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2021 9th International Conference on Information and Education Technology (ICIET)最新文献

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Parametrization of Statistical Models in Three-layer Neural Networks 三层神经网络中统计模型的参数化
Pub Date : 2021-03-27 DOI: 10.1109/ICIET51873.2021.9419592
Tomohiro Washino, Tadashi Takahashi
In a hierarchical structure model such as a neural network, the set of true parameters consists of not one point but a union of several manifolds and contains complicated singularities, making it difficult to analyze their behavior and discuss it theoretically. We first consider that the set of true parameters that is realizable by a statistical model with a hyperbolic tangent as an activation function are algebraic sets defined by finite polynomials. The main purpose of this paper is to show the parametrization of algebraic sets containing complicated singularities in three-layer neural networks using the Cröbner basis technique for finitely generated ideals.
在神经网络等层次结构模型中,真参数集不是由一个点组成,而是由多个流形的并集组成,并且包含复杂的奇点,这给分析它们的行为和理论讨论带来了困难。我们首先考虑以双曲正切为激活函数的统计模型所能实现的真参数集是由有限多项式定义的代数集。本文的主要目的是利用有限生成理想的Cröbner基技术对三层神经网络中包含复杂奇异点的代数集进行参数化。
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引用次数: 0
Research on the Influence of PBL Teaching on College Students' Attitudes to Advanced Mathematics PBL教学对大学生高等数学态度的影响研究
Pub Date : 2021-03-27 DOI: 10.1109/ICIET51873.2021.9419594
Xin Hu, Yanfei Yang, Juntao Hu, Yan Li
In order to meet the needs of talent training under the current situation, many colleges and universities have begun to adopt a problem-based teaching model (Problem-Based Learning, PBL) in their teaching. This article uses the “College Students Learning Attitudes Scale” and semi-structured interviews as the main tools, and conducts teaching experiments to empirically test the influence of the PBL model on advanced mathematics learning attitudes. The survey results of the scale show that PBL teaching has a significant positive impact on the learning attitude of Advanced Mathematics. Through PBL teaching, students realize the value of advanced mathematics and increase their interest in learning, but PBL teaching does not significantly increase students' confidence in learning. Combined with the analysis of interviews, the article puts forward three research inspirations for the practice of PBL teaching, in order to promote the development of PBL teaching reform in universities.
为了适应当前形势下人才培养的需要,许多高校开始在教学中采用基于问题的教学模式(problem-based Learning, PBL)。本文以《大学生学习态度量表》和半结构化访谈为主要工具,进行教学实验,实证检验PBL模式对高等数学学习态度的影响。量表的调查结果显示,PBL教学对高等数学的学习态度有显著的正向影响。通过PBL教学,学生意识到了高等数学的价值,提高了他们的学习兴趣,但PBL教学并没有显著提高学生的学习信心。结合访谈分析,提出了三项对PBL教学实践的研究启示,以期促进高校PBL教学改革的发展。
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引用次数: 0
Analysis of Teenage Cyberactivists on Twitter and Instagram around the World 对世界各地Twitter和Instagram上的青少年网络活动人士的分析
Pub Date : 2021-03-27 DOI: 10.1109/ICIET51873.2021.9419619
J. Fernández-Prados, Antonia Lozano-Díaz, Cristina Cuenca-Piqueras, M. González-Moreno
The latest social movements of the second decade of this century have recently highlighted the image of teenage activists such as the paradigmatic case of Greta Thunberg. These teen activists engage in their activism through social media. Following an analysis of a dozen listings in books and websites of young and teenage activists, 38 teenage cyber-activists have been identified who at least have a Twitter or Instagram accounts. The main results point to a female profile and environmental causes. Another notable finding is the predominance of Instagram, which doubles the number of followers and macroinfluencers of Twitter. These adolescent experiences of digital activism can be a good model and pedagogical tool for education on critical and active digital citizenship.
