High School Statistical Graph Classification Using Hierarchical Model for Intelligent Mathematics Problem Solving
作者：
Wei, Yantao* ;Shi, Yafei;Yao, Huang;Zhao, Gang;Liu, Qingtang
期刊：
Lecture Notes in Computer Science ,2018年10799:91-101 ISSN：0302-9743
通讯作者：
Wei, Yantao
作者机构：
[Yao, Huang; Wei, Yantao; Shi, Yafei; Liu, Qingtang; Zhao, Gang] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Peoples R China.
通讯机构：
[Wei, Yantao] C;Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Peoples R China.
会议名称：
8th Pacific-Rim Symposium on Image and Video Technology (PSIVT)
会议时间：
NOV 20-24, 2017
会议地点：
Wuhan, PEOPLES R CHINA
会议主办单位：
[Wei, Yantao;Shi, Yafei;Yao, Huang;Zhao, Gang;Liu, Qingtang] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Peoples R China.
会议论文集名称：
Lecture Notes in Computer Science
关键词：
Intelligent mathematics problem solving;Hierarchical model;Statistical graph classification;Kernel extreme learning machine
摘要：
High school statistical graph classification is one of the key steps in intelligent mathematics problem solving system. In this paper, a hierarchial classification method is proposed for high school statistical graph classification. Firstly, the dense Scale-invariant Feature Transform (SIFT) features of the input images are extracted. Secondly, the sparse coding of the SIFT features are obtained. Thirdly, these sparse features are pooled in multiscale. Finally, these pooled features are concatenated and then fed into single-hidden layer feedforward neural network for classification. The effectiveness of the proposed method is demonstrated on the constructed dataset, which contains 400 statistical graphs. In contrast to several state-of-the-art methods, the proposed method achieves better performance in terms of classification accuracy, especially when the size of the training samples is small.
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英文
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基于自回归模型的动态表情识别
作者：
苏志铭;陈靓影
期刊：
计算机辅助设计与图形学学报 ,2017年29(6):1085-1092 ISSN：1003-9775
通讯作者：
Chen, Jingying(chenjy@mail.ccnu.edu.cn)
作者机构：
[陈靓影; 苏志铭] National Engineering Research Centre for E-Learning, Central China Normal University, Wuhan, 430079, China;[陈靓影] Collaborative &, Innovative Centre for Educational Technology (CICET), Central China Normal University, Wuhan, 430079, China
通讯机构：
National Engineering Research Centre for E-Learning, Central China Normal University, Wuhan, China
关键词：
动态表情识别;几何特征;纹理特征;二阶自回归模型
摘要：
采用几何信息和纹理信息融合的混合特征,基于自回归(AR)模型,提出一种基于线段的相似度判决方法实现动态表情识别.首先在6种基本表情的图像序列训练集上进行训练得到6种AR模型,然后给定测试表情序列,对每一个测试序列通过6种AR模型生成6种预测序列,接着比较每种预测序列与实际给定序列的相似性,最终根据相似性判断所给序列的表情类别.为了更好地比较预测序列与给定序列的相似性,提出了一种基于线段的相似度判决方法.基于Cohn-Kanade+人脸表情库进行实验结果表明,该方法在动态表情识别上取得了良好的效果.
语种：
中文
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Main content extraction from web pages based on node characteristics
作者：
Liu, Qingtang;Shao, Mingbo;Wu, Linjing;Zhao, Gang;Fan, Guilin;...
期刊：
Journal of Computing Science and Engineering ,2017年11(2):39-48 ISSN：1976-4677
通讯作者：
Liu, Qingtang(liuqtang@mail.ccnu.edu.cn)
作者机构：
[Fan, Guilin; Shao, Mingbo; Zhao, Gang; Liu, Qingtang; Wu, Linjing] School of Educational Information Technology, Central China Normal University, Wuhan, China;[Li, Jun] School of Information Engineering, Hubei University for Nationalities, Enshi, China
通讯机构：
School of Educational Information Technology, Central China Normal University, Wuhan, China
关键词：
Content extraction;Hyperlink density;Text density;Web page
摘要：
Main content extraction of web pages is widely used in search engines, web content aggregation and mobile Internet browsing. However, a mass of irrelevant information such as advertisement, irrelevant navigation and trash information is included in web pages. Such irrelevant information reduces the efficiency of web content processing in content-based applications. The purpose of this paper is to propose an automatic main content extraction method of web pages. In this method, we use two indicators to describe characteristics of web pages: Text density and hyperlink density. According to continuous distribution of similar content on a page, we use an estimation algorithm to judge if a node is a content node or a noisy node based on characteristics of the node and neighboring nodes. This algorithm enables us to filter advertisement nodes and irrelevant navigation. Experimental results on 10 news websites revealed that our algorithm could achieve a 96.34% average acceptable rate. ©2017 The Korean Institute of Information Scientists and Engineers.
