作者机构：
[Wu, Lihanjing; Li, Hui; Gou, Jiawen] Cent China Normal Univ, Wuhan 430070, Hubei, Peoples R China.
会议名称：
4th International Conference on HCI in Games Held as Part of the 24th International Conference on Human-Computer Interaction (HCII)
会议时间：
JUN 26-JUL 01, 2022
会议地点：
ELECTR NETWORK
会议主办单位：
[Gou, Jiawen;Wu, Lihanjing;Li, Hui] Cent China Normal Univ, Wuhan 430070, Hubei, Peoples R China.
会议论文集名称：
Lecture Notes in Computer Science
关键词：
Parent-child communication;Video game playing;Cross-lagged analysis
摘要：
With the development of computer technology, more and more teenagers devote abundant time and effort to video games. Previous cross-sectional studies have found a negative relationship between video game playing time and parent-child communication frequency, but the causal direction between the two is still unclear. Therefore, the current study aimed to explore the direction of the relationship between video game playing time and parent-child communication frequency among Chinese junior high school students. We analyzed the longitudinal data from the China Education Panel Survey (CEPS). A total of 7340 junior high school students were analyzed across an academic year using cross-lagged analysis. The study results showed that the relationship between video game playing time and parent-child communication frequency is bidirectional. Our research helps to prevent and intervene in junior high school students' excessive video game playing from a family perspective. Given the bidirectional influence between these two variables, families should focus on increasing parent-child communication with children to prevent junior high school students from excessive video game playing time.
作者机构：
[Feng, Feng; Ma, Kaixue; Li, Mutian] Tianjin Univ, Sch Microelect, Tianjin, Peoples R China.;[Zhang, Wei] Beijing Univ Posts & Telecommun, Sch Elect Engn, Beijing, Peoples R China.;[Jin, Jing] Cent China Normal Univ, Coll Phys Sci & Technol, Wuhan, Peoples R China.;[Zhang, Qi-Jun] Carleton Univ, Dept Elect, Ottawa, ON K1S5B6, Canada.
会议名称：
IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP)
会议时间：
NOV 27-29, 2022
会议地点：
S China Univ Technol, Guangzhou, PEOPLES R CHINA
会议主办单位：
S China Univ Technol
关键词：
Space mapping (SM);electromagnetic (EM) optimization;H-plane waveguide filter
摘要：
Space mapping (SM) technique has been employed in electromagnetic (EM) optimization fields far and wide. Mapping between coarse-fine mesh is one of the SM methods proposed in recent years. This paper aims to apply the coarse-fine mesh space mapping technique with mesh warping to optimize a three-cavity H-plane rectangular waveguide filter.
摘要：
The El Nino-Southern Oscillation (ENSO), as one of the main factors driving extreme climate events, exerts a major influence on interannual climate variability around the world. However, ENSO effects on vegetation, especially regarding the extent, intensity, direction, are not well understood. Here, we characterize and compare the variability in vegetation response to ENSO across China and Australia and explore their underlying mechanisms. Results show that the spatial extent of ENSO-sensitive vegetation differed between China and Australia and across land cover types. For both China and Australia, the intensity and direction of vegetation anomalies were closely related to the type of ENSO events. In particular, vegetation anomalies to the Central-Pacific (CP) type ENSO events were stronger than that to the Eastern-Pacific (EP) type events of the same intensity and generally responded in an opposite way, resulting from different controls of CP-type and EP-type ENSO on precipitation and temperature. Our fmdings highlight the diverse response of vegetation triggered by different types of ENSO in China and Australia, which can improve our understanding of ENSO impacts on ecosystems in the northern and southern hemispheres.
作者机构：
[Salas-Pilco, Sdenka Zobeida] Cent China Normal Univ, Fac Artificial Intelligence Educ, Wuhan, Peoples R China.
