source material in the early stages of the design process. Resultsfrom these changes were promising in regard to student motivation, engagement, and perception.Based on a participant survey, the percentage of responding students that fully completed theassignment to engage with the source(s) rose from 11% in the original implementation to 45% inthe current project implementation, and the percentage that engaged with 20% or less of thesource(s) fell from 22% to 5%. Additionally, in the original project only 15% of students statedthey at least “agreed” to enjoying the novel assigned, whereas in the current work 59% at least“agreed” to enjoying the source material chosen. Although a limited sample size, these and otherfindings capture the
,” Journal of Computers in Education, Vol. 8, pp. 365–394, 2021.R. Clark and A. Kaw, “Adaptive Learning in a Numerical Methods Course for Engineers: Evaluation in Blended andFlipped Classrooms,” Computer Applications in Engineering Education, Vol. 28(1), pp. 62-79, 2020.College and University Classroom Environment Inventory, https://case.edu/ucite/sites/case.edu.ucite/files/2018-02/College-and-University-Classroom-Environment-Inventory.pdf (accessed April 25, 2022).C. Finelli, K. Nguyen, M. DeMonbrun, M. Borrego, M. Prince, J. Husman, C. Henderson, P. Shekhar, and C.Waters, “Reducing Student Resistance to Active Learning: Strategies for Instructors,” Journal of College ScienceTeaching, Vol. 47(5), pp. 80-91, 2018.S. Freeman, S. Eddy, M. McDonough, M
maintained many years beyond thecompetition of the funded project supported by the National Science Foundation.AcknowledgmentsThe authors thank contributions from Alex Edgcomb and numerous teaching assistants. Thismaterial is based upon work supported by the National Science Foundation under Grant No.DUE 1712186. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. This work was completed within the framework of University of ToledoIRB protocols 2011808 and 202214.DisclaimerOne of the authors may receive royalties from sales of the zyBook detailed in this paper.References[1] A. Edgcomb, F. Vahid, R. Lysecky, A
1beginning of achievement goal theory, the theory mainly emphasized the difference betweenmastery goals and performance goals. According to [8], mastery goals had higher educationalbenefits compared to performance goals. In 1990's a few researchers bought a new perspective tothe goal theory, where they emphasized the importance of both mastery and performance goals[13]. This change in perspective led to the start of a debate in the field related goal theory. Butgroup of researchers still believed that performance-avoidance goal was related to negativeeffects. Relevant LiteraturesDebate: Multiple Goal Theory Multiple goal theory is considered as the new perspective of achievement goal theory,where
objectives.References[1] Cech, Erin, “The (Mis)Framing of Social Justice: Why Ideologies of Depoliticization and Meritocracy Hinder Engineers’ Ability to Think about Social Injustices,” in Engineering Education for Social Justice: Critical Explorations and Opportunities, New York: Springer, 2013, pp. 67–84.[2] R. Loweth, S. R. Daly, L. Paborsky, S. L. Hoffman, and S. J. Skerlos, “‘You Could Take “Social” Out of Engineering and Be Just Fine’: An Exploration of Engineering Students’ Beliefs About the Social Aspects of Engineering Work,” presented at the 2021 ASEE Virtual Annual Conference, Jul. 2021. [Online]. Available: https://peer.asee.org/you-could-take-social-out-of-engineering-and-be-just-fine-an-explor
helped me to design a better shelter.” and “Using math makes using Andromedaeasier.”, with respective means of x¯ = 7.93 and x¯ = 4.20. The statement with the most variabilityin responses is “Using math makes using Andromeda easier.” (s = 2.68). The statement with theleast amount of variability is “Analyzing data with Andromeda fun.” (s = 1.74). The statement“Using Andromeda allowed me to understand the raw data.” received relatively high responses x = 7.87), while the statement “I know what is meant by the term highdimensional data.”(¯received the secondlowest average (¯ x = 6.90).Figure 3. Survey responses after the shelter assignment. The mean (¯ x) and standard deviation (s)for each survey question is provided with a visual count of
the questionnaire, each respondent rated 20 items under “Choose the response that bestdescribes the perception of the institution where you are currently working.” and, in a separatequestion, “Choose the response that best describes the perception of the institution where youearned your Ph.D.” Phrasing of each item is identical for both questions and includes reverseditems. Examples include In this institution, people value new ideas; My supervisor(s) listen(s)attentively; and Newly hired employees in this institution receive adequate training. Responsesutilized the same five-option Likert scale from strongly agree to strongly disagree, and numericalratings were assigned as shown in Table 1.The results of perceived institutional differences
presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.25933[2] National Science Foundation. Veterans’ education for engineering and science. Report of the NSF Workshop on Enhancing the Post-9/11 Veterans Educational Benefit. McLean, VA, April 13, 2009.[3] H. Wilkinson and A. Minichiello, "A narrative review of the empirical literature on U.S. military students in engineering education," Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN., 2022: American Society of Engineering Education.[4] F. M. Connelly and D. J. Clandinin, “Stories of Experience and Narrative Inquiry,” Educ. Res., vol. 19, no. 5, pp. 2–14, Jun. 1990.[5] G. A. Phillips and Y. S. Lincoln
courses on sustainable engineering design, human behavior and infrastructure systems, and adaptive reuse.John S Gero (Dr)Paulo Ignacio Jr. PhD student at Virginia Tech. Working with Dr. Tripp Shealy. Passionate about human performance and wellbeing in the built environment. © American Society for Engineering Education, 2022 Powered by www.slayte.com The neurocognition of engineering students designing: A preliminary study exploring problem framing and the use of concept mappingAbstractNeuroimaging provides a relatively new approach for advancing engineering education byexploring changes in neurocognition from educational interventions. The
leadership from the industrial age to the knowledge era," The Leadership Quarterly, vol. 18, no. 4, pp. 298-318, 2007, doi: 0.1016/j.leaqua.2007.04.002.[11] J. Lave and E. Wenger, Situated learning: Legitimate peripheral participation. New York, NY: Cambridge University Press, 1991.[12] E. Wenger, R. A. McDermott, and W. Snyder, Cultivating communities of practice: A guide to managing knowledge. Boston, MA: Harvard business press, 2002.[13] American Association for the Advancement of Science, Levers for Change: An assessment of progress on changing STEM instruction. AAAS, 2019.[14] S. Freeman et al., "Active learning increases student performance in science, engineering, and mathematics," Proceedings of the
: February 7, 2022].[4] J. B. Napp and A. Sabharwal, “Academic libraries and the strategic vision for diversity in higher education,” presented at the 2019 ASEE Annual Conference & Exposition, June 2019. [Online]. Available: https://peer.asee.org/32024. [Accessed: February 7, 2022].[5] R. Koury, J. L. Semenza, and S. Shropshire, “A survey of diversity and inclusiveness initiatives at Carnegie Doctoral Research Institutions libraries,” Library Management, vol. 40, no. 1/2, pp. 23-33, 2019.[6] D. Fife, M. N. Stephens, A. Lyons, and M. Huang, “Leader responsibility for diversity, equity, inclusion & justice in academic libraries: An exploratory study,” The Journal of Academic Librarianship, vol. 47
knowledge, digital skills, interdisciplinary knowledge, and problem-solving areneeded for the technological category.References[1] L. Sakurada, C. A. S. Geraldes, F. P. Fernandes, J. Pontes, and P. Leitão, "Analysis of New Job Profiles for the Factory of the Future," in Service Oriented, Holonic and Multi- Agent Manufacturing Systems for Industry of the Future, (Studies in Computational Intelligence, 2021, ch. Chapter 18, pp. 262-273.[2] S. klaus, "The Fourth Industrial Revolution," 2016.[3] S. Weyer, Schmitt, M., Ohmer, M. and Gorecky, D., , "Towards Industry 4.0 - Standardization as the crucial challenge for highly modular, multi-vendor production systems," Ifac-Papersonline, vol. 48, no. 3, pp. 579-584
WELL-EDUCATED WORKFORCE IS KEY TO STATE PROSPERITY,” p. 14, 2013.[2] E. M. King and M. A. Hill, Women’s Education in Developing Countries: Barriers, Benefits, and Policies. World Bank Publications, 1997.[3] W. W. McMahon, Education and Development: Measuring the Social Benefits. Clarendon Press, 2000.[4] M. Munir Kayani, R. A. Akbar, S. Faisal, A. Kayani, and M. Amin Ghuman, “Analysis of Socio-Economic Benefits of Education in Developing Countries: A Example of Pakistan,” Bull. Educ. Res., vol. 39, no. 3, pp. 75–92, Dec. 2017.[5] A. Almeida Del Savio, K. Galantini, and A. Pachas, “Exploring the Relationship between Mental Health-Related Problems and Undergraduate Student Dropout: A Case Study within a Civil
of TEAMMATES Student assessment Team Recipient CC PC Diff Ratings Received 1 S#1 E E 0 E, E, E 1 S#2 E E 0 E, E, E 1 S#3 E E 0 E, E, E 1 S#4 E E 0 E, E, E 2 S#1 E E -5% -5% E, E -6%, E -9% 2 S#2 E E -5% -5% E, E -6%, E -9% 2 S#3 E +22% E +6% -16% E +18%, E, E 2 S#4 E -7% E +4% 11% E +13%, E, EIn this study
Paper ID #36644Which is more Equitable: Hands-on Labs, Virtual Labs, or No Lab at All?Dr. Charles D Newhouse P.E., Virginia Military Institute Charles D. ”Chuck” Newhouse received his Ph.D. in Civil Engineering at Virginia Tech after working nine years as a consulting structural engineer for MMM Design Group in Norfolk, Virginia. He spent three years teaching at Texas Tech University before joining the faculty at the Virginia Military Institute in 2008 where he is now the Charles S. Luck, Jr. ’20 Institute Professor in Engineering. He is also currently serving as the department head of the Civil and Environmental
