EducationalPsychology, vol. 101, no. 4, pp. 817–835, Nov. 2009[2] D. L. Shea, D. Lubinski, and C. P. Benbow, “Importance of assessing spatial ability inintellectually talented young adolescents: A 20-year longitudinal study.” Journal of EducationalPsychology, vol. 93, no. 3, pp. 604–614, 2001[3] S. A. Sorby, “Educational Research in Developing 3‐D Spatial Skills for EngineeringStudents,” International Journal of Science Education, vol. 31, no. 3, pp. 459–480, Feb. 2009[4] H. Wauck, B. S. Woodard, Z. Xiao, T. W. Li, and B. P. Bailey, “A Data-Driven,Player-Centric Approach to Evaluating Spatial Skill Training Games,” in Proceedings of theAnnual Symposium on Computer-Human Interaction in Play, Virtual Event Canada, Nov. 2020,pp. 349–361[5] Z. Xiao et al., “A
Chair of FIE’2008, Interna- tional Chair of FIE’2009, International Chair of FIE’2010 and International Chair of FIE’2011. She also participated as a member of committees in the ”International Conference on Telematics and Web-Based Education” (TELEMTICA’2001) in Saint Petersburg, Russia, ”International Conference on Manufactur- ing” (PCM’2000) in Detroit, USA and PCM’2002 in Bangkok, Thailand, ”Global Conference on Manu- facturing and Management” (GCMM’2004) in Vellore, India, GCMM’2008 in Surfers Paradise, Australia, GCMM’2010 in Bangkok, Thailand, ”International Conference on Information Technology Based Higher Education and Training” (ITHET’2002) in Budapest, Hungary, ITHET’2003 in Marakech, Morocco, ITHET
Princeton University.Patricia Gaspari-Bridges, Princeton University Patricia Gaspari-Bridges is Head of the Science and Technology Libraries and Assistant University Librarian for the Special Libraries Department at Princeton University. She has spent over twenty-five years in science and technology librarianship at Princeton, and continues to hold positions as Geosciences and Map Librarian and Head of the Peter B. Lewis Science Library. Before joining Princeton, she worked in various library positions, including at the University of Pennsylvania in Philadelphia. She earned a B.A. at the University of Pennsylvania and an MLS from Rutgers University
was 69%with a standard deviation of 13%. There is no statistically significant difference between theseresults (p = 0.49), so we have combined the populations for the item analysis presented in Table2.Table 2. Item analysis of the TRCV v1.0 administered to 59 students at WCC and WWU in fall2018. The correct answer is in boldface. NA indicates students did not answer the question. Difficulty Point-biserial Item Description Index Correlation A B C D NA 1 2D position vector components 0.85 0.31 2 7 0 50 0 from length and angle given on annotated photo 2 Vector addition in 2D from
“Excellent,” 16% were “Good,” <1% were “Average,”and none were “Fair” or “Poor.” As gratifying as this level of participant satisfaction is, however,it provides no real indication of what the workshop has actually accomplished. In the spring of2008, we designed and administered a survey to all of the NETI participants in the 1993–2006offerings whose contact information we could find. The survey—hereafter referred to as theNETI Alumni Survey—is shown in Appendix B. It asks the participants about their teachingpractices, their students’ and their own ratings of their teaching, the effects of the NETI on boththeir practices and their ratings, their involvement in educational research and instructionaldevelopment, and several demographic questions
the29 students attending that remote lab. The feedback from the students provided in the remarkssection showed a ubiquitous complaint from most students about the remote instruction, more thanany other aspect of the remote lab. This proved the previous inference that the teaching assistantsneeded more detailed training to apply remote learning techniques. (a) Students satisfaction (b) Students preferences Would have Preferred Satisfied deferred remote Unsatisfied Both are
