Haiguang Fang
ABSTRACT
The analysis of interactive behaviors in the classroom has been a hot topic since the proposal of the Flanders Interaction Analysis System. With the continuous development of information technology and intelligent educational environments, the types of classrooms are constantly changing. In order to deal with the popular smart classroom environment and explore its inherent nature, it is necessary to study the framework for analyzing interactive behaviors in smart classrooms. In smart classrooms, teachers and students generate a large amount of multimodal data not only in the physical environment but also in the virtual environment of the network. These data provide rich sources for researchers. Therefore, from the initial study of speech modal data analysis in the classroom to the current more accurate analysis of teacher-student interactions in smart classrooms through observing gestures, expressions, actions, and network platform data, it gradually becomes possible. This paper uses literature research methods and a multimodal perspective to observe high-quality smart classroom videos and summarize the interactive behaviors in smart classrooms. Based on this, a framework for analyzing interactive behaviors in smart classrooms based on multimodal data is designed, which is necessary.
- Wang,W.F.Mao,M.J.Yan,H.B.(2022).Jingzhun jiaoyan shiyu xiade jiaoshi pingke fankui fenxi moxing yanjiu[Research on the feedback analysis model of teachers’ evaluation of lessons from the perspective of precise teaching research ]. Dianhua jiaoyu yanjiu,43 (01),122-128.Google Scholar
- Hu,X.Y. Lin,Z.R.(2019).Jingzhun jiaoyan shiyu xiade jiaoshi huaxiang yanjiu[Research on teacher portraits in the perspective of precision teaching and research]. Dianhua jiaoyu yanjiu,40 (07) ,84-91.Google Scholar
- Wang,X.C. Jiang,S.X. Huang,R.H.(2015).Mianxiang zhihui jiaoshi dezhong xiaoxue ketang hudong guancha gongju yanjiu[Research on classroom interaction observation tools for smarts classrooms in primary and secondary schools]. Dianhua jiaoyu yanjiu,36 (09),49-53.Google Scholar
- Giannakos,M.N., Sharma, K., Pappas, I. O., Kostakos, V., & Velloso, E.(2019). Multimoda data as a means to understand the learning experience. International Journal of Information Management, 48, 108-119.Google Scholar
- Wang,W.F. Mao,M.J.(2021).Duomo taixue xifen xi: lijie yuping jiazhen shixue xide xinlu xiang[Multimodal learning analysis: understanding and evaluating the new direction of real learning]. Dianhua jiaoyu yanjiu,42 (02), 25-32.Google Scholar
- Blikstein,P.Worsley M. Multimodal Learning Analytics and Education Data Mining: Using Computational Technologies to Measure Complex Learning Tasks[J]. Journal of Learning Analytics, 2016,3 (2),220-238.Google ScholarCross Ref
- Chen,K.Q. Zhang,C.X. Wu,Y.Y.(2019).Jiaoyu rengong zhineng(EAI) zhongde duomo taixue xifen xi、shiying xingfan kuiji renji xietong [Multimodal learning analysis, adaptive feedback and human-machine collaboration in educational artificial intelligence(EAI)]. Yuancheng jiaoyu zazhi, 37 (05), 24-34.Google Scholar
- Li,S.N.(2019).Jiyu rengong zhineng jishu deke tangjiao xuexing weide fenxi kuangjia goujian yanjiu[Research on the construction of analytical framework of classroom teaching behavior based on AI technology]. Beijing youdian daxue.Google Scholar
- xAPI Base Standard Overview.md · main · xAPI / xapi-base-standard-documentation · GitLabGoogle Scholar
- Fang,H.G.Hu,Y.Y. Du,Z.(2015).Jiyu xAPI xuexi jilu de LMS wangluo xitong jiagou yanjiu[Research on LMS network system architecture based on xAPI learning records]. Zhongguo dianhua jiaoyu, 337 (02), 65-69.Google Scholar
- Ye,H.S.(2015).Shenti yuxue xi: jushen renzhi jiqi duichuan tongjiao yuguan detiao zhan[Body and learning: embodied cognition and its challenge to traditional education].JiaoyuJ yanjiu,36 (04), 104-114.Google Scholar
- Zhao,X.M. Zhong,S.C.(2021).Jushen renzhi shiyu xiacu jingao jiesi weifa zhande duomo taijiao huji zhiyan jiu[Research on multimodal interaction mechanism to promote the development of higher-order thinking from thet perspective of embodied cognition]. Dianhua jiaoyu yanjiu,42 (08),65-71+87.Google Scholar
- Li,H.M. Wang,L.L.Bian,P.Ji,H.L.Li,Qi.(2022).Mianxiang jiaoxue xingwei dashu jude ketang hudong shuangbian matong yongfen xikuang jiaji qibian shiying yong[A universal analytical framework for classroom interaction and double coding for big data of teaching behavior and its variant application]. Yuancheng jiaoyu zazhi,40 (03).Google Scholar
- Hu,Q.T.(2010).Lunxin xishi daide jiaoyu chuanbo yanjiu fanshi[On the Research Paradigm of Educational Communication in the Information Age]. Dianhua jiaoyu yanjiu,(12), 5-8.Google Scholar
- Ma,Y.F. Zheng,X.D. Zhao,R.Liu,H.(2022).Shengdu xuexi defa shengji zhiyu duomo taishu juping ceyan jiu[Research on the mechanism of deep learning and multimodal data evaluation]. Yuancheng jiaoyu zazhi,40 (01), 50-60.Google Scholar
- Yang,Y.J.Xu,G.Tong,H.(2022).Zhineng xuexi huanjing zhongji yuduo motai deshen duxue xijian ceyan jiu[Research on deep learning monitoring based on multimodal data in intelligent learning environment]. Dianhua jiaoyu yanjiu,43 (06),68-76.Google Scholar
- Liu,X. Liu,G.P. Liao,J.(2023).Zhihui jiaoshi jiegou moxing goujian yanjiu-”gongneng-jiegou” guanxi shijiao[Research on the construction of smart classroom structure model – “function-structure” relationship perspective]. Zhongguo yuancheng jiaoyu,43 (02),45-53.Google Scholar
- Wang,D.(2020).Jiyu xueqing dezhi huike tangjiao humo xingshe jiyu yingyong[Design and application of smart classroom interaction model based on learning situation annalysis]. Yunnan shifan daxue.Google Scholar
Index Terms
- Research on a Framework for Analyzing Interactive Behaviors in Smart Classroom Based on Multimodal Data and Its Application
Recommendations
Research on the Application of Flipped Classroom Model in English Teaching
ICDTE '17: Proceedings of the 1st International Conference on Digital Technology in EducationFlipped classroom model, which integrates the traditional face-to-face interaction model in classroom with self-paced e-learning model on the Internet, has significance to modern English teaching. In this study, we designed a series of teaching programs ...
A new framework for smart classroom research: co-designing curriculum, research and technology
CSCL'09: Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 2This new program of research explores how technology can enable smart classrooms where learning transcends traditional class boarders, engages students and teachers with Web 2.0 approaches, and supports a community of learners in developing knowledge. ...
Research on the Detection and Analysis of Students’ Classroom Behavioral Features Based on Deep CNNs
The continuous development of artificial intelligence technology has caused the traditional education model to begin to change as well. The new educational model of applying intelligent monitoring devices to modern classrooms, thus assisting teachers in ...
Comments