thestudents poorly prepared for careers after graduation. If they can plan on using CAS calculatorsat work, can do the work faster and more reliably with these tools, and can retain this abilitylonger, then we should allow their use.Consideration of the Proposal – Seeking Input; Revisions Made Due to Input from ConstituentsAs part of Student Outcome Evaluation and Assessment in 2020-1, the author examined aperformance indicator (PI) covering calculus from the upper level problem-solving course.Results were collected from the upper level problem-solving class for a section taught in Fall,2019. As documented with a standard department PI assessment and evaluation form inDecember, 2020, the results fell below the department standard, requiring action
aspecific individual or a larger group. Some of these questions focus on differences in relatabilityto different user groups, e.g., designing for other students as opposed to groups with whichstudent designers share few obvious similarities. The key questions to address here are whetherdifferences in target user groups presents issues for applicability of the model across contextsand how differences in user definition (or interpretation thereof) might affect experiences ofempathy. This question also leads into a consideration of whether the model should focus onusers exclusively or integrate user-adjacent stakeholder groups.We plan to address each of these three items as we continue engaging each of the user groupsand refining the
). "Professors Plan Summer AI Upskilling, With or Without Support." Inside Higher Ed.Bogost, Ian. "The First Year of AI College Ends in Ruin." The Atlantic 16 (2023).Di Bitetti, M. S. & Ferreras, J. A. (2017). “Publish (in English) or perish: The effect on citation rate of using languages other than English in scientific publications." Ambio, 46, 121- 127.Duin, A. H. & I. Pedersen. (2021). Writing Futures: Collaborative, Algorithmic, Autonomous. Studies in Computational Intelligence, v. 969. Springer. https://doi.org/10.1007/978-3- 030-70928-0Duin, A. H., et al., (2023). “Stronger Relationships, Stronger Programs: Asserting Expertise for a Generative AI Landscape.” Council of Professional
of critical reflection assignments in the recently added prerequisite for my course, I could provide more guidance about what critical reflection actually looks like. In winter 2024, I am planning on sharing two example paragraphs, one which is more descriptive and the other which is critically reflective, and asking the students to identify the differences between them to support their own critical reflection. I also created a template for the debate reports to help students understand the expectations in terms of content, level of detail, citations, etc. for each section of the assignment. Overall, I had to recognize that not all students can understand my rubrics (if they choose to read them at
amounted to 1,634. The collected sample was divided intotwo halves to facilitate both exploratory factor analysis (EFA) and confirmatory factor analysis(CFA). This division was planned to ensure that the demographic characteristics, including classsize, gender, and others, were evenly distributed across both subsets. This approach,recommended by DeVellis, serves a dual purpose: EFA allows for the identification andexploration of underlying factor structures without preconceived hypotheses, while CFA is usedto test and confirm the factor structure suggested by EFA. Splitting the data in this mannerprovides a robust methodology for validating the scale's construct validity, ensuring that theanalysis is both comprehensive and reliable [28]. In Step 7
meticulousness, good 12. bring job planning, etc. satisfaction and 3.16 of 19 stated they were productivity happy with their jobs, appreciative of the provisions of support, protection, and career development opportunitiesWhat happens
building, and career decision- making self-efficacy: a case study of collegiate women in aviation.” Journal of Women and Minorities in Science and Engineering, 29 (3). 2023.[4] IATA, “Advancing Diversity, Equity & Inclusion with 25by2025.” 2023.[5] Women in Aviation Advisory Board, “Breaking Barriers for Women in Aviation: Flight Plan for the Future.” In Federal Aviation Administration. Https://www.faa.gov/regulations_policies/rulemaking/committees/documents/index.cfm/ committee/browse/committeeid/817. 2022.[6] R. Lutte, Women in Aviation: A Workforce Report 2021 Edition. Https://www.researchgate.net/publication/357032586_Women_in_Aviation_A_Workforc e_Report_2021_Edition. 2021.[7] C. K. Marete and C
, retention, and graduation data revealabout the current enrollment and student success trends for Black engineering students from [State]community colleges?A member of the research team with an existing account accessed an interactive reporting toolsplatform from the website at Institution 1. The platform provides a robust database with differentdata point options to select from. First, we downloaded the “enrolled Students by Admit Type”database. A unique feature of this platform was the “choose filter” option, from which we wereable to disaggregate the data by time variables (e.g., academic year and semester), academicstructure variables (e.g., college of engineering and degree plan (BA and BS)), degree and levelvariables (e.g., selecting only
