Investigating generative AI models and detection techniques: impacts of tokenization and dataset size on identification of AI-generated text.

Generative AI models, including ChatGPT, Gemini, and Claude, are increasingly significant in enhancing K-12 education, offering support across various disciplines. These models provide sample answers for humanities prompts, solve mathematical equations, and brainstorm novel ideas. Despite their educational value, ethical concerns have emerged regarding their potential to mislead students into copying answers directly from AI when completing assignments, assessments, or research papers.