This entry examines Generative Artificial Intelligence (GenAI), highlighting its transformative potential in education, particularly in Computer-Assisted Language Learning (CALL). GenAI leverages advances in machine learning and neural networks to create personalized content, including text, audio, images, and videos, enhancing teaching and learning experiences. Its applications in CALL include interactive language practice, tailored learning materials, and automated feedback, enabling personalized and efficient instruction. However, the entry also addresses challenges such as ethical concerns, bias, data privacy, and academic integrity. Strategies for developing skills in GenAI use are proposed to ensure educators utilize this technology responsibly and effectively in educational contexts.

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Generative AI

  • Lucas Kohnke

摘要

This entry examines Generative Artificial Intelligence (GenAI), highlighting its transformative potential in education, particularly in Computer-Assisted Language Learning (CALL). GenAI leverages advances in machine learning and neural networks to create personalized content, including text, audio, images, and videos, enhancing teaching and learning experiences. Its applications in CALL include interactive language practice, tailored learning materials, and automated feedback, enabling personalized and efficient instruction. However, the entry also addresses challenges such as ethical concerns, bias, data privacy, and academic integrity. Strategies for developing skills in GenAI use are proposed to ensure educators utilize this technology responsibly and effectively in educational contexts.