Predicting Student Success In Online Courses At A Rural Alabama Community College

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Predicting Student Success in Online Courses at a Rural Alabama Community College

Author : Leslie Ann Cummings
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (654 download)

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Book Synopsis Predicting Student Success in Online Courses at a Rural Alabama Community College by : Leslie Ann Cummings

Download or read book Predicting Student Success in Online Courses at a Rural Alabama Community College written by Leslie Ann Cummings and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Community colleges have utilized distance education to reach previously underserved populations. Considering the educational opportunities afforded by increased Internet access and the history of community colleges of providing open access to all individuals, it is no wonder that distance education has grown as a means of extending education in rural areas. Along with taking advantage of these opportunities, community colleges must also be committed to the success of students in the online environment. There is a need to identify individual student characteristics that predict success in the online environment in order to provide appropriate course enrollment advising. This study examines demographic and educational variables of online students at Bevill State Community College, with the goal of identifying the predictive ability of student characteristics on success in online courses. Online learners at Bevill State were mostly females and roughly half had completed an introductory computer course before enrolling in an online class. The average age of the participants was 25.57. These individuals had an average GPA of 3.07 and had completed an average of 4.56 semesters of college. Overall, 71.1% of the participants were successful in the online course in which they were enrolled, having achieved a grade of D or higher. The logistic regression model of five predictor variables was 72% accurate in predicting student success and non-success. Results show that the major factors influencing whether a person is successful in online classes are: age at the time of enrollment, overall GPA before enrollment, and the number of semesters of previous college experience. These findings indicate that students who are older, have more experience in college, and who have had more success in the traditional classroom may be more likely to be successful in the online environment. As online education continues its growth, identifying factors that help to distinguish between those who may be successful and those who may not will help students, advisors, and administrators make informed decisions about course enrollments. Future research should include a variety of methodologies to further explore the variables identified here as well as others that may influence student success in the online environment.

PREDICTING STUDENT SUCCESS IN ONLINE COURSES AT A RURAL ALABAMA COMMUNITY COLLEGE.

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (654 download)

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Book Synopsis PREDICTING STUDENT SUCCESS IN ONLINE COURSES AT A RURAL ALABAMA COMMUNITY COLLEGE. by :

Download or read book PREDICTING STUDENT SUCCESS IN ONLINE COURSES AT A RURAL ALABAMA COMMUNITY COLLEGE. written by and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Success Factors Among Community College Students in an Online Learning Environment

Author : Paula B. Doherty
Publisher : Universal-Publishers
ISBN 13 : 1581121067
Total Pages : 238 pages
Book Rating : 4.5/5 (811 download)

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Book Synopsis Success Factors Among Community College Students in an Online Learning Environment by : Paula B. Doherty

Download or read book Success Factors Among Community College Students in an Online Learning Environment written by Paula B. Doherty and published by Universal-Publishers. This book was released on 2000-08-16 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Little is known about student success in online learning environments, especially how the predisposing characteristics that the learner brings to the learning environment may differentially affect student outcomes. This study explored the question of whether a student's "readiness" to be a self-directed learner is a predictor of student success in an online community college curriculum. The specific goal of this investigation was to determine whether there was a significant relationship between self-directed learning readiness-as measured by Guglielmino's (1977) Self-Directed Learning Readiness Scale (SDLRS)- and student success-as measured by course completion, grade point average (GPA) and student satisfaction, the latter assessed by student responses to an opinion poll. The subjects of this study were community college students in the state of Washington, enrolled in one or more transfer-level online courses delivered via WashingtonONLINE (WAOL) during fall quarter 1999. Students who voluntarily chose to respond to two elective surveys comprised the study sample. A correlational research design was used to test the explanatory power of self-directed learning readiness and to describe the relationships between variables. Since this study was designed to test hypothesized relationships, the resulting correlation coefficients were interpreted in terms of their statistical significance. The expected outcome of this study was to confirm or disconfirm a statistically significant relationship between self-directed learning readiness and student success in an online community college curriculum. The findings of this study failed to achieve this outcome due to (1) the lack of statistical reliability of the SDLRS among the subject population; (2) the resulting lack of validity of the SDLRS among the study sample; (3) a nonresponse effect; and (4) a self-selection effect. The unanticipated outcome of this study was evidence that student perception of student/instructor interactions is a single variable predictor of student success among community college students in an online learning environment. Recommendations for further study include Web-specific research methodologies that address the potentially deleterious effects of nonresponse and self-selection in cyber-research environments and continued exploration of the multiple facets of student success in asynchronous learning domains.

