andlearning new methodologies, such as Q methodology, engineering education researchers will beable to answer new questions, elicit new insights, and expand their skillsets.References[1] J. W. Creswell, Research design: Qualitative, quantitative and mixed methods approaches, 4th ed. Thousand Oaks, CA: SAGE Publications, Inc., 2014.[2] S. R. Brown, “A primer on Q methodology,” Operant Subj., vol. 16, no. 3/4, pp. 91–138, 1993.[3] W. Stephenson, The study of behavior: Q-technique and its methodology. Chicago, IL: University of Chicago Press, 1953.[4] I. Newman and S. Ramlo, “Using Q methodology and Q factor analysis in mixed methods research,” in SAGE Handbook of Mixed Methods in Social & Behavioral Research, 2nd
, nearly half (45%) of all high school seniors indicated an intent to study scienceand engineering (S&E), yet in the 2015 survey of full-time undergraduates, just more than onethird (37%) of undergraduate enrollments were in S&E programs, indicating there exists adisconnect between enrollment and graduation rates. In 2015, out of nearly two-millionbachelor’s degrees earned; less than one-hundred thousand were in engineering (5.2%)(NSB Appendix Table 2-21 [2]). “We are graduating fewer engineers now than 20 years ago,both in terms of absolute numbers and as a percentage of all college degrees” [3]. This is alsoreflected in the National Science Board (NSB) cohort study which identified that more than onein six (16.3%) of students who
needsstatements. The detailed descriptions of student conceptions and challenges described in thispaper can help support the shaping of this pedagogy.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1611687. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. The research team would also like to express their gratitude to Charlie Michaels,Tallie Ritter, Jessica Kahn, Tanner Jones, and Christian Casanova at the University ofMichigan’s Center for Socially Engaged Design for sharing and allowing us to use the needsstatement Why-How Laddering example shown in
. ReferencesBalsam, K. F., Molina, Y., Beadnell, B., Simoni, J., & Walters, K. (2011). Measuring multiple minority stress: the LGBT People of Color Microaggressions Scale. Cultural Diversity and Ethnic Minority Psychology, 17(2).Bruning, M. J., Bystydzienski, J., & Eisenhart, M. (2015). Intersectionality as a framework for understanding diverse young women’s commitment to engineering. Journal of Women and Minorities in Science and Engineering, 21(1), 1-26. https://doi.org/10.1615/JWomenMinorScienEng.2014007345Camacho, M. M., & Lord, S. M. (2011). "Microaggressions" in engineering education: Climate for Asian, Latina and White women. Proceedings - Frontiers in Education Conference, FIE, 1-6. https://doi.org
Engineering Education for the 21st Century," in Symposium on Engineering and Liberal Education, Schenectady, NY, 2010.[4] T. S. Isaac, O. J. Kolawole, A. A. G. Funsho and O. J. Adesiji, "Reviewing Engineering Curricula to Meet Industrial and Societal Needs," in 2014 International Conference on Interactive Collaborative Learning (ICL), Dubai, UAE, 2014.[5] M. F. Ercan and R. Khan, "Teamwork as a fundamental skill for engineering," in 2017 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Hong Kong, 2017.[6] K. Sheppard, P. Dominick and Z. Aronson, "Preparing Engineering Students for the New Business Paradigm of International Teamwork and Global Orientation," International Journal of
(the website will be included in thefinal paper. This website also contains details information about the project and theimplementation methodology).Data were collected to answer the following research questions:(a) To what extent does the pedagogical approach impact the attitudes of students towardsSTEM?(b) To what extent does the pedagogical approach improve the content knowledge of thestudents?(c) To what extent are teachers accepting and comfortable with the pedagogical approach?The Science/Math Teachers Efficacy Belief Instrument (S/MTEBI) [24] was used to measure theattitudes of the participant teachers. This 25-item instrument measures the Teacher EfficacyBelief (13 items) and Teaching Outcome Expectancy (12 items) dimensions on a 5
