本研究收集了中国一带一路网的绿色发展相关新闻语料并自建语料库,采用话语分析方法,借助语料库工具Sketch Engine和LancsBox探究中国主流媒体在“一带一路”绿色话语中塑造的中国国家形象。研究表明该语料库高频实词主要围绕行为主体、施为及绿色发展三个话题,体现了中国的引领作用、务实精神和对绿色发展的重视。高频词汇搭配网络分析揭示了中国在国际合作中的重要角色及其互利共赢的发展理念。索引行分析则展示了中国在全球绿色发展和环境治理中的积极角色和责任担当。基于以上分析结果,本研究建议主流媒体增加国际化视角叙述、关注报道内容的长期影响,同时完善跟踪评估机制以及时调整报道策略。This study constructs a corpus based on news articles about green development from the Belt and Road Portal and employs discourse analysis to explore how Chinese mainstream media shape the national image of China. Utilizing Sketch Engine and LancsBox, the analysis reveals that the corpus’s high-frequency words primarily focus on the agent, actions, and green development, reflecting China’s leadership, pragmatism, and commitment to sustainable development. The collocation networks of high-frequency words highlight China’s significant efforts in international cooperation and its win-win development philosophy. Additionally, concordance analysis illustrates China’s active role and sense of responsibility in global green development and environmental governance. Based on these findings, the study recommends that mainstream media enhance international narratives, consider the long-term impacts of their reporting, and establish evaluation mechanisms to timely adjust their reporting strategies.
【目的】通过分析城市兴趣点(point of interest,POI)数据,实现场地相关区域城市特征的挖掘,借助黏菌智能体模型接入区域城市特征数据,生成城市公园场地空间结构,为当下城市公园场地设计提供一种复杂系统自组织机制的空间分析方法与设...
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【目的】通过分析城市兴趣点(point of interest,POI)数据,实现场地相关区域城市特征的挖掘,借助黏菌智能体模型接入区域城市特征数据,生成城市公园场地空间结构,为当下城市公园场地设计提供一种复杂系统自组织机制的空间分析方法与设计新思路。【方法】采用基于POI数据映射的黏菌智能体空间网络分析设计方法,通过多智能体模型空间信息模拟,探索城市空间功能渗透下城市公园的系统性空间功能关联,从而引导规划场地的结构生形。【结果】基于POI数据映射的黏菌智能体空间网络分析设计方法在中小场地景观设计中具备较高的可行性。多智能体模型对黏菌生长行为的模拟能够有效反映与场地结构关联的城市信息在场地空间中的渗透结果,形成带有自组织路径肌理的场地空间功能分区。【结论】多智能体模型分析借助空间算法,能有效载入场地及其关联系统空间的设计信息,通过智能体粒子模拟群体行为来形成空间关系映射,可为景观设计带来新的思考范式。
本研究以北京某高校的60名英语专业学生为对象,探讨人工智能辅助学习对学生英语口语能力的影响。采用“破壳AI口语”APP和“AI外教”APP两个人工智能平台,通过实验,探讨人工智能辅助学习对学生口语能力的提升效果;通过问卷调查和访谈,评估学生对人工智能辅助学习的态度及感受。研究发现,高频率的人工智能辅助学习能在短时间内在多个维度有效提升学生的口语表达能力,学生对利用人工智能进行口语训练普遍持积极态度,未来可以适当方式将其纳入英语教学;但研究所使用的人工智能教学平台也存在语音识别不够准确,训练内容较为单一等问题。建议优化该平台中的AI陪练系统,增加个性化学习路径。This study focuses on 60 English major students from a university in Beijing to explore the impact of artificial intelligence assisted learning on their English speaking abilities. Using two artificial intelligence platforms, the “Shell Breaking AI Speaking” APP and the “AI Foreign Teacher” APP, this study explores the effectiveness of AI assisted learning in improving students’ speaking abilities through experiments. Students’ attitudes and feelings towards AI assisted learning are evaluated through questionnaire surveys and interviews. Research has found that high-frequency artificial intelligence assisted learning can effectively improve students’ oral expression ability in multiple dimensions in a short period of time. Students generally hold a positive attitude towards using artificial intelligence for oral training, and it can be appropriately incorporated into English teaching in the future;However, the artificial intelligence teaching platform used by the research institute also has problems such as inaccurate speech recognition and relatively single training content. It is suggested to optimize the AI training system in the platform and add personalized learning paths.
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