语种：
英文
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Analysis on the effect of knowledge sharing in network learning space - A case study of teachers’workshop
作者：
Liu, Qingtang;Wang, Hong* ;Zhang, Si
期刊：
Lecture Notes in Computer Science ,2017年 10309:225-235 ISSN：0302-9743
通讯作者：
Wang, Hong
作者机构：
[Wang, Hong; Liu, Qingtang] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Hubei, Peoples R China.;[Zhang, Si] Hunan First Teachers Coll, Coll Informat Sci & Engn, Changsha 410205, Hunan, Peoples R China.
通讯机构：
[Wang, Hong] C;Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Hubei, Peoples R China.
会议名称：
10th International Conference on Blended Learning (ICBL)
会议时间：
JUN 27-29, 2017
会议地点：
City Univ Hong Kong, Hong Kong, HONG KONG
会议主办单位：
City Univ Hong Kong
会议论文集名称：
Lecture Notes in Computer Science
关键词：
Network learning space;Knowledge sharing;Social interaction
摘要：
During the period of 13th five-year plan, the guideline for education informatization emphasizes on construction of network learning space to promote the reform of learning and teaching methods. The construction of network learning space can provide teachers with a platform for training and learning. And all teachers’activities can be completed on this platform. Recently, contents about knowledge sharing of teachers have drew attention of researchers. To best understand the effect of knowledge sharing on network learning space, this paper chooses a typical example teacher workshop as research object. Based on statistical analysis, content analysis and social statistical analysis, this paper performs research on quantity, content and features of social interaction of knowledge sharing. The results show that: (1) Teachers are generally very active on network learning space;(2) Teachers’posts are closely related to topics;(3) Teachers have built strong connections with each other;(4) Communications often involve more than 2 people. Therefore, this result can be a reference to other related research works. ©Springer International Publishing AG 2017.
语种：
英文
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基于卷积神经网络的图书页面检索方法
作者：
刘乐元;赵毅;陈靓影
期刊：
华中科技大学学报(自然科学版) ,2017年45(11):22-28,67 ISSN：1671-4512
作者机构：
华中师范大学, 国家数字化学习工程技术研究中心;[刘乐元; 陈靓影] 教育信息技术协同创新中心, 湖北, 武汉, 430079;华中师范大学, 国家数字化学习工程技术研究中心, 湖北, 武汉, 430079;[刘乐元; 陈靓影] 华中师范大学, 国家数字化学习工程技术研究中心;[赵毅] 华中师范大学, 国家数字化学习工程技术研究中心, 湖北, 武汉, 430079
关键词：
图书页面检索;卷积神经网络;图像分割;图像校正;图像检索
摘要：
针对现有图书页面检索方法检索精度低的问题,利用任务无关数据集训练卷积神经网络,提出了一种基于卷积神经网络的图书页面检索方法.首先将待检图书页面图像进行图像分割和畸变校正,降低背景的干扰和几何畸变的影响;然后将校正后的图像输入卷积神经网络提取图像特征;最后使用夹角余弦距离来度量待检图像和候选图像的相似度.实验结果表明:本方法在测试数据集上的Top-5命中率为97.31%,而直接使用任务无关数据集训练的卷积神经网络的Top-5命中率仅为58.47%.本方法避免了耗费大量的时间和精力去收集大规模图书页面图像数据库,而且利用卷积神经网络强大的图像特征描述能力,取得了优异的图书页面检索精度.
语种：
中文
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Effects of the instructor's pointing gestures on learning performance in video lectures
作者：
Pi, Zhongling;Hong, Jianzhong;Yang, Jiumin
* （ 期刊：
British Journal of Educational Technology ,2017年48(4):1020-1029 ISSN：0007-1013
作者机构：
[Pi, Zhongling; Hong, Jianzhong] CCNU, Sch Psychol, Wuhan, Peoples R China.;[Yang, Jiumin] CCNU, Sch Educ Informat Technol, Luoyu Rd 152, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Yang, Jiumin] C;CCNU, Sch Educ Informat Technol, Luoyu Rd 152, Wuhan 430079, Hubei, Peoples R China.
