Scholarlink

The use of technology in language teaching improves students’ language skills through various resources such as online dictionaries, language learning softwares and interactive multimedia materials. These technological tools provide efficient learning environments through mobile learning and information and communication technology (ICT) tools by increasing language skills and general competencies. The use of ICT in education is supported by digital tools such as YouTube videos, digital posters and language teaching apps. The use of technology is important to increase students’ motivation and to broaden their learning horizons. Moreover, YouTube is used as a significant tool in language learning and helps students improve their speaking and listening skills. Common European Framework of Reference for Languages (CEFR) is widely used in language teaching and aims to improve communication skills. This study aims to examine the vocabulary used in the videos broadcasted on BBC Learning English Channel within the scope of CEFR and to evaluate the audience comments. The data of the research consists of 2251 videos with subtitles broadcast on BBC Learn English Channel between 08.04.2014 and 30.05.2024 and 50759 comments. The data went through preprocessing steps such as converting letters to lower case, removing punctuation marks, removing stop words, and obtaining basic word forms with the Snowball Stemmer method. Bigrams and trigrams are created based on viewer comments, and then 10 topics and 10 sub-words are identified through Latent Dirichlet Allocation (LDA) analysis. The most frequently used 500 words from the video subtitles are extracted using an application developed with the Python programming language and are classified according to CEFR levels. When the audience comments are analyzed by the LDA Topic analysis method, it is detected that they help facilitate language learning, are entertaining, and are useful in terms of enhancing vocabulary. In addition, the quiz sections are liked, and the videos are effective with regard to comprehension. For the most part, the videos have positive effects on language learning, and the audience is satisfied.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Examining the Audience Comments of the BBC Learning English Channel Videos with LDA Topic Analysis

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Uğurcan Sert,
  • Ömür Tosun

摘要

The use of technology in language teaching improves students’ language skills through various resources such as online dictionaries, language learning softwares and interactive multimedia materials. These technological tools provide efficient learning environments through mobile learning and information and communication technology (ICT) tools by increasing language skills and general competencies. The use of ICT in education is supported by digital tools such as YouTube videos, digital posters and language teaching apps. The use of technology is important to increase students’ motivation and to broaden their learning horizons. Moreover, YouTube is used as a significant tool in language learning and helps students improve their speaking and listening skills. Common European Framework of Reference for Languages (CEFR) is widely used in language teaching and aims to improve communication skills. This study aims to examine the vocabulary used in the videos broadcasted on BBC Learning English Channel within the scope of CEFR and to evaluate the audience comments. The data of the research consists of 2251 videos with subtitles broadcast on BBC Learn English Channel between 08.04.2014 and 30.05.2024 and 50759 comments. The data went through preprocessing steps such as converting letters to lower case, removing punctuation marks, removing stop words, and obtaining basic word forms with the Snowball Stemmer method. Bigrams and trigrams are created based on viewer comments, and then 10 topics and 10 sub-words are identified through Latent Dirichlet Allocation (LDA) analysis. The most frequently used 500 words from the video subtitles are extracted using an application developed with the Python programming language and are classified according to CEFR levels. When the audience comments are analyzed by the LDA Topic analysis method, it is detected that they help facilitate language learning, are entertaining, and are useful in terms of enhancing vocabulary. In addition, the quiz sections are liked, and the videos are effective with regard to comprehension. For the most part, the videos have positive effects on language learning, and the audience is satisfied.