students responded rapidly to thisrequest for revisions, motivated by their desire to be approved for a work permit for the project.Though challenging at the time, it was in the process of completing these revisions where muchof the learning took place for their project team. Their final report reflects the required changesand has served as an example for later teams [42].Moment Monument: This structure consisting of six isolated steel frames illustrating nine specialmoment frame (SMFs) connections was able to be considered a ‘sculpture/art piece’ forpermitting purposes, so the design and construction needed not be as extensive as an actual SMFused as a lateral force resisting system in a high seismic region. For seismic, in-plane analysiswas
application. To fully prepare future engineers, engineering education mustencourage students’ reflection on the interplay of engineered systems as life-changingtechnologies, with societal impacts and intersections with governance of the economy andhuman wellbeing.Since 2014 the literature on Responsible AI policy has increased exponentially in parallel withits expanded usage. This survey identifies current literature up to late 2024, on Responsible AIPolicy and Design across these domains of government, education, and media and describes it inthe context of changing policy approaches. Sources support discussions about opportunities,challenges, controversies, and future directions.The goals of this paper are: • Provide an overview of AI policy
representing other ethnic groups. The survey also captured responses fromstudents across various engineering courses, reflecting a diverse range of disciplines.Comprehensive demographic details, including gender, ethnicity, disability status, and courseparticipation, are provided in Table 1 and 2. Part Total Male Female Non- White Asian Latinx Other/ CS ECE&IE binary Mixed Class Class 1 669 479 186 4 113 522 20 30 487 193 2 604 433 167 4 104 470 20 26 438 151Table 1: Demographics of two surveys - Gender, Ethnicity, and Course (CS for Computer science
includes four sections: an‘intro’ session; a ‘play’ session in which students experiment with materials; a ‘learn’ session inwhich students review and practice relevant algebra standards; and a ‘build’ component, inwhich students build a design using algebra skills, following the Engineering Design Process[20]. Example mission topics are technical rescue, machine learning, soundproofing, businessoptimization, and urban heat islands. The course was conceptualized as an Algebra I applicationscourse; each mission integrated relevant Algebra I standards (refer to Appendix A) and built onthe Engineering Design Process (Ask, Research, Imagine, Plan, Create, Test, Reflect, andImprove). Moreover, the course functioned as a survey course to engineering
opportunities. The GEMS program, recognizing the need toprepare all high school students, has since expanded to include male students, leading to itsrebranding as Girls & Guys in Engineering, Math, and Science (G2EMS). This change reflects abroader effort to align more closely with both local and national priorities related to pre-collegepreparation and workforce readiness. However, for consistency, the program will continue to usethe previously established acronym throughout this paper.GEMS has partnerships with schools in San Antonio ISD, Judson ISD, Southwest ISD, andSouthside ISD to host miniGEMS After-School STEAM and Robotics clubs throughout theacademic school year [1], [2], [9]. Each of these districts is home to Title I schools in
analysis method, a review of the codes and memoing was conducted toconsolidate the information collected and then collated into the various categories. A caseanalysis was then conducted with the informant to verify and validate the findings. A vignettewas generated reflecting on the particulars shared by the informant. Lastly used the pre-structured case outline to assist with formulating the theme of the findings.VignetteThe pilot study informant is a PDM who enjoys solving problems with real solutions. For thisinformant, the PDM should be detail oriented and be able to see the big picture. Additionally, beable and willing to make contributions towards successful implementations.The informant stated the roles and responsibilities of the PDM
authorsFigure 8. Textbooks used in first-term courses. N = 39.Computational or simulation activities are done in 54% (22 of 41) first-term courses, which islower than in any other term. Computational fluid dynamics is a topic in only six first-termcourses (15%). None of these computational activities are incorporated into the course grade in18% of the courses with them, some in 59%, and all in 23%. Excel and MATLAB are the most-commonly used packages, as seen in Figure 9, again reflecting the low coverage ofcomputational fluid dynamics. Excel Python MATLAB Software packages Mathematica
