tools and onlineplatforms provide new avenues for collaboration, research, and presentation. The continuousevolution of PBL reflects a response to the changing educational landscape and a recognition ofits effectiveness in preparing students for the complexities of the modern world.Project-based learning enables students to delve into real-world problems and wear the hat of aproblem solver. In the context of operations management, Project-Based Learning in OperationsManagement is instrumental in preparing students for the industry's challenges and demands. Itgoes beyond traditional teaching methods, providing a holistic and immersive educationalexperience that equips students with practical skills, problem-solving abilities, and a
chain systemscourse. Table 1 provides an overview of the entire creative writing component of the course.This paper focuses on Poems 2 and 3 along with Reflections 1 and 2.Table 1. Assignments for the creative writing component of the course. Contribution to overallAssignment Brief description course gradePoem 1 A poem about oneself 1%Poem 2 A poem about a concept related to deterministic inventory modeling 1%Reflection 1 Reflecting on one’s experience of writing Poem 2
design as one of his project assignments over the years, including industrial designaspects. However, through a collaborative effort, the project had to be modified to reflect the newaim. Thus, student groups were asked to design a product (possibly a fastener, a light fixture, or aconstruction toy) with 4-6 components based on the idea of biomimicking climbing plants. Thedesign was expected to have an obvious art component via use of industrial design, also includingaesthetics, colors, or movements. Students followed the steps of the product development processwith additional assignments being interjected into the regular project workflow. These assignmentsincluded a “Business Thesis Template” a document that defines the business idea or the
Recognition, and induction into the Honor Society of Phi Kappa Phi, placing her among the top 10% of Purdue Graduate students. Her academic journey reflects a commitment to advancing knowledge and contributing to technological innovation in XR control systems. Her professional aspirations include applying for an Assistant Professor position upon completing her Ph.D. This career trajectory aligns with her desire to leverage her accumulated experience and knowledge to mentor and guide emerging talents. A central component of her vision is inspiring and supporting aspiring scholars in pursuing academic and professional excellence, facilitating impactful change within our field.Dr. Farid Breidi, Purdue University, West
interdisciplinary approach was incorporated in the curriculum that involved studentsidentifying problems in existing products to create new solutions. This involved dissection of anexisting product, carrying out functional decomposition to understand the functional relationshipsbetween component parts, identifying gaps in the design, and bridging gaps in the designs by eitherimproving the design or coming up with a new design. Given that students carried out theseactivities in groups, they developed teamwork skills, improved their communication skills, andenhanced their critical thinking skills. A photovoice reflection survey and a set of open-endedquestions were used to evaluate the outcomes. Results showed that students were more motivatedto learn the
latter is consistent psychologist abilitieswith Feuerstein’s and Maturana’s ognitive Figure 1 - Learning outcomes‘ enhancement cycle and emotional change perspectives. Fortransformation to happen in a higher education setting, it is necessary to have certainconditions that allow cognitive and emotional transformation in students [26] [28].The second purpose is to mediate transformation. Based on Feuerstein’s Mediated LearningExperience theory and Maturana’s learning perspective, all interventions designed by ourteam have a mediator. The role of the mediator depends on the activity, which in any case isto promote self-reflection and critical
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
engineering course, were asked tocomplete two poems throughout the semester-long course. The students were asked to constructpoems around a concept, model, or topic covered in the course: the first poem was focused ondeterministic inventory modeling and the second poem was focused on stochastic inventorymodeling. After each technical poem writing assignment, students were asked to respond toseveral open-ended questions detailing their experience and attitude towards these creativewriting assignments. Data was collected during the semesters Fall 2022 and Spring 2023 and ofthe 84 total students over the two semesters, 64 consented to participate in the study. Theparticipant responses to reflection prompts were analyzed qualitatively using open and
identified inteaching CI strategies using VR is the ability to customize and adapt the learning scenarios to (1)suit diverse learning styles, skills levels, and areas of interest to meet the needs of our studentpopulation and (2) to reflect changes in industry practices or emerging technologies, ensuringthat students receive relevant and up-to-date experiences that is applicable across variousengineering disciplines and industries.Overall, these advantages of using VR in the classroom led to the creation of an interactivesimulation that was designed to support the teaching of CI strategies in two undergraduateengineering courses offered at the University of Kentucky during Fall 2023 and Spring 2024semesters. The next section of this paper will
