. With this rising awareness, UTEP determined twenty-five years ago to implement a first-year core class experience as part of The Model Institutions for Excellence (MIE) program. TheUTEP implemented MIE to increase underrepresented minorities in science, technology,engineering, and mathematics (STEM). Funded by the National Science Foundation, this 11-yearprogram challenged UTEP to: (a) Improve the first-year experience of its entering freshmen; (b)Develop good study habits, (c) Enhance instruction across the STEM curricula; (d) Promotecareer options; and (e) Encourage advancing to graduate school studies. According to MIEDirector Dr. Benjamin Flores," the MIE program's success was based on changing the Universityculture by promoting early
increase inparticipation between 2009 and 2020, where maximum participation of 20.41% was obtained.Although results are slightly higher than the average participation of women in OECD countries[2], there is evidence of a gender gap in STEM disciplines' first-year preferences.Figure 2 shows two graphs; the one on the left (a) shows a decreasing trend in women'spreferences towards STEM disciplines. The graph on the right (b) side shows how this behaviorchanges towards a positive trend (from 2014 onwards), gradually increasing women's preferencesfor these disciplines. Figure 2. Decrease (a) and increase (b) in the distribution of preferences for female first- year students in STEM, Source: Own elaboration based on SIES historical enrolment from
Paper ID #33791Professional Development of Secondary School STEM Educators inSub-Saharan Africa: A Systematized Literature ReviewMr. Moses Olayemi, Purdue University, West Lafayette Moses Olayemi is a doctoral student in the School of Engineering Education at Purdue University. He is passionate about the professional development of STEM educators as change agents in the educational landscape of Sub-Saharan Africa. He aspired to leverage research-based empirical evidence to influence education policies.Mr. Collins N. Vaye, Florida International University Collins N. Vaye is a first-generation graduate student and a
Paper ID #34545Design the Future Activities (DFA): A Pedagogical Content KnowledgeFramework in Engineering Design EducationHadi Ali, Arizona State University, Polytechnic campus Hadi studies the influence of the future of work on curricular innovation, with a focus on exploring the relationships between and among adaptability, risk taking and value making. In an effort to characterize engineering education as an (eco)system for creating value, Hadi’s approach integrates analytical methods of data science to address changes in systems and society. More broadly, Hadi is interested in examining how engineering innovations
Engineering Programs (Rep.). Retrieved https://www.abet.org/wp- content/uploads/2018/11/E001-19-20-EAC-Criteria-11-24-18.pdfBates, S. (2016). Flint water crisis: For young engineers, a lesson on the importance of listening. National Science Foundation. Retrieved https://www.nsf.gov/discoveries/disc_summ.jsp?cntn_id=138060Battle, C. (2020). Reflections in Trust. YouTube. Retrieved: https://www.youtube.com/watch?v=hgUrxZen5WABielefeldt, A. R., & Canney, N. E. (2019). Working engineers’ satisfaction with helping people and society through their jobs. European Journal of Engineering Education, 44(6), 939- 953.Bloom, P. (2017). Against empathy: The case for rational compassion. Random House.Boklage, A., Coley, B
Paper ID #33124Engineering in Videogames: A Case Study of Iconoclasts Narrative andInteractive Portrayal of EngineersDr. Corey T. Schimpf, University at Buffalo, The State University of New York (CoE) Corey Schimpf is an Assistant Professor in the Department of Engineering Education at the University at Buffalo with interest in engineering design, advancing research methods, and technology innovations to support learning in complex domains. One major strand of his work focuses on analyzing how expertise develops in engineering design across the continuum from novice pre-college students to practicing en- gineers. Another
