منابع مشابه
Predicting Academic Performance of MBA Program Applicants*
We report on an approach for aiding and strengthening the MBA admissions process that was used at the Stanford University Graduate School of Business. Multiple regression models were used to make predictions of the academic performance of an applicant, if admitted to the MBA program. Applicants who were predicted to have a “substantial chance” of an inadequate academic performance were consider...
متن کاملChallenges of student selection: Predicting academic performance
Finding accurate predidors of tertiary academic performance, specifically for disadvantaged students, is essential because of budget constraints and the need of the labour market to address employment equity. Increased retention, throughput and decreased dropout rates are vital. When making odmission decisions, the under preparedness of students necessitates that their potential cognitive abili...
متن کاملPredicting Student Academic Performance at Degree Level: A Case Study
Universities gather large volumes of data with reference to their students in electronic form. The advances in the data mining field make it possible to mine these educational data and find information that allow for innovative ways of supporting both teachers and students. This paper presents a case study on predicting performance of students at the end of a university degree at an early stage...
متن کاملSelf-discipline outdoes IQ in predicting academic performance of adolescents.
In a longitudinal study of 140 eighth-grade students, self-discipline measured by self-report, parent report, teacher report, and monetary choice questionnaires in the fall predicted final grades, school attendance, standardized achievement-test scores, and selection into a competitive high school program the following spring. In a replication with 164 eighth graders, a behavioral delay-of-grat...
متن کاملPredicting Academic Performance Based on Students' Blog and Microblog Posts
This study investigates the degree to which textual complexity indices applied on students’ online contributions, corroborated with a longitudinal anal‐ ysis performed on their weekly posts, predict academic performance. The source of student writing consists of blog and microblog posts, created in the context of a project-based learning scenario run on our eMUSE platform. Data is collected fro...
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ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2005
ISSN: 1556-5068
DOI: 10.2139/ssrn.998279