prior work done in measuring spatialvisualization skills, our work involves contributions concerning international engineeringeducation.We are embarking on this project to develop a test from scratch rather than using existingassessment tools. Before making our own, we want to learn from previous projects what doesand does not work in existing assessment tools with a critical lens. Often, the tests currently usedin literature and the subsequent course or curriculum appear to result in score gains of studentsafter the intervention [3]. We are questioning whether this could be a result of the test notaccurately capturing the spatial visualization skills initially, whether this reflects ceiling/flooreffect in statistical data analyses, or if gains
refining during the later stages oftheir design processes. Meanwhile, professional participants often reflected on ways theynarrowed down their target context and target users and acknowledged settings in which theirsolutions should not be implemented. For example, one participant described: “There's such a vast diversity of context that patients receive care…it is an extremely complex and varying group…I mean there are lots of cases where [this product] either can't or shouldn't be used.”- Professional participant C4.2.2 Characterization of LMIC contexts Experienced designers acknowledged more nuance and differences across differentLMICs and within them than students. In general, student participants used terms like “low-resource
of correct behaviors, identification of weaknesses,adaptation of strategies, and reflection on their learning process. The AI model dynamicallyrecommended personalized learning pathways based on students' progress. This multifacetedfeedback approach contributed to a more effective and engaging learning environment,ultimately leading to improved understanding and mastery of swarm intelligence concepts andalgorithms. Williamson et al. [5] revealed how Internet of Things (IoT) technology can replicatebrain functions within physical settings, enabling the sensing and comprehension of humancognitive behaviors. They also showed how this innovation enhances human cognition andperformance.AI-driven Gamification: AI-driven gamification in education
) Prof[25] team mental models in design Reflective Practice UG, Grad, teams Qualitative Analysis (RPA) Prof Input of an expert model of Concept maps (Graph text, to output of concept map[28] Grad Mixed Methods Centrality) summarizing the key ideas and relationships in the text2 CONCEPT MAPS Concept maps use a graph-based structure
research [44].3. METHODOLOGYThe methodology employed in this study consisted of a review process of the coursesyllabi, encompassing a detailed examination of individual modules and coursesegments. The primary aim was to identify the presence of design thinking embeddedwithin the curriculum. The initial phase of the review process involved a preliminaryexamination of the course content, facilitating the early identification of elementsrelevant to design thinking. In the coding phase, the accumulated data were classifiedaccording to predetermined criteria that reflected the implementation aspects ofdesign thinking within the educational offerings.The methodology adhered to a three-pronged search principle, focusing on:Design Thinking as Process
• Is your assignment prompt visually organized and accessible? • How can you scaffold this assignment with smaller “stepping stones” assignments? • Can you analyze examples in class to distinguish between excellent and adequate work? Additional • How will you encourage creativity so that examples are not seen as templates? Considerations • Will students have the opportunity to engage in peer review before final submission? • How will students reflect and comment on their completed, graded work after evaluation to identify what they did well and changes to
societalimpact and to align with ABET standards, the Webb Communication Program at the WoodruffSchool has established a guiding framework that defines our understanding of what effectivecommunication is. Specifically, this framework names appropriateness and responsiveness as thefoundation of effective communication. These are defined in the following ways: 1. Appropriateness: The quality of a prepared message that reflects its suitability in addressing the specific context, audience, and purpose, resulting in a communication that is ideally curated and positioned for maximum effectiveness. 2. Responsiveness: The quality of being adaptable and receptive to the evolving dynamics of a communication context, enabling timely and
majors [3]. This reflects an influence of self-efficacy on career choice. Self-efficacycan influence students at the beginning of their studies in selecting their major and at thecompletion of their studies by increasing their perceived career options [6]. Finally, self-efficacyis also associated with better mental health in students, specifically seen in reduced anxietylevels in students with higher self-efficacy [7].Clearly, the beneficial practices and traits associated with self-efficacy indicate it as a desiredcharacteristic in students. However, self-efficacy is not simply a static personal attribute thatshould be selected for in admissions processes. It is, rather, a dynamic quality, the cultivation ofwhich should be a central aim of
