阅读(过程)
班级(哲学)
数学教育
心理学
语言学
计算机科学
医学
人工智能
哲学
摘要
The integration of Artificial Intelligence (AI) into middle school English reading classes has gotten a part side intrigued due to its potential to update rules comes about. In any case, high focusing conditions still stay, especially in guaranteeing safe access, moderating biases, and data privacy concerns. This paper analyzes the current applications of AI in middle school English reading class, investigating its benefits, such as personalized learning and moving forward student engagement. The investigation appears that whereas AI offers promising devices for upgrading reading instruction, the fruitful usage of these advances requires cautious thought of infrastructure, information differences, and teacher bolster. Based on these discoveries, this paper proposes a few proposals: progressing infrastructure to guarantee all students have access to AI apparatuses, creating diverse datasets to decrease biases in AI calculations, upgrading data governance to ensure student protection, and giving professional development for teachers to viably coordinated AI into their instructing. By tending to these challenges, AI can be more viably utilized to move forward in middle school English reading results.
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