会议名称：
6th IEEE World Engineering Education Conference (EDUNINE) - Rethinking Engineering Education After COVID-19 - A Path to the New Normal / Smart Distributed Conference
摘要：
Since 2020, the COVID-19 pandemic has impacted the education system, causing a shift towards online distance education. This systematic review aims to systematize research studies focused on science, technology, engineering, and mathematics (STEM) higher education in Latin America. The search was conducted on the Web of Science, IEEE Xplore, ACM Library, and Scielo databases. In total, 18 studies were selected from the fields of biology (01), chemistry (02), computer science (04), information science (02), engineering (06), systems engineering (02), and interdisciplinary (01). The results show that online learning partially followed a constructivist approach, but sometimes caused stress and depression in students. While online teaching employed gamification, and virtual laboratories, it increased professors' workload. Universities implemented online courses, and some promoted interdisciplinary research. This review discusses the challenges and opportunities of online distance education by demonstrating the efforts made to introduce this modality of education in Latin American higher education institutions.
作者机构：
[Li, Wanxin; Wang, Wei; Jin, Lianghao; Xie, Wei] Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smar, Wuhan, Peoples R China.;[Li, Wanxin; Wang, Wei; Jin, Lianghao; Xie, Wei] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.;[Tu, Zhigang] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Peoples R China.
会议名称：
IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) / IEEE World Congress on Computational Intelligence (IEEE WCCI) / International Joint Conference on Neural Networks (IJCNN) / IEEE Congress on Evolutionary Computation (IEEE CEC)
会议时间：
JUL 18-23, 2022
会议地点：
Padua, ITALY
会议主办单位：
[Wang, Wei;Xie, Wei;Li, Wanxin;Jin, Lianghao] Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smar, Wuhan, Peoples R China.^[Wang, Wei;Xie, Wei;Li, Wanxin;Jin, Lianghao] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.^[Tu, Zhigang] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Peoples R China.
会议论文集名称：
IEEE International Joint Conference on Neural Networks (IJCNN)
摘要：
In skeleton-based action recognition task, graph convolutional network has attracted widespread attention and achieved remarkable results. However, most of the current methods are performing graph convolution on the entire skeleton graph, ignoring the fact that people are composed of different body parts. In addition, previous work ignores the temporal and spatial independence and relevance of different parts. Thus, to solve these issues, we optimize the representation of the skeleton graph, graph convolution and temporal convolution respectively. In this work, we propose multi-part adaptive graph convolution (MPA-GC) to adaptively learn the topology of each part of the body and dynamically aggregate the relevance between them. Meanwhile, we add a multi-scale temporal convolution module to better obtain temporal dimension features. Ultimately, we develop a powerful graph convolutional network named MPA-GCN, and extensive experiments on two public large-scale datasets NTU-RGB+D and NTU-RGB+D120 demonstrate the effectiveness of our module, which outperforms state-of-the-art methods.
期刊：
2022 2ND IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND ARTIFICIAL INTELLIGENCE (SEAI 2022),2022年:151-154
作者机构：
[Liu, Fuhao] Cent China Normal Univ, Coll Phys Sci & Technol, Wuhan, Peoples R China.;[Zhang, Xin; Shuai, Yongmin] Wuhan Maritime Commun Res Inst, Wuhan, Peoples R China.;[Zeng, Yong; Xiong, Yunfei] Wuhan Fiberhome Tech Serv Co Ltd, Wuhan, Peoples R China.
会议名称：
2nd IEEE International Conference on Software Engineering and Artificial Intelligence (SEAI) / 7th International Workshop on Pattern Recognition (IWPR)
会议时间：
JUN 10-12, 2022
会议地点：
Huaqiao Univ, Coll Comp Sci & Technol, Xiamen, PEOPLES R CHINA
会议主办单位：
Huaqiao Univ, Coll Comp Sci & Technol
关键词：
g-computation;time-dependent confounding;cause effect;longitudinal data
摘要：
Longitudinal studies, common in medical research, belong observational studies that collect data about subjects repeatedly over a period of time. In longitudinal data, exposure and confounding change over time, so longitudinal data cannot be studied with research methods that target cross-sectional data. When estimating the causal effect of time-varying exposure on outcomes of interest measured later, standard methods cannot give consistent estimates if there are time-dependent confounders. g-computation provides new ideas for solving time-dependent confounding. This article describes and demonstrates a step-by-step approach, using g-computation to adjust time-dependent confounding, and marginal structural model (MSM) to estimate the causal effect of time-varying exposure, implemented through <tex>$\mathrm{R}$</tex> code. Meanwhile, this paper briefly outlines the relevant theoretical knowledge of the method, including g-computation and time-dependent confounding, and uses the generated simulation data to test the feasibility of the method and compare the performance of different methods.
