venturi meter experiment is shown inFig. 5. For each question, assessment scores of post DLM activity are greater, which indicates animprovement in the student conceptual understanding. Q1 is a remember/understand levelquestion in Bloom’s taxonomy [12] as it just requires recalling the facts about fluid continuity.Students usually get to know this type of question very well through traditional lectures, whichare reflected by the high average score in the pretest. Therefore, room for improvement inconceptual understanding is limited. But we still see ⁓6% improvement in the post DLMassessment with a small effect size. In Q2, students were asked to select the most realisticpressure profile along the axis of the venturi. This is a very high-level
this study, student data on enrollment, academic performance, financial aid, and Pell Granteligibility were provided by the Office of Data Analytics (ODA) at the University of Colorado,Boulder. The data consisted of first-year students admitted into the aerospace engineering majorbetween Fall 2012 and Fall 2017. We selected this six-year period as the department’scurriculum was consistent; the required core courses and course learning objectives remained thesame from year to year. To ensure the data set reflects the impact on courses taken primarilywithin the aerospace engineering department on student persistence and performance, this studyfocuses on first-time freshmen who started in fall terms. Transfer students were excluded fromthe data
engineering research) from start to finish, pushing them out of their comfort zones whilelearning new professional skills and knowledge. When asked to reflect upon their summer researchexperience, students fondly described their experience. Their eyes opened up to the many diversebackgrounds of their peers and professionals. During the outreach project, many students feltuncomfortable interacting with strangers and networking. However, participating in this outreachproject served to encourage many students to continue pursuing their chosen career path. Thispaper describes the outreach project and its impact on REU students in more detail.The purposes of the paper are as follows:1. To provide detailed information on the integration of the outreach
impacted by the pandemic. Along with retirement and economic expansion, thisskills gap is widened by a lack of programs and curricula designed to attract a skilledmanufacturing workforce [1]. Traditional curricula, however, tend to focus on a specific discipline,limiting students from seeing manufacturing as part of a systemic process and places a heavyemphasis on the growth of students’ technical knowledge and skills, leaving transferable skillsdevelopment to the workplace [4]. Nonetheless, today’s manufacturing industry values well-rounded employees who can think reflectively and thrive in team environments. Thus, it requiresemployees to have both technical and professional skills [5]. Communication, system thinking,and problem-solving skills
teaching concepts such as creativity [24], [25], reflection [31], systemsthinking [25], and approaching a problem from multiple different angles or perspectives [32],[33]. The studies also emphasized expanding the tools students used to solve these complexproblems by discussing learning objectives related to topics such as abstraction [34],unstructured problem-solving [25], and more complex classroom tools [35]. These differentapproaches show that many educators across the literature were concerned with broadening howstudent approach solving difficult problems.Broader Perspectives: Adding to this broadening of problem-solving methods, were studies withthe goal of providing students themselves with broader perspectives on how STEM fields affectthe
long history of assessing inclusion, and reflected in this history is a wealth ofinclusion-related scales that differ in their purpose, focus on certain psychological constructs,intended audience, type of entity, and abstractness [1] - [3]. Although there is great appeal tousing an existing scale that has been shown to be valid, reliable, and generalizable, there aredisadvantages when needing it to be well-suited to a group with unique characteristics, such aswe describe exists at a National Science Foundation (NSF) Engineering Research Center (ERC).Understanding ERCs. An NSF ERC is a multi-institutional entity that consists of faculty, staff,postdoctoral scholars, and students (graduate and undergraduate) from several universities andacross
initial themes could be grouped into larger themes themselves, which shedocumented via the thematic maps. Throughout this process, she continually checked the themesback against the data. During the construction of the “persistence” thematic map, she identifiedwhether any of the themes could be categorized as resistance, and reflected that in the map.Finally, she wrote up the analysis.Results and discussionHere we highlight the major themes around exclusion and persistence of the international studentparticipants. The themes around exclusion shed light on RQ1, defining some of the challengesinternational students face in engineering programs. The themes around persistence relate toRQ2, showing some of the work these students do to persist despite
