thesetechnologies with hands-on exercises.2.4.3 Service LayerThe service layer of the IoT stack can be categorized as using a cloud service to store, compute, for-ward, or visualize data. In this course, students were introduced to essential software engineeringconcepts related to system design. Although the class projects would not need to scale to service100,000 users, the knowledge of how engineers plan for and accommodate applications at scalehelps promote good engineering practices. Oftentimes, IoT classes focus on the cloud to store,forward, or display data only. In future sections of this paper, we mention assignments leveragingthe Arduino cloud for an alarm system (Figure 4), a self-hosted NodeJS server interacting withFirebase for a real-time
learning goals are met. In the context of studyabroad programs, this can help students to actively plan their cultural engagements, monitor theirinteractions and emotional responses [25], and evaluate the effectiveness of their new interactionin navigating cultural challenges and adjusting as needed in the host country.The interplay between metacognitive knowledge and regulation is crucial. As Veenman et al.[26] argue, effective learning requires both the awareness of one’s cognitive processes(knowledge) and the ability to control and adjust these processes (regulation). Therefore,combining metacognitive knowledge and metacognitive regulation forms an effective frameworkfor understanding how students develop intercultural competence. Metacognitive
strengthen her leadership skills so that she can bettersupport her students’ future success, while Yvonne discusses her plan to restructure the focus ofher course to focus on problem-solving skills rather than technical skills explicitly. Through my work with my students really showing up for them and really supporting their learning journey with us…So I want to make sure that when my students are with us, that we are doing our level best to graduate leaders and world citizens. And in order to do that, I’ve got to be the best leader I can be. And I’ve got to understand. What does it take? What is required to be a great global citizen? What does that mean in terms of my country, in terms of my state, in terms of my
that this theoreticalproposal can support our future SoTL activities.In Section 2 of the paper, we will discuss how we teach capstone courses from the designcognition aspect with some reflective notes. Then, we will offer two theoretical frameworks inSections 3 and 4 that integrate the notion of design tasks in the traditional context of designtheory and methodology. Section 5 will discuss our plan to extend the current work for designeducation practice and research in the future. Section 6 will conclude this paper.2. Capstone design teaching: practice and reflectionWhen the primary author of this paper started to teach capstone courses in 2014, design theoryand methodology were used as the key content to guide students with their capstone
the TI as well as details of plans for longevity of thecourse and expectations regarding any course prerequisites. Submissions are reviewed andevaluated by the Templeton Institute Steering Committee (TISC), a group of faculty membersfrom various disciplines across campus. In addition to addressing the required TI content,elements of successful proposals have included projects, speakers, and field trips. Courses thatconnect to the general education curriculum and/or are team-taught are strongly encouraged andreceive higher priority in the selection process. The selection of a course does not circumventUnion College’s procedural norms, and all TI courses must go through the standard courseapproval process and be scheduled strategically in
assigns a senior instructor for eachcourse. Part of the senior instructor’s duty, besides teaching one or more of the course sections, isto ensure that each instructor prepares students across different sections in accordance withestablished course-wide administrative guidance, required textbooks, material and equipment,and lesson schedules, content, and objectives. To that extent, students in any one section couldattend class with any other section at any point during the semester and not be ahead or behindthe planned instruction. Consequently, assignments to include in-class quizzes and exams, arestandardized (i.e., similar in format, content, and difficulty) to provide a fair, balanced, andtransparent evaluation process.The construction
were presented by three avatars. These avatars rep-resented the following three interest groups with their video statements: 1. An emergency doctor who works in a large hospital: She reports that on many days she is confronted with having to make urgent and far-reaching treatment decisions. She briefly describes the shortcomings of existing living wills and clarifies the differ- ences between cases of planned surgery and those in which an emergency has arisen and quick action is necessary. In cases where relatives are involved in the decision- making process and a dispute arises with the medical staff treating the patient, court proceedings may result after the treatment. A PPP could provide helpful support to
