Leveraging ensemble machine learning and multimodal video complexity for better prediction of video difficulty in second language
Author:
Affiliation:
1. Center for Research Excellence in Artificial Intelligence and Data Science, King Abdulaziz University, Jeddah, Saudi Arabia
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/10494820.2024.2372833
Reference71 articles.
1. The effects of captions on l2 learners’ comprehension of vlogs;Aldukhayel D.;Language Learning & Technology,2021
2. Alghamdi E. A. (2021). Automated video difficulty assessment [PhD thesis]. University of Melbourne. http://hdl.handle.net/11343/279376.
3. The use of lexical complexity for assessing difficulty in instructional videos;Alghamdi E. A.;Language Learning and Technology,2023
4. The Relative Contribution of Language Complexity to Second Language Video Lectures Difficulty Assessment
5. Alghamdi E. A. Velloso E. & Gruba P. (2021). AUVANA: An automated video analysis tool for visual complexity.
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