152 research outputs found

    A Retention Model for Community College STEM Students

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    The number of students attending community colleges that take advantage of transfer pathways to universities continues to rise. Therefore, there is a need to engage in academic research on these students and their attrition in order to identify areas to improve retention. Community colleges have a very diverse population and provide entry into science, technology, engineering, and math (STEM) programs, regardless of student high school preparedness. It is essential for these students to successfully transfer to universities and finish their STEM degrees to meet the global workforce demands. This research develops a predictive model for community college students for degree completion using the Mahalanobis Taguchi System and regression. Data collected from a Midwest community college over a five-year period in three specific associate degree programs will be used for the study. The study identified 92 students that completed a STEM degree within three years, while 730 students were not able to complete the degree within that period or at all. The research illuminates specific areas of concern related to community college students and better informs transfer institutions about this important sector of transfer students. Especially revealing is the important predictive factors traditionally found in research for STEM retention had very low correlation for this set of community college students. This research reinforces the need to investigate community college students more closely and through a different lens

    Lean six sigma journey in a UK higher education institute:Challenges, projects, and key lessons learned

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    A Systematic Review of Technological Advancements to Enhance Learning

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    Assessing student learning styles and incorporating thought-provoking activities has been a focus of research for years. Virtual technology and social media are transforming traditional classrooms into training spaces that can be tailored for individual learning patterns and personalized for different skill levels. These technological tools are not only revolutionizing the conventional lecture-based classroom but also beginning to incorporate options such as flipped and blended classrooms. Students in these nontraditional settings are given additional hands-on experience that allows them to become immersed in a variety of subjects. Flipped classrooms in particular use class time effectively by challenging students to prepare prior to class. In return the allotted time provides a place for students to work through problems and encourage cooperative learning. Furthermore, social media is being used to increase subject interest and boost class attendance by improving instructor and student interactions. These techniques challenge students enough to maintain focus while remaining within their capabilities to preserve student curiosity. Learning enhancement using these new teaching styles was assessed through surveys provided at the beginning and end of each experiment. The studies sampled students from a variety of backgrounds and skill sets including military, medical, and college students. Alternative and cost effective approaches are revolutionizing learning to help improve each student\u27s motivation, concentration, and confidence

    Lean Six Sigma Journey in a UK Higher Education Institute: Challenges, Projects, and Key Lessons Learned

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    Lean Six Sigma is a powerful methodology for achieving process efficiency and effectiveness resulting in enhanced customer satisfaction and improved bottom line results. Although a number of manufacturing and service organizations are utilizing the power of this integrated methodology, Higher Education Institutions have been slow to introduce and develop this process excellence methodology. The purpose of the paper is to critically evaluate Lean Six Sigma as a powerful business improvement methodology for improving the efficiency and effectiveness of Higher Education Institutions. The paper will explore the fundamental challenges and critical success factors encountered with the introduction and development of Lean Six Sigma in administration at a Higher Education Institution based in Scotland. The paper also illustrates examples of the type of projects completed by the staff members at the institute as part of the Lean Six Sigma journey. The final part of the paper reveals some of the key lessons learned from the projects as well as the future directions of the journey. This paper makes an attempt to remove the myth that Lean Six Sigma is confined to manufacturing. It also demonstrates through relevant existing literature and authors\u27 experiences that Lean Six Sigma is equally applicable to public sector organizations and, in particular, Higher Education Institutions. Although Lean has been adopted by a few Higher Education Institutions in the UK and abroad, very few Higher Education Institutions have adopted the integrated Lean Six Sigma approach for waste reduction and variability reduction, which leads to superior performance and enhanced student satisfaction

    Effective Use of Process Capability Indices for Supplier Management

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    Process capability indices were originally invented to enable an organization to make economically sound decisions for process management. Process capability is a comparison of the voice of the process with the voice of the customer. Current practice is to use Cp and Cpk regardless of the validity of the underlying assumptions necessary for their use. Even if all necessary assumptions are satisfied, important problems can be missed if these indices are the sole process evaluation examined. Customer-supplier axioms are introduced to motivate more useful process evaluations and foster long-term harmonious relationships. This paper explores the alternative capability indices Cpm, Cpmk, Cjkp, Cθ, and Cs and loss function approaches including Taguchi\u27s unbounded quadratic loss function and the multivariate upside-down normal loss function. Illustrative case studies are presented

