supported by the National Science Foundation under GrantNumbers 2346868 and 2144698. 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. We would like to express gratitude to Team Y for participatingin this study and for their willingness to open their meetings to us and provide feedback on theinitial drafts of this paper. We would also like to thank Dr. Nicola Sochacka for her insightfulfeedback and discussions as we analyzed our initial data. Finally, we would like to thank themembers of the ENLITE research team who gave feedback to the drafts of this paper.References[1] M. Borrego and L. K. Newswander
judgements), the appreciation of the idea (appreciatingfeedback) and managing the emotions associated with the idea (managing affect). Thus, anappropriate framework for idea acceptance would comprise of the same three areas, justworded to reflect their association to any idea as opposed to feedback literacy. This modelcan be seen in Figure 3. Apprecia�ng the Topic Evalua�ng the Idea Managing Affect Idea AcceptanceFigure 3: The Proposed Idea Acceptance Model. The model contains three dimensions: Appreciating the Topic, Evaluatingthe Idea and Managing Affect. All three dimensions are required to achieve Idea Acceptance.This model is also inspired by the
Communication 161 Total 962Also not reflected in these numbers is the use of our materials by our industrial stakeholders.After working with us as consultants, two of our industrial consultants requested access to thevideos for use in onboarding new employees. We gave them access to our videos, but we werenot able to give them access to our learning management system and the ability to earn badges,since Brightspace usage is restricted to Purdue affiliated users.Table 2 and Figures 1-3 contain selected comprehensive results of the feedback surveys fromstudents in the pilot courses. We chose to present comprehensive results (rather than results byclass, gender, etc.) since our aim for the pilot
overview ofcurrent knowledge, theories, methods, and gaps in the existing research [12]. Topical aspects ofthe research question frame the literature review and provide an understanding of the challengesfacing technical education today. The literature review reflects on and researches the subject andhow the issues contribute to the literature [13]. This literature review begins with knowledgeareas that support improving clean energy educational opportunities for current and futuretechnicians in clean energy industries.Existing literature was reviewed to identify key skills development approaches and strategieswithin the context of the fast-moving and technology-intensive clean energy industry, using athematic approach to consider the following
many of those aspects.(7) An ability to acquire and apply new knowledge as needed, using appropriate learningstrategies: • The single assessment of students’ ability is measured for ABET, using the average of individual student grades for both 1195 and 1199 courses, and it reflects acquiring knowledge required to reach their predefined project solution. For capstone projects, students propose, develop, design, and build a working or almost working prototype solution to a selected, significant, engineering problem. Each project team researches the ideas, various ways to implement, costs, efforts, and their own expertise coupled with their inclinations. Students do their own learning and
manufacturing reflects a desire for more human-centric,environmentally conscious, and community-oriented approaches in response to the social andenvironmental impacts of large-scale industrialization [5, 6]. Additive Manufacturing (AM) emerged in the 1980s as a revolutionary technology for creatingobjects layer by layer from digital models. Its roots trace back to stereolithography invented byChuck Hull in 1983. The 1990s witnessed the expansion of AM applications into variousindustries. As patents expired, technology became more accessible, fostering innovation. By the2000s, diverse materials and techniques emerged, enhancing AM's capabilities. Today, it plays acrucial role in rapid prototyping, custom manufacturing, and even aerospace applications
collaboration to itsinterdisciplinary nature. We bring complementary areas of expertise for conducting rigorous STEMeducation research: Expertise in conducting research on human behavior (specifically student motivation,learning, and STEM pedagogy), engineering content areas, and STEM program development. Ourrespective backgrounds and strengths have allowed us to develop novel assessments of engineeringlearning, while also unlocking large populations for future psychosocial research. When reflecting on thissynergistic collaboration, we realized that our interdisciplinary collaboration is relatively unique and islargely absent among our early career faculty peers. In fact, our collaboration itself was an unintendedproduct of participation in a campus
