基于对话的评估:实时评估和反馈

S. Yildirim-Erbasli, O. Bulut
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引用次数: 1

摘要

近年来,在学习环境技术的应用方面取得了实质性进展,以支持互动和学习。然而,目前的数字评估仍然需要修改,以更有吸引力和更有效的方式衡量学生的学习。基于对话的评估(CBA)通过在考生和代理之间创建对话环境来推进传统的数字评估,每个考生都可以通过自然对话获得正确回答的反馈和错误回答的提示或后续问题。本工作通过讨论cba与传统数字评估的优势和差异,对cba进行了总结。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conversation-Based Assessments: Real-Time Assessment and Feedback
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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