{"id":1455,"date":"2026-06-14T03:18:33","date_gmt":"2026-06-13T19:18:33","guid":{"rendered":"https:\/\/aifed.now\/conference\/?page_id=1455"},"modified":"2026-06-26T15:21:12","modified_gmt":"2026-06-26T07:21:12","slug":"%e4%b8%bb%e9%a1%8c%e4%b8%80%ef%bc%9a%e6%95%99%e5%b8%ab%e8%b3%a6%e8%83%bd-%e6%9d%8e%e6%98%8e%e8%8a%ac-ai-%e8%ae%93%e8%b3%87%e6%b7%b1%e5%b0%88%e5%ae%b6%e5%af%a6%e7%8f%be%e3%80%8c%e6%95%b8%e4%bd%8d","status":"publish","type":"page","link":"https:\/\/aifed.now\/conference\/?page_id=1455","title":{"rendered":"\u4e3b\u984c\u4e00\uff1a\u6559\u5e2b\u8ce6\u80fd \/ \u674e\u660e\u82ac \/ AI \u8b93\u8cc7\u6df1\u5c08\u5bb6\u5be6\u73fe\u300c\u6578\u4f4d\u53cd\u8d85\u300d\uff1a\u8de8\u4e16\u4ee3\u81e8\u5e8a\u6559\u5e2b\u7684\u8996\u89ba\u5316\u5099\u8ab2\u8ce6\u80fd\u5be6\u8e10"},"content":{"rendered":"<\/p>\n<h3>AI \u8b93\u8cc7\u6df1\u5c08\u5bb6\u5be6\u73fe\u300c\u6578\u4f4d\u53cd\u8d85\u300d\uff1a\u8de8\u4e16\u4ee3\u81e8\u5e8a\u6559\u5e2b\u7684\u8996\u89ba\u5316\u5099\u8ab2\u8ce6\u80fd\u5be6\u8e10<\/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\/17797968737ea33e9443-18-\u674e\u660e\u82ac_Lee-Ming-Fen.jpg\" alt=\"\u674e\u660e\u82ac\" 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;\"> \u674e\u660e\u82ac, Ming-Fen Lee <\/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>\u80cc\u666f\u8207\u76ee\u7684\uff1a \u5728\u91ab\u7642\u81e8\u5e8a\u6559\u5b78\u4e2d\uff0c\u8cc7\u6df1\u5c08\u5bb6\u64c1\u6709\u73cd\u8cb4\u7684\u300c\u96b1\u6027\u81e8\u5e8a\u667a\u6167\u300d\uff0c\u537b\u5e38\u56e0\u7f3a\u4e4f\u6392\u7248\u80fd\u529b\u800c\u9762\u81e8\u300c\u8a2d\u8a08\u80fd\u529b\u9ad8\u7246\u300d\u3002\u50b3\u7d71\u89c0\u9ede\u5f80\u5f80\u5c07\u5e74\u8f15\u4e16\u4ee3\u8996\u70ba\u6578\u4f4d\u539f\u4f4f\u6c11\uff0c\u8cc7\u6df1\u6559\u5e2b\u5247\u70ba\u6578\u4f4d\u79fb\u6c11\u3002\u672c\u6559\u5b78\u61c9\u7528\u6559\u6848\u65e8\u5728\u6253\u7834\u6b64\u300c\u6578\u4f4d\u843d\u5dee\u300d\u8ff7\u601d\uff0c\u63a2\u8a0e\u4ee5\u300c\u908f\u8f2f\u99d5\u99ad AI\u300d\u7684\u5de5\u4f5c\u6d41\uff0c\u8ce6\u80fd\u8cc7\u6df1\u81e8\u5e8a\u6559\u5e2b\uff0c\u5be6\u73fe\u8de8\u4e16\u4ee3\u7684\u300c\u6578\u4f4d\u53cd\u8d85\u300d\u3002 <\/p>\n<p>\u65b9\u6cd5\uff1a \u672c\u6559\u5b78\u61c9\u7528\u6559\u6848\u63d0\u51fa\u5efa\u69cb\u65bc\u591a\u5a92\u9ad4\u5b78\u7fd2\u8a8d\u77e5\u7406\u8ad6 (CTML) \u4e4b AI \u8996\u89ba\u5316\u5099\u8ab2\u6a21\u7d44\u3002\u5305\u542b\u4e09\u5927\u968e\u6bb5\uff1a(1) \u908f\u8f2f\u68b3\u7406\uff1a\u904b\u7528 ChatGPT \u6216 Gemini \u5c07\u767c\u6563\u7684\u81e8\u5e8a\u6587\u5b57\u8f49\u5316\u70ba\u7d50\u69cb\u5316\u8108\u7d61\uff1b(2) \u8996\u89ba\u8a2d\u8a08\uff1a\u900f\u904e Napkin.ai \u5c07\u6587\u672c\u4e00\u9375\u8f49\u8b6f\u70ba\u5c08\u696d\u6d41\u7a0b\u5716\uff1b(3) \u6578\u4f4d\u52a9\u6559\uff1a\u5229\u7528 HeyGen \u751f\u6210\u500b\u4eba\u5316\u6559\u5b78\u5f71\u7247\u3002\u672c\u6559\u5b78\u61c9\u7528\u6559\u6848\u91dd\u5c0d 174 \u4f4d\u8de8\u8077\u985e\u91ab\u7642\u4eba\u54e1\u9032\u884c\u5be6\u8b49\u6578\u64da\u8a55\u4f30\u3002 <\/p>\n<p>\u7d50\u679c\uff1a \u91cf\u5316\u6578\u64da\u986f\u793a\uff0c\u8cc7\u6df1\u6559\u5e2b\u7684\u300cAI \u81ea\u6211\u6548\u80fd\u611f\u300d\u98c6\u5347\uff0c\u6210\u9577\u5e45\u5ea6\u9054 64.19%\uff0c\u8d85\u8d8a\u5e74\u8f15\u4e16\u4ee3\u7684 49.6%\u3002\u5728\u300c\u6d41\u7a0b\u5716\u8a2d\u8a08\u80fd\u529b\u300d\u4e0a\uff0c\u8cc7\u6df1\u5c08\u5bb6\uff087.17\u5206\uff09\u4e0d\u50c5\u8de8\u8d8a\u6280\u8853\u9d3b\u6e9d\uff0c\u66f4\u300c\u53cd\u8d85\u300d\u5e74\u8f15\u4e16\u4ee3\uff086.80\u5206\uff09\u3002\u6b64\u5916\uff0c\u5099\u8ab2\u6642\u9593\u7e2e\u6e1b\u903e 50%\uff1b\u8cc7\u6df1\u6559\u5e2b\u6574\u9ad4\u6eff\u610f\u5ea6\u9ad8\u9054 9.64 \u5206\uff0c\u5b78\u751f\u5c0d\u6559\u6750\u7684\u300c\u81e8\u5e8a\u5be6\u6230\u50f9\u503c\u300d\u4ea6\u7d66\u4e88 9.78 \u5206\u6975\u9ad8\u8a55\u50f9\u3002 <\/p>\n<p>\u7d50\u8ad6\uff1a \u6559\u6848\u8b49\u5be6 AI \u662f\u91ab\u5b78\u6559\u80b2\u4e2d\u7684\u300c\u6578\u4f4d\u5e73\u6b0a\u5668\u300d\u3002\u7576\u6280\u8853\u9580\u6abb\u88ab\u79fb\u9664\uff0c\u6559\u5b78\u54c1\u8cea\u7684\u7af6\u722d\u56de\u6b78\u300c\u5167\u5bb9\u6df1\u5ea6\u300d\u3002\u8cc7\u6df1\u5c08\u5bb6\u6191\u85c9\u6df1\u539a\u9818\u57df\u77e5\u8b58\uff0c\u900f\u904e AI \u7522\u51fa\u66f4\u7cbe\u6e96\u7684\u6559\u6750\uff0c\u6d88\u5f2d\u4e86\u4e16\u4ee3\u6280\u8853\u58c1\u58d8\uff0c\u5b8c\u7f8e\u5be6\u73fe\u91ab\u5b78\u6559\u80b2\u8996\u89ba\u8a2d\u8a08\u7684\u6c11\u4e3b\u5316\u8207\u6578\u4f4d\u53cd\u8d85\u3002<\/p>\n<p>\u00a0<\/p>\n<hr\/>\n<p>Background & Objective: Senior clinical experts possess invaluable \"tacit clinical wisdom\" but often face a \"design-ability barrier\" due to limited software skills. Traditional views stereotype younger generations as \"digital natives\" and seniors as \"digital immigrants\". This teaching application plan aims to dismantle this \"digital divide\" myth. By introducing a \"logic-driven AI\" workflow, it empowers senior teachers to achieve cross-generational \"digital overtaking\". <\/p>\n<p>Methods: This teaching application plan proposes an AI-integrated visual lesson preparation