AN EVALUATION OF STUDENT ATTITUDES TOWARD AI-DRIVEN LANGUAGE LEARNING TOOLS
DOI:
https://doi.org/10.5281/zenodo.20443474Keywords:
artificial intelligence, language learning, AI-driven tools, student attitudes, educational technology, foreign language education, digital learning.Abstract
This study investigates student attitudes toward AI-driven language learning tools in foreign language education. The research examines the effectiveness, advantages, and challenges of artificial intelligence technologies in developing language skills. A quantitative research method was applied through questionnaires distributed among university students. The findings demonstrate that most learners positively evaluate AI-based educational tools due to their accessibility, interactivity, and personalized learning opportunities. However, certain concerns related to academic integrity and overdependence on technology were also identified. The study highlights the growing significance of artificial intelligence in modern language education and suggests practical recommendations for its effective implementation in educational environments.References
Baker, M. In Other Words: A Coursebook on Translation. Routledge, 2018.
Chomsky, N. Syntactic Structures. Mouton, 1957.
Holmes, W., Bialik, M., & Fadel, C. Artificial Intelligence in Education. Center for Curriculum Redesign, 2019.
Luckin, R. Machine Learning and Human Intelligence. UCL Institute of Education Press, 2018.
Nida, E. Toward a Science of Translating. Brill, 1964.
Richards, J. C., & Rodgers, T. S. Approaches and Methods in Language Teaching. Cambridge University Press, 2014.
Warschauer, M. Technology and Social Inclusion: Rethinking the Digital Divide. MIT Press, 2003.
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