本世纪第二个十年的最新社会运动最近突出了青少年活动家的形象,例如格蕾塔·滕伯格的典型案例。这些青少年积极分子通过社交媒体参与他们的活动。在对书籍和网站上十几位年轻和青少年活动家的名单进行分析后,已经确定了38名青少年网络活动家至少拥有Twitter或Instagram账户。主要的研究结果指向女性形象和环境因素。另一个值得注意的发现是Instagram的优势,它使Twitter的粉丝和宏观影响者数量增加了一倍。这些青少年数字行动主义的经历可以成为教育批判性和积极的数字公民的良好模式和教学工具。
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引用次数: 1
Effect of Robot Position Control Using Force Information: Human versus Robot with Force Sensor 基于力信息的机器人位置控制效果:人与带力传感器的机器人
Pub Date : 2021-03-27 DOI: 10.1109/ICIET51873.2021.9419653
Seishiro Ito, Y. Ishibashi, Pingguo Huang, Y. Tateiwa
This paper investigates the effect of the robot position control using force information, which finely adjusts the robot position to reduce the force applied to an object, for cooperative work between two remote robot systems with force feedback by experiment. As cooperative work in our experiment, an object is carried together by using the two robots each of which has a force sensor without communicating with each other. We also make a comparison between the case in which the two robots work together and the case in which one robot works with a human instead of the other robot. We further examine the influence of the movement velocity of the object on the control.
本文通过实验研究了利用力信息对机器人位置进行精细调整以减小施加在物体上的力的机器人位置控制对具有力反馈的两个远程机器人系统之间的协同工作的效果。在我们的实验中,作为协作工作,两个机器人各有一个力传感器,在没有相互通信的情况下一起搬运一个物体。我们还比较了两个机器人一起工作的情况和一个机器人与人类而不是另一个机器人一起工作的情况。我们进一步研究了物体的运动速度对控制的影响。
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引用次数: 1
A Novel Learning Early-Warning Model Based on Knowledge Points and Question Types 基于知识点和题型的学习预警模型
Pub Date : 2021-03-27 DOI: 10.1109/ICIET51873.2021.9419649
Yuhang Zou, Zhengzhou Zhu, Yu Liu, Zhenghui Li
Learning early-warning is of great importance to many educational domains, such as adaptive learning and personalized teaching, and has drawn numerous research attention in recent decades. In order to solve the problem of large prediction granularity in previous study. In this study, we seek to construct two novel features, including knowledge points and question types, and predict students' performance based on the two types of information. According to the predicted results, we divide the early-warning into 3 levels, and provide different levels of guidance and reminders for different warning levels of students. We did experiments based on the two types data of 141 students in Peking University. The result shows that our method has been significantly improved compared with Linear regression, RF and Adaboost. The experiment shows that the model's predicted grades and the real data Pearson correlation coefficient is 0.890568, and the accuracy of predicting warning levels is 85.81%.
学习预警在适应性学习和个性化教学等诸多教育领域具有重要意义,近几十年来引起了许多研究的关注。为了解决以往研究中预测粒度大的问题。在这项研究中,我们试图构建两个新颖的特征,包括知识点和问题类型,并根据这两类信息预测学生的表现。根据预测结果,我们将预警分为3个级别,并针对不同预警级别的学生提供不同级别的指导和提醒。我们基于141名北京大学学生的两类数据进行了实验。结果表明,与线性回归、RF和Adaboost相比,我们的方法有了显著的改进。实验表明,该模型预测等级与实际数据Pearson相关系数为0.890568,预警等级预测准确率为85.81%。
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引用次数: 0
A Self-paced Tutoring System, ILSA: Which System Utilization aligned with Learners' Goal Orientations? 自定进度辅导系统,ILSA:哪些系统的使用符合学习者的目标导向?
Pub Date : 2021-03-27 DOI: 10.1109/ICIET51873.2021.9419633
Cesar A. Tccson, M. Rodrigo
For several decades, the role of computers has been appreciated in achieving various educational goals. Computer-assisted instructions become very popular in educational settings nowadays. Various intelligent tutoring systems have been developed to support learning in different contexts. This work investigates a tutoring system for learning Finite State Machines (FSM), one of the models of computation in Automata Theory, called ILSA. ILSA was deliberately developed to appeal to learners' achievement goal orientations. Achievement Goal Orientation theory suggests that learners could be mastery-oriented or performance-oriented. Hence, the specific aim of this investigation is to examine if there is evidence of alignment between system utilization and achievement goal orientations of learners. In other words, did the learners use the features of ILSA according to their respective orientation? Results showed that the goal orientations in Post-ILSA 1 have high manifestations of alignment between utilization and achievement goal orientations.
