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Design and Evaluation of a Question-Answering System Based on Knowledge Graph-Augmented Large Language Models in K–12 Artificial Intelligence Curriculum.

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Title: Design and Evaluation of a Question-Answering System Based on Knowledge Graph-Augmented Large Language Models in K–12 Artificial Intelligence Curriculum.
Authors: Huang, Jingxiu1, Lai, Feiyu1, Zheng, Zixuan1, ruilin@m.scnu.edu.cn, Lai, Ruilin1, Chen, Xingyu1, Tian, Jun1, Zheng, Yunxiang1
Source: Applied Sciences (2076-3417); Apr2026, Vol. 16 Issue 7, p3552, 23p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192959895
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PubType: Academic Journal
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        Value: 10.3390/app16073552
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      – Code: eng
        Text: English
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        PageCount: 23
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      – TitleFull: Design and Evaluation of a Question-Answering System Based on Knowledge Graph-Augmented Large Language Models in K–12 Artificial Intelligence Curriculum.
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              Text: Apr2026
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              Y: 2026
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