Paper ID #23107MAKER: Identifying Practices of Inclusion in Maker and Hacker Spaceswith Diverse ParticipationAdam Stark Masters, Virginia Tech Adam S. Masters is a doctoral student and Graduate Research Assistant at Virginia Polytechnic Institute and State University. They received a B.S. in Mechanical Engineering from University of Delaware and are currently pursuing a Ph.D. in Engineering Education at Virginia Tech. Adam’s research interests include access, equity and social justice in engineering with particular attention to the experiences of women & LGBTQ+ engineering students.Dr. Lisa D. McNair, Virginia Tech
and Computing Students” (Washington, D.C., 2012)4. Davari, S., Abeysekera, K. and Yue, K., “Building STEM Awareness through Programming Competition”, the Fourth Annual Texas Engineering and Technology Consortium Best Practices Conference, Austin, February 11- 12, 20095. Abeysekera, K., Davari, S., Yue, K., Brown, E., Kent, M., Betts, P., & Meeks, J., Success through Academic Recognition (STAR): Sustaining and Expanding UHCL and SJC TWD Computer Science Scholar Program, the third annual Texas Engineering and Technology Consortium Best Practices Conference, Dallas, Feb. 28, 2008, pp 7-9. www.thecb.state.tx.us/index.cfm?objectid=8828378A-D358-8867-5E14BDC65C9860B96. Abeysekera, K., Zhang, T., Perkins-Hall, S
include:intermediate feedback to students to facilitate successful progress; use of screencasts to illustratecomplex operations; rubrics for students; instructor support in terms of key solutions andsupporting material; and templates for data analysis and advances statistical/modeling tasks.AcknowledgmentThe authors acknowledge the support provided to this study by the National ScienceFoundation's Transforming Undergraduate Education in Science, Technology, Engineering andMathematics (TUES) program under Collaborative Award No. 1122898 (Type II).Bibliography1. Tarboton, D. G., J. S. Horsburgh, D. R. Maidment, T. Whiteaker, I. Zaslavsky, M. Piasecki, J. Goodall, D.Valentine and T. Whitenack, (2009), "Development of a Community Hydrologic Information
Step 3 Communicate the Develop Solution(s) Design Solution(s) Process Step 6 Step 4 Evaluate Select Best Solution(s) Solution(s) Step 5 Construct Prototype Figure 2. The steps of the engineering design process. Note that each step can also cycle back to
was supported in part by NSF award 1431694, Optimizing Student Team SkillDevelopment using Evidence-Based Strategies.References1 Brutus, S., & Donia, M. B. (2010). Improving the effectiveness of students in groups with a centralized peer evaluation system. Academy of Management Learning & Education, 9, 652-662.2 Mayo, M., Kakarika, M. Pastor, J.C., & Brutus, S. (2012). Aligning or inflating your Leadership self-image? A longitudinal study of responses to peer feedback in MBA teams. Academy of Management Learning & Education, 11, 631-652.3 Brutus, S., & Donia, M. B., & Ronen, S. (2013). Can business students learn to evaluate better? Evidence from repeated exposure to a peer
Evidence-Based Strategies.References1 Brutus, S., & Donia, M. B. (2010). Improving the effectiveness of students in groups with a centralized peer evaluation system. Academy of Management Learning & Education, 9, 652-662.2 Mayo, M., Kakarika, M. Pastor, J.C., & Brutus, S. (2012). Aligning or inflating your Leadership self-image? A longitudinal study of responses to peer feedback in MBA teams. Academy of Management Learning & Education, 11, 631-652.3 Brutus, S., & Donia, M. B., & Ronen, S. (2013). Can business students learn to evaluate better? Evidence from repeated exposure to a peer evaluation system. Academy of Management Learning & Education, 12, 18-31.4 Ohland, M. W
No.1826354. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundationReferences[1] D. Delgado-Bernal, "Critical race theory, Latino critical theory, and critical raced- gendered epistemologies: Recognizing students of color as holders and creators of knowledge," Qualitative inquiry, vol. 8, pp. 105-126, 2002.[2] A. Valenzuela, Subtractive schooling: US-Mexican youth and the politics of caring. Albany, NY: State University of New York Press, 2010.[3] K. S.-S. Colegrove and J. K. Adair, "Countering deficit thinking: Agency, capabilities and the early learning experiences of children of
impacts of first-year engineering courses.Though it is likely that there will be common trajectories of community and identitydevelopment from our interview population, unique trajectories are also emerging as we analyzethe data. Understanding these trajectories will allow administrators to make informed decisionsregarding the timing, content, and structure of their FYEP in order to meet their program’s needsand goals.AcknowledgementsThis material is based upon work supported by the National Science Foundation under GrantNos. 1664264 and 1664266. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflectReferences[1] X. Chen, C. E. Brawner, M. W. Ohland, and M
