project wasthe biggest issue faced by the students. Not all students' final mini-worlds maintained the sametheme as their proposals. One group of students quickly revised their plans after submitting theirproposals, which they claimed was due to realizing they did not have enough time to completetheir original designs. Another group of students completely revised their theme by midterm,stating that they realized that their previous theme was overlapping with another group. In addition, we noticed that students were extremely enthusiastic about the projects at thebeginning of the semester, but the lack of skills may have led to their frustration. For the firstcouple of weeks, many students were not able to complete the designs they wanted due to
weresubmitted by the instructors on behalf of their students. There were 3 to 4 raters for each poster.None of the faculty teaching the sections shared this rubric with students in advance. Acrosssections, it was clear that students were mentored differently on different elements (e.g., morecomplete economics description or not, however all mentioned safety). The three student teamsrecognized as winners in Fall 2023 were each selected from different sections (and not sectionsof the three authors who were also judged). It was great to see students map sustainability ideasto all projects - not just those with obvious environmental applications. Future changes in therubric are planned and discussions are underway to decide whether or not to share the
; they are responsible for planning, researching, and completing their projects. This canhelp them develop important self-directed learning skills.A spirometer serves as a vital medical tool for measuring lung function, essential in the diagnosisand monitoring of conditions like chronic obstructive pulmonary disease (COPD) and asthma.However, conventional volumetric spirometers face a limitation—they lack a systematic approachto tracking and controlling progress in lung strength. This is particularly crucial as patients withvaried conditions require different levels of exercise and monitoring.In response to this challenge, our focus is on developing a cost-effective and user-friendly digitalspirometer. Paired with a mobile application via
2025 semester over spring break. The students will beimmersed in the bike-friendly city of Amsterdam, and visit several faculty and labs at TU Delft,including one of the only bicycle engineering labs in the world.Conclusion & Next StepsThe next steps for MEAM 1010 are to reconsider the content and implementation of the attitudestowards sustainability assessment and get IRB approval for administration so that results can bepublished in future work. The instructor will also work on better methods to evaluate the impactof including sustainability content in the course, potentially including the same attitudes towardssustainability assessment at the end of the course. For MEAM 2300, the instructor will continueto execute the plan to integrate
plan to give the questionnaire multiple times duringthe Spring semester. We also plan to give the faculty members teaching the course aquestionnaire designed for them. This will allow us to determine if the mindset of facultymembers affects the mindsets of their students as shown in previous research [11-12]. Based onthese results we will decide what, if any, intervention to implement in the course.Disclaimer: The views expressed in this article are those of the authors and do not necessarilyreflect the official policy or position of the United States Air Force Academy, the Air Force, theDepartment of Defense, or the U.S. Government. Approved for public release, USAFA-DF-2024-383: distribution unlimited.References:[1] Dweck, C.S., “Mindset
Education Experiential learning, most simply defined as learning by doing, can occur in multiplecontexts at the university level. For example, many undergraduates have opportunities for hands-on laboratory time, internships, and service-learning programs. Through these experiences,ideally four stages should occur: participating in the experience, reflecting about the experience,conceptualizing (understanding) what they experienced, and applying what they learned in asimilar setting [6]. When bringing experiential learning into the classroom, particularly within acourse focused on engineering design, it can integrate authentic learning experiences intostudents’ plan of study and daily lives [1]. A recent systematic review [7
Lent and colleagues (2005) that assessedparticipants progress at goal-directed activities at work; (3) a 4-item measure of turnoverintentions (Hom et al., 1984) that assessed plans for leaving current job; (4) a 3-item worksatisfaction measure (Hackman & Oldham, 1975) that assessed satisfaction with their currentjob; and (5) a 5-item life satisfaction (Diemer et al., 1985) measure of one’s global judgments oftheir life. Procedures. In Spring 2021, we recruited adults who received a degree in engineeringfrom 2015 and 2019, were employed as an engineer, and who identified as Hispanic, Latina,Latino, Latinx, or Latine or whose origins are from Spanish speaking countries to participate inan online survey. We sent emails to participants