It has been well established that for adult learning to occur, motivation and reflection must be present[19]. To achieve intrinsic motivation, the learner must have a sense of autonomy, competence, and afeeling of belonging [20]. Educators play a multifaceted role in promoting those needs by activelyfacilitating inclusive and engaging learning experience while tailoring their approach to meet the diverseneeds of adult learning, thereby promoting autonomy and competence[21]. When learners collaborate ona PBL assignment, intrinsic motivation can either be enhanced or disturbed. The determinant factors ofintrinsic motivation level in this case are self-evaluation, attitude of the learning about education, and theimportance of goals [19]. When
was a teachingphilosophy that students learn by doing and that should apply to project management. Bydefault, project management is an active learning exercise that involves a diverse group ofindividuals. The literature in project management education supports this underlying personalbelief. “Preparing students for professional practice is enhanced by the use of ‘authentic’ tasksand assessments that reflect the practices and outputs encountered in the profession” [1]. Inorder to be authentic, it needs to be a real executable project. The literature also speaks about thedisappointment with practitioners on the skills of students and that has been confirmed withadvisory boards in our college.In addition, students who took the previous version
]. Heart rate variability measures changes in heart rate over time,an indication of autonomic functioning. This variability in heart rate reflects the body’s ability torespond to changes in stimuli; a higher HRV indicates a balanced autonomic nervous system(ANV) that is adaptive to different environments, while a low HRV indicates an imbalancedANV. For individuals with anxiety, this means that the natural “fight or flight” response isoperating in overdrive, resulting in added stress [7]. Sensors used to measure heart rate typically use either Electrocardiography (ECG) orPhotoplethysmography (PPG) technology [7]. ECG relies on the measurement of electricalsignals on the skin's surface to measure HRV. The nerve and muscle cells, including
Management (EM), Industrial Management (IM), Engineering TechnologyManagement (ETM), and Operations Management (OM)) and 40 programs were in MechanicalEngineering (ME). The EM sample was retrieved from the ABET website list of EngineeringManagement related accredited programs. The ME sample includes institutions that conferred1,000 or more degrees in the years 2009-2021 based on the ASEE ‘Engineering by Numbers’report [17, 39].Analysis FrameworkWe considered seven components of the ABET student outcomes [37] that support the programeducational objectives and reflect professional skills sets: professionalism, ethics, oralcommunication, written communication, teamwork/collaboration, and leadership. Otherprofessional skills which do not fall in any of
solidreasons and a reasonable amount of evidence for their claims. In Round 2, the teams used thesame argument structure, but responded to the other team’s arguments. A classroom debate rubricwas used to assess the debates [17].Pitch PresentationIn this final project (paper and presentation), student teams were asked to assume the role of awork system designer and pitch an idea to perform work differently or improve current worksystem activities in any industry of their choice. This project did not just focus on advancedtechnology such as robotics or AI and how it would change work, but also on new work practicesand policies that AI might entail in future work systems. The project intended to make studentscritically think and reflect about the
the 1,656 paths leaving engineering via Industrial, 45.7% of them terminated inSeries 52 Business (Table 5). While Business was also the overall most common non-engineering destination for transfer paths which started within engineering (19.6% of suchpaths), the list of the next highest frequency destinations (Computer Science, 12.7%; PhysicalSciences 7.4%; General Studies, 6.9%; Biomedical / Biological, 6.6%; Social Sciences 6.2%;Engineering Technologies, 6.2%) is not reflected when considering only Industrial.Table 5. Non-engineering Destinations for IE Origin (n=1,656) CIP Series Origin Percent 52 Business 45.7 15 Engineering Technologies 7.8 45
numerous educators and academics, but resultsabout its impact on learning have been mixed, partly because of a dearth of data [11]. Forcomprehensive, long-term learning, Kolb created a four-step model learning cycle. The steps areknown as active experimentation, reflecting observation, abstract conceptualization, and concreteexperience (doing) (using the ECP approach) as shown in Figure 2. It is anticipated that studentswill retain more information after taking courses that follow all these procedures [12, 13].Students directed through the learning cycle are also exposed to more excellent educationalopportunities and chances for individual thought and self-discovery.Fig.2 Kolb’s Learning Theory3 Methodology3.1 The Use of Experimentation and
