of school enterprise cooperators,” Research on higher engineering education, no.4, pp.101-106, 2019.[6] S. R. Brunhaver, R. F. Korte, S. R. Barley and S. D. Sheppard, Bridging the gaps between engineering education and practice, Chicago: Chicago University Press, pp. 129-165, 2018.[7] V. Domal and J. Trevelyan. “An engineer's typical day: Lessons learned and implications for engineering education,” In 20th Annual Conference for the Australasian Association for Engineering Education, Adelaide, Australia,2009.[8] D. Vinck, “Engineering practices,” Revue d'anthropologie des connaissances,vol. 8, no.2, pp.a-s, 2014.[9] D. Jonassen, J. Strobel and C. B. Lee, “Everyday Problem Solving in Engineering: Lessons for
weekly and stored in Canvas Studio that could be streamed to thestudents on demand. The students could either view these lectures during the class time in thecourse schedule or at some other time workable for them in the same week. Offering suchflexibility could avoid the potential conflicts between the original class schedule and students’altered schedules during the public health emergency period. The video lectures were preparedusing a versatile note-taking app S Note that supports integration of multimedia files. The appruns on an Android tablet. The lectures presented on the tablet were recorded by a screenrecording app x-Recorder in the mp4 format that can be streamed online. Examination scores inthe on-demand course were compared with
opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author(s) and do not necessarily reflect the views of the National Science Foundation.References[1] M. K. Eagan, E. B. Stolzenberg, H. B. Zimmerman, M. C. Aragon, H. Whang Sayson, and C. Rios-Aguilar, “The American freshman: National norms Fall 2016,” University of California, Los Angeles, CA, U.S., 2017.[2] A. L. Green and D. L. Rabine, “What do we really know about ADHD in college students?” Neurotherapeutics, vol. 9, pp. 559-568, 2012, doi:10.1007/s13311-012-0127-8.[3] G. J. DuPaul, L. L. Weyandt, S. M. O’Dell, and M. Varejao, “College students with ADHD: Current status and future directions,” Journal of Attention
goal of thiswork is to visualize and make meaning of CAIR-related assessment data. Our display design isinspired by concepts from the domain of human factors engineering. A low-fidelity conceptualdesign and walk-through of the display are provided and key scenarios and tasks the instructorcan achieve via using the display are explored. The display can inform the instructor on both thequality of the marking done by the assessor(s) and common problem-solving errors committedby the students across a problem, test, and so on.IntroductionMeeting the pedagogical goals of Constructive Alignment, Formative and outcomes-basedAssessment are deemed significant for learning [1]–[3]. Constructive Alignment promotes asocial negotiation and mapping between
asked to reflect on their experiences using the followingquestion:How often have you been in courses where some educational technology tools, especiallymobile applications, have been used? Tell us something about your experience. a. Please state the name of the application(s) or other technology tools (e.g., Clicker, CATME, Socrative, Any quiz software, etc.). b. What you liked about that application(s) and why? c. What you didn’t like and why? d. Were those applications academically relevant? If yes, why, if no, why not?Data AnalysisThe study focuses on exploring the students’ perceptions of using educational technology toolsin postsecondary STEM classrooms. To inform our study, we employed
, quizzes (fixed-choice questions from the original workbook), and the software should be madeavailable to students on the university LMS.References[1] I. M. Smith, Spatial ability: its educational and social significance. San Diego, Calif.: R.R. Knapp, 1964.[2] D. L. Shea, D. Lubinski, and C. P. Benbow, “Importance of assessing spatial ability in intellectually talented young adolescents: A 20-year longitudinal study,” Journal of Educational Psychology, vol. 93, no. 3, pp. 604–614, 2001.[3] M. Kozhevnikov, M. A. Motes, and M. Hegarty, “Spatial Visualization in Physics Problem Solving,” Cognitive Science, vol. 31, no. 4, pp. 549–579, 2007, doi: https://doi.org/10.1080/15326900701399897.[4] S. Y. Yoon and E. L. Mann, “Exploring
accepted responses forseveral weeks.Results and DiscussionImpacts of the AIChE Education Division’s VCP program on the delivery of chemicalengineering courses during the COVID-19 pandemic were wide-ranging. After a web-basedinterest form was circulated to attendees and other members of the AIChE community,respondents answered whether they would like to participate in a VCP, to identify course(s) theywere teaching, and to indicate their willingness and ability to lead/moderate a VCP. Within oneweek, 88 faculty members filled out the form, and the communities began to materialize. Thetotal number of interested participants continued to grow through the semester and into thefollowing semester. From March 2020 to December 2020, 191 participants from