作者机构：
[Cui, Jianqun; Chang, Yanan; Chang, YN; Chen, Huanhuan; Gong, Shuang; Chen, Ziyi] Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.;[Yang, Yi] NE Illinois Univ, Dept Comp Sci, Chicago, IL USA.
会议名称：
IEEE 28th International Conference on Parallel and Distributed Systems (IEEE ICPADS)
会议时间：
JAN 10-12, 2023
会议地点：
Nanjing, PEOPLES R CHINA
会议主办单位：
[Cui, Jianqun;Gong, Shuang;Chang, Yanan;Chen, Ziyi;Chen, Huanhuan] Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.^[Yang, Yi] NE Illinois Univ, Dept Comp Sci, Chicago, IL USA.
会议论文集名称：
International Conference on Parallel and Distributed Systems - Proceedings
摘要：
In delay-tolerant networks(DTN), the timeliness of the node's social circle and encounter time between nodes have a different effect in designing router algorithms. Considering these factors, this paper proposes an improved spray and wait algorithm based on the node social tree (TNST). Specifically, we will first combine the node's own attributes with social ability to calculate the node's delivery capability value. Followed by it, we build and update the social node tree with the delivery capability for each node. Finally, we will predict the encounter time between nodes, which based on their motion information. The node will select the encounter node as the relay node if the message's destination node is in the node social tree. Otherwise, the node whose social tree with higher propagation capacity will be selected as the relay node. Simulation results show that the TNST algorithm improves the delivery rate and reduces network overhead.
作者机构：
[Zhou, Jie; Liu, Xuan; Cui, Yilin; Xiong, Xuqian] Cent China Normal Univ, Sch Urban & Environm Sci, Wuhan, Peoples R China.;[Zhou, Jie] Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan, Peoples R China.
会议名称：
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
会议时间：
JUL 17-22, 2022
会议地点：
Kuala Lumpur, MALAYSIA
会议主办单位：
[Xiong, Xuqian;Zhou, Jie;Liu, Xuan;Cui, Yilin] Cent China Normal Univ, Sch Urban & Environm Sci, Wuhan, Peoples R China.^[Zhou, Jie] Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan, Peoples R China.
会议论文集名称：
IEEE International Symposium on Geoscience and Remote Sensing IGARSS
关键词：
Drought;dynamic surface water;DWI
摘要：
Surface water presence on the earth is highly variable, closely coupled to regional hydro-climatological conditions. Meanwhile, the rapid increase of earth observation-based global surface water datasets provides valuable opportunities for evaluating inter-annual or seasonal surface water dynamics. This study investigated the potential of using long-term EO-based surface water products for regional drought monitoring. In particular, the dynamic of surface water over the middle reach of the Yangtze River from 1999 to 2020 was analyzed based on the GLAD product. Furthermore, we explored the linkage between surface water anomalies (i.e., Dynamic Water Index, DWI) and Standardized Precipitation Index (measured by SPI). The preliminary results showed that: (1) DWI was significantly coupled to 12-month SPI, which confirmed that dynamic surface water extent can be used as an indicator for hydrological drought; (2) The correlation between DWI and SPI (1-month, 3-month, 6-month, 12-month) in extreme wet climate was lower than in extreme drought climate; (3) It is challengeable to distinguish the difference in coupling strength between dynamic surface water and hydrological drought caused by DWI defined with different water types (i.e., all types versus seasonal water). Much more attention should be paid to evaluating the uncertainty of the new index caused by missing values across regions.
作者机构：
[Wu, Haifang; Zhao, Weizhong; He, Tingting; Jiang, Xingpeng; Luo, Shujie] Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smar, Wuhan 430079, Hubei, Peoples R China.;[Wu, Haifang; Zhao, Weizhong; He, Tingting; Jiang, Xingpeng; Luo, Shujie] Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.;[Wu, Haifang; Zhao, Weizhong; He, Tingting; Jiang, Xingpeng; Luo, Shujie] Cent China Normal Univ, Natl Language Resources Monitoring & Res Ctr Netw, Wuhan 430079, Hubei, Peoples R China.;[Zhao, Weizhong] Guilin Univ Elect Technol, Guangxi Key Lab Trusted Software, Guilin 541004, Peoples R China.;[Zhao, Weizhong] Guangxi Normal Univ, Guangxi Key Lab Multisource Informat Min & Secur, Guilin 541004, Peoples R China.