)functionalnonverbal behaviors, a nonverbal baseline needs to be reestablished and then reinforced beforeincorporating immediate nonverbal behavior training based on these findings. Furthermore, theclassification of nonverbal behavior resulting from this study may lead to applying othercomputational research techniques, such as machine learning, in analyzing our researchquestions.Presenter nonverbal immediacy communicates closeness, indicates liking, signals availability,expresses intensity of involvement, and reflects arousal [44]. Similar immediacy trainings haveoccurred for classroom teachers [45]. This type of presenter immediacy should be the goal andnot the starting point. The extant literature on nonverbal immediacy indicates that presentersshould
study were: (1) What factors enable or hinder theadoption of ChatGPT in embedded systems design education contexts?, and (2) How canChatGPT be best implemented in embedded systems design education contexts? This researchemployed a structured intervention that integrated pre-planned activities involving ChatGPT intothe coursework, as well as allowing students to develop their own ways to use ChatGPT onassignments. Qualitative and quantitative data were collected through observations, surveys, andinterviews, allowing for a review of the tool's impact on student learning. Students were giventhe opportunity to utilize ChatGPT for assignments, provided they reflected on their choice touse ChatGPT or not. Thematic analysis of the interviews and
them in this goal.There are many resources out there to facilitate such dialogues and reflections that faculty mentorsor mentees could use to support these tough mentoring conversations, and the researchers of thiswork encourage interested mentors and mentees to seek these resources out [32]–[34]. By bringingthese topics to the forefront of conversation, we can spark meaningful dialogues surrounding thepositive, inclusive mentorship of all women in engineering disciplines that is responsive to theirintersectional identities, so that faculty advisors of any gender or background can feel morecomfortable in reaching out for guidance in how to support their women mentees. Other dialogues that mentors fostered with their mentees involved
categories. But the surveyresult in Category (3) shows that the combination rates of “Well prepared” and “Very WellPrepared” is around 65%. Category (5), “an ability to function effectively on a team whose memberstogether provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks,and meet objectives”, still has the highest “Unaccepted” rate of 3%. It was also reflected in the surveyresults of qualitative questions, which were discussed in the next session. 2024 ASEE Southeastern Section Conference Figure 3. Senior Exit Survey Results for question (1)-(7), Spring 2021The description of some student outcomes became more ambiguous and vaguer compared to theprevious
time a student is taught to use a model for asystem in the Laplace Domain only, they lose the fact that the controller designed will not workover the whole range of the input constraints. In fact, that is more a rarity than the norm. Transferfunctions for lime kilns, cardiac arrest patients, reactive etchers, etc. do not hold for the range ofinputs outlined in final projects given to students[8]. Representing a nonlinear multivariableprocess by a matrix of transfer functions leads to real repercussions for students that think theseare at least close to accurate models that reflect a dynamic range of responses over the inputconstraints. And instead end up with a system that a single controller can regulate. There are nooperating regions
when looking for an industry practitioner to be a lecture guest speaker,most of the time you have some experienced white male, which reflects the non-diversefield as a whole and the issue about diversity and inclusion”. Faculty instructors also agreedwith the difficulty of accessing a diverse group of practitioners which makes it moredifficult to ensure diversity when inviting them to any academic activity (e.g., capstonementorship, workshops, conference speaker, lecture guest speaker). To know how companies involve their employees in DEI, we asked practitioners ifthey knew (awareness) about DEI Statements in their company. We found that, out of the249 participants, 71% of professionals identified DEI statements in their companies, 12
: 15 Proceedings of the 2024 ASEE North Central Section Conference Copyright © 2024, American Society for Engineering Education2024 ASEE North Central Section Conference Figure 11: After Improvement X-bar Control Chart - Spring 2022 Figure 12: After Improvement R Control Chart - Spring 2022We can see from the above control charts, the turning process was in-control for the spring 2022semester. This was an indication that the applied improvements were useful to improve theturning project in the IENG 303 course. Moreover, the students’ comments in the SEI for Spring2022 semester positively reflected these improvements.Samples of IENG 303 Students Comments – SEI