, the early developmentof an identity as an engineer is likely to support the long-term choice of engineering as a career[25]. Part of a student’s professional identity stems from their sense of belonging. This sense ofbelonging can be related to how included they feel, which encompasses their views onrepresentation within the field or the social pressures they feel from both peers and mentors. Thisgoes beyond a student’s abilities or external sources of motivation and is a reflection of theirinternalized conception of self. If a student does not feel that they belong on a learning track,degree path or ultimately in the profession (i.e., professional identity), it does not matter howconfident they are in their knowledge and skills (i.e., self
a testbed had on the students was tremendous as most ofthem were able to experience the importance and criticality of what they have been learning andhow they can apply it. The exact same concepts and assignments immediately became more inter-esting after seeing a real-life scenario of a power system. Being exposed to the various power gridcomponents and related issues, working with the SG-REAL gave the students a deeper sense ofimportance, value, and need for their skills, which positively reflected on their engagement in theclassroom. For example, students performed significantly well on one very closely related assign-ment that involved multiple attack steps between the two machines, including password crackingand Ping flooding attacks
fromtalent identification up to bachelor’s or master’s degree completion. This paper outlines thedevelopment, implementation, and evaluation of the Holistic Programmatic Approach for Transfer(HPAT) model. The model is built on a well-thought-out program design reflected in a transferarticulation agreement and a joint commitment to quality and student success. Integral to theapproach is the requirement that the rigor of the curriculum at the community college matches thatof the 4-year partner. In addition, faculty, administration, and staff work synchronously andcollaboratively to provide intentional student support at each institution, with financial assistanceup to the master's degree completion. Holistic student support implements the
Technology (ICAT). Her research interests include interdisciplinary collaboration, design education, communication studies, identity theory and reflective practice. Projects supported by the National Science Foundation include exploring disciplines as cultures, liberatory maker spaces, and a RED grant to increase pathways in ECE for the professional formation of engineers.Dr. David Reeping, University of Michigan Dr. David Reeping is a Postdoctoral Fellow with the Engineering Education Research Program at the University of Michigan. He earned his Ph.D. in Engineering Education from Virginia Tech and was a National Science Foundation Graduate Research Fellow. He received his B.S. in Engineering Education with a
𝑊 = ∫ 𝑝𝑑𝑉 𝑉𝑖 The interview protocol was broken up into three separate stages (Figure 2) thatprogressively investigated students’ interpretations of the first law and the provided interviewprompts. To start, participants were asked open-ended questions about the first law ofthermodynamics to better understand how they conceptualized the first law prior to any furtherprompting. Afterwards, students proceeded to separately address one in-discipline and one out-of-discipline interview prompt. Interview questions during the second stage were modeled afterthe dynamic transfer framework [22] by first asking questions that primed students to identifyrelevant target tools and to reflect on their
school is right for them, and also promote professionaldevelopment of the faculty member. It is recommended that higher education institutes promoteindependent studies to improve their visibility while faculty, especially at teaching institutes, useit as a vehicle to continue to engage in fundamental research for professional development. Theparagraph below is the reflection written by the student at the culmination of this study.“Through this independent study, I gained invaluable experience with applying theory to a real-life scenario through modifying/improving the dimple(s) based on the flow structure studiedusing computational methods. Upon commencement of the study, I had limited experience usingCAD software and no experience in executing
Kudo Cards to praise students for their achievements, critical reflection journalingand collaborative inquiry to improve teaching practice, and formation of a cross-institutionalaffinity group among EESTEM II participants to magnify equity-mindedness by developingequity agents. A total of 72 people attended the webinar out of the 128 registered. Seventeen oftwenty responses to the post-webinar survey indicated that the webinar exceeded or mostly mettheir expectations for learning how to build equitable learning environments in CTE and STEM.Fifteen agreed that their confidence level for implementing strategies to foster an equitableSTEM/CTE learning environment improved. All participants agreed that some or many of theirquestions were answered
capture students interest in and perceivedvalue in learning EE. The questions asked how likely students are to major in EE, if learning SSin interesting, and if students think learning the different SS topics will benefit their career.For both instructional variables, we use subjective student opinions rather than a measure of theteaching style or amount of homework assigned; our commentary is not meant to reflect on thequality of the given instructor. For the instructional quality variable, we use responses to aLikert style question that asked students to rate the overall quality of instruction in SS. Forinstructional quantity, we asked students to self-report the average numbers of hours they spenton homework each week and what percentage of
