首页|New Intelligent Systems Research Has Been Reported by a Researcher at Hebei Univ ersity of Architecture (Application of online teaching-based classroom behavior capture and analysis system in student management)
New Intelligent Systems Research Has Been Reported by a Researcher at Hebei Univ ersity of Architecture (Application of online teaching-based classroom behavior capture and analysis system in student management)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in intelli gent systems. According to news originating from Zhangjiakou, People's Republic of China, by NewsRx correspondents, research stated, "Analyzing online learning behavior helps to understand students' progress, difficulties, and needs during the learning process, making it easier for teachers to provide timely feedback a nd personalized guidance." The news reporters obtained a quote from the research from Hebei University of A rchitecture: "However, the classroom behavior (CB) of online teaching is complex and variable, and relying on traditional classroom supervision methods, teacher s find it difficult to comprehensively pay attention to the learning behavior of each student. In this regard, a dual stream network was designed to capture and analyze CB by integrating AlphaPose human keypoint detection method and image d ata method. The experimental results show that when the learning rate of the mod el parameters is set to 0.001, the accuracy of the model is as high as 92.3% . When the batch size is 8, the accuracy of the model is as high as 90.8% . The accuracy of the fusion model in capturing upright sitting behavior reached 97.3%, but the accuracy in capturing hand raising behavior decreas ed to only 74.8%. The fusion model performs well in terms of accura cy and recall, with recall rates of 88.3, 86.2, and 85.1% for capt uring standing up, raising hands, and sitting upright behaviors, respectively."
Hebei University of ArchitectureZhangj iakouPeople's Republic of ChinaAsiaIntelligent SystemsMachine Learning
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