How well did 4 4 4 examination questions reflect content and emphasis of the course?LimitationsDistance learning strategies were limited to one summer semester (8 weeks). Foreshortenedteaching period had not been used with this course prior. However, after course completion,students indicated an interest in hands-on laboratory experiences that supplements simulationtechnology.Conclusions and RecommendationsThis paper focused on the technological aspects of a casting curriculum that substitutes inconventional and non-conventional academics. During a pandemic period and thereafter,engineering education was
transitioning to and from remote learning.This survey was given in Winter 2022, which was a unique term at the University of CaliforniaIrvine because courses started online and returned to in person later in the term. Moreover, it wasnot clear at the beginning of the term when courses would return to in person, only that theywould eventually. Therefore, this was a particularly disruptive term for the students who had allpreviously experienced the transition to online learning in Spring 2020 and had transitioned backto in person courses by Fall 2021, only to return to online courses in Winter 2022 due to thespread of highly contagious COVID-19 variants. This provided a unique opportunity for studentsto reflect on their experiences adapting through
physical world of the production to reflect the inner struggles of the characters. Big Daddy’s house is not an easyplace to live in for any of the characters in this play. By raking the stage the director and designer have made the psychic and emotional challenges of the story a tangible part of the environment for the audience.”At this point, the students recognized the rationale for building a raked stage despite moderntheaters having their seats stacked vertically. To place the students in the position of being futureartistic directors themselves, we then transitioned to the first part of the lab activity, whichsimulated the construction of a raked stage at different angles of incline. The students were
guest speakers from academia andindustry, individual homework assignments where students reflected on what they learned fromthe speakers, and a group project to design a sustainable human habitat on the planet Mars. InFall 2023, a new instructional team (1 lead professor, 2 undergraduate and 1 graduate courseassistants, and 1 education specialist) was mentored by an instructional team in the Chemical andBiological Engineering Department to redesign the course. The course redesign features twogroup socio-technical design challenges and weekly individual homework for students toresearch disciplinary sub-specialties and career opportunities. During the first month ofinstruction, students are oriented to campus, the major, resources within the
),materials and manufacturing process energy assessment, and sustainable materials selection.Students dedicate significant time to sustainable design practices, utilizing tools like GaBi andCES EduPack for materials and processes selection, reflecting a deep integration of sustainabilityinto the design process.Systems Thinking:Systems thinking is integrated through activities like system mapping, where students identifypotential problems, needs, or opportunities for improvement or redesign. This approachencourages students to view products and their design challenges within the broader context oftheir environment, user interactions, and lifecycle.Creativity:Creativity is fostered through experiential activities that encourage brainstorming and
NationalScience Foundation research. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author and do not necessarily reflect the views of theOffice of Naval Research or the National Science Foundation.References[1] B. K. Townsend and K. Wilson, “A hand to hold for a little bit: Factors facilitating thesuccess of community college transfer students to a large research university,” Journal ofCollege Student Development, vol. 47, no. 4, pp. 439-456, 2006. [Online]. Available:https://doi.org/10.1353/csd.2006.0052.[2] D. D. Buie, “Beyond a deficit view: Understanding the experiences of first-generationstudents who participate in college access and success community-based organizations,” Ed.D.dissertation
projects. The end of both design projects reserved one day to focus on EMand asked them to reflect on questions they had about engineering, to create a concept map as agroup about EM, and to identify the value they had created for stakeholders in their projects. In2021-2022, this was the first introduction to EM for both projects and was designed as areflection. In 2022-2023, it was the first introduction to EM for the robot project, but theresearch-based project had heavily focused on EM and value creation throughout the semester.Student workload across the design projects was reduced in 2022-2023 compared to the yearprior. For example, students were given additional time to brainstorm their designs and createthem, reducing the overall number of
