womenrelaunchers to give up their time and energy to conduct interviews when interviews were alreadyavailable via 3, 2, 1…iRelaunch. We obtained permission from the podcast host to utilize theepisodes in this study. Our IRB approval did not require obtaining permission from podcastparticipants to extract data from the podcast; however, we also plan to reach out to the podcastguests who have LinkedIn profiles to ask if they would like their names to be used and share thepaper for their review. We do not expect to receive responses from all interviewees, andtherefore, we chose to mask the last names of the interviewees. We recognize that thisinformation is available online, but we hope that readers can recognize the interviewees asrepresentative of a large
STEM include thecreation of the “scientific possible selves” instrument, which assessed middle and high schoolstudents’ expectations, fears, hopes, and plans for a career in science [12, 27]. Anotherquestionnaire was developed to measure science career aspirations among elementary schoolstudents [28, 29]. A recent scale [30] extended the questionnaire by DeWitt and colleagues[28] to create an instrument with separate career aspiration scales, each consisting of fouritems, for five disciplines: science, technology, mathematics, engineering, and education.Similarly, for this study, we adapted items from the scale proposed by DeWitt and colleagues[28] to measure GS career aspirations. We selected this scale because it most closely alignedwith our
, all usingthe same small inexpensive cobots. As expected, qualitative student responses show positiveimpact on students’ learning, programming skills development and attitudes towards robotics.Also, this work addressed various students’ robotic learning needs through a discussion of variousmyCobot computer hardware options.In the future, it is planned to extend the robotic tasks to obstacle detection and avoidance as wellas digital twins. Also, the use of cobots in education will be emphasized because of cobots safetyfeatures. Bibliography[1] J. Dewey, Experience and Education, Macmillan, N.Y., 1939.[2] D. A. Kolb, Experiential Learning: Experience as the Source of Learning and Development, Prentice Hall, Englewood Cliffs, N.J., 1984
Paper ID #47851Washington Veterans to Technology (WaV2T): A Pathway for Military Personnelto IT CareersDr. Radana Dvorak, Saint Martin’s University Dr. Dvorak received her Ph.D. in computer science from the University of London, Queen Mary College and Master’s in AI from the University of Sussex. Dr. Dvorak has been working in IT, higher education, academic industry and program development for over 25 years. As a member of Government and University strategic planning committees, task forces, and advisory boards; she has been a key architect of the Microsoft Software and System Academy, a public-private partnership between
specific research clusters. The fact that participants were recruited fromonly two clusters makes it possible that Research Group Experience registers a significantimpact on Sense of Belonging due to some unobserved research cluster characteristics. However,the insignificant standardized regression coefficient associated with membership in a particularcluster (Cluster2 in Model 3) suggests that Research Group Experience is relevant whenassessing the graduate experience.Next steps/Future workFor our next step, we plan another iteration of our survey. We will use modified questions forself-evaluation of research skills as described above and include questions about research groupsuch as size or organizational structure (e.g., hierarchical vs. flat
minoritized students. Lastly, programmatic questions gauged major takeaways fromthe PDS and their future plans of implementation of inclusive practices. Interviews occurred at theend of the first year of the PDS. Interviews were conducted on Zoom and audio recorded.Recordings were transcribed and transcriptions were analyzed.Data AnalysisSurvey analysisSurvey data collection and analysis is ongoing. Cohort 1 (n=12) has completed all 4 surveys.Cohort 2 (n=12) has completed 3 surveys. Cohort 3 (n=12) has completed 1 survey. Once all threecohorts have completed all 4 surveys, survey questions will be analyzed. For items on a Likertscale, Cronbach’s alpha will be calculated to determine internal consistency. For short answerquestions, survey responses
effect on different aspects of team dynamics, including: 1) interpersonalcohesiveness, 2) psychological safety, 3) team satisfaction, and 4) team conflict. The course investigatedwill be an introductory engineering analysis course offered to first-year engineering students in the First-Year Program (FYP) at the school hosting this study. The authors plan mainly to answer the followingresearch question: does the diversity composition of the team affect the overall team harmony and howteam members interact together?In this course, students get divided into teams of three at the beginning of the semester and work on asemester-long project, with the same team, until the end of the semester. The authors used CATME todivide the students into teams