volume of waterwith solid body rotation can be shown to be ω 2 R14 h0 (3RR12 − R3 − 2R13 ) V = π[h1 R12 + + ] (2) 4g 3(R0 − R)where h1 (m) is the height of the water at the center of the frustum, ω (rad/s) is the angularvelocity, g (m/s2 ) is the acceleration due to gravity, and R1 (m) is the radius at the highestpoint of water. With the volume of water without rotation being the same as the volume ofwater with rotation (non-filtering assumption), the volume equation with rotation can beequated to the volume equation without rotation. With this, the resulting equation can
,” Cogn. Sci., vol. 35, no. 5, pp. 997–1007, 2011.[3] M. Alfano, A. Higgins, and J. Levernier, “Identifying Virtues and Values Through Obituary Data-Mining,” J. Value Inq., vol. 52, no. 1, pp. 59–79, 2018.[4] S. J. Kulich and R. Zhang, “The multiple frames of ‘Chinese’ values: From tradition to modernity and beyond,” in Oxford Handbook of Chinese Psychology, M. H. Bond, Ed. Oxford: Oxford University Press, 2012, pp. 241–278.[5] J. Graham, B. A. Nosek, J. Haidt, R. Iyer, S. Koleva, and P. H. Ditto, “Mapping the Moral Domain,” J. Pers. Soc. Psychol., 2011.[6] J. Graham, J. Haidt, M. Motyl, P. Meindl, C. Iskiwitch, and M. Mooijman, “Moral Foundations Theory: On the Advantages of Moral Pluralism over
] M. W. Ohland, G. Zhang, B. Thorndyke, and T. J. Anderson, “The creation of the multiple-institution database for investigating engineering longitudinal development (MIDFIELD),” in ASEE Annual Conference Proceedings, 2004.[13] G. Zhang, T. J. Anderson, M. W. Ohland, and B. R. Thorndyke, “Identifying factors influencing engineering student graduation: A longitudinal and cross-institutional study,” J. Eng. Educ., 2004.[14] J. L. Hieb, K. B. Lyle, P. A. S. Ralston, and J. Chariker, “Predicting performance in a first engineering calculus course: Implications for interventions,” Int. J. Math. Educ. Sci. Technol., vol. 46, no. 1, pp. 40–55, 2015.[15] C. Moller-Wong and A. Eide, “An engineering student
the subject areas below. 8Post-program interests in STEM was different among genders. Male students were more likely toselect “interested” or “very interested” in all four STEM areas than their female peers. Femalestudents were more likely to select “slightly interested” option for technology and engineeringmajors than their male peers. Option “not interested” was selected more times by female studentsthan male students for each one of the STEM fields. 100% Pre and Post-Survey - Male 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% S-Pre S-Post T-Pre T-Post E-Pre E-Post M-Pre M-Post Not
inthe workplace.As part of an NSF S-STEM grant, the University of Wisconsin - Platteville implemented a seriesof professional development opportunities to STEM Master Students on a variety of topics. Inasking students about topics they wanted, students reported a need for soft skills. Knowing thestudents desire to learn about soft skills and knowing that employers find soft skills essential, theteam wanted to determine how effective incorporating professional development opportunities,called “Scholar Spots,” to the scholarship program were at increasing the student’s ability in thetopic areas.The team decided to advance students’ learning about soft skills through a series of monthlywebinars, dubbed “Scholar Spots.” Each spot was required
-class, and homosexual men and women. Therewere some exceptions belonging to bisexuals in the same demographic groups. Largely, thistheme described older works (late 1990’s to early 2000’s), and this body of work constituted thefoundation of what researchers know about the experiences of the LGBTQIA+ community(D’Augelli, 1992; Dilley, 2002). Privileged members of the LGBT community are largely white,male, cisgender, and middle-class. Ongoing research on this group is likely enforced bysampling. As Renn (2010) mentioned, “there is no longer a gap in the literature” with regard toLGB research in higher education. This trend seems to be reflected in other disciplines. Renndid, however, mention that as of 2010, there was still a gap in the
