groups depending on the how thegroup interacted.AcknowledgmentThe project team wants to acknowledge Virginia Space Grant Consortium for continuous fundingfor ODU BLAST program.References:[1] E. T. Mather, UVA Team Receives Governor’s Programs that Work Award, University of Virginia School of Engineering and Applied Science, (2016). [Online]. Available: https://engineering.virginia.edu/news/2016/02/bringing-stem-life, [Accessed Jan. 31, 2020].[2] J. M. Trenor, S. L. Yu, C. L. Waight, K. S. Zerda, and T. L. Sha, "The relations of ethnicity to female engineering students' educational experiences and college and career plans in an ethnically diverse learning environment,'' Journal of engineering education, vol. 97, no. 4
participant)were retained in their current majors for the investigated fall semester. Follow up investigationon spring semester is planned as more data become available. Table 3 lists the participantretention rates by cohort for 2018, 2019 and two-year average.Table 3. Participant retention by year of participation and cohort class. Cohort Class 2018 Workshop 2019 Workshop Two-year average Participant Retention Participant Retention retention rate (persist (persist / total) (persist / total) / total) Senior 100% (1/1) NA (0/0) 100% (1/1) Junior 100% (1/1
help many universities to achieve their mission statements and thegoals of their strategic plans. For example, at California State University, Sacramento University,this approach is perfectly aligned with the University Mission to “prepare students for leadership, Page 2 of 11service, and success” and to “commit to engaging the community by building enduringpartnerships that strengthen and enrich the region” [6]. Also, one of the strategic goals is to“incorporate and expand experiential learning opportunities (e.g., internships, service learning)”.Two of the “indicators of achievement” of this goal are “increase student participation in creditbearing internships and service learning projects by 20% by
initial knowledge and starts from there, creating an individualizedlearning plan that guides them throughout their review process, assessing their performance aswell.The additional homework was divided in three parts each one due before the previous knowledgewas needed in Statics.Part 1 consisted of 29 topics related to trigonometric equations and vectors. The average ofstudents’mastering for these topics was 24.30. Part 2 contained 23 topics related to lines andsystems of linear equations of which 21.6 were mastered by students, and Part 3 reviewed 18topics of inequalities, geometry, and quadratic functions (students mastered 17.5 in average) SeeFigure 1.Figure 1. Total Attempted and Masterd Topics (ALEKS)The students spent an average amount of
containedquestions about participants’ experiences in their computer science courses, their future plans,and their experiences with the computer science community. Interviews were recorded usingZoom after receiving participant consent and then transcribed using Zoom automatedtranscription tool. The auto-generated interview texts were reviewed and corrected by theresearch team for clarity.To analyze interviews, thematic analysis was used. Thematic analysis is a method to identify andanalyze patterns in qualitative data, and allows for themes to emerge from the data [30]. It iswidely used in qualitative research, and is not bounded by a priori codes from known theories.Instead, theoretical frameworks were applied after analysis to contextualize and make sense
student's academic career fosters early network building and canstrengthen their sense of identity within the major and the university. It's common for alumni tosay that they remain in touch with the friends they met during their undergraduate years incollege. Lastly, all accredited engineering programs must incorporate teamwork into theircurriculum since the Accreditation Board for Engineering and Technology (ABET) mandatesunder Criterion 3 that student outcomes include "an ability to function effectively on a teamwhose members together provide leadership, create a collaborative and inclusive environment,establish goals, plan tasks, and meet objectives." [8]. In summary, teamwork in engineeringeducation is not just a pedagogical tool but a
level and critical thinkinggroups. Lab6, Lab7, and Lab8 show no significant difference for all three groups whichrequires revision if instructors plan to use it in the future. Table 8. Difference evaluation in lab assignments for SWEN 310 course Assignment Diff vs. CT Diff vs. OS CT vs. OS N Lab1 0.02 0.00 0.02 7 Lab2 0.14 0.04 0.10 7 Lab3 0.06 0.00 0.00 8 Lab4 0.17 0.00 0.00 9 Lab5 0.07 0.00 0.00 8
orecosystems against equity outcomes across all four components [8]. Blikstein and Moghadamdefined Capacity as the ”implementation considerations” related to ”systemic obstacles” asmechanisms for equitable CS education [18]. Research focusing on Capacity has found thatGransbury, Heckman, McGill, DeLyser, Rosato ASEE 2024district leaders have not had the training to define CS and sometimes have difficultyconceptualizing how broadening participation in computing and equity fit into their district plans[19]. The literature focused on capacity continues to grow to address the systemic barriers thataffect education outcomes of historically marginalized populations in CS [20, 21].The second component in CAPE
