VideoDL: Video-Based Digital Learning Framework Using AI Question Generation and Answer Assessment

International Association of Online Engineering

article

Abdur Rahim Mohammad Forkan¹  Yong-Bin Kang²  Prem Prakash Jayaraman²  Hung Du³  Steven Thomson³  Elizabeth Kollias³  Natalie Wieland⁴ 

[1]Swinburne University of Technoogy

[2]Swinburne University of Technology

[3]Vidversity

[4]VidVersity

关键词: Video-based Learning;    Question Generation;    Learning Assessment;    Online Learning;   

DOI  :  10.3991/ijac.v16i1.35207

学科分类：社会科学、人文和艺术（综合）

来源: International Association of Online Engineering

【 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.

【 授权许可】

Unknown