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Webber, Karen L., Ed.; Zheng, Henry, Ed. – Johns Hopkins University Press, 2020
The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector. To navigate these challenges, savvy leaders must leverage data to make sound…
Descriptors: Data Use, Decision Making, Learning Analytics, Higher Education
Chen, Yu; Upah, Sylvester – Journal of College Student Retention: Research, Theory & Practice, 2020
Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success.…
Descriptors: STEM Education, Academic Advising, Data Analysis, Majors (Students)
Jones, Kyle M. L. – Education and Information Technologies, 2019
Institutions are applying methods and practices from data analytics under the umbrella term of "learning analytics" to inform instruction, library practices, and institutional research, among other things. This study reports findings from interviews with professional advisors at a public higher education institution. It reports their…
Descriptors: Academic Advising, Instructional Systems, Library Services, Institutional Research
Johnson, James – NACADA Journal, 2013
In an effort to standardize academic risk assessment, the NCAA developed the graduation risk overview (GRO) model. Although this model was designed to assess graduation risk, its ability to predict grade-point average (GPA) remained unknown. Therefore, 134 individual risk assessments were made to determine GRO model effectiveness in the…
Descriptors: Risk Assessment, College Athletics, Athletes, Graduation Rate
Synco, Tracee M. – ProQuest LLC, 2012
Tinto, Astin and countless others have researched the retention and attrition of students from college for more than thirty years. However, the six year graduation rate for all first-time full-time freshmen for the 2002 cohort was 57%. This study sought to determine the retention variables that predicted continued enrollment of entering freshmen…
Descriptors: College Entrance Examinations, School Holding Power, Grade Point Average, Supplementary Education
Brogt, Erik; Sampson, Kaylene A.; Comer, Keith; Turnbull, Matthew H; McIntosh, Angus R. – Journal of Institutional Research, 2011
This article examines the use of institutional research data on tertiary academic success of students in the first-year Biology program at the University of Canterbury in relation to their secondary school performance in English, Mathematics with Statistics, Biology and Chemistry. This study was commissioned by the School of Biological Sciences to…
Descriptors: Institutional Research, Research Utilization, Data, Postsecondary Education
Freng, Scott; Webber, David; Blatter, Jamin; Wing, Ashley; Scott, Walter D. – Teaching of Psychology, 2011
Comprehension of statistics and research methods is crucial to understanding psychology as a science (APA, 2007). However, psychology majors sometimes approach methodology courses with derision or anxiety (Onwuegbuzie & Wilson, 2003; Rajecki, Appleby, Williams, Johnson, & Jeschke, 2005); consequently, students may postpone…
Descriptors: Majors (Students), Grade Point Average, Research Methodology, Academic Achievement
Comer, Keith; Broght, Erik; Sampson, Kaylene – Journal of Institutional Research, 2011
Building on Shulruf, Hattie and Tumen (2008), this work examines the capacity of various National Certificate in Educational Achievement (NCEA)-derived models to predict first-year performance in Biological Sciences at a New Zealand university. We compared three models: (1) the "best-80" indicator as used by several New Zealand…
Descriptors: Science Achievement, Biology, Secondary School Science, National Competency Tests
Hall, Michael C. – Quarterly Review of Distance Education, 2009
This article presents the results of a factor analysis on the distance education surveys "Is Online Learning Right for Me?" and "What Technical Skills Do I Need?" Both surveys are 15-question, forced response, self-scoring guides that have face validity for individual traits and skills believed to contribute to potential success in an…
Descriptors: Electronic Learning, Distance Education, Online Courses, Predictive Validity
Mittelholtz, David J.; Noble, Julie P. – 1993
The two studies reported examined the validity of several Evaluation/Survey Service (ESS) surveys for accurately reflecting changes in students' perceptions resulting from changes made by an institution in its policies, programs, services, or environment. In study 1, personnel from nine postsecondary institutions identified items on various ESS…
Descriptors: Academic Advising, Comparative Testing, Educational Change, Higher Education
Levin, James; Wyckoff, John – 1990
This study developed predictive models on persistence and success in engineering at the end of the sophomore year by examining 11 intellective and 9 non-intellective variables. The project's long-term purpose was to contribute to the improvement of academic advising for students considering engineering majors and thus improve student retention.…
Descriptors: Academic Achievement, Academic Advising, Academic Persistence, College Bound Students
Kean, Michael – 1982
The usefulness of tests for college admissions decisions, guidance, and student placement is discussed by a representative of the Educational Testing Service (ETS). Since high school curricula often vary among schools in both content and quality, standardized test scores provide a common measure of applicant performace and indicate a grasp of…
Descriptors: Academic Advising, Aptitude Tests, College Admission, College Entrance Examinations
Pisani, Anoush M.; Stott, Nathan – 1996
This study examined the factors influencing the commitment of part-time faculty to developmental advising. The study was based on a theoretical framework which suggests that developmental advising is a learning experience that involves interaction of students and faculty members. The data for the study were collected during a 1992 survey of 969…
Descriptors: Academic Advising, Attitude Measures, Developmental Programs, Faculty Advisers
Peer reviewedOman, Paul W. – AEDS Journal, 1986
Describes a study of 38 students at Eastern Oregon State College which identified mathematics proficiency as the key student characteristic leading to successful completion of computer science courses, and developed a model that accounts for 82 percent of the variation in students' final grades in computer courses for use by advisers. (LRW)
Descriptors: Academic Achievement, Academic Advising, Analysis of Variance, Computer Science Education
Richards, William – 1986
In fall 1985, a study was conducted by the Colorado State Board for Community Colleges and Occupational Education to analyze the efficiency and effectiveness of community college assessment programs throughout the state. Each community college in the state randomly selected 100 students whose basic skills had been assessed and who had enrolled in…
Descriptors: Academic Achievement, Academic Advising, Academic Persistence, Basic Skills
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