会议名称：
26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
会议时间：
MAY 16-19, 2022
会议地点：
SW Jiaotong Univ, Chengdu, PEOPLES R CHINA
会议主办单位：
SW Jiaotong Univ
会议论文集名称：
Lecture Notes in Artificial Intelligence
关键词：
Protein interface prediction;Sequence information;Structure information;Hybrid attention mechanism
摘要：
Protein interface prediction is fundamental to understand the hidden principles of many living activities. Although many approaches to the task of protein interface prediction have been proposed, most of existing methods fail to make full use of the available sequence information and structure information. To address the challenge, we propose a deep learning-based end-to-end framework for protein interface prediction, in which a hybrid attention mechanism is utilized to take into account the semantic associations and complementary effect between both sequence and structure information. More specifically, a cross-modal attention is built to capture the semantic associations between sequence representations and structure representations for proteins. In addition, a type-level attention is introduced to model the different contributions of sequence and structure information for predicting protein interaction interface. Experimental results on three commonly used datasets demonstrate the effectiveness of the proposed method.
摘要：
Discussion, as an important part of online learning, has been widely used in teaching to support communication and information sharing among learners. However, there are some problems in online discussion, such as poor topic design, students' low discussion depth and enthusiasm. S-P table analysis was applied to online discussion analysis. Based on the 186 posting records of 35 students under 9 topics on Wolearn platform, the quality of the topics and the characteristics of students were analyzed from the aspects of full answer rate, warning coefficient, difference coefficient, stability coefficient and suitability coefficient. We found that the topic was stable and consistent with the instructional objectives and students' cognitive level. Most of the students' learning status was stable and they had a good understanding of the topic, but some students did not perform well. Finally, some suggestions for further research were proposed.
作者机构：
[Jin, Jing] Cent China Normal Univ, Coll Phys Sci & Technol, Wuhan, Peoples R China.;[Feng, Jingyi; Feng, Feng] Tianjin Univ, Sch Microelect, Tianjin, Peoples R China.
会议名称：
IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP)
会议时间：
NOV 27-29, 2022
会议地点：
S China Univ Technol, Guangzhou, PEOPLES R CHINA
会议主办单位：
S China Univ Technol
摘要：
Accurate high frequency microwave component design usually needs electromagnetic (EM)-based optimizations. In EM-based optimization process, repetitive EM simulations are usually required for different geometrical variables, which makes the optimization computationally expensive. Recently, cognitiondriven EM optimization methods have been presented to improve the ability of escaping the local minima and to accelerate the process of optimization. An overview of recent developments in cognition-driven EM optimization strategies for microwave filter design is given in this paper.
摘要：
Video games have become more prevalent in adolescents' lives to entertain. Previous studies suggest rural left-behind adolescents are vulnerable to being absorbed in video games. To characterize a causal relation between "left-behind" and the time of playing video games among rural adolescents, we used representative data from China Educational Panel Survey (CEPS) and Propensity Score Matching (PSM) method. The sample includes 1166 rural left-behind adolescents and 1156 rural non-left-behind adolescents. Results demonstrated significant differences in the individual and family characteristics of rural left-behind adolescents and rural non-left-behind adolescents; rural left-behind adolescents spend more time playing video games on weekends, not on weekdays. The findings have implications for parents and educators who should give adequate care and supervision to rural left-behind adolescents on weekends.
摘要：
In order to overcome the problems of smart Library in collecting resources, storing data and disseminating information, this paper proposes an intelligent value-added service platform of smart Library Based on blockchain technology. The smart value-added service platform makes full use of the advantages of blockchain technology, such as decentralization, non tampering, traceability and consensus mechanism, which makes the traditional way of resource acquisition and user communication fundamentally changed in time and space. The research results show that the smart value-added service platform can overcome the security problems of smart library in the aspects of resource collection, data storage and information dissemination, and improve the user experience.
