一种新型课件自动生成技术的研究

课件在当前的教学中扮演着重要的角色,为了实现课件的自动化生成,文章从知识点研究出发,提出了一种新型的课件自动生成技术.首先根据知识点内容的作用将知识点进行分类,续而提出了知识点模式的概念,由此建立了知识点的规则库.根据规则库就可以利用计算机对教材中的知识点进行自动处理,处理后的知识点放入知识点库中,最后根据知识点库来自动生成课件.另外,文中还介绍了知识点库的存储结构.     

面向能力产出的人工智能专业人才培养模式探索与实践

针对人工智能专业本科教学中仍存在以知识点灌输方式为主、错误地用知识点匹配学生能力等问题,提出以新工科教育理念为基础、以能力产出为核心的人工智能专业培养体系,介绍面向能力产出的人才培养改革措施。     

人工智能基础课程的线上教学探索与实践

在分析线上教学优劣势的基础上,根据线上教学平台的特点,提出线上教学基本方案,结合人工智能基础课程特点,从知识点切分、多种互动方式的结合以及在线伴随式评价方面介绍有针对性的课程设计,最后从课堂互动与练习,自主学习、课后作业与实验以及伴随式评价、测验与考试3方面总结经验,说明教学效果。     

《人工智能应用导论》知识图谱构建与应用研究

随着人工智能技术引发新一轮科技革命和社会进步，高职《人工智能应用导论》课程在众多院校相继开设，对其开展知识图谱的构建应用研究逐渐兴起，然而知识图谱的构建需要领域专家共同探讨、手工构建，十分严谨而繁琐，人工智能知识更新又较为快速，目前高职《人工智能应用导论》知识图谱的构建较为缺乏。本文借助机器学习和自然语言处理技术分别对《人工智能应用导论》课程文本资源进行实体识别和关系抽取，接着进行知识融合，最后基于Neo4j图数据库可视化展示并进行知识点推理。实验结果表明：构造后的课程知识图谱涵盖了《人工智能应用导论》课程所有知识点及其关系属性，助力开展知识点学习推理和学习路径推荐研究。     

以知识点为中心的智能教学系统的研究与构建

在深入研究智能教学系统知识表示方法的基础上,提出了一个以知识点为中心的智能教学系统构建方案,采用知识点作为教学资源的组成单位,通过知识点间的联系来构建知识体系,并结合Web挖掘、人工智能、模糊理论等技术,实现网络教学的智能教学策略。     

人工智能教育课程的教学探索与实践

如何在中小学人工智能教育课程中培养学生的信息技术核心素养,激发学生的创新意识,培养学生自主实践能力,是一个值得深入研究的问题。Python提供了安装第三方扩展库的功能。各种不同的扩展库能广泛应用于人工智能研究,因此Python成为人工智能研究与开发的首选语言。在教学实践中发现,基于开源硬件Arduino与Python的综合项目有助于人工智能创新教育理念的推广。从Python的第三方扩展库出发,通过思维建模设计,开展Python与人工智能结合的项目式教学,实现学生思维训练的有效提升,培养学生多元化的计算思维,提高学生综合素质。本文以设计一个环境数据采集系统为例,阐述基于Arduino的与Python在人工智能创新教育中的应用与在中小学编程教育中的优势。     

人工智能时代基于智适应的个性化学习模式研究

因材施教一直是个性化学习追求的价值取向,但如何解决传统学习模式忽略学习者主体性、差异性和发展性,是个性化学习长久以来面临的挑战.作者提出,基于人工智能的智适应学习为解决上述问题提供了新的参照.智适应学习以人工智能为技术支持,以智适应学习系统为依托,将纳米级的知识点作为学习内容形态,对学习者进行知识点诊断、学习资源推送与...     

考试系统试题库及组卷方案的设计

在自动考试系统的题库建设中,试题库设计及组卷策略是关键环节。试题库中试题的参数,不同的试题库不尽相同,这里定义为:试题=(编号、题型、题干、答案、分值、试题难度、区分度、知识点、使用次数);试卷=(标题、考试时间、考试日期、总分值、题型、试卷难度、试卷区分度、知识点、曝光度)。     

人工智能系列课程研究

在对人工智能学科的重要性进行分析的基础上,介绍首都师范大学精品课程人工智能原理及其相关系列课程的教学内容和知识点;总结该课程的特点和教学目标。同时,对该门课程针对不同教学对象采取的不同层次、不同内容、不同深度和不同教学手段进行探索,提出人工智能课程差别化的教学模式。     

人工智能相关专业中语音信号处理课程教学改革探讨

分析人工智能相关专业开设的语音信号处理课程教学存在的问题,提出该课程的教学改革思路,在保持人工智能相关专业课程体系基本不变的情况下,对课程知识点进行梳理和规划,从理论课、实验课、考核方式等几方面阐述实施方案,最后介绍教学改革效果。     

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.