for every aspect of everypossible system or environment, but in its current configuration it does provide an extremelyuseful analog to many of them. For our work, we focus on the use of algorithms to increasesystem resilience.System resilience is a key consideration reflected in most systems, such as modeling coastalinfrastructure after root systems to better withstand environmental challenges or utilizingalgorithms inspired by mountain gazelle behavior to enhance the reliability of power controlsystem operations [21, 22, 23]. The STARS platform has the capability to test variousbiologically inspired algorithms aimed at improving system resilience. This characteristic makesSTARS a unique educational platform for the student researchers in the
pattern on achip, and creating a design for a cute paper circuit greeting card? It’s the same skill – drawing –but somehow, in a certain context, it becomes taboo to a certain subset of academics. Thedismissive nature of community crafting seemed to me to reflect broader trends in academia ofwho is included, who is excluded, which skills are traditionally valued, and which skills –however applicable to engineering – are looked down upon. So while this experiment may havestarted out as a way to spite a handful of anti-craft colleagues, it turned into much more.The stress-relieving benefits of crochet that our participants encountered feels almost ironic tome in the best possible way. So many people have taken pride in creating an environment
, pp. 202–248, 1998, doi: 10.3102/00346543068002202.[30] K. O. Siwatu, K. Page, and N. Hadi, “The Development of the College Teaching Self- Efficacy Scale,” College Teaching, 2023, doi: 10.1080/87567555.2023.2203892.[31] M. Tschannen-Moran and A. W. Hoy, “Teacher efficacy: capturing an elusive construct,” 2001.[32] S. E. Dechenne, L. G. Enochs, and M. Needham, “Science, technology, engineering, and mathematics graduate teaching assistants teaching self-efficacy,” 2012.Disclaimer and Public Release“The views expressed in this article, book, or presentation are those of the author and do notnecessarily reflect the official policy or position of the United States Air Force Academy, the AirForce, the Department of Defense, or the
Figure 3 and 4.Students struggling with vectors performed worse overall on the first exam in Fall of 2024, butperhaps more troubling is the fact that several weeks of instruction about vectors – in the contextof their representation of forces in statics problems – still did not yield mastery of thesefundamental skills at exam time. This result poses questions that get further at root causes of theproblem. While most students post-statics would likely reflect on these basic vectors skills, suchas vector addition and magnitude, as straightforward, it is not clear if or how the transition occursbetween being a novice and being able to apply these operations. The authors have postulatedthat some of the challenge may come down to students being
ways. This synthesis literature review analyzes only ninearticles. A small sample size is not ideal for any literature review. This is because the overallfindings may not accurately reflect all points of view. Additionally, most articles came from thesame university. A larger sample size with a higher university diversity would produce moregeneralizable results. Another area for improvement is that the author only searched three onlinedatabases. These searches produced limited articles that related to the research questions. Morearticles may have been found if more databases were searched. 36 Preliminary Results/DiscussionThis section examines
produce actionable insights thatcan be scaled and adapted to other engineering programs.The proposed study is not without its limitations. One primary concern is the potential for bias inself-reported data collected through surveys. While the surveys are designed to assess students'comprehension, attitudes, and self-efficacy, responses may not always reflect their actualunderstanding or intentions. Additionally, the study does not control for pre-existing differencesamong students that might influence outcomes, such as varying levels of prior exposure toengineering concepts, academic preparedness, or personal circumstances. Furthermore, the causalinference framework, while robust, may not fully account for unobserved confounding variables,such as
of data quality. Keeter et al.,Fosnacht et al., and Wu et al. [9-11] found that lower response rate results often align withresults from broader populations, particularly when distributions reflect known demographics,the sample is sufficiently diverse, and of sufficient size (500+) particularly in educationalresearch.In this study, the public vs. private school distribution of respondents closely aligns with nationalfigures, and the demographics generally align with those of Northeastern University, suggestingthat the dataset may still be informative for pilot purposes despite its small size. In recognition ofthese concerns, the findings presented are not intended to represent all first-year engineeringstudents but to serve as an exploratory
