{"id":1491,"date":"2026-06-14T03:18:35","date_gmt":"2026-06-13T19:18:35","guid":{"rendered":"https:\/\/aifed.now\/conference\/?page_id=1491"},"modified":"2026-06-14T03:18:35","modified_gmt":"2026-06-13T19:18:35","slug":"%e4%b8%bb%e9%a1%8c%e5%9b%9b%ef%bc%9a%e8%a9%95%e9%87%8f%e5%9b%9e%e9%a5%8b-%e8%b3%b4%e6%80%a1%e5%a6%82-%e5%bc%b5%e6%99%8f%e9%81%8b-%e5%be%9e%e7%ae%97%e4%b8%8d%e5%ae%8c%e5%88%b0%e5%89%9b%e5%89%9b","status":"publish","type":"page","link":"https:\/\/aifed.now\/conference\/?page_id=1491","title":{"rendered":"\u4e3b\u984c\u56db\uff1a\u8a55\u91cf\u56de\u994b \/ \u8cf4\u6021\u5982\/\u5f35\u664f\u904b \/ \u5f9e\u7b97\u4e0d\u5b8c\u5230\u525b\u525b\u597d-\u7528AI\u767c\u5c55\u5dee\u7570\u5316\u6578\u5b78\u57fa\u790e\u7df4\u7fd2\u984c\u751f\u6210\u7cfb\u7d71"},"content":{"rendered":"<\/p>\n

\u5f9e\u7b97\u4e0d\u5b8c\u5230\u525b\u525b\u597d-\u7528AI\u767c\u5c55\u5dee\u7570\u5316\u6578\u5b78\u57fa\u790e\u7df4\u7fd2\u984c\u751f\u6210\u7cfb\u7d71<\/h3>\n<\/p>\n
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\"\u8cf4\u6021\u5982\/\u5f35\u664f\u904b\"<\/p>\n

\u8b1b\u8005\/Speaker\uff1a<\/strong> \u8cf4\u6021\u5982\/\u5f35\u664f\u904b, LAI I JU\/CHANG YEN YUN <\/span> <\/p>\n<\/div>\n