• Allocate Time: Plan for additional time in meetings (at least early on in an outside of one’s discipline (particularly useful in securing interdisciplinary collaboration) to clarify and explain discipline-specific external funding) jargon and especially discipline-specific conventions. • Deeper clarity about one’s own research ideas as a result of • Humility is key: Recognize boundaries and limits to your expertise and articulating them in greater depth value what each collaborator brings to the table. • -Heightened awareness of one’s unique expertise and
showcased his skills for technical reading and writing and being able to bridge the gap between client and engineer. In his role as an Intern Engineering Inspector at CES Consulting LLC, Kevin demonstrated a strong commitment to quality assurance and control, ensuring that construction aligned with design plans and bringing errors to the attention of senior inspectors for correction. His involvement extends beyond his work and academic pursuits; His membership in the National ASME and AIAA organizations reflects his commitment to his field and his versatile interests. Additionally, he has taken on leadership responsibilities as the GMU ASME President, where he has organized informa- tional sessions and collaborated
minority and first-generation women graduate students’ success in STEM fields,” Doctoral dissertation, University of Maryland, 2018. [Online]. Available: https://www.proquest.com/docview/2186631820[25] A. Flores, “The Latina doctoral student experience: A qualitative phenomenological study,” Doctoral dissertation, Texas State University, San Marcos, TX, 2023. [Online]. Available: https://digital.library.txstate.edu/handle/10877/16501[26] R. E. Stake, The art of case study research. Thousand Oaks: Sage Publications, 1995.[27] J. W. Creswell, Educational research: planning, conducting, and evaluating quantitative and qualitative research, 4th ed. Boston: Pearson, 2012.[28] M. Q. Patton, Qualitative research and
identity through competence at work they working? directly, and recognition at work - Where are they working? indirectly.As we seen from the participant quotes, what they are learning is showing upat their jobs almost immediately. They work in a number of fields, from truckingto travel planning to floral delivery, and the AI concepts are helping them all.Computing identity has been augmented through interest, performance,competence and recognition, and all four constructs are on display throughinteractions at work.So what comes next?A future direction for research will be to investigate other aspects of theframework for students who work on the microsystem, mesosystem, and otherlevelsAlso better exploring the
impacted by HyFlex. The small samplesize also hinders the ability to perform more rigorous statistical analysis of the data. It is alsoworth mentioning that only a limited range of courses taught by the same instructor were eligibleto take the survey. Again, this is partially due to the small size of [institution name redacted]’sengineering program and the trend towards classes either being fully in-person or fully online.Because the survey is anonymous and does not ask students about class performance, it is alsonot possible to compare survey responses with student performance during class. Additional datacollection is planned to continue tracking trends over time and to allow for more in-depthanalysis.CONCLUSION While the utilization of
is that lowerincome students have significantly different perceptions regarding the risks and opportunities oftheir career pathways [14], [15]. Kapoor & Gardener-McCune [11] found that computingstudents with lower socioeconomic backgrounds found it difficult to pursue industry internshipdue to family and other circumstances. Krenz et al. [16] indicated that lower-income computingstudents had difficulty pursuing graduate school full-time due to familial and economicresponsibilities. To better support lower-income students in computing to broaden theirparticipation in computing careers, it is critical to understand these students’ viewpoints on jobfactors associated with different career pathways for their post-graduation plans.3. Research
. Gottfredson, "Circumscription and compromise: A developmental theory ofoccupational aspirations," Journal of Counseling Psychology, vol. 28, (6), pp. 545-579, 1981.Available: https://search.proquest.com/docview/1301114874. DOI: 10.1037/0022-0167.28.6.545.[7] W. Patton, D. A. Bartrum and P. A. Creed, "Gender Differences for Optimism, Self-esteem,Expectations and Goals in Predicting Career Planning and Exploration in Adolescents,"International Journal for Educational and Vocational Guidance, 2004.[8] S. Norris, "Middle School Girls: Self-Esteem and Academic Issues," 2017. Available:https://www.childrensresourcegroup.com/middle-school-girls-self-esteem-and-academic-issues/.[9] Ofori-Boadu et al, "Learning experiences and self-efficacy of minority middle
and left engineering, one who didnot receive the intervention and stayed in engineering, and one who did not receive theintervention and left engineering—and their descriptions of their self-efficacy for beingsuccessful in their engineering major.Theoretical FrameworkSelf-efficacy is the belief in one’s capacity to execute behaviors necessary to produce specificperformance attainments (e.g., engineering degree attainment). Self-efficacy has been related towomen’s plans to persist in engineering. Women who have higher self-efficacy, especiallyBlack, Latina/x, and Indigenous women, are more likely to persist in engineering careers [23].Conversely, research has demonstrated that women who have lower self-efficacy are more likelyto drop out of