mentors’ actions seem tobe self-serving or biased, not keeping the mentee in mind. One example of a dishearteningmentoring experience was expressed in the following story: Then in October she (mentor) goes, “I don't think you can publish these papers until you do one more experiment.” And I was like, “We talked about this experiment. This experiment will take a year and a half to do for nothing. It's not important.” So I was like, “I'm not doing this.” And you know she kind of wobbled on it and then I held my committee meeting in December and we finally killed it somehow … We set the date for March fifth. My family does not live here, so we started planning for flights and everything and then two weeks
% 8% 0% 8% computing degree more than prior to attending the conference Table 3: Immediate Impact on ASC (Post Survey N=29) Figure 6: Experience Perception Women Students EoS 2023 SurveyFigure 7: Experience Perception Women Students EoS 2022 Survey Figure 8: Sense of Belonging (EoS '22 & '23 EoS) Figure 9: Academic Self-Concept (May '23 & '23 EoS)6. Discussion and LimitationsOverall results presented in Tables 2-3 and Fig. 6-9 support that attending a conference positivelyimpacted student experience, bonding, SoB, and ASC. However, authors acknowledge the smallnumber of responses in the surveys and plan to conduct qualitative data collection and analysisusing interviews
having worked together, and trust that the group can succeed when it works together. Co-designing the mission statement early in the RED project set the stage for other successful endeavors. [3].8. Retreats: Departmental retreats are customary across Seattle University and a tradition in the ME Department. These retreats, which typically occur in the fall before the start of each academic year, are important in connecting faculty and staff and allowing departments to make plans. As part of the RED grant, the department changed how they prepared for and conducted retreats [1]. Instead of focusing on administrative details, the RED PI team spent time establishing retreat goals and activities that involved all faculty and staff
, while the Mexican team developed a can crusherto save space and a bicycle and a picnic table with solar panels to charge electronic devices oncampus. Exemplifying how the cultural environment draws different needs and solutions.Each team of students actively worked on their own solution while also providing guidance,support, and feedback to their counterparts on how to direct their own solution. III. DATA COLLECTIONThis course was not originally planned as a research project; thus, the data available for analysiswas limited to a promotional video created by students and end-of-semester, voluntary, writtenreflections about the course. The promotional video was transcribed using Otter AI software[6]. After
work and achieve more than the minimum requirements, could reflect a higher level of dedication to the craft. This genuine dedication could produce better results in other areas, but cannot be directly proven by this study.5.3 Peer Evaluation Relationships The weak correlations between peer evaluations and any other metrics means that it is nearly impossible to predict how personalities may interact off-campus, and training plans should not be modified due to the results of this study. In fact, Cadet Command has already indicated that future CST peer evaluations will only be used for self-development purposes, and not included in the final weight of CST OML. Because peer evaluations can be influenced so heavily by a few
, affiliate and mentor faculty and instructors. They also presented at the Provost Teaching and Learning Symposium as shown in Figure 2. • Attending two advanced workshops with Faculty at the home institution • Peer Mentoring: Students will mentor their ENES 396 peers and provide evaluation on their teaching practices and facilitation throughout the semester. This includes them attending one lecture/discussion of their peers. • Team lead and facilitate one ENES 396 discussion/lecture. Students will plan and facilitate a topic in ENES 396 or in their own classrooms that will be approved by the instructor.After completing ENES 397 and a research project, students earn undergraduate CIRTLassociate certification
thatderived from histories of colonialism and Empire” [10]. MIT was in no sense unique amongresearch institutions in tying itself to U.S. geopolitical interests but with its very high standingamong universities it achieved an extraordinary level of influence and funding during the secondhalf of the twentieth century.In June 1971, Gordon Brown, formerly dean of Engineering at MIT, accompanied by advisorsfrom the international consulting firm Arthur D. Little, arrived in Iran with the purpose ofdeveloping a comprehensive plan to develop a satellite campus of Aryamehr University ofTechnology (AMUT) in Isfahan, the third largest city of Iran located approximately 200 milessouth of capital Tehran. AMUT had been established just 5 years prior by the Shah
