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世界数字教育联盟:2026世界数字教育创新案例集——场景驱动的人工智能+教育变革(英文版)(93页).pdf

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1、Best Practices in AIED:Best Practices in AIED:Scenarios-Driven Educational TransformationPrefaceThe intelligent era brings about reconstruction of education ecosystems.Artificial intelligence isreshaping not merely the tools we use,but fundamentally what we learn,how we teach,how wemanage,and how we

2、 assess,from school-based learning to lifelong education systems for all.Inresponse to this pivotal moment,the World Digital Education Alliance(WDEA)launched a globalinitiative calling for cases of best practices on Scenario-Driven Artificial Intelligence+EducationTransformation.This call aimed to i

3、dentify,verify,and share promising AI-powered educationalpractices across all educational levels and fields.The call presented eight scenarios,namely,to enableimmersive&practical learning,innovate classroom instruction,personalize teaching&learning,optimize management&services,transform assessment&e

4、valuation,pioneer new frontiers ineducation,enable AI-powered scientific research,and last but not least,towards AI-enabled lifelonglearning.We were seeking innovative applications and technical solutions driven by real-world scenarios,addressing real problems,and delivering outstanding results.We r

5、eceived over 500 submissions fromover 50 countries and regions,spanning every continent and every education level.Five evaluationdimensions guided our selection:innovation,effectiveness and value,replicability,content quality,andsupporting evidence.We prioritized cases that demonstrated not mere tec

6、hnological novelty,butgenuine educational transformationprocesses that could be adapted across different resourcesettings,cultural contexts,and educational stages.After experts evaluation,100 exemplary cases were selected,and the Top 10 Innovative Cases havebeen identified.They are not theoretical p

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1. **全球AI教育实践征集**:世界数字教育联盟(WDEA)发起全球倡议,收到50余国500+案例,评选出100个优秀案例及Top 10创新案例,聚焦八大场景(如沉浸式学习、个性化教学等)。 2. **评估标准**:基于创新性、有效性、可复制性、内容质量及证据支持五维度,强调教育变革而非单纯技术 novelty。 3. **核心案例数据**: - 杭州“领航科学”项目:覆盖180所学校,教师AI备课超8000小时,学生提问31万+,实践任务300+。 - 北京师范大学AI综合素质评价:覆盖44个地区、8000+学校,百万学生数据,建立全国常模数据库,生成1200万+学生报告。 4. **推广价值**:提供政府-企业-学校协同模式,推动教育公平与智能化,为全球SDG 4目标贡献中国方案。
**AI如何重塑教育?** **科学教育新在哪?** **评价如何智能化?**
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