Paper ID #21306STEM Experiences of Engineering Students From Low-Socioeconomic Neigh-borhoodsMr. Justin Charles Major, Purdue University, West Lafayette (College of Engineering) Justin C. Major is a first-year Engineering Education Ph.D student and National Science Foundation Grad- uate Research Fellow at Purdue University. Justin has two bachelor’s degrees in Mechanical Engineering and Secondary Mathematics Education from the University of Nevada, Reno, and during his undergrad- uate education, he focused on K-12 Engineering Education. Justin’s research and service focuses on the experiences and development of low
Swaminathan is currently working on his Ph.D degree in Chemical Engineering at the Tennessee Technological University, Cookeville, TN 38505. His research is to critically evaluate the pure component parameterization methodologies in equation of state modeling and their effect on mixture phase predictions. He received his B.Tech degree from University of Madras (India) and his MS degree from Tennessee Technological University.Lisa Zagumny, Tennessee Technological Univesity Lisa Zagumny is Assistant Professor of Qualitative Research, Educational Anthropology, Foundations, Tennessee Tech University, Box 5042, Cookeville, TN 38505; email lzagumny@tntech.edu. Her research interests overlap with a concern
; Exposition. Washington, DC: American Society for Engineering Education. 2) Jonassen, D. H. (2014). Engineers as problem solvers. In A. Johri & B. M. Olds (Eds.), Cambridge Handbook of Engineering Education Research (pp. 103-118). Cambridge, England: Cambridge University Press. 3) Jonassen, D., Strobel, J., & Lee, C. B. (2006). Everyday problem solving in engineering: Lessons for engineering educators. Journal of Engineering Education, 95(2), 139-151. 4) Cross, N., & Cross, A. C. (1998). Expertise in engineering design. Research in engineering design, 10(3), 141-149. 5) Bucciarelli, L. (1996). Designing Engineers. Cambridge, MA: The MIT Press. 6) Gainsburg, J. (2007). The mathematical disposition of
from http://cee.ucdavis.edu/educational_analytics/gorp-tool.htmlMichaels, S., & O'Connor, C. (2012). Talk science primer. TERC.Prince, M. (2004). Does Active Learning Work? A Review of the Research. Journal of Engineering Education, 93(3), 223-231. doi:10.1002/j.2168-9830.2004.tb00809.xResnick, L. B., & Hall, M. W. (2000). Principles of learning for effort-based education.Smith, M. K., Jones, F. H., Gilbert, S. L., & Wieman, C. E. (2013). The Classroom Observation Protocol for Undergraduate STEM (COPUS): A New Instrument to Characterize University STEM Classroom Practices. Cell Biology Education, 12(4), 618-627. doi:10.1187/cbe.13-08-0154EngineeringLearningClassroomObservationTool
AC 2010-447: MIDDLE-SCHOOL TEACHERS’ USE AND DEVELOPMENT OFENGINEERING SUBJECT MATTER KNOWLEDGEMorgan Hynes, Tufts UniversityDavid Crismond, The City College of New YorkBarbara Brizuela, Tufts University Page 15.873.1© American Society for Engineering Education, 2010 Middle-School Teachers’ Use And Development Of Engineering Subject Matter Knowledge: Analysis of Three CasesAbstractThis paper reports on a portion of a study of three middle school teachers (twomathematics teachers and one science teacher) as they taught a unit of engineeringinstruction. The study investigated the subject matter and pedagogical contentknowledge these teachers used and developed as they taught
types of biasesthat they observed in the texts in their study; one that was used to analyze introductorypsychology texts and the other that was used to analyze human development texts. The authors’research goals were to (a) develop a measurement tool for evaluating gender bias in textbooks,(b) to determine how much change had occurred since the American Psychological Association’sguidelines for non-bias text had been issued, and (c) to evaluate the current level of equity ofgender representation in texts. The researchers found gross inequity in gender representation inthe textbooks that they analyzed. Women were often portrayed as “passive participants” ratherthan “active agents” in the texts. Peterson and Kroner also suggest several useful
college impact was usually the direct relationship of collegeenvironment on student outcomes as expressed in relationship B. Relationship C expresses theconcept that some portion of the outcomes a student realizes was affected by inputs independentof the college environment. Significantly, this model also allows for the analysis of certaininteractions expected by theory that have direct impact on the question being studied. The effect Page 24.486.3of input was expected to be different in different college settings as shown by the AC interaction.This interaction was of particular interest when comparing military academies to civilianinstitutions