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\u5f9e\u300c\u7b97\u4e0d\u5b8c\u300d\u5230\u300c\u525b\u525b\u597d\u300d\uff1a\u904b\u7528 AI \u767c\u5c55\u5dee\u7570\u5316\u6578\u5b78\u57fa\u790e\u7df4\u7fd2\u984c\u751f\u6210\u7cfb\u7d71
\n\u9762\u5c0d\u8cc7\u6e90\u73ed\u5b78\u751f\u80fd\u529b\u843d\u5dee\u986f\u8457\u7684\u6559\u5b78\u56f0\u5883\uff0c\u50b3\u7d71\u624b\u5beb\u6216\u7d71\u4e00\u683c\u5f0f\u7684\u984c\u5eab\u5e38\u5c0e\u81f4\u6559\u5e2b\u5099\u8ab2\u8ca0\u8377\u904e\u91cd\uff0c\u4e14\u6613\u4f7f\u5b78\u751f\u7522\u751f\u7fd2\u5f97\u6027\u7121\u52a9\u8207\u57fa\u790e\u5b78\u7fd2\u65b7\u5c64\u3002\u70ba\u89e3\u6c7a\u6b64\u75db\u9ede\uff0c\u672c\u5c08\u6848\u904b\u7528 Gemini 3.1 Pro \u4eba\u5de5\u667a\u6167\u6a21\u578b\uff0c\u958b\u767c\u4e00\u5957\u5dee\u7570\u5316\u6578\u5b78\u57fa\u790e\u7df4\u7fd2\u984c\u751f\u6210\u7cfb\u7d71\u3002\u8a72\u7cfb\u7d71\u5be6\u73fe\u300c\u81ea\u7136\u8a9e\u8a00\u5373\u7a0b\u5f0f\u78bc\u300d\u4e4b\u5275\u65b0\u61c9\u7528\uff0c\u63d0\u4f9b\u7d19\u672c\u5217\u5370\u8207\u7dda\u4e0a\u4e92\u52d5\u96d9\u8ecc\u8f38\u51fa\u6a21\u5f0f\u3002\u900f\u904e\u672c\u7cfb\u7d71\uff0c\u6559\u5e2b\u53ef\u4f9d\u64da\u5b78\u751f\u500b\u5225\u9700\u6c42\uff0c\u7cbe\u6e96\u8a2d\u5b9a\u904b\u7b97\u4f4d\u6578\u3001\u9032\u9000\u4f4d\u7b49\u5fae\u89c0\u9032\u5ea6\u53c3\u6578\uff0c\u5354\u52a9\u5b78\u751f\u7a69\u5065\u929c\u63a5\u5404\u5b78\u7fd2\u968e\u6bb5\u3002\u7dda\u4e0a\u7df4\u7fd2\u6a21\u5f0f\u66f4\u6574\u5408\u8996\u89ba\u5316\u63d0\u793a\u3001\u5373\u6642\u6279\u6539\u6a5f\u5236\uff0c\u4ee5\u53ca\u878d\u5165\u6b63\u5411\u5fc3\u7406\u5b78\u7684\u96a8\u6a5f\u6fc0\u52f5\u5c0f\u8a9e\uff0c\u85c9\u6b64\u6709\u6548\u964d\u4f4e\u5b78\u751f\u7684\u6578\u5b78\u7126\u616e\u3002\u5be6\u8b49\u6210\u6548\u986f\u793a\uff0c\u672c\u7cfb\u7d71\u4e0d\u50c5\u5c07\u6559\u5e2b\u51fa\u984c\u6642\u9593\u7531 60 \u5206\u9418\u5927\u5e45\u7e2e\u6e1b\u81f3 5 \u5206\u9418\uff1b\u5b78\u751f\u5b8c\u6210\u7b26\u5408\u81ea\u8eab\u80fd\u529b\u7df4\u7fd2\u7684\u6b63\u78ba\u7387\u4ea6\u5f9e 35% \u8e8d\u5347\u81f3 65% \u4ee5\u4e0a\uff0c\u4e14\u81ea\u4e3b\u89e3\u984c\u7684\u6301\u7e8c\u5c08\u6ce8\u6642\u9593\u5e73\u5747\u5ef6\u9577\u81f3\u539f\u4f86\u7684 1.5 \u500d\u3002\u672c\u7cfb\u7d71\u5c07\u79d1\u6280\u8f49\u5316\u70ba\u6559\u80b2\u751f\u7522\u529b\u5de5\u5177\uff0c\u900f\u904e\u81ea\u52d5\u5316\u51fa\u984c\u8207\u5373\u6642\u6578\u64da\u56de\u994b\uff0c\u8b93\u6559\u5e2b\u5f97\u4ee5\u56de\u6b78\u6559\u80b2\u672c\u8cea\uff0c\u6709\u6548\u63d0\u5347\u7279\u6559\u53ca\u4e00\u822c\u73ed\u7d1a\u5dee\u7570\u5316\u6559\u5b78\u4e4b\u6574\u9ad4\u6210\u6548\u3002
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From \"Overwhelming\" to \"Just Right\": Using AI to Develop a Differentiated Basic Math Practice Question Generation System
\nFaced with wide variances in student abilities within resource room settings, teachers often find that traditional manual or uniform worksheets lead to excessive preparation workloads. Simultaneously, students frequently experience learned helplessness and fundamental learning gaps. To address these pain points, this project utilizes the Gemini 3.1 Pro AI model to develop a differentiated basic math practice question generation system. The system implements the innovative concept of \"natural language as code\" and provides dual output modes: printable paper formats and interactive online practice. Through this system, teachers can precisely configure micro-progression parameters\u2014such as the number of digits and carrying\/borrowing operations\u2014based on individual student needs, facilitating a stable transition between learning stages. The online practice mode further integrates visual prompts, immediate grading feedback, and randomly generated motivational quotes grounded in positive psychology to alleviate students' math anxiety. Empirical results indicate that this system dramatically reduces teachers' task-generation time from 60 minutes to just 5 minutes. Furthermore, the accuracy rate of students completing exercises tailored to their abilities surged from 35% to over 65%, and their sustained attention during problem-solving extended to 1.5 times its original duration. By transforming technology into a productivity tool through automated question generation and immediate data feedback, this system allows teachers to return to the essence of education, effectively enhancing differentiated instruction in both special education and regular classrooms.
\nKeywords: Differentiated Instruction, Resource Room, Generative AI, Math Anxiety, Immediate Feedback.<\/p>\n

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