught bytwo to four faculty members. The total enrollment has been growing and is close to 400 for thecurrent academic year. Despite being offered as a first-year course, ME 250’s enrollmenttypically includes students from all years. Students are placed in teams of four to complete twoor three projects, including the final project
Paper ID #29602Design thinking concepts in Undergraduate Engineering Capstone ProjectsMr. Michael A Phelan, Department of Bioengineering, Temple University, Philadelphia, PA I am a PhD student in Bioengineering at Temple University and a predoctoral fellow at the National Eye Institute supported through the Intramural Research Program of the NIH.Mr. Aratrik GuhaMr. Brandon K Harrison, Temple UniversityGeorge Moukarzel, Temple UniversityMs. Abigail A. TettehDr. Yah-el Har-el, Temple University Assistant Professor of Instruction, Department of BioengineeringDr. Ruth Ochia P.E., Temple University Ruth S. Ochia received her B.S
(eCURe) funded by the National Science Foundation Advanced TechnologicalEducation award number 1601813. M.H., E.B. and I.B. were supported by BUILD PODER,funded by the National Institute of General Medical Sciences of the National Institutes of Healthunder the award number RL5GM118975. M.G. gratefully acknowledges the support receivedfrom the National Science Foundation through grant number CMMI-1538861 and United StatesFood and Drug Administration through grant U01FD005535.References[1] M. Estrada, M. Burnett, A.G. Campbell, P.B. Campbell, W.F. Denetclaw, C.G. Gutiérrez, S. Hurtado, G.H. John, J. Matsui, R. McGee: Improving underrepresented minority student persistence in STEM. CBE—Life Sciences Education, vol 3, pp 15, 2016.[2] E. E
includes a prediction of an even greater shortage: To grow our nation’s science, technology, engineering, and mathematics (STEM) capacity and ensure that Americans nationwide can participate in a science and engineering (S& E) intensive economy, the United States must foster its Skilled Technical Workforce (STW) – individuals who use S & E skills in their jobs but do not have a bachelor’s degree. Rapid changes in the nature of work, education, technology, workforce demographics, and international competition have led to the National Science Board (NSB, Board) to conclude that our competiveness, security, and research enterprise require this critical, but often overlooked segment of our STEM-capable workforce. Adding to
data that could be of use wouldbe to test the various implementations with a different course instructor, and look for similarperformance differences. In conclusion, when some of principle problems associated withteaching and learning programming are analyzed, modified lecture with SI seems to offer somepositive initial results.References[1] D. Sleeman, “The challenges of teaching computer programming,” Communications of theACM, Vol. 29, No. 9, 1986.[2] S. Sentance and A. Csizmadia, “Computing in the curriculum: Challenges and strategies froma teacher’s perspective,” Educ. Inf. Technol., Vol. 22, pp.469-495, 2017.[3] M. Ben-Ari, “Constructivism in computer science education,” Proceedings of the twenty-ninth SIGCSE technical symposium on
also technology transfer and universityresearch administrators.References[1] H.A. Howard, D. Zwicky, M. Phillips, “Academic Libraries Support Cross-Disciplinary Innovation and Entrepreneurship,” Libraries Faculty and Staff Scholarship and Research, Paper 206, 2018. [Online]. Available: https://docs.lib.purdue.edu/lib_fsdocs/206 [Accessed February 15 ,2019].[2] J.P. Shipman and B.A. Ulmer, ed. Information and Innovation. A Natural Combination for Health Sciences Libraries. Lanham, Boulder, New York: Rowman & Littlefield, 2017.[3] C. Elliott, J. Dewland, J.R. Martin, S. Kramer, and J.J. Jackson Sr., “Collaborate and Innovate: The impact of academic librarians on the commercialization of university
classrooms,” International Journal of Science Education, vol. 21, no. 6, pp. 687–698, Jul. 1999, doi: 10.1080/095006999290516.[2] S. L. Westbrook and E. A. Marek, “A cross-age study of student understanding of the concept of diffusion,” Journal of Research in Science Teaching, vol. 28, no. 8, pp. 649–660, 1991, doi: 10.1002/tea.3660280803.[3] E. A. Marek, C. C. Cowan, and A. M. L. Cavallo, “Students’ Misconceptions about Diffusion: How Can They Be Eliminated?,” The American Biology Teacher, vol. 56, no. 2, pp. 74–77, 1994, doi: 10.2307/4449757.[4] U. Wilensky and M. Resnick, “Thinking in Levels: A Dynamic Systems Approach to Making Sense of the World,” Journal of Science Education and Technology, vol. 8, no. 1, pp. 3–19, Mar
] Rattan, A., Good, C., & Dweck, C. S. (2012). “It's ok — Not everyone can be good at math”: Instructors with an entity theorycomfort (and demotivate) students. Journal of Experimental Social Psychology, 48(3), 731–737. doi:10.1016/j.jesp.2011.12.012[2] “Minority Serving Institutions: Americas’ Underutilized Resource for Strengthening the STEM Workforce,” The NationalAcademies Press, Washington DC (2019). DOI: https://doi.org/10.17226/25257[3] Yosso, T. J. (2005). Whose culture has capital? A critical race theory discussion of community cultural wealth. Race ethnicityand education, 8(1), 69-91.[4] Smith, J. M., & Lucena, J. C. (2016). Invisible innovators: how low-income, first-generation students use their funds ofknowledge to belong in
