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Parhizkar, Amirmohammad; Tejeddin, Golnaz; Khatibi, Toktam – Education and Information Technologies, 2023
Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…
Descriptors: Algorithms, Grade Point Average, Interdisciplinary Approach, Prediction
Gardner, Josh; Brooks, Christopher; Li, Warren – Journal of Learning Analytics, 2018
In this paper, we evaluate the complete undergraduate co-enrollment network over a decade of education at a large American public university. We provide descriptive and exploratory analyses of the network, demonstrating that the co-enrollment networks evaluated follow power-law degree distributions similar to many other large-scale networks; that…
Descriptors: Markov Processes, Classification, Undergraduate Students, Grade Point Average
Matos-Díaz, Horacio – Education Policy Analysis Archives, 2021
Faculty members and their corresponding academic fields at the University of Puerto Rico at Bayamón are classified with regard to grading practices over time. Based on the effects on the intercept of the equations that predict the GPA and the proportion of student withdrawals observed in each of the 39,337 courses offered during 41 consecutive…
Descriptors: Grading, Educational Policy, Educational History, College Faculty
Gray, Geraldine; McGuinness, Colm; Owende, Philip; Hofmann, Markus – Journal of Learning Analytics, 2016
This paper reports on a study to predict students at risk of failing based on data available prior to commencement of first year. The study was conducted over three years, 2010 to 2012, on a student population from a range of academic disciplines, n=1,207. Data was gathered from both student enrollment data and an online, self-reporting,…
Descriptors: Prediction, At Risk Students, Academic Failure, College Freshmen
Sato, Brian K.; Kadandale, Pavan; He, Wenliang; Murata, Paige M. N.; Latif, Yama; Warschauer, Mark – CBE - Life Sciences Education, 2014
Primary literature is essential for scientific communication and is commonly utilized in undergraduate biology education. Despite this, there is often little time spent "training" our students how to critically analyze a paper. To address this, we introduced a primary literature module in multiple upper-division laboratory courses. In…
Descriptors: Biology, Science Instruction, Large Group Instruction, Science Laboratories
Atamian, Rubik; Mansouri, Hossein – Contemporary Issues in Education Research, 2013
According to the Bureau of Labor Statistics, throughout their careers, college graduates change multiple jobs and several careers, often remotely related to one another or to their major field of study. Experts project that the majority of newly created jobs requiring college education would involve extensive and prolonged on-the-job training of…
Descriptors: Preferences, Career Choice, Accounting, Age Differences
Musso, Mariel F.; Kyndt, Eva; Cascallar, Eduardo C.; Dochy, Filip – Frontline Learning Research, 2013
Many studies have explored the contribution of different factors from diverse theoretical perspectives to the explanation of academic performance. These factors have been identified as having important implications not only for the study of learning processes, but also as tools for improving curriculum designs, tutorial systems, and students'…
Descriptors: Prediction, Academic Achievement, Networks, Learning Processes
Bakir, Saad T. – American Journal of Business Education, 2010
We propose a nonparametric (or distribution-free) procedure for testing the equality of several population variances (or scale parameters). The proposed test is a modification of Bakir's (1989, Commun. Statist., Simul-Comp., 18, 757-775) analysis of means by ranks (ANOMR) procedure for testing the equality of several population means. A proof is…
Descriptors: Majors (Students), Grade Point Average, Nonparametric Statistics, Business Administration Education
Taylor, Donald Joseph – ProQuest LLC, 2011
In California, Algebra I is the 8th grade math content standard. The United States Department of Education found the annual 8th grade General Math California Standards Test to be out of compliance with the federal No Child Left Behind Act of 2001 since it assesses 6th and 7th grade math standards and not Algebra I math content. In response to the…
Descriptors: Student Placement, Grade Point Average, Federal Legislation, Second Language Learning
Rice, Kenneth G.; Ashby, Jeffrey S. – Journal of Counseling Psychology, 2007
Multiple samples of university students (N = 1,537) completed the Almost Perfect Scale-Revised (APS-R; R. B. Slaney, M. Mobley, J. Trippi, J. Ashby, & D. G. Johnson, 1996). Cluster analyses, cross-validated discriminant function analyses, and receiver operating characteristic curves for sensitivity and specificity of APS-R scores were used to…
Descriptors: Validity, Life Satisfaction, Group Membership, Grade Point Average
Dowdy, Erin; Kamphaus, Randy W. – California School Psychologist, 2007
There is growing evidence that current classification methods are not consistent with current empirical knowledge of childhood psychopathology and the optimal way to classify school-age children remains controversial. The current study investigated three classification methods (categorical, dimensional, person-oriented) for use in predicting…
Descriptors: Grade Point Average, Educational Objectives, Outcomes of Education, Academic Achievement
Fiore, Neil A.; Sedlacek, William E. – 1970
A study was conducted to determine if Clark and Trow's (1966) typology of student subcultures could be empirically applied to a description of University of Maryland students. Twelve Counseling Center research staff members faked answers to the 1969 University Student Census (USC), an activities and attitude inventory administered to all…
Descriptors: Classification, College Students, Comparative Analysis, Grade Point Average

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