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Student behavior recognition based on multitask learning
The assessment of students’ classroom behavior is an important part of classroom teaching evaluation. However, teachers cannot timely, objectively...
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Recognition of student engagement in classroom from affective states
Student engagement is positively related to comprehension in teaching–learning process. Student engagement is widely studied in online learning...
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A digital pen-based writing state recognition algorithm for student performance assessment
Technology-enhanced learning is an irresistible trend in intelligent education. However, most digital pen-based studies focus on handwriting...
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Revolutionizing online education: Advanced facial expression recognition for real-time student progress tracking via deep learning model
This paper presents a groundbreaking online educational platform that utilizes facial expression recognition technology to track the progress of...
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Complex event recognition and anomaly detection with event behavior model
The concept of complex event processing refers to the process of tracking and analyzing a set of related events and drawing conclusions from them....
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An algorithm for abnormal behavior recognition based on sharing human target tracking features
Human behavior recognition is a hot research topic in the field of computer vision, and a complete behavior recognition usually includes human...
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STRAN: Student expression recognition based on spatio-temporal residual attention network in classroom teaching videos
In order to obtain the state of students’ listening in class objectively and accurately, we can obtain students’ emotions through their expressions...
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Assessing student engagement from facial behavior in on-line learning
The automatic monitoring and assessment of the engagement level of learners in distance education may help in understanding problems and providing...
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Modeling the use behavior of interpreting technology for student interpreters: An extension of UTAUT model
The growing popularity of interpreting technology in the industry has raised awareness of incorporating it into interpreter education. However, it is...
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Student Classroom Behavior Detection Based on YOLOv7+BRA and Multi-model Fusion
Accurately detecting student behavior in classroom videos can aid in analyzing their classroom performance and improving teaching effectiveness....
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Human skeleton behavior recognition model based on multi-object pose estimation with spatiotemporal semantics
Multi-object pose estimation in surveillance scenes is challenging and inaccurate due to object motion blur and pose occlusion in video data....
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NaMemo2: Facilitating Teacher-Student Interaction with Theory-Based Design and Student Autonomy Consideration
Teacher-student interaction (TSI) is essential for learning efficiency and harmonious teacher-student interpersonal relationships. However, studies...
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Research on recognition of students attention in offline classroom-based on deep learning
Online education has been expected to be the future of learning; it will never replace the value of traditional classroom experiences fully....
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Multi-object behaviour recognition based on object detection cascaded image classification in classroom scenes
For multi-object behaviour recognition in classroom scenes, crowded objects have heavy occlusion, invisible keypoints, scale variation, which...
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Affect Behavior Prediction: Using Transformers and Timing Information to Make Early Predictions of Student Exercise Outcome
Early prediction of student outcomes, as they practice with an intelligent tutoring system is crucial for providing timely and effective...
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Pose+Context: A Model for Recognizing Non-verbal Teaching Behavior of Normal College Student
Normal college students practice their teaching skills to prepare for their teacher career. However, due to the complexity of teaching skills and the...
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Student engagement detection in online environment using computer vision and multi-dimensional feature fusion
In the post-COVID-19 era, online learning has changed from an emergency teaching method to a new, normalized one. However, online learning is often...
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Revisiting segmentation-guided denoising student–teacher in anomaly detection
Anomaly detection is a critical issue that needs to be addressed in large-scale industrial manufacturing. DeSTSeg integrates a pre-trained teacher...
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A prediction model of student performance based on self-attention mechanism
Performance prediction is an important research facet of educational data mining. Most models extract student behavior features from campus card data...
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Research on Collaborative Learning Behavior Recognition of Online Education Platform Based on Data Mining
The time sequence information of traditional online education platform collaborative learning behavior recognition method is not comprehensive,...