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Using Subgoal Labeling in Teaching CS1

Published:03 March 2022Publication History

ABSTRACT

Subgoal labeling is an instructional design framework for breaking down problems into pieces that are small enough for novices to grasp, and often difficult for instructors (i.e., experts) to articulate. Subgoal labels have been shown to improve student performance during problem solving in many disciplines, including computing. Improved student performance occurs because subgoal labels improve student transfer and retention of knowledge. With support from NSF (DUE-1712025, 1712231, 1927906, 2110156, 2111578), subgoal labels have been identified and integrated into a CS1 course (variables, expressions, conditionals, loops, arrays, classes) and an e-book has been created on the Runestone platform to enable students to complete practice problems using the subgoals. This workshop will introduce participants to the materials and demonstrate how the subgoal labels and worked examples are integrated throughout the course. Materials include nearly 50 worked examples and 300 practice problems that increase in complexity and difficulty within each topic. The materials are designed to be integrated into CS1 courses as homework or classroom examples and activities. Assessment of topics using subgoal labels will also be discussed. Participants will leave with access to the e-book containing worked examples and practice problems for common topics in an imperative Java-based CS1 and will also engage in an activity where they create an example for their own course using subgoal labels.

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  1. Using Subgoal Labeling in Teaching CS1

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  • Published in

    cover image ACM Conferences
    SIGCSE 2022: Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2
    March 2022
    254 pages
    ISBN:9781450390712
    DOI:10.1145/3478432

    Copyright © 2022 Owner/Author

    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.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 3 March 2022

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    Overall Acceptance Rate1,595of4,542submissions,35%

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