on pedagogicalmethods, or seeing methods used by other instructors. SEEFs shared common motivations ofjoining a career involving instruction motivated by experiences during student teaching roles,and a desire to improve teaching practices. In addition, the SEEF community referred to Barkleyet al.’s handbook [29] on collaborative learning techniques provided a wealth of teachingmethods, along with Godsell’s sourcebook [30] which provided perspective on differentmethods, their implementation and evaluation, among many other sources. However common toall the SEEFs was interpreting the application of these methods to fit their discipline. Forexample, in Computer Science the jigsaw method was used to explore the ethics of human-computer
external evaluator collects evaluation data on each cohort and each component of thetraineeship according to our logic model-based evaluation plan. At the time of paper submissionwe do not yet have results of the first year’s evaluation.AcknowledgmentThis material is based upon work supported by the National Science Foundation under Grant No.DGE-1828942.[1] E. Golde and G. Walker, Eds., Envisioning the Future of Doctoral Education: Preparing Stewards of the Discipline. San Francisco: Jossey-Bass, 2006.[2] C. G. P. Berdanier, A. Talley, S. E. Branch, B. Ahn, and M. F. Cox, "A strategic blueprint for the alignment of doctoral competencies with disciplinary expectations," International Journal of Engineering Education, vol. 32
lack of participants understanding other points of view and a lack ofconnectedness with other participants. In prior years, this lack of connection led to studentsstruggling with at least two components of the engineering design process: 1. students werereluctant to collaborate with their peers, as they were often “stuck” on using their own ideas and2. students had difficulty defining the purpose for their designs, or in other words, difficultyexplaining the problem(s) they were trying to solve [13]. These findings were a springboard forconsidering how to effectively integrate empathy and engineering as the thread which weaves theprogram together. Program designers intentionally wove empathy connections with people’sreal-life stories into the
Paper ID #29421Engaging High-School Students in Building Prefabrication (ResourceExchange)Luciana Debs, Purdue University Programs Luciana Debs, is an Assistant Professor of Construction Management in the School Construction Manage- ment Technology at Purdue University. She received her PhD from Purdue University Main Campus. Her previous degrees include a MS from the Technical Research Institute of Sao Paulo (IPT-SP), and BArch from the University of S˜ao Paulo (USP), in Sao Paulo, Brazil. Prior to her current position she worked in design coordination in construction and real estate development companies in Brazil. Her
: Generalizability of the methodology is one of the most important extensions offuture work. Integration of a custom-built sentiment classifier and an automatic ontology buildingfunctionality potentially through a combination of ontology learning techniques will be sought.References[1]. George A. Miller. 1995. WordNet: a lexical database for English. Commun. ACM 38, 11 (November 1995), 39– 41. DOI:https://doi.org/10.1145/219717.219748[2]. M. Hu and B. Liu, "Mining opinion features in customer reviews," in AAAI, 2004, pp. 755-760.[3]. N. Gupta, S. Chandra, Product Feature Discovery and Ranking for Sentiment Analysis from Online Reviews, Journal of Systems Science and Systems Engineering, pp 542-55, 2013.
Technology at Farmingdale YEONG S. RYU graduated from Columbia University with a Ph.D. and Master of Philosophy in Mechan- ical Engineering in 1994. He has served as an associate professor of Mechanical Engineering Technology at Farmingdale State College (SUNY) since 2006. In addition, he has conducted various research projects at Xerox Corporation (1994-1995), Hyundai Motor Corporation (1995-1997), and New Jersey Institute of Technology (2001-2003). He has been teaching and conducting research in a broad range of areas of system identification and control of nonlinear mechatronic systems and vibrations in structures requir- ing precision pointing to eliminate the detrimental effects of such diverse disturbance sources
Educational Research Association and American Evaluation Association, in addition to ASEE. Dr. Brawner is also an Exten- sion Services Consultant for the National Center for Women in Information Technology (NCWIT) and, in that role, advises computer science and engineering departments on diversifying their undergraduate student population. She remains an active researcher, including studying academic policies, gender and ethnicity issues, transfers, and matriculation models with MIDFIELD as well as student veterans in engi- neering. Her evaluation work includes evaluating teamwork models, broadening participation initiatives, and S-STEM and LSAMP programs.Mr. Behzad Beigpourian, Purdue University at West Lafayette
essentialcomponent of the student outcomes that must be assessed and evaluate and result be used as aninput for continuous improvement of engineering programs [1]. In most undergraduate engineeringcourses, students are assigned to research or design projects. These typically include the capstonedesign course(s) and some other upper division courses in the program. In large classes, studentsare either encouraged or required to complete projects in groups consisting of several teammembers.Formation of design teams and assigning grades to individual team member is a challenging taskfor the instructor. Some instructors have had students take personality tests to help place studentsinto balanced groups [2]. In one study the design formation methodologies were