students (and faculty) involved.To briefly summarize, USAFA provided a single-semester rocketry design course for many decades,beginning in 1964. [8] The content and structure of that course is largely reflected by the materialdescribed in the following section. The purpose of that course was to provide a hands-on, practicalrocketry experience to USAF cadets desiring to pursue a career in astronautical engineering. Thecourse was highly successful, as the author can personally attest, in that it drew students from aroundthe country to USAFA to partake in this dynamic and exciting experience. As both an instructor for thecourse and an academic advisor over a span of some 8 years, I encountered numerous cadets whoclaimed the rocketry experience was a
andminorities in research despite knowing that they exhibit different symptoms and have risk factorsdifferent to mainstream groups. Some facial recognition software has shown a bias in favor oflighter skin tones. If AI is trained on electronic health records, it is building on only people whocan access healthcare and is perpetrating any limits that are included those records. Health-related AI data need to represent a wide range of social and economic backgrounds; otherwise,algorithms will merely reflect the pre-existing biases of society when faced with situations thatinvolve ethical and social complexity. For example, if poor patients’ health conditions are foundnot to improve after chemotherapy, machine learning algorithms might recommend against
- Moderately effective 4 - Very effective 7 5 - Extremely effective What value does your project provide, and to whom? Who are the potential users or beneficiaries of your project? (Open-ended response)Revenue Streams/Cost Structure: Did your team consider the financial aspect of your project, such as potential costs and revenues? Yes/No Briefly develop a cost structure for your project.Final Reflection: What were the most significant lessons you learned from this project? (Open-ended response)3.2 Project – Design and Fabricate an S-Binder with Additive Manufacturing forMaximum Strength-to-Weight Ratios (Additive Manufacturing)The
exploration and critical thinking. This will help ensure that studentsmaintain confidence and receive appropriate guidance as the topics become more complex. Thestudent feedback also underscores the value of hands-on learning experiences in IoT education.Many students praised the course’s emphasis on practical application and experimentation, whichhelped them develop a deeper understanding of complex concepts and technologies. However,given the breadth of topics covered in the course, managing the workload of hands-on activities isimportant to avoid overwhelming students. Overall, when students were asked to reflect on whatthey hoped to learn from the course, 47 students (96%) indicated that the course either met orsurpassed their expectations (23
disabilities Postsecondary education, inclusive postsecondary, postsecondary settings Learning disabilities, disabilities ldFigure 4. Visualization of trending topics in abstracts across the timespan of the dataset.Figure 4 contains the 44 top trending topics from the Abstract field, showing the time span foreach topic with the circle indicating the median year of usage. Some phrases have fallen out ofusage, such as “vocational education”, and others have come into use in recent years, such as“mental health” and “social support.” The trending topics visualization also reflects a change inthe way that disabilities are described and understood medically. Phrases we now consider to bepejorative, such as mental retardation, have fallen out of
incentives to engageand retain users. The prospect of profit serves as a catalyst for tech industry growth, promptingus to pause and reflect on not just “what” products are being developed, but also “why” and“how” they are being created, as well as considering “who” is using those products.Undergraduate coursework offers an ideal setting in which to incorporate ethical andpsychological principles into engineering training. Traditionally, academic programs haveoffered diverse classes and training methods with focus on requisite technical and proceduralskills for innovation. There are varying treatments of how ethical and psychological conceptsare integrated in engineering and computer science programs where technology products arebuilt as part of
in Table 5 and visualized in Figure 8. This survey was aimed at evaluating students’ cognitive and physical workload while interacting with the module within the MR-shared environment. Table 5 shows that Q2.2 (Presence) received the highest mean value (M=3.79, SD=0.86), indicating that the majority of students felt a strong sense of presence and immersion during the task. As shown in Figure 8, 72% of the students (71 out of 98) rated their experience between “Moderate” and “Very High”, reflecting the effectiveness of the MR-shared environment in creating a sense of engagement among the players (users).On the other hand, Q2.3 (Physical Demands), Q2.7 (Situational stress), and Q2.8 (Distraction)received the lowest mean values with (M=1.57, SD