directed.Despite instructors’ aspirations, students who have mastered the procedural tasks for a givenexam – and even those who have gained a deep understanding of the relevant concepts – stillmake errors when working out answers to exam questions. Different types of exams handle thesemistakes differently. For the purpose of this paper, common math exam types are categorizedinto three groups: 1) essay, 2) multiple choice, and 3) computer assisted. These types varyprimarily along parameters of a) scoring entity and b) partial credit. Exam type is often selectedalong these parameters for practical reasons such as class size and grading time required (seeCherkas and Roitberg [2]).The possibility for exams to be used as formative assessments exists. One well
ModelDepicting the ABET Engineering Criteria in this way allows us to recognize the parallelsbetween the individual Engineering Criteria criterion and the elements of ISO 9001:2015 [8].This in turn allows us to apply the tools and concepts of quality to each Criterion.Engineering Program as a Process ISO 9001:2015 “promotes the adoption of a process approach when developing,implementing and improving the effectiveness of a quality management system. The processapproach involves the systematic definition and management of processes and their interactionsso as to achieve the intended results.”[8] Such an approach enables: a. understanding and consistency in meeting requirements; b. consideration of processes in terms of added value; c
groups passed through an ‘overcoming discomfort period’ trying to get toknow each other and build rapport between team members.Based on motivation and class performance. In another semester of the highway engineeringcourse, student groups were assigned based on their motivation levels and class performance atthe transportation engineering class that was a prerequisite for the highway engineering class.Highly motivated students with Transportation Engineering course grade “A” or “B”, wereassigned in groups with less motivated students with grades “C”, and “D”. It should be statedthat, here, highly motivated students were all the ones who expressed an interest in transportationengineering and wanted to do well in the related courses. Also, all
, D., Bogue, B. (2009). “Women Engineering Students and Self-Efficacy: A Multi-Year, Multi-Institution Study of Women Engineering Student Self-Efficacy.” Journal of Engineering Education, 98(1), 27-38 Page 22.740.86. Frehill, L. (2004). “The Gendered Construction of the Engineering Profession in the United States, 1893-1920.” Men and Masculinities, 6(4), 383-4037. Tonso, K. (1996) “The Impact of Cultural Norms on Women.” Journal of Engineering Education, 85(3), 217- 2258. Carter, R., and Kirkup, G (1990). Women in Engineering: A Good Place to Be? London: Macmillan Education, Ltd., 1990, p. 1
evaluation when compared tothe APOS theory classification for quantitative classification. We invite other researchers to apply thetechniques that we used and introduced in this work to other empirical data sets for attaining measurableoutcomes.References[1] Asiala, M., Brown, A., DeVries, D. J., Dubinsky, E., Mathews, D., & Thomas K. (1997). A framework forresearch and curriculum development in undergraduate mathematics education. In J. Kaput, A. H. Schoenfeld,& E. Dubinsky (Eds.), Research in collegiate mathematics education II (p/. 1-32). Providence, RI: AmericanMathematical Society and Washington, DC: Mathematical Association of America. [2] Baker, B., Cooley, L., & Trigueros, M. (2000). A calculus graphing schema, Journal for
to help practitioners navigate their careers, help practitioners betterunderstand their students and colleagues, and help administrators/mentors develop an asset-basedand systemic-based understanding of neurodivergence.References[1] H. B. Rosqvist, N. Chown, and A. Stenning, Neurodiversity Studies: A New Critical Paradigm. Taylor & Francis Group, 2020.[2] A. Cuellar, B. Webster, S. Solanki, C. Spence, and M. A. Tsugawa, “Examination of Ableist Educational Systems and Structures that Limit Access to Engineering Education through Narratives,” presented at the 2022 ASEE Annual Conference & Exposition, American Society for Engineering Education, 2022.[3] T. Sorg, “Where are We, and Where to Next? ‘Neurodiversity’ in
