communication.However, a noticeable gap emerged during PDR, CDR, and FDR presentation, where studentsoften fell short in providing adequate information to elucidate their design or present acomprehensive picture of the project's progress and completed work. When prompted for self-reflection, students expressed confusion, having adhered to the rubric, yet finding their workquality not meeting the expectations of sponsors and instructors. The critical missing elementwas identified as the quality of the presented work and the overall narrative. Students, engrossedin checking rubric boxes and conforming to rigid categories, inadvertently neglected the crucialinformation transformation process and the art of effective storytelling.The investigation unfolded in a
upon completing the two-semester capstone sequence. Next, the instructors identifiedlearning outcomes, which describe what the students would be expected to know or formally do.This effort was followed by identifying assessment techniques and filling in the course's content.Key aspects of the design mindset which were infused in this new course included: beinginquisitive and open, being empathetic to others’ needs, being accepting of ambiguity,questioning critically, and a proclivity to taking purposeful action.The two instructors involved in this redesign both have experience in the industry of productdesign and development, and aimed to structure the course and project path to reflect many ofthe practices that designers and engineers might
researchers applied their methods to the formation of small (threeperson) teams of business students who worked on short-term class projects. Their results werepromising enough to invite applications in other academic disciplines.This paper presents an “academic practice / design intervention” that adapts and extends thework of Lane and Pearlstein to engineering capstone design team formation. It adopts theirapproach of incorporating both student and instructor perspectives in the team formation process.It extends their work by adding an experiential activity that offers insight into potential teamdynamics. It also incorporates a reflective exercise that guides students toward more holisticteammate preferences.The impact of this new team formation
University. She earned her B.S. in Software Engineering from Makerere University and her M.S. in Information Technology, with a focus on Software Engineering & Data Science, from Carnegie Mellon University. Her research focuses on reflective practices and outcomes in scaffolded computational modeling and simulation engineering projects, alongside the integration of data and ethical reasoning in engineering, and computing education within the African context. ©American Society for Engineering Education, 2024 Developing the Design Reasoning in Data Life-cycle Ethical Management FrameworkAbstractHuman-designed systems are increasingly leveraged by data-driven methods and
experience. These are situations in which the designer(s) are most likely not to reflect anunderstanding or shared identity of end users’ needs and conditions. While the field ofengineering is diversifying, in the United States, nearly three-quarters of engineering positionsare still held by men, two-thirds of whom identify as white [12]. Until there is greaterrepresentation in the sciences and engineering fields, new pedagogical approaches are required toensure that engineering designs are inclusive and appropriate for the sociocultural contexts intowhich they are implemented.Many institutions develop DEI education as a separate, focused course to assist engineers inunderstanding place-based context. Social science courses may go some way in
to reorder nature. This reordering of theworld is consequential, driven by imperfect human ambitions and choices subject to subjectiveaesthetic, ethical, and moral scrutiny of their impacts. It is of infinite variability based on culture,discipline, resources, environment, reasoning, imagination, and reflection, but rooted in humanniche for rapid adaptability. Human design began with a cognitive ability tied to visual neuralpathways and ability to think visually—visual thinking and the hand to abstract and manipulatematter for practical applications [26]. This functionality came through the power of observation,curiosity, imagination, abstraction, and goal-directed deliberation. It also came withunderstanding form and aesthetics and
as question content and clarity, have been shown todrastically impact the degree to which peer review results accurately reflect the actualinteractions of the team and its members’ behaviors [10]-[13]. Furthermore, if students perceivea peer review tool as non-representative and inadequate in its ability to match their perceptionsof internal team dynamics, then those perceptions can impact student value assessments of thecapstone experience as a whole. A sense of “grade injustice” in the presence of social loafing,poor quality work, or communication/interpersonal deficiencies can be demotivating forotherwise high performing students if they reject the adequacy of the mechanisms implementedto catch, correct, and resolve these behaviors [14
in their programrequirements. The study assessed the impact on student confidence in using these tools beforeand after the course, aiming to better understand their experiences and create course materialsthat more accurately reflect the challenges of aerospace engineering design. A backwards designapproach was employed in the development of the modules, and a thematic analysis wasconducted on student reflections. The analysis underscored the importance of challengingprojects supplemented with supporting modules in gaining insights into engineering design toolsfor aircraft design.IntroductionWith the fast and ever-changing growth in the aerospace industry, it is necessary to meet thedemands of the industry with individuals who are capable of
conclusions or recommendations expressedin this material are those of the authors and do not necessarily reflect the views of the National Science Foundation orother funding sources.clinician with expert knowledge. But, what is the benefit received by the need-knower for sharingtheir expertise? While some students may produce a usable artifact and deliver it to theneed-knower, others may not. In some assistive device design classes, there may be noinstructional requirement for producing a working artifact delivered to the need-knower at the endof term at all – we call this an education-first approach. While some need-knowers may be awareof this potential outcome, others may be disappointed by the lack of follow-through.Unfortunately, in talking with