作者机构：
[Yin, Jie; Dong, Tao; Liu, ZhiHui; Wang, ZhanWei; Zhang, TingTing] Beijing Inst Satellite Informat Engn, State Key Lab Space Ground Integrated Informat Te, Beijing 100095, Peoples R China.;[Yang, LinTao] Cent China Normal Univ, Coll Phys Sci & Technol, Wuhan 430079, Peoples R China.
会议名称：
6th International Conference on Smart Computing and Communication (SmartCom)
会议时间：
DEC 29-31, 2021
会议地点：
ELECTR NETWORK
会议主办单位：
[Zhang, TingTing;Dong, Tao;Yin, Jie;Liu, ZhiHui;Wang, ZhanWei] Beijing Inst Satellite Informat Engn, State Key Lab Space Ground Integrated Informat Te, Beijing 100095, Peoples R China.^[Yang, LinTao] Cent China Normal Univ, Coll Phys Sci & Technol, Wuhan 430079, Peoples R China.
会议论文集名称：
Lecture Notes in Computer Science
关键词：
LEO satellite network;Inter-satellite handover;Multi-attribute decision
摘要：
Due to the characteristics of low orbital height and large number of satellites, the giant Low Earth Orbit (LEO) satellite network has more frequent handovers than ordinary LEO satellite communication systems. There are a large number of satellites available for handover, and the handover problem is more prominent. In this study, a handover strategy suitable for all users is designed for the inter-satellite handover in the giant LEO satellite network. This strategy designs two different handover methods for different handover users and new callers. For users who can predict the handover time, a multi-attribute decision handover strategy based on a directed graph is adopted. It uses the satellite service timetable (including satellite coverage at each time and each index value) to construct a satellite handover directed graph, and combine the handover path to reserve channel resources for users. For handover users and new callers who cannot predict the handover time, a multi-attribute decision handover strategy based on combined weights is adopted. The best candidate satellites are obtained by weighting each index combination, distinguishing user types and service types, and using channel queuing strategies to access satellites according to different priorities. The simulation results prove that this strategy can reduce the number of handovers while taking into account the signal strength and system load balance, and can effectively reduce the handover blocking rate.
作者机构：
[Cui, Jianqun; Chang, Yanan; Chen, Huanhuan; Gong, Shuang; Chen, Ziyi] Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.;[Yi, Yang] NE Illinois Univ, Dept Comp Sci, Chicago, IL USA.
会议名称：
19th IEEE International Conference on Mobile Ad Hoc and Smart Systems (MASS)
会议时间：
OCT 20-22, 2022
会议地点：
Denver, CO
会议主办单位：
[Cui, Jianqun;Chen, Huanhuan;Chang, Yanan;Chen, Ziyi;Gong, Shuang] Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.^[Yi, Yang] NE Illinois Univ, Dept Comp Sci, Chicago, IL USA.
关键词：
Tolerant network;social circle nodes;social transmission value;non-social transmission value;message copies
摘要：
In delay tolerant networks(DTN), non-social attributes and social attributes relating to nodes have a different effect in designing router algorithms, we can combine these two different attributes to design algorithms. In our paper, we put forward an improved spray-and-wait routing algorithm (NSSAWRouter) based on social relationship between nodes in DTN, which mainly selects relay nodes by adopting two different transmission values and assigns message copies between two nodes dynamically in the spray stage. Specifically, we will first build social circle nodes for each node and record the dynamic social relationship between a node and its social circle nodes. Followed by it, we introduce a concept called social transmission value, which is used to estimate the likelihood of a node comprehensively transmitting a message to the special node that message should be delivered to when the social circle nodes of the node contain the special node. Similarly, we use non-social transmission value to select relay nodes when the two encountered nodes' social circle nodes both do not contain the special node, which consists of node activity and delivery predictability. Finally, we use the proportion of two nodes' non-social transmission value or social transmission value to assign message copies, making nodes that have greater ability to send messages to the special node carry more message copies. The results of the simulation experiment illustrate that the algorithm proposed can increase the delivery rate and keep a relatively lower overload in comparison with DirectDelivery, Epidemic, Prophet, Spray and Wait, MASSRouter.
