of how to create our own concrete mix, so it was hard to figure out of what and how muchmaterial we needed.”Q 2 Write how this project can be done differently in the future.“One way we could do this project in the future would be to use all 3 of the foam cores to seehow it effects the mass and load testing.”“As well it would make the lab better if we were able to test a ball and then make another 3designs to see what we would like to change while having a baseline to reflect on.”“One thing that can be changed about this lab in the future is to use a different type of mold thatis not 3D printed, it was easy to break/crack while releasing the dried bowling ball from themold.”Q 3 Please provide any other comment or feedback.“The overall lab was
Size 2015 4.4, N=155 5.8, N=1217 *** p < 0.001 Large, d = 0.79 2016 4.6, N=172 6.0, N=1128 *** p < 0.001 Large, d = 0.84 2017 4.3, N=216 6.0, N=1296 *** p < 0.001 Large, d = 0.94 2018 4.5, N=213 6.2, N=1069 *** p < 0.001 Large, d = 0.85Table 3e. Student work level. Historical comparisons for transfers and FTFY students. Worklevels are self-reported on students’ applications, reflecting work prior to Cal Poly attendance.Work hours levels are self-reported on students’ Cal Poly applications. Hours were higher fortransfers than for FTFY. The difference is significant, and the effect size is large
identify as female, and 8% of students identify as Black, African American,Hispanic, American Indian, Native Hawaiian, or Pacific Islander.Results & Discussion: A total of 18 groups of students participated in the escape room, of which 6 groups were ableto successfully escape. A 30% success rate suggests that the escape room activity provided achallenge for the students at an appropriate difficulty. This is also comparable to commercialescape rooms which have reported a similar success rate of 26% [3].Effect of experience on communication and collaboration: Students were asked to reflect and rate the effectiveness of their teamwork andcommunication. The responses in the survey were divided by students who reported succeedingin the escape
improvement from week 6 to week 8. However, no further progress wasseen in solving difficult problems beyond week 8.When evaluating the internal consistency of the formative assessments for all eleven items usingCronbach’s alpha with 61 samples, the result was α = .88. The score falls in the range forCronbach’s alpha scores from .84 to .90, indicating the test is reliable using the criteria from [13].The assessment scores from the five assessments reflect students’ learning progress. As indicatedin Figure 2, students’ performance increased steadily from week 6 to week 8 followed by a plateauafter week 8. This can be partly explained by the students’ practice methods. Throughout weeks 3and 7, students were assigned daily homework to help them develop
. Represents how a person processes information. Thinking means that a person makes a decision Thinking – mainly through logic. Feeling means that, as a rule, he or she makes a decision based on Feeling emotion, i.e. based on what they feel they or should do. Reflects how a person implements the information he or she has processed. Judging means that Judging – a person organizes all of his life events and, as a rule, sticks to his plans. Perceiving means that Perceiving he or she is inclined to improvise and explore alternative options.Appendix C: Strength Results by Academic MajorTable C1. Student Strengths results by Academic Major. The darker the green shading, thehigher the weighted
as the average of all items. Previous research efforts have shown that thismeasure of outcome expectations is directly related to social cognitive outcomes, includingpersistence intentions [36], [45]. Good internal reliability for the three items was obtained withCronbach’s 𝛼 = .90. Engineering Identity. The Identity as a Scientist instrument developed by Chemers andcolleagues (2010) was adopted and modified specifically for engineering to reflect a student’sself-identification as an engineer. Participants’ engineering identity was measured using three ofChemers and colleagues’ [46] original six identity items. Items were rated on a scale 7-pointLikert scale (1-strongly disagree to 7-strongly agree). Participants indicated their
, are both described in Table 1. Table 1. Initial Themes Relating to Student Awareness of Macroethics in Aerospace Engineering Theme Definition Example Excerpt Sees Both Sides Students feel that there are valid “I believe it is a poor reflection on the (Acceptance) arguments on “either side” of community but is also important to ethical dilemmas within the field. understand that military spending has been fundamental to finding new advances that help the world outside of
by the National Science Foundation (NSF) underGrant No 1564768. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NSF.References[1] National Science Foundation, "Sophomore fast-forward: A summer bridge program to support retention in engineering," [Online]. Available: https://www.nsf.gov/awardsearch/showAward?AWDID = 1564768HistoricalAwards = false. [Accessed 10 5 2021].[2] K. Evans, M. K. Orr, D. E. Hall and M. Desselles, "S-STEM summer scholarship for a sophomore bridge: Year 1 in review," ASEE Annual Conference and Exposition, 2018.[3] K. Evans, M. Desselles and M. K. Orr, "Year 2 of an S-STEM Summer Scholarship for a
