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1.
Nowadays assuring that search and recommendation systems are fair and do not apply discrimination among any kind of population has become of paramount importance. This is also highlighted by some of the sustainable development goals proposed by the United Nations. Those systems typically rely on machine learning algorithms that solve the classification task. Although the problem of fairness has been widely addressed in binary classification, unfortunately, the fairness of multi-class classification problem needs to be further investigated lacking well-established solutions. For the aforementioned reasons, in this paper, we present the Debiaser for Multiple Variables (DEMV), an approach able to mitigate unbalanced groups bias (i.e., bias caused by an unequal distribution of instances in the population) in both binary and multi-class classification problems with multiple sensitive variables. The proposed method is compared, under several conditions, with a set of well-established baselines using different categories of classifiers. At first we conduct a specific study to understand which is the best generation strategies and their impact on DEMV’s ability to improve fairness. Then, we evaluate our method on a heterogeneous set of datasets and we show how it overcomes the established algorithms of the literature in the multi-class classification setting and in the binary classification setting when more than two sensitive variables are involved. Finally, based on the conducted experiments, we discuss strengths and weaknesses of our method and of the other baselines.  相似文献   
2.
The massive number of Internet of Things (IoT) devices connected to the Internet is continuously increasing. The operations of these devices rely on consuming huge amounts of energy. Power limitation is a major issue hindering the operation of IoT applications and services. To improve operational visibility, Low-power devices which constitute IoT networks, drive the need for sustainable sources of energy to carry out their tasks for a prolonged period of time. Moreover, the means to ensure energy sustainability and QoS must consider the stochastic nature of the energy supplies and dynamic IoT environments. Artificial Intelligence (AI) enhanced protocols and algorithms are capable of predicting and forecasting demand as well as providing leverage at different stages of energy use to supply. AI will improve the efficiency of energy infrastructure and decrease waste in distributed energy systems, ensuring their long-term viability. In this paper, we conduct a survey to explore enhanced AI-based solutions to achieve energy sustainability in IoT applications. AI is relevant through the integration of various Machine Learning (ML) and Swarm Intelligence (SI) techniques in the design of existing protocols. ML mechanisms used in the literature include variously supervised and unsupervised learning methods as well as reinforcement learning (RL) solutions. The survey constitutes a complete guideline for readers who wish to get acquainted with recent development and research advances in AI-based energy sustainability in IoT Networks. The survey also explores the different open issues and challenges.  相似文献   
3.
随着融合教育的不断推进,越来越多的特殊学生能够进入普通学校学习,与正常学生有更多交流与互动学习的机会。但是特殊学生在交往过程中难免面临层层挑战,校园欺凌则是其中最为严重的问题之一。通过梳理分析国内外特殊儿童欺凌的相关研究,为改善我国随班就读特殊儿童的欺凌现状提出建议。  相似文献   
4.
唐宋词真迹今天已很少见,古籍文献特别是唐宋文献对唐宋词真迹的记载,可视为是唐宋词真迹保存的一种方式。文献记载的唐宋词真迹,在校勘、还原、鉴赏方面有一定的价值,如李煜?临江仙?词的创作场景,黄庭坚?念奴娇?词“爱听临风笛”之“笛”、?西江月?词“杯行到手莫留残”之“莫留残”,秦观?踏莎行?词“杜鹃声里斜阳暮”之“斜阳暮”等。词人词作真迹记载,不仅可以据之考察词作初创之面貌,还可以考察词人笔迹,了解其书法水平,并进一步考察词人人品、情趣。  相似文献   
5.
A lot has been written about the lasting implications of the Conservative reforms to English schooling, particularly changes made by Michael Gove as Education Secretary (2010–2014). There is a lot less work, however, on studying the role that language, strategy and the broader political framework played in the process of instituting and winning consent for these reforms. Studying these factors is important for ensuring that any changes to education and schooling are not read in isolation from their political context. Speeches particularly capture moments where intellectual and strategic political traditions meet, helping us to form a richer understanding of the motives behind specific reform goals and where they fit into a political landscape. This article analyses speeches and policy documents from prominent politicians who led the Conservative education agenda between 2010–2014 to illustrate how politicians mobilised a deliberate populist strategy and argumentation to achieve specific educational goals, but which have had broader social and political implications. Concepts from interpretive political studies are used to develop a case analysis of changes to teacher training provision and curriculum reform, illustrating how politicians constructed a frontier between ‘the people’ (commonly teachers or parents) and an illegitimate ‘elite’ (an educational establishment) that opposed change. This anti-elite populist rhetoric, arguably first tested in the Department for Education, has now become instituted more widely in our current British politics.  相似文献   
6.
刘艳东 《天津教育》2021,(6):137-138
初中道德与法治课程要求结合理论知识和实践教学,不仅能对学生的知识结构体系进行构建,还能对学生正确的世界观、人生观和价值观等进行培养。对此,在初中的道德与法治课中,教师应该利用生活化教学对学生开展实际的教学和探索,使学生能够在实际生活中通过对所学知识的运用,高效解决生活中的问题。  相似文献   
7.
随着时代的进步与发展,小学科学早已被学校当成培养学生创新能力、创新思维以及动手能力的一门课程。尤其是把信息技术与小学科学整合起来,既能使教学方式更加灵活、多样,内容更加丰富、充实,也能改变传统小学科学教学模式,激发学生兴趣,唤醒学生的创新意识,为新时代小学生全面发展奠定基础。  相似文献   
8.
周凯 《天津教育》2021,(6):187-188
当前,瑞吉欧教育以其鲜明的教育特色和先进的教育理念风靡全球,越来越多的学前教育工作者把目光转向了瑞吉欧教育模式。瑞吉欧教育的儿童观、教师观、课程观、环境观、合作观等对我国学前教育的发展都有重要的启示意义。本文从瑞吉欧教育模式的特点出发,深入解读其成功的原因,有助于我们在学习瑞吉欧精神的同时,走中国特色学前教育道路。  相似文献   
9.
思想政治教育工作是学校教育任务的重要组成部分,它关系着中小学生人格的塑造、价值观念的构建以及行为习惯的养成,所以这一工作不能忽视。中小学阶段是学生成长的关键时期,这一阶段形成的学习习惯和思想认知将会影响学生一生。学校要采用科学、高效的方法来开展这一工作,以使中小学生拥有良好的综合素养,今后为祖国建设而努力。  相似文献   
10.
当前,学者们在研究高等教育获得的影响因素时,对家庭社会经济地位、同胞数量等先赋性因素的关注较多,而对自我教育期望等自致性因素的关注较少。基于2010—2016年中国家庭追踪调查(CFPS)数据,通过Logistic回归分析和结构方程模型(SEM),本研究发现:家庭社会经济地位和自我教育期望正向影响学生高等教育获得结果,同胞数量负向影响学生高等教育获得结果;此外,家庭社会经济地位和同胞数量还可以通过自我教育期望间接影响学生高等教育获得结果。  相似文献   
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