数智时代基于生成式人工智能的作业设计模式重构  

Reconstruction of assignment design patterns based on generative AI in the digital intelligence era

作　　者：乔雪峰 杨晓宇 金仪璠 QIAO Xuefeng;YANG Xiaoyu;JIN Yifan(School of Educational Science,Nanjing Normal University,Nanjing,Jiangsu 210097,China;Longcheng Innovation School of Longcheng Senior High School(Education Group),Shenzhen,Guangdong 518000,China)

机构地区：[1]南京师范大学教育科学学院,江苏南京210097 [2]龙城高级中学(教育集团)龙城创新学校,广东深圳518000

出　　处：《教学研究》2025年第1期11-19,共9页Research in Teaching

基　　金：江苏高校哲学社会科学研究重大项目(2022SJZD143);深圳市教育科学“十四五”规划2023年度课题(yb23270)。

摘　　要：教育数字化转型背景下,传统作业设计模式面临着适应性危机,难以满足学生个性化的学习需求和数字素养培养要求。聚焦生成式人工智能支持下的作业设计模式重构,推动教学范式的深层变革,构建了一个包含作业目标、内容、形式和评价四个子系统的整合性框架,形成了动态协同的目标设定机制、分层生成的内容创制策略、交互式创新的形式设计方法和闭环优化的评价模式。此模式可推动教师角色转型、学生主体性增强,促进教育评价方式的系统性变革。In the context of educational digital transformation and policy reforms,traditional assignment design paradigms face significant challenges in meeting the demands of personalized learning and fostering digital competencies.This study investigates the reconstruction of assignment design patterns facilitated by generative artificial intelligence,thereby catalyzing profound pedagogical paradigm shifts.It proposes an integrative framework comprising four interconnected subsystems:assignment objectives,content generation,form design,and evaluation mechanisms.This pattern synthesizes teachers’pedagogical expertise with AI capabilities,establishing a synergistic approach to assignment design.It develops a dynamically collaborative goal-setting mechanism,a stratified content creation strategy,an interactive and innovative form design methodology,and a closed-loop optimized evaluation system.This pattern could facilitate the transformation of teacher roles,enhances student agency,and promotes systematic reform in educational evaluation methods.

关 键 词：生成式人工智能 人机协同 作业设计 个性化学习 

分 类 号：G424[文化科学—课程与教学论]