always bechallenges representing all identities; in this panel, there was a lack of students who were not white.Future panels would benefit from including additional, different intersectional identities.The panel referenced in this paper was out of a similar panel planned and moderated by the firstauthor the ASEE Zone 1 conference in 2023. Following the success of it, a panel was run again bystudents with support from a teaching and learning center. Engineering faculty, students, staff, andadministrators were invited to attend the panel. Demographic data is limited, but there wereapproximately 50 attendees in the conference room resulting in attendees standing and bringingchairs from other rooms.The questions asked to the panelists are as
disciplinesas to what uses of LLMs were ethical and which were not. It should be noted that there is a certain‘formative’ nature to this study in which students were forced to consider the ethical nature of theuse of technology in general and of LLMs specifically. We believe that the survey itself may havehelped form student views of the use of technology in their class assignments.In the future, we plan to involve more students in the study. With a larger sample size, we will bebetter able to compare student perceptions by academic discipline. We also plan to submit aresearch protocol for a separate faculty survey, which will allow us to compare facultyperceptions and concerns with those of students. We will continue to hold discussions amongfaculty
many different people are classifying thesetraining examples, there is bound to be some level of bias when it comes to which categoriespeople feel a particular sentence belongs to. A stricter rubric for classification should bedeveloped for the future. Although the hyperparameters is good, there is always room forimprovement.Potential benefits and risksThere are many benefits this system could offer. The instructor could monitor the entire class viathe pie chart shown in Figure 4. The virtual assistant offers direct support to the instructor to lookinto the performance of specific project groups. On the other hand, the student could use thevirtual assistant to plan out project ideas, time management, meeting schedule and personalresearch
received valuable feedback on applicationmaterials. She plans to pursue a postdoc before seeking an academic position and believes theseminar adequately prepared her in many aspects, although the importance of buildingprofessional networks and personal relationships could have been emphasized further.Participant 3 (P3): P3, a fourth-year Ph.D. student in Civil and Environmental Engineering,learned about the seminar through an email from his department. He enrolled because he desiredsystematic training in academic job applications, which was lacking in available onlineresources. P3 appreciated the seminar's systematic training and the fact that it counted as onecredit. He emphasized the importance of community building and suggested making the
development. ©American Society for Engineering Education, 2024Awareness of Feature Importance in Artificial Intelligence AlgorithmsAbstract: Industrial engineering graduates need to be familiar with artificial intelligence (AI)due to its transformative impact on modern manufacturing and production processes. AItechnologies, such as machine learning and predictive analytics, optimize resource allocation,enhance efficiency, and streamline operations. Proficiency in AI equips graduates to innovate,automate tasks, and address complex industrial challenges effectively. Predictive models aretypically taught in one or more Industrial Engineering courses, such as Operations Planning andControl at Colorado State University Pueblo
know how to use the equipment.The new lab was to assign students to work as a group to design experiments to measure thespecific heat of five different widely used construction materials: metal, glass, wood, plastics, andconcrete (Fig. 2) with the lab equipment they have used in previous labs with the theory ofconservation of energy. The new lab was separated into three steps in a three-week period.During the first week, students were asked to plan the experiment, which included the purpose ofthe lab, the list of lab equipment, list of lab materials, detailed experiment procedures, the data tobe collected, and the goals to reach, in a group of three or four students.During the second week, the group worked on their designed experiments
collaborative and inclusive environment, establish goals, plan tasks and meetobjectives (Outcome 5); Students will have the ability to develop and conduct appropriateexperimentation, analyze and interpret data, and use engineering judgment to draw conclusions(Outcome 6)” [4]. This course also supports an institution requirement of each program integrating“embedded writing experiences” to support the linkage between foundational skills of a bachelorof science degree and each specific major. The requirements for this embedded writing experienceinclude, “(1) Writing assignments should be integrated throughout the semester and used toenhance the learning of course content; (2) Written assignments should constitute a significantportion of the course grade