摘要：
Recent research on video lectures has indicated that the instructor's pointing gestures facilitate learning performance. This study examined whether the instructor's pointing gestures were superior to nonhuman cues in enhancing video lectures learning, and second, if there was a positive effect, what the underlying mechanisms of the effect might be. There were three kinds of video lectures in the study: one with the instructor's pointing gestures, one with nonhuman cues, and one without any cues. Eighty-four Chinese undergraduates were randomly assigned to view one of the three video lectures in a laboratory. As hypothesized, the results of analyses of variance showed that the instructor's pointing gestures improved learning performance more than the nonhuman cues and no-cues conditions. The pointing gestures directed the learners’ visual attention to the relevant learning content of PowerPoint (PPT) slides in the video lecture. This suggests that the instructor's pointing gestures can be a valuable means to improve learning performance in video lectures, in particular PPT slides with much learning information. © 2016 British Educational Research Association
语种：
英文
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Learning Experience Questionnaire for Multimedia Case-Based Instruction: Development, Validation and Implications for Design
作者：
Yang, Tingting;Luo, Heng*
期刊：
Lecture Notes in Computer Science ,2017年 10309:400-411 ISSN：0302-9743
通讯作者：
Luo, Heng
作者机构：
[Luo, Heng; Yang, Tingting] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Luo, Heng] C;Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Hubei, Peoples R China.
会议名称：
10th International Conference on Blended Learning (ICBL)
会议时间：
JUN 27-29, 2017
会议地点：
City Univ Hong Kong, Hong Kong, HONG KONG
会议主办单位：
City Univ Hong Kong
会议论文集名称：
Lecture Notes in Computer Science
关键词：
Multimedia case-based instruction;Questionnaire development;Reliability;Validity;Instructional design
摘要：
To explore the key constructs of multimedia case-based instruction (MCBI), this study developed and validated a questionnaire to examine learners’learning experience with MCBI with tests for reliability and validity. Based on the literature review, the questionnaire was initially designed with 39 questions and was administered to 86 graduate students taking an instructional design course. Item analysis and exploratory factor analysis were conducted sequentially with the questionnaire data, and the statistical results informed the deletion of 13 problematic questions from the overall scale. The revised questionnaire yielded a strong internal reliability, and can be further reduced into four distinct factors measuring MCBI’s contextuality, effects, design features and explorative nature respectively. The study results are expected to enhance people’s understanding of MCBI and provide implications for the design, development and delivery of multimedia cases for instruction. ©Springer International Publishing AG 2017.
语种：
英文
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Interactive networks and social knowledge construction behavioral patterns in primary school teachers' online collaborative learning activities
作者：
Zhang, Si* ;Liu, Qingtang* ;Chen, Wenli;Wang, Qiyun;Huang, Zhifang
期刊：
Computers & Education ,2017年104:1-17 ISSN：0360-1315
通讯作者：
Zhang, Si;Liu, Qingtang
作者机构：
[Huang, Zhifang; Liu, Qingtang; Zhang, Si] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Peoples R China.;[Zhang, Si] Hunan First Normal Univ, Sch Informat Sci & Engn, Changsha 410205, Hunan, Peoples R China.;[Wang, Qiyun; Chen, Wenli] Nanyang Technol Univ, Natl Inst Educ, 1 Nanyang Walk, Singapore, Singapore.
通讯机构：
[Zhang, S; Liu, QT] C;Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Peoples R China.
关键词：
Computer-mediated communication;Cooperative/collaborative learning;Learning communities;Teaching/learning strategies
摘要：
A four-stage online collaborative learning approach to supporting teachers' professional development was proposed and described in this paper. This study investigated primary school teachers' interactive networks and social knowledge construction behavioral patterns in online collaborative learning activities. The subject of this study was 83 primary school Chinese teachers who were participating in a structured online professional development program that was 6 months in duration. By combining social network analysis, content analysis and lag sequential analysis, results showed that interactive networks generated in two rounds of online collaborative learning activities were low reciprocal, and loosely connected with a low cohesiveness. There was no significant difference of behavior distributions between core and peripheral members. Moreover, teachers' social knowledge construction behavioral patterns presented different characteristics in different rounds of activities. In addition, this study identified certain problems in teachers' online learning. Finally, some implications for the design of teacher education programs, limitations and further research plans are proposed. © 2016 Elsevier Ltd
语种：
英文
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Deep convolutional neural network for drowsy student state detection
作者：
Zhao, Gang* ;Liu, Shan;Wang, Qi;Hu, Tao;Chen, Yawen;...
