Download or read book Predictive Effects of Community College Student Characteristics on Academic Achievement in Computer Science at an Upper division University written by Stephen Bryant Rainwater and published by . This book was released on 1989 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Predictive Effects of Community College Student Characteristies on Academic Achievement in a University Computer Science Core Curriculum written by David Michael Redmond and published by . This book was released on 2004 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Dissertation Abstracts International written by and published by . This book was released on 1990 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book American Doctoral Dissertations written by and published by . This book was released on 1994 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Research in Education written by and published by . This book was released on 1974 with total page 1280 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 1998 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Inventory of Current Research on Postsecondary Education 1972 written by J. B. Lon Hefferlin and published by Berkeley: Center for Research and Development in Higher Education, University of California. This book was released on 1972 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Education A E written by University Microfilms, Incorporated and published by University Microfilms. This book was released on 1989 with total page 796 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Prediction of Academic Achievement for College Computer Science Majors in the Republic of China written by Tai-Sheng Fan and published by . This book was released on 1996 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this research was to determine whether student academic achievement in college computer science programs in the Republic of China (ROC) could be predicted by factors reported to be effective in US studies. The relationship between these factors and course performance in computer science programs was examined. Gender differences were also interrogated. Sophomore, junior, and senior students enrolled in five universities offering computer science programs in the ROC constituted the population. A researcher-designed questionnaire was used to collect background information. Validity and reliability issues were addressed by the conduct of validity assessment, questionnaire pilot testing, and interviews with selected pilot test subjects. Scores from the College Entrance Examination (CEE) and college computer science courses were accessed through university registrar's offices. A total of 940 questionnaires were collected, representing more than 81% of the population. From data analysis, the predictive powers of CEE test scores in relation to subsequent college performance appeared to be limited. The CEE math component was negatively correlated to performance in college computer science programs. The positive relation of math ability to academic achievement in complete computer science programs was confirmed. High school overall achievement as well as math course averages were identified as effective performance predictors for college computer science programs. Prior computer experience showed no conclusive relationship to subsequent performance in college computer science courses. The close relationship between performance in beginning computer science courses and performance in complete computer science programs was validated. Significant linear prediction models with limited predictive powers (R2 ranged from 0.19 to 0.30) were generated for overall performance, but not for introductory computer science course performance. Model predictive powers were significantly improved (R2 range from 0.59 to 0.63) when performance in introductory computer science courses was included in the models. Significant gender differences were not found for CEE performance, prior computer experience, and prediction models. However, female subjects outperformed male counterparts in course performance at both the high school and college levels.
Download or read book Current Index to Journals in Education written by and published by . This book was released on 1999-04 with total page 1052 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Comprehensive Dissertation Index written by and published by . This book was released on 1984 with total page 1014 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Title Index ERIC ED Accessions File written by ERIC Processing and Reference Facility and published by . This book was released on 1966 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Eighth Mental Measurements Yearbook written by Oscar Krisen Buros and published by . This book was released on 1978 with total page 1198 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Mental Measurements Yearbook written by Oscar Krisen Buros and published by . This book was released on 1978 with total page 1208 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book ERIC Educational Documents Index written by Educational Resources Information Center (U.S.) and published by . This book was released on 1966 with total page 820 pages. Available in PDF, EPUB and Kindle. Book excerpt: "A subject-author-institution index which provides titles and accession numbers to the document and report literature that was announced in the monthly issues of Resources in education" (earlier called Research in education).
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.
Download or read book ERIC Educational Documents Index 1966 69 Major descriptors written by and published by . This book was released on 1970 with total page 816 pages. Available in PDF, EPUB and Kindle. Book excerpt:
