. References[1] M. Prelewicz, “Engineering Competency Model,” American Association of Engineering Societies, 2018-2003. [Online]. Available: http://www.aaes.org/model. [February 12, 2018][2] J.P. Gee, “Identity as a Lens for Research in Education,” Review of Research in Education, 25, pp. 99–125, 2000-2001.[3] B.D. Jones, M. C. Paretti, S.F. Hein, and T.W. Knott, “An Analysis of Motivational Constructs with First-Year Engineering Students: Relationships among Expectancies, Values, Achievement and Career Plans,” Journal of Engineering Education, 99(4), pp. 319– 335, October 2010.[4] R.M. Marra, B. Palmer, and T.A. Litzinger, “The Effects of a First-Year Engineering Design Course on Student Intellectual Development as Measured by the
. Hole, “Working between languages and cultures: Issues of representation, voice, and authority intensified,” Qualitative Inquiry, 13, 696-710, 2007.12 A. Squires, “Methodological challenges in cross-language qualitative research: A research review,” International Journal of Nursing Studies, 46, 277-287, 2009.13 B. Subedi, & J. Rhee, “Negotiating collaboration across differences,” Qualitative Inquiry, 14, 1070-1092, 2008.14 K. Rodham, F. Fox, & N. Doran, “Exploring analytical trustworthiness and the process of reaching consensus in interpretative phenomenological analysis: Lost in transcription,” International Journal of Social Research Methodology, 18(1), 59-71, 2015.15 A. Shordike, C
. Pamela, “Toward equity through participation in Modeling Instruction in introductory university physics,” Phys. Rev. Spec. Top. - Phys. Educ. Res., vol. 6, no. 1, 2010.[13] S. Wasserman and K. Faust, Social network analysis : methods and applications, vol. 24. 1994.[14] D. Z. Grunspan, B. L. Wiggins, and S. M. Goodreau, “Understanding classrooms through social network analysis: A primer for social network analysis in education research,” CBE Life Sci. Educ., vol. 13, no. 2, pp. 167–178, 2014.[15] B. B. Potts, “Book Review: Social Network Analysis,” Acta Sociolgica, vol. 37, no. 4, pp. 419–423, 2015.[16] Army, FM 3-24 MCWP 3-33.5 Insurgencies and Countering Insurgencies, 1st ed. Washington .D.C.: Department of the Army
an essential part of the testingprocess because the standard specimens ensure meaningful and reproducible results.1 Tohelp improve students’ critical thinking, hands-on experience, and potential researchinterest, an enhanced tensile testing laboratory project was developed that accounts forspecimen condition and variability.MET students at two campuses of XXXXX University participated in this enhancedpolymer tensile testing laboratory project. Campus A is a commuter campus with abalanced population mix of traditional and non-traditional students and typicalengineering technology class sizes of 10-20. Campus B is a large residential campuspopulated by traditional students, transfer students, and a handful of non-traditionalstudents. At Campus
only one single RF transmission. Fig. 1(a) shows thissimplified spectrum scenario where multiple signals are located at different frequency bands, anda narrowband filter can be used to distinguish these narrowband transmissions. However, in anadvanced communication system such as a cognitive radio network, multiple signals mightsignificantly overlap in the spectrum. Fig. 1(b) illustrates the scenario where two narrowbandtransmissions with similar but different RF parameters mixed together. At the communicationreceiver, the resulting spectrum is illustrated in Fig. 1(c). It is clear that a conventional spectrumanalysis is not capable of identifying that there are two signals mixed together here. 1500
would provide insight into what works in other countries and may be helpful tostrengthen STEM Education in the United States and worldwide.References[1] T. Kennedy and M. Odell, "Engaging students in STEM education," Science Education International, vol. 25, no. 3, pp. 246-258, 2014.[2] M. E. Sanders, "Stem, stem education, stemmania," 2008.[3] K. Fulton and T. Britton, "STEM Teachers in Professional Learning Communities: From Good Teachers to Great Teaching," National Commission on Teaching and America's Future, 2011.[4] A. Roberts, "STEM Is Here. Now What?," Technology and engineering Teacher, vol. 73, no. 1, pp. 22-27, 2013.[5] J. Hamari, D. J. Shernoff, E. Rowe, B. Coller, J. Asbell-Clarke, and T