期刊：
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE ,2017年30(23):e4457- ISSN：1532-0626
通讯作者：
Zhao, Gang
作者机构：
[Chen, Yawen; Wang, Qi; Liu, Shan; Zhao, Gang] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Hubei, Peoples R China.;[Hu, Tao] Hubei Univ Nationalities, Sch Informat Engn, Enshi 445000, Peoples R China.;[Lin, Luyu] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.;[Zhao, Dasheng] Wuhan Maritime Commun Res Inst, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Zhao, Gang] C;Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Hubei, Peoples R China.
关键词：
convolutional neural network;deep learning;eye state classification;face detection;student drowsiness
摘要：
Drowsy student state detection is helpful to understand the students' learning state, which is the necessary and basic aspect of teaching activities evaluation and assessment. The performance of traditional methods may deteriorate dramatically because of the external environment factors. In this paper, a novel drowsy student state detection method by integrating deep convolutional neural network is proposed at the first time in the literature. The proposed method avoids the complicated manual feature extraction operation and it can effectively reduce the interference of environmental factors in the application scenarios. Experimental results demonstrate that our approach can achieve high accuracy and lower error rate for drowsy student state detection. In addition, the results also show that our method outperforms traditional methods. Copyright © 2018 John Wiley & Sons, Ltd.
语种：
英文
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Research on Construction of Nursing Knowledge Portal Based on Big Data
作者：
Liu, Ying;Li, Di*
期刊：
Proceedings - 6th International Conference of Educational Innovation Through Technology, EITT 2017 ,2017年2018-March:207-208 ISSN：2168-944X
通讯作者：
Li, Di
作者机构：
[Liu, Ying] Wuhan Univ, Renmin Hosp, Dept Nephrol 2, Wuhan, Hubei, Peoples R China.;[Li, Di] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
通讯机构：
[Li, Di] C;Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
会议名称：
6th International Conference of Educational Innovation through Technology (EITT)
会议时间：
DEC 07-09, 2017
会议地点：
Waseda Univ, Osaka, JAPAN
会议主办单位：
Waseda Univ
会议论文集名称：
Proceedings of the International Conference of Educational Innovation through Technology
关键词：
Nursing;Explicit knowledge;Tacit knowledge;Knowledge portal;Networking Services
摘要：
In order to achieve the knowledge management in the nursing domain, promote the informationized nursing management and improve the efficiency of nursing work. This paper design a nursing knowledge portal system architecture based on the modern information technology and web knowledge services, then it builds the nursing knowledge portal by integrated the nursing information portal and nursing information system, and the nursing knowledge portal constructs a technical module of personalized knowledge recommendation and nursing knowledge networking services. The nursing knowledge portal can effectively improve the information acquisition ability and knowledge learning ability of nurses and promote the transformation from tacit nursing knowledge to explicit knowledge.<br/> ©2017 IEEE.
语种：
英文
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Developing an Informal Science Education Activity based on Edmodo
作者：
Min, Qiusha* ;Wu, Guanghui;Liu, Neng
期刊：
ACM International Conference Proceeding Series ,2017年Part F130654:63-65
通讯作者：
Min, Qiusha
作者机构：
[Wu, Guanghui; Min, Qiusha; Liu, Neng] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Hubei, Peoples R China.
通讯机构：
[Min, Qiusha] C;Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Hubei, Peoples R China.
会议名称：
International Conference on Education and Multimedia Technology (ICEMT)
会议时间：
JUL 09-11, 2017
会议地点：
Singapore, SINGAPORE
会议主办单位：
[Min, Qiusha;Wu, Guanghui;Liu, Neng] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Hubei, Peoples R China.
