community projects and their CV. Atotal of 42 students applied to the program and the applicants were interviewed and then the top19 applicants were selected. These 19 students comprised of 14 undergraduate and 5 high schoolstudents (see Figure 1) from a range of majors such as environmental studies, computer science,product design, philosophy, politics, and economics. 26% 74% Undergraduate Students High School Students Figure 1: Program participants by educational levelThe selected students were given detailed
conduct the DACE process,employing sustainable building design software tools as computer models for the experiments. Inthis paper, we propose and illustrate the DACE process as a training framework for noviceresearchers who are brand new to research. The DACE process provides a general set of researchtools, consisting of four steps: (1) Calibration of the computer model(s) for the application ofinterest, (2) Design of experiments to organize a set of computer model input parameter settings,(3) Execution of the computer model(s) to generate performance metric outputs, (4) Analysis ofthe input and output data. For sustainable building design, the performance metric outputsrepresent dimensions related to the pillars of sustainability: people
supportsustainability-focused projects. The evolution of the IE curriculum at QU reflects a commitmentto producing engineers equipped to address the complex challenges of a sustainable future.IntroductionThis work-in-progress manuscript discusses ongoing efforts to integrate a strong focus onsustainability and societal impact into the Industrial Engineering (IE) program within the Schoolof Computing and Engineering (SCE) at Quinnipiac University (QU).QU, a private institution located in the northeastern United States, boasts a comprehensiveacademic structure encompassing nine distinct units, including SCE. Notably, sustainabilityfeatures prominently in QU's strategic plan [1][2]. A dedicated sustainability committee drivesvarious campus-wide initiatives, and
course and became more engaged with the projects they were involved in. These resultsalso showed that employing an interdisciplinary approach to teaching an introductory CADmodeling course can have a positive impact on the students’ learning experience.1 IntroductionModern manufacturing processes, computer-aided design and modeling tools are increasinglyintegrated to provide features that enhance productivity in manufacturing and design. CADmodeling and design software applications are becoming increasingly necessary within industry,academia and even among freelance designers involved in creating new products and processes.Traditional instructional approaches in CAD and computer aided engineering (CAE) relatedcourses provide fundamental
students at the epicenter of their learning journey[1][2]. PBL's roots can be traced back to the mid-20th century with the ideas of educationalphilosopher John Dewey. Dewey advocated for learning through experience and hands-onactivities, emphasizing the importance of connecting classroom knowledge to real-worldapplications [3]. In the 21st century, PBL has become increasingly integrated into educationalreform efforts globally. The emphasis on 21st-century skills such as critical thinking,communication, collaboration, and creativity has fueled the adoption of PBL as an effectivemethodology to develop these competencies [4]. The widespread availability and use oftechnology in education has further facilitated the implementation of [5]. Digital
data drives decision-making.The datasets used in this paper were not altered or transformed to fit the multiple linearregression model better. However, the insignificant features can become significant if a largerdataset is used, the number of features is increased or decreased, data transformation isperformed, and an AI model other than linear regression is used. However, to be aware of abalanced approach in courses that utilize AI algorithms is recommended.References[1] Kumar, V., & Minz, S. (2014). Feature selection: a literature review. SmartCR, 4(3), 211-229.[2] Li, J., Cheng, K., Wang, S., Morstatter, F., Trevino, R. P., Tang, J., & Liu, H. (2017). Featureselection: A data perspective. ACM computing surveys (CSUR), 50(6), 1-45.[3
discussimplications of such courses for our engineering students in future work systems.1. IntroductionTo design future work and work systems, and to succeed as workers in future work systems, thenext generation of engineering professionals require not only the engineering fundamentals weteach today, but also an awareness and appreciation of future work systems. This includes anunderstanding of how future work and work systems will look like and function for workers,what knowledge and skills future workers will need, and how organizations can achievedifferentiation and competitive advantages by embedding innovation and entrepreneurship intowork systems. Research suggests that cultivating certain future-ready skills are crucial for bothfuture engineering