brainstorm and research extensively, allowing for a freeflow of creative ideas without immediate constraints. The Explain phase then guides students tosynthesize and articulate their findings, akin to defining a clear problem statement in design thinking. Theprocess continues with the Elaborate phase, where students develop tangible solutions or prototypes,reflecting the prototyping stage in design thinking. This hands-on approach encourages the practicalapplication of their ideas, emphasizing testing and refinement. Finally, the Evaluate phase mirrors thetesting phase in design thinking, where students assess the effectiveness of their solutions and gatherfeedback. This not only allows for reflection but also encourages iterative improvement, a
the center since its launch and our progress after twoyears of operation with the help of tutors. We also present the formation of a tutor network,which is designed to be diverse in terms of academic background and culture. An evaluation ofthe impact of our approach on makerspace diversity, inclusion, and equity is presented throughthe analysis of statistics and reflections from the tutors involved in the initiative. The studyshows that our proposed tutor network can effectively serve as a role model for fosteringdiversity, equity, and inclusion in academic makerspaces for undergraduate students.BackgroundThe University of Hong Kong's Faculty of Engineering has established the Tam Wing FanInnovation Wing [1], also known as the HKU Inno Wing
soft skillsnecessary to tackle real-world challenges, thereby playing a crucial role in societal innovationand technological advancement. Central to this educational journey is the capstone designproject, an essential component of the final year curriculum that not only serves as a significantmilestone for aspiring engineers but also acts as a vital bridge between academic learning andpractical application.Capstone projects challenge students to synthesize and apply their comprehensive knowledgethrough hands-on projects within a team-based environment, mirroring professional engineeringpractices. These projects are intended to prepare students for the complexities of real-worldengineering tasks and reflect the dynamics of professional practice
ofbreakthrough innovation. This paper delves into the course’s framework, which draws inspirationfrom the vast reservoir of innovation literature and two decades of the instructor’s industryexperience applying and improving innovation business processes with her teams in a fast-paced,high-tech industry. The core hypothesis of this paper is that innovation is fundamentally a learningprocess, that personal innovativeness can be cultivated and elevated through the teaching ofestablished principles derived from the realm of learning science. These principles encompass theelevation of metacognition, the deliberate integration of intentionality into the learning process,and the embedding of reflective practices into the students' educational journeys
to comprehensively assess students'knowledge and attitudes about sustainability in engineering design, we employed three distinctmethods: self-developed questions and assignments. The survey, initiated with a statementsecuring participants' consent, focused on demographic details before delving into six open-ended questions gauging perspectives on sustainability, life cycle assessment (LCA), andsustainable design. Furthermore, the LCA reflection assignment served as a valuable component, providingdirect evidence of students' understanding of the significance of Life Cycle Assessment (LCA) inengineering designs. The thorough assessment of assignments focused on aspects such as theproduct's lifespan and its broader impacts, encompassing
design and manufacturing. Chijhi is a teaching assistant in the College of Engineering Education, instructing the Transforming Ideas to Innovation I & II courses, which introduce first-year students to the engineering profession using multidisciplinary, societally relevant content.Dr. Robert P. Loweth, Purdue University Robert P. Loweth (he/him) is a Visiting Assistant Professor in the School of Engineering Education at Purdue University. His research explores how engineering students and practitioners engage stakeholders in their engineering projects, reflect on their social identities, and consider the broader societal contexts of their engineering work. The goals of his research are 1) to develop tools and
3outcomes. Moreover, antecedents and interpersonal outcomes may differ across contexts,resulting in different ways empathy might be observed and different facets that might be mostcritical to empathy’s manifestation. Thus, for the next stop on our tour of empathy models, weexplore Smeenk, Sturm, and Eggen’s [16] Empathic Formation Compass.Smeenk, Sturm, and Eggen’s Empathic Formation CompassSmeenk and colleagues [16] developed their empathic formation compass through a focus onproviding a model that addresses empathy as a construct and process, supports reflection ondesign action, and focuses on designers’ roles and design decisions. The empathic formationcompass integrates several empathy and design models to create a more robust sense of
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
, and understand spatial relationships in a directand immediate manner [8]. However, with the emergence of CAD tools, there has been a paradigmshift in how these skills are taught and developed. CAD offers precision and efficiency but oftenat the expense of the instinctive comprehension associated with freehand sketching [9].Studies by Merzdorf et al. [10] and Contero et al. [11] have underscored the importance ofsketching instruction in augmenting spatial skills, thereby improving students’ overall designprocess in engineering education. This underlines the critical role of spatial visualization in sketchcreation, indicating that experts in the field prioritize the shape quality metrics over line quality insketches. This reflects the evolving
