{"id":1461,"date":"2026-06-14T03:18:34","date_gmt":"2026-06-13T19:18:34","guid":{"rendered":"https:\/\/aifed.now\/conference\/?page_id=1461"},"modified":"2026-06-14T03:18:34","modified_gmt":"2026-06-13T19:18:34","slug":"%e4%b8%bb%e9%a1%8c%e4%ba%8c%ef%bc%9a%e6%95%99%e5%ad%b8%e5%af%a6%e8%b8%90-%e6%a5%8a%e6%89%bf%e7%a9%8e-ai%e8%a9%a9%e8%a9%9e%e5%ad%b8%e7%bf%92%e6%ad%a5%e9%81%93%ef%bc%9a%e5%a4%9a%e6%a8%a1%e6%85%8b","status":"publish","type":"page","link":"https:\/\/aifed.now\/conference\/?page_id=1461","title":{"rendered":"\u4e3b\u984c\u4e8c\uff1a\u6559\u5b78\u5be6\u8e10 \/ \u694a\u627f\u7a4e \/ AI\u8a69\u8a5e\u5b78\u7fd2\u6b65\u9053\uff1a\u591a\u6a21\u614b\u5b78\u7fd2\u7cfb\u7d71\u8a2d\u8a08"},"content":{"rendered":"<\/p>\n<h3>AI\u8a69\u8a5e\u5b78\u7fd2\u6b65\u9053\uff1a\u591a\u6a21\u614b\u5b78\u7fd2\u7cfb\u7d71\u8a2d\u8a08<\/h3>\n<\/p>\n<div style=\"display: flex; align-items: center; gap: 15px;\">\n<p>  <img decoding=\"async\" width=\"200\" src=\"https:\/\/aifed.now\/conference\/wp-content\/uploads\/wpxform-uploads\/1779729268eea183a416-18-\u500b\u4eba\u76f8\u7247.png\" alt=\"\u694a\u627f\u7a4e\" style=\"box-shadow: 4px 4px 10px 0px rgba(0, 0, 0, 0.2)\" \/><\/p>\n<p>  <strong>\u8b1b\u8005\/Speaker\uff1a<\/strong> <span style=\"font-weight:bold; line-height:1.5em; background-color:#e7f49c; padding:0px 2px; border:1px; border-radius:10px;\"> \u694a\u627f\u7a4e, YANG CHENG-YING <\/span>  <\/p>\n<\/div>\n<p><\/p>\n<div style=\"line-height:1.2em; background-color: #ffffff; margin: 5px; border:1px #19130B solid; border-radius:10px; padding:10px; box-shadow: 4px 4px 10px 0px rgba(0, 0, 0, 0.2)\">\n<p>\u672c\u7814\u7a76\u4ee5\u300cAI\u8a69\u8a5e\u5b78\u7fd2\u6b65\u9053\u300d\u70ba\u6838\u5fc3\uff0c\u5f9e\u570b\u5c0f\u53e4\u8a69\u6559\u5b78\u5e38\u898b\u7684\u300c\u6703\u80cc\u537b\u4e0d\u61c2\u3001\u80fd\u5ff5\u537b\u7121\u611f\u300d\u75db\u9ede\u51fa\u767c\uff0c\u5efa\u69cb\u4e00\u5957\u9069\u7528\u570b\u5c0f\u5168\u5e74\u7d1a\u7684\u591a\u6a21\u578b\u5354\u4f5c\u8207\u591a\u6a21\u614b\u5b78\u7fd2\u7cfb\u7d71\u3002\u7cfb\u7d71\u6574\u5408 Gemini \u751f\u6210\u5f0f AI\u3001\u898f\u5247\u5f0f\u554f\u7b54\u5f15\u64ce\u3001\u5716\u50cf\u8fa8\u8b58\u3001\u8868\u60c5\u8fa8\u8b58\u3001\u8a9e\u97f3\u4e92\u52d5\u8207\u8072\u97f3\u5206\u6790\uff0c\u8b93\u5b78\u751f\u80fd\u900f\u904e\u6587\u5b57\u63d0\u554f\u3001\u8a9e\u97f3\u5c0d\u8a71\u3001\u770b\u5716\u731c\u8a69\u3001\u5fc3\u60c5\u914d\u8a69\u3001\u6717\u8b80\u7df4\u7fd2\u8207\u8a69\u610f\u8f49\u8b6f\uff0c\u5f9e\u80cc\u8aa6\u8d70\u5411\u7406\u89e3\u3001\u5f9e\u89c0\u770b\u8d70\u5411\u8868\u9054\u3001\u5f9e\u63a5\u53d7\u7b54\u6848\u8d70\u5411\u4e3b\u52d5\u5275\u4f5c\u3002\u7814\u7a76\u5efa\u7f6e 83 \u9996\u8a69\u8a5e\u8cc7\u6599\u5eab\u300120 \u985e\u610f\u8c61\u30015 \u985e\u60c5\u7dd2\u6a19\u7c64\u8207 15 \u985e\u554f\u7b54\u610f\u5716\uff0c\u4e26\u4ee5 Top-1 \u8a55\u4f30\u5b8c\u6210\u8868\u60c5\u63a8\u85a6\u547d\u4e2d\u7387 86.9%\u3001\u7269\u54c1\u610f\u8c61\u63a8\u85a6\u547d\u4e2d\u7387 80.5%\u3002\u8ab2\u5802\u5be6\u4f5c\u56de\u6536\u554f\u5377\uff0c\u986f\u793a\u5b78\u751f\u80af\u5b9a\u7cfb\u7d71\u6613\u7528\u6027\u3001\u6717\u8b80\u652f\u67b6\u8207\u5b78\u7fd2\u52d5\u6a5f\u3002\u672c\u6848\u4e0d\u53ea\u662f AI \u5de5\u5177\u5c55\u793a\uff0c\u800c\u662f\u5c07\u6821\u672c\u8a69\u8a5e\u6559\u6750\u8f49\u5316\u70ba\u53ef\u4e92\u52d5\u3001\u53ef\u9a57\u8b49\u3001\u53ef\u63a8\u5ee3\u7684\u667a\u6167\u8a9e\u6587\u5b78\u7fd2\u6a21\u5f0f\uff0c\u8b93 AI \u6210\u70ba\u966a\u4f34\u5b78\u751f\u8d70\u9032\u8a69\u3001\u7406\u89e3\u8a69\u3001\u8aaa\u51fa\u8a69\u8207\u5275\u9020\u8a69\u7684\u5b78\u7fd2\u5925\u4f34\u3002<\/p>\n<p>\u00a0<\/p>\n<hr\/>\n<p>This