Experience with DMPs and creating DMPs DCP Module Refinement Critical examination of RDM details Guest Speaker Reflections Potential application of speaker’s experience to student RDM Final Project Application of the DCP developed by the students to campus research faculty A Planning Document Establish roles and tasks; examination of DCP as applied to researcher; practice session B Interview Session Interview of researcher to gain knowledge for development of DCP C Combined Document Synthesis of individual material from interview into one document for refinement into DCP D
cuttingtools, tool life, cutting fluids and selection of tools and cutting parameters such as cutting speed,feed and depth of cut on the surface finish produced. By using different workpiece materials,they were able to see the effects of varying these parameters on the finished quality of the work.Machining was performed on different workpiece materials such as, Brass, acrylic, Aluminumand Copper with HSS tools and coated carbide tools, with and without cutting fluids and withvarying cutting parameters i.e. spindle speed, feed rate and depth of cut and also with sharp toolsand worn tools. Tool wear and surface finish were measured for each input and output parametercombination.Figure 1: Microscopic images of (a) New tool, (b) Tool wear w/o coolant, (c
flagshipUniversity Park campus and 18 regional undergraduate campuses. About 60% of PennState students opt for the “2+2 plan” by completing the first two years of their educationat a regional campus and then transition to the University Park campus for the last twoyears. One reason to focus on regional campus students is because half of the raciallyunderrepresented students in Engineering begin their Penn State career at a regionalcampus. This paper focuses on promising practices to expand and sustain summerbridge academic enhancement programs beyond the traditional model of a residentialprogram at a Research I university. This presentation will discuss (a) different modelsfor summer bridge programs, (b) strategies for sustaining summer bridge programs, (c
complexity: pretentious words, needless symbols, slash Informal writing: avoid contractions, get, or a lot Tonal error: Too many sentences begin with the subject: You need more sophisticated sentence openers to make better connections between your ideas. Form (Format, Grammar, Punctuation, Usage) Run‐on sentence: You cannot join two sentences with simply a comma—you need a period, semicolon, or a conjunction (and, but, or) Wrong word: affect↔effect, anxious↔eager, its↔it’s Grammar error: Punctuation error: Usage error: Format error: Appendix B: Key for the Comments on Diagnostic ParagraphOn your quiz, you will receive comments in the form of combinations of the following letters: A B C D a b c d e fEach letter refers to a specific
-based practice in stem education,” in 2014 ASEE Annual Conference & Exposition, (Indianapolis, Indiana), ASEE Conferences, June 2014. https://peer.asee.org/23306. [6] D. M. Riley, “Aiding and abeting: The bankruptcy of outcomes-based education as a change strategy,” in 2012 ASEE Annual Conference & Exposition, (San Antonio, Texas), ASEE Conferences, June 2012. https://peer.asee.org/20901. [7] A. D. de Figueiredo and A. P. Afonso, Context and Learning: A Philosophical Framework. Hershey, PA: IGI Global, 2006. [8] I. Scheffler, Reason and Teaching. London: Routledge and Kegan Paul, 1973. [9] G. Domenico and M. B. Burkins, Holistic engineering education: beyond technology. New York: Springer, 2010.[10] H. Morgan and S
-Machine Systems, vol. 44, no. 1, pp. 41-54, 2014.6. P. Yanik, J. Manganelli, J. Merino, A. Threatt, J. Brooks, K. Green, and I. Walker, “Use of Kinect Depth Data and Growing Neural Gas for Gesture Based Robot Control,” in Proc. of the 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth 2012), La Jolla, CA, 2012, pp. 283-290.7. B. Graf, U. Reiser, M. Hagele, K. Mauz and P. Klein, “Robotic Home Assistant Care-O-bot®3 – Product Vision and Innovation Platform,” Proc. of the 2009 IEEE Workshop on Advanced Robotics and Its Social Impact (ARSO), pp. 139-144, 2009.8. A. Jain and C.C. Kemp, “EL-E: An Assistive Mobile Manipulator that Autonomously Fetches Objects from Flat