Undergraduate and Graduate Students this Skill as Part of TheirFormal Scientific Training. Journal of Undergraduate Neuroscience Education, 12(1), E6–E10.Burt, B. A. (2020). Broadening participation in the engineering professoriate: Influences onAllen’s journey in developing professorial intentions. Journal of Engineering Education, 109(4),821–842. https://doi.org/10.1002/jee.20353Burt, B. A., & Johnson, J. T. (2018). Origins of early STEM interest for Black male graduatestudents in engineering: A community cultural wealth perspective. School Science andMathematics, 118(6), 257–270. https://doi.org/10.1111/ssm.12294Burt, B. A., Williams, K. L., & Smith, W. A. (2018). Into the Storm: Ecological andSociological Impediments to Black Males
both basic and advanced topics in systems and control theory, mechatronics andhaptics.38 Figure 1 shows the San Francisco State University Haptic Paddle. The devicedemonstrates a modular design using laser-cut acrylic that is easily and inexpensivelymanufactured. It incorporates a timing belt-drive transmission, and includes an Arduino-basedsolution to data acquisition and motor drive electronics. It is powered by a standard computerpower supply (not shown). (a) (b)Figure 1. The Haptic Paddle design finalized by the Mechanical Engineering group. (a)SolidWorks model. (b) Manufactured unit.The group made significant improvements to the mechanical design, enhancing robustness
program. Allstudents that participated in and completed the Summer 2013 program received a B or better intheir physics course, however at this point in time there is a need for more iterations of theprogram and student participation to have conclusive statistically significant results.Recruitment for the winter 2014 week long mini-jam has already improved over the summersession. All thirty participating students are enrolled in a first or second semester calculus basedphysics course for spring 2014. Special care was taken to directly recruit students that weresigned up to take a course in the spring, or were currently enrolled in a qualifying course(Physics 1 or Calculus 1.) To increase enrollments campus-wide advertising was done viasignage and
]. [7] S. Burgstahler, M. Cakmak, K. Steele, and B. Blaser, “Equal Access: Universal Design of Engineering Labs,” Access Engineering, n.d. [Online]. Available: https://www.washington.edu/doit/sites/default/files/atoms/files/EA_UD_Engineering_Labs.pdf. [Accessed: 02-Feb-2018]. [8] S. Burgstahler, M. Cakmak, K. Steele, and B. Blaser, “Making a Makerspace? Guidelines for Accessibility and Universal Design,” Access Engineering. [Online]. Available: https://www.washington.edu/doit/sites/default/files/atoms/files/Making_a_Makerspace_8_03_15.pdf. [Accessed: 02-Feb-2018]. [9] L. Hilliard, P. Dunston, J. McGlothlin, and B. S. Duerstock, “Designing Beyond the ADA-Creating an Accessible Research Laboratory for Students and Scientists with Physical
delivery Instructor Google This file recorded instructor availability for covering each contact info Spreadsheet section in an emergency, contact information of each with multiple instructor, instructor expertise, office hours attendance, grade sheets averages, grade disputes for common tests, and more. Feedback Google This file shared feedback regarding each class lesson. We about classes Documents asked instructors to voluntarily complete: A) Suggestions of things to consider before teaching B) Feedback from those who have already taught
recommendations expressed in this material are thoseof the authors and do not necessarily reflect the views of the National Science Foundation.Bibliography 1. Tinto, V. (1975). Dropouts from higher education: A theoretical synthesis of recent literature. Review of Educational Research, 45, 89-125. 2. Tinto, V. (1987). Leaving college: Rethinking the causes and cures of student attrition. Chicago: University of Chicago Press. 3. Kuh, G. D., Kinzie, J., Buckley, J. A., Bridges, B. K., & Hayek, J. C. (2006). What matters to student success: A review of the literature. Retrieved on June 1, 2014 from: http://nces.ed.gov/npec/pdf/kuh_team_report.pdf 4. Bedard, K., & Kuhn, P. (2005). Where class size
