{"id":1447,"date":"2026-06-14T03:18:34","date_gmt":"2026-06-13T19:18:34","guid":{"rendered":"https:\/\/aifed.now\/conference\/?page_id=1447"},"modified":"2026-06-14T03:18:35","modified_gmt":"2026-06-13T19:18:35","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%e5%ad%90%e7%9a%93-%e4%ba%94%e6%ad%a5-ai-%e5%8d%94%e4%bd%9c%e9%96%8b%e7%99%bc%e6%b3%95%ef%bc%9a%e5%be%9e%e5%88%9d","status":"publish","type":"page","link":"https:\/\/aifed.now\/conference\/?page_id=1447","title":{"rendered":"\u4e3b\u984c\u4e09\uff1a\u5b78\u751f\u5b78\u7fd2 \/ \u9673\u5b50\u7693 \/ \u4e94\u6b65 AI \u5354\u4f5c\u958b\u767c\u6cd5\uff1a\u5f9e\u521d\u5b78\u8005\u5230 AI \u6307\u63ee\u5b98\u7684\u7a0b\u5f0f\u5be6\u4f5c\u6559\u5b78"},"content":{"rendered":"<\/p>\n<h3>\u4e94\u6b65 AI \u5354\u4f5c\u958b\u767c\u6cd5\uff1a\u5f9e\u521d\u5b78\u8005\u5230 AI \u6307\u63ee\u5b98\u7684\u7a0b\u5f0f\u5be6\u4f5c\u6559\u5b78<\/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\/1780044174c1cc778a69-18-\u5b78\u8853\u982d\u8cbc.jpg\" alt=\"\u9673\u5b50\u7693\" 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\u5b50\u7693, Tzu-Hao Chen <\/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>\u96a8\u8457\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u6167\u6280\u8853\u7684\u666e\u53ca\uff0c\u7a0b\u5f0f\u8a2d\u8a08\u6559\u80b2\u6b63\u9762\u81e8\u5178\u7bc4\u8f49\u79fb\u7684\u5951\u6a5f\u3002\u7136\u800c\uff0c\u73fe\u884c AI \u8f14\u52a9\u5b78\u7fd2\u65b9\u6848\u591a\u5c07\u4eba\u5de5\u667a\u6167\u5b9a\u4f4d\u70ba\u55ae\u7d14\u7684\u7a0b\u5f0f\u78bc\u88dc\u5168\u5de5\u5177\uff0c\u7f3a\u4e4f\u91dd\u5c0d\u521d\u5b78\u8005\u8a2d\u8a08\u7684\u7cfb\u7d71\u6027\u5354\u4f5c\u6d41\u7a0b\uff0c\u81f4\u4f7f\u975e\u8cc7\u8a0a\u80cc\u666f\u5b78\u7fd2\u8005\u5728\u8a8d\u77e5\u8ca0\u8377\u3001\u5c08\u6848\u5206\u89e3\u80fd\u529b\u53ca\u6280\u8853\u6c7a\u7b56\u4e3b\u52d5\u6027\u7b49\u9762\u5411\u4ecd\u9762\u81e8\u986f\u8457\u6311\u6230\u3002<br \/>\n\u6709\u9451\u65bc\u6b64\uff0c\u672c\u7814\u7a76\u63d0\u51fa\u300c\u4e94\u6b65 AI \u5354\u4f5c\u958b\u767c\u6cd5\u300d\uff0c\u6574\u5408\u63d0\u793a\u5de5\u7a0b\uff08Prompt Engineering\uff09\u8207\u8edf\u9ad4\u958b\u767c\u751f\u547d\u9031\u671f\uff08SDLC\uff09\u4e4b\u6838\u5fc3\u6982\u5ff5\uff0c\u5efa\u69cb\u4e00\u5957\u4ee5\u5b78\u7fd2\u8005\u70ba\u4e3b\u9ad4\u7684\u7d50\u69cb\u5316\u4eba\u6a5f\u5354\u4f5c\u6846\u67b6\u3002\u8a72\u6846\u67b6\u900f\u904e\u300c\u6c7a\u7b56\u524d\u7f6e\u7684\u6280\u8853\u9078\u578b\u8a55\u4f30\u6a5f\u5236\u300d\u3001\u300c\u4ee5\u5df2\u77e5\u8a9e\u6cd5\u7d04\u675f AI \u8f38\u51fa\u7bc4\u570d\u4e4b\u9650\u5236\u6027\u63d0\u793a\u7b56\u7565\u300d\uff0c\u4ee5\u53ca\u300c\u6a21\u7d44\u5316\u539f\u5b50\u958b\u767c\u6d41\u7a0b\u300d\u4e09\u9805\u6838\u5fc3\u8a2d\u8a08\uff0c\u7cfb\u7d71\u6027\u5730\u5c07 AI \u89d2\u8272\u5f9e\u88ab\u52d5\u7684\u7a0b\u5f0f\u78bc\u7522\u51fa\u5de5\u5177\uff0c\u91cd\u5851\u70ba\u4e3b\u52d5\u7684\u5c08\u6848\u8aee\u8a62\u8207\u67b6\u69cb\u5f15\u5c0e\u8005\uff0c\u9032\u800c\u57f9\u990a\u5b78\u7fd2\u8005\u5177\u5099\u6307\u63ee AI \u9032\u884c\u7cfb\u7d71\u5316\u958b\u767c\u4e4b\u5f8c\u8a2d\u8a8d\u77e5\u80fd\u529b\u3002<br \/>\n\u672c\u7814\u7a76\u4ee5\u6750\u6599\u79d1\u5b78\u8207\u5de5\u7a0b\u3001\u74b0\u5883\u79d1\u5b78\u8207\u5de5\u7a0b\u7b49\u975e\u8cc7\u8a0a\u5c08\u696d\u5b78\u751f\u70ba\u5be6\u65bd\u5c0d\u8c61\uff0c\u8a55\u4f30\u7d50\u679c\u986f\u793a\uff0c\u903e 95% \u7684\u7d44\u5225\u6210\u529f\u958b\u767c\u51fa\u5177\u5099\u5716\u5f62\u4f7f\u7528\u8005\u4ecb\u9762\uff08GUI\uff09\u4e4b\u4e92\u52d5\u5f0f\u61c9\u7528\u7a0b\u5f0f\uff0c\u8d85\u904e 90% \u7684\u7d44\u5225\u5b8c\u6574\u9054\u6210\u6240\u6709\u6838\u5fc3\u958b\u767c\u6b65\u9a5f\uff0c\u4e14\u591a\u6578\u7d44\u5225\u65bc\u529f\u80fd\u5b8c\u6574\u6027\u8207\u4ecb\u9762\u54c1\u8cea\u4e4b\u8a55\u5206\u5747\u9054 