Download or read book The Development of a Predictive Model for One year Freshman Retention Rate written by Huey W. Antley and published by . This book was released on 1998 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Development of a Predictive Model for First year Student Retention at Mercyhurst College written by Marc Gattie and published by . This book was released on 2009 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Resources in Education written by and published by . This book was released on 2001 with total page 764 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Predictive Model for Freshman Retention written by Gary R. McDaniel and published by . This book was released on 2000 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Technological Developments in Education and Automation written by Magued Iskander and published by Springer Science & Business Media. This book was released on 2010-01-30 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological Developments in Education and Automation includes set of rigorously reviewed world-class manuscripts dealing with the increasing role of technology in daily lives including education and industrial automation Technological Developments in Education and Automation contains papers presented at the International Conference on Industrial Electronics, Technology & Automation and the International Conference on Engineering Education, Instructional Technology, Assessment, and E-learning which were part of the International Joint Conferences on Computer, Information and Systems Sciences and Engineering
Download or read book The Predictive Relationship of Pre enrollment Cognitive and Non cognitive Variables to Student Academic Success and Persistence During the First to Second Academic Year for First year Students Enrolled at a Christian Liberal Arts University written by Andy Denton and published by . This book was released on 2012 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Each year in the United States, nearly one million new students enroll at a four-year post-secondary institution. However, one third of these students do not enroll for their second year of college. Researchers and practitioners say that the period between the freshman and sophomore years is the most critical time regarding student retention and persistence. They have spent considerable time and energy producing studies and developing theories as to why students persist or leave an institution. Admission pressures and competition for students at colleges and universities are expected to continue to increase. Greater challenges to attract new students enhance the significance of developing methodologies to retain the students. Admissions offices are attempting to design predictive models that enable them to determine which students are most likely to experience academic success and persist. This study analyzed the predictive relationship of pre-enrollment cognitive and non-cognitive variables to student academic success and persistence during the first to second academic year for first-year students enrolled at a Christian liberal arts university in the Midwest. A quantitative approach was used to predict academic success and student persistence utilizing hierarchical multiple and logistic regression analyses to answer the research questions. The independent cognitive and non-cognitive variables resulted in a model which was a statistically significant predictor of both the dependent variables, first-year grade point average and second-year retention. The two strongest predictors of first-year grade point average were ACT score and high school grade point average. Results showed ACT score, high school grade point average, and having a parent or sibling as an alumnus of Evangel University were significant predictors of persistence.
Download or read book Assessment for Excellence written by Alexander W. Astin and published by Rowman & Littlefield Publishers. This book was released on 2012-07-13 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of Assessment for Excellence arrives as higher education enters a new era of the accountability movement. In the face of mandates such as results-based funding and outcomes-based accreditation, institutions and assessment specialists are feeling increasingly pressured to demonstrate accountability to external constituencies. The practice of assessment under these new accountability pressures takes on special significance for the education of students and the development of talent across the entire higher education system. This book introduces a talent development approach to educational assessment as a counter to prevailing philosophies, illustrating how contemporary practices are unable to provide institutions with meaningful data with which to improve educational outcomes. It provides administrators, policymakers, researchers, and analysts with a comprehensive framework for developing new assessment programs to promote talent development and for scrutinizing existing policies and practices. Written for a wide audience, the book enables the lay reader to quickly grasp the imperatives of a properly-designed assessment program, and also to gain adequate statistical understanding necessary for examining current or planned assessment policies. More advanced readers will appreciate the technical appendix for assistance in conducting statistical analyses that align with a talent development approach. In addition, institutional researchers will benefit from sections that outline the development of appropriate student databases.
Download or read book Development of a Predictive Model for Student athlete Retention and Graduation at Louisiana State University written by Mary Allyn Boudreaux and published by . This book was released on 2004 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The National Collegiate Athletic Association through its member institutions has implemented academic standards governing initial athletic eligibility and has led reform initiatives tying the ability to compete athletically to student-athlete retention and graduation. Louisiana State University (LSU), like many Division I institutions, admitted its scholarship athletes using these initial eligibility standards as a minimum qualification for admission. However, as NCAA requirements have become less stringent, the admissions requirements at LSU have increased. Concerns about the retention and graduation of student-athletes and an increasing gap between the academic credentials of the student body and student-athletes led administrators to question the wisdom of this practice. There was a need to determine which variables can best predict the retention and graduation of student-athletes at LSU and whether or not these variables differed from results found in national literature. It was hoped that the predictive models could also be used to bridge the gap between NCAA and university admission standards. This study uses hierarchical logistic regression to predict student-athlete retention and graduation using six sets of pre-college and post-enrollment variables for each dependent variable. High school performance variables, characteristics of the high school attended, achievement test scores, demographic and sport variables were used to develop a pre-college model for both retention and graduation. College performance variables that measured the student-athletes' grade point average (GPA) at three academic milestones were added to these models. Results indicated that two different sets of variables predict retention and graduation of LSU student-athletes. The significant predictors in the pre-college retention model included: High School and English GPA, number of natural science and social science courses taken, total number of academic courses taken, math test score and sport and redshirt variables. The significant predictors in the pre-college graduation model included: High School and English GPA and total number of academic courses taken. In the development of the college performance GPA models, the researcher found that as the student-athlete progressed further in his/her academic career, the less important the pre-college variables became. However, most of the predictive power was attributed to the pre-college variables.
