基于微博的非正式学习研究

基于微博的基本特征,初步探究了微博应用于非正式学习的优势,并以新浪微博为例,构建了基于微博的非正式学习模式,为移动式非正式学习提供了依据,也为以后有关的非正式学习研究提供参考.     

¿Usos cotidianos o usos enlatados? Enseñar y evaluar la lectoescritura a sujetos reales y mentes flexibles

En el campo del lenguaje y la lectoescritura, la renovación educativa parece estar situándose en la batalla por el diseño abierto y la evaluación informal. En este artículo se propone un modelo teórico para la lectoescritura flexible que pueda soportar las posibilidades que se abren y evitar los inconvenientes que amenazan a los actuales métodos informales de renovación a los que está dedicado el tema central de este número.     

Changing literacies,changing formations: the role of elicitation in teacher action research with new technologies

As new technologies promise to be an enduring feature of the landscape of teachers’ work, we consider how teachers implicitly bring stories forward into their classroom explorations with new media as a part of their ‘informal learning’. By ‘stories’ is meant specific classroom texts as well as preferred teacher practices with those texts. The article represents a reflection on the methodological role that ‘elicitation’ can play in drawing out teacher thinking during a time of professional change, thinking that would otherwise likely remain embedded, particularly when teachers’ attention is focused forward on innovation in practice. The methodological use of ‘elicitation’ emerged in the first year of an ongoing teacher action research study, in which seven teachers have been involved in a professional development initiative that actively engages teachers in examining changing literacy formations, beginning with the teachers’ own literacy formations. The methodological practice of elicitation borrows from phenomenology, ethnomethodology, narrative research, reader response theories, curriculum theory and psychoanalysis, and emerged as a way to acknowledge the life histories that teachers were bringing to their professional development with new media. We suggest that elicitation can potentially draw out deep and sustaining sources of a teacher’s commitment, as well as resistance, to change. It can help disclose the tensions between commitment and resistance that even teachers who voluntarily undertake to incorporate new technologies into their practice may experience. Within a teacher action research framework, elicitation can also serve to remind teachers (and others) of the value of what they know and are learning, thus contributing to teachers developing a ‘scholarship of practice’ in response to any actual or perceived ‘intensification’ of their work.     

Comparison of Interruption in Relatively Formal and Informal Talk Show Programs

Interruption, as a linguistic phenomenon, can be see everywhere. And talk show programs are common setting for in?terruptions. So in this thesis three questions are addressed as followed: What functi...     

区域第三产业内部行业发展分析——以云南省楚雄州为例

本研究从对区域概念的理解出发,在明确了第三产业划分的基础上,对区域第三产业的涵义进行了探讨。再以云南省楚雄州为例,介绍了楚雄州社会经济概况,分析了其第三产业增加值的变化情况,运用灰色综合关联度分析方法对区域第三产业内部行业对第三产业发展的影响进行分析。分析显示：其他服务业对楚雄第三产业的影响最大,批发和零售业对楚雄第三产业的影响次之,住宿和餐饮业对楚雄第三产业增加值的影响最小。最后,在分析的基础上,提出了楚雄州第三产业发展的建议。     

知识转移视角下复杂产品产学研协同创新管理机制研究

复杂产品协同创新是一项复杂的系统工程,具有研发周期长、系统组成复杂、技术难度和投资风险大等特点,传统管理模式很难满足其产学研协同创新的要求,需要科学、合理的管理机制作为保障。以知识转移为视角,从关系契约管理和非正式网络管理两方面设计了复杂产品产学研协同创新的管理机制,提出关系契约管理和非正式网络管理在复杂产品产学研创新活动中会协同发生作用,能有效促进创新主体间显性知识和隐性知识的转移,保证产学研协同创新活动的顺利进行。     

Education response to COVID 19 pandemic,a special issue proposed by UNICEF: Editorial review

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.     

Data in Motion: Sports as a site for expansive learning

ABSTRACT

Background and Context

Sports and technology are often pitted as being at odds with one another. While there are several educational activities that make reference to sports we seldom see sports used as an authentic context for learning computing.     

Machine learning based system for managing energy efficiency of public sector as an approach towards smart cities

Energy efficiency of public sector is an important issue in the context of smart cities due to the fact that buildings are the largest energy consumers, especially public buildings such as educational, health, government and other public institutions that have a large usage frequency. However, recent developments of machine learning within Big Data environment have not been exploited enough in this domain. This paper aims to answer the question of how to incorporate Big Data platform and machine learning into an intelligent system for managing energy efficiency of public sector as a substantial part of the smart city concept. Deep neural networks, Rpart regression tree and Random forest with variable reduction procedures were used to create prediction models of specific energy consumption of Croatian public sector buildings. The most accurate model was produced by Random forest method, and a comparison of important predictors extracted by all three methods has been conducted. The models could be implemented in the suggested intelligent system named MERIDA which integrates Big Data collection and predictive models of energy consumption for each energy source in public buildings, and enables their synergy into a managing platform for improving energy efficiency of the public sector within Big Data environment. The paper also discusses technological requirements for developing such a platform that could be used by public administration to plan reconstruction measures of public buildings, to reduce energy consumption and cost, as well as to connect such smart public buildings as part of smart cities. Such digital transformation of energy management can increase energy efficiency of public administration, its higher quality of service and healthier environment.     

儿童“日常数学”的研究进展

儿童日常数学经验是儿童正式数学能力获得的基础.近年来,随着人们对幼儿教育生活化理解的日益加深,儿童日常数学经验的获得问题开始引起国内学者的广泛关注,相关研究日渐增多,主要集中在三个领域:什么是日常数学、儿童日常数学能力的发展水平和特点、影响儿童日常数学能力获得的因素.本文拟从上述三方面对国内目前的研究进行小结和梳理.