analytics related modules are incorporated intheir current teaching materials. Through the analysis, we seek to explore how high schooleducation in Arkansas is preparing students for next-generation workforce needs in analytics. Inaddition, we perform a descriptive statistics analysis of the learning modules created by theparticipating teachers through the AR-DATA program. We summarize the standards the teachershave used for their modules as well as the common ideas and topics of the learning modules.Through connecting the modules in different subject areas, we also analyze the possibilities ofcollaborative lesson plans that teachers in different fields can coordinate and teach together.Finally, we examine related topics in the post-secondary
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
capabilities, teams can receive personalized recommendations andinsights tailored to their specific project needs. Moreover, Gen AI's ability to analyze team dynamics andanticipate potential conflicts equips educators and students with invaluable resources for fostering aharmonious working environment conducive to creativity and productivity.Central to this paper is the development of the Team Dynamics and Conflict Resolution (TDCR) module,which provides students with the needed knowledge and hands-on skills to form project teams, promoteteam dynamics, and successfully resolve conflicts. This paper provided a detailed plan to integrate the TDCR module in any given course plan.While the TDCR module is a standalone module, the author proposes
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
-term objective of the team is to complete the functionality to provideautograding of individualized datasets and test it with a beta test team consisting of studentvolunteers. Assuming successful completion of that testing, we plan to implement it “live” witha predictive analytics class in the fall semester of 2023 and then make it broadly available for useby other instructors.A major planned enhancement to the generation of individualized datasets involves expandingthe randomization beyond the residuals term to the randomization of the generative modelcoefficients.Also planned is expanded dataset functionality to include categorical response vectors,generalized linear models (primarily Poisson regression), and the incorporation of
problembeing addressed, a “Customer Discovery Interview Planning and Preparations Form” to getfeedback on the proposed idea by surveying potential customers, followed by “the Patent SearchAssignment Form” to investigate the patentability of the business idea. The students were alsotasked to reflect on their effort by completing a “Metacognitive Reflection Assignment” on threedistinct aspects: entrepreneurial mindset, bio-design, and art. Three groups were formed and threedesigns were selected by these groups, a climbing plant shaped decor that diffracts natural sunlight,an LED garden sign used in lighting a garden during nights to mark poison ivy spots, as well as aground stake with a climbing plant inspired mechanism aiding its anchoring function
solutions in global, economic, and societal contexts, d. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives, e. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions, and f. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies.Note that all ABET student outcomes except 3.1 (https://www.abet.org/wp-content/uploads/2023/01/23-24-EAC-Criteria_FINAL.pdf ) can be assessed in the course. However, thisassessment was not done since
a more leadership focused role. This role included the responsibilities of planning and managing weekly reviews and managing edits to meet the over-seeing professor’s, Dr. Sabahattin Gokhan Ozden, expectations for the paper. He has since moved in to full-stack web development for the continuation of the development of WARP.Khoa Nguyen, Pennsylvania State University Khoa Nguyen is a senior at Penn State Abington. He major in Computer Science and will be graduating in Fall of 2024. He is currently working under Dr. Sabahattin Gokhan Ozden for the AR Warehouse project. His contribution in the project are the AR web application.Kevin Skinner, Pennsylvania State University Kevin Skinner is a senior at Pennsylvania
engage with other alternatives rather than close the door [22, 23]. The rich picture has been used in the Systemic Lean Intervention process, which helps identify operational issues effectively [24]. Figure 3 exemplifies a rich picture in which the main element is preventive maintenance. Figure 3: Kaizen i-Semester rich picture example for preventive maintenanceObjectives 4. Defining objectives and KPIs: Once the problem has been identified with its main causes, the Kaizen team establishes the project objective and the target of the KPI. Such a target is approved jointly with the team and the Kaizen Champion. The Deming Plan-Do-Check-Act (PDCA) cycle is applied to present the project improvements. For more
. ©American Society for Engineering Education, 2024Methodology to implement project-based learning (PBL) within the context of Operations Management.AbstractOperations Management represents a crucial discipline intersecting engineering and business,dedicated to refining processes, optimizing resources, and streamlining systems to elevate overallefficiency and productivity. Traditionally, this course has been delivered through lecture-basedclasses heavily grounded in mathematical models encompassing forecasting, inventorymanagement, scheduling and operations planning, material requirements planning, andmanufacturing resource planning. In pursuit of elevating the students' active learning andknowledge retention, we
on the developmentof the ability to identify the relevant problem parameters and evaluate the optimal order quantity,the associated average annual total cost, and perhaps the optimal inventory cycle length byapplying the associated formulas for the economic order quantity model. In contrast, conceptuallearning in this context focuses on the development of an understanding of the (i) meaning,implications, and limitations of the basic modeling assumptions of the economic order quantitymodel [e.g., known and constant continuous demand rate, infinite planning horizon, and knownand constant cost parameters] in a real-life problem context. While the former can be developedby problem-solving, the latter can be achieved by inviting the student to
completed a lesson plan incorporating aspects of what they learned and presentedwhat they learned to a panel of stakeholders. Over the next year, the teachers were encouraged to stay connected with the facultymentors, and if they wanted to stay part of the research team, they were welcome to help whereable. The teachers could help write research papers, attend conferences, or whatever could helpadvance the project. During the school year, teachers were observed twice as part of theassessment of the RET program. They taught the prepared lesson to students, and studentscompleted surveys regarding their STEM understanding, one prior to the lesson and one after thelesson was completed. UTA also helped teachers provide engaging and interactive