会议论文集名称：
ICEMT '17: Proceedings of the 2017 International Conference on Education and Multimedia Technology
关键词：
Informal science education;Edmodo;inquiry learning
摘要：
With the fast development of science and technology, science education is becoming more and more important. However, traditional science education methods are not effective and seems to decline interest among young people for science study. This paper presents a new learning strategy for effective science learning. This strategy integrates an online learning platform, Edmodo, to provide abundant resources, convenient communications, and inquiry learning opportunities. Via Edmodo, science learning is not restricted within a museum or a school. Learners could read science articles, discuss with others and visit exhibitions online. The experimental results show that participants performance in science learning is significantly improved by the informal science education activity based on Edmodo and most participants are satisfied with this science education strategy. Thus, this study may inspire museums or science education associations to integrate Edmodo into science education to improve the effectiveness of science learning.
语种：
英文
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A hand-waving dance teaching system based on kinect
作者：
Liu, Qingtang;Yu, Shufan* ;Wang, Yang;Le, Huixiao;Yuan, Yangyang
期刊：
Lecture Notes in Computer Science ,2017年 10309:354-365 ISSN：0302-9743
通讯作者：
Yu, Shufan
作者机构：
[Wang, Yang; Le, Huixiao; Yuan, Yangyang; Liu, Qingtang; Yu, Shufan] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Yu, Shufan] C;Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Hubei, Peoples R China.
会议名称：
10th International Conference on Blended Learning (ICBL)
会议时间：
JUN 27-29, 2017
会议地点：
City Univ Hong Kong, Hong Kong, HONG KONG
会议主办单位：
City Univ Hong Kong
会议论文集名称：
Lecture Notes in Computer Science
关键词：
Interactive learning;Kinect;Motion sensing;Hand-waving dance
摘要：
Hand-waving dance is the essence of Tujia culture. Whereas it is facing the danger of dying out. Following a choreographer’s direct demonstration or watching videos recorded by dancers is the traditional learning method. Though there will be a certain degree of effect, the preciseness and feedbacks are often not so satisfying. In this paper, by analyzing the application of motion sensing technology in dance teaching, we designed and developed a set of interactive teaching system based on Kinect for Tujia traditional Hand-waving dance. In this system, not only can users learn dance skills, but they can also get an intuitionistic evaluation and review their learning process. Our study aims to solve the problem in Hand-waving dance teaching and provides a new method for Hand-waving Dance learning. Finally, we can see that the interactive learning based on computer is gradually becoming a new popular learning style.
语种：
英文
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A study of peer coaching in teachers’online professional learning communities
作者：
Zhang, Si* ;Liu, Qingtang* ;Wang, Qiyun
期刊：
Universal Access in the Information Society ,2017年16(2):337-347 ISSN：1615-5289
通讯作者：
Zhang, Si;Liu, Qingtang
作者机构：
[Wang, Qiyun; Liu, Qingtang; Zhang, Si] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Peoples R China.;[Zhang, Si] Hunan First Normal Univ, Sch Informat Sci & Engn, Changsha 410205, Hunan, Peoples R China.;[Wang, Qiyun] Nanyang Technol Univ, Natl Inst Educ, 1 Nanyang Walk, Singapore, Singapore.
通讯机构：
[Zhang, S; Liu, QT] C;[Zhang, Si] H;Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Peoples R China.;Hunan First Normal Univ, Sch Informat Sci & Engn, Changsha 410205, Hunan, Peoples R China.
关键词：
Peer coaching;Online professional learning communities;K12 teachers;Professional development
摘要：
Facilitating professional development of teachers has been considered as a critical factor for improving education quality. The use of an online professional learning community can provide professional development opportunities including courses, activities, and interactions with peers;thus, teachers can get together to share their resources, solve problems, develop working strategies, and improve their performance. In this study, peer coaching consists of four factors: academic support, technical support, emotional support, and reflective support. The authors collected self-reports regarding peer coaching behavior from 376 members of online professional learning communities in China. Data analyses and investigations of logs showed that the teachers had rated themselves as slightly above the average in all the factors of peer coaching. Peer coaching was mainly composed of reflective support and emotional support. Male teachers tended to provide more technical support, and senior teachers tended to provide more academic support and less technical support. The teachers with 6–10 years of teaching experience scored lowest in the construct of technical support. There was no significant difference between primary school and junior high school teachers. The findings of this study suggest that the development of teachers’pedagogical, content, and technological knowledge (TPACK) may help to improve the effect of peer coaching and conducting training for teachers before the peer coaching process may help. ©2016, Springer-Verlag Berlin Heidelberg.
