able to: Summarize the problem into research Synthesis. Relate knowledge from several question(s) areas i.e. compose, combine, create Design the experiment in steps, at least Evaluation. Making choices based upon identify variables to be manipulated and reasoned arguments responding variables Predict the behavior or have hypothesis Synthesis. Relate knowledge from several areas i.e. compose, combine, create Collect and organize the data in table(s) that Analysis. Organization of parts. Identification is logical and understandable of components (order, classify, arrange) Plot the data
satisfaction regardless of the venue. The typical way to show results from a 5-point Likert scale is to show the values indistribution bars. Visualizing in this way is helpful for research when measuring impact but lesshelpful to inform decisions on actions to take based on the results. In this work, we convert theresponses into a percentage to support program benchmarking and facilitate goal setting and thenuse that to assign a letter grade. We then convert the results from each student to a percentage bysumming up all the scores given by the student and dividing by 35 (i.e., seven items x five-pointscale). For example, a student who responds to the PS items with 5's to six items and 4 to oneitem, provides a score of 34 out of 35 possible points
of the technology used for theShinkansen was developed during the war for non-peaceful purposes. However, post-warJapanese engineers felt the need to expunge their guilt at having developed such technologyand instead utilised it for more peaceful purposes. The learning outcomes from this lecture were measured by filling out a questionnaire.Most of them mentioned their redemption by developing technology used for the war,importance of having a peaceful mindset, safety, and/or the contribution of the threeengineers as the most impressive lessons learned (see their feedback in ‘Program evaluation’below). Figure 4: Some slides from Lectures on ShinkansenProgram evaluation1. Quantitative analysis: MGUDS-S SIT values
. In the following sections, the studies on the effectiveness of game-basedlearning (GBL) are summarized first and review on its implementation potential to engineeringeducation is provided as well. Then, the developed game is explained briefly with the learninggoal and topics. We implemented this learning module in two different settings, first for 25 highschoolers at a civil and environmental engineering departmental summer camp and second for alittle under 30 community resilience researchers at the National Institute of Standards andTechnology (NIST)’s Center of Excellence for Community Resilience semi-annual meeting.Feedback was collected after the second implementation which is presented as well to discuss themodule’s future development
students’ learning. Dr. Darabi’s research has been funded by federal and corporate sponsors including the National Science Foundation, and the National Institute of Occupational Health and Safety.Mrs. Rezvan Nazempour, The University of Illinois, Chicago Rezvan Nazempour is a graduate research assistant at the University of Illinois at Chicago. She is com- pleting her Ph.D. in Industrial Engineering and operations research at the Mechanical and Industrial En- gineering Department. She received her BSIE fromDr. Peter C. Nelson, The University of Illinois, Chicago Peter Nelson was appointed Dean of the University of Illinois at Chicagoˆa C™s (UIC) College of Engi- neering in July of 2008. Prior to assuming his
institution.Faculty participating in our study were asked to develop projects and course integrations that aim todevelop some aspect(s) of students EM. The final deliverable, at the conclusion of the 2-year period, isthe submission of an Engineering Unleashed Card [8]. These cards function as a combination of blog andresource-sharing website all in one page, documenting the course plans/activities with sufficient detailthat other faculty could then take the plan/activity and modify it to fit and deploy it in their own courses.Research on mentoring models for faculty developmentThere has been a growing body of research on the effectiveness of peer mentoring programs rooted insocial cognitive theories and research on influence [9]. Social cognitive theory, SCT
slight increase in drowsiness. One participantfelt the video was longer than in actuality, while the other two felt it was shorter than in actuality. Theclinical immersion video (see appendix Table 5) elicited an average level of engagement at 6.33, with twoof the participants beginning to feel bored at around 10 minutes. No participant fell asleep, one felt adrowsiness level of 7 out of 9 while the other two did not experience any drowsiness from watching thevideo. Interestingly, all participants felt that the video was longer than in actuality.Discussion:Due to issues during data acquisition, the EEG statistical analysis was inconclusive despite observingstatistical difference in subjects 2 and 3 (see appendix Table 1). Namely, Subject 2’s
