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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.
综合素质评价的提出是希望中小学通过对学生发展状况的观察、记录和分析,发现学生已经具备的个性特点,并提供适切的学校教育,以实现学生德、智、体、美、劳的全面发展。各学校只有根据实际情况优化和完善评价方案,才能发挥综合素质评价的重要意义。文章从家庭文化资本的视角对实践学校综合素质评价指标进行了描述性统计,分析了不同学校的学生对指标关注度的差异;同时,通过家庭文化资本指标与综合素质评价指标的相关性分析,发现家庭文化资本中的教育程度、职业地位和政治面貌对综合素质评价指标都有显著影响,并指出实践学校进一步完善目前的综合素质评价体系的可为之处。文章从实践应用研究的视角对综合素质评价指标体系的科学性进行了探讨,有助于推进综合素质评价指标体系的完善。  相似文献   
4.
教育信息化快速发展,推动传统面授课程向在线课程演进。探索对在线课程建设效果的评价体系,已成为高校课程改革的重点工作。在线课程评价不能套用传统线下课程评价方法。多元化的评价主体、客体、在线课程内容的特殊性等因素的交叉影响,在线平台数据化的应用,都使课程评价复杂化。文章尝试构建高校在线课程的多元评价体系模型,以期促进高校课程改革。  相似文献   
5.
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   
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.
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   
9.
In India, more than 276 million children and youth were out of school for extended periods since March 2020 due to school closures in response to COVID-19. A key challenge has been how to measure the impact of responses to continuity of learning both to ensure more effective responses in the event of further disruptions, but also to help the education community conceptualize more creative and effective approaches to learning, through blended and flexible approaches. This study reflects on the findings from a UNICEF survey targeting parents and adolescents across 6 states in India, and identifies lessons learned for addressing learning inequities during future school closures. We focus on measuring three key variables – access to technology, their utilization, and perceived learning for different profiles of children. As students began learning from home, technology access rates in households were initially used to determine the estimated maximum reach of different distance learning modalities during school closures. Beyond access, we find significant variations in adolescents’ use of technology for learning purposes and their perceptions of learning, linked to the type of remote learning modality, gender, location and type of school. We discuss the implications for government strategies and policies to ensure better utilization of technologies which are available in households and to address equity gaps in learning opportunities.  相似文献   
10.
在21世纪基础教育课程改革的推进过程中,义务教育化学课程标准的“评价建议”逐渐呈现出新的特点,学业评价及命题实践也随之发生了令人振奋的新变化。为贯彻落实《中国教育现代化2035》的新精神,《义务教育化学课程标准(2011年版)》的修订工作已经启动,广大初中化学教师对构建核心素养导向的初中化学学业评价及命题的新制度、新体系充满新的期待。  相似文献   
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