Predicting Student Success in Coursework Within a Regional Online School

Author : Cary J. Stamas
Publisher :
ISBN 13 :
Total Pages : 137 pages
Book Rating : 4.:/5 (132 download)

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Book Synopsis Predicting Student Success in Coursework Within a Regional Online School by : Cary J. Stamas

Download or read book Predicting Student Success in Coursework Within a Regional Online School written by Cary J. Stamas and published by . This book was released on 2021 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: Online education options in the K-12 environment have steadily increased from the infancy of online education at the turn of the millennia. Educators have utilized this format to meet the many different needs that exist for all students. Early research into the academic success of students in these environments prior to 2000 indicated there was no significant difference in student achievement for distance learning as compared to face-to-face learning. Since 2000, there has been increased focus on student performance in higher education online environments, but research is limited for K-12 schools. For the research that does exist, school-level variables and the reasons why students select online environments have not been investigated. This study examines the within-school and between-school factors that predict the performance of students in online environments utilizing hierarchical linear modeling (HLM). The data sample represents information from a regional online school (ROS) that enrolls 9-12 students in online coursework from local schools in the region. The sample included 886 students from 36 local schools. The student-level variables that were investigated included prior student performance, special education status, student free or reduced-price lunch status, race, gender, age, and the reason for selecting online coursework. The school-level variables included in the analyses were school enrollment, percentage of students who qualify for free or reduced-price lunch, school average SAT score, percentage of Black students enrolled, and percentage of Hispanic students enrolled. This study analyzed student overall performance, mathematics performance, and English language arts (ELA) performance at the ROS utilizing three models: the unconditional model, the control model with student-level variables, and the full model with school-level variables. A fourth model was applied to a subset of the data for each academic area and included students' reason for choosing online coursework at level 1. The results identified multiple significant factors that predicted student performance. At the student level for all three academic areas, prior academic performance (GPA) was a positive predictor of student achievement while special education status and qualification for free or reduced-price lunch were negative predictors. At the school level, the only significant predictor is the average SAT score which positively predicts overall academic achievement at the ROS. When the students' reasons for selecting online coursework were analyzed, health reasons were a significant negative predictor for overall academic performance. Behavioral reasons were a significant positive predictor and family reasons were significant negative predictor of mathematics achievement at the ROS. The findings on significant predictors of student success in online classes are important information for students, parents, educators, and others. These findings can provide clarity in decision making around the placement and support of students. They also provide important areas of focus for program quality and improvement to support student success. Future research could investigate further the relationship between special education classifications, other school level factors, and additional reasons for selecting online courses, on the one hand, and success in on-line classes, on the other.

Using Learning Analytics to Predict Academic Success in Online and Face-to-face Learning Environments

Author : Lisa Janine Berry
Publisher :
ISBN 13 :
Total Pages : 119 pages
Book Rating : 4.:/5 (993 download)

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Book Synopsis Using Learning Analytics to Predict Academic Success in Online and Face-to-face Learning Environments by : Lisa Janine Berry

Download or read book Using Learning Analytics to Predict Academic Success in Online and Face-to-face Learning Environments written by Lisa Janine Berry and published by . This book was released on 2017 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This learning analytics study looked at the various student characteristics of all on-campus students who were enrolled in 100 and 200 level courses that were offered in both online and face-to-face formats during a two-year period. There is a perception that online education is either not as successful as face-to-face instruction, or it is more difficult for students. The results of this study show this is not the case. The goal of this study was to complete an in-depth analysis of student profiles addressing a variety of demographic categories as well as several academic and course related variables to reveal any patterns for student success in either online or face-to-face courses as measured by final grade. There were large enough differences within different demographic and academic categories to be considered significant for the study population, but overwhelmingly, the most significant predictor of success was found to be past educational success, as reflected in a student's cumulative grade point average. Further analysis was completed on students who declared high school credit as their primary major based on significantly different levels of success. These students were concurrent enrollment students or those who completed college courses for both high school and university credit. Since most of these students were new to the university, they did not have a cumulative GPA, so other predictive factors were explored. The study concludes with recommendations for action based on the logistic regression prediction tool that resulted from the data analysis."--Boise State University ScholarWorks.

