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Proprietary LLMs can match human educators in delivering relevant answers from curated lecture videos, potentially transforming how programming education leverages AI.
Students engaged in a bot-driven election simulation failed to improve their ability to spot misinformation, challenging the effectiveness of traditional digital literacy strategies.
Fine-tuning smaller, open-source LLMs on a targeted dataset can rival the performance of larger, proprietary models for explaining compiler errors, offering a cost-effective and privacy-preserving solution for educational tools.
