{"id":1423,"date":"2026-06-14T03:18:34","date_gmt":"2026-06-13T19:18:34","guid":{"rendered":"https:\/\/aifed.now\/conference\/?page_id=1423"},"modified":"2026-07-04T09:51:09","modified_gmt":"2026-07-04T01:51:09","slug":"%e4%b8%bb%e9%a1%8c%e4%b8%89%ef%bc%9a%e5%ad%b8%e7%94%9f%e5%ad%b8%e7%bf%92-%e9%99%b3%e6%b3%93%e6%9b%84-%e9%ab%98%e6%8a%ac%e4%b8%bb-aigc%e6%95%b8%e4%bd%8d%e5%ad%b8%e7%bf%92%e6%96%b0%e6%80%9d","status":"publish","type":"page","link":"https:\/\/aifed.now\/conference\/?page_id=1423","title":{"rendered":"\u4e3b\u984c\u4e09\uff1a\u5b78\u751f\u5b78\u7fd2 \/ \u9673\u6cd3\u66c4, \u9ad8\u62ac\u4e3b \/ AIGC \u6578\u4f4d\u5b78\u7fd2\u65b0\u601d\u7dad:\u4ee5 Padlet \u8207 AI \u9df9\u67b6\u5efa\u69cb\u5b78\u751f\u7684\u5b78\u7fd2\u81ea\u4e3b\u5b78\u7fd2\u6b77\u7a0b"},"content":{"rendered":"<\/p>\n<h3>AIGC \u6578\u4f4d\u5b78\u7fd2\u65b0\u601d\u7dad:\u4ee5 Padlet \u8207 AI \u9df9\u67b6\u5efa\u69cb\u5b78\u751f\u7684\u5b78\u7fd2\u81ea\u4e3b\u5b78\u7fd2\u6b77\u7a0b<\/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\/177944594421f96f1eaa-18-%E9%99%B3%E6%B3%93%E6%9B%84.jpg\" alt=\"\u9673\u6cd3\u66c4, \u9ad8\u62ac\u4e3b\" 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;\"> \u9673\u6cd3\u66c4, \u9ad8\u62ac\u4e3b, Chen, HungYeh ; Kao, TaiChu <\/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\u8ab2\u7a0b\u4ee5\u300cAIGC \u6578\u4f4d\u5b78\u7fd2\u65b0\u601d\u7dad\u300d\u70ba\u6838\u5fc3\uff0c\u958b\u5275\u4e00\u5957\u300c\u6559\u5e2b\u5f15\u5c0e\u7c21\u5831 \u2794 AI \u96d9\u5f15\u64ce\u9a45\u52d5\uff08NotebookLM + Gemini\uff09 \u2794 Padlet \u6b77\u7a0b\u7ba1\u7406\u300d\u7684\u5275\u65b0\u81ea\u4e3b\u5b78\u7fd2\u6578\u4f4d\u9df9\u67b6\u3002\u8ab2\u7a0b\u8a2d\u8a08\u63a1\u53d6\u300c\u793a\u7bc4\uff0d\u6a21\u4eff\uff0d\u5be6\u4f5c\u300d\u70ba\u4e3b\u8ef8\uff0c\u5c07\u6559\u5e2b\u7684\u6559\u5b78\u7b56\u7565\u5c01\u88dd\u65bc\u975e\u540c\u6b65\u81ea\u5b78\u7c21\u5831\u4e2d\uff0c\u5f15\u5c0e\u5b78\u751f\u5728 Padlet \u5e73\u53f0\u4e0a\u5efa\u7acb\u7d50\u69cb\u5316\u7684\u81ea\u5b78\u57fa\u5730\uff0c\u672c\u8cea\u4e0a\u964d\u4f4e\u4e86\u65b0\u9ad8\u4e00\u751f\u9762\u5c0d\u81ea\u4e3b\u5b78\u7fd2\u6642\u7684\u300c\u7a7a\u767d\u9801\u6548\u61c9\u300d\u8207\u8ff7\u60d8\u611f\u3002<\/p>\n<p>\u8ab2\u7a0b\u5275\u65b0\u5730\u4ee5\u300a\u539f\u5b50\u7fd2\u6163\u300b\u884c\u70ba\u79d1\u5b78\u4f5c\u70ba\u81ea\u5b78\u5c0e\u8b80\u6838\u5fc3\u3002\u5b78\u751f\u4e0d\u8ad6\u4f7f\u7528\u7dda\u4e0a\u96fb\u5b50\u6559\u6750\u6216\u5c07\u5be6\u9ad4\u66f8\u6383\u63cf\u4e0a\u50b3\uff0c\u7686\u5148\u900f\u904e NotebookLM \u5efa\u7acb\u5c01\u9589\u5f0f\u77e5\u8b58\u5eab\uff0c\u5728\u300c\u96f6 AI \u5e7b\u89ba\u300d\u7684\u5b89\u5168\u74b0\u5883\u4e0b\u7cbe\u8b80\u6587\u672c\u3001\u6293\u53d6\u6838\u5fc3\u6458\u8981\uff1b\u96a8\u5f8c\u5207\u63db\u81f3 Google Gemini \u4f5c\u70ba\u884c\u70ba\u6559\u7df4\uff0c\u5c07\u5b8f\u5927\u7684\u76ee\u6a19\u52d5\u614b\u62c6\u89e3\u70ba\u6bcf\u65e5 10 \u5206\u9418\u6216\u534a\u5c0f\u6642\u7684\u5fae\u884c\u52d5\u3002<\/p>\n<p>\u672c\u65b9\u6848\u4e0d\u50c5\u5f15\u5c0e\u5b78\u751f\u5168\u54e1\u7522\u51fa\u9a5a\u4eba\u7684\u8de8\u57df\u6578\u4f4d\u6210\u679c\uff08\u5982 LINE \u8cbc\u5716\u4e0a\u67b6\u3001\u5b78\u79d1\u4e92\u52d5\u904a\u6232\u7db2\u9801\u3001\u9ad8\u7b49\u6578\u5b78\u77e9\u9663\u8207\u5927\u6578\u64da\u5ef6\u4f38\u63a2\u7a76\uff09\uff0c\u66f4\u5be6\u8b49\u4e86\u300c\u5b78\u7fd2\u9077\u79fb\u300d\u7684\u767c\u751f\uff0c\u4e26\u4e14\u5b78\u751f\u6210\u529f\u5c07\u9019\u5957 AIGC \u908f\u8f2f\u8207\u554f\u984c\u62c6\u89e3\u80fd\u529b\uff0c\u9077\u79fb\u81f3\u65e5\u5e38\u8271\u6f80\u5b78\u79d1\u7684\u7cfb\u7d71\u5316\u8907\u7fd2\u8207\u81ea\u6211\u7ba1\u7406\u4e2d\u3002<\/p>\n<p>\u6700\u91cd\u8981\u7684\u662f\uff0c\u672c\u6559\u5b78\u6a21\u5f0f\u5177\u5099\u6975\u9ad8\u7684\u63a8\u5ee3\u50f9\u503c\u8207\u53ef\u8907\u88fd\u6027\uff0c\u80fd\u76f4\u63a5\u4f5c\u70ba\u5168\u53f0\u7063\u300c\u81ea\u4e3b\u5b78\u7fd2\u6307\u5c0e\u6559\u5e2b\u300d\u6216\u5c0e\u5e2b\u7684\u6578\u4f4d\u6e1b\u8ca0\u5927\u79ae\u5305\u3002\u900f\u904e