designed to address this training gap and transcendcommunication barriers between disciplines while promoting team science through creation ofan integrated inter-disciplinary educational model that reflects rapid advances in microbiomeresearch and the need for both interdisciplinary research and professional skills to address thesechallenges [6]. This paper reports on the evaluation of this project over five years with a focuson challenges identified in training graduate students with different entry level skills and acrossdisciplines. Strategies and training elements implemented to successfully address thesechallenges were made possible through close collaboration between the evaluation team andproject leadership who were highly responsive to
also the president and founder of Valgotech LLC, a company that was awarded the highly competitive Small Business Technology Transfer and Research (STTR) Phase 2 grant by the National Science Foundation (NSF) to develop advanced Lithium Sulfur batteries for drones and other applications.Dr. Najmus Saqib, University of Indianapolis Najmus Saqib is an Assistant Professor in the R.B. Annis School of Engineering at the University of In- dianapolis (UIndy). Saqib received his Ph.D. in Mechanical Engineering from Colorado School of Mines (CSM), focusing on ”Optical Diagnostics of Lithium-Sulfur and Lithium-Ion Battery Electrolytes using Attenuated Total Reflection Infrared Spectroscopy”. He likes to use innovative
Duke studentstravel with Duke faculty for eight weeks over the summer to work with local nonprofits (Figure11). They worked in integrated Duke-Makerere teams to identify gaps in healthcare delivery thatcould be solved with the creation of a biomedical device. Prototyping was done in theDesignCube with occasional help from local craftsmen.Assessment and Initial ObservationsDuke DesignCubeSix teams that worked in the DesignCube completed a reflection survey about their initialimpressions of the space (Appendix C). This includes four EGR 101 (first-year design) teams,one independent study design team (four undergraduate students), and one research project(undergraduates, graduate students, and two faculty). This is a preliminary tool to gauge how
frustrated when it happened.Discussion This study investigated how students perceive generative AI (GAI) for designing mood boards ina computer-aided design (CAD) course regarding design creativity. Specifically, we introduced a workshopand a homework assignment that incorporated the GAI tool Midjourney into the students' final CADprojects, aiming to teach 20 students how to use GAI in conceptual design. Through surveys and interviews,we examined students' creativity in the mood board design process and the final products, comparing themto those created without GAI. Our findings revealed that most students (17 out of 20) believed GAI boostedtheir creativity, although expert evaluations of their works did not reflect this. Additionally, we
from theperceived importance of empathy as a professional skill where the lowest selected importancewas ‘moderately important’. However, this difference did not reach statistical significance (p =0.080). This result is again inline with those of faculty and staff (p = 0.976) with sevenrespondents identifying teaching empathy as slight important or not at all important even though‘very important’ was the most frequent response (n = 12) [40].Figure 2. Graduate students’ identified importance of teaching empathy.This wider range of opinions on the importance of teaching empathy was reflected in surveyresponses where some saw empathy as not important to prioritize in engineering education:“This is an important skill, but not something that needs
theirdesigns during the judgment-free "Concept Generation Phase." In the next phase of the game,"Concept Selection and Debate," they must argue with their teammates to select the best designto submit for their fictional group project. The twist of the game is that the initial bias of students–which design they would like the team to submit– as well as their personality –the method thatthey use to argue– are both determined by randomly dealt cards. This causes the students to stepoutside of their comfort zone and internally reflect on how they argue their opinions normallyversus how others might make a similar argument. In the "Grading" phase of the game, the teamreceives a score based on if they were able to receive a majority or total consensus. The
with this statement.In relation to our delivery of senior design, we identified at least nine companies that arecurrently offering internships to our students. Following each engagement event, we posted thedetails and photos on our department social media accounts. Given that 67.4% of thedepartment’s social media following is from the NYC metropolitan area, we hypothesize that thisactivity increased the department’s reach locally and helped connect with additional industrypartners.The effectiveness of our framework was reflected in the attendance of our annual undergraduatenetworking event. For the inaugural event in 2023, 38 separate companies were invited andrepresentatives from 29 companies attended the event. In 2024, 83 separate companies