practice, students whose MGUDS-S scores declined were found to have provided negativefeedback, and Slack logs revealed that tasks had been disproportionately assigned to certainindividuals. This suggests that the students' subjective evaluations accurately reflected theactual situation, thereby demonstrating the effectiveness of the proposed methods [1][2].1.4 Problems with Slack-based evaluation in Face-to-Face group work andimplementation of peer assessmentAs initial restrictions related to COVID-19 were lifted and face-to-face activities resumed,the limitations of using Slack-based evaluation to capture student engagement becameincreasingly evident. The authors observed a notable decrease in the total number of Slackposts: while there were
. The views and opinions of authors expressedherein do not necessarily state or reflect those of the United States Government or any agency thereof.References[1] J. Olson, Small-to-Big Physics: An Engineering Physics Model for Broadening Participation in Nuclear Science and Engineering. Rensselaer Polytechnic Institute, 2022.[2] B. J. Guzzetti, T. E. Snyder, G. V. Glass, and W. S. Gamas, "Promoting conceptual change in science: A comparative meta-analysis of instructional interventions from reading education and science education," Reading Research Quarterly, pp. 117-159, 1993.[3] S. H. Creem‐Regehr and B. R. Kunz, "Perception and action," Wiley Interdisciplinary Reviews: Cognitive Science, vol. 1, no. 6, pp
tested frameworks.A third constraint arises through the unit of analysis. In making systemic changes at a degreeprogram level to have impact upon the common good, what exactly is to be changed? One cananalyze the program, those who manage the program, the outcomes of the program at a cohortlevel, or at the individual students who go through the program. Here individual students arechosen as the unit of analysis. This reflects the author’s bias towards personalism [5], whichbroadly focuses on the centrality of persons, seeing human growth and development as central tothe common good. Personalism developed in the 19th century in reaction to depersonalizingmovements in philosophy such as absolute idealism, political movements, and the sense
societal impact, professional skills, and design. These themes are 2integrated across eight project-based units. Units 1 & 2 introduce engineering as a discipline thatshapes everyday life. Units 3 & 4 introduce students to the engineering design process; the classresearches a local problem, collaborates with stakeholders, and develops prototype solutions.Units 5 & 6 expand to global challenges, guiding students to design, test, and refine prototypesaddressing both global and local issues. Units 7 & 8 encourage students to identify problems intheir daily lives, apply the design process, and reflect on their learning. Throughout the
library events. Notes were kept of people’s comments and concerns expressed at these events, and recurring agenda topics. The field notes included describing behaviors, activities, reflections on mood, interactions, processes, and context, so that “themes, patterns, understandings, and insights” could be extracted during analysis [67]. The news forums monitored included local newspapers (also coverage of local news onnational and international news websites), community newsletters from each of the communitycouncils, bulletins from the city council members who cover the area, and daily listserv newssummaries from the American Society for Engineering Education (ASEE) on engineering andtechnology news selected from thousands of sources
. Once the response instructions and the library are implemented,the chatbot’s responses will be tested.User Feedback Collection and Analysis Two ways to obtain student data: surveys and chatlog data. The surveys contain thestudent opinions towards its use as a tool, the effectiveness of the chatbot to their learning, andthe chatbot's performance. Feedback identifies shortcomings, informs enhancements totroubleshooting processes, evaluates the chatbot's utility in the class and refines the chatbot’sguidance capabilities. Surveys are administered at the end of the academic term, allowingstudents to reflect on the overall chatbot experience. The survey was created using Qualtrics andadministered using the Qualtrics participant link. Once
tool and scored higher compared to the other ones,who used traditional methods. This suggests that the PA learning approach can advance theeducational experience effectively, especially when students are engaged through interactive,personalized instruction rather than passive learning techniques. PA's potential in foreign language learning was a widely explored topic. In a study by [14],the impact of PAs in foreign language education was explored by comparing it to traditionalmethods such as watching movies with subtitles. The results revealed that students workingwith PAs showed marked improvements in comprehension and performance. This reflects abigger vision, where language learners gain knowledge from interactive figures with thematerial
