lowest in Year 2. Figure 3(a) and (b) shows the three years of course section averages for the lab memo and lab report,respectively. From here the improvement in the lab memo distribution from Year 1 to Year 2 isclearly shown. The program average and +/- 1 standard deviation is displayed. Each data pointcorresponds to a course section average for that assignment. The data depicted in Figure 3clearly demonstrates an improvement (i.e. decrease) in the standard deviation between Year 1and Year 2 for both technical writing assignments. The average grades for these assignments alsodecreased slightly across the program. Page 26.667.8
analysis indicates that this trend has been consistent for atleast the last three decades [24]. b. Testing Bias. Maeda & Yoon added that some of this research was influenced by other factors beyondspatial skills such as testing procedure and measurement bias against females such as providingtest time limitations [17]. In an earlier study, they recognized that testing affected the magnitudeof the gender difference gap. They noted that the gender difference increases in favor of malestudents if there was time pressure due to the testing instrument as compared to no time. Thus,the testing results would include a measurement error due to procedural bias [17]. The procedural impact on gender differences is of
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 &
Conference on Select 2016 BCCE Presentations: Tracking Student Use of Web-Based Resources for Chemical Education,” J. Chem. Educ., vol. 94, no. 12, pp. 2010–2012, 2017.[3] 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.[4] M. Nelson, S. Pearson, N. Pearson, J. Major, A. Godwin, and A. Kirn, “Using Social Network Analysis to Study the Social Structures of Inclusion Using Social Network Analysis to Study Inclusion in the Engineering Classroom,” 2018.[5] M. Saqr, U. Fors, and J. Nouri, “Using social network analysis to understand online
AC 2012-3397: PLAYING THE TA LOTTERY: A STUDY OF HOW TEACH-ING ASSISTANTS IMPACT GRADES IN ENGINEERING COURSESSean Franey, University of Wisconsin, Madison Sean Franey is a graduate student at the University of Wisconsin, Madison. He is currently working in the PHARM research group under Prof. Mikko Lipasti, joining in Sept. 2010. His research interests include improving the performance and efficiency of data movement in multi-node systems, specifically in the GPGPU realm. His path to UW, Madison, lead through four years on the aircraft carrier USS George Washington in Norfolk, Va., receipt of a B.S. degree from Old Dominion University in computer engineering, and an M.S. degree in electrical engineering from UW
students, and (3) a more advanced version of the latter two workshops would be usefulfor the senior graduate students (and possibly, the post-doctoral researchers). (a) (b)Figure 1. Professional development: (a) workshop on library skills and (b) resume/vitae writingworkshop.Improvement of communication skills involved three programs. First, the weekly presentationsby individual graduate students were continued in 2010-2011. Second, a new focus onimproving general writing skills was addressed by the hiring of three “wordsmiths,” seniorEnglish majors who acted as writing tutors to the group. The Graduate Student Council leadersand the wordsmiths worked together, creating a curriculum
structure of the enduring understanding and important to know content(Figure 3).I used the revised Bloom's taxonomy3 to generate and organize learning objectives for theFSMFE course. I used a matrix of the cognitive domain versus the knowledge domain as a visualtool to display weekly learning objectives. The purpose of this tool was to make the alignmentbetween the learning objectives and curricular priorities explicit. For example, I reviewed thematrix of weekly learning objectives to ensure that a) the number of objectives was appropriateand represented a reasonable workload for students (e.g., typically 5-8 objectives each week);and b) learning objectives relating to enduring understanding and important to know content
. Corbin, J., & Strauss, A. (2014). Basic of qualitative research: Techniques and procedures for developing Grounded Theory. 2014: Thousand Oaks, CA: Sage.19. Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (4th ed.). Boston, MA: Pearson Education Inc.20. Tinto, V. (1993). Leaving College: Rethinking the Causes and Cures of Student Attrition.21. Meyer, M., & Marx, S. (2014). Engineering dropouts: A qualitative examination of why undergraduates leave engineering. Journal of Engineering Education, 103(4), 525-548.22. Bean, J., & Eaton, S. B. (2001). The psychology underlying successful retention practices. Journal of College Student
