{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T02:10:24Z","timestamp":1769566224147,"version":"3.49.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686448","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T00:00:00Z","timestamp":1769472000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,1,27]]},"abstract":"<jats:p>By leveraging artificial intelligence (AI) agents, this study conducts a data-driven analysis of classical Chinese poetry and prose selections across the entire K-12 curriculum. We design multiple AI agents to identify, extract, and translate classical Chinese texts, enabling a quantitative examination of the evolution of key textual features \u2014 including length, character frequency, semantic content, and dynastic distribution \u2014 across primary school, junior middle school, and senior high school levels. Our findings reveal a clear developmental trajectory: a formal progression from short poetry to lengthy prose; a thematic shift from concrete, sensory imagery toward abstract, philosophical discourse; and the formation of a cultural canon centered on Tang and Song poetry while maintaining historical continuity. These results suggest that textbook compilation is a sophisticated process informed by cognitive load theory, pedagogical sequencing, and cultural transmission, extending well beyond the goal of language skill acquisition.<\/jats:p>","DOI":"10.3233\/faia251693","type":"book-chapter","created":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T13:20:05Z","timestamp":1769520005000},"source":"Crossref","is-referenced-by-count":0,"title":["A Big Data Analysis of Staged Learning in Chinese Textbook Compilation Using AI Agent"],"prefix":"10.3233","author":[{"given":"Wenxuan","family":"Lin","sequence":"first","affiliation":[{"name":"School of Computer Information Engineering, Hanshan Normal University, Chaozhou, China"}]},{"given":"Zhongxing","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Computer Information Engineering, Hanshan Normal University, Chaozhou, China"}]},{"given":"Wei","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer Information Engineering, Hanshan Normal University, Chaozhou, China"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining XI"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA251693","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T13:20:05Z","timestamp":1769520005000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA251693"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,27]]},"ISBN":["9781643686448"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia251693","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,27]]}}}