such applications.This work reports on a part of a larger study where the core technical ECE curriculum at a largeuniversity in the midwestern United States is reshaped through novel and proven pedagogicalapproaches to (a) promote design thinking, systems thinking, professional skills such asleadership, and inclusion; (b) contextualize course concepts; and (c) stimulate creative, socio-technical-minded development of ECE technologies for future smart systems, including securityand privacy. Using iterative design thinking process and reflection, the instructional teamsexplore professional formation pedagogy (PFP) strategies and integrate them into courses8,9. Aspart of the larger study, this paper investigates the use of design thinking in the
Improve the Academy: Resources for Faculty, Instructional, and Organizational Development, 26, 133-144.Froyd, J., Borrego, M., Cutler, S., Prince, M., & Henderson, C. (2013). Estimates of use of research-based instructional strategies in core electrical or computer engineering courses. IEEE Transactions on Education, 56(4), 393-399.Handelsman, J., Ebert-May, D., Beichner, R., Bruns, P., Chang, A., DeHaan, R., Gentile, J., Lauffer, S., Stewart, J., Tilghman, S. M., & Wood, W. B. (2004). Scientific teaching. Science, 304(5670), 521-522.Henderson, C., & Dancy, M. (2007). Barriers to the use of research-based instructional strategies: The influence of both individual and situational characteristics. Physical
Cornell University. The study was part of a research investigating the Page 12.197.4effects of wireless computing in collaborative learning environments. Two groups of studentsheard the same lecture; group A was allowed to open their laptops while group B was not.Immediately after the lecture a test of traditional measures of memory for lecture content wasperformed. Investigators found that students in group A suffered decrements in informationretention compared to those in group B. Statistical significant differences were found in therecall and total scores. However, differences only approach statistical significance in therecognition part of
-290.12 Finelli, C. J., Klinger, A., and Budny, D. D. (2001). Strategies for improving the classroom environment. Journalof Engineering Education, 90(4), 491-497.13 Smith, K., Sheppard, S., Johnson, D., and Johnson, R. (2005). Pedagogies of engagement: Classroom-basedpractices. Journal of Engineering Education, January, 87-101.14 McCombs, B. L. and Whistler, J. S. (1997). The learner-centered classroom and school: Strategies forincreasing student motivation and achievement. San Francisco, CA: Jossey-Bass.15 Astin, A. (1993). What matters in college? Four critical years revisited. San Francisco, CA: Jossey-Bass.16 Granitz, N., Koernig, S., and Harich, K. (2009). Now it's personal: Antecedents and outcomes of rapport betweenbusiness faculty and
fourhighest rated competencies were organizing the communication, displaying sufficient generalknowledge about the topic, showing confidence, and adjusting to the audience. Manypublications have described competencies that students should acquire to become goodcommunicators 13, 14, 15. Based on the employer input and communication skills literature, webelieve that the following competencies are core to oral communications: (a) Content-development skills, i.e., competence in ideation generation, amplification, and organization; (b) Presentation skills, i.e., competence in generating interest, sustaining attention, using appropriate language, and being clear 14; (c) Receptive skills, i.e., listening and interpretive competence; and (d
8.1% Hispanic/ Latino American 5.8% Other a 19.3% Caucasian American (reference group) 64.4% Foreign-born Status Foreign-born students b 13.9% U.S. born students 86.1% Mean Std. Dev. SAT Math score 633.42
. Page 12.697.6 5To accelerate and standardize the evaluation procedure, the Office of Admissions and School ofEngineering administration decided to initiate the implementation of a prototype for a software toolto automatically rank and select candidates to the graduate program in Computer Science; since asignificantly high number of applications is submitted to this program every semester.The proposed DEA model in this study aims at (i) accepting students (a) with efficiency scores equalor higher than a predetermined technical efficiency value or (b) up to a given number, (ii) comparingthe accepted students with the DEA model results, and, (iii) preparing a base to observe the
Paper ID #21645Overriding Tradition? An Initial Exploration of the Intersection of Institu-tional and Disciplinary Cultures from the Student PerspectiveMr. Ashish Agrawal, Virginia Tech Ashish Agrawal is a PhD candidate in the Department of Engineering Education at Virginia Polytechnic Institute and State University. He did his B-Tech from Indian Institute of Technology Roorkee and his MS from Virginia Polytechnic Institute and State University, both in Electric Engineering. His research inter- ests include experiences of international faculty and students in US classrooms, sociology of education, and critical and