语种：
英文
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Spectral-spatial response for hyperspectral image classification
作者：
Wei, Yantao* ;Zhou, Yicong;Li, Hong
期刊：
Remote Sensing ,2017年9(3):203 ISSN：2072-4292
通讯作者：
Wei, Yantao
作者机构：
[Wei, Yantao] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Peoples R China.;[Zhou, Yicong; Wei, Yantao] Univ Macau, Dept Comp & Informat Sci, Taipa 999078, Macau, Peoples R China.;[Li, Hong] Huazhong Univ Sci & Technol, Sch Math & Stat, Wuhan 430074, Peoples R China.
通讯机构：
[Wei, Yantao] C;[Wei, Yantao] U;Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Peoples R China.;Univ Macau, Dept Comp & Informat Sci, Taipa 999078, Macau, Peoples R China.
关键词：
hierarchical framework;hyperspectral image classification;spectral-spatial feature;joint feature learning;subspace learning
摘要：
This paper presents a hierarchical deep framework called Spectral-Spatial Response (SSR) to jointly learn spectral and spatial features of Hyperspectral Images (HSIs) by iteratively abstracting neighboring regions. SSR forms a deep architecture and is able to learn discriminative spectral-spatial features of the input HSI at different scales. It includes several existing spectral-spatial-based methods as special scenarios within a single unified framework. Based on SSR, we further propose the Subspace Learning-based Networks (SLN) as an example of SSR for HSI classification. In SLN, the joint spectral and spatial features are learned using templates simply learned by Marginal Fisher Analysis (MFA) and Principal Component Analysis (PCA). An important contribution to the success of SLN is the exploitation of label information of training samples and the local spatial structure of HSI. Extensive experimental results on four challenging HSI datasets taken from the Airborne Visible-Infrared Imaging Spectrometer (AVIRIS) and Reflective Optics System Imaging Spectrometer (ROSIS) airborne sensors show the implementational simplicity of SLN and verify the superiority of SSR for HSI classification. ©2017 by the authors.
语种：
英文
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The Relationship between Computer Experience and College Students' Digital Citizenship
作者：
Xu, Shun;Yang, Harrison Hao* ;Zhu, Sha;MacLeod, Jason
期刊：
Proceedings - 6th International Conference of Educational Innovation Through Technology, EITT 2017 ,2017年2018-March:65-69 ISSN：2168-944X
通讯作者：
Yang, Harrison Hao
作者机构：
[Xu, Shun] Cent China Normal Univ, Collaborat & Innovat Ctr Educ Technol, Wuhan, Hubei, Peoples R China.;[Xu, Shun] Huang Gang Normal Univ, Sch Educ Sci & Technol, Huanggang, Peoples R China.;[MacLeod, Jason; Yang, Harrison Hao] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Hubei, Peoples R China.;[Yang, Harrison Hao] SUNY Coll Oswego, Sch Educ, New York, NY 13126 USA.;[Zhu, Sha] Cent China Normal Univ, Wuhan Huada Natl E Learning Technol Co Ltd, Wuhan, Hubei, Peoples R China.
通讯机构：
[Yang, Harrison Hao] C;[Yang, Harrison Hao] S;Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Hubei, Peoples R China.;SUNY Coll Oswego, Sch Educ, New York, NY 13126 USA.
会议名称：
6th International Conference of Educational Innovation through Technology (EITT)
会议时间：
DEC 07-09, 2017
会议地点：
Waseda Univ, Osaka, JAPAN
会议主办单位：
Waseda Univ
会议论文集名称：
Proceedings of the International Conference of Educational Innovation through Technology
关键词：
college students;digital citizenship;computer experience
摘要：
The purpose of this study was to investigate the relationship between college students' computer experience and digital citizenship. Data was collected with the Digital Citizenship Scale from 712 college students in central China. The results showed that college students' computer experience had no significant effect on the overall digital citizenship construct. However, college students' daily computer usage time had a significant effect on one dimension of digital citizenship: Respect Yourself/Respect Others. Based on the results of this study, the authors proposed several strategies be considered to improve college students' digital citizenship.<br/> ©2017 IEEE.
