Educational Technology
Educational technology research currently focuses on leveraging artificial intelligence, particularly large language models (LLMs) and deep learning architectures like BERT, to personalize learning experiences, automate assessment, and improve accessibility. Key areas of investigation include adaptive learning systems based on student learning styles and performance data, AI-powered tools for algorithmic thinking assessment, and the ethical implications of AI in education, such as bias mitigation and the impact on teacher agency. These advancements aim to enhance learning outcomes, optimize resource allocation, and address persistent inequalities in education.
Papers
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