equivalentto a B+ as compared to a B of their peers” 6. Medsker et al. conducted an experimental study onthe impact of the S-STEM program on student outcomes 7. Based on relevant retention andgraduation data collected in their study, they found that unmet financial needs play a significantrole in student retention and when mitigated, led to enhanced academic success 7.Our project was funded in 2015 by the NSF S-STEM program. The project has two goals. Thefirst goal is to provide S-STEM scholarship support for academically-talented, financially-needyundergraduate students in two engineering departments at our university. These two engineeringdepartments include the Department of Mechanical & Aerospace Engineering (MAE) and theDepartment of Civil
fortwo-column systems are il-lustrated in Figure 1.[4] Figure 1 illustrates two dif-ferent pressure swing cycleswith a two-column system.Figure 1(b) does not illustratea direct interaction betweenthe two columns, although itis worth noting that multiple Figure 1:Example Figure 1. Example PSA PSA cycles: cycles: (a) backfill (a) backfill cycle, cycle, (b) (b)swing
Arkansas. She received her Ph.D, M.S., and B.S. in civil engineering from Texas A&M University. Her research interests include geotechnical engineering, and the use of 3d printed models to aid learning in K-12 and college classrooms.Dr. Jyotishka Datta, University of Arkansas Jyotishka Datta is an Assistant Professor of Statistics at the University of Arkansas at Fayetteville since August 2016. He was an NSF postdoctoral fellow at Duke University and Statistical and Applied Math- ematical Sciences Institute (SAMSI) working with Dr. David B. Dunson (Statistical Science) and Dr. Sandeep S. Dave (School of Medicine). He received my Ph.D. in Statistics from Purdue University in 2014 under the guidance of Prof
The first ePortfolio was implemented in Fall 2015. The associated activities wererequired in the course and were part of the grading criteria:a. 1st test (including HW) 20%b. 2nd test (including HW) 20%c. 3rd test (including HW) 20%d. Course project 30%e. Peer review assignment 5%f. ePortfolio 5% The ePortfolio activities consisted in 4 main activities: 1) Setup google drive folders, 2)Upload artifacts to folders as they were produced, 3) Develop a showcase ePortfolio with links toarchived artifacts, and 4) Complete ePortfolio reflective assignment. These general activitieswere kept unchanged throughout the whole implementation in the 2 years period, but their sub-activities were adjusted
testing to illustrate our iterative evidence-baseddevelopment process and offer results of an initial pilot study from across one semester ofstudent use. The perspective for this research is user-centered design and the theoreticalframework is chemistry problem solving as situated engineering practice.Design Challenge as Laboratory WorkUsing ABET’s Student Outcomes (criteria b), each Design Challenge involves a three-phaseformat and addresses one of the Grand Challenges that relate to general chemistry topics (Figure1). The Challenges are based upon the model-eliciting activities (MEA) format and emphasizegraphical representation and experimental design (Table 1). DCs are grounded in the principlesof MEA for engineering education [7]. Students
assess designthinking, 102 interviews with girls were videotaped across elementary and middle schoolprograms in two cities. The interviews called on youth to give a guided, narrative description oftheir work on a design project accomplished in their engineering-focused, girls-only afterschoolprogram. Interviews were augmented with programmatic observations, so the analysts couldtriangulate evidence from interviews with observations of girls engaged in the projects. Incollaboration with the curriculum development team, a rubric was developed to measure theextent to which girls communicated effective engineering design, specifically: a) understandingof the design challenge, b) evaluation of design strengths and weaknesses, and c) evidence