supplemental material to describe any new IoT components an exerciseintroduces to students as they progress through the series of exercises. It will also provideinformation on any necessary connections students should make along with configurationinformation for components and details on how they can be accessed through software.The planned initial deployment environment for the advanced IoT toolkits are the capstonesenior design projects conducted within engineering and computer science related departments atthe two universities where this project is being conducted. Student projects in these coursesfrequently incorporate some degree of IoT technology. Teams working on such projects will beoffered the use of an advanced IoT learning toolkit for
enhancing their leadership skills in DEI. The post-coursesurvey asked students whether their expectations were met and their plans to use what theylearned in the future, such as applying leadership skills.We performed quantitative and qualitative analysis on the data collected. For the Likert-stylequestions, we conducted descriptive statistics and t-tests using Microsoft Excel to evaluate trendsand their significance between the pre- and post-course surveys. For open-ended questions, wethemed the data to organize, categorize, and gain a deeper understanding of students’ experienceswith the course in relation to the learning outcomes [12]. Specifically, we grouped responses intothemes on the pre- and post-course survey responses separately using
with ideas and writing essays.”“It is very limited when it is asked to solve advanced math problems, like differential equationsand linear algebra. However, it is very useful to solve coding errors.”“Sometimes it gives the wrong answer and that causes confusion.”“I usually use it proofread my papers and summarize articles.”“Sometimes I use it to reword sentences or choose different vocabulary when I write a report.” Figure 4: Students’ Primary Use of ChatGPT Across Various Purposes.It is important to highlight that this is an ongoing project, and the authors plan to carry outadditional surveys in the future to gain further insight into students’ preferences. Ultimately, todemonstrate ChatGPT's effectiveness in crafting well-written
topics being related in the context of this corpus. The authors found some interestingrelationships that can inform future projects, but they also plan to re-investigate this corpus witha more robust analytical tool to search for additional insights.Future research may make use of more robust analytical tools to delve further into this corpusand examine trends over time. That work will inform research to better understand howbelonging, STEM, and libraries are linked. The authors also plan to explore a variety ofdisciplines within the STEM fields to better understand the inclusion needs of students acrosscurriculum.Citations[1] M. Gavin, Literary Mathematics: Quantitative Theory for Textual Studies, 1st ed. StanfordUniversity Press, 2022. [E-book
Paper ID #42382Board 123: Work in Progress: A Case Study of a Community of PracticeModel Fostering Faculty Scholarship of Teaching and Learning of the EntrepreneurialMindset ˜ Arizona State UniversityDr. Kristen Pena, In her role as Program Manager, Learning Initiatives for the Fulton Schools of Engineering (FSE) Learning & Teaching Hub (LTH), Kristen Pe˜na plans, develops, and supports a variety of faculty professional learning initiatives, including workshops, quick-reference guides, and other learning opportunities for engineering instructional staff and faculty. Kristen has worked in higher education since
, identifying effective professional development approaches, and uncovering pedagogical techniques to enhance students’ engineering curiosity, engagement, and learning. ˜ Arizona State UniversityDr. Kristen Pena, In her role as Program Manager, Learning Initiatives for the Fulton Schools of Engineering (FSE) Learning and Teaching Hub (LTH), Kristen Pe˜na plans, develops, and supports a variety of faculty professional learning initiatives, including workshops, quick-reference guides, and other learning opportunities for engineering instructional staff and faculty. Kristen has worked in higher education since 2014 in various roles supporting student development, faculty-directed programs, and entrepreneurial
, published inEnglish between 2011 and 2023, and relevant to the research question. A content analysismethod was applied to examine the articles (n = 27) that satisfied the inclusion criteria. PSTs'perceptions of integrated STEM education were influenced, according to preliminaryfindings, by the following variables: (a) prior knowledge and experiences with STEMeducation; (b) beliefs about STEM education; (c) perceived benefits and challenges ofintegrated STEM education; (d) available support and resources; and (e) professionaldevelopment opportunities. The paper also addresses the theoretical and educationalimplications of the results for the planning and implementation of integrated STEMprofessional development programs for policymakers and
Total 100% 22Respondents that answered 3 through 5 were asked a follow-up question: If you answeredthe last question from 3 to 5, please offer some ideas about how you plan on integratingengineering practice into your science instruction.Answers included: ● The more I can apply what I am teaching in the classroom to real life problems in the community, the greater the understanding my students will have of the topic. The greater the understanding the more effective community members and leaders in the community they become. ● I do a lot of STEAM lessons with both my enrichment groups and whole classes in the school makerspace. This course gave me more ideas on ways to incorporate different types
