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abstract

The Role of Chronology in Analyzing Introductory Programming Assignments (Abstract Only)

Published: 17 February 2016 Publication History

Abstract

Entry-level college programming courses have high failure rates, which lead to high dropout rates for associated majors. These courses typically cover fundamental programming concepts for students to master in order to succeed in their majors. When attempting to perceive a student's competency, instructors often utilize Automated Assessment Tools, but most tools do not fully record student progress in assignments. Access to the student's problem solving steps can provide educators a more complete understanding of the student's thought process. Our tool tracks the student's steps and sequencing while attempting to complete assignments. With this resource, teaching methodologies can be modified to more effectively foster successful problem-solving strategies within early programming courses.

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  1. The Role of Chronology in Analyzing Introductory Programming Assignments (Abstract Only)

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      cover image ACM Conferences
      SIGCSE '16: Proceedings of the 47th ACM Technical Symposium on Computing Science Education
      February 2016
      768 pages
      ISBN:9781450336857
      DOI:10.1145/2839509
      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 17 February 2016

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      Author Tags

      1. automated assessment tool
      2. cs1
      3. problem solving
      4. programming concepts
      5. sequencing

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      SIGCSE '16
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      Acceptance Rates

      SIGCSE '16 Paper Acceptance Rate 105 of 297 submissions, 35%;
      Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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