期刊：
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,2022年26(6):2435-2446 ISSN：2168-2194
通讯作者：
Xiong, N.
作者机构：
[Xiong, N.] National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China;Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China;Department of Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, China;[Sun, Le; Zhong, Zhaoyi; Qu, Zhiguo] Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China<&wdkj&>Department of Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, China
通讯机构：
[Xiong, N.] C;Central China Normal University, National Engineering Research Center for E-Learning, Wuhan, China
作者机构：
[Pi, Zhongling; Hu, Weiping] Shaanxi Normal Univ, Key Lab Modern Teaching Technol, Ctr Teacher Profess Abil Dev, Minist Educ, Xian, Shaanxi, Peoples R China;[Yang, Jiumin] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Hubei, Peoples R China;[Yang, Jiumin] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China;[Hu, Weiping] Beijing Normal Univ, Collaborat Innovat Ctr Assessment Basic Educ Qual, Beijing, Peoples R China;[Hong, Jianzhong] Cent China Normal Univ, Key Lab Adolescent Cyberpsychol & Behav, Sch Psychol, Minist Educ, Wuhan, Hubei, Peoples R China
通讯机构：
[Hu, Weiping] S;[Hu, Weiping] B;[Hong, Jianzhong] C;Shaanxi Normal Univ, Key Lab Modern Teaching Technol, Ctr Teacher Profess Abil Dev, Minist Educ, Xian, Shaanxi, Peoples R China. Beijing Normal Univ, Collaborat Innovat Ctr Assessment Basic Educ Qual, Beijing, Peoples R China. Cent China Normal Univ, Key Lab Adolescent Cyberpsychol & Behav, Sch Psychol, Minist Educ, Wuhan, Hubei, Peoples R China.
关键词：
Creativity;electronic brainstorming;openness;attention to peers' ideas;eye tracking
摘要：
An emerging body of research has focused on students’ creativity in group contexts, with the assumption that students could be inspired by peers’ ideas. Although students’ openness and attention to peers’ ideas are claimed to play important roles in their creativity in group settings, there is little empirical research that tests this assumption. This study examined the moderating effect of attention to peers’ ideas in the relation between openness and creativity in electronic brainstorming. Participants were 91 undergraduate students who took about 10 min to complete a creative idea generation task during electronic brainstorming. Regression analyses found that students who were characterized by high openness were more creative, but only when they showed more attention to peers’ ideas. This suggests that electronic brainstorming can be useful for enhancing the creativity of some students.
摘要：
Event cameras asynchronously capture pixel-level intensity changes in scenes and output a stream of events. Compared with traditional frame-based cameras, they can offer competitive imaging characteristics: low latency, high dynamic range, and low power consumption. It means that event cameras are ideal for vision tasks in dynamic scenarios, such as human action recognition. The best-performing event-based algorithms convert events into frame-based representations and feed them into existing learning models. However, generating informative frames for long-duration event streams is still a challenge since event cameras work asynchronously without a fixed frame rate. In this work, we propose a novel frame-based representation named Compact Event Image (CEI) for action recognition. This representation is generated by a self-attention based module named Event Tubelet Compressor (EVTC) in a learnable way. The EVTC module adaptively summarizes the long-term dynamics and temporal patterns of events into a CEI frame set. We can combine EVTC with conventional video backbones for end-to-end event-based action recognition. We evaluate our approach on three benchmark datasets, and experimental results show it outperforms state-of-the-art methods by a large margin.
期刊：
Water Supply,2022年22(7):6213–6229. ISSN：1606-9749
通讯作者：
Zhe Wang
作者机构：
[Li, Jingjing] Huazhong Agr Univ, Coll Life Sci & Technol, Wuhan 430070, Peoples R China.;[Chen, Yingshu; Li, Jingjing] Hubei Inst Water Resources Survey & Design, Wuhan 430070, Peoples R China.;[Wang, Zhe] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.;[Wang, Zhe] Wuhan Univ Sci & Technol, Wuhan 430065, Peoples R China.
