Leveraging ensemble machine learning and multimodal video complexity for better prediction of video difficulty in second language

IF 3.7 3区教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH

Interactive Learning Environments Pub Date : 2024-07-29 DOI:10.1080/10494820.2024.2372833

Emad A. Alghamdi

引用次数: 0

Abstract

Research into multimodal language learning has shown that video materials are engaging and effective in teaching and learning language skills. While previous studies have predominantly focused on h...

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利用集合机器学习和多模态视频复杂性更好地预测第二语言视频难度

对多模态语言学习的研究表明，视频材料在教授和学习语言技能方面具有吸引力和有效性。虽然以前的研究主要集中在语言学习上，但现在的研究则主要集中在语言学习上。

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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来源期刊

Interactive Learning Environments EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

12.10

自引率

11.10%

发文量

249

期刊介绍： Founded in 1990, Interactive Learning Environments publishes peer-reviewed articles on all aspects of the design and use of interactive learning environments in the broadest sense, encompassing environments that support individual learners through to environments that support collaboration amongst groups of learners or co-workers. Relevant domains of application include education and training at all levels, life-long learning and knowledge sharing. Relevant topics for articles include: adaptive systems, learning theory, pedagogy and learning design, the electronically-enhanced classroom, computer mediated communications of all kinds, computer aided assessment, the design and use of virtual learning environments and learning management systems.