://www.researchgate.net/publication/228378064[12] Michael J. Fernandez, Julie Martin Trenor, Katherine S. Zerda, and Cassandra Cortes3, “First Generation College Students in Engineering: A Qualitative Investigation of Barriers to Academic Plans,” in 38th ASEE/IEEE Frontiers in Education Conference, IEEE, 2008.[13] J. P. Martin, S. K. Stefl, L. W. Cain, and A. L. Pfirman, “Understanding first-generation undergraduate engineering students’ entry and persistence through social capital theory,” Int J STEM Educ, vol. 7, no. 1, Dec. 2020, doi: 10.1186/s40594-020-00237-0.[14] Dina Verdín and Allison Godwin, “First in the Family: A Comparison of First-Generation and Non-First-Generation Engineering College Students,” in Frontiers in
e. Differentiated Instruction e. Prerequisites f. Alternate plans. f. ContextFigure 2: The ECP Module Instructional DesignAdditionally, by incorporating active learning techniques that seek to develop student self-foundlearning techniques, the pedagogy should pique students' interest, which can lead to deeperengagement with the material. This increased learning capacity and engagement can promotedeeper cognitive processing, enhancing schema formation and automation.MethodologyThis study provides an overview of the investigation in the chemistry department a HBCU usinghands-on mobile devices consisting of an input and output board. The purpose of this approach isto replace the traditional laboratory
support.Introduction“There’s Plenty of Room at the Bottom.” Richard Feynman (1960)Artificial intelligence (AI) methods are revolutionizing undergraduate science, technology,engineering, and mathematics (STEM) education through early forecasting of end-of-semesteracademic performance [1, 2, 3, 4, 5, 6]. These methods typically leverage numeric features ofstudents’ academic trajectories to train AI models. The advent of Transformer-based [7] largelanguage models (LLMs) [8, 9, 10, 11] has significantly expanded the potential for cross-domainapplications due to their extensive knowledge bases [12, 13] and complex task-solvingcapabilities through basic reasoning [9, 14, 15] and planning [16]. Fine-tuning these LLMs viatransfer
-2score. Furthermore, t-test results may be misleading as assumptions (e.g., independence, randomsampling, normality, and equal variance) were not fully met. Due to the missing data for one ofthe Manual Dexterity tasks (Threading Lace), we specifically focused on analyzing theperformance in the Aiming & Catching and Balancing tasks.Future research with a more prominent and representative, randomized sample with independentdata, along with improved data collection strategies, is essential to provide more reliable insightsinto the effects of VR interventions on motor skills in children with ASD. Non-parametric testingto establish statistical significance may also be necessary. In future studies, we plan to developan immersive VR system using a
IP address to ensure stable accessto the internet, to which an online user interface and data cloud are connected on the consumerside. The online interface allows the user to view pictures in the data cloud and request picturesto be taken directly from the device itself. A plan to possibly be implemented by futureresearchers is for the device to capture images and send them to the cloud at regular intervals, butthe current focus of the team is to have the device send pictures per request of the user.The device itself is enclosed in a mixture of Grey Pro resin and PLA. It is powered by a 12 Vsolar PV panel installed beside the probe itself as shown in Figure 4. This PV module includesseveral valve-regulated sealed lead acid/absorbent glass
common thread from UDL, EM, and HCD is collaboratively identifying solutions to meet theneeds of many users. As such, methods from all three frameworks were applied throughout thisproject to identify potential improvements to the bioinstrumentation lab.Background on Participatory Action ResearchOne common application of participatory action research (PAR) is developing knowledge andidentifying opportunities for quality improvement. The PAR approach combines participants andexperts in the research of social practices [12]. Generally, PAR includes cycles of reflection,planning, action, and observation. In education, PAR can be employed by instructors who wishto improve their teaching or courses by gathering evidence of teaching effectiveness
height was at its maximum height of sixfeet. This student suggested including stools as part of the lab equipment. Another studentsuggested including step ladders as well as a towel for leaks. The addition of stools or step-ladders would significantly reduce the portability of the classroom kits, so we plan to revise thedirections in the lab manual for the third and highest penstock height. We will revise thedirections to instruct students to raise the upper reservoir height to six feet “or as high as you cancomfortably reach.” The exact height is not critical; we simply want students to observe thegreater turbine power output and energy storage at higher reservoir heights.V. Conclusions The DESSERT project involved the creation of
professional emails, and types of listening. Participantsare given opportunities to practice skills through engaging activities such as identifyingerrors in professional emails and taking the MBTI assessment and participating indiscussions about the results.Career Development and ProfessionalismThe career development and professionalism workshop trains scholars on how to create aprofessional image and how to demonstrate to employers plans of self-improvement with aframework outlined by the NACE competencies. The workshop also stresses the importanceof using assertive communication in a professional setting and how to create an elevatorpitch. Participants are given the opportunity to apply skills through drafting and practicingtheir elevator
