at the transfer target institution (public, primarilyundergraduate, highly-selective) and/or misperceptions about low-income students, potentiallylimit the ability of low-income transfer students – including ENGAGE students – to develop andutilize their strengths to support their academic and professional success? Another way to askthis question is whether colleges and universities are “strengths ready” for all the strengths of allof our students?AcknowledgementFunded by the National Science Foundation (DUE 1834128, 1834154). Any opinions, findings,and conclusions or recommendations expressed in this material are those of the authors and donot necessarily reflect the views of the National Science Foundation.References1 Soria, K. M., &
' socioemotionaldevelopment. This understanding could help identify specific program elements that mosteffectively support students' academic progression and professional identity development.AcknowledgmentThis material is based upon work supported by the National Science Foundation under grantnumber DUE #2147320. Any opinions, findings, and conclusions or recommendations expressedare those of the authors and do not necessarily reflect the views of the NSF.References[1] X. Chen, "Remedial coursetaking at U.S. public 2-and 4-year institutions: Scope, experiences, and outcomes. Statistical analysis report.," U.S. Department of Education., Washington, DC: National Center for Education Statistics, 2016.[2] F. Ngo and T. Melguizo, "The Equity Cost of Inter-Sector
. Any opinions, findings and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] NSF and NCSES, “Diversity and STEM: Women, Minorities, and Persons with Disabilities 2023,” National Center for Science and Engineering Statistics, NSF 23-315, 2023. Accessed: Sep. 18, 2024. [Online]. Available: https://ncses.nsf.gov/pubs/nsf23315/report/science-and- engineering-degrees-earned#overall-s-e-degrees-earned-by-underrepresented-minorities[2] M.-T. Wang and J. L. Degol, “Gender Gap in Science, Technology, Engineering, and Mathematics (STEM): Current Knowledge, Implications for Practice, Policy, and Future Directions
wordsIndigenous, identity, giving back and Nation building, Two-Eyed SeeingAcknowledgementsThis work was supported by the National Science Foundation under Grant No. 2000619.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.We acknowledge the participants who shared their experiences with us through surveys andphoto elicitation interviews.The current paper explores how the identities of Indigenous computer scientists and engineersintersect with their cultural values both in terms of their motivations to be in these disciplinesand in terms of how they approached their work. The study is drawn from a larger study fundedby
knowledge about the role of S.T.E.M. components in promoting persistence inundergraduate STEM programs.Note that PSCC is one of the premier institutions in Central Pennsylvania that provides STEMeducation. Data from PSCC Enrollment Services Office indicates a STEM enrollment increase of24.11% for PSCC during the last six years. In addition, PSCC is located in Dauphin County,Pennsylvania, which has a 29% diverse population4 that is reflected in its student population.PSCC serves the Harrisburg metropolitan area with a population of about 1.3 million, includingsome high-need school districts. PSCC is also in proximity to a state capital, commerce, and to avariety of industries that offers our students opportunities to be involved in internships
tool.AcknowledgmentsWe acknowledge support from the National Science Foundation (NSF) through grant 2226553.Any opinions, findings, conclusions, or recommendations expressed in this material are those ofthe authors and do not necessarily reflect the views of the NSF.References[1] E. Mazur, Peer Instruction: A user’s manual. in Series in Educational Innovation. Prentice Hall, 1997.[2] C. H. Crouch and E. Mazur, “Peer Instruction: Ten years of experience and results,” Am. J. Phys., vol. 69, no. 9, pp. 970–977, Sep. 2001, doi: 10.1119/1.1374249.[3] M. D. Koretsky, B. J. Brooks, R. M. White, and A. S. Bowen, “Querying the questions: Student responses and reasoning in an active learning class,” J. Eng. Educ., vol. 105, no. 2
provided groups with data, students will have to select the right equipmentand measurements for each step of the process. Once groups have selected their inputs andinitialized the test, an animation will play, showing the treated water change color and opacity torepresent the removal of contaminants. Then, student groups will need to measure the turbidity,organic carbon content, and pH of each jar. Upon reflection of their experience completing thehtml version of the laboratory, students reported wanting visuals or animations of the proceduralsteps when completing the activity; therefore, a goal of the Unity Jar Test was to include theserepresentations of the laboratory procedure for students.Figure 1: The jar testing apparatus from the Unity Jar
Foundation under GrantNo.2221189. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] D. C. Kar, S. A. King, and D. Um, “Supporting Low-Income, Talented Undergraduate Students in Engineering and Computing Sciences with Scholarships and Mentoring,” 2023.[2] N. Kumar et al., “Shifts in Perceptions of Career Pathways: The Impact of an S-STEM Program on Lower-Income Computing Students,” 2024 Am. Soc. Eng. Educ. Conf. Expo., Jun. 2024, Accessed: Oct. 14, 2024. [Online]. Available: https://par.nsf.gov/biblio/10513281-shifts-perceptions-career-pathways-impact-stem-progra m-lower-income
