Computer Science ›› 2024, Vol. 51 ›› Issue (10): 40-49.doi: 10.11896/jsjkx.240400084
• Technology and Application of Intelligent Education • Previous Articles Next Articles
CUI Jiajun1, KANG Lu1, MA Miao1,2
CLC Number:
| [1]LU Y Y,CHEN Z Z,CHEN R,et al.Research on the application framework of intelligent technology to promote teachers'classroom teaching behavior evaluation[J].Modern Educational Technology,2022,32(12):76-84. [2]EDMUND J,JOHN B.Interaction analysis:theory research and application[J].Behavior Theories,1967(100):402. [3]MOSKOWITZ G.Interaction analysis－a new modern languagefor supervisors[J].Foreign Language Annals,2010,5(2):211-221. [4]HOWE C,ABEDIN M.Classroom dialogue:a systematic review across four decades of research[J].Cambridge Journal of Education,2013,43(3):325-356. [5]CHEN Y S.Multidimensional classroom interaction analysisbased on speech recognition [D].Wuhan:Central China Normal University,2021. [6]NING H,WU J H.Establishing a connection between quantita-tive structure and meaning understanding－an improved application of Flanders interactive analysis technology[J].Educational Research,2003,24(5):23-27. [7]JIN J F,GU X Q.Analysis and research on classroom teaching behavior in the information technology environment[J].China Education Technology,2010(9):82-86. [8]FANG H G,GAO C Z,CHEN J.Improved Flanders interactive analysis system and its application[J].China Education Technology,2012(10):109-113. [9]LI H M,BIAN P,XU M Q.Development of a dual-coding analysis system for interactive teaching of mathematics classroom in a smart classroom environment and mining of behavioral patterns[J].Modern Educational Technology,2024,34(3):105-115. [10]SHAN Y J.Using S-T analysis method to analyze classroomteaching problems in educational technology professional courses[J].Modern Educational Technology,2008(10):29-31. [11]LIU F,LIU Y,HUANG C Y.Comparative analysis of teaching process based on S-T analysis method—taking NetEase video open courses as an example[J].China Education Info,2012(11):58-60. [12]LIU Y,GOU L.Application of S-T analysis method in analysis of geography classroom teaching model[J].Education of Geography,2013,(6):59-60. [13]LIU L X,WANG P,HE A N,et al.Research on the application of S-T analysis method in high school chemistry teaching analysis[J].Education in Chemistry,2014(1):27-30. [14]LI M F,HE F.Analysis of teaching behavior in the “Practice-Feedback” link in the smart classroom-video analysis based on the 19th provincial first-class mathematics lesson example[J].Modern Educational Technology,2019,29(6):62-68. [15]CHEN J T.Research on intelligent image recognition analysis ofclassroom behavior [D].Hangzhou:Zhejiang University,2019. [16]XU J H.Research on intelligent recognition of student class-room behavior based on video streaming [D].Fuzhou:Fujian Normal University,2022. [17]LI M,LIU M,JIANG Z,et al.Multimodal emotion recognition and state analysis of classroom video and audio based on deep neural network[J].Journal of Interconnection Networks,2022,22(Supp4):2146011. [18]MA L D,CAO Y Z,WU S R.Research on teacher-student interaction in high-quality information-based mathematics classrooms in primary schools based on video case analysis[J].Journal of Beijing Institute of Education,2023,37(5):44-54. [19]LIU J L.Research on auxiliary tools for segmentation and annotation of video teaching sessions in high school information technology classrooms [D].Wuhan:Central China Normal University,2023. [20]ZHOU P X,DENG W,GUO P Y,et al.Research on intelligent recognition of S-T behaviors in classroom teaching videos[J].Modern Educational Technology,2018,28(6):54-59. [21]ZHOU J,RAN F,LI G,et al.Classroom learning status assessment based on deep learning[J].Mathematical Problems in Engineering,2022,2022:1-9. [22]PABBA C,KUMAR P.An intelligent system for monitoringstudents' engagement in large classroom teaching through facial expression recognition [J].Expert Systems,2022,39(1):e12839. [23]ZHOU Y H,ZHANG H Y,WANG Y B,et al.Classroom