program.11 Differences in the observedoutcome variables, GPA and persistence are calculated from the treated and matchedparticipants, with the average differences being the effect of co-op participation.AcknowledgementsThe authors thank the National Science Foundation Research in Engineering Education Program(Award Number:1329283) for support of this research. Page 24.129.5References Cited1. Haddara, M., & Skanes, H. (2007). A reflection on cooperative education : from experience to experiential learning. Asia-Pacific Journal of Cooperative Education, 8(1), 67–76.2. Edgar, S., Francis-Coad, J., & Connaughton, J. (2013). Undergraduate
external/internal loads and deformations/strains, followed by therelationship between strains and stresses.Project Outputs and PublicationsA ranking task book with more than 200 ranking tasks was published with Prentice Hall 4.1. Brown, S., D. Lewis, D. Montfort, and R.L. Borden. The Importance of Context in Students’ Understanding of Normal and Shear Stress in Beams. American Society for Engineering Education Annual Conference, Vancouver, BC. 2011.2. Montfort, D. and S. Brown. Building Fundamental Engineering Knowledge: Identification and Classification of Engineering Students' Preconceptions in Mechanics of Materials. Annual Meeting of the American Educational Research Association, New Orleans, LA. 2011.A publication is in process
recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References1. Goodhew, P., Education moves to a new scale. NanoToday 2006, 1, (2), 40-43.2. Mohammad, A. W.; Lau, C. H.; Zaharim, A.; Omar, M. Z., Elements of Nanotechnology Education in Engineering Curriculum Worldwide. Procedia - Social and Behavioral Sciences 2012, 60, 405-412.3. Barranon, A.; Juanico, A., Major Issues in Designing an Undergraduate Program in Nanotechnology: The Mexican Case. WSEAS Transactions on Mathematics 2010, 9, (4), 264-274.4. Crone, W. C.; Lux, K. W.; Carpick, R. W.; Stone, D. S.; Hellstrom, E. E.; Bentley, A. K.; Lisensky, G., Integrating Nanoscale Science and Engineering
GrantsDUE-0536299 and DUE-0920436.Bibliography 1. P. Tebbe, J. Pribyl, and S. Ross, “Full Development of Engineering Scenarios to Promote Student Engagement in Thermodynamics – Year 1”, Proceedings of the 2010 Annual Conference & Exposition, American Society for Engineering Education, Louisville KY, 2010. 2. P. Tebbe, “Engaged in Thermodynamics – Student Engagement in the Classroom”, Paper ID #6566, Proceedings of the 2013 Annual Conference & Exposition, American Society for Engineering Education, Atlanta, 2013. 3. Felder, R.M., Woods, D.R., Stice, J.E., and Rugarcia, A., “The Future of Engineering Education II. Teaching Methods That Work,” Chem. Engr. Education, Vol. 34, No. 1, 2000
read and approved by all named authors and that there160 are no other persons who satisfied the criteria for authorship but are not listed. We further confirm161 that the order of authors listed in the manuscript has been approved by all of us. Thanks for the162 support from the National Science Foundation (NSF S-STEM #2029907; NSF Implementation163 Project #2306341). Any opinions, findings, conclusions, or recommendations expressed in this164 material are those of the authors.165166 References167 [1] E. Rivers, “Women, minorities, and persons with disabilities in science and168 engineering”, National Science Foundation, 2017.169 [2] S. Livingstone, & M. Bovill, “Children and their changing media environment: A170
second chance to provetheir knowledge increased their motivation to learn. This highlighted to them that the class wasabout increasing their knowledge rather than penalizing them for their mistakes.3.2 Do students find oral exams play a positive role in their learning? D. How did oral exams impact students' understanding of the subject matter?In the end-of-quarter survey, students were asked whether they believe the oral exams increasedtheir understanding of the subject matter. Overall, the majority of students found the oralassessment(s) increased their understanding of the subject matter. 72.1% of the valid responsesanswered “agree/strongly agree” to the prompt, while nearly 21.4% answered neutral, and only6.4% answered, “disagree/strongly
this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] M. M. Chemers, E. L. Zurbriggen, M. Syed, B. K. Goza, and S. Bearman, "The role of efficacy and identity in science career commitment among underrepresented minority students," Journal of Social Issues, vol. 67, no. 3, pp. 469-491, 2011, doi: 10.1111/j.1540-4560.2011.01710.x.[2] D. I. Hanauer, M. J. Graham, and G. F. Hatfull, "A measure of college student persistence in the sciences (PITS)," CBE-Life Sciences Education, vol. 15, no. 4, pp. 59- 82, 2016 2016, doi: 10.1187/cbe.15-09-0185.[3] T. Ju and J. Zhu, "Exploring senior engineering students’ engineering identity: the impact