therepresentation of women from higher education to the workplace reflects a concerning pattern ofwomen leaving engineering at critical transition points. This is evident by retention rates: only26.8% of women engineers remain in the field 11 to 15 years after earning their degrees,compared to 41% of men [4].Internships, as a critical first step in occupational socialization [5], significantly influence collegestudents’ post-graduation employment decisions and long-term professional satisfaction andaspirations. Data has shown that engineering students participate in internships at a higher ratethan students in most other majors [6]. These internships offer numerous benefits, includinghands-on experience, exposure to real-world challenges, networking
spatial skills based upon gender and socio-economic status [16]-[19] whichcould explain gaps in diversity in engineering; however, studies have also shown that spatialskills are malleable [20], which means disparities in graduation rates in engineering can bereduced through spatial skills intervention.Communication Skills in EngineeringOne crucial ability for engineering graduates is communication abilities, including visual, oral,written, and other forms of communication aimed at various audiences. Technicalcommunication skills are critical for engineering graduates’ success as they enter an increasinglyglobalized market and must interact with those from various cultures. The importance ofcommunication for career success is reflected by ABET’s
us.AcknowledgmentsThis work was supported by the U.S. National Science Foundation through award #2040095.Opinions, findings, conclusions, and recommendations expressed are those of the authors and donot necessarily reflect the views of the National Science Foundation.ReferencesBrooks, A. L., Shekhar, P., Knowles, J., Clement, E., & Brown, S. A. (2024). Contextual influences on the adoption of evidence-based instructional practices by electrical and computer engineering faculty. IEEE Transactions on Education, 67(3), 351–363. https://doi.org/10.1109/TE.2023.3338479Case, J. M., & Light, G. (2011). Emerging research methodologies in engineering education research. Journal of Engineering Education, 100(1), 186–210. https://doi.org/10.1002/j.2168
conducted by faculty at the institutionsand sustainability related programs. For degree program consideration, we included programs thatmentioned sustainability in the title and those that were listed on their website.Research and Grant fundingSome institutions have long established environmental engineering programs, but they do not havestrictly designated programs or degrees related to sustainability. However, the environmentalengineering faculty are engaging in sustainability research (source).Departments and MajorsHigher education institutions across the United States have implemented sustainabilityinitiatives, reflecting regional priorities and institutional goals. By examining the environmental,social, and economic sustainability efforts at
equivalency decisionsmade by receiving institution faculty may reflect program-specific concepts of rigor (A.Richardson, 2021; Senie, 2016). When sending-institution coursework is assessed asinequivalent, the transfer function of higher education contributes to the perception of a fracturedengineering education ecosystem. The assessment of coursework equivalency is particularlycentral to transfer admissions, when compared to undergraduate and graduate admissions. Incombination with other aspects of transfer admissions, the process of determining courseequivalency contributes to student experiences of increased time-to-degree and credit loss.Credit loss Credit loss occurs when a transfer student’s college coursework is not accepted by
GraduateEducation and the Professoriate Award (#18-21008). Any opinions, findings, conclusions, orrecommendations are those of only the authors and do not necessarily reflect the views of theNSF. ReferencesAjzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. Journal of Applied Social Psychology, 32(4), 665–683. https://doi.org/10.1111/j.1559-1816.2002.tb00236.xBurke, L. E. C. A., Hall, J., de Paiva, W. A., Alberga, A., Mu, G. M., Leigh, J. P., & Vazquez, M. S. (2019). Postdoctoral scholars in a faculty of education: Navigating liminal spaces and marginal identities. Arts and Humanities in Higher Education, 18(4), 329–348
implementation attitudes, practices, and pedagogical strategiesin engineering education. The top journal outlets were IEEE Transactions on LearningTechnologies and Transactions on Education. Only one book chapter was published, indicatingthat researchers are currently focusing on utilizing journal and conference outlets for AI inengineering education.DiscussionOur preliminary analysis up to this point provides tentative suggestions on our researchobjectives; there has been an increase in studies within faculty AI adoption and implementationresearch within the past year, with a projected increase in the coming years. However, it is yet tobe seen if the rise in research reflects a positive impact on faculty pedagogical strategies on AIutilization in
