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A tool for program grading: The Jacksonville university scale

Published: 01 February 1983 Publication History

Abstract

The main purpose of this paper is to discuss about the Jacksonville University Scale, a tool for program grading and it's advantages.

Reference

[1]
Paul B. Diederich, Measuring Growth in English (Urbana, III.:NCTE, 1974).

Cited By

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  • (2020)How Plans Occur in Novices' ProgramsProceedings of the 51st ACM Technical Symposium on Computer Science Education10.1145/3328778.3366870(852-858)Online publication date: 26-Feb-2020
  • (2018)A Closer Look at the Differences Between Graders in Introductory Computer Science ExamsIEEE Transactions on Education10.1109/TE.2018.280570661:3(253-260)Online publication date: Aug-2018
  • (2016)Designing a rubric for feedback on code quality in programming coursesProceedings of the 16th Koli Calling International Conference on Computing Education Research10.1145/2999541.2999555(160-164)Online publication date: 24-Nov-2016
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Information

Published In

cover image ACM SIGCSE Bulletin
ACM SIGCSE Bulletin  Volume 15, Issue 1
Proceedings of the 14th SIGCSE technical symposium on Computer science education
February 1983
301 pages
ISSN:0097-8418
DOI:10.1145/952978
Issue’s Table of Contents
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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 February 1983
Published in SIGCSE Volume 15, Issue 1

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Cited By

View all
  • (2020)How Plans Occur in Novices' ProgramsProceedings of the 51st ACM Technical Symposium on Computer Science Education10.1145/3328778.3366870(852-858)Online publication date: 26-Feb-2020
  • (2018)A Closer Look at the Differences Between Graders in Introductory Computer Science ExamsIEEE Transactions on Education10.1109/TE.2018.280570661:3(253-260)Online publication date: Aug-2018
  • (2016)Designing a rubric for feedback on code quality in programming coursesProceedings of the 16th Koli Calling International Conference on Computing Education Research10.1145/2999541.2999555(160-164)Online publication date: 24-Nov-2016
  • (2014)Towards an empirically validated model for assessment of code qualityProceedings of the 14th Koli Calling International Conference on Computing Education Research10.1145/2674683.2674702(99-108)Online publication date: 20-Nov-2014
  • (1994)On criteria for grading student programsACM SIGCSE Bulletin10.1145/187387.18738926:3(3-7)Online publication date: 1-Sep-1994
  • (1984)Managing and evaluating students in a directed project courseACM SIGCSE Bulletin10.1145/952980.80861616:1(15-25)Online publication date: 1-Jan-1984
  • (1984)Managing and evaluating students in a directed project courseProceedings of the fifteenth SIGCSE technical symposium on Computer science education10.1145/800039.808616(15-25)Online publication date: 1-Jan-1984
  • (2022)Feedback in Context: Using a Code Review Tool for Program GradingProceedings of the 53rd ACM Technical Symposium on Computer Science Education - Volume 110.1145/3478431.3499402(92-97)Online publication date: 22-Feb-2022
  • (2013)What are we thinking when we grade programs?Proceeding of the 44th ACM technical symposium on Computer science education10.1145/2445196.2445339(471-476)Online publication date: 6-Mar-2013
  • (2005)Weighted primary trait analysis for computer program evaluationJournal of Computing Sciences in Colleges10.5555/1060405.106040920:6(14-19)Online publication date: 1-Jun-2005

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