regions. Notably, regions from where teachersparticipated in training also emerged as leading adopters of hands-on activities. Teachers alsoemphasized the need for university support, advocating for collaborations, two-waycommunication, and access to ready-to-use lesson plans, activities, and online resources.Financial and travel constraints posed major barriers for students attending a potential 3-daysummer camp at UNL, particularly in certain regions. Teachers recommended accommodatingstudents’ summer schedules and diversifying instruction with online courses, virtual university-led modules, and dual-credit programs. Overall, the study recognized Nebraska’s diverseregional needs. Instead of a ‘cookie-cutter’ approach, tailoring education
steer women toward disciplines perceived as more "appropriate" for them,such as healthcare or social sciences, thereby limiting their career choices and fostering asense of alienation in engineering. Moreover, the lack of visible female role modelsexacerbates this issue; without relatable figures, many students struggle to envision asuccessful future in the field. For example, a study commissioned by McLaren Automotiveand Plan International found that 61% of schoolgirls desire more female role models inengineering to inspire their pursuit of STEM careers [17]. Additionally, research indicatesthat women engineers and engineers of color continue to face pervasive biases in hiring, pay,promotions, and evaluations [18]. Enhancing female
complicating their ability to engagemeaningfully. Item MCQ5, “I develop action plans before interacting with people from adifferent culture in my research group,” was the most contentious in the metacognitive CQ, oftensparking confusion. P11 described item 5 as “too formal and ambiguous.” This situationhighlights the overlooked issue of assuming that all participants would inherently understandthese terms. Clear definitions or primers are essential to ensure comprehension, emphasizing theneed to either introduce key terms upfront or incorporate explanatory elements within the survey.Another recurring issue was the specificity of questions. For instance, P15 initially struggled tointerpret the question about preparing for intercultural interactions but
Protocolframework [1], it provides a structured approach to examine the nature of student interactionsduring collaborative tasks.Collaborative Learning and InclusivityExisting literature brings insight into the importance of collaborative and engaging group activitiesthat help students be effective team members and prepare them to solve real-world problems inSTEM fields. Other prior studies have examined collaborative learning benefits [10-12]collaboration in regards to gender [13-16] and how marginalized groups learn [17], [18].Studies reveal challenges in ensuring equitable participation within group dynamics. For instance,students with the abilities but lack the scientific knowledge to plan or strategize are excluded fromdecision-making processes and
(e.g., volunteering, gaming) that ignited their interest. 3. Career Aspirations and Practicality: • Job security and financial stability are prominent motivators, especially in healthcare and engineering fields. • Some students explicitly shift majors due to perceived job market stability, such as moving from computer science to nursing. 4. Community and Giving Back: • Students frequently mention a desire to contribute to their communities, either through mentoring, developing technology, or working in public service. • Plans to create clubs, offer after-school programs, or develop tools to help others highlight this sense of social
Design Challenges rolling resistance affect its energy efficiency by designing and constructing model cars from simple materials. Straw Bridges Design Challenge - Working as engineering teams, students use the engineering design process to plan, create, and test model bridges. Engineering Design Process & Design Thinking - Students are formally introduced to the seven-step EDP using the various EDP steps in the previous Engineering Design design challenges. 2 Process & Design Creative Crash Testing Design
andknowledge transfer graduate programs can encourage higher education institutions’technological culture change [6]. Pathway education composites the idea of patent development,productivity efficiency, customer discovery, marketing discovery, sales strategy, technologytransfer, and venture planning. With the knowledge of attributes, the lab-to-market outcomesenable graduate students to accomplish deliberate entrepreneurial expertise [18]. Universitiessupported academic entrepreneurship, also known as their 'third mission', by providing variousfacilitative mechanisms, i.e., science and technology parks, incubators, and entrepreneurshipinitiatives [19].The entrepreneur pathway advocates a patent defense for doctoral students, encouraging studentsto
the degree that they shared back their lasting memory of the event in theirassignments. We conclude that, as hopeful attitudes – countering pessimistic thinking,envisioning better futures, and planning action as concrete steps to achieve new worlds – are keyfactors to motivate ethical social and political action, the type of content offered in this course iscritical for a sociotechnical education that includes ethical instruction. There are several directions that can be taken for future study of the role of hopefulpedagogy in bridging the gap between critical sociotechnical education and ethical action. One isthat the same type of instruction and study should be done with diverse student populations. Oursample, in a private