student with an auditory processing disorder and anxiety, describes the effort thatshe puts into hiding her internal struggles, and the subsequent impact that keeping this hiddenfrom her advisor has on her mental health and wellbeing. I do this masking where I put on that I'm very together in front of her and I have all these plans, and my calendar is all marked, but then my day to day, I don't feel like that. So, revealing that side of me, is something that gives me anxiety.The need to maintain a facade again suggests a hesitation to fully trust the advisor with theirvulnerabilities. Twyla describes a similar environment in her department in other words, saying: …there's not a lot of talking about our own
“neighbors living adjacent to the wind turbines.” • Provide specific tools including the ”Fifty-Five Prompt Questions for Identifying Social Impacts of Engineered Products” [16] to help the students broaden their perspective on who would be effected and how. • Give class time for students to work in groups to discuss the social impacts of design.We were surprised that students did not implement their revised Social Impacts section in theirjunior or senior final capstone reports in Spring 2023. We recognize that students tend to silo theircoursework and did not recognize this opportunity to improve their reporting on the capstone.Therefore, we plan to share this assignment with the junior and senior project advisors and askthat
graduate students place more importance on teachingempathy than their younger counterparts. However, gender and degree type did not significantlyinfluence perceptions related to empathy. There appears to be consistency in empathyperceptions between graduate students and faculty and staff. Future work includes expanding theexploration of empathy perceptions to multiple institutions to broaden insights into more diverselocations. Qualitative analyses of survey statements are planned and will yield a betterunderstanding of the broader context of graduate students’ perceptions of empathy. There issignificant potential with future work including better insights into how and where to includeempathy in graduate engineering education, and whether
faculty members. As previous studies have described [2] thatinternational faculty are less satisfied than their U.S.-born colleagues while being moreproductive than their US counterparts. We tried to unpack further through our own experiences.All the narratives have highlighted either a lack of mentorship or a mismatch in terms of mentorsupport and expectations. Therefore, there is a clear need for the institutions to build a robustmentorship plan and pathways for international faculty members. Also, we noticed that all threeparticipants for this study vocalized for effective mentorship from the doctoral program itself.Also, the narratives highlighted that working with other international faculty members oftenlimited their professional
Spanish forcollaborative planning and problem-solving with her Spanish-speaking assistants, while Englishis reserved for more formal teaching moments. Juan Carlos shows similar versatility, usingSpanish for in-depth discussions and English when addressing a wider audience.We add another dimension, describing how casual conversations with peers from similarbackgrounds often involve a mix of English and Spanish. This linguistic blend extends beyondthe classroom, strengthening friendships, alleviating stress, and enhancing empathy among peersduring graduate school. It is a practice that enriches their shared cultural experiences, from foodto customs, and bolsters their individual identities.Another common theme was that in formal academic settings
(n=7); 10institutions did not participate in STARS. Reporter institutions do not have scores as they do notparticipate in the entire rating process. Thus, there were 72 institutions in the data set withAASHE STARS scores. Three STARS scores were recorded: the total score, curriculum score,and academic score. The total score is a sum of five sub-scores: academics, operations,engagement, planning & administration, and innovation & leadership (which is an optional‘bonus’ category). Operations has the highest weight in STARS overall, with the potential to earn71 points. The academics category (maximum 58 points) includes both curriculum and researchsub-categories. The curriculum sub-category includes 8 specific credits, where academic
within the UK's engineering education landscape.Figure 1 Selection Process Flowchart for UK Higher Education EngineeringInstitutions.3.2 Selection of the CourseIn this study, education plans, courses, units, and their contents at some universitieswere examined to understand how design and design thinking are imparted toengineering students in the UK. These courses, identified as general design courses,cover a wide range of design topics, and are mandated as required components of thecurriculum.As part of the search strategy, both general and specific criteria for inclusion andexclusion were established to refine the scope of the investigation: 1. The study focuses on institutions that offer a Bachelor of Engineering (BEng) program