Expression Control via CRISPR (Biology)Manipulating Reaction Rates via Temperature and Pressure (Chemistry)Adjusting Water Temperature in a Shower (Mechanical Engineering)Robot Path Planning for Navigation (Computer Science)Controlling Pollutants in Waste Water (Environmental Science)Managing Traffic Flow with Signal Control Systems (Traffic Management)Producing Salt by Reacting HCl and Na (Chemistry) Table 2: Highlighted Examples of Controllability Across DomainsTitles of Observability ExamplesMonitoring Blood Glucose Levels via Continuous Glucose Monitoring (Medicine)Observing Power System Stability via Phasor Measurement Units (Electrical En-gineering)Monitoring Aircraft Health Using Onboard Sensors (Aeronautics)Monitoring Cell Activity
College. Students electing to apply tothe program must submit a resume, cover letter, high school transcript, and two letters ofrecommendation. Applications are then scored and assessed based on the perception of theirability to successfully manage the rigor of the program schedule and their ability to contributetowards the experiential learning goals of the program overall. Figure 1. Diagram of the STEPUP program structure [12].The estimated cost of participation for the academic year is approximately $6,000 per student,which encompasses summer housing, meal plans, classes, corporate tours, opening and closingceremonies, professional development programming, and program staff. Program costs arefunded through a combination of
]. Metacognitive knowledgesupports the development of metacognitive skills where students can self-regulate by planning,monitoring, and evaluating their learning [3].To succeed academically, engineering students must develop effective study skills and becomeself-regulated learners capable of reflecting on their learning needs and taking action to improvetheir understanding and application of course topics [4]. In engineering, mastering and applyingproblem-solving heuristics (e.g., restating the problem, drawing diagrams, and identifying relevantformulas [5] [6]) is crucial for efficient problem-solving and academic performance [7] [8]. Whileexperts typically know how to organize their knowledge to solve problems quickly, novices canstruggle [9]. To
before segueing into the construction of several classificationmodels for mental health metric prediction. This will be followed by the evaluation of our modelsin Section 4 before we conclude our work in Section 5. We will then finish with our planned futurework to improve our project in Section 6.2 Related WorksMachine learning and its applications within the field of mental health is currently a popular topicin research, with many works revolving around integration into diagnosis frameworks [9]. Crisisintervention is a large part of the field as well, with recent work showing that machine learninghas been valuable in clinical practice for caseload management and ameliorating risk [10]. Currentwork in the field of mental health with applied
key to success is to have a well-defined plan, do in depthresearch on the problem and possible solutions, evaluate the solutions for viability, and then testand prototype those solutions until the result is acceptable. This project contains many differentdesign challenges along with a numerous of solutions. By breaking down the project intocategories and subcategories, the individual solutions can be analyzed for viability and the bestsolution can be selected. The functional block diagram in Figure 1 shows the EM project brokendown into major phases and how those systems interact with each other. The arrows representwhat type of interaction takes place and in which direction the power or information flows. Thisis a surface level
resubmission on student procrastination and academic integrity. Finally, wewill discuss the problems we encountered with the grading system and our plans to improve thesystem and implement it in larger enrollment sections of the same course.IntroductionProgramming assignments create the backbone of most computer science (CS) courses. In theseassignments, students are asked to apply new concepts and develop a program to solve apredefined problem. The instructor or TA reviews the work, uses a rubric to assess its accuracyor correctness, and slaps on a grade. Often, students read the grade, sometimes view thefeedback, and then they move on to their next task. As a result, students focus on the outcome oftheir work (does it solve the task presented or
, and bias: A literature review and synthesis of re- search surrounding student evaluations of courses and teaching. Assessment & Evaluation in Higher Education, 47(1):144–154, 2022. [9] G. D. Hendry, H. Georgiou, H. Lloyd, V. Tzioumis, S. Herkes, and M. D. Sharma. ‘it’s hard to grow when you’re stuck on your own’: Enhancing teaching through a peer observation and review of teaching program. International Journal for Academic Development, 26(1):54– 68, 2021.[10] S. Krishnan, J. Gehrtz, P.P. Lemons, E.L. Dolan, P. Brickman, and T.C. Andrews. Guides to advance teaching evaluation (GATEs): A resource for STEM departments planning ro- bust and equitable evaluation practices. CBE—Life Sciences Education, 21(3):ar42
understanding models (3.98) and contributing to learning (3.76). • The Multiple Linear Regression activity: While rated slightly lower, it was appreciated for its real-world application and contribution to understanding linear regression (3.72).Conclusions and Future Plan This study demonstrates the value of integrating in-class coding games and student-developed R Shiny applications to enhance learning outcomes in a statistical course. These toolshave the potential to improve engagement, problem-solving, and the application of abstractconcepts. Student feedback was largely positive, with comments like, “The tree-modelcompetition helped me see how theory applies in real-world problems” and “Developing Shinyapps was both challenging and
