Artificial Intelligence and Smart Pedagogy: Machine Learning in Digital Media for Language Education
Year: 2025
Type: article
Abstract: This qualitative study explores the experiences, perceptions, and pedagogical practices of language teachers integrating AI-powered language learning tools into their classrooms, aiming to examine pedagogical enhancements and challenges, and their impact on teacher-student interactions and student learning outcomes. The study addresses a significant gap in the literature by investigating the complexities of AI-powered language learning tool integration in real-world classrooms. Utilizing thematic analysis and the Cognitive-Media-Machine Framework as its theoretical foundation, which provides a holistic understanding of the interplay between cognitive processes, media, and machine learning algorithms, the study collects data from 100 language teachers using AI-powered tools in different universities through interview and observation protocols. The findings reveal three nested themes: Pedagogical Enhancements, Technological Challenges, and Student-Centered Learning, highlighting the potential of AI-powered language learning tools to provide personalized feedback and assessment, while underscoring the need for addressing technological challenges and promoting student-centered learning experiences. The study contributes to the existing literature by providing insights into the practical applications and limitations of AI-powered language learning tools, informing language education policy, practice, and research, and highlighting the need for ongoing professional development, technical support, and pedagogical innovation. The research employs a qualitative approach, utilizing thematic analysis to identify emerging themes, and the Cognitive-Media-Machine Framework, which encompasses three key aspects: cognitive processes, media, and machine learning algorithms. The study's key findings emphasize the potential of AI-powered language learning tools to enhance language learning outcomes, while also posing significant technological challenges, and highlighting the importance of promoting student-centered learning experiences. Ultimately, the study addresses a significant gap in the literature, providing valuable insights for language education stakeholders.
DOI: 10.63278/1324
Authors: Ayesha Rashid, Nishat Zafar, Tabassum lqbal, Basim Mir, Saima Asim, Mahnoor Ghani Sheikh, Mudasar Jahan
Institutions: University of Gujrat, University of Lahore
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4409204643