{"id":1453,"date":"2026-06-14T03:18:34","date_gmt":"2026-06-13T19:18:34","guid":{"rendered":"https:\/\/aifed.now\/conference\/?page_id=1453"},"modified":"2026-06-21T18:37:57","modified_gmt":"2026-06-21T10:37:57","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-%e6%b1%9f%e5%bd%a7%e7%92%87-%e7%94%9f%e6%b6%af%e6%8e%a2%e6%8e%a2-%e8%87%aa%e4%b8%bb%e5%ad%b8%e7%bf%92%e5%bc%95%e5%b0%8e","status":"publish","type":"page","link":"https:\/\/aifed.now\/conference\/?page_id=1453","title":{"rendered":"\u4e3b\u984c\u4e09\uff1a\u5b78\u751f\u5b78\u7fd2 \/ \u6c5f\u5f67\u7487 \/ \u751f\u6daf\u63a2\u63a2-\u81ea\u4e3b\u5b78\u7fd2\u5c08\u6848\u5f15\u5c0e\u7cfb\u7d71"},"content":{"rendered":"<\/p>\n<h3>\u751f\u6daf\u63a2\u63a2-\u81ea\u4e3b\u5b78\u7fd2\u5c08\u6848\u5f15\u5c0e\u7cfb\u7d71<\/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\/1779813409f925615571-18-\u6c5f\u5f67\u7487.jpg\" alt=\"\u6c5f\u5f67\u7487\" 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;\"> \u6c5f\u5f67\u7487, Jiang, Yu-Syuan <\/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\u8a2d\u8a08\u4ee5\u300c\u751f\u6daf\u63a2\u63a2\uff0d\u81ea\u4e3b\u5b78\u7fd2\u5c08\u6848\u5f15\u5c0e\u7cfb\u7d71\u300d\u70ba\u984c\uff0c\u91dd\u5c0d\u4e2d\u5b78\u968e\u6bb5\u5b78\u751f\u5728\u81ea\u4e3b\u5b78\u7fd2\u8207\u751f\u6daf\u63a2\u7d22\u4e2d\u5e38\u898b\u7684\u9078\u984c\u56f0\u96e3\u3001\u884c\u52d5\u8d77\u9ede\u4e0d\u8db3\u3001\u57f7\u884c\u9df9\u67b6\u7f3a\u4e4f\u8207\u500b\u5225\u5316\u5f15\u5c0e\u4e0d\u8db3\u7b49\u554f\u984c\uff0c\u904b\u7528\u751f\u6210\u5f0f AI \u5efa\u69cb\u4e00\u5957\u4ee5\u751f\u6daf\u8f14\u5c0e\u7406\u8ad6\u70ba\u57fa\u790e\uff0c\u4e26\u7d50\u5408\u5c08\u6848\u5b78\u7fd2\u6b77\u7a0b\u7684\u5b78\u7fd2\u5f15\u5c0e\u7cfb\u7d71\u3002\u7cfb\u7d71\u4ee5\u570b\u4e2d\u751f\u6daf\u767c\u5c55\u6559\u80b2\u70ba\u8d77\u9ede\uff0c\u4e26\u53ef\u5ef6\u4f38\u652f\u6301\u9ad8\u4e2d\u968e\u6bb5\u4e4b\u81ea\u4e3b\u5b78\u7fd2\u8207\u5b78\u7fd2\u6b77\u7a0b\u6a94\u6848\u6574\u7406\uff0c\u5354\u52a9\u5b78\u751f\u5f9e\u81ea\u6211\u89ba\u5bdf\u3001\u8077\u696d\u63a2\u7d22\u3001\u8cc7\u8a0a\u67e5\u6838\u3001\u5c08\u6848\u69cb\u601d\u3001\u8cc7\u6e90\u76e4\u9ede\u3001\u8a08\u756b\u62c6\u89e3\u5230\u6b77\u7a0b\u8a18\u9304\uff0c\u9010\u6b65\u5b8c\u6210\u5177\u500b\u4eba\u610f\u7fa9\u8207\u751f\u6daf\u767c\u5c55\u9023\u7d50\u7684\u81ea\u4e3b\u5b78\u7fd2\u5c08\u6848\u3002<br \/>\n\u672c\u8a2d\u8a08\u904b\u7528 TPACK \u67b6\u69cb\uff0c\u4e26\u5f9e\u7d0d\u5165 AI \u77e5\u8b58\u8207\u4eba\u6a5f\u4e92\u52d5\u8a2d\u8a08\u7684 AIPACK \u6559\u5b78\u61c9\u7528\u89c0\u9ede\u51fa\u767c\uff0c\u8b93 AI \u900f\u904e\u5206\u968e\u6bb5\u63d0\u554f\u3001\u4efb\u52d9\u751f\u6210\u8207\u56de\u994b\uff0c\u5f15\u5c0e\u5b78\u751f\u601d\u8003\u81ea\u5df1\u7684\u9078\u64c7\u3001\u67e5\u6838\u8cc7\u8a0a\u3001\u4fee\u6b63\u65b9\u5411\u4e26\u843d\u5be6\u884c\u52d5\u3002\u5176\u4e2d\uff0c\u300c\u771f\u7406\u4e4b\u79e4\u300d\u95dc\u5361\u7279\u5225\u5f37\u8abf AI \u6642\u4ee3\u7684\u5a92\u9ad4\u8b58\u8b80\u8207\u6279\u5224\u601d\u8003\uff0c\u907f\u514d\u5b78\u751f\u76f4\u63a5\u63a5\u53d7\u751f\u6210\u5167\u5bb9\uff0c\u4e26\u57f9\u990a\u67e5\u8b49\u3001\u6bd4\u8f03\u8207\u91cd\u65b0\u8a6e\u91cb\u7684\u80fd\u529b\u3002<br \/>\n\u8ab2\u7a0b\u5be6\u65bd\u8cc7\u6599\u986f\u793a\uff0c\u96a8\u8457\u8ab2\u7a0b\u7d50\u69cb\u5316\u7a0b\u5ea6\u8207 AI \u5c0e\u5165\u6df1\u5ea6\u589e\u52a0\uff0c\u5b78\u751f\u5c08\u6848\u6210\u679c\u63d0\u4ea4\u7387\u5448\u73fe\u63d0\u5347\u8da8\u52e2\uff0c\u7531\u7b2c 1 \u5c46\u7684 64% \u63d0\u5347\u81f3\u7b2c 4 \u5c46\u5b8c\u6574 AI \u7cfb\u7d71\u5c0e\u5165\u5f8c\u7684 94%\u3002\u5b78\u751f\u4f5c\u54c1\u4ea6\u7531\u65e9\u671f\u7684\u7247\u6bb5\u4efb\u52d9\uff0c\u9010\u6b65\u767c\u5c55\u70ba\u5177\u5b8c\u6574\u6b77\u7a0b\u3001\u6210\u679c\u4f5c\u54c1\u8207\u516c\u958b\u5c55\u793a\u7684\u5c08\u6848\u5b78\u7fd2\u6210\u679c\u3002\u6559\u5e2b\u4ea6\u80fd\u85c9\u7531 AI \u6240\u63d0\u4f9b\u7684\u500b\u5225\u5316\u9df9\u67b6\uff0c\u964d\u4f4e\u91cd\u8907\u6027\u57fa\u790e\u6307\u5c0e\u8ca0\u8377\uff0c\u9032\u800c\u66f4\u7cbe\u6e96\u5730\u638c\u63e1\u5b78\u751f\u5dee\u7570\u4e26\u63d0\u4f9b\u95dc\u9375\u5f15\u5c0e\u3002<br \/>\n\u95dc\u9375\u5b57\uff1a \u751f\u6210\u5f0f AI\u3001\u81ea\u4e3b\u5b78\u7fd2\u3001\u751f\u6daf\u63a2\u7d22\u3001TPACK\u3001AIPACK\u3001\u5b78\u7fd2\u6b77\u7a0b\u3001\u5c08\u6848\u5b78\u7fd2<\/p>\n<p>\u00a0<\/p>\n<hr\/>\n<p>This project, titled Career Explorer: An AI-Supported Guidance System for Self-Directed Learning Projects, addresses common challenges faced by secondary school students in self-directed learning and career exploration, including challenges in formulating project topics, lack of action-oriented starting points, insufficient implementation scaffolding, and limited individualized guidance. By using generative AI, this design constructs a learning guidance system grounded in career guidance theory and integrated with project-based learning processes. Initially implemented in junior high school career development education, the system can also be extended to support self-directed learning and learning portfolios in senior high school. It guides students through self-awareness, career exploration, information verification, project ideation, resource planning, task decomposition, and process documentation, supporting them in completing self-directed learning projects that are personally meaningful and relevant to students\u2019 career development.<br \/>\nGrounded in the TPACK framework, this design extends it through an AIPACK perspective by incorporating AI knowledge and human-AI interaction into instructional design. Through staged questioning, task generation, and feedback, AI guides students to reflect on their choices, verify information, revise directions, and take action. In particular, the \u201cTruth Scale\u201d stage requires students to verify, compare, and reinterpret AI-generated information. This stage emphasizes media literacy and critical thinking in the age of AI, helping students avoid directly accepting generated content.<br \/>\nImplementation data show that as the course became more structured and AI integration deepened, the student project submission rate showed an upward trend, increasing from 64% in the first cohort to 94% following the implementation of the full AI-supported system in the fourth cohort. Student project outcomes also evolved from fragmented tasks into project-based learning outcomes with complete processes, final products, and public presentations. In addition, the individualized scaffolding provided by AI reduced the burden of repetitive basic guidance, enabling teachers to better identify individual student needs and provide targeted guidance at key learning moments.<br \/>\nKeywords: generative AI, self-directed learning, career exploration, TPACK, AIPACK, learning portfolios, project-based learning<\/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\/1779813409f925615571-16-2026-\u53f0\u7063-AI-\u6559\u80b2\u5e74\u6703\u6559\u5b78\u61c9\u7528\u6295\u7a3f\u6587\u4ef6-\u516c\u958b\u7248.pdf\" target=\"_blank\">\u751f\u6daf\u63a2\u63a2-\u81ea\u4e3b\u5b78\u7fd2\u5f15\u5c0e\u7cfb\u7d71<\/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\/zUjUWOdCcgo\" 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>\u751f\u6daf\u63a2\u63a2-\u81ea\u4e3b\u5b78\u7fd2\u5c08\u6848\u5f15\u5c0e\u7cfb\u7d71 \u8b1b\u8005\/Speaker\uff1a \u6c5f\u5f67\u7487, Jiang, Yu-Syuan \u672c\u8a2d\u8a08\u4ee5\u300c\u751f &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-1453","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1453","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=1453"}],"version-history":[{"count":8,"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1453\/revisions"}],"predecessor-version":[{"id":2156,"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1453\/revisions\/2156"}],"wp:attachment":[{"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1453"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}