passage throughan atmospheric pressure argon plasma, operated at 1 kW or less power. Specifically, irregularlyshaped particles of gamma-alumina with an average diameter of 11 mu m were converted to smaller(ca. 4 mu m) spherical particles primarily consisting of delta- and alpha- (corundum) phases. Alsonotable was the finding that modifications of the particles, such as changes in surface area, correlateto applied plasma energy. The plasma torch was operated with an argon flow rate of 5 slpm, powerof between 400 and 1000 W, and average particle residence time in the plasma of 0.1 s. IntroductionThere are many methods for producing nanoparticles including, lame reactors, pyrolysis reactors,evaporation and
. Age ID Gender Role/Length of Experience/Training Site Range A1 50’s Female Library Media Specialist/17 years/Library Science Site 1 50s Female Engineering Teacher/12 years/Electronics, System Site 1 E1 Engineering, Education 30s Male Math, Engineering, CS Teacher/13 years/Math, Site 1 E2 Teaching, CS 40’s Male Math Teacher/3 years/Linguistic, English and Site 1 E3 Math 30s Female Director of Workforce Development and Social Site 2 A2 Enterprise/11 years/Visual
material is based upon work supported by the National ScienceFoundation under Grant No. DUE 1712186. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarily reflectthe views of the National Science Foundation. This work was completed within the framework ofUniversity of Toledo IRB protocol 202214.References[1] World Economic Forum, "Figure 10: Change in demand for core work-related skills, 2015- 2020, all industries; Chapter 1: The Future of Jobs and Skills;," in "The Future of Jobs: employment, Skills and Work force Strategy for the Fourth Industrial Revolution," January, 2016 2016. Accessed: January, 2019. [Online
) isadministered with a single 11”x 14” piece of paper. First, participants were instructed to “Draw apicture of an engineer(s) engaging in their daily work. Include a speech bubble that tells aboutwhat they are doing.” Next, participants were instructed to provide answers to the followingprompts: (1) Describe what your engineer(s) is/are doing, (2) Based on the work depicted in yourdrawing, explain how your engineer(s) is/are using Science, and (3) Based on the work depictedin your drawing, explain how your engineer(s) is/are using Mathematics.Rubric DevelopmentThe DEAMS-R rubric was developed by two science education researchers and one mathematicseducation researcher in consultation with an engineering researcher. The development of therubric was
learning. Entrepreneurial Indicator Item(s) used Level of Proficiency Mindset for assessment “Parameter” Well Above Proficient Proficient Below Proficient Curiosity Exploring Porosity The student is able to The student is able The student is alternative calculations correctly calculate the to correctly able to correctly scenarios porosities of fabric calculate the calculate the materials greater than porosities of fabric porosities
-975). International Society of the Learning Sciences, June2010.Corcoran, T.B., F.A. Mosher and A. Rogat, A. (2009). Learning progressions in science: Anevidence-based approach to reform, CPRE Research Report# RR-63. New York: Consortium forPolicy Research; 2009 May.Foster, C., Wigner, A., Lande, M., & Jordan, S., & Lande, M. (2018). Learning from parallelpathways of makers to broaden pathways to engineering. International Journal of STEMEducation. 5(1), 6.Hatano, G. and K. Inagaki, Two courses of expertise. In H. Stevenson, H. Azuma, & K. Hakuta(Eds). Child development and education in Japan (pp. 262-272), NY: Freeman, 1986.Jordan, S. & Lande, M. “Additive innovation: Radical collaboration in design thinking andmaking
benefits ofinterventions. It is no surprise that a supportive learning environment would bring about student successand that historically underrepresented groups experience additional need for this support.Moreover, diversifying the gender and ethnic representation of ECpE graduates would yield amore diverse engineering work force more equipped to meet the challenges of tomorrow.Diverse teams are beneficial for an amalgam of moral, equitable, and innovative reasonsincluding improved problem solving and improved work outcomes [17]. This representation anddiversification is pertinent for professional and ethical advancement. Especially as the softwareand engineering (S&E) workforce continues to grow 3% faster than total employment growth
- COURSE STRATEGY· 8- COURSE STRUCTURE• c. DASE SYLLABUS· D- COURSE UPDATING• 60 l· WHY INDUSTRIAL TRAINING?PKOBLEM • TREND 1960's - THE DECADE OF ELECTRONICS 197Q's - THE DECADE OF (MICRO)COMPUTERS 1980's - THE DECADE OF VLSi? KOBOTS? • Too FEW DESIGNERS 1979 - 17 K COMPUTER ENGINEERS (CEs) PRODUCED 1990 - 1 M CEs REQUIRED o IF ALL UNIVERSITIES PRODUCED CEs ONLY) THE NUMBER WOULD BE< 1MSOLUTION o UNDERGRADUATE & GRADUATE PROGRAMS (UNIVERSITIES &COLLEGES) • CONTINUING EoucATION (UNIVERSITIES) o INDUSTRIAL TRAINING (INSTITUTES