, findings, and conclusions or recommendations expressedin this material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References[1] M. Welch-Devine, A. Shaw, J. Coffield, and N. Heynen, “Facilitating Interdisciplinary Graduate Education: Barriers, Solutions, and Needed Innovations,” Change: The Magazine of Higher Learning, vol. 50, no. 5, pp. 53–59, Sep. 2018, doi: 10.1080/00091383.2018.1510268.[2] D. Boden and M. Borrego, “Academic Departments and Related Organizational Barriers to Interdisciplinary Research,” Higher Education in Review, no. 8, pp. 41–64, 2011.[3] M. Borrego, D. Boden, and L. K. Newswander, “Sustained Change: Institutionalizing Interdisciplinary Graduate
thatsocially categorizes individuals, recognizes biological differentiation, creates social and culturaldifferences in behaviours, mannerisms, trait characteristics, and so on [13], [14]. Members ofgender groups form a set of social norms for evaluating the grouped individuals andstandardizing a set of beliefs about them (i.e., gender stereotypes) [14]. Gender stereotypes notonly reflect the general expectations about group members (e.g., boys, girls, men, and women),but also influence who they should be, how they perceive differences among each other, and howthey should behave [15].The concept of gender identity varies throughout the literature (e.g., [10], [14], [16], [17], [18]),with some researchers arguing that it is a stable concept and others
. Specifically, havingthe flexibility to procrastinate on completing work for their portfolio led some to wait until later in thesemester to build their portfolio, thus driving them to somewhat ‘cram’ their learning in as they would havehad to before an exam, and leading to less of a long-term connection with the concepts themselves.The overall reported positive student experience with the ungrading approach was demonstrated throughtheir feedback, with many students reflecting on how the approach to assessment allowed them to betterfocus on the course content as well as experience lower levels of stress during the semester: - “I feel like I really learned in this course because I was challenging myself with solving the problems because I
components: socialand economic sustainability. As a result, the lack of social justice in infrastructure systemsunequally impacts various communities through a variety of processes, including eviction,exposure to environmental danger, and lack of access to essential services. While engineers andpoliticians base their choices on technical and engineering criteria, stakeholders' decisions—which reflect present economic and political frameworks—exacerbate social and racial inequities[8]. In order to solve these issues and build sustainable, resilient, and equitable infrastructures,project team members must be appropriately qualified with the required competencies. Thisstudy advises that all students in construction management (CM) including students
SHPE’s Virtual STEM Labs: Engaging and inspiring Hispanic youth to pursue STEM degrees and careers.Background/MotivationSolving the world’s most pressing and complex issues, including the recent pandemic, climateand environmental challenges, and sustainable economic development, is dependent on scientificinnovation. This need is reflected in Science, Technology, Engineering and Mathematics(STEM) occupation growth which has increased 79% since 1990 and is projected to grow by10.8 percent by 2031 [1]. To meet these labor market demands, the United States hasconsistently invested over $500 million dollars in STEM education specifically since 2019 withan emphasis on programs that increase participation of
]. Eudaimonic well-being refers to self-realization, choosing to engage inchallenging activities and continuously seeking opportunities for personal growth [5]. Thesethree forms of well-being have been shown to correlate highly with one another [8] and clusteronto a higher order latent construct. Based on the literature, this study considers the full extent ofwellbeing by creating a composite measure that consists of constructs such as satisfaction withlife, positive affect, and self-efficacy-resilience.PISA evaluation considers wellbeing as a multidimensional construct consisting of subjective aswell as material components that should reflect students’ lifestyle and quality of life [9]. Thisstudy specifically focuses on three main elements in PISA
assesses the five motivation constructs as averages and allowsus to examine the scores relative to one another. Generally, scores from 4.5-6 are consideredindicators of positive learning environments. The scale is most effective when comparing acrossthe same sample because individuals can have different perceptions of scale in the Likert-styleanswers. The overall results can be seen below in Figure 2 and reflect positive learningenvironments across all constructs.Figure 2. MUSIC Model Results for the SOAR Internship Program MUSIC Model of Motivation Empowerment Success Interest Usefulness Mentor Caring DOOR
