some cases a fourthcomponent, self-awareness.Black Student STEM IdentityBlack student STEM identity (BSSI) is situated within the context of the external and internalenvironments where Black STEM students perceive their reflective identity (how they viewthemselves), their competence and ability, their values and interests, and their assimilation intoSTEM culture. These four perception components are influenced by Black students’ gender-based racial identity.SignificanceDrawing from existing literature, we seek to identify overlapping elements in ET, EI, and BSSI.We are developing a culturally relevant theory of Black Student Thriving in Engineering(BSTiE, pronounced “bestie”) situated at the cross-section of the aforementioned theories. In
the female gender being mostly inclined to including it intheir training plan, but not so the male gender.Complementary findings were revealed when analysing the interviews, reflecting indecisionwhether to include it as an elective or a compulsory course. ID profiles 1, 2, 3 and 4 agreethat it should be voluntary, while profile ID5 mentions the theme should be present across theboard within the same subjects: "Little things immersed within the classes themselves" (ID5)Complementing the above, when consulting on whether to include gender issues in classassignments as such, the survey findings come up with information summarized in Table 3. Table 3. Dimension 1: Gender on the curriculum
provide motivation for student learning (Djonko-Moore et al., 2018;Kelley & Knowles, 2016).Students are expected to develop solutions to these real-world engineering problems by engagingin practices and 21st century skills used by STEM professionals. The development of designsolutions relies on students using and developing an understanding of content from multipledisciplines (e.g., Thibaut et al., 2018). Further, students must engage in engineering practices(Berland & Steingut, 2016; NAE and NRC, 2014). Throughout the iterative design process,students are expected to assess and reflect upon how well their design addresses and responds tothe problem at hand. This includes reflecting on meeting criteria and constraints, but it also
Appendix A for researcher positionality statements). We provide an overview of theresults in the same order as our three research questions.RQ 1. Mentor’s Retrospective Reflection on Key Factors for Engineering StudentMotivation Given her rich experience working closely with engineering students, we were interestedin which factors the mentor found most important for students to maintain motivation throughoutcollege. During the interview, the mentor identified three factors aligned with the MDPs:competence, relevance, and belonging. She recalled that students had an increased sense ofcompetence when they were able to see others similar to them succeed in the field, “that if hecould do it, I could do it, or if she could do it, I could do it
-engaged learning, a sub-set of experientiallearning [6,7,8]. Also called service-learning, community engagement seeks to combine effortsto meet community needs, connection to academic material, reciprocal relationships and mutuallearning between all stakeholders, and intentional reflection [9]. Within engineering, this canoften be described by the Model of Project-Based Community Engagement [10]. While thiseducational approach has made great strides in recent decades, further scholarship can help itovercome remaining resistance and more fully reach its potential. There is a particular need tofill gaps in the literature related to how such programs are implemented at scale in an integratedmanner [11]. Incorporating additional voices of program
researcher parsedrecommendations into segments (phrases or sentences). Each segment was coded independentlyby two researchers using the SPR codes. Interrater reliability (IRR) was calculated as the numberof segments that reflected agreement between the two raters divided by total segments. Althoughsome 200-word responses included the same code more than once, any one code was onlycounted once per response. IRR between the two coders was 70%. Although no standards existfor inter-rater reliability for qualitative data, a reliability rating of r= 0.70 on open-coding ofphenomenological data can be considered an acceptable cut-point [18], [19].Data AnalysisAfter IRR was determined, analyses were conducted only on segments upon which both codersagreed
features in the product, as well as a storyline of the development process withsome enabling and challenging factors. The cases were all similar in length, roughly three pageslong, and included pictures from the project and of the product.2.2 Data collection and analysisThe data used in this study was collected from 115 student responses to an assignment wherethey were given an individual task to “reflect on three out of the six PESTEL dimensions'' oftheir chosen case. The students had been given the task after being introduced to the PESTELdimentions in class. They were requested to make at least two justified connections perdimension. Students could freely choose which three dimensions they wished to reflect on.Table 1. An example of the
