ChatGPT와 python으로 한자교재 만들기

English summary

The video describes a workflow for automatically creating customized Hanja study materials and a printed workbook for elementary school students using Python and ChatGPT or the OpenAI API. After collecting character and dictionary data, the presenter groups characters by similarity, generates example sentences and quizzes with a language model, and formats the materials as HTML and PDF for printing.

Key points

• The workflow extracted 250 Grade 4 Hanja characters from an official Excel file and collected meanings, readings, stroke counts, radicals and components, synonyms, and antonyms from an online Hanja dictionary using Python tools including requests and pandas.
• A similarity_score function incorporated shared radicals or components, overlapping definitions, and synonym or antonym relationships. A full similarity matrix was created, followed by greedy assignment and iterative pairwise-swap optimization to organize the characters into 25 groups of 10 with higher internal similarity.
• Compound words and Four-Character Idioms containing the target characters were collected and filtered so that the maximum difficulty did not exceed Grade 4. Some vocabulary and complex idioms lacked grade-level metadata and therefore required exclusion logic.

Audience

Parents, educators, language learners, programmers, and researchers interested in educational-material automation

Scope and limitations

This summary is limited to the procedures and examples reported in the video. The source does not present independent validation of educational effectiveness, character-data accuracy, completeness of the scraped data, or the naturalness and formatting compliance of generated sentences. The presenter reported that ChatGPT sometimes produced unnatural phrasing or failed to follow required formats, and that substantial portions of the Python logic were generated with ChatGPT because the presenter was not an expert software developer.

Research context

The content has a neutral thematic connection to education and public health through its use of generative AI, data processing, and automated document production for educational materials and learning assessment design.