demographics survey,” AEESP Newsletter, October 2023, pp. 3-5, https://aeesp.org/sites/default/files/docs/AEESP-Newsletter-October-2023.pdf[4] American Association for Aerosol Research (AAAR). About AAAR. https://www.aaar.org/about-aaar/about-aaar/ Accessed Jan. 14, 2024.[5] Water Environment Federation (WEF). About WEF. https://www.wef.org/about/Governance/about/ Accessed Jan. 14, 2024.[6] Water Environment Federation (WEF). Diversity, Equity, and Inclusion. https://www.wef.org/topics/hot-topics/diversity-equity-and-inclusion/ Accessed Jan. 14, 2024.[7] American Academy of Environmental Engineers and Scientists (AAEES). Strategic Plan: January 1, 2024 through December 31, 2029. Oct. 2023. https://www.aaees.org
inside of this framework and the ongoingcollaboration fosters contribution toward larger, complex community issues – broader impacts.By working to develop a faculty and professional network of diverse mentors and leveraging thisfor targeted recruitment, institutions build a supportive and diverse learning environment todeliver an immersive internship that provided connection to the community while contributingto important change.Replication in the Second YearIn the first year of replication, the University of Notre Dame shared their orientation materials,and project planning strategies. Despite this aspect to facilitate the launch and alignment of thedifferent sites, each site was recognized as having a unique approach. Differences in
students who otherwise face barriers to accessing traditional campusresources due to logistical constraints. Furthermore, our findings underline the importance ofconsidering socio-economic contexts when implementing technological educational tools, toensure they are effective across diverse environments.Looking ahead, our research will continue to develop and expand the capabilities of remotelaboratories to further enhance their accessibility and effectiveness. We plan to improve thetechnological infrastructure of remote labs, ensuring they are robust enough to handle advancedsimulations and support a dynamic learning environment. This includes integrating insights fromthe current study into enhancing the MELODY model’s framework, specifically
-AI for enhanced learningRecent papers have explored the integration of G-AI into student learning, alongside conductingdata analysis on its effects on student learning and creativity. Despite these efforts, considerablework remains in identifying effective strategies for implementing AI within educationalframeworks to boost student learning outcomes 13,14 . One such work by Michel et al. discussesutilization of personalized feedback and supplementary learning resources with G-AI to promoteself-directed learning, especially among students with language barriers, learning disabilities, orthose engaged in distance learning 15 . Additionally, their work also mentions ideas for instructorsto create lesson plans, resources, and assessments
, and contributes to the existing knowledge gapabout marginalized populations’ experiences and success in engineering. Designing evaluationmethods to also allow research into student learning and identity formation is a powerful way toaddress this inequity. Our aim was to understand students’ individual research experiences alongside theirconceptions of what science is and their self-assessments of identity, sense of belonging, and 1professional skills. These insights serve as indicators of more valuable outcomes of learning andprofessional development than the common over-focus in REU program evaluation on whetherinterns plan to attend
ordered and elegant; a neatly bounded object that represents your competency. I knew I was a competent and clever doctoral student, but still my research did not look like that neat and tidy output. My research was messy, it was emotional, and it was not an easily divisible and logical process.” (Weatherall, 2019, p. 101)I itched to do something different in how I presented my work. I even planned to do a cross-stitch representation of each chapter at one point, buying cross-stitching supplies and everything.They never made it out of the package. I was drowning, trying to fit my non-traditional work intothe traditional box of engineering research. By trying to emphasize the rational, apolitical, andmechanistic elements of
andcomputing faculty to complete our online baseline survey. The purpose of this survey was tocollect baseline information to inform project planning and to establish a reference point againstwhich to measure change over time as a result of the project. The survey explored facultyperspectives on Culturally Responsive Teaching Practice (developed by our external evaluatorconsultant), Psychological Safety [21], Climate for Innovation [22], and DepartmentalCommunity [23]. In addition, faculty within the Computer Engineering department were asked toshare their perspectives on the department’s vision that outlines aspirations for thetransformational undertaking.Data were retained for analysis if respondents completed at least one of the scales in