基于群体情感识别的课堂教学评估技术研究

表情含有丰富的人体行为信息,是情感的主载体,通过脸部表情能够表达人的微妙情绪反应以及人类对应的心理状态。在大数据时代,人们对智能视频分析技术也越来越看重,特别是视频监控系统的智能化发展。作为课堂教学的主导者,然而目前教师主要采用课堂观察和提问的方式与学生互动,这无疑会因个人精力不足等原因,造成信息传递与反馈的片面性与滞后性。笔者基于群体情感识别的课堂教学评估研究,采用智能视频技术对学生课堂表情进行分析,教师在教学过程中便能够实时地了解学生对于知识点的理解与掌握情况,以把握教学过程,调整教学进度。     

基于深度学习模型的自发学习表情识别方法研究

课堂教学环境中,面部表情自动识别是获取学习者情绪状态的重要方式。针对传统方法提取特征不全面、融合特征维度较高等问题,提出一种融合局部与全局特征的学习表情自动识别方法。该方法提取并融合表情图像的局部几何特征、KPCA降维的CLBP全局浅层纹理特征和CNN全局深度网络特征。此外,还构建一个全新的自发学习表情数据库,将课堂学习中的情绪分为困惑、快乐、疲倦、惊讶和中性等5种类型,用于CNN模型的训练。对比实验表明,该方法的识别正确率在CK+库、中国情绪图片系统和自发学习表情数据库中分别达到96.3%、86.7%和95.6%,高于传统的面部表情识别方法。该方法能够有效获取课堂中学生情绪变化,帮助教师准确全面地掌握班级学生的整体情况,促进课堂教学质量的提高。     

基于深度学习的课堂表情识别研究

学生的课堂表情常常反映了学生对知识的理解和掌握情况,这对分析学生的学习状态是非常有帮助的.然而,这些微妙的表情变化往往不能被及时发现和引起关注.鉴于此,作者构建了深度学习标签识别模型,利用采集的课堂图像,实时捕捉每个学生的课堂表情,并分析学生的表情特征,对表情特征进行标识和分类,从而为线下、线上教学提供有价值的教学反馈...     

一种机器视觉的人脸表情识别检测系统

针对目前老师无法及时发现学生在课堂上走神、不认真听讲的现象,以及课堂教学质量和效率较低等问题,提出了一种基于机器视觉技术的人脸表情识别检测系统。通过VS与OpenCv开发的人脸表情识别算法,对获取到的学生面部表情图像进行预处理,经过阈值分割处理后得到面部表情二值化图像,结合开闭运算对不同面部的不同表情特征进行形态学的运算,提取到不同面部的表情特征,实现对不同面部的不同表情的特征识别与检测。根据该系统所确定的功能进行设计和开发,确保该系统能够进行对人脸表情的识别和检测,以及确保识别准确性较好,识别速度较快,具有一定的学术研究价值和应用推广价值。     

利用MAX plusⅡ软件,提高数字电子技术课教学效率

随着高等教育改革的进一步深化,许多课程的理论教学学时都不同程度地压缩了.如何在有限的学时内让学生掌握所学知识,是每个教师所面临的新问题.论文主要介绍了在数字电子技术课程的课堂教学中,引入MAX plusⅡ软件,利用其方便、强大的仿真功能,帮助学生理解课程中的难点和重点,从而提高课堂教学的效率.     

基于局部特征聚类损失和多类特征融合的面部表情识别

在真实世界中,每个个体对表情的表现方式不同.基于上述事实,文中提出局部特征聚类(LFA)损失函数,能够在深度神经网络的训练过程中减小相同类图像之间的差异,扩大不同类图像之间的差异,从而削弱表情的多态性对深度学习方式提取特征的影响.同时,具有丰富表情的局部区域可以更好地表现面部表情特征,所以提出融入LFA损失函数的深度学习网络框架,提取的面部图像的局部特征用于面部表情识别.实验结果表明文中方法在真实世界的RAF数据集及实验室条件下的CK+数据集上的有效性.     

基于面部表情的学生课堂专注度评价研究

本文将表情识别技术应用于课堂教学,建立了一个基于面部表情的学生课堂专注度评价系统,可以给教师提供更加准确和实时的教学评价。首先使用局部二值模式（Local binary patterns,LBP）和局部相位量化（Local Phase Quantization,LPQ）提取图像特征,其次将其融合成为一个新特征并送入支持向量机（Support Vector Machine,SVM）分类器进行表情识别,最后计算专注度得分,并进行学生课堂专注度评价。通过实验,实验结果证明使用该算法进行学生课堂专注度评价是相对可行的,可以为教师的教学评价提供一个客观公正的依据。     

隐马尔可夫模型在学习系统信息挖掘中的应用

根据建构主义学习理论,认知思维是一个反复、渐进的过程。为了解和跟踪学生对知识点掌握的程度,以数据库课程SQL在线测试系统为例,使用隐马尔可夫模型建立学习模型。通过对学习反馈信息进行解码,挖掘和发现隐藏的状态转移信息。实验结果表明,模型揭示的状态转移信息更好地帮助教师了解学生对知识点的掌握程度。     

多角度观察学生的学习行为探索有效的课堂教学策略

有效的课堂教学策略,应注重学生的个体差异,使每个学生都能得到充分的发展。那么,怎样探索有效的课堂教学策略呢？教师在课堂教学中通过对学生学习行为的具体表现的观察,特别是对学生的学习态度、学习方法以及相关的情景目标的感受程度等进行即时或历时观察,对探索有效的课堂教学方式和策略显得尤为重要。教师如何观察学生的学习态度和学习方法,且及时调整自己的教学方式和策略呢？笔者认为,教师应在课堂上多角度地观察学生的学习行为。     

融合信息技术, 改变小学英语课堂沉默现象 ——以4A Unit 6 At the snack bar(Story time)为例

虽然现今小学英语课程改革开展得如火如荼,但纵观现有课堂,大部分都呈现出表面热闹、学生实则消极沉默的现象.统计表明,随着年级的升高,学生参与课堂学习的积极性呈下降趋势,表情呆滞、默不作声的学生逐渐增多.究其原因在于:一是学生主动沉默.学生在课堂上无法跟上教学节奏,无法及时掌握教师新授的知识,表现为教师提问学生无应答.二是...     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.