engineering design to allow for the identification of new opportunities?What role will the engineering team play in the reverse logistics chain?Costs. Which costs could be shared or lowered through other users or partners? Could theengineering team shift from an ownership model of underutilized assets to payment for accessand usage? How can cost volatility and dependence on finite resources be reduced? What can bedone to mitigate risk?Revenues. How might opportunities be diversified to increase resilience, growth, andinnovation? How might growth through value creation elsewhere in the system favorably impactthe future success planned? How might the business model help create other types of value? Likehuman, social, or natural capital? How might new
, achievement, and career plans,” J. Eng. Educ., vol. 99, no. 4, pp. 319–336, Oct. 2010.[9] S. Deterding, R. Khaled, L. Nake, and D. Dixon, “Gamification: Toward a definition,” in gamification workshop proceedings, Vancouver, Canadá, May 2011, pp. 1–79.[10]G. Barata, S. Gama, J. Jorge, and D. Gonçalves, “Studying student differentiation in gamified education: A long-term study,” Comput. Human Behav., vol. 71, pp. 550–585, Jun. 2017.[11]L. Brown and M. Tsugawa, “WIP: Case study - Training STEM high school teachers to integrate engineering through gamification,” presented at the National Association for Research in Science Teaching Annual Conference, Utah State University, 2024.[12]L. Brown and M. Tsugawa, “WIP: Using games and
Rhetoric in AI Conference Mission Statements This paper proposes that examining AI conference mission statements is essential forunderstanding the evolving boundaries of the field. Our analysis can support and extendprior research (4; 5; 11) by identifying persistent overemphasis or underemphasis on techni-cal aspects, the marginalization of non-technical or cross-disciplinary engagement, and thelack of coherent or clearly communicated objectives. These issues can lead to misalignedexpectations and limit a conference’s broader societal impact. By surfacing patterns, the larger research can inform more deliberate strategic planning,helping conference organizers design events that promote interdisciplinary dialogue, engagebroader communities
?) b. Can you tell me about your well-being over this time period? Physical, emotional, psychological? c. Tell me about the highs and lows for stress and well-being? Fluctuations vs a consistent build as quals approached? d. Looking more broadly, do you have any throughs on how your well-being and stress compared to your peers? 6. Are there other things you would like to add to what’s been said? a. How did the QEs go? b. We’re planning a study that explores changes in well-being and engineering identity over the quals period. We were thinking of conducting interviews ~3months before, 2–3 weeks before, and then shortly after. Do you think these
professional manner, leveragingtheir mentors’ expertise to achieve educational and career goals. Common discussion topicsincluded workplace culture and dynamics, industry insights, and career planning and strategiesfor success.Mentor circles were developed based on scheduling compatibility. Once the mentor circles wereestablished, the program’s committee handed over communication responsibilities to theassigned mentors for each group. Circles were expected to meet monthly from Septemberthrough December. Meetings were structured around discussions that aligned with theparticipants’ shared interests, but mentors and mentees had the flexibility to adjust topics asneeded, and no specific topics were assigned to any given meeting.To assess the program’s
score deviation Engineering Identity I see myself as an engineer. 5 4.8 0.8 Academic advising support I received helpful guidance when planning the path of courses required to earn my 5 4.6 1.1 degree. I received helpful guidance on registering for classes. 5 4.6 1.7 An academic advisor was available when I needed assistance. 5 4.8 1.1 Academic peer support I had access to students whom I could ask for academic assistance. 5 4.8 0.8 I received advice from peers on how to be academically successful
concepts.In this paper, we focus on a curated set of engineering and technology textbooks from the O’Reillyplatform to demonstrate TextMatch’s capabilities. As a work in progress, we plan to expand TextMatch’sscope to additional disciplines and data sources, ultimately making it more versatile for diverseeducational settings. We highlight how TextMatch’s flexible, modular architecture supports dif-ferent semantic search models and user preferences, presenting both quantitative and qualitativeevidence—including improved mean Precision@10 and MRR scores and favorable user surveyresponses—to demonstrate its value. Ultimately, TextMatch not only broadens access to relevanteducational content but also streamlines the discovery process, showing how large