    “Rooming the Patient” vs. “Moving the Patient

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    Healthcare is coming under ever increasing scrutiny for cost, quality, safety, and patient satisfaction. This paper compares two operational models (“rooming the patience” vs. “moving the patient”) against productivity, privacy, user satisfaction, and other performance measurements. Varying risk factors for patient populations ranging from infants to geriatrics and medical specialties from mental health to orthopedics are addressed for both models. In the first operational model after checking-in the patient is escorted to an examination room and waits as various caregivers (nurses, doctors, clerks, etc.) come and go from the exam room. In the second model the caregivers work from a specific location and the patient moves between the waiting room and these caregiver\u27s locations (reception desk, office/exam room, scheduling desk, etc.) and back to the waiting room multiple times. The paper concludes that there are advantages and disadvantages for each model. The best model depends on both the patient type and care being provided. In some situation there are conflicting results depending on the priority of productivity vs. service level. Regardless of the situation, human factors should be an important consideration in any healthcare decision

    Quality Function Deployment in Continuous Improvement

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    Applying the Mahalanobis-Taguchi System to Vehicle Handling

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    The Mahalanobis-Taguchi system (MTS) is a diagnosis and forecasting method using multivariate data. Mahalanobis distance (MD) is a measure based on correlations between the variables and patterns that can be identified and analyzed with respect to a base or reference group. The MTS is of interest because of its reported accuracy in forecasting using small, correlated data sets. This is the type of data that is encountered with consumer vehicle ratings. MTS enables a reduction in dimensionality and the ability to develop a scale based on MD values. MTS identifies a set of useful variables from the complete data set with equivalent correlation and considerably less time and data. This article presents the application of the MTS, its applicability in identifying a reduced set of useful variables in multidimensional systems, and a comparison of results with those obtained from a standard statistical approach to the problem

    Using Social Networking Game to Teach Operations Research and Management Science Fundamental Concepts

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    This paper presents our experience using the popular game FarmVille by Zynga® to teach the fundamentals of linear programming and integer programming concepts to undergraduate students in an introductory operations research course. FarmVille is a popular game within the social networking website Facebook®. A month-long contest was introduced amongst the students with the goal to be the best individual farmer by striving to reach high levels of revenue, experience, and aesthetic appeal of their own unique farm. The contest is to demonstrate the concepts of problem formulation, solution methods, multiple and competing objectives, implementation of policy, and reformulation. The students were surveyed at the beginning of the semester to gain insight into their perceptions of the course. The students were also surveyed regarding the FarmVille Challenge, to gauge the effectiveness of the pedagogy and students\u27 opinions of the hand on approach. The paper demonstrates through surveyed results that the students favored this instruction. The students surveyed agree that this was an engaging and thought provoking exercise and saw the true application of multiple key fundamentals of operations research

    What New Faculty Need to Know, But Don\u27t Know to Ask

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    A smooth transition to life at an academic institution and the surrounding community is essential to the professional careers of new faculty members. The transition begins during the hiring process and startup package negotiations. Once at an institution, aspects of academia including teaching, proposal writing, and the tenure process inevitably generate issues and concerns for new faculty members. Research has shown that mentoring new faculty members early in their academic career can have significant impact on professional success. This is especially true at a research-based institution where the demands of funded scholarship add an extra level of complexity. A survey was conducted of faculty members at Missouri University of Science & Technology (Missouri S&T) in their first three years of a tenure track appointment to determine areas of concern for new faculty members. This paper presents the survey results, discusses the issues raised by the survey, and makes recommendations for effective mentoring relationships. Specific questions for new faculty members discussed in this paper include: What to look for in a mentor? What to consider in selecting where to submit papers? When to say yes and when to say no to service? Where to begin the hunt for research funding? What are quality resources for teaching? The paper also provides insight to mentors relative to junior faculty members\u27 concerns. This paper evaluates issues that are critical to forming effective mentoring relationships. Guidance offered provides value to mentors in understanding which areas are of greatest concern to new faculty. It provides information to proteges as well in determining key characteristics of an effective mentor
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