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Investigation of the Influence of Artificial Intelligence Markup Language-Based LINE ChatBot in Contextual English Learning.
Chien, Yu-Cheng; Wu, Ting-Ting; Lai, Chia-Hung; Huang, Yueh-Min.
Afiliação
  • Chien YC; Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan.
  • Wu TT; Graduate School of Technological and Vocational Education, National Yunlin University of Science and Technology, Yunlin, Taiwan.
  • Lai CH; Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan.
  • Huang YM; Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan.
Front Psychol ; 13: 785752, 2022.
Article em En | MEDLINE | ID: mdl-35465562
This study is intended to create an innovative contextual English learning environment making use of the widely used communication software, LINE ChatBot, based on the Artificial Intelligence Markup Language (AIML), in order to improve speaking and listening ability among learners. A total of 73 students were invited to participate in learning activities involving a 4-week English conversation exercise including both speaking and listening. Additionally, in order to explore the influence of competition on language acquisition, we added competition characteristics to the learning activities in the experimental group to enhance learning motivation and learning outcomes. The results showed that with the help of the LINE ChatBot contextual learning environment, the performance of both groups of students was slightly enhanced, but no significant differences were found. Meanwhile, extrinsic motivation in both the experimental and control group was improved if they spoke anonymously. That is, the contextual learning environment based on the LINE ChatBot significantly improved the learners' English speaking and listening ability. In addition, the results showed that the addition of a competition element effectively enhanced the learners' intrinsic motivation to learn English on the LINE ChatBot.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Psychol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Taiwan País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Psychol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Taiwan País de publicação: Suíça