-sourceweb-based tool that will guide individual or collaborating STEM educators, step-by-step,through an outcome-based education process as they define learning objectives, select content tobe covered, develop an instruction and assessment plan, and define the learning environment andcontext for their course(s). It will also contain a repository of current best pedagogical andassessment practices, and based on selections the user makes when defining the learningobjectives of the course, the IMODTM system will present options for assessment and instructionthat aligns with the type/level of student learning desired. While one of the key deliverables ofthe project is the software tool, the primary focus of this initiative is to advance the
Institutional Culture Change. Journal of Learning Analytics, 6(2), 86-94. Retrieved from https://eric.ed.gov/?id=EJ1224131[2] Chan Hilton, A., Blunt, S., and Mitchell, Z. (2022). Capacity-Building to Transform STEM Education Through Faculty Communities in Learning Analytics and Inquiry. ASEE 2022 Annual Conference and Exhibition, June 2022, Minneapolis, MN. Retrieved from https://peer.asee.org/42085[3] Barron, K. & Hulleman, C. (2014). Expectancy-Value-Cost Model of Motivation. In: International Encyclopedia of Social & Behavioral Sciences (Second Edition) (ed. J. D. Wright), 503-509. DOI: 10.1016/B978-0-08-097086-8.26099-6[4] Wigfield, A. & Eccles, J.S. (2000). Expectancy-value theory of achievement motivation
issued Z-number which serves as a unique identifier for eachparticipant for each measurement period. This will ensure that proper statistical analysis can beconducted. The primary analyses will focus on the two aforementioned research questions andthe hypothesis. To examine the first research question— What do engineering Faculty know Table 2. Measures Table Measure Description Purpose Assessment(s)Faculty Knowledge of SDT 12 items adapted from Faculty Knowledge of From faculty beginning of Questionnaire William & Deci [33] Self-Determination Theory Spring 2014 and Spring
conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the Foundation. REFERENCES[1] J. R. Anderson, L. M. Reder and H. A. Simon, “Situated learning and education,” Educational Researcher, vol.25, no.4, pp.5–11, May 1996.[2] J. Corbet, A. Rubini, G. Kroah-Hartman, Linux Device Drivers, 3rd Edition. O’Reilly Media, Inc., Sebastopol, CA, 2005.[3] F. Jiang and S. Mao, “Integration of Software-Defined Radios into undergraduate communications system courses for minority students,” in Proc. The 2014 ASEE Southeastern Section Annual Conference, Macon, GA, Mar./Apr. 2014.[4] R. W. Heath, Jr., Digital Wireless
Accessibility and Universal De- sign for Learning. He has a Ph.D. in Mechanical Engineering from the University of Wyoming (Laramie, Wyoming). He is a member of the American Society for Engineering Education (ASEE). He is the recip- ient of David S. Taylor Service to Students Award and Golden Apple Award from Boise State University. He is also the recipient of ASEE Pacific Northwest Section (PNW) Outstanding Teaching Award, ASEE Mechanical Engineering division’s Outstanding New Educator Award and several course design awards. He serves as the campus representative (ASEE) for Boise State University and as the Chair for the ASEE PNW Section. His academic research interests include innovative teaching and learning strategies
also a founder ofDaniel Lapsley, University of Notre DameDr. Kerry Meyers, University of Notre Dame Dr. Kerry Meyers holds a Ph.D. in Engineering Education (B.S. & M.S. Mechanical Engineering) and is specifically focused on programs that influence studentˆa C™s experience, affect retention rates, and the factors that determine the overall long term succesEmily C. LaPorteKhalid Oladeji Bello, University of Louisville Khalid Bello is a PhD student at University of Louisville. ©American Society for Engineering Education, 2023 Replicating the Community-Engaged Educational Ecosystem: First Year FindingsIntroductionWith transition to the knowledge-based
Moodle Research Conference, 2012. [5] J. R. Savery, “Overview of problem-based learning: De[U+FB01]nitions and distinctions,” Interdisciplinary Journal of Problem-Based Learning, vol. 1, no. 1, 2006. [6] A. Yadav, D. Subedi, M. A. Lundeberg, and C. F. Bunting, “Problem-based learning: Influence on students learning in an electrical engineering course,” Journal of Engineering Education, vol. 100, no. 2, p. 253–280, 2011. [7] R. Mayer, “How engineers learn: a study of problem-based learning in the engineering classroom and implications for course design,” [8] D. Zapata-Rivera, “Adaptive, assessment-based educational games,” Intelligent Tutoring Systems Lecture Notes in Computer Science, p. 435–437, 2010. [9] W. Ravyse, S