-learning-community[9] P. Corey Kiassat and M. Ben-Avie, “Work in Progress: Engineering First-Year Academy to Help Underprepared Students,” presented at the 2022 ASEE Annual Conference & Exposition, Aug. 2022. Accessed: May 15, 2025. [Online]. Available: https://peer.asee.org/work-in-progress-engineering-first-year-academy-to-help-underprepared- students[10]A. L. Gillen, J. R. Grohs, H. M. Matusovich, and G. R. Kirk, “A multiple case study of an interorganizational collaboration: Exploring the first year of an industry partnership focused on middle school engineering education,” J. Eng. Educ., vol. 110, no. 3, pp. 545–571, 2021, doi: 10.1002/jee.20403.[11]B. Graven, P. A. Ralston, and T. Tretter, “First-year
expressed by the participants, and it has been validated with all panel members beforethe finalizing. Duties Tasks Research A-1 Review A-2 Establish A-3 A-4 Obtain A-5 Review A Assigned work system Prioritize assigned system instruction stakeholders work TWD history Shipboard instruction Systems B-1 Obtain B-2 B-3 Identify B-4 Simulate B-5 Perform B Evaluate job-specific Investigate
Bioengineering and Director of the Engineering Education Research Center at Washington State University. He has led numerous multidisciplinary research projects to enhance engi- neering education. He currently leads projects creating and testing assessments and curriculum materials for engineering design and professional skills, especially for use in capstone engineering design courses. He has been a Fellow of the American Society for Engineering Education since 2002.Paul B Golter, Washington State University Paul B. Golter obtained an MS from Washington State University and recently defended his PhD degree and is currently the Laboratory Supervisor in the Voiland School of School of Chemical Engineering and Bio-engineering
to jigsaw the activities inLab 1 so that each team has a member that has tried each coffee brewing method.AcknowledgementWe thank David Long, Brandon Riggs, and A. Freed at Rising Star Coffee Roasters for their helpdeveloping this module.References[1] W. Ristenpart and T. Kuhl, The Design of Coffee : An Engineering Approach, 2 nd ed., Ristenpart / Kuhl Publishing, 2016.[2] J. Menicucci, J. Duffy, and B. Palmer, “Hands on Introduction to Chemical and Biological Engineering” in Proceedings, 2007 ASEE Annual Conference & Exposition, June 2007 Honolulu, Hawaii.[3] S. Lee and H. Dillon, “Steeped in Engineering: Using Coffee to Introduce Students to Engineering” in Proceedings, 2023 ASEE PNW Section Conference, Gonzaga University
racializedorganizations maintain structures of hierarchy that work despite any individual’s desire topromote equity. Avoiding discussion of race allows those structures to continue to work. It isonly by naming racialized practices that they can begin to be dismantled.AcknowledgementsFunding was provided by NSF grant EEC-1827377.References[1] J. R. Feagin and M. P. Sikes, Living with racism: The Black middle-class experience. Boston: Beacon Press, 1994.[2] D. A. Thomas and J. J. Gabarro, Breaking through—the making of minority executives in corporate america. Brighton, MA: Harvard Business Review Press, 1999.[3] P. B. Jackson, P. A. Thoits, and H. F. Taylor, "Composition of the workplace and psychological well-being: The effects of
Education, vol. 101, no. 3, pp. 439–468, Jul. 2012.[6] M. Ing and C. Victorino, “Differences in Classroom Engagement of Asian American Engineering Students: Classroom Engagement and Asian American Students,” J. Eng. Educ., vol. 105, no. 3, pp. 431–451, Jul. 2016.[7] R. Chang, “3. Why We Need a Critical Asian American Legal Studies,” in 3. Why We Need a Critical Asian American Legal Studies, New York University Press, 2000, pp. 48–60.[8] S. D. Museus and P. N. Kiang, “Deconstructing the model minority myth and how it contributes to the invisible minority reality in higher education research,” New Directions for Institutional Research, vol. 2009, no. 142, pp. 5–15, Mar. 2009.[9] B. H. Suzuki, “Education and the Socialization of Asian