management skills. The multiple approaches for designing a study and analyzing data are useful as weconsider our development of formative and summative assessments. Each methodology has itsstrengths and limitations. Understanding how others have designed their research studies and theimplications for these choices will assist us as we undertake our own research and assessmentactivities.Results Our review of the results captured a significant amount of information related to thedevelopment and assessment of project management. In this section we highlight those resultsmost closely applicable to our project and which can inform other research related to this topic. Shuman et al.’s (2005) work provides a significant number of
. Students in the upper division wereuncomfortable in a socially ambiguous situation as compared to students in the lower division. Thedata analysis did not suggest a correlation between the scores on the tolerance of ambiguity surveyand the engineering identity survey. The freshmen students’ intellectual models were toward thehigher levels and not the simple dualistic level.The surveys will be administered to additional (STEM and non-STEM) students, especially upperdivision students to have a better understanding of tolerance of ambiguity, development ofcognitive model and engineering identity.AcknowledgementThis work was supported by NSF Grant# 1832041.References1. https://recruitingdaily.com/why-the-u-s-has-a-stem-shortage-and-how-we-fix-it-part
technical audience. This provides an opportunity for instructors to discussthe differences between the two. Deliverables must include a quantitative diagram (sometimesdiscussed in class as an “engineering diagram”) of the design and a model with varyingparameters which shows the relationship between the components of the design. These diagramsand models must be used to demonstrate the problematic effect(s) of bias in the older design, aswell as the potential positive impact of the new ones proposed. Students will also have reflectivewriting prompts to complete after creating this deliverable.Preliminary resultsThis intervention design is being piloted in Spring 2020 across multiple class sections with acombined total of 91 students. Although the
studentsshouldn't be afraid to ask questions. Sometimes, ideas around status, popularity, or competenceprevent students from asking questions. This fear limits the opportunity for students to usestudios as an environment to learn and grow.” We also see general shifts in beliefs, e.g., from amore “transmission-based” conception of learning to a more constructivist view.ReferencesBlosser, P. (2000). How to Ask the Right Questions. National Science Teachers Association.Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational researcher, 18(1), 32-42.Campbell, T., Schwarz, C., & Windschitl, M. (2016). What we call misconceptions may be necessary stepping-stones toward making sense of the world
and procedures for handling assessments.References [1] ABET | ABET accreditation. [Online]. Available: https://www.abet.org/. [2] Criteria for Accrediting Engineering Programs, 2019 – 2020 | ABET, en-US. [Online]. Available: https://www.abet.org/accreditation/accreditation- criteria/criteria-for-accrediting-engineering-programs-2019-2020/. [3] N. E. Adams, “Bloom’s taxonomy of cognitive learning objectives,” Journal of the Medical Library Association : JMLA, vol. 103, no. 3, pp. 152–153, Jul. 2015, issn: 1536-5050. doi: 10.3163/1536-5050.103.3.010. [4] B. S. Bloom, Taxonomy of Educational Objectives: The Classification of Educational Goals, 1st ed. Longman, 1956. [5] C. C. Bonwell and J. A. Eison, Active
designand implementation approaches which are empirically derived from actual classroom settings.References[1] J. Froyd, M. Borrego, S. Cutler, M. Prince, and C. Henderson, “Estimates of Use of Research-Based Instructional Strategies in Core Electrical or Computer Engineering Courses,” IEEE Trans. Educ., vol. 56, no. 4, pp. 393–399, 2013.[2] S. Tharayil et al., “Strategies to mitigate student resistance to active learning,” Int. J. STEM Educ., vol. 5, no. 1, p. 7, 2018.[3] P. Shekhar and M. Borrego, “‘Not hard to sway’: a case study of student engagement in two large engineering classes,” Eur. J. Eng. Educ., 2016.[4] M. J. Borrego, M. J. Prince, C. E. Nellis, P. Shekhar, C. Waters, and C. J. Finelli, “Student