通讯机构：
[Zhe Wang] N;National Engineering Research Center for E-Learning, Central China Normal University, Wuhan 430079, China Wuhan University of Science and Technology, Wuhan 430065, China
关键词：
hydrodynamic and water quality model;rural lakes;shallow hill water network area;water quality
摘要：
There is poor water environment quality in rural lakes in the shallow hill water network area north of the Han River on the Chinese Jianghan Plain due to their poor hydrodynamic conditions. We herein selected ten typical rural lakes to simulate water environment improvement. The hydrodynamic and water quality models were built based on MIKE21, while the simulation compared the year-round trends in lake water quality in the current and planning year, and demonstrated the possibility of recharging rural lakes from the backbone of the Han River–Three Inland Rivers networks. The results show that the water quality of the ten lakes has improved significantly after pollution control, with an improvement rate of more than 70%. Pollution interception and management are particularly successful for improving lake water quality in rural lakes. The replenishment of water from the backbone river to the lakes could enhance the fluidity of the rural lakes but cannot eliminate the total phosphorus (TP) risk. Therefore, in the relatively closed water bodies of rural lakes in the shallow hilly water network area, pollution intercept and control is key to controlling TP, and taking measures such as increasing lake hydrodynamic conditions in summer will be a more efficient approach to improve rural lake water quality.
作者机构：
[Zhang, Wei] Central China Normal University, National Engineering Research Center for E-Learning, China;[Qu, Kaiyuan; Han, Yahui; Tan, Longan] Central China Normal University, China
会议名称：
6th International Conference on Innovation in Artificial Intelligence, ICIAI 2022
作者机构：
[Liu, Lili; Zhang, Kun; Luo, Meijuan; Zhang, Yajing; Chen, Jingying; Chen, Qian] Cent China Normal Univ, Fac Artificial Intelligence Educ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.;[Liu, Lili; Zhang, Kun; Luo, Meijuan; Zhang, Yajing; Chen, Jingying; Chen, Qian] Cent China Normal Univ, Fac Artificial Intelligence Educ, Natl Engn Res Ctr Educ Big Data, Wuhan 430079, Peoples R China.;[Zeng, Xiao] Cent China Normal Univ, Cent China Normal Univ Wollongong Joint Inst, Wuhan 430079, Peoples R China.;[Wang, Guangshuai] Wuhan Univ, Sch Comp Sci, Wuhan 430072, Peoples R China.
通讯机构：
[Kun Zhang] N;National Engineering Research Center of Educational Big Data, Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China<&wdkj&>National Engineering Research Center for E-Learning, Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China<&wdkj&>Author to whom correspondence should be addressed.
摘要：
Some previous studies indicate that impaired social attention mainly results in social disorders in autistic children. In the social attention mode of autistic children, social orientation and joint attention are particularly important. The influence of different social intensity and ecological validity on them are worthy of further study. This study used realistic paintings with moderate ecological validity as experimental materials, to design isolated individual scene and social interaction scene, and to explore the impact of social interaction on the social orientation of autistic children. It found that in the scenes without social interaction, the attention patterns of autistic children and typical developing children were the same, while the attention patterns of autistic children were abnormal in the scenes with social interaction. From the eye tracking data, it was shown that the gaze processing process of autistic children was not as smooth as that of typical developing children. Compared with cartoons and other social scenes with low ecological validity, realistic painting could better restore the proportion of real scenes. Moreover, it could reduce the complexity of information which could not be done in real scenes. The findings of this study provide support for training and education of autistic children. Intervention with realistic paintings is conducive to the migration of autistic children.
作者机构：
[Dai, Zhicheng; Xiong, Junxia] Cent China Normal Univ, Natl Engn Res Ctr Learning, Wuhan, Peoples R China.;[He, Xiuling; Zhao, Liang] Cent China Normal Univ, Natl Engn Lab Educ Big Data, Wuhan, Peoples R China.
