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Predicting success in programmer training

Published: 20 July 1964 Publication History

Abstract

The purpose of this study was to further explore the possibility of using cognitive tests for predicting success in programming training. While many studies have been reported indicating various correlations between cognitive tests and supervision ratings of actual job performance, little has been done in the area of predicting success in training. There also has been a lack of research in establishing a definite relationship between success in training and success on the job. Yet it was felt that a candidate for a programmer's position must at least be able to be trained before his work can be evaluated.

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  • (2023)Predicting Students’ Outcome in an Introductory Programming Course: Leveraging the Student BackgroundApplied Sciences10.3390/app13211199413:21(11994)Online publication date: 3-Nov-2023
  • (2022)Using machine learning techniques to predict academic success in an introductory programming course2022 41st International Conference of the Chilean Computer Science Society (SCCC)10.1109/SCCC57464.2022.10000360(1-8)Online publication date: 21-Nov-2022
  • (2014)No tests requiredProceedings of the 45th ACM technical symposium on Computer science education10.1145/2538862.2538930(469-474)Online publication date: 5-Mar-2014
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SIGCPR '64: Proceedings of the second SIGCPR conference on Computer personnel research
July 1964
174 pages
ISBN:9781450378116
DOI:10.1145/1142635
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 July 1964

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Cited By

View all
  • (2023)Predicting Students’ Outcome in an Introductory Programming Course: Leveraging the Student BackgroundApplied Sciences10.3390/app13211199413:21(11994)Online publication date: 3-Nov-2023
  • (2022)Using machine learning techniques to predict academic success in an introductory programming course2022 41st International Conference of the Chilean Computer Science Society (SCCC)10.1109/SCCC57464.2022.10000360(1-8)Online publication date: 21-Nov-2022
  • (2014)No tests requiredProceedings of the 45th ACM technical symposium on Computer science education10.1145/2538862.2538930(469-474)Online publication date: 5-Mar-2014
  • (1973)Psychological testing in computing staff selectionACM SIGCPR Computer Personnel10.1145/1036514.10365154:1-2(2-5)Online publication date: 1-Apr-1973
  • (1972)Staffing the MIS FunctionACM Computing Surveys10.1145/356608.3566114:4(241-259)Online publication date: 1-Dec-1972
  • (1970)The selection and training of computer personnel at the social security administrationProceedings of the May 5-7, 1970, spring joint computer conference10.1145/1476936.1477043(711-717)Online publication date: 5-May-1970
  • (1968)Selection and evaluation of computer personnel- the research history of SIG/CPRProceedings of the 1968 23rd ACM national conference10.1145/800186.810630(657-670)Online publication date: 1-Jan-1968
  • (1967)Computer personnel researchProceedings of the fifth SIGCPR conference on Computer personnel research10.1145/1142662.1142664(5-41)Online publication date: 26-Jun-1967
  • (1965)A study of the effect of attitudes on the learning of computer programmingProceedings of the third annual computer personnel research conference10.1145/800271.810887(68-74)Online publication date: 1-Jan-1965

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