nationally representative surveyon postsecondary faculty, and thus results from our study reflect data from more contemporarycohorts of faculty. In addition, the ECDS has comprehensive data, including demographic andindividual-level factors, PhD institution and program characteristics, and measures regardinghow well PhD programs prepare students for their faculty position in terms of skill sets. Theseaforementioned variables are aligned with our adapted theoretical framework (Fig. 1). We restricted our analytical sample to individuals with a science, engineering, or socialscience PhD, and to those who hold a teaching position within the U.S. Thus, our sampleincludes tenure-track faculty, lecturers and other non-tenure track teaching personnel
discussion wasutilized, leading to a 100% agreement at the end. Researchers shared the same intention oflooking for figurative language and other instructors’ stylistics. First, researchers read a randomsample of 10 video transcripts and developed initial categories that were used to code the rest ofthe videos. The first round of codebook analysis revealed three initial categories: figurativelanguage, technical figurative language, and teaching style. In the second round, researcherswent through all the excerpts coded as figurative language and developed further categories ofcodes reflecting the figurative language type. The codes created in the first and second roundsare shown in table 1. The following metaphors and figurative language were
to completing the exam. The remaining 25 minutes of exam periods werereserved for students to reflect and complete a survey about the flipped course format. The surveyresponses were anonymous and collected in an envelope handled by the students.Prior to flipping the course in 2019, ENGR 383 was taught in the traditional lecture-based format forwhich students were expected (but not required) to come to class and take notes. In this format,students were graded on weekly homework assignments and a single group project, as well as threehigh-stakes exams, the last of which was a long comprehensive final exam. Student participation,which was not graded, was limited to responding to the instructor’s timely questions, sometimesvolunteering with a
theinterdisciplinary nature of M3 , this production paradigm calls upon a variety of skills acrossMaking (e.g., programming, digital fabrication, basic electronics tool use, and theory) along withproduction engineering concerns (e.g., volume production and supply lines). Altogether, M3illustrates a means for how to design and produce a wide array of products that can reflect theinterests of both creators and consumers. Through M3 , creators’ production process can gobeyond the traditional ’boutique’ manufacturing approach (i.e. the production of a singlyproduced, specific artifact) to the production of many.M3 as a production approach has implications for how we might educate students starting fromhigh school for jobs, education, and leadership roles that
equitably with female students.MethodsData CollectionThe study presented here is part of a larger research project, investigating what contributes todissatisfaction of female students in teams. As a part of that study, we first interviewed fifteenfemale students before interviewing five male students; prior work presents an analysis of thefemale student interviews (Hirshfield & Fowler, 2018), and this paper focuses on the findingsfrom the interviews with male students. Students were first asked to reflect on their projectexperiences, answering questions about their project, their team, how their team divided up theproject work, and if there was anything they wished they had done differently in the project.Next, students were shown a graph
the small sample size and the need to account forsample variation between pre- and post-surveys. Statistical significance, including the Bonferroniadjustment, has been reported. Responses from open-ended questions were also included in theanalysis.4. Results4.1 RQ1: To what extent did the program impact teachers' self-reported confidence in theirresearch-related skills? Table 1shows pre- to post- confidence change for research-related statements. The tableshows an overall increase in confidence for all the statements with some statistically significantimprovements. “Understanding content of technical/research journals” confidence shows astatistically significant increase (p ≤ 0.003), reflecting the effort placed in helping teachers
research strategy enabled both statistical analysis ofparticipants’ quantitative ratings, as well as individual student’s rich personal reflections on theirown experiences and leadership development to be compared with other participants [20, 21].Our study adheres to an approved Institutional Review Board (IRB) protocol.Participant DemographicsOur first cohort of ExCEL scholars consisted of six male students, with two identifying asHispanic/Latino. Scholars varied in terms of their math preparedness, with two previouslycompleting Advanced Placement (AP) Calculus, one completing honors Calculus, and threecompleting Precalculus. Upon entry to The Citadel, scholars’ average score on a math placementexam was 66.7%, with scores ranging from 47.1% to