isassociated with the “Driving Onward” function, while intuition contradicts sensing in this role.Similarly, the “Planning Ahead” role aligns with the judging function, while the perceivingfunction opposes it. However, introversion, feeling, and thinking do not exhibit explicitassociations with specific roles, suggesting the complexity of team personality dynamics.Despite these insights, there remains a lack of understanding of the direct influence of teampersonality on effectiveness and success.This study attempts to provide evidence by investigating the relationship between teampersonalities and performance within an interdisciplinary research group at a historically blackcollege and university (HBCU). This group, operational for over four years
Achievement, and Instrumental Readiness [4]. A study on students highlights that motivationand interest in entrepreneurship can significantly contribute to social and economic developmentif supported appropriately. It advocates for problem-based learning and political support forentrepreneurial training programs [10]. Another study found that entrepreneurial education (EE)positively affects EI, particularly among management and engineering students, although itsimpact varies according to the field of study [11].In a developing country context, a study using the Theory of Planned Behavior (TPB) exploredhow attitudes, perceived behavioral control, and subjective norms impact EI among engineeringstudents in Medellin, Colombia. This research underscores
prepare for future work in which we plan to evaluatethe nature of the stress that students experience as they progress through our project-basedprograms. Why is it that after their first semester-long project our students’ experience changessuch that they end up reporting similar stress and depression levels as the students studied byJensen and Cross?Future work will thus examine performance changes as a function of time and population size,investigation of the nature of the stresses students are facing in project-based programs, andtriangulating and supporting quantitative results with qualitative data.Another limitation of this study that could be addressed in future research is non-respondentselection bias. Finally, additional work is needed
theylearn about computer organization. Traditional computer organization typically stops at the levelof power utilization versus frequency and voltage – a very microscopic scale – relative to thislarger scale problem. Traditional computer organization also focuses a lot on the individualprocessor and does not even venture into the GPU versus CPU performance differentiationproblem.While this was not the key piece of the externship and did not result in the initial planned depth,the experience was useful.Consulting Company ExperienceThe bulk of the externship consisted of a two-week experience with a major consulting companyin the Milwaukee area which focuses on software development and resilient deployment ofsoftware systems. Because of the nature
and a disappointment that the project was not directly related to the student's specific career interest. 3. If you were going to participate in another internship, what would you do differently? • Two students essentially said that they would do nothing differently. • One student mentioned wanting to work more "efficiently" to complete more project-related activities. • One student mentioned being better prepared for the financial challenges (i.e., room and board, stipend payment schedule) 4. How has this internship experience affected your academic and/or career plans? • Two students reported academic-related changes, with one saying they felt more prepared for their upcoming courses and one reporting feeling more motivated to
, Figure 2 shows twostudents volunteering to stand up and explain their programming codes to their classmates,indicating the classroom environment's positive comfort. Figure 2 Students volunteered to get up and explain their codes on the board.3.1. Quantitative MethodIn the quantitative phase of this research, data was collected to assess the UTA program's overallimpact on student performance. The data included student demographics and grades, withacademic plans obtained from the registrar's office following the project's Institutional ReviewBoard (IRB) regulations. These student records helped in understanding the background andcharacteristics of the students. The study tracked the enrollment patterns of students, specificallyif they were
[7], the SCCT can be used to select predictorsfrom the High School Longitudinal Study of 2009-2014 in a candidate variable subset [8], andthe EST can be applied to independent variables from the NCES Education Longitudinal Study1988-2000 dataset to study the gender differences and determined the role of the high schoolcontext in STEM majors’ plans [9]. However, when using the theory-driven approach with large-scale dataset, challenges emerge. Many studies tend to rely on one theory to identify predictors,potentially missing out on the rich insights these datasets offer. Yet, employing multiple theoriesfor predictor identification can lead to an overwhelming number of predictors. This is where thedata-driven approach becomes beneficial. We
astonishment that they could get such great agreement betweenthe physical thing they built and measured, and the ideal circuit they simulated. Thisdemonstrated how powerful simple models and analysis were to describe real world circuits.Creating the labsThe take-home hands-on labs were designed during the summer before the class began. Thisinvolved planning the labs to be consistent with the curriculum, creating the BOM, acquiring theinventory for up to 138 kits, assembling the kits, distributing the kits, writing the lab manual, andrecording the videos.We decided to record videos for the first five labs and hold off on the last five labs to getfeedback from students. Even so, getting ready for the first day involved about 200 hours ofpreparation time
