摘要：
How to improve pre-service teachers’ argumentation skills has been receiving more and more attention from teacher educators. Visual cognitive tool refers to tools which users can learn with and creatively use to construct knowledge online. Current research revealed that it could help to improve learners’ higher-order thinking skills. This experimental study aimed to investigate the effect of two kinds of cognitive tools, the text-based online visual cognitive tool and the visual concept map, on improving the pre-service teachers’ skills on constructing and evaluating arguments. Post-test argumentation measurement scores and attitude questionnaire showed that the text-based cognitive tool was more effective than the concept map on improving pre-service teachers’ argumentation skills. However, the concept map was useful for externalizing the pre-service teachers’ thinking process as well as collaborative learning. This study also found that the pre-service teachers with teaching experience were inferior to the ones without any teaching experience in the ability on constructing arguments.
作者：
Hongxia Li;ChengLing Zhao*;Taotao Long;Yan Huang;Fengfang Shu
期刊：
British Journal of Educational Technology,2021年52(6):2263-2277 ISSN：0007-1013
通讯作者：
ChengLing Zhao
作者机构：
[Hongxia Li; ChengLing Zhao; Taotao Long; Yan Huang; Fengfang Shu] School of Educational Information Technology, Central China Normal University, Wuhan, China
通讯机构：
[ChengLing Zhao] S;School of Educational Information Technology, Central China Normal University, Wuhan, China
期刊：
JOURNAL OF COMMUNICATIONS AND NETWORKS,2021年23(4):271-280 ISSN：1229-2370
通讯作者：
Liao, Shengbin
作者机构：
[Liao, Shengbin] Cent China Normal Univ, Natl Engn Ctr E Learning, Wuhan, Peoples R China.
通讯机构：
[Liao, Shengbin] C;Cent China Normal Univ, Natl Engn Ctr E Learning, Wuhan, Peoples R China.
关键词：
Index Terms;Consensus algorithm;network utility maximization;power control;primary-dual algorithm;wireless sensor networks
摘要：
This paper investigates a method to distributively solve a Network Utility Maximization (NUM) problem with coupled variables and applies it to study power control in wireless sensor networks (WSNs). We present a dual decomposition-based consistency price algorithm to solve the coupled problem. However, the consistency price algorithm suffers from slow convergence. We then propose a two-step method to address the given issue. The first step is to build up a global consensus problem by introducing slack variables to transform the NUM problem with globally coupled variables into a NUM problem with coupled constraints. The second step is to design a distributed algorithm that combines the first-order gradient/subgradient method and a local consensus algorithm to solve the global consensus problem. The proposed algorithm is a primary algorithm which has faster convergence speed than the consistency price algorithm which is a primary-dual algorithm. Experimental results have demonstrated the effectiveness of our proposed approach.
摘要：
Contemporary society expects learners to synthesize large amounts of available information and take advantage of interdisciplinary knowledge to tackle complex, real-world issues. STEAM education aims to cultivate students' ability to solve such problems through interdisciplinary thinking but is often represented by courses that are merely disjointed arrays of school subjects. On the other hand, Maker education harnesses society's enthusiasm for technological innovation and creativity but overlooks the scientific principles that underpin these processes. This research presents a novel elementary school course informed by the interdisciplinary principles of STEAM, integrated with Maker's focus on technology and creativity. The course design also utilized engineering design as a meta-thematic framework. A total of 164 third-grade pupils participated in the research, with responses analyzed using descriptive statistical methods. The findings indicated that the integrated design of the course promoted pupils' learning motivation, self-efficacy, and acquisition of interdisciplinary knowledge. These effects were not gender-specific and demonstrate the potential applicability of a STEAM/Maker integrated approach to curriculum design in other settings.
摘要：
Spatial position consistency and occlusion consistency are two important problems in augmented reality systems. In this paper, we proposed a novel method that can address the registration problem and occlusion problem simultaneously by using an RGB-D camera. First, to solve the image alignment errors caused by the imaging mode of the RGB-D camera, we developed a depth map inpainting method that combines the FMM and RGB-D information. Second, we established an automatic method to judge the close-range mode based on the depth histogram to solve the registration failure problem caused by hardware limitations. In the close-range mode, the registration method combining the fast ICP and ORB was adopted to calculate the camera pose. Third, we developed an occlusion handling method based on the geometric analysis of the scene. Several experiments were performed to validate the performance of the proposed method. The experimental results indicate that our method can obtain stable and accurate registration and occlusion handling results in both the close-range and non-close-range modes. Moreover, the mutual occlusion problem can be handled effectively, and the proposed method can satisfy the real-time requirements of augmented reality systems.