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An Effective Approach for Rock Mass Discontinuity Extraction Based on Terrestrial LiDAR Scanning 3D Point Clouds
作者：
Han, Xianquan* ;Yang, Shengmei;Zhou, Fangfang;Wang, Jian;Zhou, Dongbo
期刊：
IEEE ACCESS ,2017年5:26734-26742 ISSN：2169-3536
通讯作者：
Han, Xianquan
作者机构：
[Han, Xianquan; Yang, Shengmei; Zhou, Fangfang] Changjiang River Sci Res Inst, Wuhan 430010, Hubei, Peoples R China.;[Wang, Jian] Minist Water Resources, Dept Construct & Management, Beijing 100053, Peoples R China.;[Zhou, Dongbo] Huazhong Normal Univ, Natl Engn Res Ctr E Learning Sci Hall, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Han, Xianquan] C;Changjiang River Sci Res Inst, Wuhan 430010, Hubei, Peoples R China.
关键词：
Discontinuity extraction;Double-clustering;Extended RANSAC;Normal vector;Quadtree-octree
摘要：
This paper presents an effective approach for rock mass discontinuity extraction based on the terrestrial LiDAR scanning 3-D point clouds. First, a Quadtree-Octree index method that retained the adjacency relationship of rock point clouds was proposed to organize point cloud data in a high-efficiency manner. Second, the normal vector (NV) calculation was directly conducted by the local triangulated irregular networks together with eight neighborhood areas. Third, a double-clustering strategy was developed based on the Quadtree-Octree index and NV calculation discussed in Step one and two. The first clustering was conducted in the point cloud matrix at each station, whereas the second clustering among multiple stations. Fourth, an extended random sample consensus algorithm was designed with two separate checks (distance and angle) to detect whether the compliance with certain constraints occurred between rock point clouds and fitting planes. The proposed method were evaluated by a real field data set in China and a public data set from Rockbench. The feasibility of the proposed method were verified by these two data sets, which indicated a promising perspective for the field engineering survey. © 2013 IEEE.
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College Students' Computer Self-efficacy, Intrinsic Motivation, Attitude, and Satisfaction in Blended Learning Environments
作者：
Li, Yanhong;Yang, Harrison Hao* ;Cai, Jin;MacLeod, Jason
期刊：
Lecture Notes in Computer Science ,2017年10309:65-73 ISSN：0302-9743
通讯作者：
Yang, Harrison Hao
作者机构：
[Cai, Jin; Li, Yanhong] Cent China Normal Univ, Collaborat & Innovat Ctr Educ Technol, Wuhan, Hubei, Peoples R China.;[MacLeod, Jason; Yang, Harrison Hao] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Hubei, Peoples R China.;[MacLeod, Jason; Yang, Harrison Hao] SUNY Coll Oswego, Sch Educ, Oswego, NY 13126 USA.
通讯机构：
[Yang, Harrison Hao] C;[Yang, Harrison Hao] S;Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Hubei, Peoples R China.;SUNY Coll Oswego, Sch Educ, Oswego, NY 13126 USA.
会议名称：
10th International Conference on Blended Learning (ICBL)
会议时间：
JUN 27-29, 2017
会议地点：
City Univ Hong Kong, Hong Kong, HONG KONG
会议主办单位：
City Univ Hong Kong
会议论文集名称：
Lecture Notes in Computer Science
关键词：
Blended learning;Computer self-efficacy;Intrinsic motivation;Attitude;Satisfaction
摘要：
The purpose of this study was to examine the relationships between students’ computer self-efficacy, intrinsic motivation, attitude, and satisfaction in blended learning environments. The participants were 239 college students enrolled at Hubei University in China. A survey including four existing instruments was used for data collection. The results of structural equation modeling analysis suggested students’ attitudes toward online and face-to-face classes were the most influential toward to satisfaction in blended learning environments. Higher levels of intrinsic motivation were seen to be influential toward satisfaction in blended learning environments. Computer self-efficacy was seen to influence intrinsic motivation and attitudes, but not found to influence satisfaction in blended learning environments.
