Descriptor
| Computer Programs | 6 |
| Error Patterns | 6 |
| Algorithms | 2 |
| Artificial Intelligence | 2 |
| Mathematical Models | 2 |
| Spelling | 2 |
| Statistical Analysis | 2 |
| Algebra | 1 |
| Bayesian Statistics | 1 |
| Cognitive Development | 1 |
| Cognitive Processes | 1 |
| More ▼ | |
Source
| Information Processing and… | 2 |
Author
| Fawthrop, D. | 2 |
| Yannakoudakis, E. J. | 2 |
| Feurzeig, Wallace | 1 |
| Pohlmann, John T. | 1 |
| VanLehn, Kurt | 1 |
| Wilcox, Rand | 1 |
Publication Type
| Reports - Research | 6 |
| Journal Articles | 2 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
| Researchers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedYannakoudakis, E. J.; Fawthrop, D. – Information Processing and Management, 1983
Results of analysis of 1,377 spelling error forms including three categories of spelling errors (consonantal, vowel, and sequential) demonstrate that majority of spelling errors are highly predictable when set of predefined rules based on phonological and sequential considerations are followed algorithmically. Eleven references and equivalent…
Descriptors: Algorithms, Computer Programs, Consonants, Error Patterns
Peer reviewedYannakoudakis, E. J.; Fawthrop, D. – Information Processing and Management, 1983
This paper describes an intelligent spelling error correction system for use in a word processing environment. The system employs a dictionary of 93,769 words and, provided the intended word is in the dictionary, it identifies 80 percent to 90 percent of spelling and typing errors. Nine references are cited. (Author/EJS)
Descriptors: Algorithms, Artificial Intelligence, Computer Programs, Dictionaries
Download full textPohlmann, John T. – 1979
Three procedures used to control Type I error rate in stepwise regression analysis are forward selection, backward elimination, and true stepwise. In the forward selection method, a model of the dependent variable is formed by choosing the single best predictor; then the second predictor which makes the strongest contribution to the prediction of…
Descriptors: Computer Programs, Error Patterns, Mathematical Models, Multiple Regression Analysis
Wilcox, Rand – 1977
False-positive and false-negative dicisions are the fundamental errors committed with a mastery test; yet the estimation of the likelihood of committing these errors has not been investigated. Accordingly, two methods of estimating the likelihood of committing these errors are described and then investigated using Monte Carlo techniques.…
Descriptors: Bayesian Statistics, Computer Programs, Error Patterns, Item Analysis
Feurzeig, Wallace; And Others – 1976
Instructor diagnosis of pilot trainee errors was studied in the context of instrument flying using a computer simulation system called ORLY. ORLY was used to record student pilot runs on a number of instrument flying tasks. These runs were subsequently replayed to instructor pilots who diagnosed student errors and hypothesized the underlying…
Descriptors: Computer Assisted Instruction, Computer Programs, Diagnostic Teaching, Educational Diagnosis
VanLehn, Kurt – 1983
A theory of how people learn certain procedural skills is presented. It is based on the idea that the teaching and learning that goes on in a classroom is like an ordinary conversation. The speaker (teacher) compresses a non-linear knowledge structure (the target procedure) into a linear sequence of utterances (lessons). The listener (student)…
Descriptors: Algebra, Artificial Intelligence, Cognitive Development, Cognitive Processes