a design description,Figure 1 shows the FBS ontology. The goal of designing is to transform a set of functions, drivenby the client requirements (R), into a set of design descriptions (D). The function (F) of adesigned object is defined as its intended purpose or teleology; the behavior (B) of that object iseither derived (Bs) or expected (Be) from the structure, where structure (S) represents thecomponents of an object and their relationships.Designers decide which behaviors (B) are significant and needed to assess the designs theyproduce. So, B can be subdivided into two sub-categories: the behaviors the designer expects thedesign to have (Be) and those that are measured from the design (S) itself and called behaviorfrom structure (Bs
student’s achievement of ABET student outcomes b-d, f-h, j-k [6], and a program specificoutcome, l, described as “an ability to demonstrate initiative and perform in leadership roles.”Laboratory ExperienceA description of the hands-on lab exercises built around use of the Arduino UNO and designedfor teams of two students to build skill with foundational technical concepts is given below.Lab 1: Test and Measurement Equipment (T&ME) and the 7-Segment Display (2 Weeks)This lab introduces students to fundamental circuit concepts including Ohm’s Law, voltagedividers, and LED biasing. Practical lab experience with resistor color codes, Arduino digitalI/O, and the use of T&ME such as digital multimeters (DMMs), function generators
collective).The faculty portfolio includes:a) Course card: Course cards are meso-curricular documents that allows the program to connectthe macro-curriculum (curricular matrix) with the micro-curriculum (course syllabi). The coursecard is the mechanism we have developed in order to maintain consistency between course goals(alignment between course and student outcomes) and terminal learning objectives, as well asteaching and learning strategies that will be used to create course syllabi [7].b) The syllabus of the proposed course is adjusted after a collaborative review carried out by thefaculty members within the curricular area. The course planner makes up part of the syllabusand includes, for each session: the objectives for the session, the
levels by providing incentives and effective evaluations,” Nature, vol. 523, p. 282+, Jan. 2015.[3] M. Christie and E. de Graaff, “The philosophical and pedagogical underpinnings of Active Learning in Engineering Education,” Eur. J. Eng. Educ., vol. 42, no. 1, pp. 5–16, 2017.[4] T. J. Kinoshita, D. B. Knight, and B. Gibbes, “The positive influence of active learning in a lecture hall: an analysis of normalised gain scores in introductory environmental engineering,” Innov. Educ. Teach. Int., vol. 54, no. 3, pp. 275–284, May 2017.[5] L. R. Lattuca, I. Bergom, and D. B. Knight, “Professional development, departmental contexts, and use of instructional strategies,” J. Eng. Educ., vol. 103, no. 4, pp. 549–572
principles, SOLIDWORKS canalso take the place of physical equipment to create an opportunity for student discovery. In thisexample, students in MC364 used a SOLIDWORKS model (Figure 4(a)) to discover theprinciple of superposition for stresses due to combined loading. To assist in student visualizationof the problem, students were provided with a 3D printed offset link (Figure 4(b)) that wasprinted using the SOLIDWORKS model. In addition to enhancing student engagement, thisprovided an opportunity to briefly discuss current 3D printing technology. (a) (b)Figure 4 Offset link for MC364 combined loads exercise: (a) SOLIDWORKS model and (b) 3d printed component
program at MSU have been reviewed and revised to the following: 1. Fundamentals / Applications: Demonstrate an ability to select and apply a knowledge of mathematics, science, engineering, and technological principles, applied procedures, or methodologies, to produce practical, effective and innovative solutions to problems. (a, b, c, f) 2. Design: Demonstrate an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors (a, b, d, e, f, k) 3. Communication: Demonstrate appropriate written, oral, computer, and technical skills to effectively communicate with