American (7.7%), Hispanic (15.2%), Asian (17.6%), Female (20.7%), LSES (14.6%). Supplemental Instruction can now be counted as one of the many programs that successfullydecreases the academic performance gap between ethnic minority students and Caucasians. Thisgap was decreased to within 3% of course averages for all groups excluding African Americans.One of the most surprising things about these findings is that the SI program was not designed togive additional benefit to minority, female, or low-socioeconomic students. Through activelearning and inclusion, the SI program at LSU has shown to have a substantial impact on allpopulations of students7 References[1] E. Brothers, B. Knox, “Best Practices in Retention of Underrepresented
). Professional Development Topic Mean Interest a Networking 3.59 b Preparing grants & proposals 3.54 c Developing research skills 3.50 d Preparing for jobs in academe/Understand the job market 3.41 e Introducing teaching-related innovations in the classroom 3.39 f Preparing scientific publications 3.37 g Interviewing skills & negotiating job offers 3.30 h Developing a course
response to feedback from “Dr. Jacobson” (see second anecdote below), we spent almost anentire meeting debating over whether or not to describe the upper-level administrator’s watch as:a) “flashy”, which was Michael’s original, immediate observation and visceral reaction, b) “whatlooks like an expensive watch”, or c) to simply leave this part of the story out altogether. Thosein favor of option “a” felt that it was important to highlight the difference between Michael’sprior life experiences and the level of privilege that such watches represent to him. At the sametime, we all agreed that the use of the word “flashy” served to set the anecdotes as immediatereactions captured in Michael’s natural voice apart from the other more formally written
unstructured epistemological realm of its own in which “anyone has a right to his own opinion,” a realm which he sets over against Authority’s realm where right-wrong still prevails, or (b) the student discovers qualitative contextual relativistic reasoning as a special case of “what They want” within Authority’s realm. Position 5: The student perceives all knowledge and values (including authority’s) as contextual and relativistic and subordinates dualistic right-wrong functions to the status of a special case, in context. Position 6: The student apprehends the necessity of orienting himself in a relativistic world through some form of personal Commitment (as distinct from unquestioned or unconsidered commitment to simple belief in
Paper ID #18205Developing a Robust Teaching Portfolio as a Doctoral Student in a Research-Intensive Engineering ProgramDr. Anahid Behrouzi, California Polytechnic State University - San Luis Obispo Anahid Behrouzi is a new assistant professor at Cal Poly - San Luis Obispo and recently completed her doctoral degree in civil engineering at the University of Illinois at Urbana-Champaign. She has been involved with STEM education beginning in 2003 as a volunteer and summer instructor with the North Carolina Museum of Life and Science. She has been engaged with undergraduate/ graduate course deliv- ery in the topic areas of
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
’ experiences and may retain women inengineering. It also presents new data to show that instead of just discussing the social or thetechnical factors of an engineering concept separately, but the two combined together, can affectstudents’ sense of belonging and attitudes toward engineering, especially for female students.However, future research is still needed to get a more complete understanding of the effects thata sociotechnical approach can have on engineering students’ sense of belonging/attitudes towardengineering.References[1] B. Cohen and K. L. Sanford Bernhardt, "Introducing Engineering as a Socio-technical Process," in Proceedings of the ASEE Annual Conference & Exposition, Indianapolis, IN, USA, 15-18 June, 2014.[2] National Academy
MacDougall Saylor for her invaluable experience withsystematic reviews and guidance in developing the search protocol. References[1] S. Lipson, S. Zhou, B. Wagner, K. Beck, and D. Eisenberg, “Major Differences: Variations in Undergraduate and Graduate Student Mental Health and Treatment Utilization Across Academic Disciplines,” Journal of College Student Psychotherapy, 30(1), pp.23-41, 2015.[2] M. Schmidt and E. Hansson “Doctoral students’ well-being: a literature review,” International Journal of Qualitative Studies on Health and Well-being, 13(1), p.1508171, 2018.[3] J. Hyun, B. Quinn, T. Madon and S. Lustig, “Graduate Student Mental Health: Needs Assessment and
