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Using a Linear Regression Model for Item Selection in C. A. I [microform] / Paul Lorton, Jr. and Barbara W. Searle
Bib ID 5304116
Format BookBook, MicroformMicroform, OnlineOnline
Author
Lorton, Paul, Jr
 
Online Versions
Description [Washington, D.C.] : Distributed by ERIC Clearinghouse, 1976 
23 p. 
Summary

A linear regression model was used to select items from a pool of 700 arithmetic word problems to be used in a computer-assisted mathematics curriculum for elementary school students. The experimental procedure first involved a stepwise linear regression analysis of a student's performance over a set of 25 problems. The probability correct for each of the 700 problems was then predicted and the next 25 problems were selected for the student by matching predicted probability correct with the probability correct assigned to the student at the beginning of the study. The results showed a close match between the predicted and obtained probability correct when the experimental groups were evaluated. (Author/CH)

Notes

ERIC Note: Paper presented at the American Educational Research Association Annual Conference (San Francisco, California, April 21, 1976).

May also be available online. Address as at 14/8/18: https://eric.ed.gov/

Reproduction Microfiche. [Washington D.C.]: ERIC Clearinghouse microfiches : positive. 
Subjects Computer Assisted Instruction.  |  Computer Oriented Programs.  |  Correlation.  |  Elementary School Mathematics.  |  Elementary School Students.  |  Individualized Instruction.  |  Item Analysis.  |  Item Sampling.  |  Mathematics Curriculum.  |  Mathematics Instruction.  |  Models.  |  Performance Factors.  |  Prediction.  |  Predictor Variables.  |  Regression (Statistics)  |  Statistical Analysis.  |  Interactive Computer Systems
Form/genre Speeches/Meeting Papers.
Other authors/contributors Searle, Barbara W., author
Available From ERIC 
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035 |9(ericd)ED124200
037 |aED124200|bERIC
040 |aericd|beng|cericd|dMvI
091 |amfm
100 1 |aLorton, Paul,|cJr.
245 1 0 |aUsing a Linear Regression Model for Item Selection in C. A. I|h[microform] /|cPaul Lorton, Jr. and Barbara W. Searle.
260 |a[Washington, D.C.] :|bDistributed by ERIC Clearinghouse,|c1976.
300 |a23 p.
500 |aERIC Note: Paper presented at the American Educational Research Association Annual Conference (San Francisco, California, April 21, 1976).|5ericd
520 |aA linear regression model was used to select items from a pool of 700 arithmetic word problems to be used in a computer-assisted mathematics curriculum for elementary school students. The experimental procedure first involved a stepwise linear regression analysis of a student's performance over a set of 25 problems. The probability correct for each of the 700 problems was then predicted and the next 25 problems were selected for the student by matching predicted probability correct with the probability correct assigned to the student at the beginning of the study. The results showed a close match between the predicted and obtained probability correct when the experimental groups were evaluated. (Author/CH)
530 |aMay also be available online. Address as at 14/8/18:|uhttps://eric.ed.gov/
533 |aMicrofiche.|b[Washington D.C.]:|cERIC Clearinghouse|emicrofiches : positive.
650 1 7 |aComputer Assisted Instruction.|2ericd
650 0 7 |aComputer Oriented Programs.|2ericd
650 0 7 |aCorrelation.|2ericd
650 1 7 |aElementary School Mathematics.|2ericd
650 0 7 |aElementary School Students.|2ericd
650 1 7 |aIndividualized Instruction.|2ericd
650 0 7 |aItem Analysis.|2ericd
650 0 7 |aItem Sampling.|2ericd
650 0 7 |aMathematics Curriculum.|2ericd
650 0 7 |aMathematics Instruction.|2ericd
650 0 7 |aModels.|2ericd
650 0 7 |aPerformance Factors.|2ericd
650 0 7 |aPrediction.|2ericd
650 1 7 |aPredictor Variables.|2ericd
650 1 7 |aRegression (Statistics)|2ericd
650 1 7 |aStatistical Analysis.|2ericd
653 0 |aInteractive Computer Systems
655 7 |aSpeeches/Meeting Papers.|2ericd
700 1 |aSearle, Barbara W.,|eauthor.
856 4 1 |uhttps://eric.ed.gov/?id=ED124200
984 |aANL|cmc 2253 ED124200|d77000000136049
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