and output a single character such as “W” for forward, “S” for reverse, “A” and “D” forleft and right to the control moduleThe control modules will incorporate a state machine which updates its future state based on inputsreceived and its current state. For example, if the new data is “W” and the machine is in the “W”state. Nothing will happen and it will wait until a new character is available to read. If, while inthe “W” state the new character “S” is provided, the control module will command the outputmodule to change the state of the output software to match. The output module will then stop thecar by writing the appropriate values to the motors. In general, the controller module will receivedata from the input module. Based on that data
challenges in computationallymodeling film-substrate instabilities. The current approach enables increased accuracy andversatility in predicting instabilities over a wide range of material and geometric conditions. References1 Huck, W. T. et al. Ordering of spontaneously formed buckles on planar surfaces. Langmuir 16, 3497-3501 (2000).2 Nikravesh, S., Ryu, D., Shen, Y.-L. Direct numerical simulation of buckling instability of thin films on a compliant substrate. Advances in Mechanical Engineering 11, 1687814019840470, doi:10.1177/1687814019840470 (2019).3 Nikravesh, S., Ryu, D., Shen, Y.-L. Surface Instability of Composite Thin Films on Compliant Substrates: Direct Simulation
Counseling and Educational Psychology New Mexico State University IntroductionIn the early 1980’s Congress requested that the National Science Foundation (NSF) provideeducational and professional development opportunities for people of color, women, and peoplewith disabilities pursuing a career in the sciences and engineering [1]. Although the number ofunderrepresented groups pursing degrees and careers in Science, Technology, Engineering, andMathematics (STEM) is increasing – the number of people from underrepresented communities,such as Hispanic or Latino, as well as women, remains unequal [2].Engineering is a STEM domain in which underrepresented groups continue to remain
theappropriate equations and code to our program. To be specific, the thermophilic and mesophilic gasproduction curves can better define by the process. At the end of week 8, there was no methane gasproduction in the collection bag due to perceived contamination issues, but it did have a measurableamount of methane in the control digester vessel. As stated before, greater care will be needed whileoperating and maintaining the digester vessel. This emphasizes the importance of this study and isexactly why remote monitoring and adjustment of process parameters can be so valuable to thisrenewable energy source. References[1] S. Sutaryo, A.J. Ward, H.B. Møller Thermophilic anaerobic co-digestion of
. technology sector, AsianIndian engineers differ significantly in their working conditions and socio-economic experiences.The paper is based on both primary data and secondary sources. Primary data comes from aNational Science Foundation (NSF) funded study on return migration of Asian Indian engineersfrom the United States. IntroductionSince World War II, foreign-born population in science and engineering (S&E) has beenincreasing in the United States. In 2015, foreign-born accounted for almost 30% of college-educated workers employed in S&E occupations in the United States1. This is an outcome ofmajor alterations in the U.S. immigration policies in 1952, 1965 and 1990. Among otherchanges, immigration
theAPVAWT capstone team has passed will be introduced to show how the engineering students ofthe team design and build the APVAWT system with the Liberty art students. 2.1 Decision Gate 1 – Stakeholder RequirementsThe 1st decision gate is to identify and confirm stakeholder requirements that guide the capstoneteam in understanding what is needed to be accomplished for the project and the class. Here,stakeholders represent all entities who are involved in this project: the capstone team, theclient(s), and the class instructor. Table 1 shows stakeholder requirements the team presentedand is required to fulfill. Table 1 – Stakeholder Requirements for Design and Construction of the APVAWT Task ID Name Description
