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1.
This editorial paper presents 11 papers related to the special issue proposed by UNICEF on the Education Response to COVID-19. The COVID-19 pandemic provoked an education emergency of unprecedented scale. At its onset in February 2020, school closures were announced in the worst-hit countries. At the peak of the crisis, 90 per cent of learners worldwide had had their education disrupted. Some learners, especially those from the most marginalised population groups, were put at risk of permanent dropout, provoking long-term and significant negative effects on children’s life-long wellbeing and the socio-economic development of their communities and countries. This special issue, which received contributions from UNICEF staff and various researchers, focuses on the impact of school closures, the effectiveness of remote learning solutions, equity implications, the mitigation of learning loss and notions around re-opening better. Different research perspectives and evidence is gathered to help strengthen policy considerations and future planning. The conclusion emphasizes building on the innovative solutions generated by the response to the crisis to make education systems more resilient, whilst also reinforcing the focus on equity and inclusion so that pre-existing disparities are not exacerbated in the future.  相似文献   
2.
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   
3.
Consensual sexual harassment on Iranian campuses is getting prevalent; however, this phenomenon has not been examined yet. This study contributed to the area and investigated the sexual relationships shapes, the behaviour of Iranian faculty members and female college students, and the consequences of sexual harassment for the victims, even in its consensual form. Hence, the phenomenological qualitative method was applied to explore the experiences of 10 female graduate students. The data were collected through online in-depth interviews due to the COVID-19 pandemic. In line with the theoretical framework proposed by Terpstra and Baker (1986), the interpretive phenomenological analysis revealed three themes of Onset, Sexual treatment, and After effects. According to the results, the basic needs of the females and the professors’ leering seduced the females to enter into sexual relationships. The results also reflected the academic and psychological consequences of sexual harassment on the victims’ future. The findings have some implications for higher education policymakers, university chancellors, and governmental officials.  相似文献   
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Using PISA and PIAAC data from twelve OECD countries, we examine the gap in cognitive skills among immigrants and natives and evaluate how those differences have evolved over time. We also consider how demographics, family background and school quality explain the development of cognitive skills of young people with immigrant backgrounds. The results show, first, that some convergence in skills occurs between second-generation immigrants and natives over time. Second, demographics, family background and school quality variables all contribute to the achievement gaps across different groups.  相似文献   
6.
随着信息技术日新月异、行业形态不断改变、新业态源源不断出现,社会对人才培养也随之提出更高的要求。在开放教育中,综合实践教学虽然处在战略性地位,但是在学习者专业技能培养中,往往只偏重于理论教育,实践技能教育存在流于形式、学习内容陈旧、实践资源缺失等问题,导致人才培养与实际岗位需求脱节。为了适应开放教育的发展趋势,结合当前开放教育综合实践教学中存在的实施不足、教学方式单一和实践基地弱化等问题,提出开放教育综合实践教学模式应以“学分银行”理念为基础,对综合实践教学进行行之有效的改革,以提升其教学质量和有效性。  相似文献   
7.
微时代大学生思政课自主学习享有网络信息带来的便捷,同时也面临网络裹挟的一些干扰。克服这些干扰还存在一些主要障碍,需要在提高学生意识形态的鉴别力、增强自主学习环境的塑造力、提高教师自身网络教育的驾驭力和提升网络学习的保障力等方面下功夫。  相似文献   
8.
[目的/意义] 提升公民健康水平是经济社会发展到一定程度后的必然要求,健康数据协同治理体系的构建有助于从信息科学角度达成这一要求,治理体系需要以国家战略为宏观指导,全方位服务于公民健康水平提升的总体目标。[方法/过程] 通过对《"健康中国2030"规划纲要》文本精神的领会,在分析了各治理主体对健康信息治理需求的基础上,提出一种面向"健康中国2030"战略的健康数据协同治理体系,并针对关键环节提出保障措施。[结果/结论] 协调各层级、各部门与各利益主体的健康数据治理体系构建与保障,有助于在推动国家健康战略目标的同时实现健康数据的社会价值,拓展健康信息学的研究范畴。  相似文献   
9.
随着我国教学体制改革的不断完善,人们愈发的重视到了在实际教学过程中有关教学方法的应用,适当的教学方法应用不仅仅能够在很大程度上帮助教师获得更好的教学效果,同时还能够在根本上提升学生对于高校排球课程的理解。由此,本文拟通过对现阶段高校排球课教学过程中有关异质分组教学的方法应用进行研究,从而探究其实际的使用效果,同时帮助这一教学模式在后续高校排球课程中推广的不断深入,进而促进未来我国高校排球课程的发展。  相似文献   
10.
本文采用文献资料法,视频分析法,专家访谈法,比较分析法和数理统计法等研究方法。对2018年世锦赛中日集体花球啦啦操成套创编进行比较研究,包括三大技术技巧难度(跳步、转体、柔韧与平衡)、连接难度(集体类、技巧类、层次等)、托举与配合(托举、配合)、基本手位等。力图对这些进行定量对比分析、探究,分析中日两国成套动作差异等,以期为国内成套花球舞蹈啦啦队练习的创作和编写提供参考。  相似文献   
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