. 5 Resources[1] K. Krippendorff, Content analysis : an introduction to its methodology, 3rd ed. Beverly Hills: Sage Publications, 1980.[2] G. L. Gray, D. Evans, P. Cornwell, F. Costanzo, and B. Self, "The Dynamics Concept Inventory Assessment Test: A Progress Report," in Proceedings of the 2005 American Society for Engineering Education Annual Conference, Portland, OR, 2005.[3] G. L. Gray, D. Evans, P. Cornwell, F. Costanzo, and B. Self, "Toward a Nationwide Dynamics Concept Inventory Assessment Test," in Proceedings of the 2003 American Society for Engineering Education Annual Conference, Nashville, TN, 2003.[4] P. S. Steif and J. A. Dantzler, "A Statics
,” National Student Clearinghouse Research Center, Herndon, VA, Signature Report 19, Dec. 2020. [Online]. Available: https://nscresearchcenter.org/wp-content/uploads/Completions_Report_2020.pdf[2] D. Shapiro, A. Dundar, F. Huie, P. Wakhungu, A. Bhimdiwala, and S. Wilson, “Completing college: A state-level view of student completion rates includes for the first- time, race and ethnicity outcomes for four-year public institutions,” National Student Clearinghouse Research Center, Herndon, VA, 16a, Feb. 2019. [Online]. Available: https://www.studentclearinghouse.org/blog/completing-college-a-state-level-view-of- student-completion-rates-includes-for-the-first-time-race-and-ethnicity-outcomes-for-four- year-public
Postsecondary Research., Bloomington, 2007.[2] S. H. Russell, M. P. Hancock and J. McCullough, "Benefits of Undergraduate Research Experiences," Science, vol. 316, no. 5824, pp. 548-549, 2007.[3] A. L. Zydney, J. S. Bennett, A. Shahid and K. W. Bauer, "Impact of Undergraduate Research Experience in Engineering," Journal of Engineering Education, vol. 91, no. 2, pp. 151 - 157, 2002.[4] R. S. Hathaway, B. A. Nagda and S. R. Gregerman, "The Relationship of Undergraduate Research Participation to Graduate and Professional Education Pursuit: An Empirical Study," Journal of College Student Development, vol. 43, no. 5, pp. 614-631, 2002.[5] B. A. Nagda, S. R. Gregorman, J. Jonides, W. v. Hippel and J. S. Lerner, "Undergraduate
Agenda for Research. Washington, DC: The National Academies Press, 2014.[3] B. London, S. Rosenthal, S. R. Levy, and M. Lobel, “The influences of perceived identity compatibility and social support on women in nontraditional fields during college transition,” Basic and Applied Social Psychology, vol. 33, pp. 304-321, 2011.[4] N. D. Watkins, R. W. Larson, and P. J. Sullivan, “Bridging intergroup difference in a community youth program,” American Behavioral Scientist, vol. 51, pp. 380-402, 2007.[5] R. F. Catalano, M. L. Berglund, J. A. M. Ryan, H. S. Lonczak, and J. D. Hawkins, “Positive youth development in the United States: Research findings on evaluations of positive youth development programs,” The
/publications/tracking-transfer-institutional-state-effectiveness.html, 2016.6. T. Bailey, “Can community colleges achieve ambitious graduation goals?”, in Getting to Graduation: The Completion Agenda in Higher Education, A. P. Kelly & M. Schneider Eds. Baltimore, MD: The Johns Hopkins University Press, 2012, pp. 73-101.7. B. L. Yoder, “Engineering by the numbers,” American Society for Engineering Education, 2017.8. Bureau of Labor Statistics: U.S. Department of Labor, “Employed persons by detailed occupation, sex, race, and Hispanic or Latino ethnicity,” 2015. Available: http://www.bls.gov/cps/cpsaat11.htm.9. National Science Foundation, “How many S&E graduates attended community college?”, 2016. Available: http://www.nsf.gov/nsb
need is by using teams (Varvel, Adams,Pridie, & Ruiz Ulloa, 2004). Organizations recognize the importance for employees tounderstand how to work effectively with others, but also express that new employees do notbring adequate teaming skills to the workplace (S. Adams & Ruiz, 2004; Pascarella &Terenzini, 2005). Despite calls to promote teamwork as “an indispensable quality forengineering”(Lingard & Barkataki, 2011) engineering schools have been generally slow indeveloping pedagogies that successfully promote collaborative behaviors. Several initiativeshave been done in engineering education -like project-based learning and team-basedlearning to try to promote teamwork skills (Felder & Brent, 2009; Prince, 2004). However
engineering studentparticipation but the association with success outcomes for non-Black student members is also afuture area of interest. Additional insights into quantitative relationships can be gained by graded categorizationof NSBE membership that accounts for factors such as number of years of involvement, whenthey first joined the organization (e.g. freshman vs later years), level of involvement, and otherstudent success outcomes (e.g. GPA). Exploring how and why particular associations exist canalso be supported by more rigorous qualitative explorations of NSBE members decisions topersist or leave engineering and/or the organization and what unique role NSBE played in thesedecisions.References[1] D. E. Chubin, G. S. May, and E. Babco
I can do it can do itI can make a good scientific hypothesis. 0 1 2 3 4 5 6 7 8 9 10 Cannot Pretty sure For sure I do it I can do it can do itI can get myself to do my science school work. 0 1 2 3 4 5 6 7 8 9 10 Cannot Pretty sure For sure I do it I can do it can do it ReferencesAndrew, S. (1998). Self-efficacy as a predictor of academic performance in science. Journal of advanced
