Artificial Intelligence in Language Learning: Psychological, Educational, and Environmental Perspectives in a Digital Era
Dr. Xiuwen Zhai
Dr. Jun Liu
Special Issue Information
Dear Colleagues,
As artificial intelligence (AI) continues to reshape human society, its integration into education, psychology, and environmental sustainability has profound implications. In language learning, AI-driven systems are transforming traditional pedagogical models, enhancing cognitive development, and redefining human-computer interaction. At the same time, the broader psychological and environmental dimensions of AI in education require deeper exploration, as AI-assisted learning influences not only cognitive and social behaviors but also the sustainability of educational ecosystems.
From a psychological perspective, AI-powered learning environments analyze learners’ cognitive processes, emotional engagement, and behavioral patterns, enabling personalized and adaptive instruction. AI-driven technologies, such as natural language processing and speech recognition, offer real-time feedback and individualized learning paths that optimize motivation and efficiency. However, questions remain regarding AI’s impact on human cognition, attention spans, and social-emotional learning in digital education spaces.
In education, AI is a driving force behind the evolution of blended learning models, bridging the gap between traditional and digital learning. Intelligent tutoring systems, automated assessment tools, and AI-enhanced multilingual communication platforms are revolutionizing global education, making language learning more inclusive and accessible. However, issues such as the digital divide, the ethical implications of AI in education, and the role of teachers in AI-assisted learning environments necessitate further research.
From an environmental perspective, AI’s role in sustainable education practices is gaining attention. Digital and AI-driven learning platforms reduce reliance on printed materials, minimize carbon footprints through virtual learning environments, and optimize resource allocation. However, the increasing demand for AI infrastructure, data processing, and digital consumption raises concerns about energy use, e-waste, and the environmental cost of AI-powered education. How can AI be leveraged to promote sustainable and responsible educational practices while reducing its own ecological impact?
This special issue seeks to explore the intersection of AI, psychology, education, and environmental sustainability in language learning. We invite interdisciplinary research contributions that address the challenges and opportunities AI presents in reshaping human cognition, educational methodologies, and environmental consciousness.
Dr. Zhai Xiuwen,
Dr. Liu Jun
Guest Editors