通讯机构：
[Liang Zhao] N;National Engineering Laboratory for Educational Big Data, Central China Normal University, Wuhan, People’s Republic of China
关键词：
ICT;teaching mode;activity theory;interaction and satisfaction;engineering course
摘要：
Activity theory is of great importance in emphasizing the role of community and intermediary tools in the subject's internalization activities. From the perspective of activity theory, via systematically and comprehensively exploring kinds of different interactions between various elements (e.g. subject, community and tools) in classroom teaching, this study constructed a framework based on ICT-enhanced activity system, and proposed a teaching mode using the constructed framework. To verify its effectiveness in improving classroom interaction and satisfaction, the proposed teaching mode is applied to an engineering course. The experimental results showed that the proposed teaching mode can not only effectively combine theoretical learning with practical application, but also raise students' classroom interaction and satisfaction through rich teaching activities (including such as competitive answering, topic discussion and achievement sharing, etc.). As demonstrated in our experiment, compared with the traditional teaching modes, (i) 83.8% of the participants were more satisfied with the proposed mode, and 70.3% of them preferred that this mode could be maintained in the future teaching; (ii) better instructional design of engineering courses with the accompanying more satisfactions can be gained using the proposed teaching mode. Theoretical and practical contributions to the integration of ICT with engineering courses are offered.
作者：
Du, Xu;Zhang, Lizhao;Hung, Jui-Long;Li, Hao;Tang, Hengtao;...
期刊：
Journal of Computing in Higher Education,2022年:1-28 ISSN：1042-1726
通讯作者：
Jui-Long Hung
作者机构：
[Dai, Miao; Li, Hao; Du, Xu] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.;[Hung, Jui-Long; Zhang, Lizhao] Cent China Normal Univ, Natl Engn Lab Educ Big Data, Wuhan 430079, Peoples R China.;[Hung, Jui-Long] Boise State Univ, Dept Educ Technol, 1910 Univ Dr, Boise, ID 83725 USA.;[Tang, Hengtao] Univ South Carolina, Dept Educ Studies, Charleston, SC USA.
通讯机构：
[Jui-Long Hung] N;National Engineering Laboratory for Educational Big Data, Central China Normal University, Wuhan, China<&wdkj&>Department of Educational Technology, Boise State University, Boise, USA
摘要：
This study aims to track college students’ on-task rate during the teaching process and to analyze the influence of instructional strategies on on-task rate through the aspects of observable and internal engagement indicators. Thirty-six undergraduate students at a higher education institution in China participated in the study. Students’ behaviors and their EEG signals were recorded from fifty-one learning activities. Analyses have been focused on identifying the determinants of student’s engagement levels and revealing the impacts of behavioral sequences and cognitive sequences on student’s engagement levels. The results show that (1) instructional strategies, classroom behaviors, and cognitive states were significant predictors of students’ on-task rate; (2) the continuity of classroom behaviors improved the on-task rate; and (3) the standard deviations of attention and cognitive load were positively correlated with the on-task rate. This study describes a case of integrating multimodal data analysis in classroom teaching and discusses practical implications for improving classroom teaching.
作者机构：
[Zhang, Kui; Dai, Zhicheng; Wang, Chunran; Chen, Rongjin; Zhu, Fuming] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, 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：
[Dai, Zhicheng;Zhang, Kui;Wang, Chunran;Chen, Rongjin;Zhu, Fuming] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.
摘要：
It is an important issue to effectively perceive learners' emotional state in the field of smart education, which helps to enhance the interaction between teaching groups and stimulate learners' enthusiasm for learning. Taking "emotion perception" as the theme, this paper retrieved 533 relevant core literature from the CNKI (China National Knowledge Infrastructure) database and used econometric methods and visualization software CiteSpace to analyze the number of literature, authors, institutions, and keywords. The results show that the number of literature published on learners' emotion perception has increased year by year in the past 30 years and is in the mature stage of development; The authors and institutions are relatively scattered, and the core research system of emotion perception has not been formed. Building a multimodal perception model using techniques such as expression recognition, posture recognition, and physiological parameter detection is research hotspots in the field of emotion perception. The research trends in this field are to collect and fuse multimodal emotional data, and deeply analyze the change rule of learners' emotions based on deep learning and data mining.
期刊：
Education and Information Technologies,2022年27(9):12027-12047 ISSN：1360-2357
通讯作者：
Jingying Chen
作者机构：
[Liu, Xiaodi; Zhang, Kun; Wang, Xuan; Chen, Jingying; Zhang, Rujing] Cent China Normal Univ, Fac Artificial Intelligence Educ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.;[Wang, Guangshuai] Wuhan Univ, Sch Comp Sci, Wuhan 430079, Peoples R China.;[Zhang, Rujing] Liaocheng Univ, Sch Media & Technol, Liaocheng 252059, Shandong, Peoples R China.