personality factors do appear in STEMand FYE TA literature and that some TA personality factors may be linked to student successand retention in FYE and STEM.References[1] R. A. Louis and H. M. Matusovich, “Work in progress: Describing the responsibilities ofTeaching Assistants in first-year engineering programs,” 2012 Frontiers in EducationConference Proceedings, 2012.[2] M. Ohland, C. Brawner, X. Chen, and M. Orr, “A Comparative Study of EngineeringMatriculation Practices,” 2014 ASEE Annual Conference & Exposition Proceedings.[3] I. B. Myers and P. B. Myers, Gifts differing: understanding personality type. Palo Alto, CA:Davies-Black Pub, 2002.[4] D. Keirsey, Please understand me II. Del Mar: Prometheus Nemesis Book Company, 1998.[5] P. T. Costa
FFF printing, we must A) determine the OH = “OverHead” costs hard to determine how much of the machine cost goes into one rollquality of reclaimed plastics, B) determine the achievable consistency of the reclaimed 3) Consistency of Pulverized Plasticplastics, C) use this data to calculate the scalability of this process and its entrepreneurial
pandemic transition that a lot of students were having issues withbeing able to access their work. Indeed, that was because they didn't have adequate access tointernet at their home. Some students would tell me that they were only able to get internet at arelative's house, one day out of the week, in order to be able to do their work. The reason beingis that at they at their home, they didn't have the internet or they didn't have a computer. So, theywould have to go to their grandmother's or their aunt’s house to be able to do all theirassignments” (Research Participant 23) b) Student cheating behavior, cheating factors and prevention approaches During faculty interviews, student cheating was a common and serious complaint havinga
. Lannin and S. S. Nair, "Professional Skills in the Engineering Curriculum," IEEE Transactions on Education, vol. 53, no. 4, pp. 562-571, 2009.[4] B. Shulz, "The Importance of Soft Skills: Education beyond academic knowledge," Journal of Language and Communication, vol. 2, no. 1, pp. 146-154, 2008.[5] S. Kumar and J. K. Hsiao, "Engineers Learn "Soft Skills the Hard Way": Planting a Seed of Leadership in Engineering Classes," Leadership and Management In Engineering, vol. 7, no. 1, pp. 18-23, 2007.Appendix A.1: Polling survey sent to graduate students.Please rate your enthusiasm for the following workshop subjects. 1 = I would not attend, 2 =Uninterested, 3 = Neutral, 4 = Interested, 5 = Highly interested.________ Time Management
captured student demographics, awareness of topics, and 5-point Likert scales evaluating students’ familiarity, perceived importance, interest, and perceived relevance of HD and SDOH for drug delivery. Review papers on delivery systems written by groups of students were evaluated using inductive thematic analysis to capture codes related to the translation of DDS to society and potential HD and SDOH topics. Controlled with the same rubric and traditional course content, three group report sets (total N=23 reports) including the current cohort of students receiving HD and SDOH content (Semester A, N =8 reports) and previous cohorts (Semester B, N = 7 reports; Semester C, N = 8 reports; both without additional content) were
American Society for Engineering Education ByLaws, 20172. University of Puerto Rico Office of Institutional Planning and Continuous Improvement 2018-19 Data Enrolment. Downloaded from https://oiip.uprm.edu/dtos-estadisticos/3. B. L. Yoder, “Engineering by the numbers,” report for the American Society for Engineering Education, 20164. Robert G. Bringle & Julie A. Hatcher (1996) Implementing Service Learning in Higher Education, The Journal of Higher Education, 67:2, 221-239, DOI: 10.1080/00221546.1996.11780257
-753. doi:10.1007/s10956- 011-9362-8Creswell, J. W. (2013). Qualitative inquiry & research design: Choosing among five approaches (3rd ed.). Thousand Oaks: CA: Sage Publications, Inc.Honken, N., & Ralston, P. A. S. (2013). Freshman engineering retention: A holistic look. Journal of STEM Education: Innovations and Research, 14, 29-37.Inda, M., Rodríguez, C., & Peña, J. V. (2013). Gender differences in applying social cognitive career theory in engineering students. Journal of Vocational Behavior, 83(3), 346-355.Jones, B. D., Paretti, M. C., Hein, S. F., & Knott, T. W. (2010). An analysis of motivation constructs with first-year engineering students: relationships among expectancies, values
