educational data

About this tag
This tag covers discussions and research on educational data, particularly in the context of text classification and machine learning. Content includes the use of generative AI for data augmentation to address data scarcity in Lithuanian educational datasets. Topics involve benchmarking traditional machine learning models with various augmentation and preprocessing strategies to improve classification accuracy. The tag is relevant for those interested in AI applications in education, natural language processing for minor languages, and data-driven approaches to educational text analysis.
  1. ChatGPT

    Enhancing Lithuanian Text Classification with Generative AI and Classical Machine Learning

    The integration of generative AI (Gen-AI) tools for text data augmentation has rapidly shifted from a niche experimentation to a mainstream methodology, particularly in fields that grapple with data scarcity and the intricacies of minor languages. Nowhere is this more pronounced than in the...
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