environments as well as the transition to virtual delivery.Introduction to Engineering Courses at Both InstitutionsLafayette College and University of Delaware are two different types of institutions and thestructure of the introduction to engineering class reflects those differences. Lafayette College is asmall, undergraduate-only institution with a total enrollment in the introduction to engineeringcourse of around 200 students in 2020. At Lafayette College, introduction to engineering is afall-semester course where students are assigned to two modules with each module lasting forhalf of a fourteen-week semester. This course is required for all engineering students at LafayetteCollege and students receive a full course credit for the course
material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.References[1] Museum of Science. (2021). Engineering is elementary. Available: http://www.eie.org/. [Accessed January 25, 2021].[2] Tufts University, About us: Center for engineering education and outreach. Available: http://ceeo.tufts.edu/about/. [Accessed February 15, 2021].[3] E. R. Banilower, P. S. Smith, K. A. Malzahn, C. L. Plumley, E. M. Gordon, and M. L. Hayes, Report of the 2018 NSSME+. Chapel Hill, NC: Horizon Research, Inc., 2018.[4] S. Brophy, S. Klein, M. Prtsmore, and C. Rogers, “Advancing engineering education in P-12 classrooms,” Journal of Engineering Education, vol. 97, no. 3, pp. 369-387, 2008.[5] M. W
reflections on the guest speakers account for approximately 30% ofthe grade. Reviews of the lectures from the fall 2019 course suggested that students wanted to see moreof the “day in the life of a chemical engineer.” In the fall of 2020, alumni presentations from avariety of industries were added to the lecture schedule. Alumni talked about their job andindustry, the career path, provided advice on life during college and after the degree. This changewas easy to implement because the lectures were operating in a virtual format due to COVID-19restrictions on the number of in-person students allowed. While the students really respondedpositively to the addition of alumni speakers, even in a virtual format, reviews asked for abalance between alumni
offer professional development which shares and reflects on these strategies. These challenges that international students often face are important because mostacademic failures can be traced back to the first year of transition for an international student[13]. Additionally, all of these challenges can make it more difficult for students to feel a senseof belonging on campus, and this is important because this supports students' engagement andmotivation in their studies [10, 14]. While most universities offer some support to students, many large universities have onespecific international organization or center that is meant to meet the needs of all internationalstudents. These large centers focus on the broader student
through distance education in the time ofthe fourth industrial revolution: Reflections from three decades of peer reviewed studies",Computer Applications in Engineering Education, 2020.[8] W. Ibrahim and R. Morsi, "Online engineering education: A comprehensive review,"American Society for Engineering Education Annual Conference & Exposition, Washington, DC,2005, pp. 1–10, 2005.[9] B. Mischewski and A. Christie, "Understanding the feasibility of micro‐credentials inengineering education," 29th Australasian Association for Engineering Education Conference(AAEE 2018), Engineers Australia, p. 758, 2018.[10] C. M. Stracke, and A. Bozkurt, "Evolution of MOOC designs, providers and learners andthe related MOOC research and publications from 2008 to
explanations. The whiteboard in the classroom was not used during lectures other than to project lecture slides onto it. This was decided based on the image quality especially for students joining the class via Zoom meeting. • During in class problem solving, instructors demonstrated how to solve example problems using the same problem solving strategy used in physics class (outlining problem definition with given and identifying what to find, listing appropriate assumptions and coming up with a solution plan/method, solving the problem, and reflecting on the results). • The assigned textbook is the 8th edition of Fluid Mechanics by Frank M. White [15]. Throughout the semester, reading materials were
-generationstudents (FGS) Hao [66] states: “I made a conscious effort to talk to my FGS individually during office hours to discuss their progress in class and ask them if I have met their pedagogical needs. Some of the questions I asked were: Is the pace of the class working for them? How are the readings so far? Do they face significant challenges with the assignments? … there are so many unwritten rules of the academy that FGS must learn on their own without the parental or family guidance that their peers typically have, we must serve as mentors to these students.”I tried these approaches in my introductory engineering course for first-year students. The initialassignment in the course asked the students to reflect on their personal
of professional valuesand attitudes). According to Eaton et al. [1], some teaching activities in the online environmenthave “the potentials to cultivate deeper learning experiences, but they can fail to do so ifactivities are not designed and implemented properly.” The rapid switch to online instruction inMarch 2020 did not allow faculty members to train, plan and reflect upon the best teachingmodes for online instruction, unless they had previously taught an online class. Therefore, aswith many other researchers, we consider the Spring semester to be an example of remotelearning rather than planned online learning [3].In October 2020, the Chronicle of Higher Education conducted a survey among faculty membersin US institutions to gain