Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…

Worked examples, which present an explained code for solving typical programming problems are among the most popular types of learning content in programming classes. Most approaches and tools for presenting these examples to students are based on line-by-line explanations of the example code. However, instructors rarely have time to provide…

Intertextuality, defined as the presence of one text within another, is a powerful tool in shaping media narratives and engaging audiences. This study explores intertextuality in Kazakh, Russian, and English-language media, examining how precedent expressions like quotes, allusions, proverbs, and aphorisms sued as media texts interact across…