action.Several studies exhibit the important interaction between cognitive and metacognitiveactions and approaches, emphasizing the critical role that both play in successful problem-solving (e.g., [8]). Because the problem-solving approaches uncover beneficial outcomesneed the harmonic coordination of cognitive acts and metacognitive processes, which is notonly helpful but also essential [9]. Cognitive actions drive progress for problem-solving butalso lay the foundation for the metacognitive processes which create a web of metacognitiveactivities that closely complement cognitive actions, participants engage in thoughtfulobservation, planning, evaluation, and monitoring (M/E) [10]. This complex interactionbetween MKT and M/E is essential to addressing
exhibiting signs of academic or socialdistress prompts advisors to direct these individuals toward suitable support resources.INNOV Monthly Meetings: Integral to the INNOV program are monthly cohort-building meetings,held three times each semester. These sessions are designed to cover a spectrum of topics,including experience mapping, diversity and inclusion training, management of academic andsocial expectations, and planning for academic objectives. These gatherings also serve as aplatform for INNOV scholars to forge connections with peers, fostering a sense of community andfacilitating the exchange of advice and experiences.Faculty-Student Interaction: A cornerstone of the INNOV experience is the close collaborationbetween students and STEM
surveys andsummative tests reveal that the implementation of Culturally Responsive Teaching (CRT) strategieswithin the FACS program positively impacts the enthusiasm for and comprehension of cybersecurityamong African American female students. Therefore, we plan to incorporate more CRT strategies such asfamilial engagement. As it stands, parents are only engaged during the recruitment process and the firstday of camp. A few activities during future iterations of the program will include parents. These activitiesmay be completed at camp and/or at home. We also plan to recruit more industry partners to providestudents with real-world problems to solve and an opportunity to form relationships with cybersecurityprofessionals.CULTURALLY RESPONSIVE
had received prior trainingin delivering the program. The materials used in class consisted of a storybook narrating thebackground of a real-world problem that students had to work together in groups to solve usingcommonly available objects. The lesson centered on the hands-on construction of a solutionusing a 5-step framework of “questioning, planning, implementing, concluding, and reporting”adapted for younger children from the engineering design process (Cunningham & Lachapelle,2016).In total, videos on 12 different lesson topics were available for analysis. For each of the 12topics, there were videos from two different classrooms. Each classroom featured a differentteacher. For this work in progress, we selected three lesson topics
rates. • Academic Planning and Degree Auditing: Students can use Navigate to plan their academic paths, track their progress toward degree completion, and explore various major and career options. The platform can integrate with an institution’s degree audit system to provide real-time progress updates. • Reporting and Insights: The platform offers robust reporting capabilities, allowing institutions to track key metrics related to student success and retention. This data can be used to inform policy decisions and improve student support services. • Mobile App: Navigate often includes a mobile app component, making it easier for students to access resources, schedule appointments, and receive
involves systematicallycoding, categorizing, and identifying patterns or themes. Specifically, the researchers willfamiliarize themselves with the data by thoroughly reading the responses. They will thengenerate initial codes by identifying key concepts. Next, the codes will be grouped into potentialthemes, which will subsequently be reviewed in relation to the original data for validity. Theresearchers will clearly define and name each finalized theme. Ultimately, the synthesizedfindings will be reported to address the stated research questionsLessons Learned So Far While the full study is yet to be conducted, the planning process has already providedsome valuable lessons. One key learning has been the importance of involving a diverse
students' perceptions of their experiences with customPCBAs, rather than directly measuring their learning outcomes. We acknowledge this as alimitation. However, we believe that custom PCBAs indirectly enhance student learning. Byeliminating the time-consuming breadboarding process, students can spend more time engagingwith the material and applying what they've learned. This efficient use of class time allows for adeeper exploration of topics and more in-class activities. Additionally, by reducing the need fortroubleshooting common issues associated with breadboarding, students can concentrate more onthe core learning objectives. In future studies, we plan to directly measure the impact of customPCBAs on student learning to provide a more