project, AI Poetry Learning Pathway, addresses a common challenge in elementary poetry instruction: students can often recite classical poems, yet struggle to visualize poetic imagery, understand emotions, and express meaning in their own words. To transform poetry learning from memorization into interaction, this project develops a multimodal AI learning system for elementary students across grade levels. The system integrates Gemini, a rule-based question-answering engine, image recognition, facial expression recognition, speech interaction, and audio analysis, enabling students to learn through asking, listening, speaking, viewing, reading, interpreting, and creating.<\/p>\n<p>The system includes a structured database of 83 classical poems, 20 imagery categories, 5 emotion labels, and 15 question-intent types. It supports multiple learning tasks such as voice-based Q&A, image-to-poem matching, mood-based poem recommendation, reading practice, plain-language interpretation, and creative poetry rewriting. Evaluation results show that the system achieved an 86.9% Top-1 accuracy in emotion-to-poem recommendation and an 80.5% Top-1 accuracy in object-to-imagery poem recommendation. In classroom implementation, student questionnaires indicated positive responses toward system usability, reading support, and learning motivation. This project is not merely a demonstration of AI tools; it transforms school-based poetry materials into an interactive, verifiable, and scalable learning model. By positioning AI as a learning partner rather than an answer generator, the system helps students enter, understand, express, and recreate poetry through meaningful human-AI collaboration.<\/p>\n<p>\u00a0<\/p>\n<\/div>\n<p>\u00a0<\/p>\n<div style=\"background-color: #ffffff; margin: 5px; border:1px #19130B solid; border-radius:10px; padding:10px; box-shadow: 4px 4px 10px 0px rgba(0, 0, 0, 0.2)\">\n<ul>\n<li style=\"padding:10px 5px; line-height:1.5em;\"><strong>\u8ad6\u6587\u5168\u6587\uff1a<\/strong><span style=\"font-weight:bold; line-height:1.5em; background-color:#e7f49c; padding:0px 2px; border:1px; border-radius:10px;\"><a href=\"https:\/\/aifed.now\/conference\/wp-content\/uploads\/wpxform-uploads\/1779729268eea183a416-16-AI\u8a69\u8a5e\u5b78\u7fd2\u6b65\u9053\uff1a\u591a\u6a21\u614b\u5b78\u7fd2\u7cfb\u7d71\u8a2d\u8a08.pdf\" target=\"_blank\">AI\u8a69\u8a5e\u5b78\u7fd2\u6b65\u9053\uff1a\u591a\u6a21\u614b\u5b78\u7fd2\u7cfb\u7d71\u8a2d\u8a08<\/a><\/span><\/li>\n<li style=\"padding:10px 5px; line-height:1.5em;\"><strong>\u5f71\u50cf\uff1a<\/strong><span style=\"font-weight:bold; line-height:1.5em; background-color:#e7f49c; padding:0px 2px; border:1px; border-radius:10px;\"> <a href=\"https:\/\/youtu.be\/djeON_r0zbM\" target=\"_blank\">\u76f8\u95dc\u5f71\u7247<\/a><\/span><\/li>\n<\/ul>\n<\/div>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI\u8a69\u8a5e\u5b78\u7fd2\u6b65\u9053\uff1a\u591a\u6a21\u614b\u5b78\u7fd2\u7cfb\u7d71\u8a2d\u8a08 \u8b1b\u8005\/Speaker\uff1a \u694a\u627f\u7a4e, YANG CHENG-YING \u672c\u7814\u7a76 &hellip; <\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1461","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1461","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1461"}],"version-history":[{"count":7,"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1461\/revisions"}],"predecessor-version":[{"id":1930,"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1461\/revisions\/1930"}],"wp:attachment":[{"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1461"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}