automotive applications. To make the leap from the research laboratory to new products, and thus new jobs,requires an educated and well qualified workforce that comprehends simultaneously (a) theinterdisciplinary principles of nanoengineering with the understanding of the unique andenabling properties at nanoscale and their associated nanoscale engineering and scientificprinciples (b) the implications that nanotechnology holds for not only revolutionizing thematerials and products used in daily life but to see nanotechnology’s promise for entirely newclasses of products as well, (c) the skill set required for managing the nanoengineered materialdevelopment, processing, design and nano-manufacturing procedures and (d) the ability tocommunicate
among GTFs, it may beuseful in future semesters to give a sample lesson or sample worksheet in core courses todemonstrate how LLs will be run, and all the possibilities for how LL sessions might go.Perhaps a description of the benefits of active learning, and the intended benefits of theLL program may be worth going explaining to first-year students the program is beingadvertised to.Figure 2. LL attendance and feedback across engineering disciplines. (a) Shows abreakdown of overall LL attendance across first-year engineering courses. (b) Quantifiesoverall LL attendance of students who progressed and did not progress betweensemesters. (c) Quantifies survey responses of whether or not the LLs were helpful while(d) summarizes the reasons for non
agreed to allow us to use them as data for future research.MethodologyDuring the FIE session, the groups were asked to create a map of the PhD process, keeping the followingquestions in mind: • Who are the Players and how do they relate to each other? • What are the Milestones? • What are the Events that impact the outcomes?Each of the group-created maps were photographed (included in Appendices B-F), then each element onthe map was transcribed for easier comparison across the different maps. The maps were compared byprocess (intellectual and institutional strand), identified characters (network strand), and the potentialchallenges. These were aligned with each other as well as the original analogy components from thespecial session (shown
Paper ID #26833Tips and Tricks for a More Effective You: Lessons Learned From a USAFACadetMr. Alexander Samaniego, United States Air Force Alexander is a second class cadet at the United States Air Force Academy, originally from San Diego, CA, who is working towards a bachelors of science in systems engineering.Martin Span III, United States Air Force Trae is the Deputy Director of the Systems Engineering Program and Instructor of Systems Engineering at the United States Air Force Academy (USAFA), Colorado Springs, Colorado. He is commissioned as Captain in the United States Air Force (USAF). In his role as Deputy Director
Paper ID #28576How to Be a Graduate Student (Before I Forget): A Collection ofExperiential WisdomDr. Stephen Secules, Florida International University Stephen is an Assistant Professor Engineering and Computing Education at Florida International Univer- sity. He has a prior academic and professional background in engineering, having worked professionally as an acoustical engineer. He has taught a number of courses on engineering and education, including courses on engineering design, systems in society, and learning theories. Stephen’s research interests include equity, culture, and the sociocultural dimensions of engineering
Paper ID #16862Leading Team Learning: Reflections of a Teaching AssistantMr. Brian E Faulkner, University of Illinois, Urbana-Champaign Brian Faulkner is a graduate student at the University of Illinois at Urbana Champaign. His interests include teaching of modeling, engineering mathematics, textbook design, and engineering epistemology. c American Society for Engineering Education, 2016 Leading team learning: Reflections of a Teaching Assistant Abstract Active learning models have been propagating through engineering education. As this process occurs, many graduate students must lead new forms
Paper ID #19000Getting Great Recommendation Letters: A Practical GuideDr. Katy Luchini-Colbry, Michigan State University Katy Luchini-Colbry is the Director for Graduate Initiatives at the College of Engineering at Michigan State University, where she completed degrees in political theory and computer science. A recipient of a NSF Graduate Research Fellowship, she earned Ph.D. and M.S.E. in computer science and engi- neering from the University of Michigan. She has published more than two dozen peer-reviewed works related to her interests in educational technology and enhancing undergraduate education through hands- on