Predicting Student Success in a Self-paced Mathematics MOOC

Author : James Allan Cunningham
Publisher :
ISBN 13 :
Total Pages : 115 pages
Book Rating : 4.:/5 (1 download)

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Book Synopsis Predicting Student Success in a Self-paced Mathematics MOOC by : James Allan Cunningham

Download or read book Predicting Student Success in a Self-paced Mathematics MOOC written by James Allan Cunningham and published by . This book was released on 2017 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: While predicting completion in Massive Open Online Courses (MOOCs) has been an active area of research in recent years, predicting completion in self-paced MOOCS, the fastest growing segment of open online courses, has largely been ignored. Using learning analytics and educational data mining techniques, this study examined data generated by over 4,600 individuals working in a self-paced, open enrollment college algebra MOOC over a period of eight months. Although just 4% of these students completed the course, models were developed that could predict correctly nearly 80% of the time which students would complete the course and which would not, based on each student’s first day of work in the online course. Logistic regression was used as the primary tool to predict completion and focused on variables associated with self-regulated learning (SRL) and demographic variables available from survey information gathered as students begin edX courses (the MOOC platform employed). The strongest SRL predictor was the amount of time students spent in the course on their first day. The number of math skills obtained the first day and the pace at which these skills were gained were also predictors, although pace was negatively correlated with completion. Prediction models using only SRL data obtained on the first day in the course correctly predicted course completion 70% of the time, whereas models based on first-day SRL and demographic data made correct predictions 79% of the time.

Predicting Student Success in an Introductory Programming Course at an Urban Midwestern Community College with Computer Programming Experience, Self-efficacy, and Hope

Download Predicting Student Success in an Introductory Programming Course at an Urban Midwestern Community College with Computer Programming Experience, Self-efficacy, and Hope PDF Online Free

Author : Reece E. Newman
Publisher :
ISBN 13 :
Total Pages : 613 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Predicting Student Success in an Introductory Programming Course at an Urban Midwestern Community College with Computer Programming Experience, Self-efficacy, and Hope by : Reece E. Newman

Download or read book Predicting Student Success in an Introductory Programming Course at an Urban Midwestern Community College with Computer Programming Experience, Self-efficacy, and Hope written by Reece E. Newman and published by . This book was released on 2021 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract Predicting Student Success in an Introductory Programming Course at an Urban Midwestern Community College with Computer Programming Experience, Self-Efficacy, and Hope Name: Newman, Reece Elton University of Dayton Advisor: Dr. Charles J. Russo This study of a convenience sample of 66 Introductory Computer Programming students at an urban Midwestern community college used age, computer programming experience, self-efficacy, and hope to predict overall course score. The age, computer programming experience, self-efficacy, and hope frequency distributions were not statistically normal or Gaussian in the sample. Computer programming experience statistically significantly correlated with both computer programming self-efficacy and computer programing hope. Age and computer programming experience, age and computer programming self-efficacy, and age and computer programming hope did not statistically significantly correlate. Computer programming self-efficacy and computer programming hope did not statistically significantly correlate. Relations between age and overall course score, computer programming experience and overall course score, computer programming self-efficacy and overall course score, and computer programming hope and overall course score were nonlinear, so the assumptions for correlation, simple linear regression, and hierarchical multiple linear regression did not hold for the sample data. Correlational, simple regression, and multiple hierarchical regression results were not statistically significant, nor were Student's independent samples t-tests, one-way ANOVAs, and twoway 2 X 2 and 3 X 2 ANOVAs. Despite the overall lack of statistical significance in the findings, there were novel contributions to human knowledge discovered through the observational study of the sample data. Instrument response patterns were internally consistent, providing evidence that the instruments are reliable in the introductory computer programming community college student sample. There were clustering and clear trends in the data indicating a broad range of responses to each instrument. The highly heterogeneous community college population was quite clearly distinct and different from much more homogeneous four-year college and university student populations.

Predicting Student Success in Entry-level Social Science Courses

Author : Cree Stout
Publisher :
ISBN 13 :
Total Pages : 148 pages
Book Rating : 4.:/5 (374 download)

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Book Synopsis Predicting Student Success in Entry-level Social Science Courses by : Cree Stout

Download or read book Predicting Student Success in Entry-level Social Science Courses written by Cree Stout and published by . This book was released on 1996 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Strengths-based Analysis of Student Success in Online Courses

Author : Carol Gering
Publisher :
ISBN 13 :
Total Pages : 394 pages
Book Rating : 4.:/5 (1 download)

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Book Synopsis Strengths-based Analysis of Student Success in Online Courses by : Carol Gering