judgment. In the second oral assessment, the students had to interpret data in order to diagnose and solve a potential problem. They had to think through a troubleshooting process and make a plan that tested their ideas. In both oral assessments, the students had to work within a context-specific motivation with flexibility and nuance, and were assessed on their domain-specific technical communication and use of appropriate jargon.I n engineering work, “the social and technical are almost inextricably tied up together in any engineering project, at least in any project that is realized successfully”[20, pg 121]. Because the oral assessments were individual assessments, it was important to incorporate some
discussion section. While the initial course development processresembled the traditional “import” of social contexts in technical coursework (e.g., asexemplified by case studies in engineering ethics courses [7]), our final product reflected theiterative, collaborative, continuing conversation around sociotechnical integration, which wasconducted across multiple semesters and Data 100 instructors.We have worked together with multiple Data 100 instructional teams to implement a two-partproject centered on the politics of property appraisal in Cook County, Illinois. The projectconsists of two Jupyter notebooks, an 80-minute lecture, and a lesson plan for a 20-minutesmall-group discussion. Across each of its components, the project teaches students to
pathways based upon established frameworks.Traditional curriculum plans, such as those from institutions designated by the NCAE-C incybersecurity defense education (CAE-CD) and cyber operations (CAE-CO) designation tracks,involve a manual process of identifying knowledge units for specific courses. Throughout themapping process, gaps are identified in curriculum plans based on the knowledge of the subjectmatter expert(s) (SME). Performing this task for one framework is challenging enough; considerthe increased complexity and risk of error when multiple frameworks are cross-referenced intothe plan. Improvement opportunities exist in the curriculum mapping and gap analysis process.This leads to the question of whether an LLM can speed up the
superior to a hybridsetting. Instead, with better planning, the hybrid setting could have been as successful as theonline. It is important to consider what barriers may arise from the chosen set-up and take stepsto mitigate them. Each situation will likely be unique, but some considerations while planning avirtual informal STEM experience are: • Technology and/or sound: this is particularly important for hybrid settings, though clearly communicating what technology participants need to fully participate in an online experience is also important. Ensure that the technology set up, particularly speakers and microphones, will be sufficient to effectively communicate with the participants. Ensure that the set-up is
Paternalism. To begincounteracting this ideology, I helped organize field visits where engineering students co-definedproblems with gray water usage with single-mothers heads-of-household in a community thatlacks state presence in the delivery and regulation of public services. Initially wary of regulationsimposed and enforced by the State, students quickly learned from the mothers that the State ismostly absent from their lives, how they had to secure, treat, and reuse water, all on their ownaccord, and where and how engineering could make the processes easier. Counteracting thisideology will require more concerted efforts such as a multiple-stakeholder conference onEngineering Post-State that I am planning in the future.Celebrate and leverage
above, careful planning and preparation are essential both dur-ing the development of VR simulations and their implementation in the classroom. Educatorsand developers must collaborate to design experiences that are pedagogically sound, appropriatelyimmersive, and accommodating to users’ needs. This paper aims to provide a framework for nav-igating these concerns by offering educators and developers with a series of best practices forcreating effective VR learning simulations.Design Challenges for VR DevelopmentIdentifying Proper UseIt is critical to understand how to maximize the benefits of VR before educators invest in technol-ogy and development. VR potential is best realized when applied to topics that align with the DICEframework
employees to serve in some capacity as the project liaison and to ensure projectdeliverables meet expectations. The course faculty might enlist the liaison to also help withstudent development and the evaluation of students’ work.Working in teams is also an expected student outcome for all engineering programs and it relatesto skills sought out by engineering employers [2]-[3]. Successful engineering students mustfunction effectively on a team whose members together provide leadership, create a collaborativeand inclusive environment, establish goals, plan tasks, and meet objectives [4]. Therefore,student success in these courses is determined through the quality of their project deliverables,the quality of their individual contributions, their