used for the purpose ofmapping and geo-spatial analysis. This software enables students to use the GPS application forasset management showing natural as well as in-built assets on the ground. The students werealso exposed to learning opportunities though mobile museums organized in the schools bySouth Florida Science Center and Aquarium (Figures 4b and 4c). a) b) c)Figure 4. Student Learning Activities: a) Asset Mapping of School Playground usingArcGIS Collector App, b) Mobile Museum in Middle School, c) Mobile Museum Set-up inHigh School Gymnasiumiv) Family Café events for the Middle and High SchoolsParental involvement in a student’s education has a
educational psychology, 25(1), 68-81, 2000.[6] E. A. Mosyjowski, S. R. Daly, A. B. Baker, D. L. Peters, & S. J. Skerlos, “Engineering practitioners in PhD programs: Who are they and why do they return?,” In American Society of Engineering Education Annual Conference & Exposition, Seattle, WA, June 2015.[7] E. A. Mosyjowski, S. R. Daly, D. L. Peters, S. J. Skerlos, & A. B. Baker, “Engineering PhD returners and direct‐pathway students: Comparing expectancy, value, and cost,” Journal of engineering education, 106(4), 639-676, 2017.[8] E. A. Gross, D. L. Peters, S R. Daly, & S. L. Mann, “Perceived self-efficacy of master's in engineering students regarding software proficiency and engineering
included (seeAppendix B) though the presentation is part of one overall grade. Students must complete theoral presentation in order to receive credit for the written report.The objectives of the report assignment and module are four-fold. Upon completion of thisreport and module, students should be able to: I. Increase their understanding of cross-cultural values related to rhetorical and design decisions as they pertain to UI design and human behavior as well as their respect for diversity, equity, and inclusion (DEI) in communication, design, and the engineering workplace. II. Gain an understanding of how to apply a modified content analysis to analyze website UIs and formulate results. III. Explain research
assembled work panel , and (b) a folded work panel. Figure 2: (a) A Fully assembled work panel, and (b) a disassembled work panel.In this lighter version of the work panel, various add-on tools, including pulleys, clamps, cords,weights, and weight hangers, can be used to demonstrate statics experiments in two and three-dimensional spaces.The following experiments were demonstrated using the proposed kit: 1. Force equilibrium in two-dimensional spaces 2. Force equilibrium in three-dimensional spaces 3. Demonstration of a vector dot product 4. Demonstration of vector cross product 5. Beam reactions 6. Center of gravity of an area and volume 7. A spaghetti bridge
., vol. 70, no. 1, pp. 30–35, Sep. 2010.[13] K. B. Wendell, “Design Practices of Preservice Elementary Teachers in an Integrated Engineering and Literature Experience,” J. Pre-Coll. Eng. Educ. Res., vol. 4, no. 2, pp. 29– 46, 2014.[14] H. Diefes-Dux, “In-service teacher professional development in engineering education: Early years,” Eng. Precollege Settings Synth. Res. Policy Pract., pp. 233–257, 2014.[15] P. Stevens and M. Weale, “Education and economic growth,” Int. Handb. Econ. Educ., vol. 27, pp. 205–311, 2004.[16] P. A. Rubba, “Excellence in Educating Teachers of Science. The 1993 Yearbook of the Association for the Education of Teachers of Science.,” 1993.[17] J. Piaget, The equilibration of
Harvard Medical School and its affiliated hospitals. She received her B. E. in Precision Machinery and Instrumentation from the Univ of Science and Technology of China and her PhD from MIT in the area of computer aided design for 3-D Printing. Dr. Liu was driven by the interest of helping cure diseases and have done research in diverse Data Science related areas such as Bioinformatics, Computational Biology, Biostatistics, and Machine learning. Over a 4-year period of encountering/interacting with students, reviewing academic works and college teaching, she discovered her passion for teaching undergraduate students and training next generation of computer scientists and data-centered professionals. She is
