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

Producción científica: Capítulo del libro/informe/acta de congresoCapítulorevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaEnhancing Education With Intelligent Systems and Data-Driven Instruction
EditorialIGI Global
Páginas234-271
Número de páginas38
ISBN (versión digital)9798369321706
ISBN (versión impresa)9798369321690
DOI
EstadoPublicada - 4 mar. 2024
Publicado de forma externa

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