Paper ID #33572”You Could Take ’Social’ Out of Engineering and Be Just Fine”: AnExploration of Engineering Students’ Beliefs About the Social Aspects ofEngineering WorkMr. Robert P. Loweth, University of Michigan Robert P. Loweth is a PhD candidate in the Department of Mechanical Engineering at the University of Michigan. His research explores how engineers engage and include diverse perspectives in their engineer- ing work. His findings have informed the development of tools and pedagogy that support engineering students in investigating and reflecting on the broader societal contexts and impacts of engineering ac
Paper ID #30038Analyzing Changes in Student Graph Reasoning and Comprehension Re-gardingGraph Axis PresentationMr. Justin Cory Willis, University Of Maine- Orono Justin Willis is a Graduate Instructor at the University of Maine, for the Mechanical Engineering Tech- nology department. He is also a graduate student in UMaine’s Master of Science in Teaching program, and a volunteer math tutor for students and adults in Old Town, ME. Research interests include statistics education in engineering applications, and career and adult education.Dr. Brett D. Ellis, University of Maine Dr. Brett Ellis, P.E. is an Assistant
attest to study results by signing the paper. Page 25.864.5 In sum, the study seeks to explore how interdisciplinary a body of engineering educationresearch is in terms of diversity (SCs distribution), network coherence (co-authorship), andauthorship trends across research typologies, using bibliometric methods.MethodsData Collection of Lifespan-related Engineering Education Research In this study the authors used two bibliometric methods, (a) Web of Science SubjectCategories (SCs) analysis and (b) co-authorship analysis, to investigate the interdisciplinarychanges in engineering education research during 1980-2009. As in
-two percent of participants planned to attend graduate school in the second-yearsurvey (Table 3). Overall, about half of respondents reported intending to obtain employmentin their STEM field upon graduation with a B. S. degree (Table 3). 9 Table 2. Number of College Credits Earned by OMEGA Recipient Respondents by Percentages at the Time of the Surveys. # 2014-15 2015-16 Credits Cohort Cohort n=26 of 29 n=34 of 35 91 and > 35% 36% 61-90 23
Medical Education, New York, N.Y., Springer, 1980.17. Barrows, H. S., “Problem –Based Learning in Medicine and Beyond: A Overview,” in Wilkerson, L. and W.H. Gijselaers, eds., New Directions for Teaching and Learning, no. 68,pp.3-11, San Francisco, Cal.: Jossey-Bass Publishers, 1996,18. Woods, D.R., Problem –Based Learning: How to Gain the Most from PBL, Waterdown, Ontario: Donald R. Woods, 1994.19. Allen, D. E., Duch, B. J., and Groh, S. E., “The Power of Problem-Based Learning in Teaching Introductory Science Courses,” in Wilkerson, L. and W.H. Gijselaers, eds., New Directions for Teaching and Learning, No. 68, pp.3-11, San Francisco, Cal.: Jossey-Bass Publishers, 1996.20. Tan, O.S., Problem-Based Learning
shared practice: Design engineers’ learning at work. Jyvaskyla Studies inEducation, Psychology and Social Research, Jyvaskyla.22. ibid., p. 12.23. ibid., p. 27.24. ibid., p. 28.25. Schrage, Michael. (2000). Serious Play: How the World’s Best Companies Simulate to Innovate. HarvardBusiness School Press, Boston MA.26. Trevelyan, J. (2007). Technical coordination in engineering practice. Journal of Engineering Education, 96 (3),p. 191.27. ibid., p. 191.28. Jonassen, D., Strobel, J., Lee, C., B. (2006). Everyday problem solving in engineering: lessons for engineeringeducators. Journal of Engineering Education, 95 (2), pp. 139-151.29. Korte, R., Sheppard, S., & Jordan, W. (2008). A qualitative study of the early work experiences of
able to use it in some kind of application or other context later on.” [person B] “…you have kind of the ambition or drive to um, be kind of in a continuous state of improvement, um, I don’t think that it necessarily means you’re learning useless things everyday that you’re never going to use, but kind of like, I look at it as continuously bettering yourself in your trade or the parts of your life where it kind of benefits you.” [person X]Managing the Act of LearningIn this category, the learning rather than happening from some sort of top-down modelwith the learner at the top, is experienced with the learner in the middle managing all ofthe various actions and interactions. The learners view themselves as
, 13(1), 1-12, 2009. doi:10.1037/a0013688[21] Carson, S., Peterson, J. B., & Higgins, D. M. Reliability, Validity, and Factor Structure of the Creative Achievement Questionnaire. Creativity Research Journal, 17(1), 37-50, 2005. doi:10.1207/s15326934crj1701_4[22] Torrance, E. P. Predictive Validity of the Torrance Tests of Creative Thinking. Journal of Creative Behavior, 6(4), 236-252, 1972.[23] Torrance, E. P. Torrance Tests of Creative Thinking. Lexington, Massachusetts: Xerox Corporation, 1974.[24] Amabile, T. M. Social Psychology of Creativity: A Consensual Assessment Technique. Journal of Personality and Social Psychology, 43(5), 997-1013, 1982.[25] Cropley, D., & Kaufman, J. C. Measuring