module based on the Cognitive Theory of Multimedia Learning (CTML). The workflow includes: (1) Logic Structuring: Using ChatGPT or Gemini to transform clinical text into structured contexts; (2) Visual Design: Employing Napkin.ai to translate text into professional flowcharts; (3) Digital Assistant: Using HeyGen for personalized teaching videos. This teaching application plan evaluated 174 interprofessional healthcare providers pre- and post-course. <\/p>\n<p>Results: Senior teachers' \"AI self-efficacy\" surged by 64.19%, outpacing the younger generation's 49.6% growth. In \"flowchart design skills,\" senior experts (7.17) successfully \"overtook\" digital natives (6.80). Preparation time was cut by over 50%. Senior teachers reported an overall satisfaction of 9.64, while students rated the materials' \"workplace impact\" at 9.78\/10. <\/p>\n<p>Conclusion: This teaching application plan confirms AI as a \"digital equalizer\". By removing software hurdles, teaching quality returns to \"content depth\". Armed with domain knowledge, senior experts leverage AI to produce precise materials, eliminating generational technology barriers and realizing the democratization of visual design in medical 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\/wpxform-uploads\/17797968737ea33e9443-16-2026-\u53f0\u7063-AI-\u6559\u80b2\u5e74\u6703\u6559\u5b78\u61c9\u7528\u6295\u7a3f\u6587\u4ef6_lmf_20260525\u4e0a\u50b3\u5b9a\u7a3f.pdf\" target=\"_blank\">AI \u8b93\u8cc7\u6df1\u5c08\u5bb6\u5be6\u73fe\u300c\u6578\u4f4d\u53cd\u8d85\u300d\uff1a\u8de8\u4e16\u4ee3\u81e8\u5e8a\u6559\u5e2b\u7684\u8996\u89ba\u5316\u5099\u8ab2\u8ce6\u80fd\u5be6\u8e10<\/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\/hly_ebmL47o\" 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 \u8b93\u8cc7\u6df1\u5c08\u5bb6\u5be6\u73fe\u300c\u6578\u4f4d\u53cd\u8d85\u300d\uff1a\u8de8\u4e16\u4ee3\u81e8\u5e8a\u6559\u5e2b\u7684\u8996\u89ba\u5316\u5099\u8ab2\u8ce6\u80fd\u5be6\u8e10 \u8b1b\u8005\/Speaker\uff1a \u674e\u660e\u82ac, Min &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-1455","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1455","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=1455"}],"version-history":[{"count":10,"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1455\/revisions"}],"predecessor-version":[{"id":2247,"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1455\/revisions\/2247"}],"wp:attachment":[{"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1455"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}