几十年来,计算机在实现各种教育目标方面的作用一直得到重视。计算机辅助教学在当今的教育环境中变得非常流行。各种智能辅导系统已经被开发出来,以支持不同环境下的学习。这项工作研究了一个学习有限状态机(FSM)的辅导系统,有限状态机是自动机理论中的计算模型之一,称为ILSA。ILSA的开发是为了迎合学习者的成就目标导向。成就目标导向理论认为学习者可以是掌握导向或绩效导向。因此,本调查的具体目的是检查是否有证据表明系统利用和学习者的成就目标取向之间的一致性。换句话说,学习者是否根据他们各自的取向使用了ILSA的特征?结果表明,大学生利用目标取向与成就目标取向具有高度的一致性。
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引用次数: 1
E-learning System Customized in the Integral Process of Teaching Learning of Engineering Students 工程专业学生教与学一体化过程中的电子学习系统定制
Pub Date : 2021-03-27 DOI: 10.1109/ICIET51873.2021.9419597
Carmen Cuba Cornejo, Roberto Cuba Acasiete, Victor Arroyo Quispe, Jose Morales Valencia, Fernando Guerrero Salazar
The objective of this research work is to determine the incidence of application of the personalized e-learning system in the achievement of the integral teaching-learning process of the students of Electrical Mechanical Engineering of the National University San Luis Gonzaga 2019; basic type research, nonexperimental design, causal explanatory level, quantitative approach, non-probabilistic sample, for convenience; the instrument applied was the survey, using the inductive deductive method; With a non-probabilistic sample made up of enrolled students, the results made it possible to deduce and explain the facts or phenomena that influenced the improvement of the teaching-learning process. It was concluded that e-learning platforms increase technological speed, allowing the creation of learning spaces (LE) on the Internet, with a wide range of functionalities at the service of different types of teaching and learning.
本研究工作的目的是确定个性化电子学习系统在实现圣路易斯冈萨加国立大学2019年机电工程专业学生整体教与学过程中的应用情况;基础型研究,非实验设计,因果解释水平,定量方法,非概率样本,方便;所采用的方法为调查法,采用归纳演绎法;使用由注册学生组成的非概率样本,结果可以推断和解释影响教学过程改进的事实或现象。结论是,电子学习平台提高了技术速度,允许在互联网上创建学习空间(LE),具有广泛的功能,为不同类型的教学和学习服务。
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引用次数: 1
Vocational Education Digital Enterprise Architecture Framework (VEDEAF) 职业教育数字化企业架构框架(VEDEAF)
Pub Date : 2021-03-27 DOI: 10.1109/ICIET51873.2021.9419576
Thanasam Rujira, P. Nilsook, P. Wannapiroon
The purpose of this research was follows: 1) synthesis of components of enterprise architecture and 2) to develop a vocational education digital enterprise architecture framework (VEDEAF) 3) evaluate of VEDEAF. Which have been studied from theories, documents and researches related to enterprise architecture, high performance organization, digital organization and operating process within Vocational Education College. The results of the research showed that components of VEDEAF consist of six component which are 1) Business Architecture, 2) Data Architecture, 3) Application Architecture, 4) Infrastructure Architecture, 5) Security Architecture and 6) Human Capital Architecture. Each components also divided into sub-module as follows; Business Architecture divided into 2 submodules which are Mission and Core Processes; Data Architecture divided into 2 sub-modules which are Core Process Data and Supporting Process data; Application Architecture divided into 3 sub-modules which are Instructional Application, Process Application and Integration Application; Infrastructure Architecture divided into 5 sub-modules which are Communication Platform, Operating System, Hardware Platform, Network and Data Communication Platform and Server Platform; Human Capital Architecture divided into 4 sub-modules which are Executive, Teacher, Student and Administration. To evaluation results of VEDEAF, the result found that the appropriate is at very high levels.