surveys did provide some valuableinsights regarding the assessment of the need to integrate AI in construction education, and theymade it easier to make recommendations for incorporating AI in construction curricula.Status of incorporation of AI in construction educationAI-related applications have been increasingly incorporated into construction managementeducation curricula, reflecting the growing importance of AI technologies in the constructionindustry. For instance, California Polytechnic State University, San Luis Obispo, assessed theneed of AI-related applications for their BS in Construction Management by surveying theConstruction Management Advisory Council, focusing on AI adoptions in the planning,construction, and operation and
methodologies like AES, ECC, and TLS protocols. It emphasizes the importanceof proper key management—generation, distribution, secure storage, and timely re-vocation—and addresses potential challenges of encryption, such as computationaloverhead, interoperability, and regulatory compliance. Forward-looking trends suchas quantum-resistant cryptography and leveraging AI-enhanced security protocols 20are also discussed, reflecting an awareness of evolving security in communicationsrequirements. Physical layer security is another significant component covered, emphasizing itscritical role as a foundational defense layer against interception, eavesdropping, andjamming. Techniques such as spread spectrum
(AIChE), the leading organization for chemicalengineering professionals, is reflecting this move toward sustainability by adopting “Innovatingfor Sustainability” as one of its three core pillars and establishing initiatives such as the Institutefor Sustainability (IfS) and the Sustainability Engineering Forum (SEF), which provide resourcesand credentials to advance sustainability within the profession [3-5]. AIChE identifies 218institutions offering undergraduate sustainability programs [6].Within undergraduate chemical engineering programs, there are diverse approaches tosustainability education. Some programs offer stand-alone sustainability courses as upper-levelelectives [7,8], while others introduce sustainability courses earlier in the
byhydrogen storage and handling. To ensure that students are adequately prepared for theseregulatory shifts, aviation curricula should integrate ICAO and FAA guidelines related tohydrogen fuel management, cryogenic safety, and operational risk mitigation [19]. Courses onaviation regulations must reflect these evolving standards, equipping graduates with the expertiseneeded to navigate compliance requirements for hydrogen-powered flight operations.Industry collaboration is essential in strengthening hydrogen aviation education and ensuring thatacademic programs align with real-world applications. Partnerships with aircraft manufacturerssuch as Airbus and Boeing provide valuable insights into the technological advancementsshaping hydrogen aviation
% of the models examining persistencebeliefs produced an adjusted R-square value between 0%-30%. Overall, these findings reflect the disparities between achievement goal theory’s ability tounderstand the motivational process of Latinx students accurately. The findings suggest that otherfactors such as cultural, social, structural inequalities, or perhaps goal orientations not yet theorizedmight play a more significant role in shaping Latinx students’ self-efficacy and persistence beliefsthat should be part of achievement goal theory. Following, I examine how each achievement goalmeasure differentially helps inform Latina, Latino, and White students’ self-efficacy andpersistence beliefs.Mastery goals had a greater impact on White
often seen as a means to a better career and standard of living[30], [31], reflecting their strong focus on career planning.Military students specifically also selected interview practice and networking with industryrepresentatives at higher proportions than the other two subgroups. These findings suggests thatmilitary students are focused on learning how to better connect their military and educationexperience with their career trajectories. Current research with military students corroboratesthese findings, showing that many military students need help connecting their militaryexperience to specific job market skills [29], [32]. Research also shows that many faculty, staff,and advisors who work with military students also have a hard time
describe what students should be able to exhibit as they participate in anEPSA scenario discussion. The revised outcomes also more accurately reflect the original andupdated EPSA outcomes definitions and descriptors.The outcomes revisions focused on wording that is easier to understand and identify whenassessing a student discussion. For example, instead of students show “recognition of the needfor and ability to engage in life-long learning”, the 2024 wording for outcome 4 is more preciseand specifies the skills that comprise life-long learning: “Students acquire, interpret, evaluate andapply information.”Competencies considered critical for career readiness by organizations and industry informedboth the original EPSA Rubric learning outcomes and