90 \u5206\u4ee5\u4e0a\u3002\u4e0a\u8ff0\u7d50\u679c\u8868\u660e\uff0c\u672c\u6559\u5b78\u6cd5\u80fd\u6709\u6548\u964d\u4f4e\u975e\u5c08\u696d\u80cc\u666f\u5b78\u7fd2\u8005\u7684\u7a0b\u5f0f\u958b\u767c\u9580\u6abb\uff0c\u4e26\u5177\u5099\u8de8\u5b78\u79d1\u63a8\u5ee3\u4e4b\u6f5b\u529b\u3002<\/p>\n<p>\u00a0<\/p>\n<hr\/>\n<p>As generative artificial intelligence (AIGC) technology becomes increasingly prevalent, programming education is presented with a significant opportunity for paradigm shift. However, existing AI-assisted learning solutions predominantly position artificial intelligence as a mere code completion tool, lacking systematic collaborative frameworks designed specifically for novice learners. Consequently, students without a computer science background continue to face considerable challenges in terms of cognitive load, project decomposition capabilities, and agency over technical decision-making.<br \/>\nIn response to these limitations, this study proposes the \"Five-Step AI Collaborative Development Method,\" which integrates core concepts from Prompt Engineering and the Software Development Life Cycle (SDLC) to construct a structured human-AI collaboration framework centered on the learner. The framework comprises three core design elements: a decision-first technology selection and evaluation mechanism, a constrained prompting strategy that leverages learners' existing syntactic knowledge to define the boundaries of AI-generated output, and a modular atomic development process. Through these elements, the framework systematically repositions the role of AI from a passive code generation tool to an active project consultant and architectural guide, thereby cultivating learners' metacognitive capacity to direct AI in conducting systematic software development.<br \/>\nThis study was implemented with students majoring in Materials Science and Engineering, and Environmental Science and Engineering. Evaluation results indicate that over 95% of groups successfully developed interactive applications with a graphical user interface (GUI), more than 90% of groups fully completed all core development steps, and the majority of groups achieved scores above 90 in both functional completeness and interface quality. These findings suggest that the proposed instructional method effectively lowers the barriers to programming development for learners without a computer science background, and demonstrates potential for interdisciplinary adoption.<\/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\/1780044174c1cc778a69-16-2026-\u53f0\u7063-AI-\u6559\u80b2\u5e74\u6703\u6559\u5b78\u61c9\u7528\u6295\u7a3f\u6587\u4ef6.pdf\" target=\"_blank\">\u4e94\u6b65 AI \u5354\u4f5c\u958b\u767c\u6cd5\uff1a\u5f9e\u521d\u5b78\u8005\u5230 AI \u6307\u63ee\u5b98\u7684\u7a0b\u5f0f\u5be6\u4f5c\u6559\u5b78<\/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:\/\/drive.google.com\/file\/d\/14nQ0WXHiscJx15mio2Inc1piTeCyZOoQ\/view?usp=drive_link\" 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>\u4e94\u6b65 AI \u5354\u4f5c\u958b\u767c\u6cd5\uff1a\u5f9e\u521d\u5b78\u8005\u5230 AI \u6307\u63ee\u5b98\u7684\u7a0b\u5f0f\u5be6\u4f5c\u6559\u5b78 \u8b1b\u8005\/Speaker\uff1a \u9673\u5b50\u7693, Tzu-Ha &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-1447","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1447","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=1447"}],"version-history":[{"count":7,"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1447\/revisions"}],"predecessor-version":[{"id":1937,"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1447\/revisions\/1937"}],"wp:attachment":[{"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1447"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}