Engineering from the University of Science and Culture in Tehran, Iran. Her research interests include software engineering, cloud computing, data visualization, and Machine learning.Mr. Rohit Hemaraja, The University of Arizona Rohit Hemaraja is a Master’s student in Data Science at the School of Information at the University of Arizona. He is a Graduate Research Assistant with the Analysis of Higher Education Research Group. He earned his Bachelor of Engineering degree in Computer Science. His research focuses on machine learning, large language models and data management. His academic and professional interests lie at the intersection of these disciplines, reflecting his commitment to advancing the capabilities and
has been known to significantly increase success, retention, and graduationrates. We noticed the differences in the level of preparedness and its influence on the student’sperception of their journey. We also explored the influence of soft skills, outlook, scholarlyattributes, and support on the perception of the journey through the program. Although ourparticipants have reported that they did not perceive any overt sexism or racism, we present thefindings correlated with gender and race/ethnicity.Our future work will include fine-tuning the protocol to explore intersectionality and reflect uponthe situations where the students might feel minoritized. Additionally, the students in the futurestudy will be purposefully selected to examine
items passed the .32 criteria, and together, the model explained a totalof 46.26% variance. Therefore, we proceeded with the more parsimonious one-factor solution.The one-factor CFA model fitted poorly to the data. Therefore, we explored the modificationindices. By allowing error covariances of similarly worded items (i.e., between items 16 and 18,19 and 21, 17 and 23, 19 and 22, 19 and 20, and 20 and 21), we reached an acceptable model fitfor the one-factor solution of the CFA sample (χ2 = 137.52, df = 16, p < 0.001, RMSEA = 0.1095% CI [0.085, 0.116], CFI = 0.96, TFI = 0.93). All items loaded above .50 onto the mindsetfactor. These modifications reflected the covariance among items that focused on intelligenceand among items that focused on
CS.Next, the theme of collaboration was also found to be beneficial for students’ formation of bondsin CS. This result is reflected in prior work whose results suggest that the long-term impacts ofproject-based learning in STEM transcend traditional learning outcomes to also includeprofessional advancement and friendships [60]. Further, authors demonstrate that students’exposure to collaborative assignments are a significant, positive predictor of their persistence inCS [26]. Interestingly, however, the more recent work of Lehman et al. [32] found that students’exposure to collaborative pedagogy in introductory CS courses was a significant, negativepredictor for persistence. In their discussion, they suggest that the surprising result may
betelling of how students approach learning with the affective domain [14]. Also, returning to theidea that the domains are connected is reflected in the fact that many of studies found focus on twodomains at a time instead of only one domain at a time [4-7], [14-19]. Several studies exist thatresearch the domains, but they focus on testing a specific class within engineering or non-engineering majors [4-6], [9], [14-16], [18], [20]. Similarly, the studies that focus on math orchemistry classes may not have tested solely engineering students, which could still distort or skewresults towards conclusions that may not apply to engineering students overall [4-5], [21]. Theproblem with these studies is that their findings cannot be generalized for all
analyses at subsequent time points. For instance, if X students drop out orgraduate by the end of a semester, they will be removed from subsequent analyses, ensuring thatthe remaining students constitute the entire study cohort for subsequent persistence analyses.The study will acknowledge the dynamic nature of student enrollment, and robust measures willbe employed to handle attrition. The removal of students who exit the program will ensure thatanalyses reflect the evolving composition of the sample, contributing to the accuracy andrelevance of the findings.ConclusionIn conclusion, this study undertakes comprehensive exploration of the factors influencingengineering student persistence, with a particular focus on the impact of Calculus I. By
given discipline would have both UI and CD components, but their relative emphasis may varygreatly from one discipline to the next. In all cases, the training of students should becommensurate with the prospects of their career plans and expectations of their potentialemployers. Thus, for instance, within UI-dominated disciplines, there should be a greateremphasis on providing resources for establishing industrial connections.Lastly, the findings highlight the importance of refining academic course plans and institutionalsupport for effective doctoral training. The emphasis on incorporating problem-solving, dataanalytics, and writing skills into coursework reflects a commitment to aligning academic trainingwith the broader skills needed for