A system for classifying and clarifying Python syntax errors for educational purposes

Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.

Bibliographic Details
Main Author: Kelley, Anne K., M. Eng. Massachusetts Institute of Technology
Other Authors: Adam Hartz.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2018
Subjects:
Online Access:http://hdl.handle.net/1721.1/119750
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author Kelley, Anne K., M. Eng. Massachusetts Institute of Technology
author2 Adam Hartz.
author_facet Adam Hartz.
Kelley, Anne K., M. Eng. Massachusetts Institute of Technology
author_sort Kelley, Anne K., M. Eng. Massachusetts Institute of Technology
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description Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
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spelling mit-1721.1/1197502019-04-10T13:10:44Z A system for classifying and clarifying Python syntax errors for educational purposes Kelley, Anne K., M. Eng. Massachusetts Institute of Technology Adam Hartz. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 65-66). Many students learning Python frequently encounter syntax errors but have difficulty understanding the error messages and correcting their code. In this thesis, we designed, implemented, and performed preliminary testing of a system for classification of syntax errors commonly made by beginning coders. Errors are classified by constructing a partial syntax tree and analyzing the node containing the error with respect to its surrounding nodes. The system aims to use the classified errors to provide more precise and instructive error messages to aid students in the debugging process. by Anne K. Kelley. M. Eng. 2018-12-18T19:48:27Z 2018-12-18T19:48:27Z 2018 2018 Thesis http://hdl.handle.net/1721.1/119750 1078691087 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 66 pages application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Kelley, Anne K., M. Eng. Massachusetts Institute of Technology
A system for classifying and clarifying Python syntax errors for educational purposes
title A system for classifying and clarifying Python syntax errors for educational purposes
title_full A system for classifying and clarifying Python syntax errors for educational purposes
title_fullStr A system for classifying and clarifying Python syntax errors for educational purposes
title_full_unstemmed A system for classifying and clarifying Python syntax errors for educational purposes
title_short A system for classifying and clarifying Python syntax errors for educational purposes
title_sort system for classifying and clarifying python syntax errors for educational purposes
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/119750
work_keys_str_mv AT kelleyannekmengmassachusettsinstituteoftechnology asystemforclassifyingandclarifyingpythonsyntaxerrorsforeducationalpurposes
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