interest and engagement in interdisciplinary research. Aliterature survey of effective training approaches for co-creation and associated educationaltheories is summarized. For students, essential training components include providing (i)opportunities to align their interests, knowledge, skills, and values with the topic presented; (ii)experiential learning on the topic to help develop and enhance critical thinking and questionposing skills, and (iii) safe spaces to reflect, voice their opinions, concerns, and suggestions. Inthis research we investigate the adaption of project-based learning (PjBL) strategies and practicesto support (i) and (ii) and focus groups for participatory action research (PAR) as safe spaces forreflection, feedback, and
of 53 first-year students during the fallsemester of 2020. Virtual teaching and learning environments were required across this institutionto comply with the social distancing and lockdown requirements enacted by the federalgovernment in response to the Covid-19 pandemic. . As part of the coaching platform, students inthese two classes had access to an online mentoring community of 32 members from academiaand industry. The professional development workshops were also provided in a virtual format yetsynchronous format to support engagement with the facilitators and among peers. Students wereasked to complete an online pre-semester survey, develop feedback essays, and respond to self-reflecting open-ended questions to gather substantial data
interviews were conducted via Zoom, each lasting approximately an hour. Thesemi-structured style interviews were designed to gauge the students' reflection on theirexperiences inside and outside the classroom and how those experiences influenced theirprofessional development. The interviews were recorded with participants’ consent, transcribed,and deidentified through the use of participant pseudonyms. Data AnalysisAn initial base of familiarity was established with the transcripts of interviews through theprocess of memoing [23]. An inductive analysis approach was used while writing these memos,emphasizing how students spoke about their involvement and what factors influenced their initialinvolvement, persistence, and benefits. There were
the lack of diversity within the engineering profession; female students and students of colorremain underrepresented in STEM majors and STEM careers [2]. The population of studentswho major in the STEM fields and who enter STEM careers do not reflect current demographicsof the United States population. Despite progress in gender and racial equity in STEM careers,STEM fields have historically been and continue to be dominated by white men, particularly inengineering, computer sciences, and physics [2]. For example, although women and men receiveundergraduate degrees at about the same rate, women account for only 30% of all STEM degreeholders and have particularly low representation in engineering [3], holding just 12 percent ofengineering
? Figure 1. Requirements as the Pivot Point Between Problem Framing and Solving in DesignFrameworkWe agree with Dorst [4] that engineering design is a concurrent and iterative process of bothframing and solving problems. Problem framing, especially early in design problems, oftenrequires translating between qualitative and quantitative frames. This move from qualitative toquantitative representations is reflected in the descriptions of the design process found innumerous design texts [5]–[8] and in the research literature on designing [1], [9]–[11]. Intranslating from qualitative to quantitative representations, the ability to develop and setrequirements is essential to the framing of problems.Further, we contend that the technically-focused work
Paper ID #36589Work-in-Progress: A Collaborative Model of Teaching andLearning for Undergraduate Innovation EducationJackson Otto (Graduate Student)Greg J Strimel (Assistant Professor, Engineering/Technology TeacherEducation) Assistant Professor, Technology Leadership & Innovation at Purdue University © American Society for Engineering Education, 2022 Powered by www.slayte.com Work-in-Progress: A Collaborative Model of Teaching and Learning for Undergraduate Innovation EducationIntroduction:A student’s education today should reflect the evolving innovative nature
Bloom’s taxonomy shines light on learning outcomes that require higher-order thought processes. This promotes more meaningful learning and application of knowledgefrom the students throughout the course. [7]Another crucial aspect considered when developing Biophysics is the use of active and passivelearning techniques. Passive learning occurs when students receive information from theirlearning environment without receiving feedback from the instructor. It is influential inproducing low-order thinking skills. [5, 6, 8, 9] Examples of passive learning techniques includelectures, videos, simulations without reflection or interaction with instructor or the materialdirectly. Whereas active learning is necessary to produce higher-order thinking skills
holds theglassboard, the overhead light which illuminates both the glassboard and the instructor. There aresidelights that illuminate the glassboard and help to make the writing on the glassboard comealive. In addition, the neon markers are the writing pen of choice because they glow with thelight beamed on them. Other important components of the lightboard system include the blackdrop cloth, the black window blind to help reduce outside light from reflecting on the glassboard.The system also requires the use of the computer camera to capture the video or the use of anexternal camera such as a phone camera or an iPad camera. If using an external camera, a tripodmay be required to set up the camera. Since the speaker is a few feet away from the