indicate their level of satisfaction with their assigned project, where 5 = extremely satisfied and 1 = extremely dissatisfied. Despite not having available comparison data for the instructor-assigned cohort, the authors chose to present the self-assigned student cohort survey responses to this question in this paper.(2) Student Satisfaction with Assigned Teammates: CATME peer evaluation data [5, 9] collected in Weeks 5 and 10 out of 30 were used to assess student level of satisfaction with teammates. We compared the prevalence of underperforming team members and of teams with at least one underperforming member. Because underperformance was identified with CATME survey data, this measure reflects students’ perceptions of their
wasrepresentative of the cohort and that the outcomes can be treated as an accurate reflection ofthe participants’ opinions. Confidence intervals for the surveys were all lower than 3.5% at a95% level of confidence.In each year, the pre-participation response sets facilitate “a consideration of the knowledgebase of the CC transfer students in the summer bridge program as the students were asked torate their level of experience” [22] with as many as 27 different topics. “A ten-point scale wasused and informants were instructed to submit a rating of zero for ‘no experience/ability’ and arating of ten for being ‘well informed/very capable’ in the area” [22]. “The responses facilitateda rank ordering of ratings by topic, with the highest mean as the primary
visualization of both a low-fidelity and a high- Week 8 testing fidelity prototype, and a plan for how field testing might be carried out. summary Outline of pitch Included an outline for each deliverable, using the rubrics as guides Week 9 and proposal Practice pitch A run through of the oral pitches for the class and the teaching team Week 10Finally, at the end of the project, each student wrote a personal reflection and completed apeer evaluation of each team member. The personal reflection assignment asked each studentto describe what was learned during the project and why it was significant for them. Promptquestions around the design process itself were used as a guide to help students focus theirreflection
Chapter 7 (Collaborate) Students draw “core valuealigning core values with Chapter 8 (Align actions with trees” to identify and reflect onactions; key-takeaways from Goals and Values) their core values and align withthe workshop series actions (adaptation of B.Carr’s “Live your Core Values” exercise [25]). The workshop series concludes with a spontaneous talent show and
their designs before they are built in a real-world experiment because they can makeaccurate conclusions from 3D prototypes [33]. This can reduce issues that are being caused bynot having enough foresight of the engineering development process ahead of implementation.Future WorkAllowing students to experience and master situations that reflect real life is the core goal ofauthentic learning. According to some academics, emerging technologies are particularly adeptat supporting inquiry-based learning environments by developing "genuine" science learningenvironments and, perhaps more significantly, by involving students in scientific inquiry [34].The capacity of augmented reality (AR) technology to engage students and create a setting forgenuine
weaknesses for the design process and that fullermore complete LCA are built out through use of multiple tools with differing sustainabilityinformation and focus areas.Student teams were expected to send in weekly reports to document progress on the project as wellas use the project management website to track progress for the project, shown in Figure 7. Thepurpose of the reports was to create reflective practices in students and ensure they were on trackfor project completion.Figure 7. Example student team weekly report snapshot. Students list the group members, the goalsfor the week, and the accomplishment and time contributions of each member towards those goals.The end of the document (not shown) lists the tasks/goals for the upcoming
. A. LeMasney, H. M. Shuster, and K. Mallouk, “First-year engineering students’ interpretation of curiosity in the entrepreneurial mindset through reflective practice,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2020. doi: 10.18260/1-2--34678.[5] F. Hassan, A. Ammar, and H. J. LeBlanc, “Entrepreneurial Mindset Learning (EML) Activities in a Digital Logic Course,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2022.[6] J. Kadlowec, M. Amadoro, and A. Osta, “A Statics and Dynamics Project Infusing Entrepreneurial Mindset,” in ASEE North Central Section Conference, 2021.[7] Engineering Unleashed, “What is KEEN?” https://engineeringunleashed.com/what-is- keen
presentation anddistilled into a poster presentation. These presentations allow for reflection on how the projecthas developed over the course of the semester, reiterating the importance of holisticconsideration in design decision-making. Students have the opportunity to present theirsemester’s work and improve their communication skills through an open poster session for thedepartment, and received feedback from faculty, undergraduate and graduate students external tothe course.Student Feedback and Course OutcomesThis restructured Sustainable Materials Design course has been delivered for two years, withimprovements in course content, structure, and assignments towards SDG-centered projectsbased on student feedback. Additionally, students were given
