论法拉比的教育思想

在人类教育思想发展的历史长河中，阿拉伯的教育家有着重要的贡献，而法拉比又是其中的佼佼者。他对教育的论述涉及到方方面面，特别是关于课程理论及道德教育问题，有其独到之处。对他的研究可弥补我国在这个方面研究的空白。     

艾青新时期诗歌创作漫评

艾青是我国现当代文学史上的伟大诗人。如果说抗战时期的创作是艾青的第一座高峰,那么,自上世纪70年代后期到80年代的创作,则是诗人又耸立起的第二座高峰。艾青新时期的诗歌创作,首先以其博大而深刻的思想性、鲜明而强烈的时代精神,表明了诗人所达到的新的高度。善于创造鲜明准确的形象,是艾青新时期诗作的又一鲜明特色。艾青还非常喜欢运用象征手法深化主题。艾青新时期的诗歌创作,在形式上达到了舒卷自如、炉火纯青的境界;在整体风格上,表现出一种化浓为淡、归真返朴的朴素之美。     

AI背景下高校美育教学面临的挑战与对策研究

AI战略之下,美育教学面临哪些挑战?又可抓住哪些机遇?可以采取哪些积极的应对办法?从机制、现状分析着手,通过大量真实的问卷调研与访谈,剖析了国内外AI教育现状,阐述了高校美育教学面临的挑战,提出了美育教学改革的建议及应对策略。     

5G+人工智能技术的勃兴及其对教育的影响

美国、韩国、中国率先部署5G的商业运营,中美之间的贸易博弈实质是核心技术的竞争,尤其是5G主导权之争。随着5G技术的成熟和普及,未来2-3年内,人们的工作、学习将受到全面的冲击和全方位的影响。新时代,人们对教育的全方位需求与技术对人们学习支持的不充分和不平衡之间的矛盾也将愈发突出。5G+人工智能技术场景中数据的融合和学习技术的融合,使得基于5G智能技术的教育应用更加"以人为本"和"立体化",人们的多元教育需求将得到极大的满足。随着用户数据的大量增长和海量级的学习交互需求,大量的深度学习、跨界深度融合、多主体交互与协同以及智能主体的自主操作等智能教育生态需要在新的通讯技术环境中实现,教育在新一轮信息技术革命浪潮中迎来新的机遇与挑战。     

Artificial intelligence and education in China

ABSTRACT

This paper examines the political economy of artificial intelligence (AI) and education in China, through an analysis of government policy and private sector enterprise. While media and policy discourse often portray China’s AI development in terms of a unified national strategy, and a burgeoning geopolitical contestation for future global dominance, this analysis will suggest a more nuanced internal complexity, involving differing regional networks and international corporate activity. The first section considers two key policy documents published by the central Chinese government, which are shown to implicate educational institutions as influential actors in national and regional strategies for AI development, with a significant role in plans to train domestic expertise. The second section outlines three prominent private education companies: New Oriental Group, Tomorrow Advancing Life (TAL), and Squirrel AI. These companies are selected to represent important aspects of China’s development of educational AI applications, including the influence of a well-established private education sector, and a growing interest in international corporate activity. The paper concludes with the suggestion that while central government policy reserves a significant role for education in the national AI strategy, the private sector is utilising favourable political conditions to rapidly develop educational applications and markets.     

基于VCN智能技术的除法精确运算

基于智能VCN的变溢性、可拓性及压缩性等有机结合的技术,本文提出了一种新的数的智能除法精确运算.该运算结果商值的精确位数,是可以任意或无限地确定的,它可以很好地解决了计算机数值分辨率因CPU字长制约造成数字的扰动性问题,如对中国古代数学家祖冲之曾研究圆周密率π值实验数据（π=355/113）除法精确计算PC的数字扰动问题.     

人工智能环境常用工具配置与技巧

利用Python语言开展人工智能研究,Jupyter notebook作为一个Web编辑器,支持运行超过40种编程语言,包括:数据清理和转换,数值模拟,统计建模,机器学习等,本文主要介绍了安装配置参数,以及在windows和linux环境下,远程桌面、文件共享等方面的一些使用技巧和方法,为人工智能环境的搭建提供可以借鉴的经验。     

Clinically applicable artificial intelligence algorithm for the diagnosis,evaluation, and monitoring of acute retinal necrosis

The prompt detection and proper evaluation of necrotic retinal region are especially important for the diagnosis and treatment of acute retinal necrosis(ARN). The potential application of artificial intelligence(AI) algorithms in these areas of clinical research has not been reported previously. The present study aims to create a computational algorithm for the automated detection and evaluation of retinal necrosis from retinal fundus photographs. A total of 149 wide-angle fundus photographs from40 eyes of 32 ARN patients were collected, and the U-Net method was used to construct the AI algorithm. Thereby, a novel algorithm based on deep machine learning in detection and evaluation of retinal necrosis was constructed for the first time. This algorithm had an area under the receiver operating curve of 0.92, with 86% sensitivity and 88% specificity in the detection of retinal necrosis. For the purpose of retinal necrosis evaluation, necrotic areas calculated by the AI algorithm were significantly positively correlated with viral load in aqueous humor samples(R2=0.7444, P0.0001) and therapeutic response of ARN(R2=0.999, P0.0001). Therefore, our AI algorithm has a potential application in the clinical aided diagnosis of ARN, evaluation of ARN severity, and treatment response monitoring.     

从数字画像到数字孪生体:数智融合驱动下数字孪生学习者构建新探

随着AI、5G、物联网、大数据、传感与全息等新兴技术的快速发展,尤其是虚拟现实技术从VR、AR、MR到XR的不断演进,促使数字孪生技术开始走向应用并备受学者关注。其正从制造业、城市管理、医疗服务向社会其他领域不断衍生拓展,并在教育领域呈现出广阔的应用前景。在数智融合驱动下,从“AI+大数据+学习分析”加持下的学习者数字画像,向“AI+5G+XR”与全息技术支撑下的数字孪生学习者的迭代更新,将成为AI赋能教育的一个演进趋势。数字孪生学习者基于“四个关键要素”和“五个基本原则”这一现实前提,遵循刻画学习者画像、仿真学习过程、预测学习发展、生成学习结果和共享学习智慧的生成过程,具有高度仿真、动态映射、虚实共生、迭代进化和智能应用的特征,可为“AI+学习者”呈现更精确的学习过程分析、更精准的学习内容推送、更科学的学习评价与无边界的学习生态;并助力学习者进行学习资源共享、学习行为调整、学习兴趣提高、学习体验改善、学习效率提升。因此,对数字孪生学习者进行前瞻性研究,可为数智融合驱动下的学习变革提供全新的视角与思路。     

午后的独自——评艾云的思想随笔

艾云的思想随笔以“旷野独白”的方式,在审美的心境中,自由地徜徉于此岸与彼岸、时间与空间、理性与欲望、现实与历史之间,给人以深邃的思想启迪和独特的审美享受。