is illustrated in this paper, students still have low tomedium self-concept and self-efficacy. Since high self-efficacy and self-concept predict higherachievement [7], encouraging these in students who are traditionally underrepresented isimportant and something that is not accomplished simply by having high science motivations,value of science, and learning motivations and habits in the areas of science and engineering.Thus, additional effort must be made to help students connect what they are learning to theirability to perform engineering and science skills (self-efficacy) and their identity in STEM (self-concept). References:[1] J. P. Preston, S. Wiebe, M. Gabriel, A. McAuley, B. Campbell
ofpedagogy.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1628976. Any opinions, findings, conclusions or recommendations expressed in this material arethose of the authors and do not necessarily reflect the views of the National Science Foundation.References[1] S. Freeman, S. L. Eddy, M. McDonough, M K. Smith, N. Okoroafor, H. Jordt, and M.P. Wenderoth, “Active learning increases student performance in science, engineering, and mathematics,” in Proceedings of the National Academy of Sciences, (111,23), 2014. pp. 8410-8415.[2] D.H. Jonassen, J. Strobel, and C. Lee, “Everyday Problem Solving in Engineering: Lessons for Engineering Educators,” Journal of Engineering Education, vol
Paper ID #35466Bridging High School Science and First-year Engineering Through thePreservice Teachers’ Science Methods Course [RESUBMISSION]Dr. Kathleen A Harper, The Ohio State University Kathleen A. Harper is a senior lecturer in the Department of Engineering Education at The Ohio State University. She received her M. S. in physics and B. S. in electrical engineering and applied physics from Case Western Reserve University, and her Ph. D. in physics from The Ohio State University. She has been on the staff of Ohio State’s University Center for the Advancement of Teaching, in addition to teaching in both the physics and
underrepresentedgroups, particularly for women, Black students, and Hispanic students.AcknowledgementsThe authors would like to thank the instructors of these courses for their cooperation and supportof this study. We would also like to thank the 41 teaching assistants and section leaders whohelped distribute materials and did all the video showings. Lastly, we would like to thank thestudents who were enrolled in the course and participated in the study. There were many richdiscussions about the topics in these videos that cannot be captured by data or summarized in apaper.ReferencesBeilock, S. L. (2008). Math performance in stressful situations. Current directions in psychological science, 17(5), 339-343.Beilock, S. L., & Willingham, D. T. (2014
Students on Engineering Design Teams,” in 2015 ASEE Annual Conference and Exposition Proceedings, Seattle, Washington, Jun. 2015, p. 26.1007.1-26.1007.23, doi: 10.18260/p.24344.[7] E. Seymour and N. M. Hewitt, Talking about Leaving: Why Undergraduates Leave the Sciences. Boulder, CO: Westview Press, 1997.[8] D. R. Johnson, “Campus Racial Climate Perceptions and Overall Sense of Belonging Among Racially Diverse Women in STEM Majors,” J. Coll. Stud. Dev., vol. 53, no. 2, pp. 336–346, 2012, doi: 10.1353/csd.2012.0028.[9] C. E. Foor, S. E. Walden, and D. A. Trytten, “‘I Wish that I Belonged More in this Whole Engineering Group:’ Achieving Individual Diversity,” p. 13, 2007.[10] R. M. Marra, K. A. Rodgers, D. Shen, and B. Bogue
Department of Technology and Society. She is currently the Assistant Director of STEM Smart programs, which include programs S-STEM ASSETS, LSAMP, and NASA NY Space Grant. Lauren has had the opportunity to participate in many professional development programs, such as the first cohort of the Research Foundation Leadership Academy, and Research Foundation Mentoring Program. Lauren received her Master of Arts in Higher Education Ad- ministration from Stony Brook University in May 2017. Her current research analyzes the gender equity in higher education, with a focus of females in STEM. With her research background, Lauren is a Women in Science and Engineering (WISE) affiliated member, and instructs the course, Society and
,andconclusionsorrecommendationsexpressedin thismaterialarethoseoftheauthor(s)anddonotnecessarilyreflecttheviewsoftheNSF. References [1]Jolly,J.L.(2009).HistoricalPerspectives:TheNationalDefenseEducationAct,Current STEMInitiative,andtheGifted.GiftedChildToday,32(2),50–53. https://doi.org/10.4219/gct-2009-873 [2]Zeidler,D.L.(2016).STEMeducation:Adeficitframeworkforthetwentyfirstcentury?A socioculturalsocioscientificresponse.C ulturalStudiesofScienceEducation,11(1),11-26. [4] Riley,D.(2008).Engineeringandsocialjustice.SynthesisLecturesonEngineers, Technology,andSociety,3(1