Paper ID #37612Employers’ Perception of Student Employability in theConstruction Management Industry using Resume Analysisand Analytic Hierarchy ProcessJonathan Robert Gomes RWUBilge Gokhan CelikYewande S Abraham (Dr) © American Society for Engineering Education, 2022 Powered by www.slayte.com Employers’ Perception of Student Employability in the ConstructionManagement Industry using Résumé Analysis and Analytic Hierarchy Process AbstractIn recent years, there has been a significant increase in college-level programs offering degreesin Construction Management (CM) and
Engineering Education, 2022situations; and displaying empathy by perceiving the current challenges of the pandemic, and theextent the underrepresented populations are disproportionately affected.6.0 AcknowledgmentsThe authors would like to thank the Maryland Space Grant Consortium (MDSGC) for fundingthe research and summer internship and travel scholarship to Mr. William Klein.7.0 References 1. Ravindra, K., Singh, T., Vardhan, S., Shrivastava, A., Singh, S., Kumar, P., & Mor, S. (2022). COVID-19 pandemic: What can we learn for better air quality and human health?.Journal of infection and public health, 15(2), 187–198. https://doi.org/10.1016/j.jiph.2021.12.001 2. Chang, H. H., Meyerhoefer, C. D., & Yang, F. A. (2021
what modifications are required, through end-of-course/workshop surveysand evaluations. For each of these surveys and evaluations, a standard rubric was prepared andprovided to the participants with consultation with the EAC members to properly reflect theproject activity objectives. These formative and summative measures are listed in Table 2. Table 2. Evaluation plan including formative (F) and summative (S) measures. Activity Description Evaluation Measure Continuous consultation and feedback from (i) New course and laboratory External Advisory Committee (F & S); Early and end-of-term
will be available to answer questions and offer guidance to attendees. • Goal: The goal of this session is to provide female minority students in the bachelor STEM degree programs with the opportunity to connect with junior and senior female minority students in the same program and gain valuable insights and confidence from their experiences. Peer-led activities have been shown to create a sense of community and increase retention of minority students [18]. Building a supportive network can enhance the academic success of these students.The findings from these initiatives will be reported at a future ASEE conference.Work Cited[1] C. Botella, S. Rueda, E. López-Iñesta, and P. Marzal. "Gender diversity in STEM
oflearners. This involves uncovering implicit biases in our own training as engineering educatorsthat favor one set of learners6.Documenting the continuing race, ethnicity, and gender-based achievement gaps in science &engineering (S&E), the National Science Foundation concludes, “Maintaining the preeminenceof U.S. S&E higher education, while serving Americans of all backgrounds, represents acontinuing aspiration.”7 Data collected by the Department of Education’s Office of Civil Rightson access to Mathematics and Sciences courses in high schools across the nation indicatessignificant demographic-based gaps.8 “Nationwide, 78% of high schools offer algebra 2, 48% offer calculus, 72% offer chemistry, and 60% offer physics (Table
incident(s) had occurred. Choices given for gender were male,female, and other, which the user was asked to describe. Options given for ethnic origin wereCaucasian, African American, Hispanic/Latino, Mixed Race, American Indian/Alaskan Native,Black African, Asian, and Indian/S. Asian. Given the relatively small number of responses fromethnicities other than Caucasian, we combined all other ethnicities into a single variable.Respondents were given an open-ended question regarding major or work category. In theanalysis, “STEM” was interpreted to include all majors/job categories in mathematics andengineering, and sciences such as physics, chemistry and biology, but not social sciences. Non-STEM was all other fields, ranging from social sciences to
his or her needs for belongingness and uniqueness” (p.1265). Team member perception of belongingness and uniqueness creates feelings of inclusivitywithin a team setting; behaviors related to these areas are described in Shore et al.’s (2011)framework for inclusion as shown in figure 1.Figure 1Shore et al. 2011 Inclusion FrameworkFrom “Inclusion and Diversity in Work Groups: A Review and Model for Future Research”, byShore, Randel, Chung, Dean, Ehrhart, and Singh, 2011, Journal of Management, 37(4), p. 1266.The Authors 2011. Promoting feelings of inclusiveness requires intentional behaviors, and leaders are in aposition to practice these behaviors to foster inclusive environments within teams. Their uniquepositions within the workplace