concepts in an active-learning setting,working to bridge the gap between prelab theory and more complex skill implementation in labsthrough collaborative learning. We use class time for short collaborative activities andchallenges, demonstrations, reflections, and short lectures covering topics that are essential touser-centered VR app design such as lighting, UI, environments, and interactable assets.Additionally, we often reserve time for learners to enter VR and explore a particular application,noting the app’s use of the concept taught in class. This hands-on and immersive explorationallows students to observe the practical applications of what they’ve learned, so they can laterapply these design choices when working on that week's lab.Our
Computer Science faculty member familiarwith the use of various AI tools, and a student researcher familiar with both technical writingconventions and statistical analysis.BackgroundThere is a growing body of literature on using AI as a tool supporting assessment. Working atAalborg University, Lindsay and Jahromi [1] explored using Natural Language Process (NLP) toassign pass/fail grades to a 2000-word reflective essay. The researchers were motivated to use AIbecause of the labor-intensive nature of grading the essays, which they calculated as “well over500 hours of pass/fail summative assessment work within a very short timeframe” for their 1500students who completed the task. Of the 1500 submissions, Lindsay and Jahromi used 80% ofthe data as a
faculty identified inour landscape though we may then miss important information from those that were notidentified / profiled. We hope that our process will be useful for helping others conduct similarstudies in countries where engineering education is emerging as a field of study and research inorder to identify more specific questions and topics of exploration that will allow us to betterunderstand the social reality of EER faculty.References[1] S. Mattucci, “A snapshot of the Canadian engineering education system: reflections from anemerging scholar trying to support national curriculum change,” Canadian EngineeringEducation Association Conference, Ottawa, ON, June 9-12, 2019.[2] P. Sheridan, J. S. Cicek, L. Kuley, and R. M. Paul
procedures. Note that these courseobjectives were not changed during the restructuring.Early in the semester of Junior Design I, Dr. Clay Hallman, an Assistant Professor andVeterinary Radiologist in the College of Veterinary Medicine, provided a guest lecture coveringthe diagnostic utility of radiography and ultrasound. This provided students with a basicunderstanding of the problem at hand, and why ultrasound phantoms are needed as a trainingtool. It was emphasized to the students that it was not expected of them to create an entire caninephantom. Instead, student teams were instructed to focus on a single organ, and aim to have theirphantoms reflect the echotexture, acoustic impedance, and anatomical structures typicallyviewed under ultrasound
interviewing skills. Students had the opportunity to immediately implement these skillsthrough multiple meetings with the client and clinicians over 3 days. On the final day, theycollaboratively ranked user needs identified during the sprint with the client, allowing memberchecking while involving the client in the design process (Appendix). This activity substitutedfor a final presentation to emphasize the significance of co-design. The increase in terms relatedto the intersection of design thinking and health equity in the students' concept maps reflects theclassroom emphasis and the intensive hands-on work completed in a short timeframe. Anothersuccess of the sprint was the strong team dynamics built on trust and vulnerability among thestudents and
institutions operate in a legal environment that favors innovation andentrepreneurship, that is, intellectual property. Therefore, the process of filing patents, which involvesrigorous legal steps, should be reflected in the proposed capabilities index, as discussed in Powers'approach [12] to research commercialization.On the other hand, indicators of scientific and technological production focus on the quantity andquality of research generated by universities. This component reflects the institution's capacity to produceknowledge that is valuable for industry and society, aligning with Meyer's proposal [10] onuniversity-industry links.As for the indicators of human resources with scientific impact, they measure academic talent and thecapacity of
sustainabilityprojects provided students with hands-on opportunities to develop competencies critical for thegreen building industry. Specific course outcomes were aligned with NACE competencies, andadditional learning objectives were introduced to address gaps, ensuring a more comprehensivecompetency development approach. However, this study did not evaluate the students’ perceivedgrowth as a result of this implementation.Walters [6] investigated the integration of NACE competencies in architectural engineeringcurricula, focusing on aligning core competencies with ABET standards and programeducational outcomes. The study utilized a systematic framework to map course objectives withNACE competencies. Their study included assessments of student self-reflections
