22 papers · avg viability 3.2 · preview
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The integration of AI in education is transforming teaching and learning processes, with applications ranging from AI teaching assistants to intelligent tutoring systems. Recent studies demonstrate the effectiveness of AI tools in enhancing student engagement and understanding, particularly in programming and mathematics. For instance, AI-driven assessments can provide scalable feedback and verify students' comprehension, while personalized problem generation systems allow educators to tailor tasks to individual learner needs. However, challenges such as AI dependency among students and the need for robust pedagogical frameworks remain. Addressing these issues is crucial for educators and developers to ensure that AI tools support rather than undermine essential academic skills. As educational institutions adapt to these innovations, the focus must be on balancing technological advancements with pedagogical integrity to foster effective learning environments.
AI is reshaping education by providing personalized learning experiences and scalable feedback, but it also raises concerns about student dependency and the need for effective pedagogical frameworks.