reuse. These lessons can guide professionaldevelopments for not only K-12 teachers, but also for engineering educators in cybersecurity andcomputer science.Funding:This work was supported by the Wyoming Department of Education (WDE) and theNational Science Foundation (NSF) through the CS for All: RPP - Booting Up ComputerScience in Wyoming (WySLICE Award #1923542) and Sustaining Wyoming’s AdvancingReach in Mathematics and Science (SWARMS Award #1339853). Any opinions, findings, andconclusions, or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of NSF.ASEE 2021 ReferencesAbramovich, S. (2016). Understanding digital badges in higher education
education must continue. Our work adds to the conversation by providing directevidence of school, district, and state administrators’ perspectives. We will continue to engage inmultiple reflections and discussions with administrators across the nation in the coming years asthe e4usa scales up to create district-level partnerships. The study has implications for how schooland district partnerships may be developed to allow for reciprocal support as pre-collegeengineering education continues to grow.AcknowledgementsThis material is based upon work primarily supported by the National Science Foundation (NSF)under NSF Award Number EEC-1849430. Any opinions, findings and conclusions, orrecommendations expressed in this material are those of the author(s
better seethe “everyday ethics” in her workplace.Internships, along with other types of experiential learning including service learning, student-faculty research, study abroad, and capstone courses, have been identified as high-impactpractices for enriching student learning [13]. For instance, AAC&U’s College Learning for theNew Global Century notes that such experiences offer “rich opportunities for connectingknowledge with choices and action” [14, p. 36]. However, as Beatrice’s and Palano’s experiencedemonstrates, students may have “had the experience but missed the meaning” [15, p. 151,quoting T. S. Eliot’s Four Quartets]. Thus, there remains an open question about what could bedone to help students learn even more, especially closer to
students to pursue careers in naval science & technology (Kiss, 2011; Lundquist,2014). Because there are relatively few institutions in the United States that offer comprehensivenaval architecture programs, there is an opportunity for smaller programs to help meet the needby developing quality curricula on Navy-related S&T subjects, and to make students aware ofpotential careers in this area.The program discussed in this paper has been developed at the University of Iowa, whichprovides unique challenges for attracting students with interest in naval science & technology. Itis therefore important to cultivate that interest through exposure to relevant curricular topics andengineering challenges. In addition, due to the limited faculty
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
) was 3.67,use of script support (SS) was 3.21, use of storytelling (S) was 3.29 and ability to controlemotions (CE) was 3.57. Based on the student self-assessment responses (Figure 3), the areasthat received the lowest average ratings were the inability to include storytelling techniques(S), effectiveness to use script support (SS), as well as incompetence to engage audiences(EA). Students expressed that their strengths were content preparation, organization and timemanagement, yet these skills received a rating of approximately 3, indicating that theirstrengths are still considered as underdeveloped. Therefore, results indicated that there is anopportunity for improvement and mastering all the different presentation criteria
? A review of the research. Journal of Engineering Education, 93(3): 223-231. 3. Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, H. J., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences of the United States of America. 4. Bender, D. D., & Weimer, M. (2005). The phenomenology of change: How do individual faculty manage the instructional change process? Proceedings of the Annual Meeting of the American Educational Research Association, Montreal, Quebec. 5. Borrego, M., Froyd, J. E., & Hall, T. S. (2010). Diffusion of engineering education innovations: A survey of
a relation (table) in the relational database. Figure 3: The Neo4J (graph) version of the university database presented in Section 2.1Figure 4 shows the Cypher query for Q1 and Q2 . The Cypher version of Q1 (Figure 4(a)) issimilar to Q1 ’s SQL version. We first find the Student nodes and use the WHERE clause toselect students with the name ‘James Smith’. Then, we RETURN (output) the Major property ofthe student. Figure 4(b) shows the Cypher query equivalent to Q2 and demonstrates Neo4J’spower in querying interconnected data. The graph pattern matching clause shown in the MATCHfinds all Students measuring ECE and taking a class (represented by the relationship Has). TheRETURN clause group the result by course name and COUNT student