development of autobiographical memory,” Psychological Review, vol. 104, pp. 499-523, 1997.12. D. B. Pillemer, Momentous events, vivid memories. Cambridge, MA: Harvard University Press, 1998.13. M. C. Green & T. C. Brock, “The role of transportation in the persuasiveness of public narratives,” Journal of Personality and Social Psychology, vol. 79, pp. 701-721, 2000.14. Q. Wang, Q. Song, & J. B. K. Koh, “Culture, Memory, and Narrative Self-Making,” Imagination, Cognition, and Personality, vol. 37, no. 2, pp. 199-223.15. H. A. Bosma, & E. S. Kunnen, “Determinants and mechanism in ego identity development: A review and synthesis,” Developmental Review, vol. 21, pp. 39-66, 2001.16. A. Thorne, “Culture and cognitive development
backside of your concept map, please write down answers to : a) In your presentation, what about that concept was difficult to explain to peers? b) What ideas did you get from the group to understand this concept better?While concept map exercise was completed by all students when they came to the class wherediscussion activity was held, the self-reflection on concept maps was turned in by 46 students outof 86, for an extra credit. From student responses to prompt a), the difficulties students reportedin explaining to peers were thematically coded. The frequency of the concepts mentioned asdifficult to explain was also accounted for generating a word cloud. Student responses to promptb) were analyzed to get an insight
Research Experiences, Partnerships With Scientists, and Teacher Networks Sustaining Factors From Professional Development," Journal of Science Teacher Education, vol. 17, no. 1, pp. 1-14, 2006.[5] M. S. Garet, A. C. Porter, L. Desimone, B. F. Birman, and K. S. Yoon, "What Makes Professional Development Effective? Results From a National Sample of Teachers," American Educational Research Journal, vol. 38, no. 4, pp. 915-945, 2001, doi: 10.3102/00028312038004915.[6] NSF. "Research Experiences for Teachers (RET) in Engineering and Computer Science." https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505170 (accessed.[7] N. G. S. Standards. "NGSS." https://www.nextgenscience.org/standards/standards
time to explore on their own can be a key aspect of developing thesecompetencies. Beyond the travel component, we consider the academic aspect of these types ofprograms (i.e., courses associated with it) and also intentionally design learning activities thatallow students to obtain complementary learning gains to what they are experiencing by the factof being abroad. Including self-reflection as part of the assignments have proven to help withawareness.References[1] B. K. Jesiek, Q. Zhu, S. E. Woo, J. Thompson, and A. Mazzurco, “Global Engineering Competency in Context: Situations and Behaviors,” p. 16, 2014.[2] L. A. Braskamp, D. C. Braskamp, K. C. Merrill, and M. Engberg, The Global Perspective Inventory (GPI): Its Purpose
-Brissett, A., & Turner, S. L. (2010). Racism, parent support, and math-based career interests, efficacy, and outcome expectations among African American adolescents. Journal of Black Psychology, 36(2), 197–225.7. Friend, C. A., Hunter, A. G., & Fletcher, A. C. (2011). Parental Racial Socialization and the Academic Achievement of African American Children: A Cultural-Ecological Approach. Journal of African American Studies, 15(1), 40-57.8. Martin, D. (2006). Mathematics learning and participation as racialized forms of experience: African American parents speak on the struggle for mathematics literacy. Mathematical Thinking and Learning, 8(3), 197-229.9. Chisholm, J., & Greene, B. (2008). Women of
for this lecture, but with more focus on cybersecurityconcepts and correlation with course activities. The lecture is always done toward the end of thesemester, as students are working on a course project that involves design and implementation ofa 3-bit CPU. Figure 7 shows the desired (end-product) of the course project which could be builtup using constitute components. From semester to semester, the various “functions” andopcodes of the CPU change. Figure 7: Example 3-bit CPU from PETGUI Component and Gate-Level DefinitionThe example in Figure 7 shows that two 3-bit numbers (A,B) are input along with a 2-bit opcode,which chooses 1 of 4 potential functions: NEGATE(A), AND(A,B), COMPARE(A,B), andADD(A,B). The PETGUI guest lecture