通讯机构：
[Jingying Chen] F;Faculty of Artificial Intelligence in Education, National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, People’s Republic of China
关键词：
Autism;Evaluation;Games for evaluation;Human–computer interaction;PEP-3
作者：
Zhang, Zhaoli;Li, Zhifei;Liu, Hai;Xiong, Neal N.
期刊：
IEEE Transactions on Knowledge and Data Engineering,2022年34(5):2335-2347 ISSN：1041-4347
通讯作者：
Li, ZF
作者机构：
[Li, Zhifei; Zhang, Zhaoli; Liu, Hai] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.;[Xiong, Neal N.] Cent China Normal Univ, Natl Engn Lab Educ Big Data, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Li, ZF ] C;Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
作者机构：
[Peng, Shixin; Chen, Jingying] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Natl Engn Lab Educ Big Data, Wuhan 430079, Peoples R China.;[Chen, Xiaohui] State Grid Hunan Elect Power Co Ltd, Informat & Commun Branch, Changsha 410004, Peoples R China.;[Lu, Wei] Air Force Early Warning Acad, Wuhan 430019, Peoples R China.;[Deng, Chao] Huazhong Univ Sci & Technol, Sch Elect Informat & Commun, Wuhan 430074, Peoples R China.
通讯机构：
[Chen, JY ] C;Cent China Normal Univ, Natl Engn Res Ctr E Learning, Natl Engn Lab Educ Big Data, Wuhan 430079, Peoples R China.
关键词：
Interference alignment;Limited feedback;MIMO;Precoding matrix;Smart grid;Spatial multiplexing gain
作者机构：
[Hu, Weiping; Pi, Zhongling] Shaanxi Normal Univ, Ctr Teacher Profess Abil Dev, MOE Key Lab Modern Teaching Technol, Xian 710062, Peoples R China.;[Yang, Jiumin; Chen, Minnan] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Peoples R China.;[Yang, Jiumin; Zhu, Fangfang] Cent China Normal Univ, Natl Engn Res Ctr & Elearning, Wuhan, Peoples R China.;[Hu, Weiping] Beijing Normal Univ, Collaborat Innovat Ctr Assessment Basic Educ Qual, Beijing, Peoples R China.;[Yang, Jiumin] Cent China Normal Univ, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Yang, Jiumin] C;[Hu, Weiping] S;Shaanxi Normal Univ, Ctr Teacher Profess Abil Dev, MOE Key Lab Modern Teaching Technol, Xian 710062, Peoples R China.;Cent China Normal Univ, Wuhan 430079, Hubei, Peoples R China.
关键词：
Video lectures;eye gaze;facial expression;eye tracking technology;e-learning
期刊：
Journal of Educational Computing Research,2022年60(6):1514-1557 ISSN：0735-6331
作者机构：
[Liu, Sannyuya; Kong, Xi; Liu, Zhi; Ren, Yupei] Cent China Normal Univ, Natl Engn Lab Educ Big Data, 152 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.;[Liu, Sannyuya] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
摘要：
Wearable devices are an emerging technological tool in the field of learning analytics. With the help of wearable technologies, an increasing number of scholars have a strong interest in studying the associations between student data and learning outcomes in different learning environments. This systematic review examines 120 articles published between 2011 and 2021, exploring current research on learning analytics based on wearable devices in detail from both descriptive and content analysis. The descriptive analysis reviewed the included literature in five dimensions: publication times of the reviewed literature, wearable devices and data types used in studies, stakeholders, objectives, and methods involved in the analysis procedure. The content analysis aims to examine the literature covered in terms of three categorical domains of educational objectives: cognitive, affective, and behavioral, to investigate the practical applications and potential issues of learning analytics based on wearable devices. After that, based on the overall research content of the reviewed literature, a framework for learning analytics based on wearable devices is present, and its application process is summarized and analyzed for the reference of related researchers. At last, we summarize the limitations of existing studies and present several recommendations to further promote research and development in this field.