. Figure 3. A Truck in MotionFigure 4 shows a bus hitting a coke can to slow down at the end of its motion. Using aluminumcans proved to be very useful to prevent vehicles from travelling back after hitting the terminalpost. Kinetic energy was absorbed into the can instead of being used to bounce back. Figure 4. A Bus at the Terminal PointTables 3 and 4 show how downloaded acceleration data in Figure 5 and Table 1 is converted intovelocity (Figure 6) and distance (Figure 7) traveled using numerical integration. Table 3. Vehicle 1 Data Analysis (Part 1) Time Yacc Net Accel. Trapezoid Width Left Right Area Speed (s) (G) (m/s2
point.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1607811. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. The authors would also like to thank Dr. Daniel Knight of the University ofColorado Boulder for his collaboration and support, as well as the graduate and undergraduateresearchers who participated in data collection and analysis throughout the project: TahsinChowdhury, Jessica Deters, and Christopher Gewirtz at Virginia Tech; Nicholas Alvarez,Sidharth Arunkumar, and Amy Tattershall at New Mexico Tech; Finn Giardine, Annie Kary, andLaura Rosenbauer at Smith
that have been voiced surroundingthem. While COVID prevented or hindered the implementation of most planned interventions,our findings thus far demonstrate that the recruitment and first-semester interventions aresupporting many of the students’ needs. However, we realize additional steps may better meetprogram participants needs as they transition into their graduate studies. By doing so, weanticipate an increase in the positive outcomes of the SEnS-GPS students’ GPAs, programretention, and graduation rates.References 1. T. Figueroa & S. Hurtado, “Underrepresented racial and/or ethnic minority (URM) graduate students in STEM disciplines: A critical approach to understanding graduate school experiences and obstacles to degree
analyzing the data.References[1] National Academy of Engineering, The Engineer of 2020: Visions of Engineering in the New Century. Washington, DC: National Academy of Engineering, 2004. Accessed: Apr. 30, 2014. [Online]. Available: http://www.nap.edu/catalog.php?record_id=10999[2] C. L. Dym, A. M. Agogino, O. Eris, D. D. Frey, and L. J. Leifer, “Engineering design thinking, teaching, and learning,” Journal of Engineering Education, vol. 94, no. 1, pp. 103– 120, Jan. 2005.[3] S. Ahmed, K. M. Wallace, and L. T. Blessing, “Understanding the differences between how novice and experienced designers approach design tasks,” Research in Engineering Design, vol. 14, no. 1, pp. 1–11, 2003.[4] N. Cross, “Design cognition: Results from
/browse/superstar. experiences, professional contexts, and superstar teacher of engineering using the belief that identities are [Accessed: 01-Jul-2020].external political environments were critical to storied. 3 J. E. Reimers, C. L. Farmer, and S. S. Klein-Gardner, “An
explore the effectiveness of a trainingmodule for first-year engineering undergraduate teaching assistants (UTA) through a qualitative analysisof responses to three open-ended prompts. All UTAs are themselves undergraduate students at thesophomore through senior level. UTA responses to the following prompts are explored in this paper: (1)Craft question(s) you might use to spark curiosity, (2) Brainstorm source(s) apart from the requiredcurriculum that students can use for design inspiration, and (3) Provide an experience from your ownundergraduate experience you perceive as EM-aligned.Training Module & Analysis Methods Our training module consisted of a text document containing descriptions of EM and the 3Cs, aninstructional video for
the percentage of thestudents who submitted each of the lab assignments, for one section of the lectures and onesection of the labs, with the same instructor. There was a total of 6 lab assignments during Fall2018 (F’18) and Spring 2019 (SP’19). Starting Fall 2019 (F’19), we introduced additional labassignments. In Table 1, we are providing the mapping of the labs used in F’18 and S’19, to thenew labs used in F’19, Spring 2020 (S’20), and Fall 2020 (F’20) for consistency. The labassignments are mapped based on the complexity of implemented designs, language constructsused, and level of tool skills needed. We will continue to use the names for new labs (1 - 8). Percentage of submitted labs
;M University plan to work together to hold a joint Mini-Maker Faire in the near future.Data will be collected to evaluate the impact on student learning. References1. C. Anderson, Makers: The New Industrial Revolution, Random House Business: New York, NY, 2012.2. B. S. Bloom, M. D. Engelhart, E. J. Furst, W. H. Hill, and D. R. Krathwohl, Taxonomy of educational objectives: The classification of educational goals, Handbook I: Cognitive domain. New York: David McKay Company, 1956. Proceedings of the 2021 ASEE Gulf-Southwest Annual Conference Baylor University, Waco, TX Copyright 2021