摘要：
This paper presents the design and the test results of a 14 Gbps VCSEL driving ASIC with a novel output driver structure fabricated in a 55 nm CMOS process. It consists of an equalizer stage, a limiting amplifier stage and an output driver stage. The equalizer stage uses the CTLE structure to compensate the high frequency losses at the PCB traces, bonding wires and input pads. To meet both the gain/bandwidth requirements and the area restriction, the limiting amplifier stage adopts the inductor-shared peaking technology. To increase the voltage headroom of the output driver stage and improve the bandwidth, a novel output driver structure using the on-chip AC coupling, the stacked current source and the double feedforward compensation technique is proposed. This ASIC has been integrated with the VCSEL array in a customized optical module for the optical test. The test results show the wide-open 14 Gbps optical eye diagram with a measured RMS jitter of 2.7 ps and a peak-to-peak jitter of 17.4 ps, respectively.
作者机构：
[Zhu, Runjie] York Univ, Informat Retrieval & Knowledge Management Res Lab, Toronto, ON, Canada.;[Xie, Zhiwen] Wuhan Univ, Sch Comp Sci, Wuhan, Peoples R China.;[Zhou, Guangyou] Cent China Normal Univ, Sch Comp Sci, Wuhan, Peoples R China.
会议名称：
IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
会议时间：
NOV 17-20, 2022
会议地点：
ELECTR NETWORK
会议主办单位：
[Zhu, Runjie] York Univ, Informat Retrieval & Knowledge Management Res Lab, Toronto, ON, Canada.^[Xie, Zhiwen] Wuhan Univ, Sch Comp Sci, Wuhan, Peoples R China.^[Zhou, Guangyou] Cent China Normal Univ, Sch Comp Sci, Wuhan, Peoples R China.
关键词：
Bioinformation;COVID-19;Natural Language Processing;Node Classification;Text Mining
摘要：
Recent studies in machine learning have demonstrated the effectiveness of applying graph neural networks (GNNs) to single-cell RNA sequencing (scRNA-seq) data to predict COVID-19 disease states. In this study, we propose a graph attention capsule network (GACapNet) which extracts and fuses Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) transcriptomic patterns to improve node classification performance on cells and genes. Significantly different from the existing GNN approaches, we innovatively incorporate a capsule layer with dynamic routing into our model architecture to combine and fuse gene features effectively and to allow those more prominent gene features present in the output. We evaluate our GACapNet model on two scRNA-seq datasets, and the experimental results show that our GACapNet model significantly outperforms state-of-the-art baseline models. Therefore, our study demonstrates the capability of advanced machine learning models to generate predictive features and evolutionary patterns of the SARS-CoV-2 pathogen, and the applicability of closing knowledge gaps in the pathogenesis and recovery of COVID-19.
作者机构：
[Qian, Li; Li, Wenhao] Cent China Normal Univ, Fac Artificial Intelligence Educ, Wuhan, Hubei, Peoples R China.
会议名称：
10th International Conference on Information and Education Technology (ICIET)
会议时间：
APR 09-11, 2022
会议地点：
Matsue, JAPAN
会议主办单位：
[Qian, Li;Li, Wenhao] Cent China Normal Univ, Fac Artificial Intelligence Educ, Wuhan, Hubei, Peoples R China.
关键词：
panoramic video education;research status;social network analysis;co-word analysis
摘要：
Panoramic video, as an emerging media presentation technology with low cost and low technical requirements, has the potential of wide application. However, the current empirical studies on the application of panoramic video in education are relatively scattered, lacking systematic analysis of literature in this field, and it is difficult to understand the research focus and trend. Therefore, this study used EBSCO, Web of Science, Elsevier Science Direct Online and Springer database as data sources. A total of 58 high-quality English empirical research articles published between 2011 and 2021 on panoramic video in education were selected as the research samples to conduct coword analysis and social network analysis for keywords. The results show that the research emphases and trends of the application of panoramic video in education mainly focus on the development and application of panoramic video based on virtual reality, panoramic video technology and the optimization of learner experience. Finally, some suggestions for future research are proposed.
