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Conversation-Based Assessments: Real-Time Assessment and Feedback

Published:22 December 2021Publication History
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Abstract

In recent years, substantial progress has been made in the application of technology for learning environments to support interaction and learning. However, current digital assessments still need to be modified to measure student learning in more engaging and effective ways. Conversation-based assessment (CBA) advances the conventional digital assessments by creating a conversational environment between test-takers and agents where each test-taker receives feedback for their correct responses and hints or follow-up questions for their incorrect responses through a natural conversation. This work provides a summary of CBAs by discussing their advantages and differences from conventional digital assessments.

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  • Published in

    cover image eLearn
    eLearn  Volume 2021, Issue 12
    December 2021
    12-01-2021
    EISSN:1535-394X
    DOI:10.1145/3508017
    Issue’s Table of Contents

    Copyright © 2021 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 22 December 2021

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