expectations and output reflects expected information. • Data simplification: Replace some variable input data with fixed values to predict system behavior under controlled conditions. • Model simplification: Run a simplified model. Examples of simplification include: a model while its resource does not have break times or failures, or its queue capacity is unlimited and there is no balking. • Extreme scenario Testing: Test the model under extreme conditions, like significantly altered arrival times or service times, to identify potential weaknesses. • Animation review: Observe the model's animation for visual confirmation of expected behavior and entity flow. • Long-term run analysis: Run the model for an
efficiency [9]. Integrating Lean SixSigma further bolsters comprehensive process optimization, reflecting the ongoing evolution ofquality engineering practices [10].The dynamic nature of today's industrial operations demands a workforce that is theoreticallyknowledgeable and practically proficient in applying quality engineering principles [11]. Withthe increasing complexity of manufacturing processes and the integration of new technologies,effectively utilizing quality tools has become crucial for ensuring efficiency, reducing waste, andmaintaining competitive advantage [12]. Moreover, integrating quality engineering principles iscritical to achieving operational excellence and customer satisfaction [13].In response to this need, the significance
American universities, for example, are excellent references in investmentsin the education of their engineering courses, as well as in modern teaching and adequateinfrastructure [2].Considered by different authors as one of the best ways for students to acquire complete andrealistic knowledge, active learning is another way of teaching. This approach is student-centered, ensuring that professors are professionals who guide students in this process [3],[4]. The involvement of the whole class increases from active learning strategies, making itpossible to develop an opportunity to reflect on learning in a set of solutions to real problems[5].The different active learning strategies also guarantee the development of professional skillsthat students
. Pasmore, C. Francis, J. Haldeman, and A. Shani, “Sociotechnical systems: A North American reflection on empirical studies of the seventies,” Hum. Relat., vol. 35, no. 12, pp. 1179–1204, 1982.[7] S. Assegaff and A. R. C. Hussin, “Review of Knowledge Management Systems As Socio- Technical System,” p. 6.[8] E. Molleman and M. Broekhuis, “Sociotechnical systems: towards an organizational learning approach,” J. Eng. Technol. Manag., vol. 18, no. 3–4, pp. 271–294, Sep. 2001, doi: 10.1016/S0923-4748(01)00038-8.[9] T. Reiman and P. Oedewald, “Assessment of complex sociotechnical systems – Theoretical issues concerning the use of organizational culture and organizational core task concepts,” Saf. Sci., vol. 45, no. 7, pp. 745
to the number oflesson plans (out of nine) that reflected the specific data analytics topic. It can be seen that datacollection, data visualization, and spreadsheet modeling are the common topics chosen, and theyare well-connected to industrial engineering curriculum. It is not a surprise that the relatedcollege courses are mainly in statistics, basic modeling and computing classes, and advancedclasses related to data analytics.Conclusion and Future WorkIn this paper, we presented a descriptive statistics analysis of the learning modules created by theparticipating teachers through the AR-DATA program. We summarized the standards theteachers have used for their lesson plans as well as the common ideas and topics of the learningmodules. It
lacks detail and only explains the client’s problem in the mostgeneral terms: [Midterm submission] Multinational quick service restaurant and coffee shop [Client A] aims to improve their outdated back of the house storage model for restaurants around the country to reflect current offerings. This model needs improvement because [Client A] does not believe they are building enough storage in new restaurants to accommodate the restaurant’s size and sales. They also want to ensure the back of house takes up necessary space - they want to avoid over allocating storage in a restaurant that does not need it, and conversely want to ensure they do not under allocate storage in restaurants that may need to
. Sci. Educ., vol. 39, no. 6, pp. 742–760, 2017.[12] L. Curry and M. Docherty, “Implementing competency-based education.,” Collect. Essays Learn. Teach., vol. 10, pp. 61–73, 2017.[13] R. M. Crespo et al., “Aligning assessment with learning outcomes in outcome-based education,” in IEEE EDUCON 2010 Conference, 2010, pp. 1239–1246.[14] S. Adam, “An introduction to learning outcomes.” article B, 2006.[15] J. M. Williams and others, “The engineering portfolio: Communication, reflection, and student learning outcomes assessment,” Int. J. Eng. Educ., vol. 18, no. 2, pp. 199–207, 2002.[16] G. Lesmond, S. McCahan, and D. Beach, Development of analytic rubrics for competency assessment. Higher Education Quality