. House, J. Livingston, and A. Watt, “Grandest Challenge: Models for Communication Development in Technical Contexts,” Am. Soc. Eng. Educ., Jun. 2014.[4] A.-B. Hunter, S. L. Laursen, and E. Seymour, “Becoming a scientist: The role of undergraduate research in students’ cognitive, personal, and professional development,” Sci. Educ., vol. 91, no. 1, pp. 36–74, Jan. 2007.[5] D. Lopatto, “Undergraduate Research Experiences Support Science Career Decisions and Active Learning,” CBE-Life Sci. Educ., vol. 6, no. 4, pp. 297–306, Dec. 2007.[6] K. W. Bauer and J. S. Bennett, “Alumni Perceptions Used to Assess Undergraduate Research Experience,” J. High. Educ., vol. 74, no. 2, pp. 210–230, Apr. 2003.[7] M. C. Linn, E. Palmer, A. Baranger, E
acomprehensive understanding of what is happening for learners.AcknowledgementsThis paper is based on research supported by the National Science Foundation under Grant Nos.1433757, 1433645, & 1150384. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.ReferencesAtkinson, R.C. & Shiffrin, R.M. (1971). The control of short term memory. Scientific American, 225(2):82-90.Barzilai, S., & Zohar, A. (2016). Epistemic (meta) cognition: Ways of thinking about knowledge and knowing Handbook of epistemic cognition (pp. 409-424).Bendixen, L. (2002). A Process Model of Epistemic Belief Change. In Hofer, B
. c American Society for Engineering Education, 2018 Renewable Resources: Theme with Broad Societal Impact for REU Students S. L. Burketta, S. Gersterb, T. J. Freeborna, E. R. Gianninic, R. M. Frazierd, D. M. McCallume, and G. QuennevilleeAbstractRenewable Resources, as our Research Experience for Undergraduates (REU) Site theme, provides asocially relevant context and unifies the student cohort. In our nine-week program, ten students areimmersed each year in projects related to renewable resources. They also engage in professionaldevelopment seminars and a six-week entrepreneurship course (Crimson Startup). Each research projectinvolves investigating various
engineering. Proceedings of the National Academy of Sciences, pp. 4988–4993, 2015.[7] P. G. Davies, S. J. Spencer, D. M. Quinn, and R. Gerhardstein. Consuming Images: How Television Commercials that Elicit Stereotype Threat Can Restrain Women Academically and Professionally. Personality and Social Psychology Bulletin, 28(12):1615–1628, 2002.[8] J. D. Finn. Withdrawing From School. Review of Educational Research, 59(2):117–142, 1989.[9] C. Good, A. Rattan, and C. S. Dweck. Why do women opt out? Sense of belonging and women’s representation in mathematics. Journal of Personality and Social Psychology, 102(4):700–717, 2012.[10] C. Goodenow. The psychological sense of school membership among adolescents: Scale development and educational
’ space where ‘social’ or ‘political’ issues…aretangential to engineers’ work” (p. 67)32. She further argues that such beliefs are developed in thecourse of the undergraduate engineering curriculum. Moreover, Kilgore et al.’s study found thatbeginning (and especially women) students were “sensitive to important contextual factors” (p.321)33 and further argue that “efforts to broaden participation in engineering should considerlegitimizing and fostering context-oriented approaches to engineering earlier in the curriculum”(p. 321) 33. Many other scholars discuss this tension between the social realities of traditionalengineering practice and a lack of social awareness practicing engineering courses and amongengineering students and professionals34
morecomparative analysis of what experiences are the most beneficial.AcknowledgementsThis work was supported in part by NSF Grant#EEC-1424444. We would like to thank ourinformants for participating in the field studies reported here. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation.References1. ABET. (2011). Criteria for Accrediting Engineering Programs – Program Outcomes and Assessment. Baltimore, MD: Accreditation Board for Engineering and Technology.2. ASEE (2012). Innovation with Impact: Creating a Culture for Scholarly and Systematic Innovation in Engineering Education. Leah H. Jamieson and Jack R
provided helpful criticism that makesus more effective.This work is supported by the National Science Foundation’s Revolutionizing Engineering andComputer Science Departments (RED) program through Award #1519453.References[1] S. M. Lord, J. A. Meija, G. Hoople, D. Chen, O. Dalrymple, E. Reedy, B. Przestrzelski, andA. Choi-Fitzpatrick, “Creative Curricula for Changemaking Engineers”, Proceedings of theWEEF-GEDC 2018 Conference, Albuquerque, New Mexico, November, 2018.[2] S. M. Lord, B. Przestrzelski, and E. Reddy, “Teaching Social Responsibility: ConflictMinerals Module for a Circuits Class”, Proceedings of the WEEF-GEDC 2018 Conference,Albuquerque, New Mexico, November, 2018.[3] S. M. Lord, B. Przestrzelski, and E. Reedy “Teaching social