You will be provided with a reference and some statements. Please determine whether each statement is 'supported', 'unsupported', or 'unknown' with respect to the reference. Please note:
First, assess whether the reference contains any valid content. If the reference contains no valid information, such as a 'page not found' message, then all statements should be considered 'unknown'.
If the reference is valid, for a given statement: if the facts or data it contains can be found entirely or partially within the reference, it is considered 'supported' (data accepts rounding); if all facts and data in the statement cannot be found in the reference, it is considered 'unsupported'.

You should return the result in a JSON list format, where each item in the list contains the statement's index and the judgment result, for example:
[
    {
        "idx": 1,
        "result": "supported"
    },
    {
        "idx": 2,
        "result": "unsupported"
    }
]

Below are the reference and statements:
<reference>
人工智能及其相关设备在‘学，练，赛’一体化教学中的嵌入——以体育教学为例 | 孙 | 体能科学

人工智能及其相关设备在‘学，练，赛’一体化教学中的嵌入——以体育教学为例

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>

卷 6, 编号 1 (2026)
>
孙

人工智能及其相关设备在‘学，练，赛’一体化教学中的嵌入——以体育教学为例

孙啸宇 (温州市职业中等专业学校)

摘要

研究探讨了“教会、勤练、常赛”体育教学理念与人工智能（AI）及可穿戴设备在体育课堂中的深度融合，旨在提升体育教学的效果与学生的运动表现。根据《义务教育体育与健康课程标准（2022年版）》和《“健康中国2030”规划纲要》，结合“学、练、赛”一体化教学模式，本研究分析了AI技术如何通过结构化知识图谱、个性化学习路径、运动表现分析等方式应用数据驱动的教学方法连接学、练、赛三个环节，推动体育教育的创新与发展。最终，本研究提出了对相关设备并发效度，及其可接受度等研究的质疑与建议，旨在为一线教学工作提供可行的策略和方法。

关键词

人工智能；一体化教学；体育教学

全文:

PDF

参考

翟宗鹏,郭永波.新课标视域下“学、练、赛”一体化教学的主要特征、现实问题及实现路径[J].上海体育大学学报,2024,48(2):34-44.

唐国瑞,梁奎,华超.基于“学、练、赛”一体化的体育大单元教学设计探析[J].体育教学,2025(5):84-88.

Yue H,Lin H,Jin Y,et al.Opening Knowledge Graph Model Building of Artificial Intelligence Curriculum[J].International journal of emerging technologies in learning,2022,17(14):64-77.

李阳,王长权.我国体育人工智能领域研究的演进、热点与前沿——基于CiteSpace知识图谱的可视化计量分析[J].南京体育学院学报,2024,23(8):17-26.

Dauenhauer B D,Keating X D,Lambdin D.An examination of physical education data sources and collection procedures during a federally funded grant[J].Journal of Teaching in Physical Education,2018,37(1):46-58.

Marttinen R,Landi D,Fredrick R N,et al.Wearable digital technology in PE: advantages, barriers, and teachers’ ideologies[J].Journal of Teaching in Physical Education,2019,39(2):227-235.

Rebelo A,Martinho D V,Valente-Dos-Santos J,et al.From data to action: a scoping review of wearable technologies and biomechanical assessments informing injury prevention strategies in sport[J].BMC Sports Science, Medicine and Rehabilitation,2023,15(1):169.

Camomilla V,Bergamini E,Fantozzi S,et al.Trends supporting the in-field use of wearable inertial sensors for sport performance evaluation: A systematic review[J].Sensors,2018,18(3):873.

李文江,于素梅,刘曦.指向“学、练、赛、评”一体化的基本运动技能教学实施要点[J].体育教学,2023,43(8):20-23.

蒋新成.“四化”转型——“学练赛评”一体化的大单元教学设计[J].教学与管理,2024(11):58-61.

García-Luna M A,Jimenez-Olmedo J M,Pueo B,et al.Concurrent Validity of the Ergotex Device for Measuring Low Back Posture[J].Bioengineering (Basel),2024,11(1):98.

DOI:
https://doi.org/10.33142/jscs.v6i1.18534

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的许可。
</reference>

<statements>
1. The practical conclusion is that construction is feasible and partially operational, while application claims require stronger independent validation of device validity, privacy, usability, teacher integration and longitudinal learning outcomes
2. One analysis grounds “learn, practice, compete” integration in the 2022 compulsory-education physical education and health curriculum standard and the “Healthy China 2030” plan
3. A policy-oriented PE analysis describes structured knowledge graphs, personalized learning paths and performance analysis as the mechanism connecting learning, practice and competition
4. The policy analysis emphasizes “teach well, practice diligently, compete often” and connects AI devices to learning, practice and competition
5. A PE policy analysis explicitly questions the concurrent validity and acceptability of AI and wearable devices and calls for validation studies
6. Whether existing sensor and ITS evaluation methods can be harmonized into a common validation protocol remains open, given calls for device validity, standardized practices and longer interventions
7. A defensible next step is to combine the cloud–edge–end architecture, the digital-base and platform layers, deployed gateway stacks and coaching-generation models under a validation regime that includes device concurrent validity
</statements>

Begin the assessment now. Output only the JSON list, without any conversational text or explanations.