explore. For this paper, researchers present findings from theanalysis of the final cohort(s) of the original pilot program with an emphasis on characteristics ofinterest, as well as an exploration of the factors involved in place-attachment for alumni.IntroductionThe Bowman Creek Educational Ecosystem (BCE2) in South Bend, Indiana is a community-university, cross-institutional partnership [1] developed with a multiplicity of outcome aims – toattract and retain underrepresented groups in engineering and science; to improve the quality oflow-income neighborhoods; and to build STEM literacy across the regional workforce. Corepartners in the BCE2 pilot have involved a diversity of higher education institutions (Ivy Techcommunity college, Indiana
acollaborative project. Providing higher education students with options in assessment willencourage the students to engage with curriculum. It enhances students’ capability to be self–directed, outcome based, collaborative and being analytical in solving problems.References1. Chandrasekaran, S., Stojcevski, A., Littlefair, G., Joordens, M. Learning through Projects in Engineering Education in Eurpean Journal of Engineering Education Conferences (SEFI 2012), Thessaloniki, Greece, 2012.2. Chandrasekaran, S., Stojcevski, A., Littlefair, G., Joordens, M. Best assessment practices of final year engineering projects in Australia. University of Technical Education, Ho Chi Minh City, 2013.3. Chandrasekaran, S., Al Ameri, R. Students Perspectives on
Engineering Education. 2015;49: 19-26.2. Coronella, C. Project-based learning in a first-year chemical engineering course: evaporativecooling. ASEE Annual Conference. Chicago, 2006.3. Barritt, A., Drwiega, J., Carter, R., Mazyck, D., Chauhan, A. A freshman design experience:multidisciplinary design of a potable water treatment plant. Chemical Engineering Education.2005;39: 296-300.4. Duke, S. R., Davis, V. A. Fuel cell car design project for freshman engineering courses.Chemical Engineering Education. 2014;48: 157-164.5. Hollar, K. A., Savelski, M. J., Farrell, S. Guilt-free chocolate: introducing freshmen tochemical engineering. ASEE Annual Conference. Montreal, 2002.6. Farrell, S., Hesketh, R. P., Slater, C. S. A laboratory project to design and
andtechnical human capital (S&T human capital) [15] as a model to study research collaboration [1],[16], [17]. S&T human capital is defined as the sum of individual’s knowledge, skills, resources,and her professional linkages and networks [15]. With such a model, the concept of collaborationmay go beyond the state of individual partnership and include the entire research team or eventhe research field. However, even these approaches are not often concerned with the quality ofcollaboration and relationships between individuals.Indeed the nature of collaboration cannot be explored unless we go beyond the quantitativemeasures of collaboration to examine the process in addition to outcome. Kraut, et al. [18]emphasize the importance of
among construction industrystudents to a) evaluate their experience of natural disasters, b) examine the source of knowledgeof resilience on natural disasters, c) measure knowledge of post-disaster evacuation, and d)evaluate disaster preparation from university education. The study found that the population of thestudent body existed that had not experienced a natural disaster and were unaware of its impactseither on a personal or familial basis. Further, the majority of the responding students felt that theirmajor(s) and universities did not prepare them in terms of handling natural disasters and extremeweather events. Finally, a correlation was found between the location students live and a desire forknowledge about extreme weather events at
, University of North Texas Shirley Anderson is a Ph.D. student in Higher Education at the University of North Texas. She is also the Assistant Director of the Health Professions Advising Center at UT Dallas. Her research interests surround the topic of Marginalized Students in Healthcare. ©American Society for Engineering Education, 2024 Culturally Relevant Practices at Hispanic Serving Institutions: A Systematic Review of Engineering Student Experiences AbstractOur study is rooted in Garcia et al.'s (2019) framework, which emphasizes Culturally RelevantPrograms (CRP) as crucial components of Hispanic-Serving Institutions (HSIs). These programstailor
opinions, findings, and conclusions, or recommendations expressed in this material arethose of the authors and do not necessarily reflect the views of the National Science Foundation.References[1] K. Atit, J. R. Power, N. Veurink, D. H. Uttal, S. Sorby, G. Panther, C. Msall, L. Fiorella and M. Carr, "Examining the role of spatial skills and mathematics motivation on middle school mathematics achievement," International Journal of STEM Education, vol. 7, no. 38, pp. 1-13, 2020.[2] K. Atit, D. H. Uttal and M. Stieff, "Situating space: using a discipline-focused lens to examine spatial thinking skills," Cognitive Research: Principles and Implications, vol. 5, no. 19, pp. 1-16, 2020.[3] S. Lee-Cultura and M. Giannakos, "Embodied
work.Comparing the effectiveness of virtual learning events with personal workshops would provideinsights into the advantages and challenges associated with each format as well as their overallimpact.References[1] Stewart, A. J., Malley, J. E., & LaVaque-Manty, D. (Eds.). (2007). Transforming scienceand engineering: Advancing academic women. University of Michigan Press. [2] Ford, A. Y., Dannels, S., Morahan, P., & Magrane, D. (2021). Leadership programs foracademic women: building self-efficacy and organizational leadership capacity. Journal ofWomen’s Health, 30(5), 672-680. [3] Eagly, A. H., & Carli, L. L. (2007). Through the labyrinth: The truth about how womenbecome leaders. Harvard Business Review Press [4] Eagly, A. H., & Carli, L