gain profound insights into these tools, preparing them to excel as qualityengineers. This paper describes how the hands-on activities embedded within the Boot Campplay a pivotal role in shaping the students' learning experience. Pre- and post-surveys enable usto gauge knowledge growth and the confidence to apply quality engineering principles. In aconstantly evolving industrial landscape, this Quality Engineering Boot Camp could be an idealsetting to empower participants with the skills and knowledge needed to excel as quality experts.1 IntroductionQuality engineering is integral to modern manufacturing and service industries, deeply rooted inthe foundations of industrial and manufacturing engineering [1]. Organizations must maintainhigh
engineeringeducation by exploring the application of VR technology to support educating the nextgeneration of engineers.KeywordsVirtual Reality, Engineering Education, Continuous Improvement, Simulations, ImmersiveLearning, Problem Solving Skills, Critical ThinkingIntroductionContinuous improvement is a cornerstone of engineering practice [1], particularly inmanufacturing, where optimizing processes and enhancing quality are paramount. Continuousimprovement (CI) in engineering is defined as a method of identifying and implementing small,incremental changes in processes over time [2]. The CI methodology is desired withinmanufacturing organizations because it can lead to significant improvements in efficiency,quality, and sustainable cost reduction [3
, enjoyment, andimmersion. The proposed methodology offers educators and practitioners a valuable avenue forenriching Lean Manufacturing learning experiences, with implications for broader applications.Furthermore, the study suggests the potential extension of such VR environments to otherengineering courses, emphasizing the importance of thoughtful VR tool design in improvinglearning outcomes.KeywordsVirtual Reality, Higher Education, Educational Innovation, Lean ManufacturingIntroductionIt is foundational for Lean Manufacturing to sustain continuous improvement with workforcecooperation and involvement [1]. When Lean is referred to as an improvement toolkit, butleaving apart the human factor, it is not possible to achieve a sustainable growth of
. Preliminary results indicate that the addition of formative assessments havehelped students better communicate the problem and solution to a wider audience in their projectdeliverables. A revised instructional model is presented, along with future evaluation plans.IntroductionAs engineering students move into the workplace, their success depends on their technical skillsand ability to communicate. Studies have shown that based on their position within anorganization, engineers may spend up to fifty percent of their time writing [1]. While writing hasbeen presumed to be part of an engineer’s job, it has not always been considered a centralcomponent of the engineering profession [2], [3]. The role of writing in engineering has inspiredseveral studies
Test AnxietyAbstract Test anxiety is a prevalent psychological issue among higher-education students,particularly those seeking degrees in STEM (Science, Technology, Engineering, andMathematics) [1]. Test anxiety is an adverse emotional reaction when faced with a testingcircumstance or comparable evaluative atmosphere. Numerous studies on the impact of testanxiety on STEM students' academic performance have been undertaken. Understanding thecomplex link between test anxiety and academic achievement is critical for developing evidence-based solutions to help students succeed in STEM fields. Despite substantial research on collegestudents' test anxiety, there are major gaps in the literature, particularly in the context ofengineering
the deployment of a specializedGPT (Generative Pre-trained Transformer) tailored to the specific needs of multidisciplinary teams. Aframework for Gen AI literacy and deployment and an evaluation rubric to quantify and assess theefficacy of human-Gen AI collaboration are proposed. Figure 1 shows the flow of the work presented inthis paper. The following sections of this paper are organized as follows: Literature Review, TDCRModule, Gen AI Literacy Framework, Project Pal GPT, Human-AI Collaboration Evaluation Tool, andConclusion Figure 1: Flow of TDCR module and Gen AI integration in curriculum2. Literature review 2.1. Project-based learning (PBL) Project-based learning (PBL) has been shown to be effective in increasing
