“互联网+”时代背景下智慧课堂交互行为数据精准搜索方法  

Accurate search method of interactive behavior data of intelligent classroom under the background of“Internet+”era

作　　者：吴静莉[1] WU Jingli(Electronic Informational Engineering College,HEBI Polytechnic,Hebi 458030,China)

机构地区：[1]鹤壁职业技术学院电子信息工程学院,河南鹤壁458030

出　　处：《无线互联科技》2024年第19期46-48,共3页Wireless Internet Science and Technology

摘　　要：在智慧课堂环境中,交互行为数据的复杂性难以保障准确的搜索结果。因此,在“互联网+”时代背景下,文章提出对智慧课堂交互行为数据进行精准搜索的方法并构建了一个智慧课堂交互行为数据分类模型,从“人-人交互”和“人-内容交互”2个维度深入分析智慧课堂交互行为数据的构成。为实现精准搜索,文章设置了带有唯一标签的智慧课堂交互行为数据染色体,基于目标对象的唯一标签,精准地确定搜索结果。测试结果显示,该方法能够显著提升交互行为数据的搜索精准性,与对照组相比具有明显优势,查全率偏差基本稳定在5.0%以内,最大偏差仅为6.0%,最小偏差达到了0。In the smart classroom environment,due to the complexity of interactive behavior data,the accuracy of search results is difficult to guarantee.Therefore,the research on the method of precise search for interactive behavior data of smart classroom in the context of the“Internet+”era is proposed.A smart classroom interaction behavior data classification model has been constructed,which deeply analyzes the composition of smart classroom interaction behavior data from two dimensions:“human human interaction”and“human content interaction”.In order to achieve precise search,a smart classroom interaction behavior data chromosome with a unique label was set up,which can accurately determine the search results based on the unique label of the target object.The test results show that after adopting the design method,the search accuracy of interactive behavior data is significantly improved,with a significant advantage compared to the control group.The recall deviation is basically stable within 5.0%,the maximum deviation is only 6.0%,and the minimum deviation reaches 0.

关 键 词：智慧课堂 交互行为数据 精准搜索 分类模型 唯一标签 交互行为数据染色体 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]