definitions, general criterion 3 student outcomes, and general criterion 5 curriculum,” 2015.[3] B. Seely, “‘Patterns in the History of Engineering Education Reform: A Brief Essay,’” in Educating the engineer of 2020: Adapting engineering education to the new century, Washington D.C.: National Academcy Press, 2005, pp. 114–130.[4] M. S. Schiro, Curriculum Theory: Conflicting Visions and Enduring Concerns. Thousand Oaks, CA: Sage, 2012.[5] E. T. Pascarella and P. T. Terenzini, How college affects students. 2005.[6] A. Akera, D. M. Riley, R. A. Cheville, J. Karlin, and T. A. DePree, “The Distributed System of Governance in Engineering Education: A Report on Initial Findings,” in Proc. of the Amer. Soc
regarding what a student feels are the correct answers, specific rulesbased on a student’s drop-down selections can be applied once certain responses are removed fromconsideration. In this case, the rules would be applied after the three responses indicating a changein the power of R1 were removed. So too, responses that correspond to drop-down selections inwhich ONLY the power of R2 was believed to change could be removed to avoid lumping localizedwith sequential misconceptions. Even without using drop-down selection to eliminate the potentialfor false positives, the results are promising considering only a very simplistic word-matchingapproach was used. B. Constant Voltage ErrorsThe second most common error that showed up in in student
thesestudents into a course that requires mastery. Among other reasons, it is likely that they have notdeveloped proper study habits or the skills necessary to review and correct their work during anexamination. To account for this, multiple opportunities were provided on each of the midtermexams. For each of the midterm exams, the final score was the sum of the best scores in eachsection (described below) from any of the exam attempts. There was only one attempt on thefinal exam, which had a similar structure as the midterm exams.In version 1 of the assessment model, three attempts (A, B and C) at each exam were offered.There were four midterm exams, so a total of twelve exams plus the final exam were offeredduring the semester. With three chances to
spread,” Technovation, vol. 25, no. 3, pp. 213–222, 2005.[2] O. B. Adedoyin and E. Soykan, “Covid-19 pandemic and online learning: the challenges and opportunities,” Interactive Learning Environments, pp. 1–13, 2020.[3] G. E. Prestera and L. A. Moller, “Facilitating Asynchronous Distance Learning: Exploiting Opportunities for Knowledge Building in Asynchronous Distance Learning Environments.,” 2001.[4] R. Blair and T. M. Serafini, “Integration of education: Using social media networks to engage students,” Systemics. Cybernetics, and Informatics, vol. 6, no. 12, pp. 28–31, 2014.[5] N. Buzzetto-More, “Student attitudes towards the integration of YouTube in online, hybrid, and web-assisted courses: An examination of the impact
bring to their early learningexperiences.References[1] L. Kaczmarczyk, E. Petrick, J. P. East, and G. L. Herman, “Identifying studentmisconceptions of programming,” in Proceedings of the Forty-First ACM Technical Symposiumon Computer Science Education, 2010, Conference Proceedings, pp. 107–111.[2] R. Lister, B. Simon, E. Thompson, J. L. Whalley, and C. Prasad, “Not seeing the forestfor the trees: Novice programmers and the solo taxonomy,” in Proceedings of the 11th AnnualSIGCSE Conference on Innovation and Technology in Computer Science Education, ser.ITICSE ’06. New York, NY, USA: Association for Computing Machinery, 2006, p. 118–122.[Online]. Available: https://doi.org/10.1145/1140124.1140157[3] J. D.Bransford, A. L.Brown, and
the basic concepts taught in thecore STEM courses is a strong contributing factor to student attrition. Strategies to improvelearning experiences in STEM courses by all students at colleges and universities are thereforeneeded so that they persist in the STEM career pipeline. A group of STEM faculty members at aHistorically Black University is committed to this important need through the far-reaching use ofVirtual Reality (VR) in its STEM courses and investigating its impact on learning outcomes,engagement and persistence in STEM.The two big questions that continue to be examined by STEM education experts are: (a) Why dostudents change their majors from a STEM to a non-STEM major? and, (b) Why do studentsstruggle with STEM concepts leading
