话语分析提高MOOC视频的有效参与度

Proceedings of the Seventh International Learning Analytics & Knowledge Conference Pub Date : 2017-03-13 DOI:10.1145/3027385.3029470

Thushari Atapattu, K. Falkner

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引用次数: 11

摘要

视频讲座是当前大规模在线开放课程(MOOCs)中最常用的教学方法之一。作为主要的教学形式，学生对MOOC视频的参与行为直接影响着学生的成败。本研究的重点是深入分析编程MOOC的150万个视频交互(如暂停，寻找视频)。我们逐个视频的分析探讨了视频交互随时间变化背后的基本原理。我们的目的是分析语篇特征(如文本的句法简单性和说话率)及其与视频交互模式的相关性。本文提出了初步结果和教育视频设计的启示。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Discourse analysis to improve the effective engagement of MOOC videos

Lecture videos are amongst the most commonly used instructional methods in present Massive Open Online Courses (MOOCs). As the main form of instruction, students' engagement behaviour with MOOC videos directly impacts the students' success or failure. This research focuses on an in-depth analysis of 1.5 million video interactions (e.g. pause, seek video) of a Programming MOOC. Our video-by-video analysis explores the rationale behind the time-wise variation of video interactions. We aim to analyse discourse features (e.g. syntactic simplicity of text, and speaking rate) and their correlation with the video interaction patterns. This paper presents preliminary results and educational video design implications.

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Proceedings of the Seventh International Learning Analytics & Knowledge Conference

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