access a broader range of expressive (e.g., encouragement, motivation) and instrumental (e.g.,course or career advice) supports. While this observation is still under analysis, it may reflect theimportance of sustained educator involvement across educational stages, particularly for studentsnavigating decisions about engineering pathways.These early findings point to an important opportunity. While engineering-related exposure inelementary school often takes the form of hands-on activities, the framing and contextualizationof those activities could be strengthened. With support from curriculum designers andeducational leadership, teachers could incorporate simple language cues, such as describingbuilding or designing activities as “engineering
resource for learners. Textbook also enable learners to preview and reflect oninformation that is taught in the classroom. Textbooks further have example problems andexercises that enable learners to put knowledge and skills into practice. Challenges associatedwith textbooks include [8]: • The information must be organized to move from what the learner knows to what they don’t know. • References must be provided for further study. • The learner should understand how the information in each chapter is connected. • The information should show how it is applied in real world contexts. • Textbooks should encourage inquiry-based learning.A 2023 survey of 95 institutions in the US and Canada, looked at how process safety istaught
2019 49 6 11 5 16 17 31 11 30 2020 59 4 12 10 31 31 29 16 30 2021 66 6 18 9 35 36 48 14 41 2022 52 6 11 21 98 42 56 14 48 2023 91 14 68 31 62 108 49 59 85 2024 109 22 97 38 68 152 56 94 119The overall thematic distribution reflects a significant shift in engineering education priorities.While the initial years (2017-2020) focused on
faculty to effectively navigatethrough their emotional experiences. Improving emotional experiences will not only be a benefitto engineering faculty but beneficial to engineering faculty’s’ students and their administration.Further, the CGT model will highlight the power of positively improving strategies forimproving emotion regulation in faculty. Additionally, we aim for this study to be a basis forfurther research understanding the complex emotional experiences of engineering faculty.AcknowledgementsThis work was supported through funding by the National Science Foundation (NSF CAREER#2045392). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the
describes a course chart used in an Analog Signal Processing classafter the author took the “Course Gamification with Brightspace Features” course, which ismainly to help faculty adopt Brightspace features to motivate students. The method aims to helpstudents remember the material as quickly as possible at the beginning and also is used as theprogress map in course gamification.III. THE COURSE STRUCTURE CHARTA progress map as shown in Fig. 1 in course gamification originally resembles a cartoon picture.It is used to help students realize their achievements or journey throughout the course. It providesa visual reflection for students, showing not only how much work they have completed but alsohow much work remains, similar to playing a game
those of the authors and do not necessarily reflect the views of the National Science Foundation.ReferencesBandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191.Buechley, L., & Ta, R. (2023). 3D Printable Play-Dough: New Biodegradable Materials and Creative Possibilities for Digital Fabrication. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 1–15. https://doi.org/10.1145/3544548.3580813Creswell, J. W., & Clark, V. L. P. (2017). Designing and conducting mixed methods research. Sage publications.Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage
]. As reflected in Table 1, in the time it took to produce this report, the mostprominent genAI platform, OpenAI’s ChatGPT, underwent six major advancements. If averagedconservatively across even the earlier years of development, the ASEE report productiontimeline still covered an average of about three such key technological progression events.GenAI is developing at a rate that makes it difficult to even assess the impact of such toolswithin typical analytical time cycles.GenAI in the practice of environmental engineering: applications and observed rates ofchangeAcademia prepares students to enter the workforce. It should equip students to quicklyunderstand current practices and prime them to share innovative approaches incubated
participation? How does this vary by unit of analysis from individuals to departments to engineering colleges and institutions?These research questions will be evaluated in a variety of ways, including administratorinterviews, faculty focus groups, and meeting notes/journal analysis. Additionally, deans and/orrepresentatives from 20+ schools across the US have agreed to serve on an Evaluation Board tohelp evaluate project goals.Acknowledgements and DisclaimerThis material is based upon work supported by the National Science Foundation under AwardNos. 2044199 and 2417098). 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