AI \u8f14\u52a9\u8207\u7cbe\u5bc6\u6d41\u7a0b\u8a2d\u8a08\uff0c\u89e3\u653e\u73fe\u5834\u6559\u5e2b\u6709\u9650\u7684\u8f14\u5c0e\u4eba\u529b\uff0c\u771f\u6b63\u843d\u5be6\u300c\u5e2b\u751f\u4eba\u6a5f\u5171\u597d\u300d\u8207\u7d20\u990a\u6559\u80b2\u7684\u7d42\u6975\u76ee\u6a19\u3002<\/p>\n<p>\u00a0<\/p>\n<hr\/>\n<p>Centering on the core vision of \"New Thinking in AIGC Digital Learning,\" this curriculum introduces an innovative digital scaffolding ecosystem for high school autonomous learning, driven by a \"Teacher-Guided Instructional Deck \u2794 Dual-AI Engine (NotebookLM + Gemini) \u2794 Padlet Progress Management\" framework. By structuring the instructional design around the workflow of \"Demonstration \u2013 Imitation \u2013 Practice,\" the course encapsulates pedagogical strategies within an asynchronous self-study deck. This approach guides students to establish structured autonomous learning hubs on Padlet, fundamentally mitigating the \"blank-page effect\" and the sense of uncertainty commonly experienced by tenth-grade freshmen.The curriculum uniquely adopts the behavioral science principles of Atomic Habits as its core reading guide. Whether utilizing curated online digital textbooks or uploading scanned copies of physical books, students first import their materials into NotebookLM to construct a closed knowledge base, enabling intensive text reading and summary extraction within a \"zero-AI-hallucination\" secure environment. Subsequently, students transition to Google Gemini, which serves as a personal behavioral coach, to dynamically break down macro-level goals into executable 10-minute daily micro-actions.This program not only guides all participating students to generate impressive cross-disciplinary digital artifacts (such as publishing personal LINE stickers, developing interactive academic review web games, and conducting advanced extensions into high school matrices and big data analytics) but also empirically demonstrates the occurrence of \"learning transfer.\" Students successfully transfer the acquired AIGC logic and problem-deconstruction capabilities into systematic subject reviews and daily self-management.  Most importantly, this instructional model possesses high generalizability and can be seamlessly replicated by autonomous learning supervisors and homeroom teachers across Taiwan as a digital workload-reduction toolkit. By leveraging AI assistance alongside precise workflow design, this curriculum alleviates the constraints of limited teacher counseling capacity, truly achieving the ultimate goal of \"Teacher-Student Human-AI Synergy\" and competency-based education.<\/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\/2026\/06\/2026-\u53f0\u7063-AI-\u6559\u80b2\u5e74\u6703\u6559\u5b78\u61c9\u7528\u6295\u7a3f\u6587\u4ef6_\u9673\u6cd3\u66c4.pdf\" target=\"_blank\">AIGC \u6578\u4f4d\u5b78\u7fd2\u65b0\u601d\u7dad:\u4ee5 Padlet \u8207 AI \u9df9\u67b6\u5efa\u69cb\u5b78\u751f\u7684\u5b78\u7fd2\u81ea\u4e3b\u5b78\u7fd2\u6b77\u7a0b<\/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\/V5hzmQ02lk8?si=F426xQKq19Fc56pM\" 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>AIGC \u6578\u4f4d\u5b78\u7fd2\u65b0\u601d\u7dad:\u4ee5 Padlet \u8207 AI \u9df9\u67b6\u5efa\u69cb\u5b78\u751f\u7684\u5b78\u7fd2\u81ea\u4e3b\u5b78\u7fd2\u6b77\u7a0b \u8b1b\u8005\/Speaker\uff1a  &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-1423","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1423","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=1423"}],"version-history":[{"count":11,"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1423\/revisions"}],"predecessor-version":[{"id":2323,"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1423\/revisions\/2323"}],"wp:attachment":[{"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1423"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}