本研究的目的是:1)综合企业架构的组成部分;2)开发职业教育数字企业架构框架(VEDEAF); 3)评估VEDEAF。通过对高职院校内部企业架构、高绩效组织、数字化组织、运营流程等相关理论、文献和研究进行研究。研究结果表明,VEDEAF的组成由6个部分组成:1)业务体系结构、2)数据体系结构、3)应用体系结构、4)基础设施体系结构、5)安全体系结构和6)人力资本体系结构。每个组件又分为以下子模块;业务架构分为两个子模块:使命和核心流程;数据架构分为核心流程数据和支持流程数据两个子模块;应用体系结构分为3个子模块:指导性应用、流程应用和集成应用;基础架构分为通信平台、操作系统、硬件平台、网络与数据通信平台、服务器平台5个子模块;人力资本架构分为管理者、教师、学生和行政4个子模块。对VEDEAF的评价结果,结果发现适宜性处于非常高的水平。
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引用次数: 3
Sentiment Analysis of China's Education Policy Online Opinion Based on Text Mining 基于文本挖掘的中国教育政策网络舆情分析
Pub Date : 2021-03-27 DOI: 10.1109/ICIET51873.2021.9419585
Dan Zhang, Jie Zhang, Yuqing Zhang, Yuxin Wu
With the in-depth development of China's education reform, the combination of educational public opinion and emotion analysis is conducive to the discovery of the evolution law of public sentiment and related factors, and provides ideas for the guidance of public opinion of relevant government departments. This paper proposes an analysis model of public opinion on the education policy network based on text mining, obtains network comment contents through Octopus crawler, preprocesses the data, and introduces the calculation formula of emotion heat, on which the evolution process of public opinion is divided into incubation period, outbreak period, spreading period and decline period. Combined with visualization and emotional heat maps of provinces and ages are constructed, so as to grasp the spatial-temporal evolution law of educational public opinions. Taking the postponement of the college entrance examination in 2020 as an example, the empirical analysis proves that the online public opinion analysis model of education policy can reflect the evolution law.
随着中国教育改革的深入开展,将教育舆情与情感分析相结合,有利于发现舆情演变规律及相关因素,为政府相关部门的舆论引导提供思路。本文提出了基于文本挖掘的教育政策网络舆情分析模型,通过章鱼爬虫获取网络评论内容,对数据进行预处理,引入情绪热度计算公式,将舆情的演变过程分为潜伏期、爆发期、传播期和衰退期。结合可视化和情感化的方法,构建各省、年龄段的热点图,掌握教育舆情的时空演变规律。以2020年高考延期为例,实证分析证明教育政策的网络舆情分析模型能够反映演进规律。
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引用次数: 2
A Real-Time COVID-19 Data Visualization and Information Repository in the Philippines 菲律宾新冠肺炎实时数据可视化和信息库
Pub Date : 2021-03-27 DOI: 10.1109/ICIET51873.2021.9419591
Julio Jerison E. Macrohon, J. Jeng
The current COVID-19 pandemic has caused undeniable damages in varying sectors throughout the world, from healthcare, to economy, to education and politics. One of the pressing issues that the spread of this disease has also caused is the corresponding propagation of misinformation and “fake news” on the coronavirus. In response to this, the Sustainable Development Solutions Network (SDSN) Youth Philippines has proudly created and seeks to expand a consolidated and comprehensive Interactive Philippine Dashboard (https://covid19.sdsnyouthph.org/), a one-stop shop for all relevant information on COVID-19, specifically designed to be understood by the youth.
当前的COVID-19大流行在世界各地的各个部门造成了不可否认的损害,从医疗保健到经济,再到教育和政治。新冠肺炎疫情蔓延带来的一个紧迫问题是,有关新冠肺炎的错误信息和“假新闻”也在相应传播。为此,菲律宾青年可持续发展解决方案网络(SDSN)自豪地创建并寻求扩展一个综合全面的互动菲律宾仪表板(https://covid19.sdsnyouthph.org/),这是一个一站式商店,提供有关COVID-19的所有相关信息,专门为年轻人设计。
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引用次数: 0
期刊
2021 9th International Conference on Information and Education Technology (ICIET)
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