Shift Error Detection in Standardized Exams

Skiena, Steven; Sumazin, Pavel

doi:10.1007/3-540-45123-4_23

Cited by 2 publications

(1 citation statement)

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“…• Shift Error Detection in Standardized Exams -We [3] have developed pattern recognition algorithms designed to identify shift errors in noisy sequences, with a particular application of identifying miss-marking errors on multiple choice, standardized examinations. Based on our analysis of over 100,000 SAT exams, we now have very convincing evidence that more than 2% of all students suffer from such errors on their SAT exams.…”

Section: Graph and Combinatorial Algorithmsmentioning

confidence: 99%

Heuristic Approaches to Optimization With Applications

Skiena¹

2000

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ResultsThis progress report covers the twelve months of funding on this grant since my previous progress report (August 1999). This grant covers two distinct lines of work: (1) the development of algorithms and implementations of heuristic search with applications, and (2) theoretical research on combinatorial algorithms and optimization. As detailed below, substantial progress has been made in both areas since my last progress report.The renewal grant began on January 1, 2000. This grant is supporting four PhD students starting September 1, meeting the scheduled expenditure for this fiscal year. Our work has proven interesting to a large number of Navy personnel, as documented by the WWW hits below. Environments for Combinatorial ComputingWe have made progress this year on several projects related to combinatorial computing:• Enhancements to Combinatorica -We [1] have made substantial progress on our effort to build an improved version of our combinatorial computing environment Combinatorica. Our primary goals are improved algorithmic performance and a better user interface. We have completed an alpha-release of the software, as well as documentation of the new features; all available at

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Section: Graph and Combinatorial Algorithmsmentioning

confidence: 99%