as a deterrent. To enhance participation, efforts should be madeto make office hours more accessible and less intimidating and clearly communicate that help isavailable for all students [1].Another study [2] investigated student barriers to attending office hours in STEM classes. Themost common reason cited was students not having questions or feeling a full understanding ofthe course content, possibly reflecting overestimation of their own abilities. Many notedstructural barriers, such as conflicting schedules with other classes or activities. This emphasizesthe importance of flexible scheduling to accommodate diverse student timetables. Anotherprominent barrier was the perception of intimidation, fear, or a social stigma associated
Twitter hashtag unveiled the harshrealities of anti-Black racism faced by faculty, staff, andstudents in historically white colleges and universities. 2In response to these devastating events, on June 10, 2020,STEM faculty across the United States came together for#ShutDownSTEM, a one-day academic strike dedicated tounderstanding and confronting anti-Black racism in highereducation and STEM fields. #ShutDownSTEM provided acollective moment for STEM academics to reflect, havedifficult conversations, and commit to taking actionagainst systemic racism. However, we quickly realizedthat a single day was insufficient to prepare for the long-term, ongoing work required to truly dismantle
energy projects should be developed with the involvement of local communities and stakeholders.It is common to observe that the sentences generated by ChatPGT are often longer than those writtenby students. The overall flow of the sentences and paragraph are more coherent than normal, and keywords are used throughout the writing. Overall the AI-assisted writing is considered to be excellent.A negative observation is that writing is non-natural for the student. An example of non-natural wordchoice is the underlined “disproportionately borne” which is a phrase not expected in the student’sverbal communication. A student’s writing style and word choices are reflective of their verballexicon. If they do not use words and phrases
be less likely to rely too heavily on generative AI to completetheir assignments if instructors teach them how to use it effectively and appropriately instead ofbroadly prohibiting its use. This paper presents the results of a survey on students’ perceptions ofand experience with Generative AI/ChatGPT. Identical surveys were administered to students intwo different sections of the same junior-level writing course for engineering majors. In onesection, students were given prior instruction in the focused, ethical use of ChatGPT with aspecial emphasis on Generative AI’s professional impact. These students were then asked topractice prompt engineering using the CLEAR framework described by Lo [1]: Concise, Logical,Explicit, Adaptive, Reflective
in size. Exploring these vast, multi–dimensional processing spaces by trial–and–errorexperimentation – even for well–studied materials – is not feasible on reasonable time scales.Thus, considerable interest exists in the development of machine learning–based approaches forthe rapid and accurate identification of optimal materials designs and synthesis conditions. In thiswork, data describing over 125 plasma–assisted molecular beam epitaxy (PAMBE) synthesisexperiments of ZnO thin film crystals have been organized into a single data set. For each growthrecord, the complete set of PAMBE operating parameters for ZnO synthesis are associated with ameasure of crystal surface morphology as determined by in-situ reflection high–energy
priorities to be considered in the project such as: coordinated Proceedings of the 2024 ASEE North Central Section Conference Copyright © 2024, American Society for Engineering Education 3micro- and macro mobility; coordinated inter-city, regional, and local transit options; diversity,equity and inclusion in the project solution; and sustainability with focus on the transit centerenergy usage and the site’s stormwater management.The project utilized several teaching methods. The students were introduced to the EOPFramework through lectures, in group class activities, and reflection
ability of engineering students. This paper is part of a larger, NSF-funded research study that examines the quality of students’ written and oral communicationskills and seeks to understand their relationship to the students’ spatial abilities.First-year engineering students in their second semester at a large R1 Midwestern universitywere examined. Students were tasked with creating a written report responding to a set ofquestions that asked about their team-based engineering design project completed in their firstsemester. As this occurred months prior, this non-graded report became a reflection on theirexperience and innate abilities. While low stakes, it mimicked a more authentic writingexperience students encounter in industry. Students
where environmental factorsoften lead. In these senior design projects, the Economic dimension dominates. A substantialnumber of projects have ‘Good’ incorporating economic sustainability, which could reflect acurriculum or project objectives that heavily emphasize cost-effectiveness, financial viability,and possibly the market impacts of the designs. While not as prominent as the economic,environmental sustainability still shows a significant presence, especially in the ‘Good’ and‘Fair’ categories. This indicates that environmental considerations are taken seriously, aligningwith global concerns about ecological impact, though they are seemingly secondary to economicfactors. Social sustainability is notably less represented, especially in