create an initial mechanism to exploremethods to actuate. In this rapid prototyping phase, students should be encouraged to use easy-to-manipulate (e.g., cardboard, rubber bands) materials to develop multiple iterations of initial McKibbenmuscle mechanisms. Students should be encouraged to develop a design that addresses one of the threegame challenges using a McKibben muscle. Another option is to assign students to produce a simplemechanism to complete a specified task that will sufficiently develop the student's understanding of themuscle actuation. Subsequently, students will be able to brainstorm various ways to address the remainingchallenges not yet designed. Students should be given time to then sketch and plan for their
significantly improve theirProblem formulation, Model development and Validation skills. Similarly, students with strongprior interdisciplinary knowledge and modeling and simulation competencies will interact farbetter with their peers and build their communication and collaboration skills based on thoseguiding prompts. The qualitative results showed that the students tended to engage their modeldevelopment and result reporting and visualization skills more independently than as a teambecause of the disciplinary technicalities and team members' prior knowledge.Overall, the insights derived from this study can prove valuable in the planning andimplementation of effective team-based course intervention strategies that pertain to project-based modeling
advanced topics, such as support vector machines, and unsupervised learning. 4 + 1 graduatestudents with a strong statistical background have the option to waive these courses based on their priorknowledge. This flexibility allows students to tailor their study plans according to their specificrequirements and backgrounds, ensuring a customized and effective educational experience in the realm ofData Science.Moreover, instructors employ a multifaceted approach by providing diverse examples and projects toinspire students with varied backgrounds. Our faculty members, hailing from diverse disciplines such asComputer Science, Mathematics, Statistics, Engineering, and Communications, contribute to the richnessof perspectives. This diversity enables
responses capture experiences ranging from students whostrongly preferred this approach to those who strongly disliked it. A strong theme that emergedfrom these comments include students’ appreciation for the flexibility afforded by the flipped-style class to engage with lecture material at their own pace, schedule, and manage commitmentsthey have in their lives. An interesting self-reflection from multiple students notes the high-levelof executive function (e.g. planning, focusing attention, remembering, and balancing multipletasks) and self-regulation (e.g. resisting impulses) required to be successful in this class format.The feedback of students who did not enjoy the flipped-style format suggest that this may also bethe source of their dislike
state-of-art journal paper. As of the submission of this papper, out of the13 students, 8 have submitted their papers to journals, and one paper is accepted for publication.The instructor plans to continue tracking their status. The others have not yet submitted due tovarious reasons, such as a lack of confidence in the quality of their writing, ongoing revisionswith additional details, or waiting for final approval from their advisors.In conclusion, research writing is a vital skill that many graduate students lack; yet, it is essentialfor their academic and professional success [17]. This pilot study demonstrates that a structured,intensive course can significantly improve students’ writing proficiency by addressing crucialtopics such as goal
methods, supported by evidence of their effectiveness in achieving these goals.2 Method2.1 Overview of COMP1200 CourseIntroduction to Computing for Engineers and Scientists is an introductory programming courseaimed at helping undergraduate engineering students with no prior programming experience learnMATLAB. The course is divided into seven modules and includes three exams. This paper willlimit our discussion to the teaching/learning techniques/strategies applied to Module 0 throughModule 3. We will not discuss applying these strategies to the other modules for now as we wantto avoid repetitive discussions of similar methods. Furthermore, we plan to explore the applicationof other teaching techniques to Modules 4 through 6 in
’ perspectives.This is an explanatory sequential mixed method study based on the Diffusion of Innovations (DOI)theory framework. This work-in-progress (WIP) paper will report on instrument development,sampling procedure, planned data analysis, and current progress. This research will also broadenknowledge on applying DOI theory to increase recruitment effectiveness.Keywords: recruitment challenges, diffusion of innovations theory, underserved students, bridgeprograms, communication channelsIntroductionThere has been increased national attention on the recruitment and retention of underservedstudents such as underrepresented minorities (URMs), women, first-generation students, lowsocio-economic status (SES) students, rural students, LGBTQIA+, veterans, and