behavior recognitionalgorithm based on AlphaPose[J].Information Technology and Informatization,2023(12):204-208. [24]ZHANG G,WANG L,CHEN Z.Hand-raising gesture detection in classroom with spatial context augmentation and dilated convolution[J].Computers & Graphics,2023,110:151-161. [25]TANG J,ZHANG P,ZHANG J.Design and implementation of intelligent evaluation system based on pattern recognition for microteaching skills training[J].International Journal of Innovative Computing,Information and Control,2023,1(19):153-162. [26]FAN Z J.Design and implementation of classroom teacher-student interactive behavior analysis system [D].Wuhan:Huazhong University of Science and Technology,2018. [27]YANG N Y.Research on the characteristics and effects ofteachers'classroom emotional work [D].Wuhan:Central China Normal University,2020. [28]LUO Z Y,ZHAO Q Q,DUAN F Q.Automatic analysis of classroom teaching process based on teachers'near-field speech[J].Modern Educational Technology,2021,31(8):76-84. [29]ZHENG Z W,HUANG Y T.Research on classroom interaction behavior analysis algorithm based on audio and video[C]//Proceedings of the International Conference on Control and Computer Vision.2022:127-133. [30]HE Y,GONG Y Q.Improving the quality of online learning:a study on teacher-student interaction based on network multi-modal data analysis[C]//Proceedings of the International Conference on Big Data and Education.2022:311-318. [31]HAN H,WANG D Q,CAO C.Analysis and research on classroom teaching interaction behavior in 1∶1 digital environment[J].E-Education Research,2015,36(5):89-95. [32]HUANG Y.Analysis of teachers' teaching speech behavior sup-ported by online course data mining [D].Wuhan:Central China Normal University,2020. [33]CHEN M,LI M Y.Research on classroom teacher-student verbal interaction behavior based on IRF discourse structure[J].Educational Information Technology,2022,(Z2):3-8,30. [34]SGIN J,BALYAN R,BANAWAN M P,et al.Pedagogical discourse markers in online algebra learning:unraveling instructor'scommunication using natural language processing[J].Computers &Education,2023,205:104897. [35]ZHAO Y,KONG X,ZHENG W,et al.Emotion generationmethod in online physical education teaching based on data mi-ning of teacher-student interactions[J].PeerJ Computer Science,2024,10:e1814. [36]SUSANNE K.Contradictory xplorative Assessment.Multimodal Teacher/Student Interaction in Scandinavian Digital Lear-ning Environments[J].Journal of Education and Training Stu-dies,2018,6(2):133-148. [37]WU L,CAO Y,DU Q,et al.The analysis path of classroom teacher behavior supported by artificial intelligence[J].Artificial Intelligence in Education and Teaching Assessment,2021,11:235-245. [38]YU B,LIU Y,CHAN K C C.Multimodal fusion via teacher-student network for indoor action recognition[C]//Proceedings of the AAAI Conference on Artificial Intelligence.2021,35(4):3199-3207. [39]TONG H,YANG Y J.Research on smart classroom teaching in-teraction based on multi-modal data[J].E-Education Research,2022,43(3):60-68. [40]WANG M,LUO L,CHEN Z,et al.Intelligent multimodal analysisframework for teacher-student interaction[C]//2022 International Conference on Intelligent Education and Intelligent Research(IEIR).IEEE,2022:65-70. [41]LI X J,LIU Q T,WU L J,et al.Dynamic collaborative analysis of teachers and students' multimodal interactive behaviors in hybrid synchronous classrooms[J].E-Education Research,2022,43(8):43-50. [42]DUBOVI I.Cognitive and emotional engagement while learning with VR:the perspective of multimodal methodology[J].Computers & Education,2022,183:104495. [43]VIVANTE I,VEDDER-WEISS D.Examining science teachers'engagement in professional development:a multimodal situated perspective[J].Journal of Research in Science Teaching,2023,60(7):1401-1430. [44]XU Y,ZHANG J,ZHANG Q,et al.ViTPose:simple visiontransformer baselines for human pose estimation[J].Advances in Neural Information Processing Systems,2022,35:38571-38584. [45]ZHENG C,WU W,CHEN C,et al.Deep learning-based human pose