for technical elective AI/ML courses taken during the senioryear.Related WorkThere have been different attempts at incorporating the machine learning curriculum in college-level courses or degrees. Various papers highlight the integration of AI, ML, and cybersecurityinto educational curriculums, reflecting the increasing importance of these fields. The following isa representative set of related work. • Machine Learning: An Undergraduate Engineering Course by S. Khorbotly [5]. This paper discusses the development of an undergraduate machine learning course, including the challenges faced and the balance between breadth and depth of topics. • Infusing Data Science into Mechanical Engineering Curriculum with Course-Specific
. Student-focused direct measures include students’ self-efficacy and self-regulatoryfactors for writing, collected through the Metacognitive Strategy Knowledge Test (MSKT).[17]This inventory is designed to measure strategies mapped to the three stages of writing(before/planning, during/writing, and after/reflecting) predicted by Metacognitive WritingKnowledge framework,[18], [19] which provides natural subscales. To measure self-efficacy andself-regulation, the Writing Self-Regulatory Efficacy Scale (WSRES) [20] has been adopted andadministered to participating students in the Writing SySTEM. The adoption process will involveminor rewording to items to make them more realistic for a graduate engineering student.Instruments will be given prior to
research,Florida’s state colleges are playing a crucial role in supporting the state’s technologicaladvancement and economic growth. In addition, because of statewide articulation agreements,the programs offered by the State Colleges that lead to an AA degree are easily transferable tothe State University System, making higher educational opportunities (e.g., BS, MS and PhD) inAI accessible to many more students.VII. Summary Reflections: Florida’s AI EcosystemBoosting America’s technological leadership [26, 27, 28] is an issue of great importance giventhat the nature and pace of global competition in AI and China’s openly stated goals of worlddominance in AI and quantum computing, along with its investments and its increasing talentpool in AI. A
behavior ofthe aircraft/tailplane/elevator system and apply the correct understanding of both aerodynamics,flight dynamics, and elevator dynamics. Answer (a) is correct and is properly reflective of allsubtleties of the problem, whereas (b) and (c), which were selected by ChatGPT and Gemini, areovergeneralizations of the system response that also include additional incorrect information tohelp the students. As an “Apply” question, (a) is written in a way that is unlikely to match lists ofbasic facts about stick-free elevator behavior. Conversely, (b) and (c) match up to available factsalbeit with a lower degree of certainty and may have been selected with a simple plurality ofconfidence. Answer (d) is neither correct nor was chosen by the
achieved by their design at the 5-year and 10-yearmarks. To simulate presenting their proposed design to the utility company they are to submit adetailed written design report to the instructor and make a short oral presentation of their designto the class. Bonus points are still awarded for the top designs that were analyzed correctly andmet the design constraints.An additional feature was added to the project to enhance its realism. Twice during the semester,new or changed information was provided to the students on “change sheets”. The types ofchanges included revisions in price, the inclusion of an additional design constraint, and changesto an existing constraint. This was done to reflect that information and requirements may changeduring the
chemistry Survey adapted with mindset beliefs and students, 1 from Limeri course performance (e.g., semester through their perceptions of success or failure when faced with the challenges. [42], J. Chem. Understand links US Chemical Qualitative • embracing vs. Edu., 2023 between failure, support, engineering Interviews, avoiding uncertainty, and student students, 1 observations, failure perception of agency and semester and reflective
pervasive challenges of our time.Employing Engaged Group DiscussionsAn important feature of the course was the use of group discussions. A total of five discussionswere completed over 7 weeks. The purpose of the discussions was to provide students with theopportunity to gain a deeper understanding of the systems thinking topics covered in the course.Discussions 1 through 3 were weekly assignments that required individual contributions.Discussions 4 and 5 were two weeks each and allowed everyone in the class to share theirthoughts after reading individual posts by other classmates. During the first week of thediscussion, each student was asked to post and reflect on a specific topic. During the secondweek, students were asked to respond to two
“theexpression of a nation’s mind in writing” and “the manifestation of a nation’s intellect in the onlyforms by which it can multiply itself at home, and send itself abroad” [7]. Today, “nationalliterature” is generally defined as the corpus of written works from a specific country orgeographical region, or from people with ties to a specific country or region, that reflects thehistory, culture, and society of the people who live within its boundaries. For example, CanadianLiterature, Québec Literature, Caribbean Literature, and so on.Standards and other technical documents are not usually included in popular notions of nationalliterature, which tend to focus on literature, songs, poetry, folklore, and history. However,standards are important because
