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Testing Tutor: A Testing Pedagogical Active Learning Platform

Published: 03 March 2022 Publication History

Abstract

Testing Tutor is a web-based platform that helps instructors support software testing pedagogy by automatically diagnosing the fundamental testing concepts (e.g., boundary value) not covered in students' test suite and subsequently helping students initiate their own learning process about those concepts and systematically improve their test suites. The platform's differentiating features include 1) customizable feedback engine which allows instructors to scaffold the level of feedback (varying from conceptual to detailed), 2) a built-in repository of problems instructors can use, 3) access to digital learning content and 4) modes (learning and development) so instructors can scaffold the level of problems. This demo provides a brief overview of the platform and a walkthrough of two example use cases that illustrate the power of Testing Tutor from the perspectives of an instructor and a student. The two use cases will (1) demonstrate using Testing Tutor at different course levels by walking through the steps for an instructor to configure an assignment and the feedback engine and (2) demonstrate the student's experience submitting an assignment and receiving feedback. Information about Testing Tutor can be found at https://testingtutor.org. This work is supported by NSF IUSE grants 2013296 and 2013342.

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  1. Testing Tutor: A Testing Pedagogical Active Learning Platform

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    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
    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

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    Published: 03 March 2022

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    Author Tags

    1. education
    2. pedagogy
    3. testing
    4. tools

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    SIGCSE 2022
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    Overall Acceptance Rate 1,787 of 5,146 submissions, 35%

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    SIGCSE TS 2025
    The 56th ACM Technical Symposium on Computer Science Education
    February 26 - March 1, 2025
    Pittsburgh , PA , USA

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