Download or read book Strengths-based Analysis of Student Success in Online Courses written by Carol Gering and published by . This book was released on 2017 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this research was to increase understanding of post-secondary student success in online courses by evaluating a contextually rich combination of personal, circumstantial, and course variables. A strengths-based perspective framed the investigation. Mixed-method data were collected and analyzed sequentially in three phases: two phases of quantitative collection and analysis were followed by qualitative interviews and comprehensive analysis. The study first used logistic regression to analyze existing data on more than 27,000 student enrollments, spanning a time period of four academic years. The second phase of research enhanced the modeling focused on a subset of the total population; students from a single semester were invited to complete an assessment of non-cognitive attributes and personal perceptions. Between the two phases, 28 discreet variables were analyzed. Results suggest that different combinations of variables may be effective in predicting success among students with varying levels of educational experience. This research produced preliminary predictive models for student success at each level of class standing. The study concluded with qualitative interviews designed to explain quantitative results more fully. Aligned with a strengths-based perspective, 12 successful students were asked to elaborate on factors impacting their success. Themes that emerged from the interviews were congruent with quantitative findings, providing practical examples of student and instructor actions that contribute to online student success.

STEM Road Map

Author : Carla C. Johnson
Publisher : Routledge
ISBN 13 : 1317620208
Total Pages : 374 pages
Book Rating : 4.3/5 (176 download)

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Book Synopsis STEM Road Map by : Carla C. Johnson

Download or read book STEM Road Map written by Carla C. Johnson and published by Routledge. This book was released on 2015-07-03 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: STEM Road Map: A Framework for Integrated STEM Education is the first resource to offer an integrated STEM curricula encompassing the entire K-12 spectrum, with complete grade-level learning based on a spiraled approach to building conceptual understanding. A team of over thirty STEM education professionals from across the U.S. collaborated on the important work of mapping out the Common Core standards in mathematics and English/language arts, the Next Generation Science Standards performance expectations, and the Framework for 21st Century Learning into a coordinated, integrated, STEM education curriculum map. The book is structured in three main parts—Conceptualizing STEM, STEM Curriculum Maps, and Building Capacity for STEM—designed to build common understandings of integrated STEM, provide rich curriculum maps for implementing integrated STEM at the classroom level, and supports to enable systemic transformation to an integrated STEM approach. The STEM Road Map places the power into educators’ hands to implement integrated STEM learning within their classrooms without the need for extensive resources, making it a reality for all students.

Predicting Student Success Using Digital Textbook Analytics in Online Courses

Author : Dustin Lee Williams
Publisher :
ISBN 13 :
Total Pages : 98 pages
Book Rating : 4.:/5 (11 download)

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Book Synopsis Predicting Student Success Using Digital Textbook Analytics in Online Courses by : Dustin Lee Williams

Download or read book Predicting Student Success Using Digital Textbook Analytics in Online Courses written by Dustin Lee Williams and published by . This book was released on 2019 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the digital era, students are generating and institutions are collecting more data than ever before. With the constant change in technology, new data points are being created. Digital textbooks are becoming more popular, and textbook publishers are shifting more of their efforts to creating digital content. This shift creates new data points that have the potential to show how students are engaging with course material. The purpose of this correlational study is to determine if digital textbook usage data, pages read, number of days, reading sessions, highlights, bookmarks, notes, searches, downloads and prints can predict student success. This study used a multiple regression to determine if digital textbook usage data is a predictor of course or quiz success in five online undergraduate courses at a private liberal arts university. The analysis used digital textbook data from VitalSource and consisted of 1,602 students that were enrolled in an eight-week online course at a private liberal arts university. The analysis showed that there is a significant relationship between digital textbook usage data and total points earned and average quiz grade. This study contributes to the limited knowledge on digital textbook analytics and provides valuable insight into how students engage with digital textbooks in online courses.

Minority Serving Institutions

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309484448
Total Pages : 255 pages
Book Rating : 4.3/5 (94 download)

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Book Synopsis Minority Serving Institutions by : National Academies of Sciences, Engineering, and Medicine

Download or read book Minority Serving Institutions written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2019-02-05 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are over 20 million young people of color in the United States whose representation in STEM education pathways and in the STEM workforce is still far below their numbers in the general population. Their participation could help re-establish the United States' preeminence in STEM innovation and productivity, while also increasing the number of well-educated STEM workers. There are nearly 700 minority-serving institutions (MSIs) that provide pathways to STEM educational success and workforce readiness for millions of students of colorâ€"and do so in a mission-driven and intentional manner. They vary substantially in their origins, missions, student demographics, and levels of institutional selectivity. But in general, their service to the nation provides a gateway to higher education and the workforce, particularly for underrepresented students of color and those from low-income and first-generation to college backgrounds. The challenge for the nation is how to capitalize on the unique strengths and attributes of these institutions and to equip them with the resources, exceptional faculty talent, and vital infrastructure needed to educate and train an increasingly critical portion of current and future generations of scientists, engineers, and health professionals. Minority Serving Institutions examines the nation's MSIs and identifies promising programs and effective strategies that have the highest potential return on investment for the nation by increasing the quantity and quality MSI STEM graduates. This study also provides critical information and perspective about the importance of MSIs to other stakeholders in the nation's system of higher education and the organizations that support them.