development. ©American Society for Engineering Education, 2024Awareness of Feature Importance in Artificial Intelligence AlgorithmsAbstract: Industrial engineering graduates need to be familiar with artificial intelligence (AI)due to its transformative impact on modern manufacturing and production processes. AItechnologies, such as machine learning and predictive analytics, optimize resource allocation,enhance efficiency, and streamline operations. Proficiency in AI equips graduates to innovate,automate tasks, and address complex industrial challenges effectively. Predictive models aretypically taught in one or more Industrial Engineering courses, such as Operations Planning andControl at Colorado State University Pueblo
as an academic plan [21]. However, to assess student learning during theirundergraduate studies, we decided to incorporate the concept of quality as transformation.Using a transformation view to promote quality enhancement in our quality assurance modeldoes not only have the purpose of evaluating students’ advancement during their academictrajectory, but also of improving or boosting their advancement when necessary. What wepresent in this section is the students’ learning assessment element from our holistic qualityassurance model. For purposes of this paper, we will call the beforementioned evaluationsection as “learning outcomes enhancement cycle”.Quality as transformation. Harvey & Green explain that “the transformative view of
system is necessary. The authors have used several 6-hourtable-top simulations to teach process improvement and engineering courses at Northeastern,George Washington, and Loyola Marymount universities. The pandemic forced a naturalexperiment. On-line versions of the simulations were created in commercially available softwarewhich recreated the experience of the in-person simulations directly, with almost all actions,lessons, discussion and planning sessions preserved. More than 120 students participated in theon-line simulations in 2020 and 2021. Before and after the pandemic (and during it, in hybridclasses), a large “control” group of students participated in the in-person simulations. Extensivedata was collected including self-reported
operative units of the competencies. These learning outcomesexplicitly define what a student is expected to know, understand, demonstrate, or accomplishby the end of a learning period [11] - [14]. According to Williams [15], defining the learningoutcomes for an engineering undergraduate program is the critical first step in revising thecurriculum, developing courses, and creating an assessment plan. Learning outcomes can be used by faculty to assess students' learning progress throughoutthe program and should be defined for each competence. Evaluation rubrics have beenadopted to measure the various levels of competence development. Rubrics are valuable toolsin student assessment and help indicate students' learning level for the learning
Education. Dr. Pennathur’s research interests are in human factors engineering and engineering education. In particular, he has conducted research on functional limitations in activities of daily living in older adults. The National Institutes of Health, and the Paso del Norte Health Foundation have funded his research on older adults. The US Army Research Laboratory has funded Dr. Pennathur’s research on workload assessment. Dr. Pennathur has also been recently awarded two grants from the National Science Foundation in Engineering Education. In one of the grants, he is modeling how engineering faculty plan for their instruction. In a second grant, he is developing a model for institutional transformation in engineering
, colleges could better integrate other supportstructures such as friends or family into programs and activities they plan (4) Finally, one couldargue that the barriers themselves could be directly addressed to improve student experiences.While this is true and needed for sustaining systems improvements over the long term, utilizingcapacities and key enablers that already exists and works for the students might serve as a goodfirst step to ignite the process of systems-based improvements.The capabilities and deficiencies of the college in its goals, policies, processes, programs (thetechnical system), and how well the technical system in the college aligns with institutional goalsand environments directly impact the college’s success in recruiting
new procedures, plan for optimal methodologiesor pursue best practices. This was new territory for everyone.After the COVID-19 pandemic slowed, the hospital maintained the visual management systemsimplemented during this project to attempt to ensure a balance of room allocations even as roomassignments were more consistent with the 3-room assignment pre-COVID standards. TheCOVID suite of rooms was maintained, requiring the maintenance of the newly created supplyarea and restocking system by mid-shift nurses. As volumes decreased, charge nurses noted thevalue of training nurses of more efficient techniques to increase the speed of care for all patients.This not only assists with patient satisfaction but also helps to prepare for future times
of essential skills crucial for success in an increasinglyinterconnected global environment. These skills encompass social and personal responsibility,critical thinking, visualization, decision-making, planning, creativity, cross-culturalunderstanding, strong communication skills, effective presentation, interpersonal competence,and the ability to discern when and how to select and utilize technology and tools that are mostsuitable for a given task [15].Hence, the purpose of integrating technology into the teaching and learning process is to enhanceproductivity, improve the effectiveness of current practices, and introduce pedagogical changesthat benefit education. This incorporation of technological tools fosters increased
understanding at each phase in thecourse. With the addition of the writing instructor, the IE instructors can better focus on andassess the technical descriptions of the problems and proposed solutions. Students also noted thatthe writing instructor was a helpful resource. For example, in the course evaluations one studentnoted that the writing instructor, “was really helpful and definitely impacted our written piecespositively.” Another student noted the writing instruction “really encouraged me to apply theskills in other writing. I realize that I am more critical about my writing and more thorough whenproofreading.” A third student said the writing instructor “made writing easier.”Moving forward, we plan to continue to examine summative assessments
that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors. An ability to communicate effectively in both oral and written forms. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.Figure 1 shows a visual summary of the different themes discussed in this study. Figure 1: EM, STEAM and Bio-inspired integrated curriculum thematic findings4.2 Lessons LearnedWhile students expressed satisfaction in the skills learned using the new approach that
tool to develop spatial visualization skills forstudents throughout engineering drawing courses [18]. The ILMS application introducedstudents to the fundamentals of engineering drawing education, e.g., isometric and multi-viewdrawings, sectioning layouts, dimensioning tools, and orthographics. It comprised three mainsubsystems: preliminary level assessment test, interactive tutorials, and content managementconfiguration, allowing instructors to track the students’ progress. Researchers conducted a two-year study on engineering graphics students at the University of Burgos in Spain to test theeffectiveness of ILMS compared to traditional learning methods [19]. They designed 55 surveymodules using the questionnaire planning criteria in [20], [21