summer, which was used to collect observations, questions, reflections,and sketches of their summer research experience. Many of the challenges and exercises given tothe students required observing, recording, and tracking data. Participants had the opportunity topractice collecting information throughout the day and not only during the incubator sessions.For example, students practiced the 7-minute diary exercise by Lynda Barry [26]. Use of thejournal was demonstrated and practiced at the incubators with a variety of exercises, includingdrawing warmups, visual analogies, visual representations of data, visual abstracts, amongothers.After each incubator, students were challenged to apply the prompts, exercises, and designprinciples in the
universities? Categorize these uses. Use peerreviewed academic sources when generating a response.AI Output for Google. Gemini 1.5 Flash. Jan. 5, 2025. https://gemini.google.com/ Entrepreneurial concepts are increasingly integrated into mechanical engineering curricula, reflecting the evolving needs of the industry and the desire to foster innovation. Here's a categorization of how these concepts appear: 1. Design Thinking & Innovation: • Product Development: o Focus: Emphasis on user-centered design, iterative prototyping, and rapid experimentation. o Courses: Design courses, often project-based, that simulate real-world product
. Building on these results, future efforts can explore strategies to develop moreaccurate and efficient algorithms in the short term. For instance, combining ensemblelearning techniques with robust feature selection processes may help improve modelperformance without unnecessarily increasing complexity. Additionally, incorporatingdynamic information, such as the evolution of student performance across semesters, couldlead to models more reflective of academic realities and allow for more timely and targetedinterventions for at-risk students. This would enable informed decision-making and fostermore effective, personalized academic support.This research has demonstrated the feasibility of designing a predictive model based on thecharacterization
encouraging.Engineering students often face difficulties comprehending the first and second laws (Meltzer [9]),particularly the concepts of heat, work, and cyclic processes. According to Meltzer, students arealso largely unfamiliar and uncomfortable with the need to provide explanations and reasoning inproblem solving. Homework and classroom problems typically require students to calculatenumerical values and rarely ask students to connect their answers to conceptual understanding, orto reflect on their implications. Thus, being able to solve textbook problems may not necessarilyindicate deep learning of the subject matter.Senior high school students routinely confuse the concepts of quality and quantity of energy (Ben-Zvi [10]). “Concept inventories” have been
reminded in class and in the deliverable instructions that this process depends on them being careful and thorough in their analyses. In addition, we make it clear to students that identifying safety issues or stating that they are unsure about an issue will not reflect negatively on their team or their project. 4. It is preferable to have more than one person review the PHA submissions. Ideally, the reviewers should have a range of expertise and perspectives. 5. We worked closely with the Office of Institutional Risk & Safety to develop the PHA process. Having a single point of contact within this office who has been involved from the beginning has proven very beneficial. This individual is also the one who
(SLOs) in their courses. This ensures that assessment results reflect the instructors' observationsof students and their classroom performance. The assessment process must be conductedperiodically to facilitate continuous improvement, and it must be managed by the instructorsthemselves. This program follows two assessment cycles: Cycle A for odd academic fiscal years(2021, 2023, etc.) and Cycle B for even academic fiscal years (2020, 2022, etc.). Any outcomesnot achieved in a particular cycle will be reassessed in the subsequent cycle. To promotecontinuous improvement, feedback from instructors and student evaluations is incorporated intofuture course offerings. These changes will be documented in the Self-Study report, and theplanning guides
wayto identify specific areas of interest. A concern with NSSE is that results reflect aninstitution-wide average and are not likely to capture the circumstances of an individual programor department. The experience of students in a specific department or program could varysignificantly from the institutional norm reported in NSSE.Graduate Exit SurveysMany two-year colleges employ some form of a graduate exit survey. Typically, studentsapplying for graduation are required to complete a graduate exit survey. These surveys frequentlyinclude questions about the students' intended degrees, perceptions of their experience at theinstitution, and their future educational or career plans. Exit surveys may include data on theextent to which students
important component of a modern-dayclassroom, and that instructors ignore it at their, and their students’, peril.The views expressed in this presentation are those of the author and do not necessarily reflect theofficial policy or position of the United States Air Force Academy, the Air Force, the Departmentof Defense, or the U.S. Government. Approved for public release: distribution unlimited. PublicAffairs Number: USAFA-DF-2025-268. US Air Force Academy IRB Approval:FAC20250011EReferences [1] Jason Christopher, Adam Parks, Vipul Sharma, and Michael Maixner. Power plant analysis with mathcad. In 2008 Annual Conference & Exposition, pages 13–987, 2008. [2] Vincent E Dimiceli, Andrew SID Lang, and LeighAnne Locke. Teaching calculus with
