通过自动生成问题对在线学习者进行实时认知评估

Ritu Gala, Revathi Vijayaraghavan, V. Nikam, A. Kiwelekar
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引用次数: 1

摘要

随着电子学习平台的日益普及,让在线学习者在整个课程中保持参与是一项挑战。解决这一挑战的一种方法是通过问问题来定期探索学习者。本文提出了一种从给定的视频讲座中自动生成问题的方法。生成的问题旨在评估学习者的低级认知能力。该方法自动从视频讲座中提取文本,以生成不同类型的问题。当学习者给出答案时,建议的方法会进一步评估反应并提供反馈。除了提高学习者的参与度外,这种方法的主要好处是它使教师免于设计问题来检查对主题的理解。因此,教师可以将这些时间有效地花在其他活动上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-Time Cognitive Evaluation of Online Learners through Automatically Generated Questions
With the increased adoption of E-learning platforms, keeping online learners engaged throughout a lesson is challenging. One approach to tackle this challenge is to probe learners periodically by asking questions. The paper presents an approach to generate questions from a given video lecture automatically. The generated questions are aimed to evaluate learners' lower-level cognitive abilities. The approach automatically extracts text from video lectures to generate wh-kinds of questions. When learners respond with an answer, the proposed approach further evaluates the response and provides feedback. Besides enhancing learner's engagement, this approach's main benefits are that it frees instructors from designing questions to check the comprehension of a topic. Thus, instructors can spend this time productively on other activities.
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