review panel. The resulting matrices are analyzed by faculty to assess theintervention’s impact on requirements development in terms of quantity and type.This intervention may also serve to provide a list of technical requirements at a more consistentlevel of abstraction to enable the effective implementation of the following phases of QualityFunction Deployment considering correlations between technical requirements and productcharacteristics, and characteristics and manufacturing processes.KeywordsRequirements, Requirements Management, Quality Function Deployment, House of Quality,Collaborative DesignMotivationRequirements are a foundational component of the design process and generation begins in thefirst stages of design [1], [2
parallelconstruction in sentences or phrases that compare data; and incorporating design elements toimprove readability and emphasize hierarchical relationships. Similarly, Darland et al. [1]highlighted the effectiveness of structured, peer-driven approaches that combine goal-orientedwriting exercises with group feedback sessions. Alshwairikh et al. [2] found that trainees whodedicated more hours to writing each week and tracked their progress individually achievedmore first-author publications.Drawing on past experience, the author has worked with undergraduate students, using team-based learning to improve their technical writing skills, particularly in lab reports and shortmemo writing [10], [11]. However, graduate students increasingly face the challenges
application, allowing them tomanipulate the 3D models by rotating them, zooming in to examine finer details, and slicingthrough cross-sections to observe internal reinforcement arrangements. This interaction aimed todeepen participants’ understanding of the spatial relationships within rebar configurations, whichare often challenging to grasp through 2D drawings alone.Upon completing the interactive session, each participant filled out a post-session survey toprovide quantitative feedback on their experience. The survey used a five-point Likert scale(ranging from 1 = Strongly disagree to 5 = Strongly agree) to measure participants’ perceptionsof the application’s impact on their understanding, engagement, and motivation in learningengineering
pre-college STEM programs seeking to adapt to the evolving landscape ofonline education. By creating an environment that empowers students to experiment, collaborate,and build confidence in their abilities, virtual STEM camps can play a crucial role in preparingthe next generation for success in technology-driven fields.References[1] R. Z. Lowe, A. Smith, C. Prout, G. G. Maresch, C. Bacot, and L. Sapp, "Taking STEMenrichment camps virtual: Strategies and reflections from quick pivot due to COVID-19," inProc. 2021 IEEE Integrated STEM Education Conf. (ISEC), 13 Mar. 2021. [2] R. Z. Lowe, A. Smith, C. Prout, G. Maresch, C. Bacot, and L. Murfee, "How a design-basedresearch approach supported the development and rapid adaptation needed to provide
certain statements, as well asseveral open-ended questions. For analysis, Likert scale responses were coded from 1 (StronglyDisagree) to 5 (Strongly Agree) to facilitate quantitative comparisons. The first survey wasconducted during a final poster session which was open to and attended by the general universitycommunity, as well as family and friends of senior design students. Student and sponsor surveyswere conducted after the conclusion of the course. Relevant feedback collected from thesesurveys is presented in the next section.ResultsThe poster session survey solicited level of agreement to following three statements, evaluatedon a 5-point Likert scale: • The team effectively communicated the problem they are seeking to solve and their
, A., Dhakad, S., Ganguly, S., Hogins, J., Jhang, Y. C., et al. (2021). Unity perception: Generate synthetic data for computer vision. ArXiv[Online]. https://doi.org/10.48550/arXiv.2107.0425913. Teed, Z., & Deng, J. (2020). Raft: Recurrent all-pairs field transforms for optical flow. in Comp. Vsn. – ECCV 2020 16th Eur. Conf., 402-419. https://doi.org/10.1007/978-3-030-58536-5_2414. Jain, R. (1983). Direct computation of the focus of expansion. IEEE Transactions on Pattern Analysis and Machine Intelligence, 5(1), 58-64. https://doi.org/10.1109/tpami.1983.4767345
hands-on tools, compared to traditional lecture-based classes where they oftenappear bored and sleepy.Introduction and motivationMost undergraduate engineering programs follow a traditional structure centered around lecturesand laboratory sessions. This format provides students with a theoretical foundation throughlectures, where concepts and principles are explained by instructors. Laboratory sessions, on theother hand, offer hands-on experience, allowing students to apply their theoretical knowledge topractical problems and develop essential engineering skills [1][2]. However, the increasingprevalence of digital distractions and the rapid pace of modern life have significantly impactedstudents' attention spans. Engineering education
Paper ID #45540A Cause-and-Effect Approach to Empowering Engineering StudentsDr. Mazen I. Hussein, Tennessee Technological University Mazen is an Associate Professor in the General and Basic Engineering Department at Regional University. His research interests include: Freight modeling and logistics, facilities planning and material handling, optimization and simulation modeling, production planning and control, reverse logistics and recycling, modern manufacturing systems, microalloying and mechanical behavior, teaching statistics and increasing the data analytics content in engineering curricula, and the impact of the
. Negative comments are generally associated with those students who feel theindividualized assessments add “stress” to the course, but with associated comments that theseassignments HAVE improved their focus on the experimentation and understanding of theoperations being studied.References[1] D. Lippman. IMathAS. Accessed: Nov. 7, 2024. [Online.] Available: http://www.imathas.com/[2] D. Lippman. “Welcome.” myOpenMath. Accessed: Nov. 7, 2024. [Online.] Available: https://www.myopenmath.com/[3] D. Lippman. “About Us.” myOpenMath. Accessed: Nov. 7, 2024. [Online.] Available: https://www.myopenmath.com/info/aboutus.php