–15-minute conclusion where fellows share their achievements from the session and formulate anaccountability plan for the next session. As part of the action research process, this groupcoaching model was revised in a second iteration of the institute. This paper aims to disseminatefive lessons learned to faculty developers in designing and leading a group coaching model.(1) Engineering instructional faculty are seeking community, over expertise.Previous research and the case study research for this project identified that the professionaldevelopment needs of EIF are centered around building community [4]. EIFs are seeking toengage in learning experiences that involve learning from other EIFs, sharing their efforts andbeing recognized for
Architecture, 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, 2024Impact of Summer Camp on Minority High School Students on STEM Career Perceptions Author1 Name, Author2 Name, and Author3 Name Author1, 2, 3 AffiliationAbstractIn today's rapidly evolving technological age, the role and relevance of STEM (Science,Technology, Engineering, and Mathematics) education cannot be understated. For the US, thequality and breadth of its STEM education will shape its future role on the global stage
develop a community withpeers in the same field.Two faculty members, who are active STEM education researchers, have instituted a newseminar series specifically for these students that is designed to realign the course withengineering education topics, continuously improve the Ph.D. curriculum, and assist students ontheir Ph.D. paths. The group of faculty and students began meeting every other week to discusstopics specifically related to STEM education and the needs of graduate school in lieu ofattending the general engineering seminars. This new seminar series covers multiple topicsapplicable to students in STEM education, including developing a plan of study, writing andpresenting a proposal for a dissertation, and on-campus graduate
relatively brief peer comments, so weconsidered other models. In our search of frameworks and rubrics, we observed that a significantamount of the peer feedback literature is based in medical education because commonpedagogical practices in the field, such as clinical rotations, necessitate immediate feedback froman instructor. Still, their approaches can likely be applied to other group or team-based learningsettings. A well-known approach to evaluating teamwork behaviors includes the TeamUP rubric.The TeamUP rubric was developed in the form of a Likert-scale survey for midwifery studentsand includes five domains: planning, environment, facilitating the contributions of others,managing conflict, and contributing to the team project [20]. Although
advisory body allows it to draw attention to issues might otherwise fail to gaintraction outside of the communities most directly affected them and stimulate action to addressthem.The concept for CESER was developed in 2020, and—after a delay brought about by theCOVID-19 pandemic—planning began in earnest in 2023 and an advisory committee to guidethe effort was identified. That committee is composed of national thought leaders and subjectmatter experts from academia, the public sector, and industry. It is co-chaired by CharlesBolden— a retired United States Marine Corps Major General, former astronaut who crewedfour Space Shuttle missions, and former Administrator of NASA—and Lisa Jackson—a formerEPA Administrator and current Vice President of
experiences from their respective teamsand classes that have benefited them in their professional careers. Regarding their classes, acommon theme emerged with participants highlighting specific courses or discussing theimportance of time management skills. In contrast, when discussing their team experiences,participants tended to elaborate more, often listing multiple skills or experiences. On the teamside, many responses emphasized the value of teamwork and project management. Participantsdescribed learning how to effectively plan and communicate with team members as crucial skillsthat have translated directly to their professional endeavors.Question 5 aimed to uncover what participants considered most important to them in their teamexperiences
emphasis on Black students) with items relatedto ethnic identity [17]–[19]. While making the CAM survey items more appropriate to Latinaengineering students, this approach would still leave the two research stages disjointed andunconnected since ethnic identity is a narrowly focused construct that fails to encompass allrelevant parameters. Greater coherence is achieved by incorporating aspects of the CCWMmodel in the first-stage survey instrument. Using Hiramori’s [20] quantitative implementation ofthe CCWM as a guide to modify CAM survey items related to racial identity [5], we willleverage the quantitative first stage results for planning the qualitative CCWM framework in thesecond stage of our study. Efforts were also taken to