complicated virtual environments. It is uncertain that the grant program will continue to offerfree credits in the future. Third, students create their own accounts and therefore usermanagement is a problem.In the future, we plan to develop more labs on commercial, public cloud systems and use VirtualPrivate Network (VPN) to connect students’ virtual machines with a central server to providebetter support and monitoring when needed. We are also considering integrating automaticassessment scripts through the central server on the public cloud to provide immediate feedback,which has been done successfully in some labs on our in-house, cloud-based systems.REFERENCES[1] D. Puthal, B. P. S. Sahoo, S. Mishra and S. Swain, "Cloud Computing Features, Issues
and designthinking and that their differences are due to differences in application and the nature of their usein a process [1]. The Inclusive Concept Model suggests that systems thinking is merely a specificapplication of design thinking and falls under the category of design thinking [1]. Lastly was theIntegrative Concept Model which suggests that systems and design thinking are part of the sametype of cognition with the perceived difference between them being due to a gap between theirapplication in industry and formal research. Using Greene et al.’s work as a springboard, wecontinued exploration of the systems/design thinking relationship.Our paper is structured to first examine the emergent cognitive abilities and attributes of
Foundation. The Foundation was established by Stanton andElisabeth Davis after Mr. Davis's retirement as chairman of Shaw's Supermarkets, Inc.References[1] S. Pulford, J. Tan, M. Gonzalez, and A. Modell, "Satisfaction: Intrinsic and Extrinsic Motivation in Engineering Writing Coursework," in 125th ASEE Annu. Conf. Expo, 2018.[2] J. D. Ford, "Knowledge transfer across disciplines: Tracking rhetorical strategies from a technical communication classroom to an engineering classroom," IEEE Transactions on Professional Communication, vol. 47, no. 4, pp. 301-315, 2004.[3] D. A. Winsor, "Engineering writing/writing engineering," College composition and communication, vol. 41, no. 1, pp. 58-70, 1990.[4] L. Reave
, “Teacher and Student Attitudes Toward Teacher Feedback,” RELC J., vol. 38, no. 1, pp. 38–52, 2007.[4] E. Ekholm, S. Zumbrunn, and S. Conklin, “The relation of college student self-efficacy toward writing and writing self-regulation aptitude: writing feedback perceptions as a mediating variable,” Teach. High. Educ., vol. 20, no. 2, pp. 197–207, 2015.[5] R. Yoshida, “Teachers’ choice and learners’ preference of corrective feedback types,” Lang. Aware., vol. 17, no. 1, pp. 78–93, 2008.[6] O. H. A. Mahfoodh and A. Pandian, “A Qualitative Case Study of EFL Students’ Affective Reactions to and Perceptions of Their Teachers’ Written Feedback,” English Lang. Teach., vol. 4, no. 3, pp. 14–25, 2011.[7] T. Ryan and M
which corresponded to speed-limit changesbetween roads along the driven route. These sections are highlighted in Figure 2 by sudden dropsand spikes of the car velocity where a stoplight, stop sign, or turn was encountered. The recordedreadings were grouped 1-8, 9-18, 19-25, 26-34, 35-45, 46-66, 67-85, 86-103, 104-124, 125-130,131-133, 134-149, 150-158, 159-165, 166-173, and 174-183 to make up the sixteen sections. Figure 3: Car velocity (m/s) versus anemometer reading (m/s) In Figure 4, the average car velocities of the readings in each section, shown as bluemarkers, were calculated and plotted versus the average air velocity recorded in the anemometerof each section, shown as red markers. The plotted values are in
. Guskey, and L. A. Jung, “Response-to-intervention and mastery learning: tracing roots and seekingcommon ground,” The Clearing House, vol. 84, no. 6, pp. 249-255, 2011[3] – M. W. Bonner, “Grading rigor in counselor education: a specifications grading framework,” EducationalResearch Quarterly, vol. 39, no. 4, pp 21-42, 2016[4] – G. G. Shaker, and S. K. Nathan, “Teaching about celebrity and philanthropy: a case study of backward coursedesign,” The Journal of Nonprofit Education and Leadership, vol. 8, nr. 4, pp 403-421, 2018[5] – J. Ring, “Specifications Grading in the Flipped Organic Classroom,” Journal of Chemical Education, vol. 94,no. 12, pp 2005-2006, 2017[6] – L. Pope, H. B. Parker, and S. Ultsch, “Assessment of specifications grading in an