Download or read book Developing a Hybrid Model to Predict Student First Year Retention and Academic Success in STEM Disciplines Using Neural Networks written by Ruba Alkhasawneh and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the reasoning behind the low enrollment and retention rates of Underrepresented Minority (URM) students (African Americans, Hispanic Americans, and Native Americans) in the disciplines of science, technology, engineering, and mathematics (STEM) has concerned many researchers for decades. Numerous studies have used traditional statistical methods to identify factors that affect and predict student retention. Recently, researchers have relied on using data mining techniques for modeling student retention in higher education [1]. This research has used neural networks for performance modeling in order to obtain an adequate understanding of factors related to first year academic success and retention of URM at Virginia Commonwealth University. This research used feed forward back-propagation architecture for modeling. The student retention model was developed based on fall to fall retention in STEM majors. The overall freshman year GPA was used to model student academic success. Each model was built in two different ways: the first was built using all available student inputs, and the second using an optimized subset of student inputs. The optimized subset of the most relevant features that comes with the student, such as demographic attributes, high school rank, and SAT test scores was formed using genetic algorithms. A further step towards understanding the retention of URM groups in STEM fields was taken by conducting a series of focus groups with participants of an intervention program at VCU. Focus groups were designed to elicit responses from participants for identifying factors that affect their retention the most and provide more knowledge about their first year experiences, academically and socially. Results of the genetic algorithm and focus groups were incorporated into building a hybrid model using the most relevant student inputs. The developed hybrid model is shown to be a valuable tool in analyzing and predicting student academic success and retention. In particular, we have shown that identifying the most relevant student inputs from the student's perspective can be incorporated with quantitative methodologies to build a tool that can be used and interpreted effectively by people who are related to the field of STEM retention and education. Further, the hybrid model performed comparable to the model developed using the optimized set of inputs that resulted from the genetic algorithm. The GPA prediction hybrid model was tested to determine how well it would predict the GPA for all students, majority students and URM students. The root mean squared error (RM. S.E) on a 4.0 scale was 0.45 for all students, 0.47 for majority students, and 0.45 for URM students. The hybrid retention model was able to predict student retention correctly for 74% of all students, 79% of majority students and 60% of URM students. The hybrid model's accuracy was increased 3% compared to the model which used the optimized set of inputs.
Download or read book Reinventing the Community College Business Model written by Christopher Shults and published by Rowman & Littlefield. This book was released on 2020-03-23 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Community colleges were established to provide an accessible, affordable education and have largely met this charge. Access without success, however, does not benefit the student and traditional planning, operational and financial management, and infinite enrollment growth strategies have not produced positive student outcomes. The Great Recession, disinvestment in higher education, and increasing costs and competition have further exacerbated the inability to deliver better results. Community colleges need an operational framework structured for student success. The community college needs a redesigned business model. This publication breaks new ground by introducing the community college business model (CCBM), an intentionally designed operational management approach that provides a comprehensive approach to understanding students and meeting student needs by providing an exceptional educational experience. Supported by a fiscal management that targets finances to support student learning and success, the model guides the reader through the growth, development, and leveraging of the resources (human, physical, and intellectual) necessary for delivering a successful educational journey. The CCBM is designed to restructure community colleges for delivery of a student value proposition built on learning and success. The philosophical underpinning of the book is that student success is the ultimate measure of organizational effectiveness.
Download or read book Predicting and Improving First Year Engineering Student Retention Through Lean Thinking and Quality Management Concepts written by Thomas Bereza and published by . This book was released on 2017 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the percentage of undergraduate engineering degrees awarded has increased over the past decade, it has been outpaced by the overall growth in bachelor degree attainment. With this, the amount of enrollment in engineering programs has increased, but still a significant number of engineering students choose to drop out or pursue other educational paths. Universities and policy makers are motivated to increase the retention of engineering students to graduation. This thesis explores the quantitative data that makes up a first year engineering student's profile. The data is used to develop an ordinal logistic regression model to predict 2nd year student retention. Ideas to improve retention are discussed with a focus of applying Lean Manufacturing techniques in conjunction with the proposed prediction model. Data from a college of engineering within a public land-grant research university is used to test for significance as indicators for freshman retention. Data used in this study is from 2010 and 2011 freshman engineering cohorts. Using collected student data, a prediction model is developed that assesses the probability of a first year engineering student either i) returning to engineering in their second year, ii) leaving engineering but remaining at the university, or iii) leaving the university altogether. Then, using concepts from lean manufacturing and quality management this prediction model is incorporated in a proposed engineering education quality system.This study creates a prediction model to identify students that are likely to be: retained in engineering, switch majors out of engineering, and drop out of the university. This prediction model is then incorporated into the proposed engineering education quality management system to assist with identifying; where and when students may not persist in engineering curriculum, and ideas to promote student persistence using the prediction results.