transdisciplinarycollaboration, and allows for communication with non-experts. As a next step I plan toimplement data physicalization in a bio-inspired design course where comparative data betweenvarious species could be meaningful to visualize as physical objects as it relates to designabstraction and creating a connection to other species. Our classes are moving further and furtherfrom physical reality and have become digital and virtual. If we agree that making stuff is specialfor us, data physicalization could be an avenue to get back to making, to increasing sensoryavenues, to including other ways of knowing, to spatial perception, to embodied cognition. Apaper from 2013 discussed design for emotional attachment and technological adaptability as anapproach to
then, that on average, Communication, Creativity, System Thinking, Gritand Teamwork are the top competencies students choose to focus on, and students choose theiractivities accordingly. Sixty percent of onboarded students have planned at least one opportunityand 95% of those students have chosen at least one opportunity that includes a competency theyare focusing on. Since many of these are planned in the future, just 5% of these have completedthe activity and reflected so far, but we expect that number to grow significantly in the future.Currently, as mentioned, students can earn t-shirts for first time level up submissions and digitalcredentials to share on LinkedIn upon completion of a required number of reflections. The teamis also
programming, intelligence design, data warehousing),programming (problem-solving, languages such as Python, Java), project management (planning,project analysis, risk reporting), data analytics (computer learning, programming, statisticalmodeling), and business impact (consulting, market delivery, strategic management). Results [7]from an analysis of 1050 unique records of Data Science job requirements showed that technicalskills are in high demand when seeking Data Scientists. These skills include proficiency in BigData Technologies, software development, data management, analytic methods, algorithms,programming languages, and analytic tools. In addition, the study findings [7] showed demandfor soft skills (non-technical and interpersonal skills
Polytechnic Institute and State University Jennifer Case is Head and Professor in the Department of Engineering Education at Virginia Tech. She holds an honorary position at the University of Cape Town. Her research on the student experience of learning, focusing mainly on science and engineerinDr. David B Knight, Virginia Polytechnic Institute and State University David Knight is a Professor in the Department of Engineering Education at Virginia Tech and also serves as Special Assistant to the Dean for Strategic Plan Implementation in the College of Engineering. His research tends to be at the macro-scale, focused on a systems-level perspective of how engineering education can become more effective, efficient, and
instructor and technician observe students’ activities throughout the experiment. Thislaboratory can assess the ABET students’ outcome 5: “an ability to function effectively on ateam whose members provide leadership, create a collaborative and inclusive environment,establish goals, plan tasks, and meet objectives”[13].SafetyThe Electric Energy and Machines course has several lectures at the beginning of the semesterthat cover electric power safety [3]. Students learn about the dangers of working with electricalAC and DC currents that can flow through the body. They are advised to be extremely cautiouswhile working on these circuits. A hard copy of the effects of AC and DC currents from theIEEE standard on page 17 in [12] is given to students in the
2024 semester-end survey asked students to rate twelve course elementson a 4-point scale from “not at all effective” (1) to “highly effective” (4) in aiding their learning.The majority of the class found the quiz effective, giving it a mean ranking of 2.66. However, itis notable that only the exam corrections assignment (the other major metacognitive activity) wasrated lower than this. It is the perception of the instructors that the fall semester cohorts tend toengage more with these aspects of the course, and they plan to repeat this survey for severalsemesters to determine if there is a difference between the semesters. Regardless, there is roomfor improvement in how metacognition is encouraged in the course.AttendanceAttendance is
private spaceto work on their laboratory projects.Each team is given access to the VR model of the bottling system and is requested to programtheir Arduino boards to perform the control of the bottling process stages and have itcommunicated with the VR model, which is provided to them through the Web Browserinterface.Students then create a plan for sequential control of the given automation system model. Theyfirst study the system operation, then discuss and identify the key areas that would cause Proceedings of the 2023 Conference for Industry and Education Collaboration Copyright ©2023, American Society for Engineering Education
instructors in a variety of formats using web andtechnology. In this project we will implement a systematic method and plan to materialize ourvision into actions and deliverables.Step 01: Attend Professional Development WorkshopIn September 2022, the team attended a professional development workshop: OER 101organized by TBR. The workshop had three parts. The first part highlighted current states oftextbooks, increased cost of instructional materials over the last decade and the effects of highcost instructional materials on student learning. The values of OER to the students, instructorsand the institutions are also discussed in this part based on several major studies. The second partof the workshop focused on different creative commons licenses