questions: (a) Does the gender or immigration status have any relation with the participation of undergraduates in research? (b) Can the college year and GPA be an indicator of students’ interests in UR? (c) Is there any trend in future career focus for students who engage in UR? (d) Does participating in UR help in their professional development? (e) What kind of research expectation(s) are logical as an outcome from small research grants for a period of a semester to a year? (f) Does UR promote faculty development as well in teaching – focused universities?ResultsResults of the 13 projects undertaken by faculty are presented in the table 1 provided in theappendix.Table 1: Summary of the undergraduate research
, no.2, April 2000, pp.119-122. 6. Bloom, B.S., Taxonomy of Educational Objectives: The Classification of Educational Goals by a Committee of College and University Examiners, McKay Co., Inc., New York, NY, 1956, pp.189-193. 7. Kolb, D.A., “Experiential Learning: Experience as the Source of Learning and Development,” Prentice Hall, Englewood Cliffs, CA, 1984 8. Frederick, Peter J., “Student Involvement: Active Learning in Large Classes,” In Teaching Large Classes Well, edited by M.G.Weimer. New Directions for Teaching & Learning no.32, Jossey-Bass, San Francisco, Ca, 1987. 9. Millis, B., and Cottell Jr. P., “Cooperative Learning for Higher Education Faculty,” American Council on Education
, instructors can demonstrate that they care about students’general well-being and welfare.According to Jones16, the more that instructors can do to address all of the components in acourse, the more likely that they will be at successfully motivating all of their students. For thepurposes of the present study, we focused on the usefulness component of the model because: (a)this component is not well understood and “deserves more attention” (p. 64) 28, and (b) valuessuch as usefulness can be especially important in predicting engineering students’ desires topursue a career in engineering 15. As noted previously, the usefulness component involves theextent to which students believe that coursework (e.g., assignments, activities, and readings) hasutility
operationalized educational change in termsof the three main transformative categories of “core,” “social,” and “external” we looked at whatpercentage of rubric items investigators included in proposals, what areas were included themost, and if there were specific items on the rubric that were always or rarely addressed.Table 1 shows the percentage of proposals that included NSF criteria items for the funded andnon-funded proposals for each of the two years. The items are grouped according to aspects ofintellectual merit, broader impact, and dissemination methods. The most common items relatingto the NSF criteria that were present in the project summary included a) having an organizedplan for the project and b) that the final product would enhance
Paper ID #30380Understanding how Novice Indian Faculty Engage in Engineering EducationResearchMr. Javeed Kittur, Arizona State University Javeed Kittur is currently a doctoral student (Engineering Education Systems & Design) at Arizona State University, USA. He received a Bachelor’s degree in Electrical and Electronics Engineering and a Mas- ter’s degree in power systems from India in 2011 and 2014 respectively. He has worked with Tata Con- sultancy Services as Assistant Systems Engineer from 2011-2012, India. He has worked as an Assistant Professor (2014 to 2018) in the department of Electrical and Electronics
other participants wrote specifically that up-to-date technology was associated withexcellence.Another component of excellence that five participants of this study mentioned, was the issue ofcommunity, four of whom also ranked it as one of the five most important issues regardingexcellence in engineering education. The ideas that were summarized under community were interms of contributing and impacting the community, having excellence in the educationalcommunity and in its people/students/peers, and having a community of engineers. Closelyexamining the definition of the word “community” on the dictionary 23 we can find thefollowing: (a) unified body of individuals; (b) the people with common interests living in aparticular area; (c) an
. 95, no. 2, pp. 139- 151, 2006.[3] S. Shehab, “Collaborative problem solving in higher education classrooms: Exploring student interactions, group progress, and the role of the teacher,” Ph.D dissertation, College of Education, University of Illinois Urbana-Champaign, 2019.[4] L. Lawrence, “The design process of a collaborative orchestration tool and its implications for instructor uptake” Ph.D dissertation, College of Education, University of Illinois Urbana-Champaign, 2020.[5] P. Dillenbourg and P. Jermann, “Technology for classroom orchestration,” in New science of Learning. New York, NY: Springer, 2010, pp. 525-552.[6] K. Holstein, B. M. McLaren, and V. Aleven, “Designing for complementarity