Validate functions Troubleshoot1, 3, 5, 6 Analyze solutions Implement Revise/Iterate ●Iterate toward most viable Evaluate hi-fi prototype ●Evaluate quality of design 2, 4, 7 Analyze solutions Reflect on solution with team Assess policy and Process members regulatory issues ●Evaluate user experience Evaluate After developing the framework, we sought
together about a common question[4]. This relational interview process is fundamental to ethnographic interviewing [5].Similarly, participant observation allows researchers to relationally discover, in-situ, how clientsunderstand and articulate problems. Neither insider nor outsider, the role of the participant-observer is to gain understanding through immersion, often reflected in ethnographic fieldnotes[6]. Thus, observation is another important skill to be developed.In terms of pedagogical design, the team decided to use a flipped classroom strategy. Over thepast decade, flipped classrooms have become increasingly popular in engineering [7, 8]. In arecent meta-analysis in engineering education in K-12 and higher education contexts, the
classroom, moving lower cognitive loading activities outside of classto become a foundation for building in-class content. Prelab materials are generally sourced fromalready-existing content and thus do not need to be created by student-teachers; they maycomprise readings, online videos & tutorials, or configuration prompts such as softwaredownload and setup. Evidence of learning is checked via a low-point value quiz with no timelimit to ensure everyone comes to class prepared. The teaching team utilizes varying questiontypes with questions phrased to emphasize key learning goals for the week and prompt personalmeaning-making and reflection. These quizzes are instrumental to the learning process; theycheck that learners did the reading and
disrespected and the issuewas never addressed following the incident.Student D reflects on the constraints of decision-making within certain limitations andacknowledges the importance of working with diverse perspectives. Despite differing decisions,she said her team recognized the value of collective decision-making for the overall success of theproject.Contrary to the other students’ approach, Student E describes a time when there was conflictregarding her team members being unable to attend their project competition due to limited funds.The conflict was resolved through management’s decision to require members to fund their travelexpenses if they wanted to attend, which demonstrated a hierarchical resolution approach. Shesaid: “The way it was
ofexperimental design.Watson et al. [24] developed a rubric in a Civil Engineering senior design course to improvestudent’s sustainable design skills. This rubric includes 14 criteria to evaluate student’sperformance in their capstone reports in four areas including environmental, social, design tool,and economic. In this study, students reflected on their design skills and rated their projects basedon a rubric and discussed the results with other students. This formative rubric assessment assistedstudents in a better understanding of sustainable design. 4. Needs for a college level design assessmentBased on both literature review sections, the authors did not find any universal and comprehensivedesign knowledge assessment tool that can be used
disciplinescommonplace. These systems are further broken down into specialized subgroups to divide tasksequally and ensure tasks are completed by those most qualified for them, such as materialsselection. Due to the structure of engineering design teams, it is important to maintain propercommunication between the various groups, as alterations in one group’s designs could affect othergroups’ designs.To better prepare students and meet industry needs, new innovative teaching approaches have beendeveloped, such as Project-Based Learning (PjBL). This method of teaching seeks to encouragestudents to learn during a project (Uziak, 2016). The closer a project reflects reality, the more astudent will learn by utilizing the theoretical knowledge gathered through their
which reflects long-term thinking, they could earn 3 pts. Table 2 shows thedesign evaluation rubric. The design work of each group was assessed by both the instructor andtheir peers following the same sustainable design rubric shown in Table 2. Peer evaluation is aneffective collaborative learning strategy [19]. Related to self-assessment, peer evaluationencourages students to critically examine peers’ work and reflect on the meaning of quality workin general, primarily when consulting a detailed rubric as a guide. Students themselves providefeedback to one another, while the instructor focuses on more targeted guidance toward alearning outcome. Through peer evaluation, students ultimately learn to better self-assessthemselves, which pays
signalindicating their likelihood to graduate [3][4]. Full time enrollment, grade point average, and timeto completion are also indicative of successful student support programs. But contemporaryscholars point out that these outcomes are situated within the viewpoint of how the studentsimpact the institution, and less concerned with how students are intrinsically impacted by theireducation. Outcomes such as civic engagement, leadership, critical consciousness, andbelongingness have been dubbed liberatory outcomes, a name reflective of the liberation thateducation is meant to provide [5][6].At the outset of this study, we hypothesized that a comprehensive student support programwould embody academic outcomes and support students’ access to and
the utility company, theengineering design team, and the installation contractors, directly affected landowners,community members either in support or opposed to the project, and other community leaders.Impacted parties with similar interests worked together to establish different arguments in favoror against the proposed project. During the final exam period, we held a mock town hall meeting.Afterward, the students reflected on why they voted as they did and how the arguments that werepresented during the hearing influenced their decision (Appendix D). This final assignment wasdesigned to help students imagine themselves as engaged citizens as they prepare to graduate andbecome working professionals in the community.ResultsInitial results
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