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VideoDL: Video-Based Digital Learning Framework Using AI Question Generation and Answer Assessment
[摘要] Assessing learners’ understanding and competency in video-based digital learning is time-consuming and very difficult for educators, as it requires the generation of accurate and valid questions from pre-recorded learning videos. This paper demonstrates VideoDL, a video-based learning framework powered by Artificial Intelligence (AI) that supports automatic question generation and answer assessment from videos. VideoDL comprises of various AI algorithms, and an interactive web-based user interface (UI) developed using the principles of human-centred design. Our empirical evaluation using real-world videos from multiple domains demonstrates the effectiveness of VideoDL.
[发布日期]  [发布机构] 
[效力级别]  [学科分类] 社会科学、人文和艺术(综合)
[关键词] Video-based Learning;Question Generation;Learning Assessment;Online Learning [时效性] 
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