to reference them and find what you needed and not be stuck searching through the program for hours…Having the class time to ask questions about assignments and any problems that arose while completing assignments was very helpful to me…”Fig. 2. Use of flipped classroom resources: watching video demos or reading text instructions. Inthe end of course anonymous online survey, students (n=149) were asked A) whether theypreferred to watch the video demos or read the text instructions, and B) how many times theywatched the video demos.Fig. 3. Preference for flipped classroom or traditional lecture format courses. In the end of courseanonymous online survey, students (n=149) were asked A) whether they preferred this CADcourse to
tool.Special thank you for the support from the Control Systems Department at University of Texas atDallas. 10 References1. B. Balamuralithara and P. Woods, "Virtual laboratories in engineering education: The simulation lab and remote lab," in Computer Applications in Engineering Education, Wiley Online Library, 2008, pp. 108-118.2. D. Cook, S. Hamstra, B. Zendejas, J. Szostek, A. Wang, P. Erwin and R. Hatala, "Comparative effectiveness of instructional design features in simulation-based education: Systematic review and meta-analysis.," in Medical Teacher, pp. 867-898.3. Kiryakova, Gabriela & Angelova, Nadezhda &
. AcknowledgementsThe authors would like to acknowledge the financial support of Writing Lab, Institute for theFuture of Education, Tecnologico de Monterrey, Mexico, in the production of this work. Wewould also like to acknowledge the support by the owners, administration and workers of theconstructions sites that allowed us to carry out our activities.VII. References[1] N. Gery, A. Winer, B. Zaks, “A LEARNING ANALYTICS APPROACH FOR EVALUATING THE IMPACTOF INTERACTIVITY IN ONLINE VIDEO LECTURES ON THE ATTENTION SPAN OF STUDENTS”Interdisciplinary Journal of E-Skills and Lifelong Learning. Vol. 12. p. 215 -228. October 2017. [online]. Available:https://www.informingscience.org/Publications/3875. [Accessed February 1, 2020].[2] The Challenge Institute, “Challenge
serves as an editorial advisory board member of Transportation Research Part C: Emerging Technologies, an editorial board editor of Transportation Research Part B: Methodological, an associate editor for the IEEE Intelligent Transportation Systems Magazine (an international peer-reviewed journal), a handling editor for the Transportation Research Record and is a member of the Transportation Research Board’s Committee on Traffic Flow Theory and Characteristics (AHB 45), where he serves as a paper review coordinator. He has been recognized with multiple awards for his research and teach- ing activities, including the Dwight D. Eisenhower Transportation Fellowship, Gordon F. Newell Award for Excellence in Transportation
, p = 0.047]. Temporal demand wassignificantly lower for Test 3 (Mtest3 = 57.9), as compared to emergency online courses (Monline =73.7) [t(18) = -2.17, p = 0.044]. Effort was significantly lower for Test 3 (Mtest3 = 76.8), ascompared to emergency online courses (Monline = 88.2) [t(18) = -1.48, p = 0.026]. Frustrationwas significantly lower for Test 3 (Mtest3 = 63.2), as compared to emergency online courses(Monline = 83.7) [t(18) = -3.30, p = 0.022]. 100 100 Test 3 Face-to-Face (A) Test 3 Online (B) 90 90 80 80
material is based upon work supported by the National Science Foundation under Grant No.1943541. 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 ScienceFoundation. The authors thank project advisory board members Jennifer Cromley, AllisonGodwin, and Nicola Sochacka for feedback on the survey items and interview protocol. Theauthors also thank the study participants for their insight and sharing their experiences.References[1] R. M. Simon, A. Wagner, and B. Killion, "Gender and choosing a STEM major in college: Femininity, masculinity, chilly climate, and occupational values," Journal of Research in Science Teaching