Revolutionizing language learning beyond tradition in business education 4.0: Artificial intelligence-driven language learning towards english proficiency

Mohammad Rashed Hasan Polas, Asghar Afshar Jahanshahi, Siti Aida Samikon, Tahmina Akter, Md Arif Hosseon Roky

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This study investigates the interplay of attitude, learning environment, motivation, technological adaptability, and self-confidence with English language proficiency, leveraging artificial intelligence (AI) tools within the context of the Business Education 4.0 era among university students in Bangladesh. Methodologically, a quantitative approach was employed, embracing positivism. A stratified randomsampling technique was applied, yielding a sample of 433 university students from five universities who are currently studying at the Department of Business Administration in Dhaka, Bangladesh. Structured surveys were used to collect data from the respondents. To analyze the data, SPSS V.25 was used. Findings reveal a significant positive association between a learning environment and English language proficiency. Technological adaptability, facilitated by AI, positively influences language skills. Self-confidence plays a crucial role, aligning with Bandura's Social Cognitive Theory.

Original languageEnglish
Title of host publicationEnhancing Education With Intelligent Systems and Data-Driven Instruction
PublisherIGI Global
Pages234-271
Number of pages38
ISBN (Electronic)9798369321706
ISBN (Print)9798369321690
DOIs
StatePublished - 4 Mar 2024
Externally publishedYes

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