attend these conferences, the ArizonaBoard of Technical Registration [3] does not require continuing education for ProfessionalEngineer (PE) licensure renewal. It would indicate that members who attend either self-select forinteraction and community or require continuing education for licensure out of state.Engineers are all college graduates, which means they are at a minimum in their early twenties. Itis expected that young engineers would be planning a four-year internship. At that point, in thelate-20s to early-30s, engineers take their initial exam for professional licensure. During thistime, early career stage engineers are also considering building a family. It is into this mélange ofdisparate goals; individuals may start to seek more
mechanical and civil engineering students. The instructor originallydelivered the course to chemical engineering students and modified it to include content likePascal’s Law of Pressure transmission, a topic that is more relevant to disciplines likemechanical engineering. This paper will share changes the instructor made to the course anddescribe plans for future work. BackgroundThe Higher Education LandscapeAccording to one source [1], institutions of higher education were rightsizing based on aforecasted enrollment cliff as well as state and federal underfunding and then the COVID-19pandemic hit. Some institutions used Higher Education Emergency Relief Funding (HEERF) toaddress financial shortfalls, but
Plans for the App In recognizing the stark differences in how novices and experts approach and representproblem solutions and the various stages of acquiring expertise, an assessment that tracksstudents’ emerging conceptualizations of stress transformations and Mohr’s Circle has beendeveloped to adequately assess the effectiveness of the MATLAB application on learningoutcomes [17, 18]. For the assessment, multiple choice questions using three levels ofabstraction including less-abstract, more-abstract, and fully-abstract are used to measurestudents’ level of knowledge acquisition between three stages: novice, competent, and expert[18]. The level of abstraction is defined as the degree of complexity of the concept of thought[19]. That is
his post-graduation interview. As we have a singleparticipant, the data is preliminary and anecdotal. The participant did not believe the SPECTRAprogram inspired any changes in his career plans, but his participation opened doors to careers hewas interested in and made him a desirable candidate to prospective employers. I don't think without SPECTRA, I wouldn't have had much to speak about with prior experiences. Because of- so many people in the job market, wanting to have prior experience to- or prior experiences of being an engineer when there's not many opportunities to be an engineer without getting your hands into something. And so SPECTRA was a nice pathway into being able to utilize that. And the only
to Improve the Academic Performance and Motivation in Engineering Studies,” Journal of Educational Computing Research, vol. 60, no. 7, pp. 1663– 1687, Dec. 2022, doi: 10.1177/07356331221074022.[8] K. Suzuki, T. Shibuya, and T. Kanagawa, “Effectiveness of a game-based class for interdisciplinary energy systems education in engineering courses,” Sustain Sci, vol. 16, no. 2, pp. 523–539, Mar. 2021, doi: 10.1007/s11625-021-00912-3.[9] M. Hartt, H. Hosseini, and M. Mostafapour, “Game On: Exploring the Effectiveness of Game- based Learning,” Planning Practice & Research, vol. 35, no. 5, pp. 589–604, Oct. 2020, doi: 10.1080/02697459.2020.1778859.[10]E. Andersen, “Optimizing adaptivity in educational games,” in Proceedings of
requirea strong understanding of block diagram interactions. The tool used for any given concept shouldbe based on the learning objectives. The implementation of the tools for the University ofDelaware’s process dynamics and controls class for 2024 was discussed with examples.Furthermore, the author plans to continue to develop chemical engineering relevant controlsexamples for MATLAB Live Scripts and Simulink to be released.References[1] S. Freeman et al., "Active learning increases student performance in science, engineering, and mathematics," Proceedings of the National Academy of Sciences, vol. 111, no. 23, 2014-6-10, doi: 10.1073/pnas.1319030111.[2] D. L. Silverstein and G. Osei-Prempeh, "Making a Chemical Process Control
practice -1 comittment reconsideration -2 Diffusion Moratorium Searching Achieved Foreclosure (n = 1) (n = 2) Moratorium (n = 2) (n = 8) (n = 1)RecommendationsThis study began by observing the results from a cross-sectional dataset, with plans for futurelongitudinal data collection. Next steps include continuing to collect data in subsequentsemesters and courses, intending to make comparisons between different groups of ET students,courses, and interventions. The author intends to use these
different points of view of students andfaculty. The main codes used to identify the theme are as follows: real-time interaction,engagement, instructor presence and accountability.Students’ standpoint. Students equally appreciate the immediate feedback and depth ofinteractions provided by face-to-face learning, emphasizing its importance in fosteringmeaningful educational experiences. One student explained, “because by going there, seeing theprofessor there … I can always raise any of my doubts which come to my mind at that moment.”Students also identified engagement as a key topic, recognizing that planned participation inface-to-face formats fosters the dedication and commitment required for effective learning. Manystudents believe that face-to