develop a research topic,performed literature review, gathered pertinent information, defined requirements, bench markedexisting designs, selected off-the-shelf components, planned missions, created models, performedengineering analyses, wrote a paper, and presented her work at a local symposium. In a shortamount of time, she learned new knowledge including the use of engineering software andperformed valuable analyses. She worked on developing a conceptual design of a lunar rover. Theobjective of the rover is to collect rock samples from remote locations and bring them back to thebase station. The rover is equipped with various sensors to collect data on temperature, radiationlevels, soil composition, and moisture. She worked on various aspects
(EcoE) program. To establish this knowledge base,the committee first identified 13 example design projects (applications) on which a recent EcoEgraduate could be expected to work. Example applications included the design of a streamrestoration system and the development of a prairie restoration plan. Next, the specific tasks thatthe graduate would need to carry out to complete each design application, along with theunderlying knowledge or skills needed for each task were outlined. Additionally, the necessarylevel of learning for each knowledge area was qualified, ranging from simple recollection of factsto integration of knowledge across engineering and ecology to develop designs. Each applicationarea was reviewed by the committee and up to two
frameworks, and equity in healthcare, while mock patientcases required students to propose a diagnosis and treatment plan for a patient based on givensymptoms. An example of a case study is shown in Appendix B [24]. Supplementing instructor-led lectures, the course welcomed 4 guest speakers who presented about their respectiveacademic/career work (Appendix Table 3). These guest lectures facilitated student networkingwith professionals and exposure to diverse neuroengineering career paths.Assignments and Final Project: To pass this course, students were expected to attend class,complete required assignments, and deliver a final presentation (see Appendix Table 4 fordetails). For this presentation, the class was divided into 4 groups of 5 students
the problems. With this data wewill also conduct a Discrimination vs. Difficulty analysis to determine question effectiveness [7].Progress Five faculty from across the country have gathered to discuss the creation of this new RBDCI.Each faculty member individually identified topics that should be included in a RBDCI. During bi-weekly meetings the faculty identified a total of 25 topics, which were combined or prioritized to reducethe number to 11 key concepts. The 11 concepts will be used for the question creation phase, where 3-5questions will be created for each concept. Once the questions are created, they will be tested in variousclassrooms. Based on the results from evaluating these questions, we plan to reduce the final number
study is guided primarily by the concepts of Teacher Noticing and Teacher Beliefs. Thesetwo concepts inform our research questions and guide our analysis and findings. First, TeacherNoticing originated from Sherin et al.’s [12] book that conceptualized how a teacher’s noticing-ability in the classroom impacts the dynamic teaching and learning processes. Initiallyconstructed, ‘noticing’ is an ephemeral phenomenon. It happens instantaneously and under thenoise of other, more conscious, mental processes. This construct stems from two psychologicalconcepts: Teachers have selective attention to notice a situation in the classroom, then enactprofessional knowledge-based reasoning. However, beyond just in-the-moment, a teacher’slesson plan
, Construction, and Planning at The University of Texas at San Antonio. He received his Ph.D. in Environmental Design and Planning from the Co ©American Society for Engineering Education, 2024 Diversity trends in STEM Summer Camps over the last two decadesAbstractStudent proficiency in Science, Technology, Engineering, and Mathematics (STEM) subjects is asignificant concern among agencies nationwide. A reported decrease in student proficiency levelsas students progress through school impacts the ability to meet the market demand for qualifiedengineers and specialists. Further, some STEM fields have diversity issues, with lower participationfrom women and underrepresented minorities due to numerous reasons. STEM
´olica de Chile Gabriel Astudillo is Coordinator for Measurement and Evaluation at the Engineering School in Pontificia Universidad Cat´olica de Chile (PUC-Chile). Gabriel received an MA in Social Sciences from Universidad de Chile. ©American Society for Engineering Education, 2024 Encouraging Teamwork after the PandemicType of paper: Work in progress (WIP).AbstractThe Accreditation Board for Engineering and Technology (ABET) proposes that one of thestudent outcomes that engineers must have is "an ability to function effectively on a team whosemembers together provide leadership, create a collaborative and inclusive environment, establishgoals, plan tasks, and meet objectives" [1
Results and Feedback We have quantitative results from the pre- and mid-semester surveys at this time, and oursample was smaller than expected (n = 20 pre-, n = 16 mid-semester). Though we do not yethave post-semester data to run our planned quantitative analyses, we noticed in the descriptives(see Table 1) that our sample started out rating themselves so high on the 4Cs that there is notmuch room for growth. Thus, we need to find a way to capture most/all of the class in order todetect an effect if one exists. Also, these students already receive CATME training to assist themin assigning more realistic ratings to themselves and peers. We would like to adapt this trainingfor our survey next semester and see if the self-reports change