now reflect theirindividual contributions; and 2) to foster better time management skills, reducing last-minutegroup efforts. Our findings suggest that including an individual portion in lab group assignmentspositively impacts students. The average scores for the individual contribution portion of the labreports were 92%. The approach was shown to increase accountability among individual membersof the lab groups, as students who self-identified as “waiting to the last minute” were shown tosubmit individual portions on time (75%). Furthermore, the early submission requirementencouraged effective time management across all students, exemplified by the on-time submissionrate of 94% on individual portions, thereby diminishing the
survey. Examining and coding the 392open-ended responses from students allowed for research analysis based on the frequency ofcodes. Reading all open-ended responses allowed for course development faculty reflection onhow the current peer mentors are, or are not, helping students develop confidence in their roles.AnalysisQuantitative Data. Given the constraint of not having a control group or pre-post scores forcomparison, we determined that the best way to analyze our data was descriptively. Ourquantitative data consisted of the frequencies for the five levels of our three Likert scale items.Thus, our analysis focused on calculations of central tendency and variation to report our datadescriptively.Qualitative Data. We analyzed our qualitative
news sources. Hammond is dedicated to diversity and equity, which is reflected in her publications, research, teaching, service, and mentoring. More at http://srl.tamu.edu and http://ieei.tamu.edu. ©American Society for Engineering Education, 2023 An Insight into User Experiences of an Intelligent Tutoring System to Learn Sketching Skills Donna Jaison Dr. Hillary Merzdorf Lance White Dr. Kerrie Douglas Dr. Karan Watson P.E. Dr. Tracy HammondAbstractSketching is a valuable skill for many engineering students to support the development of variousauxiliary skills such as refined spatial visualization, problem-solving
AmericanSociety for Engineering Education. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.REFERENCES [1] T. Kösa and F. Karakuş, “The Effects of Computer-Aided Design Software on Engineering Students’ Spatial Visualisation Skills,” European Journal of Engineering Education, vol. 43, no. 2, pp. 296–308, 2018, doi: 10.1080/03043797.2017.1370578. [2] S. P. Dow, K. Heddleston, and S. R. Klemmer, “The Efficacy of Prototyping Under Time Constraints,” in Proceedings of the seventh ACM conference on Creativity and cognition, 2009, pp. 165–174. [3] B. A. Camburn, D. Jensen, R
’ programs.DiscussionThe self-efficacy survey findings suggest that students increased their engineering skills whileusing the kits to complete their space ‘missions’, which was also reflected by the student teams’final presentations successfully demonstrating their completed nano-satellite systems operationand capabilities. To further understand the findings, word clouds (Figure 8) were created fromstudents’ responses to the open-ended survey questions in order to get a general impression ofhow students felt the kits and tools engaged them in their learning experiences. Figure 8: Pre-course (left) and post-course (right) word cloud of student responses to the question “How do you think the nano-satellite kit will support/supported your learning?”The pre
--34805, June 2020.[8] O. Ryan, M. J. Fisher, L. Schibelius, M. V. Huerta, & S. Sajadi, “Using a scenario-based learning approach with instructional technology to teach conflict management to engineering students” 2023 ASEE Annual Conference & Exposition, Baltimore, Maryland. 10.18260/1-2--44561, June 2023.[9] R. Al-Hammoud, M. Barichello, C. Rennick, E. Jobidon, R. & Li, “Two Student Workshops on Identifying and Resolving Teamwork Conflict” presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual Online. 10.18260/1-2--35406, June 2020[10] L. van Onselen, C. De Lille, and D. Snelders, “Design requirements to educate and facilitate junior design professionals to reflect
and insights for the participants to consider whenworking with their students. Each session also included hands-on curriculum design time dedicatedto writing specific components of the curriculum modules. The workshops culminated with asharing session during which teachers could provide one another with feedback and suggestions.At the end of the summer program, the curriculum modules were submitted to the curriculumdevelopment expert assigned to this RET project for review. The expert reviewed the modules toensure that they aligned with program goals and state/national standards, reflected best practices,and utilized active, problem-based learning strategies to foster learner interest, engagement, andachievement. Lastly, continuous