safe navigation to the moon's surface withoutrelying on such landmarks. Today, IMUs continue to play a vital role in modern motion trackingprojects. The economical sensors are lightweight, consume low power, and can be integrated intoa range of devices. However, Garcia-Hernández et al [3] demonstrated that they can producemeasurements with considerable noise.IMU sensors are often used in these devices to assess sensor orientation and displacement, whichare not directly measured by the sensor. The process to determine orientation and position requiresadditional, non-trivial, processing steps. The triaxial accelerometer data reflects both the © American Society for Engineering Education, 2023
al. [3]. Transformational resistance is defined as an action that reflects a critique of thesocial oppression at hand, rather than conformist resistance that does not challenge the structure athand. The structure of a panel puts graduate students in the seat of authority and allows them todirectly relay their experiences to the attendees. This challenges the structure by empoweringoverlapping disempowered groups, graduate students, and LGBTQ people. Members of the panelincluded both cis and trans people, individuals who are nonbinary, individuals who are gay orlesbian, and students on the neurodivergent and asexual spectrum. When creating the panel, it wasessential to ensure that a broad swath of identities were represented. There will
terms in consultation with the engineeringlibrarian, and the finalized search string is shown in Figure 3. We are currently further refining thesearch string by taking a more systematic approach to identify terms related to the sense ofbelonging, based on the previous suggestions by Phillips et al.’s (2017) reflection on a systematicliterature review. (belonging OR belongingness OR connectedness OR relatedness OR “sense of inclusion” OR “sense of school membership” OR “sense of social fit”) AND (“engineer* educat*” OR “STEM educat*” OR “biology educat*” OR “chemistry educat*” OR “math educat*” OR “physics educat*” OR “geoscience educat*” OR “computer science educat*” OR “engineering student*” OR “STEM student*” OR “biology student*” OR
taken [2]. The research ofEdmondson noticed that certain teams within the same hospital produced very differentoutcomes for the patients they oversaw. As she observed more closely why certain teams couldbecome a learning organization, she noticed that the teams did seven things positively. From theseven items she created a survey that a team could use to guide a reflection on where they are intheir growth towards becoming a learning organization.The seven survey items that Edmonson created are included in the appendix of this paper, butcan be summarized into the following categories of scenarios commonly encountered in teams:making mistakes, asking for help, taking small risks, discussing tough issues, respecting thecontribution of others
foundational value withinthe engineering profession. According to Gilbert [3], compassion is a sensitivity to suffering in oneselfand others and a steadfast commitment to alleviate and prevent that suffering. Drawing from the ethicalframework proposed by Campbell [5], which defines care as "active compassion, empathy, and concernfor the well-being of other living (and in some cases non-living) things" [p. 112], this paper explorescompassion as an essential component of ethical engineering practice.While engineering ethics has traditionally emphasized the importance of reflecting on the broaderconsequences of technological advancements, compassion extends beyond cognitive reflection. Itembodies a motivational force beyond empathy and sympathy [3
century engineering workforce. Angie received an NSF CAREER award in 2021 for her work with student veterans and service members in engineering.Mr. Talha Naqash, Utah State University Mr.Talha Naqash is currently pursuing his doctoral studies in Engineering Education at Utah State University. With a profound educational background spanning multiple disciplines, he holds an MS in Telecommunication and networking. His extensive research contributions are reflected in numerous publications and presentations at prestigious IEEE & ASEE conferences, Wiley’s, and Springer Journals. His research primarily revolves around understanding Cognitive Engagement Analysis, Assessing Methods in Engineering Education, and
, we acknowledge that as a team primarilycomprising white women and nonbinary people, we come from a place of privilege in society.We continuously work to critically reflect on our intersectional identities and leverage ourprivilege to work towards greater justice, as well as create an inclusive community. In telling thestory of our design, we share ways we have embodied this value.In this design case, we first describe the context in which we designed the GATHER CoT,including some early ideas that shaped our focal narrative, which illustrates key decisions wemade in the process of designing an arts-based kickoff event that we hoped would begin formingtrust and community, the bedrock of GATHER. While we made many design decisions, in thiscase