connects academics from across the US,including those who identify as disabled as well as those who are working to increase disabilityallyship knowledge and skills, as a means to further disability equity within our own institutions.1.2 A Word about WordsAlthough person-first language, as in ―person/faculty with disability(ies),‖ is often used in theUS, in the United Kingdom, social and physical environments are understood as disabling, thus―disabled person‖ framing is more commonly used. Recent scholarship invites additionalconsiderations regarding ways that language reflects and informs social constructions ofdisability. The term ―dis/ability‖ has been recommended with the assertion that the ‗/‘ ―disruptsmisleading understandings of disability
success in this realm of the study was the reflectionsconducted by the cadets after each outreach event. These reflections enable the students to reflecton their understanding of the material and prepare for the next outreach event. While thesereflections can be subjective, there are some objective measures for determining whether or not amodule was taught more effectively. For example, during each module, the cadets recorded thefinal results of the students’ K’NEX towers (the weight of the structure and whether itcollapsed). Gauging the amount of improvement across all groups is an indicator of the successof a lesson: if students did not improve, then the class was less effective, either because of a lackof engagement or explanations of the
stimulate and reflect theattitude, goals, and measures to promote the development of emerging engineering; 4.The document type shall be laws and regulations, planning, notices, and announcements,etc., which reflect the policy intention. The informal decision-making documents shallnot be selected. Finally, 38 effective emerging engineering policy samples shall besorted out. Table 2 Text list of Emerging engineering Construction Policies in China (Excerpt) The Central Government Number Policy Name Time Departments Notice of recommendation for 1 Ministry of Education emerging engineering
has a short history, it shows an upward trend. Although thebasic theory and cutting-edge knowledge do not reflect unified conclusions, there areobvious clusters in the research hotspots, and reflect some research trends.Keywords: STEM; preservice teacher education; CiteSpace; review1. INTRODUCTIONDriven by technological innovation and increasingly fierce international competition,countries all over the world have sought cultivation programs for innovative talents,STEM education with innovative characteristics had emerged as required. With thecontinuous development of STEM education, STEM teachers were regarded to be theimportant factors in cultivating STEM talents [1]. Many developed countries haveincreased the investment in STEM education
employment during the pandemic [2, 3, 4]. While workersin STEM occupations tended to have both greater remote work capability and were less likely tosuffer job loss at the onset of the pandemic compared to other workers, evidence suggests thatthe value of embodied STEM knowledge, rather than remote work capability, offers the greatestexplanation for the resiliency of STEM employment during COVID-19 [4]. Additionally, workers 1 This paper is based upon work supported by the National Science Foundation under grants DGE-1661278 andHRD-2032147. Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the authors and do not necessarily reflect the views of the National Science Foundation or the USDA
students resolved some of the challenges they faced; 4) students completing a journey map oftheir experiences in their context and subsequently have them present to the group; 5) and finishingup by having the students engage in a reflective writing exercise where they write a postcard to apast self about a time they didn’t belonging in the context and how they overcame that.During this process, we witnessed how these focus groups can serve as a microcosm of whatstudents experienced in the classroom context. Not only is this reflected in how students discuss thechallenges, but we also see this in their body language and how they respond to each other. We havealso seen that some students hold themselves from admitting that they faced challenges
process and confidence in conducting EER reviews. Onementor reflected on the benefit of working with mentees who bring different perspectives onreviews: You don't have to be an expert in the field to be able to provide a useful and constructive review. In fact, in some cases, being an “outsider” gives you a different perspective of things and reflects how the wider audience may interact with a specific piece of research.While the program was initially designed to leverage mentors’ expertise and experience todevelop mentees’ reviewing skills, our evaluation demonstrated that both mentors and menteesderived valuable insights about conducting peer reviews in working collaboratively in theirtriads.A
. Specifically, we synthesize the following guidelines: (1) Planned change theory, likeKotter's change model, is an accessible place to start, but don’t expect the change process to belinear. (2) Embed a community of practice in existing structures and norms, such as facultymeetings. Be creative in bringing discussions of teaching into such spaces. (3) Developmultidimensional measures of student assets, growth, and development. Staying only withmeasures of progress on conceptual learning misses much about students' development aschemical engineers. With regard to supporting students, we also share two key strategies: (4)When teaching technical communication, offer limited but specific feedback and require revisionand reflection. (5) If developing design