Download or read book Nursing Student Retention written by Marianne R. Jeffreys, EdD, RN and published by Springer Publishing Company. This book was released on 2004-05-24 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the current nursing shortage, student retention is a priority concern for nurse educators, health care institutions, and the patients they serve. This book presents an organizing framework for understanding student retention, identifying at-risk students, and developing both diagnostic-prescriptive strategies to facilitate success and innovations in teaching and educational research. The author's conceptual model for student retention, "Nursing Undergraduate Retention and Success," is interwoven throughout, along with essential information for developing, implementing, and evaluating retention strategies. An entire chapter is devoted to how to set up a Student Resource Center. Most chapters conclude with "Educator-in-Action" vignettes, which help illustrate practical application of strategies discussed. Nurse educators at all levels will find this an important resource.
Download or read book Research in Education written by and published by . This book was released on 1971 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Beginner s Guide to Introduce Artificial Intelligence in Teaching and Learning written by Muralidhar Kurni and published by Springer Nature. This book was released on 2023-06-28 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reimagines education in today’s Artificial Intelligence (AI) world and the Fourth Industrial Revolution. Artificial intelligence will drastically affect every industry and sector, and education is no exception. This book aims at how AI may impact the teaching and learning process in education. This book is designed to demystify AI for teachers and learners. This book will help improve education and support institutions in the phenomena of the emergence of AI in teaching and learning. This book presents a comprehensive study of how AI improves teaching and learning, from AI-based learning platforms to AI-assisted proctored examinations. This book provides educators, learners, and administrators on how AI makes sense in their everyday practice. Describing the application of AI in ten key aspects, this comprehensive volume prepares educational leaders, designers, researchers, and policymakers to effectively rethink the teaching and learning process and environments that students need to thrive. The readers of this book never fall behind the fast pace and promising innovations of today’s most advanced learning technology.
Download or read book Strategically Using University Student Records to Build a Student Retention Model written by Emma J. Crabtree and published by . This book was released on 2019 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, Strategic Enrollment Management (SEM) initiatives have become integral in the programs that colleges and universities develop to recruit and retain students. With 73.0% of full-time freshmen at Wichita State University in 2017 returning for their second year of study in fall of 2018, there is a need to implement interventions designed to identify and provide services to students at-risk of not being retained. Based on research of academic attrition and models of student retention, a conceptual model of student retention was developed. Wichita State University has developed collaborations across multiple SEM offices to increase their capacity to strategically use student record data to create data-driven programs and policies. This study utilized this capacity to develop a predictive model of student retention for three of the university's main student populations: first-time-in-college students, transfer students, and returning adult students. The availability of student data for each population is impacted by university admissions and data monitoring practices, requiring the conceptual model to be tailored to each student group. Bivariate comparisons between the students who were retained and who were not retained in each population revealed significant differences between the groups, so a logistic regression was used to predict retention risk. The logistic regression equations for each population were able to predict student retention with at least 70% accuracy. Implications, limitations, and suggestions for future research will be discussed.
Download or read book Community College Review written by and published by . This book was released on 2000 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Institutional Research Initiatives in Higher Education written by Nicolas A. Valcik and published by Routledge. This book was released on 2017-11-06 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: American higher education faces a challenging environment. Decreasing state appropriations, rising costs, and tightening budgets have left American colleges and universities scrambling to achieve their missions with ever more limited resources. Campus leaders have therefore increasingly relied upon institutional research and strategic planning departments to make transparent and rational decisions and to promote good stewardship of critical but finite resources. Institutional Research Initiatives in Higher Education illustrates the wealth of institutional research activities occurring in American higher education. Featuring chapters by a prominent mix of authors representing community colleges, traditional undergraduate institutions, land grant institutions, research and flagship universities, and state agencies, this book provides numerous insights into the contemporary challenges, innovative programs, and best practices in institutional research. With contributors from a variety of regions and types of institutions, each chapter provides rigorous analysis of campus-based research activities in areas such as strategic planning, admissions and enrollment management, assessment and compliance, and financial planning and budgeting. Like the departments it studies, Institutional Research Initiatives in Higher Education is an invaluable resource for university administrators, researchers, and policymakers alike.