estimation:a survey[J].ACM Computing Surveys,2023,56(1):1-37. [46]LI J N,WANG D K,ZHANG S L.Deep-learning-based 2D human pose estimation:present and future[J].Chinese Journal of Computers,2024,47(1):231-250. [47]SHI D,ZHONG Y,CAO Q,et al.Tridet:temporal action detection with relative boundary modeling[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.2023:18857-18866. [48]HU K,SHEN C,WANG T,et al.Overview of temporal actiondetection based on deep learning[J].Artificial Intelligence Review,2024,57(2):26. [49]HUANG X K,ZHANG J Y,WANG X Y,et al.Survey of dense video captioning[J].Computer Engineering and Applications,2023,59(12):28-48. [50]TANG P J,WANG H L.From video to language:survey of vi-deo captioning and description[J].Journal of Automation,2022,48(2):375-397. [51]SHEN X,LI D,ZHOU J,et al.Fine-grained audible video description[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.2023:10585-10596. [52]XU H,ZHANG K,TIAN Y J,et al.Review of deep neural network-Based image Caption[J].Computer Engineering and Applications,2021,57(9):14. [53]SHI Y L,YANG W Z,DU H X,et al.A review of deep learning-based image description[J].Chinese Journal of Electronics,2021,49(10):2048-2060. [54]RAHMANI H,BENNAMOUN M,KE Q,et al.Human action recognition from various data modalities:a review[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2022,45(3):3200-3225. [55]BI C Y,LIU Y.A survey of video human action recognitionbased on deep learning[J].Journal of Graphics,2023,44(4):625-639. [56]LIN L,ZHANG J,LIU J.Actionlet-dependent contrastive lear-ning for unsupervised skeleton-based action recognition[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.2023:2363-2372. [57]WU T,CAO M,GAO Z,et al.Stmixer:a one-stage sparse action detector[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.2023:14720-14729. [58]XIE Y G,WANG Q.Summary of dynamic gesture recognition based on vision[J].Computer Engineering and Applications,2021,57(22):68-77. [59]WANG R P,WU S H,ZHANG M H,et al.Review of vision-based neural network 3D dynamic gesture recognition methods[J].Computer Science,2024,51(4):193-208. [60]BAO H,HU W X.Technical features of facial expression recognition and analysis of educational application scenarios[J].Electronic Engineering & Product World,2023,30(3):39-43. [61]LIN S N,ZHAO R,ZHANG W.A review of deep learning-based research on student expression recognition[J].Information Technology & Informatization,2023(11):188-194. [62]MA H,TANG B R,ZHANG Y,et al.Survey on speech recognition[J].Computer Systems & Applications,2022,31(1):1-10. [63]WANG A H,ZHANG L,SONG W Y,et al.Review of end-to-end streaming speech recognition[J].Computer Engineering and Applications,2023,59(2):22-33. [64]WANG W C.Research on speaker clustering and identification methods based on deep convolutional network [D].Guangzhou:South China University of Technology,2021. [65]BECCARO W,RAMÍREZ M A,LIAW W, et al.Analysis oforal exams with speaker diarization and speech emotion recognition:a case study[J].IEEE Transactions on Education,2023,67(1):74-86. [66]LUO Y Y,QIN X D,XIE Y P,et al.Intelligent data visualization analysis techniques:a survey[J].Journal of Software,2024,35(1):356-404. |
| [1] | ZHANG Lianfu, TAN Zuowen. Federated Learning Privacy-preserving Approach for Multimodal Medical Data [J]. Computer Science, 2023, 50(11A): 230800021-8. |
| [2] | ZHAO Liang, ZHANG Jie, CHEN Zhi-kui. Adaptive Multimodal Robust Feature Learning Based on Dual Graph-regularization [J]. Computer Science, 2022, 49(4): 124-133. |
| [3] | JIAN Song-lei, LU Kai. Survey on Representation Learning of Complex Heterogeneous Data [J]. Computer Science, 2020, 47(2): 1-9. |
| [4] | LIN Min-hong, MENG Zu-qiang. Multimodal Sentiment Analysis Based on Attention Neural Network [J]. Computer Science, 2020, 47(11A): 508-514. |
| [5] | XU Cheng-hao, GUO Bin, OUYANG Yi, ZHAI Shu-ying and YU Zhi-wen. Event Sensing and Multimodal Event Vein Generation Leveraging Social Media [J]. Computer Science, 2017, 44(Z6): 33-36. |
|
||
Home