students are not in the field and possessing expertise or specific working knowledge? 14 -Does the design reflect creativity and imagination on the student’s or team’s part?Overall Is the design well written? 5quality of Does the report effectively present the design solution? 3the designpackage Does the report follow the required format and reference citation requirement? 3Total points 115The course structure was not changed significantly when the ACRP University DesignCompetition was first
data training set that was used, thisis reflected in the results or writing created by it. “ChatGPT is known to perpetuate stereotypessuch as nurses being female and doctors being male…” [2], many of these biases are included inhuman writing which is then reflected by the program however the identifiable source of thesebiases are lost when in this form making it harder to identify. While many of the other problemscan be solved through increasing the data set of the AI model, this problem will have to becarefully considered by the AI companies if it can be solved at all.False Information‘Hallucination’ or falsely presenting information can be an issue. While the software excels at thegeneration of documents it is prone to falsely presenting
. DiscussionThis research aims to examine students’ in situ demonstration of the cognitive and behavioralskills associated with algorithmic thinking in an introductory computing course in engineering.Our findings indicate that while students are frequently able to produce working code that solvesa wide array of computing problems, their submissions do not always reflect the cognitive skills,such as algorithmic thinking, that are central learning goals in introductory CS education. Thesefindings lead us to question the utility and appropriateness of autograders for assessing andevaluating student learning, particularly as it relates to complex cognitive skills in CS education.Existing research suggests instructor feedback supports students’ learning beyond
to reflect on accessibility within this setting. Each timeco-researchers mentioned negative experiences related to their disability(s) or accessibility, theywere asked to consider what supports or changes could have improved their experience.Data Analysis and Trustworthiness Transcripts were de-identified before beginning any analysis to maintain co-researcherconfidentiality. After de-identification, transcripts were uploaded to Dedoose (2021) to code andanalyze the interview data. Data analysis was conducted in two rounds using thematic analysis(Braun & Clarke, 2006) through a critical lens. Salient themes were identified using aconstant-comparative, open coding process (Saldaña, 2016). Open coding was used in the firstround to
-on experiences. The paper details the methodology, expected outcomes, connectionto ABET student learning outcomes, and assessment strategies. This WIP reflects a commitmentto advancing engineering education in response to the evolving demands of the profession.IntroductionExperimental curriculum in engineering has witnessed a decreasing involvement. Laboratorycourses are simply used to support and demonstrate theoretical aspects of core engineering classes[1]. Traditionally laboratory experiments involve a step-by-step procedure with a known outcome.However, this method has proven to be effective in demonstrating a concept, it limits the student’sengagement in learning and doesn’t enhance their problem-solving skills or creativity
students that designingwithcommunitiesTis the only way to design. In other words, we did not present this approach as an "alternative" they might choose if they have time. Additional goals include the following four: 1. Equip students with the necessary skills to engage respectfully and successfully with community members 2. Reflect on and examine power, identity, and knowledge in the engineering design process. 3. Learn basic principles of nuclear reactor design and related concepts, including nuclear fission and fusion. 4. Practice designing with actual community members. e built this course on a wide range of literature, drawing from
improve the sense of belonging and mitigate tokenism,” Clin. Imaging, p. 109987, 2023.[7] I. Anakok, J. Hess, S. Panuganti, and A. Katz, “WIP: Exploring Faculty Members’ Conceptualizations of Diversity, Equity, and Inclusion in Engineering Education,” in 2023 IEEE Frontiers in Education Conference (FIE), IEEE, 2023, pp. 1–5.[8] M. S. Tooley and E. E. Umphress, “Work in progress - the ethics of diversity: Addressing diversity issues in undergraduate engineering ethics education,” in 2009 39th IEEE Frontiers in Education Conference, Oct. 2009, pp. 1–3. doi: 10.1109/FIE.2009.5350838.[9] A. R. Bielefeldt, M. Polmear, C. Swan, D. Knight, and N. E. Canney, “Variations in Reflections as a Method for Teaching and Assessment of
end of the time for that topic to be discussed. For example, Dr. Peters and Dr.Johnson on Team Y close the current discussion (a venue) by acknowledging that time is up andproposing a plan to revisit it next meeting: Dr. Johnson says, “I know we only have 7 more minutes. Should we kind of reflect more on these, make a decision next week, probably?” Dr. Peters adds, “exactly what I was going to say, let's make it we'll make it as we will make a decision next week, and then in the seven minutes remaining, I will slide over the Teams [Microsoft software].”Uptaking Critiques and IdeasUptake are the actions, responses, and questions to critiques/concerns, comments, questions, andideas that are brought up by team