Reviews (EOCR’s) held at the end of both Fall2020 and Spring 2021 semesters, faculty reflected upon the impacts and challenges (both presentand future) that remote learning had presented (or would soon create) for our students. In onediscussion in Spring 2021 we noted that Fall 2021 labs in EE would likely be “in-person” andwould require our new junior-level students to have a good working knowledge of laboratory testequipment (e.g. oscilloscopes, function generators, breadboards, digital volt-ohmmeters), beproficient in troubleshooting, and even require students to learn to use relatively unfamiliarequipment (Agilent 35670 Dynamic Signal Analyzers). At that point we considered that earlyassessment of Outcome 6 Performance Indicator #1 (develop
survey and individual interviews wereconducted, analyzed, and triangulated.Our findings indicated that the synergy of the roles of IAIs and TAs revolved around fiveaspects: (i) complementarity of roles, (ii) practical issues that needed to be addressed, (iii)reflective practices to enhance personal growth, (iv) professional development essential forfuture engineers, and (v) perceived student engagement in the course.We argued that the use of a collaborative teaching model integrated with a CoP frameworkpromotes learning as an inherently social and locally-situated. The synergy of the roles of IAIsand TAs indicated a new collaborative teaching model between IAIs and TAs. We believed thatsuch synergy will also be applicable not only during the
material in the pre-session work based on theirprevious knowledge level; more advanced content for those who were already familiar with thesession topics. Participants stated, “I felt like this week’s pre-work material felt a bit rudimentarycompared to the material we’ve already covered for our pre-course reading.” and “I wouldmaybe offer some extra content for people who feel more comfortable with these types oftopics.”Some responses noted that engaging with the content individually and with others impacted theirexperience in the program. For example, “Excellent reading list [… and] connection to othersthrough breakout sessions and Slack servers.” The prep packet and session pre-work allowedthem to reflect upon program topics personally before
ableto permanently integrate these diverse components in other STEM courses such as Statistics forEngineers, Big Data Analytics, and enhance multidisciplinary learning for all majors.This integration of research findings in STEM courses is a reflection of the KDB (Know, Do,Be) framework, as the interns and the students honed their skills not only in content knowledgethrough inquiry, but felt responsible in taking action towards mitigation efforts of climatechange.KeywordsCovid-19; air pollution; STEM; multidisciplinary; sustainability1.0 Introduction © American Society for Engineering Education, 2022Air pollution is one of the major public health concerns that has impacted the urban worldsignificantly1 The meteorological
that reflected theteacher’s values and beliefs about the classroom and her teaching approach, herperspectives on students’ participation in the context of her teaching style and objectives.Subcoding (Saldaña, 2016) was used to assign child codes after a primary code in order toprovide further detail on the parent code (this was especially useful in further analyzingdata coded using descriptive coding) such as when coding for ‘length of time’ studentsengaged in the challenges or when coding for ‘materials’ to provide detail on the nature ofthe materials provided.First cycle coding was completed using the above methods to initially summarize the dataon peer interactions and the engineering challenges. Later, pattern coding (Saldaña, 2016)was
program. They studied Industrial & Enterprising systems, and bothidentified as Latino and first-generation college students. Two data sources were analyzed for thestudy. The first source consists of near-peer mentor journals. These journals were used daily andincluded prompts: "What did your mentees excel at or enjoy today?", "What did your menteesstruggle with or disengage from today?" and "Did anything surprising or unexpected happen? Ifso, briefly describe the situation." The average journal length was about a half-page. At the endof the week, the near-peer mentors were asked to "Reflect on your experiences as a mentor."After the program's conclusion, the second source was a group interview with both near-peermentors. The second source
Circuits CourseAbstract This “Innovation in Engineering Teaching Practices” paper focuses on the developmentof a course module for an undergraduate introductory circuits course that highlightssustainability and life cycles of electric vehicle (EV) batteries. The EV battery module leveragescircuits course concepts, introduces students to sociotechnical material, and emphasizes thecircular economy in electrical engineering. We identify learning objectives for the module,provide pre-class activities and in-class teaching activities for circuits instructors, includingdiscussion prompts and practice problems. We also offer samples of post-class assessments,including reflection and computation questions for homework and exams.Introduction