and active learning. It is not possible to learn these concepts bydoing only mathematical problems. It is also important for instructors to follow goodpedagogical practices including having clear learning objectives and assessments. 1. Identify possible sociotechnical collaborators 2. Identify a salient course topic that has broader social and environmental implications 3. Identify, add or update existing course learning objectives and/or ABET student outcome that this sociotechnical course topic aligns with 4. Create learning objectives for specific sociotechnical modules 5. Create modules by designing activities for homework before and/or after class session(s) as well as class session(s) that
of communicating learning achievement since theearly 1900’s [1]. Despite grades having the very practical purpose of communicating our levelsof learning or performance achievement to both the learners and the educational system morebroadly [2], [3], when reflecting on the moments and instances in which we remember receivinggrades we likely don’t only remember the learning material or content. Intertwined with thesememories of receiving grades are likely emotional reactions - sometimes incredibly strong. Thejoy and pride of achieving a good grade, the disappointment or frustration with a bad grade, orthe anticipatory excitement or fear related to either preparing for a graded event such as an examor presentation, or even waiting for a grade
to figure out which elements on project teams are prompting the development and practiceof professional skills on project teams to understand if those elements can be replicated in other settings.Not all students or institutions have the resources or availability to expand or participate in project teams.However, by understanding which structures or elements have been useful for developing professionalskills, instructors can introduce similar tactics into classroom settings so more students have opportunitiesto develop their professional skills.References[1] L. Bland, S. Kusano, and A. Johri, “Engineering Competitions as Pathways to Development of Professional Engineering Skills,” in 2016 ASEE Annual Conference & Exposition
NationalCenter for Education Statistics (NCES), many university students in the United States are non-traditional. Despite these challenges, non-traditional students excel because they understand thevalue of a college degree in today's job market, particularly for certain engineering disciplineswhere a degree is required. Hispanic/Latino(a) students are often non-traditional and face unique challenges andobstacles in their pursuit of their degree. Hispanics/Latino(a)s are more likely than otherdemographic groups to work while attending college [2]. The high rate of labor forceparticipation among Hispanic/Latino(a) students can be seen as an example of intersectionality[3], as it is influenced by multiple factors, including their race, ethnicity
across the five periodical databases and restricted for peer-review journal publications. The resulting publications of each search was consolidated using 2Mendeley citation manager where duplicates were removed. Following the removal ofduplicates, we reviewed the article’s title and abstracts against the following research contextinclusion criteria: (1) participants in P-12 engaged in a STEM intervention with some focus onengineering, and (2) the measured affective view(s) focused on the views of the student as itrelates to engineering not the teacher, facilitator, or educator. Lastly, we scanned the remainingarticles’’ full-text against the
searching. Educational Psychologist, 39, 43–55.Hofer, B. K., & Pintrich, P. R. (1997). The development of epistemological theories: Beliefsabout knowledge and knowing and their relation to learning. Review of EducationalResearch, 67(1), 88–140.King, P. M. & Kitchener, K. S. (1994). Developing Reflective Judgment: Understanding andPromoting Intellectual Growth and Critical Thinking in Adolescents and Adults. San Francisco:Jossey Bass.King, P.M., & Kitchener, K. S. (2001). “The Reflective Judgment Model: Twenty Years ofResearch on Epistemic Cognition,” in B.K. Hofer and P.R. Pintrich, eds., PersonalEpistemology: The Psychology of Beliefs about Knowledge and Knowing, Mahwah, NJ:Lawrence Erlbaum Associates.King, P. M. & Kitchener, K. S
city in Massachusetts,USA. The 199 participating students worked in pairs and trios. An overview of the curriculum ispresented in Table 1, below. In practice the curriculum lasted 14 days, as teachers provided extratime for learners who needed remediation or extra challenge.We generated data from pre- and post-surveys (N = 120 paired); pre-, post- and follow-upinterviews (14, 17, and two, respectively); students’ design artifacts; and classroom observationsof eight student pairs (including 20 hours of video and 10 hours of screen-capture), all in order toexplore student engagement in practices of computation, engineering, and science. Table 1 Overview of smart-greenhouse curriculum sequence Day(s) Topic