0.29 I feel a sense of BELONGING to the department 5.44 6.73 0.08* * statistically significant at p≤ 0.1 level ** statistically significant at the p≤ 0.05 levelThese findings indicate that the social engagement events impacted student sense of belonging inthe makerspace and engineering department. Student data revealed that students felt like amember and part of the engineering makerspace after participation in these events and an explicitsense of belonging in the department.Table 2: Student Demographics and Belonging Change summarizes the major and demographicinformation of the students who completed both pre and post surveys. Authors calculated a“belonging change” score which reflects the difference
to do, but keeps the work hidden until the student has the chance totry it for themselves. Further, in Fig. 2b, the first “Show me” button is expanded allowing thestudent to check their attempt. Then in Fig. 2c, there is some reflection on the prior steps, anexplanation about how they fit into the current step, and more hints about the how to moveforward. This is also an important feature of the walkthrough format, at each step students arecarefully guided through the problem without simply giving the answer away immediately.The last stage of the interactive walkthrough format is shown in Fig. 3, with the Wrap-up,connection with other similar problems, and various references displayed together. Thesesections provide the student the resources
IMPACTSmentoring program. Reflexivity is integral in qualitative research because it forces theconsideration and exposure of researcher bias through analytical reflection and dialogue (Watt,2007). The team agreed that expanding the mentoring model was valuable, although theyexpressed concern about the effect on peer relationships among the mentees when white womenwere included. Per the guidance of Lincoln and Guba (1985), the positionality of the researchteam must be clarified, as it directly influences the administration of the study, as well as theprincipal findings and interpretations. The team includes a demographically diverse group ofmen and women who hold professor, administrator, and graduate student roles in various highereducation institutions
is underway, with plans to expand to the College of Sciences.Outcomes will be measured using interviews, surveys, reflective writings, and peer teachingobservations. Educational Research This poster will highlight an IRB-approved qualitative study that is being conducted aspart of the grant project. The research is guided by the HSI servingness framework [7]. Theoverall purpose of the research is to understand the ways in which the university is serving itsSTEM students, using a mirror approach [13] to study and self-reflect on the institution, herebyfocusing on the organization as the main unit of analysis. Findings from this research willdirectly inform plans and actions to revise policies and
was mentored by experienced researchers at a mid-sized public universitylocated in the western United States. There were 24 students (16 females, and 8 males) from20 institutions across 15 different states, who participated in the program working on 13research projects.One of the questions found within the entry and exit surveys asked each participant to describetheir perception of EED research. Two researchers were involved in the data analysis to findthemes that identify the participants’ understanding of engineering education research. About88% of the participants claimed that their views on EED research have changed afterparticipating in the program. Five themes were identified reflecting perceptions about EEDresearch before and after REU
in an educational context. To assess the student's performancein the workshop, a teamwork assessment questionnaire is used to help students reflect on learningand evaluate teamwork behaviours. Subsequently, semi-structured interviews and focus groupstudies are conducted after the workshop to investigate students’ perceptions of teamwork in depth.Keywords: International Students; Master’s Students; Team Performance; Engineering Education.Teamwork in Engineering Education:In the context of global higher education reform, engineering education has emerged as a strategicpriority for universities, underscoring the imperative for institutions to bolster their capacities intalent acquisition and development, scientific research and education, as
- throughmultimedia simulation, role-playing games, case-based learning, and review of other, fictionalizedcases - can give them opportunities to reflect on the need to identify complex situations in futuresettings, as well as a safe environment in which to explore, make mistakes, and discuss theramifications of various decisions in authentic contexts. Ultimately the goal is to better prepareyoung engineers to tackle current and future challenges that have tended to be underemphasizedin traditional engineering curricula.The overall research question for this project is “In what ways can experiential, game-basedapproaches to engineering ethics improve students' ethical reasoning skills?” The authors havedeveloped a suite of game-based ethical interventions