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Direct linkWang, Jinhao; Brown, Michelle Stallone – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2008
The purpose of the current study was to analyze the relationship between automated essay scoring (AES) and human scoring in order to determine the validity and usefulness of AES for large-scale placement tests. Specifically, a correlational research design was used to examine the correlations between AES performance and human raters' performance.…
Descriptors: Scoring, Essays, Computer Assisted Testing, Sentence Structure
Download full textWard, William C.; And Others – 1986
The College Board Computerized Placement Tests are intended for use by two- and four-year colleges in determining whether entering students are prepared for college-level work in English, reading, and mathematics, or whether they need developmental studies. Seventeen colleges and universities participated in pilot testing of the College Board…
Descriptors: Adaptive Testing, Basic Skills, College English, College Faculty
Felder, Jonathan E.; Finney, Joni E.; Kirst, Michael W. – National Center for Public Policy and Higher Education, 2007
"Informed math self-placement," a program implemented at American River College in Sacramento, California, to determine students' readiness for college-level math, has been in place for three years. This case study describes the development and implementation of math self-placement at American River. Math self-placement consists of a…
Descriptors: Program Effectiveness, Algebra, Community Colleges, Case Studies
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