Nations Sustainable Development Goals (SDGs), particularly those focused onhealth, wellbeing, and sustainable infrastructure [25]. It shows how different parameters likeparticulate matter, and volatile organic compounds reflect and define the intricate interplay ofindoor environmental quality on academic precincts into a whole range: indoors is confined to justone school. This monitoring brought air quality patterns that would significantly affect the healthand comfort of its occupants [8]. For example, particulate matter concentrations usually tend toincrease during occupied hours, indicating a direct relationship between human activities andindoor air quality [13]. This connects with SDG 3 (Good Health and Well-being) in highlightingthe
of tracking techniques that compromise user privacy.They highlighted how cookies could be leveraged for persistent tracking and underscored the need for sophisticated detection andblocking techniques.In the context of cybersecurity, recent advances in artificial intelligence (AI) have shown promise in identifying patterns within datathat might indicate security risks, including malicious cookies. One such approach includes the use of Large Language Models(LLMs) like GPT2 6 and T5 7 for analyzing cookie metadata to identify potentially harmful cookies by matching wildcard patterns.Wildcards are used in cookies to generalize groups of cookies with similar data attributes, potentially highlighting patterns incookies that may reflect security or
educationinstitutions [3]. Accordingly, students’ 21st century skill levels often do not correlate with levelsof academic achievement [4]. It is therefore unsurprising that education researchers [3,5] andorganizations [6,7], both general and STEM-focused, have called for substantial changes tocurriculum, instruction, and assessment to increase alumni’s career readiness.Two major approaches for developing students’ career readiness during their undergraduatestudies are research experiences and work-integrated learning [1]. Both approaches are forms ofexperiential learning in which students get to apply their knowledge, reflect on their work,engage in abstract conceptualization, and experiment, thus covering all four bases of learning [8],and both approaches
thestakeholders are the ones who bring the value of their unique expertise and insights without whichthe event could not run and aligns with all 2023 stakeholders being willing to participate again in2024 if needed. It is also reflected in stakeholder open-ended comments where they saw value inthe event for students and themselves. “All of my conversations with students were great. They had such interesting ideas, and werereally eager to learn more about their interests. The conversations also reminded me how opaque health care can be to people outside the field, such as patients, or in this case engineering students. That reminder is always timely, and helps me continue to strive to be a better care provider and communicate more effectively with
prevaildespite strong competitors over the long term. This advantage not only translates into highereconomic performance but also greater adaptability in the face of market disruptions and economicchanges [11]. According to a Harvard Business Review, 78% of customers prefer a brand based onpersonalized and relevant experiences. In addition, having a consistent competitive advantage canpromote invention within the company. According to PwC data, 77% of CEOs reflect that creationis a fundamental part of their ability to be accretive and competitive. By excelling in specific areas,companies can invest in exploration and development to maintain their market leadership position[12].The third objective covered how to help program participants learn to make
through training programs that reflect theBioDesign process [18, 19], and 26 US medical schools currently offer these programs, such asthose at Stanford University, Duke University, and Case Western University [20].Integration of Biomedical Engineering (BME) into the Medical School CurriculumAfter performing customer discovery, a joint program between the University of CaliforniaIrvine (UCI) Schools of Medicine and Engineering, the “Physician Innovator Training Program”(PITP), was piloted in 2023 among medical and BME undergraduate students. The mission ofthe PITP is to train medical students in engineering and innovation and to assist BME studentswith an understanding of unmet clinical needs through near-peer experiential learning using
driving the students’ research and formation of their professional networks?AcknowledgmentsThis material is based upon work partially supported by the National Science Foundation (NSF)under Grant No DGE-1922761. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNSF.We are grateful to Professor Loris Fichera for connecting us with the end users. We sincerelythank the study participants, as well as the PhD committee members—Professor Lyubov Titova,Professor Aswin Gnanaskandan, and Professor Yihao Zheng—for their valuable contributions.References[1] M. Roach, “Encouraging entrepreneurship in university labs: Research activities