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Research on energy expenditure detection based on three-dimensional acceleration
作者：
Luo, Qi
期刊：
Advances in Intelligent Systems and Computing ,2017年496:153-161 ISSN：2194-5357
通讯作者：
Luo, Qi(ccnu_luo2008@126.com)
作者机构：
[Luo, Qi] School of Educational Information Technology, Central China Normal University, Wuhan, 430079, China;[Luo, Qi] College of Sports Engineering and Information Technology, Wuhan Sports University, Wuhan, 430079, China
通讯机构：
[Luo, Q.] S;School of Educational Information Technology, China
会议名称：
International Conference on Human Factors in Sports and Outdoor Recreation, AHFE 2016
会议时间：
27 July 2016 through 31 July 2016
会议论文集名称：
Advances in Human Factors in Sports and Outdoor Recreation
关键词：
MMA 7260QT;MSP430F149;Physical activity energy expenditure;Three-dimensional acceleration
摘要：
The physical activity energy expenditure mainly refers to the part of the body energy which is used for muscle contraction to mechanical work. With the improvement of living standards, people’s diet structure has changed enormously. Basing on it, the three-dimensional acceleration monitoring system to monitor the physical activity energy expenditure and daily actions is proposed in the paper. Hardware Design and The mechanism of accelerometer assessing movement energy were also proposed in the paper. The system is based on three-dimensional acceleration transducer MMA 7260QT and microprocessor MSP430F149.<br/> ©Springer International Publishing Switzerland 2017.
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Research and implementation on fitness management system for Hubei province public servants
作者：
Luo, Qi*
期刊：
Advances in Intelligent Systems and Computing ,2017年498:909-919 ISSN：2194-5357
通讯作者：
Luo, Qi
作者机构：
[Luo, Qi] Wuhan Sports Univ, Coll Sports Engn & Informat Technol, Wuhan 430079, Peoples R China.;[Luo, Qi] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Peoples R China.
通讯机构：
[Luo, Qi] W;Wuhan Sports Univ, Coll Sports Engn & Informat Technol, Wuhan 430079, Peoples R China.
会议名称：
International Conference on Human Factors, Business Management and Society
会议时间：
JUL 27-31, 2016
会议地点：
FL
会议主办单位：
[Luo, Qi] Wuhan Sports Univ, Coll Sports Engn & Informat Technol, Wuhan 430079, Peoples R China.^[Luo, Qi] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Peoples R China.
会议论文集名称：
Advances in Intelligent Systems and Computing
关键词：
Fitness management system;Hubei province;Physical health;Public servants
摘要：
Public servant is a special group which is under high tension because of their life style, rest and work system and with high pressure coming from jobs and society. Public servant is in sub-health status and is high dangerous group of some chronics. Public servant has a highly recognition about the value of sport for health and has desire to participate in it. But because some objective and subjective reasons, public servant cannot participate in exercise and is lack of targeted and scientific. From the needs of scientific guidance for Public servant’physical exercise and base on the fitness index, medical index and daily behaviors, The Fitness Management System for Hubei Province Public Servants in China was designed. The system consists of 4 subsystems such as exercise prescription subsystem, nutrition prescription subsystem, psychological control subsystem and lifestyle subsystem. The system provides a scientific support platform for exercise health promotion of Hubei Province Public servants. Moreover, it can effectively guide them to exercise scientifically and thus improving their physical health.<br/> ©Springer International Publishing Switzerland 2017.
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A Study on Grouping Strategy of Collaborative Learning Based on Clustering Algorithm
作者：
Liu, Qingtang;Ba, Shen* ;Huang, Jingxiu* ;Wu, Linjing;Lao, Chuanyuan
期刊：
Lecture Notes in Computer Science ,2017年 10309:284-294 ISSN：0302-9743
通讯作者：
Ba, Shen;Huang, Jingxiu
作者机构：
[Lao, Chuanyuan; Ba, S; Huang, Jingxiu; Ba, Shen; Liu, Qingtang; Wu, Linjing] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Ba, S; Huang, JX] C;Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Hubei, Peoples R China.
会议名称：
10th International Conference on Blended Learning (ICBL)
会议时间：
JUN 27-29, 2017
会议地点：
City Univ Hong Kong, Hong Kong, HONG KONG
会议主办单位：
City Univ Hong Kong
会议论文集名称：
Lecture Notes in Computer Science
关键词：
Collaborative learning;Learning style analysis;Clustering analysis;Education data mining;Grouping strategy
摘要：
As educational informatization develops continuously, blended learning has become the focus of increasing amount of research works. Among these studies, researchers indicate that collaborative learning, as an important teaching strategy, is of great effectiveness in promoting students’ learning performance either in E-learning or classroom teaching. However, due to the fact that different students may have different learning styles, it is crucial for teachers to take this factor into consideration. Therefore, to enhance the validity of grouping in collaborative learning, this paper proposes a grouping strategy based on the analysis results of students’ learning styles using K-Means and hierarchical clustering. Results of clustering analysis can provide a valuable reference no matter for homogeneous grouping or heterogeneous grouping.
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