publication. Writing that doesn’t directlyapply to ongoing work frequently needs to be justified, and writing assignments that have buy-inare those most closely aligned with current needs. Class time is often used to break down andpractice steps in the writing and speaking process to equip students to tackle their own academiccommunication tasks. Through the practice of writing methods for example, attempting toreverse outline a few paragraphs, students gain the tools to make progress on their drafts. Otheractivities involve close analysis of exemplars across fields and genres. Finally, both in class andindividually students are provided with materials to motivate reflection on the broaderimplications of their research contributions and to support
reflect students’ lived experiences?RQ2: How can serious games like Next Stop provide an opportunity for students to experiencecomplex transportation engineering and urban design collaborative problem solving?RQ3: What is the role of playful experiences in engaging students into difficult conversationsabout complex engineering problems that affect their communities?We intend to conduct interviews with bilingual students about their experiences with the gameand how they identify as an engineer through self-efficacy STEM student measures [28]. Thesedata sources will help us explore the ways that games can shift students into the mindset of anengineer and how best to meet the educational materials needs of multilingual students. We willalso video
marketing costs. 4. Encouraging the student teams to make a comparative evaluation of the various manufacturing techniques that could be employed for producing the same product expands their ambit of thinking. 5. Encourage the team to think beyond the immediate need. Ask them to explore the possibilities of fulfilling multiple objectives with the same product. 6. Provide guidance on how to present easy, organized information. For example presenting their entire budget structure or the revenue model over a 12 month period. 7. Opening the submission format to include videos enables the students to visualize their product pitch and thus reflect and improve on their presentation skills. They could be
variousmethods, such as content analysis or citation analysis. The results are then presented in a visualmap or table, providing an overview of the research landscape in the field, identifying knowledgegaps and areas of potential future research. We look forward to conducting such a study, so wecan learn and grow as a BIM and AEC community.ConclusionsWe believe that research and reflective practice are crucial for evolving the field of digitalconstruction. We believe that research generated by students and academics at TU Dublin ishelping improve the knowledge base in Ireland. The research that is available via the university’sdigital repository is helping the TU Dublin community share knowledge with others, as are thestudents and teachers who prepare
collected but not reported upon here.Results In Study 1, we looked at the self-reported interactive active learning survey data, andfound that instructors at community colleges are more likely to opt for interactive types of activelearning with 84% using interactive activities versus 69% of their counterparts at 4-yearuniversities, as shown in Figure 2. Unfortunately, we did not have a large enough sample size ofcommunity college instructors to find this difference at a statistically significant level. In Study 2, our observational data reflects a varied frequency and breadth of ways activelearning is implemented in STEM classrooms. Across the 24 classrooms observed, activelearning was recorded 67 times. The mediums of active learning
York College. Her primary interests in SOTL are conceptual learning/misconceptions, curriculum integration, and reflective learning.Dr. Stephen N. Kuchnicki, York College of Pennsylvania Dr. Stephen Kuchnicki is a Professor of Mechanical Engineering and Chair of the Department of Civil and Mechanical Engineering at York College of Pennsylvania. He has taught at York College since 2008, mainly in the areas of solid mechanics and materials.Dr. Scott F. Kiefer, York College of Pennsylvania Scott Kiefer has spent the past twenty-one years teaching mechanical engineering at four different col- leges. He started at the University of Puerto Rico at Mayaguez in the traditional role of teaching and administering a modest
bakedeach material conforms to the shape of the terrain itself as op- using Unity’s progressive GPU lightmapper tool. Each sceneposed to rendering based on worldspace height. In contrast, the also utilizes a reflection probe to provide an accurate cubemaptop of the terrain model is rendered by projecting tiling textures for the water simulation’s reflections.and normal maps based on the mesh’s normals and worldspaceheight. Essentially, the angle and height of a particular spot onthe terrain mesh dictates what material will be painted. For ex-ample, in our sample scene grass cannot be painted on a steepcliff-side.3.3 Scaling CalculatorDue to the steep performance cost of rendering terrain in Unityat a true one-to-one scale, it was
presents a reflective view of ten-years of performance in engineering at a singleinstitution. Although there are more than four thousand students represented in the dataset, itshould be noted that a single institution may limit the direct transfer of conclusions to otherinstitutions. Likewise, engineering is a unique test bed for this analysis due to the lack ofrepresentation of non-White and non-male students. This duality in minoritization can result inunique trends specific to engineering. However, the authors hypothesize that these data may betransferrable to other institutions and disciplines due to the nature of higher education andchallenges in the first-to-second year transition that are documented in literature [9], [10].Furthermore, the