, plan motion,and make real-time decisions [2]. Artificial intelligence-driven technologies, such asconvolutional neural networks (CNNs), have further enhanced AVs' capabilities, allowing themto detect and classify objects in complex and dynamic environments [1].Object Detection and Scene UnderstandingFor AVs to be effective, they need to be able to detect and react to objects and obstacles in real-time. Object detection models like Faster R-CNN and YOLO (You Only Look Once) havesignificantly improved vehicle perception by identifying pedestrians, traffic signs, and vehiclesmore accurately and efficiently [3][8].A complementary process called scene classification involves understanding the generalenvironment (a city, a highway, a rural area) and
withtasks such as lesson planning, providing detailed feedback, and notably, creating assessments 13,14 .By generating quiz questions tailored to specific topics, ChatGPT has the potential to save timeand introduce a new level of customization to assessments.This study investigates the effectiveness of using ChatGPT to create quizzes that align withlearning objectives and accurately assess student understanding. It aims to provide evidence-basedinsights for educators and AI researchers by addressing the following research questions: • RQ1: How to more effectively generate quizzes using AI? • RQ2: How do AI-generated quizzes compare to manually crafted assessments in measuring understanding and differentiating performance? • RQ3: How
Paper ID #45807Examining the Effects of Gender on Capstone Team CohesionMadeline JoAnna Szoo, Northeastern University Madeline Szoo is a 5th year undergraduate Chemical Engineering and Biochemistry major at Northeastern University (graduation May 2025). She is the current President of the Northeastern University Chapter of Sigma Xi, the Scientific Research Honor Society, and outside of engineering education research, she studies the development of predictive vascularized tumor models for preclinical assays. She plans to pursue her PhD in Biomedical Engineering starting Fall 2025.Dr. Courtney Pfluger, Northeastern
in addition to 1)associated sample citations for referencing validity of each feature with respect to featurepotential in addressing student interest/motivation, and 2) notes that include examples furtherdetailing the listed features. The purpose of this paper is to share and discuss results from datacollected in foundational efforts to determine the impact ENGR 111 may or may not have onengineering student retention.Table 1. Pedagogical features and description for the ENGR 111 course. Feature Ref. [e.g.] Notes ➢ Course instruction & lesson plan(s) directly related to hand tool usage Hand
valuableinsights to enhance their teaching practices, which they plan to incorporate into other courses.These results highlight how growth in pedagogical knowledge gained through these programsoften translates into broader applications in future teaching endeavors.Collaborations with International PartnersQuestions six and seven addressed connections with international partners and collaborationamong students, faculty, and staff. Instructors from the No-COIL and COIL+ programsexpressed enthusiasm about maintaining their established connections, while COIL instructorswere less inclined. Additionally, instructors from the No-COIL and COIL+ programs felt well-prepared for these collaborations, whereas COIL instructors reported feeling less prepared. SomeCOIL
candidate.The software development industry not only created AI platforms, but it is also one of thebiggest beneficiaries of these technologies. Software developers use these products for codecompilation, code debugging, and code-driven testing…even to the point that they prompt an AIproduct for initial coding and then augment it with their own code. Along with MachineLearning and Natural Language Processing, AI is used to automate the entire softwaredevelopment process, which can include software security, software deployment, planning andcost estimation, understanding user behavior, and even strategic decision making. [3]ARCE 352 (Structural Computing I) is a one-unit computer laboratory that is a companioncourse to ARCE 302 (Structural Analysis) at
theinterview.This work involved human subjects in its research. Approval of all ethical and experimentalprocedures and protocols was granted by the Institutional Review Board (IRB-2024-237).Data Collection – Semi-structured InterviewsData for this study were collected using semi-structured interviews designed to explore students’experiences with microelectronics in the course. This approach provided a flexible framework,encouraging participants to share detailed reflections on their prior exposure to microelectronics,their evolving interest in the subject, and their future engagement plans. The semi-structuredformat allowed interviewers to ask follow-up questions, tailoring discussions to the uniqueexperiences and perspectives of each participant. This
themselves to reach out to advisors forindividual assistance. The academic advising team is embedded within the same department asthe instructors of the first-year general engineering course, allowing for collaboration andintegration of actions.One manifestation of instructor-advisor collaboration is the semesterly visit of academic advisorsto the first-year general engineering course to lead discussions about major and careerexploration and academic planning. During this visit, an academic advisor takes over the classwith a presentation or set of activities to introduce students to available career and majorexploration tools and to contextualize the role of academic planning in the major selectionprocess. For the accelerated version of the course