transfer program at a Hispanic-Servingcommunity college in California developed effective partnerships with high schools, otherinstitutions of higher education, and industry partners in order to create opportunities forunderrepresented community college students to excel in engineering. Developed through thesepartnerships are programs for high school students, current community college students, andcommunity college engineering faculty. Programs for high school students include a) theSummer Engineering Institute – a two-week residential summer camp for sophomore and juniorhigh school students, and b) the STEM Institute – a three-week program for high schoolfreshmen to explore STEM fields. Academic and support programs for college students
] Dues, J., & Le, N., “High Cycle Fatigue Tester,” 2006 ASEE Annual Conference & Exposition, Chicago, Illinois, June 2006[8] Sepahpour, B., “A Practical Educational Fatigue Testing Machine,” 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana, June 2014[9] Fleming, D. C., “A Fatigue Life Experiment for Aerospace Engineering Undergraduates,” 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana, June 2016[10] J. Zecher, “Teaching Finite Element Analysis in a MET Program”, ASEE 2002 Annual Conference, Montreal, Canada, June 2002[11] W. Howard, T.J. Labus, and V.C. Prantil, “Combining Computer Analysis And Physical Testing In A Finite Element Analysis Course”, ASEE 2004 Annual Conference
and engineering (CLOs 1-2, 5-7)(b) Ability to design and conduct experiments, as well as to analyze and interpret data (CLOs 2- 5)(c) Ability to design a system, component or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturing, and sustainability (CLOs 3-5)(e) Ability to identify, formulate and solve engineering problems (CLOs 1-7)(g) Ability to communicate effectively (CLO 5)(h) Broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context (CLO 5)(k) Ability to use techniques, skills and modern engineering tools necessary for engineering practice (CLOs 1-7
. Scholarsh. Teach. Learn., vol. 4, no. 1, 2010.[12] H. J. Walberg, R. A. Paschal, and T. Weinstein, “Homework’ s powerful effects on learning,” Educ. Leadersh., no. april, pp. 76–79, 1985.[13] E. A. Howard, “Purdue e-Pubs How do Millennial Engineering and Technology Students Experience Learning Through Traditional Teaching Methods Employed in the University Setting?,” 2011.[14] D. B. Smithrud and A. R. Pinhas, “Pencil-Paper Learning Should Be Combined with Online Homework Software,” J. Chem. Educ., vol. 92, no. 12, pp. 1965–1970, 2015.[15] E. Hoover, “Spotlight on Retention,” The Chronicle of Higher Education, 09-Mar-2015.[16] D. Glenn, “In Student Retention, Attitude Seems to Matter Most,” The Chronicle of
, June), Entrepreneurially Minded Learning:Incorporating Stakeholders, Discovery, Opportunity Identification, and Value Creation intoProblem-Based Learning Modules with Examples and Assessment Specific to Fluid Mechanics,Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana.10.18260/p.26724[4] Bell-Huff, C., & Morano, H. L. (2017, June), Using Simulation Experiences, RealCustomers, and Outcome Driven Innovation to Foster Empathy and an Entrepreneurial Mindsetin a Sophomore Engineering Design Studio, Paper presented at 2017 ASEE Annual Conference& Exposition, Columbus, Ohio. https://peer.asee.org/27425[5] Zhu, H., & Mertz, B. E. (2017, June), Work In Progress: Incorporation of the
House Webster's dictionary. New York, NY:13. Bush, J. L. (2013). The Persistence of Black women in Engineering: A Phenomenological14. Frillman, S. A. (2011). A hermeneutic phenomenological study of the experiences of female African American undergraduate engineering students at a predominantly white and an historically black institution. ProQuest LLC.15. McGee, E. O. (2009). Race, identity, and resilience: Black college students negotiating success in mathematics and engineering (Doctoral Dissertation). ProQuest Dissertations and Theses database. (UMI No. 3364621).16. McGee, E. O., & Martin, D. B. (2011). You would not believe what I have to go through to prove my intellectual value! Stereotype management among academically