3.8 to 4.6 over the semester, showing that the average student came in with someinterest in the topic. Figure 8 also shows that the experiment was successful in teaching generalknowledge about climate change and carbon removal technology. The reported level ofknowledge increased from an average rating of 3.4 to 4.3. According to the survey data, an IBLexperiment in laboratory was successful in educating students on skills and also increasedinterest and knowledge of the contextual problem.Figure 8: Student reflections on their level of knowledge and interest in climate change andcarbon removal before and after experiment, measured on 5-point Likert scale (1= Veryunfamiliar, 3=Somewhat familiar, 5=Very familiar), and plotted on a scale from 3
, reflections, and student self-directed projects. A smallsampling of those articles is provided in Table Two and it can easily be filled in with morecurrent work.The course was only offered once and with a small enrollment, so it is difficult to provide muchin the way of assessment data or even suggestions for the next course offering as the graduateprogram was closed. One student in the course did take the course paper and expand it into amaster’s thesis topic looking at the role of altruism and its motivations. He conducted qualitativeresearch with interviews and analyses of motivations for alumni giving in higher education andconsidered what of those drives might be significant for future general AI. Table One: Initial
students to spread out and sit where they felt most comfortable. Given this limitationthere was less group discussion and this was reflected in overall lower scores on the multiple-choicequestions.Another area for future improvement is tracking the scores on the multiple choice questions duringthe individual answers as well as the answers after the group discussion. Currently the individualanswers are replaced by the new answers. These data, combined with questionnaire response aboutgroup discussion, will offer valuable insight into the effectiveness of group discussion.Typically this course has a high drop, fail, withdraw rate (DFW), generally less than 60% of the stu-dents pass their first time talking this course. Active learning interventions
literature, problem solving, timemanagement, etc…) and 2) to ramp up research project (learn more about the topic, begin initialexperiments, etc…).As students entering Research I: Engineering may be at different phases of the project, phases oflearning material, and previous exposure to specific learning material, goals and progress areassessed individually through a series of assessments shown in Figure 3. Figure 3. Assessments for Research I: Engineering that target time and project management. Each level decreases in frequency (daily, weekly, monthly) but increases in weighting.A “WID/WIN” stands for “What I Did / What I Need” and is a daily reflection that answers fourquestions: 1) What did I do today? 2) What will I do tonight to progress
development and a series of interviews intended to add aqualitative layer of explanation for the results obtained in previous activities. The focus groupsessions will implement the Engineering Professional Skills Assessment (EPSA) to measure thedevelopment of professional skills such as communication and teamwork. As part of theassessment, groups of students – ideally from the pool of survey participants – are presented witha scenario.AcknowledgementThis study is supported by the National Science Foundation (NSF) Award Number [de-identifiedfor review]. Any opinions, findings, conclusions, or recommendations expressed in this materialare those of the authors and do not necessarily reflect those of the NSF.References[1] P. Steif, and J. Dantzler, (2005
more duct tape! Institutionalization of ADVANCE initiatives. American Society for Engineering Education Annual Conference Proceedings, Columbus, OH. https://peer.asee.org/28706[10] Padden, C., & Humphries, T. (1988). Deaf in America: Voices from a Culture. Harvard University Press.[11] National Association of the Deaf. (2019). Community and Culture – Frequently Asked Questions. https://www.nad.org/resources/american-sign-language/community-and-culture- frequently-asked-questions/[12] Najarian, C. G. (2008). Deaf Women: Educational Experiences and Self-Identity. Disability and Society 23(2), 117-128.[13] Burke, T. B., & Nicodemus, B. (2013). Coming Out of the Hard of Hearing Closet: Reflections on a Shared Journey
related to mental health, were not something that was discussed. Future work will includeconducting the same interviews with students from a variety of achievement levels andsocioeconomic background to get a more nuanced understanding of these groups of students andgain a greater understanding about how grades may or may not influence students’ identityformation as engineers.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under AwardNumber DUE #1950330. Any opinions, findings, and conclusions, or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References[1] J. Heywood, The Assessment of Learning in