Artificial Intelligence for Video-based Learning at Scale

Kyoungwon Seo, S. Fels, Dongwook Yoon, Ido Roll, Samuel Dodson, Matthew Fong
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引用次数: 9

Abstract

Video-based learning (VBL) is widespread; however, there are numerous challenges when teaching and learning with video. For instructors, creating effective instructional videos takes considerable time and effort. For students, watching videos can be a passive learning activity. Artificial intelligence (AI) has the potential to improve the VBL experience for students and teachers. This half-day workshop will bring together multi-disciplinary researchers and practitioners to collaboratively envision the future of VBL enhanced by AI. This workshop will be comprised of a group discussion followed by a presentation session. The goal of the workshop is to facilitate the cross-pollination of design ideas and critical assessments of AI approaches to VBL.
大规模视频学习的人工智能
基于视频的学习(VBL)非常普遍;然而,在使用视频教学时存在许多挑战。对于教师来说,制作有效的教学视频需要花费大量的时间和精力。对学生来说,看视频是一种被动的学习活动。人工智能(AI)有可能改善学生和教师的VBL体验。这个为期半天的研讨会将汇集多学科的研究人员和实践者,共同展望人工智能增强的VBL的未来。本次工作坊将由小组讨论和演讲组成。研讨会的目标是促进设计思想的交流和人工智能方法对VBL的批判性评估。
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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