期刊：
SN Computer Science,2021年2(2):1-11 ISSN：2662-995X
通讯作者：
Xuan Wang
作者机构：
[Mengting Chen; Xuan Wang] National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China;[Jixin Wang; Can Zuo; Jun Tian] School of Educational Information Technology, Central China Normal University, Wuhan, China;[Yongpeng Cui] Co-Innovation Center of Informatization and Balanced Development of Basic Education, Central China Normal University, Wuhan, China
通讯机构：
[Xuan Wang] N;National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China
关键词：
College student;UTAUT;Continuous intention;Online course platforms
摘要：
In recent years, online learning model has become the mainstream in higher education. The cooperation between universities and Internet education platforms provides a good learning environment and abundant online elective courses for college students, but the practical teaching effect is not ideal. Therefore, based on the Universal Theory of Acceptance and Use of Technology (UTAUT), this study introduced the perceived cost and content quality to build a model of college students’ continuous intention to use online course platforms, and used structural equation model to study the relationship among the variables. The results showed that effort expectancy and social influence affected continuous intention indirectly via performance expectancy; content quality indirectly affected continuous intention through effort expectancy, performance expectancy and effort expectancy–performance expectancy; perceived cost had a significant negative effect on continuous intention. These research results provide new ideas for the design and development of online course platform.
期刊：
Journal of Educational Computing Research,2021年59(7):1319 - 1342 ISSN：0735-6331
通讯作者：
Wu, Linjing;Liu, Qingtang
作者机构：
[Wu, Linjing; Liu, Qingtang; Li, Jing; Yang, Weiqing; He, Liming; Zhang, Yaosheng] Cent China Normal Univ, Sch Educ Informat Technol, 152 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.;[Liu, Qingtang] Cent China Normal Univ, Hubei Res Ctr Educ Informationizat, Wuhan, Hubei, Peoples R China.;[Cheng, Yun] Huang Gang Normal Univ, Sch Educ, Huanggang, Hubei, Peoples R China.
通讯机构：
[Wu, LJ; Liu, QT] C;Cent China Normal Univ, Sch Educ Informat Technol, 152 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.
关键词：
collaborative knowledge building;knowledge contribution;information theory;amount of information;information gain
摘要：
The measurement of knowledge contribution in collaborative knowledge building is an important research topic in computer-supported collaborative learning. The information measures of knowledge contribution based on information theory are proposed in this study, which includes two measures: amount of information and information gain. Discourse data collected from a collaborative knowledge building activity were analyzed to validate these measures. The results showed that our information measures can complement the traditional behavioral. With the help of the two measures, community-level variation tendency and individual-level knowledge contribution characteristics could be analyzed in collaborative knowledge building activities. A log function was used to fit the community knowledge variation tendency to measure the convergence of knowledge building. Students were clustered into five types according to their behaviors and contributions in collaborative knowledge building. Both teachers and researchers can benefit from these two information measures by using them in practice.
作者机构：
[Min, Qiusha; Zhou, Zhongwei; Li, Ziyi] School of Educational Information Technology, Central China Normal University, No.152 Luoyu Road, Wuhan;Hubei, China;[Min, Qiusha; Zhou, Zhongwei; Li, Ziyi] Hubei, China
会议名称：
2021 5th International Conference on Management Engineering, Software Engineering and Service Sciences, ICMSS 2021
期刊：
Information Sciences,2021年572:331-342 ISSN：0020-0255
通讯作者：
Chuli Hu
作者机构：
[Yao, Shihong; Hu, Chuli] China Univ Geosci, Sch Geog & Informat Engn, Wuhan 430078, Peoples R China.;[Wang, Tao] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Peoples R China.;[Cui, Xinyou] Army Engn Univ PLA, Ordnance NCO Coll, Wuhan 430075, Peoples R China.
通讯机构：
[Chuli Hu] S;School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China
关键词：
Autoencoder;Multiple clustering;Semi-NMF
摘要：
Clustering is performed to partition samples into disjoint groups for facilitating the discovery of hidden patterns in the data. Many real-world applications involve various clustering methods, most of which only produce a single clustering. As a response to this issue, multiple clustering that aims to generate diverse and high-quality clustering, has emerged recently. This study proposes a novel autoencoder-like semi-nonnegative matrix factorization (NMF) multiple clustering (ASNMFMC) model that generates multiple non-redundant, high-quality clustering. The nonnegative property of the semi-NMF is utilized by the algorithm to enforce non-redundancy. Extensive experimental results demonstrate that the ASNMFMC is superior to the existing multiple clustering methods and can explore diverse high-quality clustering. (c) 2021 Elsevier Inc. All rights reserved.
