Debiaser for Multiple Variables to enhance fairness in classification tasks     

《Information processing & management》2023,60(2):103226

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   

Artificial intelligence implication on energy sustainability in Internet of Things: A survey     

《Information processing & management》2023,60(2):103212

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   

Exploring an intervention’s impact on everyday school activities     

Marianne Björn  Idor Svensson 《Support for Learning》2021,36(1):5-19

The focus of this paper is on a group of pupils with reading and writing difficulties who have been participating in an intervention study using assistive technology. That intervention study contained supervised training sessions with reading and writing tasks using an iPad with special supportive applications. The current study is a qualitative investigation of whether there has been any transfer from the intervention, to the pupils’ everyday school activities. Interviews with pupils and their teachers and observations during classroom lectures have been used to collect data. The results show that the pupils were positive to the assistive technology (the applications on the iPads), they found the apps easy to learn how to use and they appreciated the benefits they could give. Even so, only a few of the pupils had found use for and continued to use the tools after the intervention period finished. Possible reasons are that when the novelty wore off, students reverted to their usual study habits and that older students with many teachers and different classrooms were less able to adapt to using the apps. To improve transfer, it is suggested to introduce assistive technology earlier to students, in the younger grades, before study habits have been formed and to inform teachers about the use of AT in the classroom, including what is available and how it can benefit students.  相似文献   

Ghost writer in the machine: the politics of determining the machinic/expressive functions of software     

Daniel M. Sutko 《传播与批判/文化研究》2018,15(1):18-34

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《左传》的文本之争与文本流变     

郭彩萍  李金荣 《图书馆论坛》2020,(6):128-135

《左传》是我国首部以编年为次序、以鲁国十二公为传主,系统记述春秋战国时期历史,对中国文化产生了巨大影响的文史作品。文章在概述《左传》文化价值的基础上,梳理了两千多年来关于《左传》文本与作者的主要学术争论,甄别《左传》流变过程中的22个关键文本。  相似文献   

Preservice teachers perspectives and experiences teaching personal and social responsibility     

K. Andrew R. Richards  Jennifer M. Jacobs  Victoria Nicole Ivy  Michael A. Lawson 《Physical Education & Sport Pedagogy》2020,25(2):188-200

ABSTRACT

Background: Pedagogical models have become an established component of physical education over the past several decades. One such model, the Teaching Personal and Social Responsibility model, has gained momentum in practice and research, though little is known regarding its use in preservice teacher training. The model follows a flexible format focused on teaching life skills (e.g. leadership) that can be applied in all lived ecologies. Occupational socialization theory provides insight into the pretraining and teacher education experiences of preservice teachers that shape their understanding and practice of physical education and associated pedagogical models.

Aims: The purpose of this study was to understand the influence of a sequence of methods courses and early field experiences on U.S. preservice teachers’ understanding and implementation of the teaching personal and social responsibility model with youth from a community affected by poverty.

Method: This study took on a phenomenological and social constructivist approach. Ten preservice teachers (9 males, 1 female) took part in the study. The participants were an average age of 22.10 years old (SD?=?4.38) and seven identified as White and three as Black. Each participant was enrolled in methods and early field experience coursework that provided scaffolded training in primary education in a community affected by poverty. Preservice teachers team-taught groups of 10–15 children twice a week along with one day committed to on-campus reflection. Data collection included autobiographical essays, critical incident reports, reflective journals, non-participatory observations and field notes, and semi-structured interviews. Data were analyzed deductively through the lens of occupational socialization theory, and inductively as theory divergent trends were sought. Open and axial coding was completed with member checking throughout, resulting in a final set of themes and subthemes.

Findings: The preservice teachers initially struggled to connect with their students due to conflicting backgrounds, but the teaching personal and social responsibility model guided the relationship-building process. As the model was continuously utilized, more empathy and care were shown towards the children. Preservice teachers felt there was a lack of progression in positive behaviors but were able to empower youth and felt that the model was culturally relevant. Overtime, the students began to appreciate the affective domain despite the challenge of working in a community affected by poverty through frustration towards the larger system limiting any potential progress was present.

Conclusions: Subjective theories transitioned to include relationship building and life skills learning, likely because of the extended field experience and faculty support. The preservice teachers desire to connect with and teach the students well displays the connection between models-based practice and positive relationships. Preservice teachers’ knowledge of their students was limited as it was based on secondhand knowledge of youth, teacher educators, and school staff. Evidence indicates some cultural responsiveness development though there were also elements of a deficit model due to white privilege and class differences. Further work explicitly integrating a culturally relevant approach and social justice in teacher education programming should occur.  相似文献   

体育与健康的研究综述     

张朝翔 《当代体育科技》2020,(11):10-11

全民都获取全面的健康是能否成为强国的重要标准之一,是"以人为本"的基本体现。在健康中国行动的背景下,国家越来越重视以体育健身来促进人民的健康发展,也相继出台了一系列关于全民健康相关的文件和纲要。本文通过对国内国外研究现状进行了分析,通过对体育健康的梳理,了解体育健康目前发展现状,分析不足之处,为体育健康在以后的界定打下基础。  相似文献   

浅谈田径训练方法的特点及其新趋势     

侯珏文 《当代体育科技》2020,(11):52-52,54

与其他的体育运动项目相比,田径运动的历史要悠久许多。在田径运动项目中,成绩高低与田径训练中使用的训练方式有着很大的关联,同时田径训练方式的使用得当与否对于运动员的心理素质、训练效率、运动负荷等方面的提升有着十分显著的影响。本文就从当前的田径训练方式的特征分析出发,并以此为基础展望了未来田径训练方式的发展新趋势,以期对今后的田径训练方式发展提供相应的帮助。  相似文献   

现代信息技术背景下普通高校课外体育活动创新研究     

管月泉  陈欣 《当代体育科技》2020,(11):120-121

随着现代信息技术的快速发展,"互联网+"这一概念频繁出现在公众视野。同时,,对高校体育事业的发展也产生了不可估量的影响。在《体育发展"十三五"规划》中,再次表明要实施"互联网+体育"战略,要将"互联网+"与全民运动融合到一起。本文在简要分析高校大学生课外体育活动现状基础上,重点探讨了基于手机APP创新普通高校课外体育活动的具体建议。  相似文献   

2016-2017赛季CBA常规赛队伍竞技实力分析     

李雨洁 《当代体育科技》2020,(11):225-226

CBA2016-2017赛季常规赛已经结束,通过数据分析法、逻辑分析法等对20支队伍在常规赛38轮的比赛数据(如攻防效率、主场优势、与季后赛队伍和非季后赛队伍比赛的差异、每节净胜分、逆转能力)进行统计分析。针对中国男篮在攻防效率,球队队员的心理承受能力及外援的引进等方面提出发展对策,旨在为CBA及中国男篮的发展提供理论参考。  相似文献