and Behavior, 10(C), 103–152. http://doi.org/10.1016/S0065-2407(08)60009-9Chi, M. T. H. (2008). Three types of Conceptual Change: Belief Revision, Mental Model Transformation, and Categorical Shift. International Handbook of Research on Conceptual Change, 61–82.Jorion, N., Gane, B., DiBello, L., & Pellegrino, J. (2015). Developing and Validating a Concept Inventory. In 2015 ASEE Annual Conference and Exposition Proceedings (pp. 26.497.1– 26.497.12). Seattle: ASEE Conferences. http://doi.org/10.18260/p.23836Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). Ann Arbor: University of Michigan
test that fails," Nature, vol. 510, pp. 303-304, 6/12/2014 2014.[3] K. G. Stassun, S. Sturm, K. Holley-Bockelmann, A. Burger, D. J. Ernst, and D. Webb, "The Fisk-Vanderbilt Master’s-to-Ph.D. Bridge Program: Recognizing, enlisting, and cultivating unrealized or unrecognized potential in underrepresented minority students," American Journal of Physics, vol. 79, no. 4, pp. 374-379, 2011/04/01 2011.[4] R. Sowell, T. Zhang, B. N, and R. K, "PhD. Completion and Attrition: Analysis of Baseline Demographic Data from the Ph.D. Completion Project," Council of Graduate Schools2008.[5] (1/31/2019). National Science Foundation, National Center for Science and Engineering Statistics, Survey of Earned
., Personal Interview, 2007.14. C. G. Gould and K. Pearce, Information Needs in the Sciences: an Assessment, Mountain View, CA: The Research Libraries Group, 1991.15. B. Sinclair, "Local History and National Culture: Notions on Engineering Professionalism in America," in in The Engineer in America: A Historical Anthology from Technology and Culture, T. S. Reynolds, ed., Chicago, IN: University of Chicago Press, 1971.16. Emmerson, G.S., Engineering Education: A Social History, New York: Crane, Russak, 1973.17. United Engineering Foundation, , accessed Feb. 21, 200818. E. T. J., Layton, "Mirror-Image Twins: The Communities of Science and Technology in 19th-Century America," in The Engineer in America: A
Institute for Artificial Intelligence (AI). Her career in higher education began at Howard University as the first Black female fac- ulty member in the Department of Computer Science. Her professional experience also includes Winthrop University, The Aerospace Corporation, and IBM. She is a graduate of Johnson C. Smith University (B.S., ’00) and North Carolina State University (M.S., ’02; Ph.D., ’05), becoming the first Black woman to earn a Ph.D. in computer science at the university and 2019 Computer Science Hall of Fame Inductee.Shaundra Bryant Daily, Duke University Shaundra B. Daily is the Cue Family professor of practice in Electrical and Computer Engineering & Computer Science at Duke University and Levitan
-regulation tactics on sales performance: A longitudinal field test," Journal of Applied Psychology, vol. 84, no. 2, p. 249, 1999.[7] M. Basadur, G. B. Graen, and S. G. Green, "Training in creative problem solving: Effects on ideation and problem finding and solving in an industrial research organization," Organizational Behavior and Human Performance, vol. 30, no. 1, pp. 41-70, 1982.[8] W. G. Hunter, "Some ideas about teaching design of experiments, with 25 examples of experiments conducted by students," The American Statistician, vol. 31, no. 1, pp. 12-17, 1977.[9] J. R. Mohrig, "The problem with organic chemistry labs," Journal of Chemical Education, vol. 81, no. 8, p. 1083, 2004.[10] J. R. Flora and
Paper ID #30878Towards creating motivationally supportive course structures forintroductory calculusDr. Paran Rebekah Norton, Clemson University Paran Norton is a lecturer in the School of Mathematical and Statistical Sciences at Clemson Univer- sity. She received her B.S. degree in Mathematics from the University of North Georgia in 2013, her M.S. degree in Mathematical Sciences from Clemson University in 2015, and her Ph.D. in Engineering and Science Education from Clemson University in 2020. She has taught introductory mathematics and statistics courses at Clemson University. Her primary research focuses on improving