Interactivity, Faculty Development, and Student Success in Community College Online Courses

Author : Grace Rheudasil Rutherford
Publisher :
ISBN 13 :
Total Pages : 296 pages
Book Rating : 4.:/5 (191 download)

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Book Synopsis Interactivity, Faculty Development, and Student Success in Community College Online Courses by : Grace Rheudasil Rutherford

Download or read book Interactivity, Faculty Development, and Student Success in Community College Online Courses written by Grace Rheudasil Rutherford and published by . This book was released on 2007 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Impact of Proactive Student-Success Coaching Using Predictive Analytics on Community College Students

Author : Mark Monroe Hall
Publisher :
ISBN 13 :
Total Pages : 205 pages
Book Rating : 4.:/5 (1 download)

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Book Synopsis The Impact of Proactive Student-Success Coaching Using Predictive Analytics on Community College Students by : Mark Monroe Hall

Download or read book The Impact of Proactive Student-Success Coaching Using Predictive Analytics on Community College Students written by Mark Monroe Hall and published by . This book was released on 2017 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Predicting Student Success in College Using Stepwise Multiple Regression

Author : Richard Edward Cerullo
Publisher :
ISBN 13 :
Total Pages : 246 pages
Book Rating : 4.:/5 (151 download)

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Book Synopsis Predicting Student Success in College Using Stepwise Multiple Regression by : Richard Edward Cerullo

Download or read book Predicting Student Success in College Using Stepwise Multiple Regression written by Richard Edward Cerullo and published by . This book was released on 1982 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:

School, Family, and Community Partnerships

Author : Joyce L. Epstein
Publisher : Corwin Press
ISBN 13 : 1483320014
Total Pages : 508 pages
Book Rating : 4.4/5 (833 download)

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Book Synopsis School, Family, and Community Partnerships by : Joyce L. Epstein

Download or read book School, Family, and Community Partnerships written by Joyce L. Epstein and published by Corwin Press. This book was released on 2018-07-19 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Strengthen programs of family and community engagement to promote equity and increase student success! When schools, families, and communities collaborate and share responsibility for students′ education, more students succeed in school. Based on 30 years of research and fieldwork, the fourth edition of the bestseller School, Family, and Community Partnerships: Your Handbook for Action, presents tools and guidelines to help develop more effective and more equitable programs of family and community engagement. Written by a team of well-known experts, it provides a theory and framework of six types of involvement for action; up-to-date research on school, family, and community collaboration; and new materials for professional development and on-going technical assistance. Readers also will find: Examples of best practices on the six types of involvement from preschools, and elementary, middle, and high schools Checklists, templates, and evaluations to plan goal-linked partnership programs and assess progress CD-ROM with slides and notes for two presentations: A new awareness session to orient colleagues on the major components of a research-based partnership program, and a full One-Day Team Training Workshop to prepare school teams to develop their partnership programs. As a foundational text, this handbook demonstrates a proven approach to implement and sustain inclusive, goal-linked programs of partnership. It shows how a good partnership program is an essential component of good school organization and school improvement for student success. This book will help every district and all schools strengthen and continually improve their programs of family and community engagement.

Student Success in College

Author : George D. Kuh
Publisher : John Wiley & Sons
ISBN 13 : 1118046854
Total Pages : 422 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Student Success in College by : George D. Kuh

Download or read book Student Success in College written by George D. Kuh and published by John Wiley & Sons. This book was released on 2011-01-07 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Student Success in College describes policies, programs, and practices that a diverse set of institutions have used to enhance student achievement. This book clearly shows the benefits of student learning and educational effectiveness that can be realized when these conditions are present. Based on the Documenting Effective Educational Practice (DEEP) project from the Center for Postsecondary Research at Indiana University, this book provides concrete examples from twenty institutions that other colleges and universities can learn from and adapt to help create a success-oriented campus culture and learning environment.