(SUS) surveyand collect feedback from industry experts.IntroductionWith the rise of warehouse demand, the industry adopts models to counteract e-commerce surges,reduce inventory, and enhance response time. Effective warehousing models can optimizeinventory purchases, cut transportation expenses, and speed up delivery. In today’s businesslandscape, warehouses are vital for modern supply chains and business success, but developingnew layouts demands substantial capital, including construction costs (up to $950 per squaremeter), operational expenses, and safety systems [1]. Technologies such as augmented reality canoffer solutions and support warehouse optimization [2].Augmented reality (AR) is a technology that merges the physical and digital
shift in pedagogical practices among industrial engineering educators, ultimatelyempowering the next generation of industrial engineers to drive innovation and progress in theindustry.IntroductionCuriosity is a primary motivator of learning, invention, and innovation. Curiosity is essential inengineering education for fostering critical thinking, problem-solving, and lifelong learning skillsrequired to face 21st-century issues [1], [2], [3]. Lindholm [4] posited strongly that modernity isfundamentally rooted in curiosity, which serves as a catalyst for knowledge acquisition, freshperspectives, and creative thinking in both individuals and groups. In the opinion of Pluck andJohnson [5], curiosity is an aspect of intrinsic motivation with great
discussion on additional applications of theLogical Model, such as analysis and design of experiments, will be presented in a later paper.1. Introduction and literature reviewLike any scientific study, a simulation project involves a defined sequence of steps. The processbegins with establishing a clear problem statement and study goals, leading to actionablerecommendations to support decision-making. Crucially, after model development, simulationstudies require debugging, verification, and validation. However, some students struggle todistinguish between these terms.Debugging entails meticulously examining a model for errors. This encompasses syntax issues aswell as semantic or logical errors that can lead to misleading output. Fortunately
, as more than 94% showed interest in learning through MRmodules.Keywords: mixed reality, spatial visualization, motivation, learning1. IntroductionSpatial visualization, also known as spatial-visual ability, is a compound operation that integratesvisual perception and visual-mental imagery, allowing individuals to mentally visualize andmanipulate three-dimensional (3D) objects [1]. This operation is achieved through threeintegrated processes: inspection, transformation, and maneuvering of images. Combining these © American Society for Engineering Education, 2024 2024 ASEE Annual Conferencethree processes allows for depicting the mental manipulation of objects in a 3D space
physical SIGMA lab, aims to trainstudents with cutting-edge technologies and manufacturing processes. This course projectfocuses on optimizing users’ workforce training experience, one key component of humanfactors engineering research in Industrial Engineering (IE). Including cutting-edge technologylike additive manufacturing allows IE students to explore improved and advanced opportunitiesfor efficient and productive manufacturing.Virtual Reality (VR) is a technological innovation that immerses individuals into a virtualenvironment (VE), creating a sensation of presence despite their physical absence [1, 2]. Overthe past few decades, fully immersive virtual reality (VR) has gained popularity as a method oftraining and collaboration. In recent
, extrinsic motivation, mathematical modeling.IntroductionThe exploration of creativity and the interworking of human creativity through a research lensbegan in the eighteenth- or the nineteenth century, and scientific research of creativity hasaccelerated since the middle of the twentieth century [1, 2]. To date, the exploration of creativityin an educational environment, and the limitations of teaching, learning, practicing, and assessingcreativity in such settings, have not been adequately assessed or understood, but the relationshipis beginning to be conceptualized in various ways [3].As an attempt to incorporate creativity training into engineering education and to enhance thecreative thinking skills in undergraduate engineering students, poetry
wanted to ensure that students develop skills in not only project management but alsoworking in teams. The literature shows that Project Management Education needs to include apractical, hands-on project where students can use the theory they are learning to plan, manage,and execute a project with real stakeholders. Van der Horn and Killen found in their research inproject management education that courses in project management require more than justknowing the theory but rather having “lived experiences” and challenges for effective learning[1]. In addition, input from the university’s and department’s advisory boards demand thatstudents have project management skills that they can employ straight out of school.As part of redefining the course