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41.
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.  相似文献   
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运用文献资料法,并以协同学理论为研究工具,研究分析了现代体育教学的发展,同时找出现代体育教学发展的促进因子。研究认为:在子系统之间,体育教学发展的内在动力是“协同”和“竞争”,体育教学组织系统与外界因素的“协同”与“竞争”是其发展的外在推动力,序参量的“协同”与“竞争”是其发展的核心动力。  相似文献   
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ABSTRACT

Within the context of Pintrich’s self-regulated learning model, recent reviews of the literature show that motivational factors are the strongest predictors of academic performance. Even so, gaps remain in terms of which goal orientation constructs area most strongly related to performance, and whether academic self-efficacy is involved in such relationships, either as mediator or moderator. This study addresses these gaps using a sample of 478 university students; 409 females aged 17–62 (M?=?23.28, SD?=?7.22) and 69 males, aged 18–47 (M?=?22.5, SD?=?6.31). Analyses revealed that academic self-efficacy (ASE) mediated relationships between both mastery and performance-approach goal orientation with achievement, though the mediation effect was larger for the relationship involving mastery approach goal orientation. ASE did not moderate the relationship between performance-approach goal orientation and achievement. Findings suggest teaching programmes should foster learning environments that encourage persistence and effort when learning, and consider how course delivery and feedback can enhance academic self-efficacy, regardless of the goal orientation adopted by students.  相似文献   
45.
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.  相似文献   
46.
Drawing upon the causal agency theory, this study examined the direct and indirect (via learning approaches) links between positivity and quality of college life (QCL) of business students in a transitioning market, Vietnam. Two studies were conducted to test these relationships using structural equation modeling. Findings from study 1, based on a sample of 428 business students, showed that positivity was positively related to QCL. Further, deep learning approaches mediated the relationship between positivity and QCL. Findings from study 2, based on a sample of 416 business students, reconfirmed the role of positivity in QCL. However, the indirect relationship between positivity and QCL was not significant, demonstrating that surface learning approaches did not mediate the relationship between positivity and QCL. The findings contribute to the literature on positivity in higher education by confirming the overarching role that positivity plays, directly and indirectly (via deep learning approaches), in QCL.  相似文献   
47.
ABSTRACT

Despite the sustained growth in journalism as a choice of degree path for young people, our understanding of students’ aspirations and motivations remains relatively underdeveloped. At the same time, journalism careers appear increasingly uncertain, as the industry responds to digitalisation and convergence. In this mixed-methods study – employing 35 interviews and a survey of 837 UK journalism students – we ask what areas of journalism do students aspire towards, how do they feel about their future career prospects, and what is motivating them to study journalism in the first place? We find that intrinsic motivations (calling and talent, dynamic job) prevail over public service ones, with students drawn to soft news beats over hard news. Aspirations are also strikingly gendered, opening up questions of journalism education in this process. We also find that while students articulate an aspirational career in respected media outlets, they are pragmatic about their immediate career prospects. Here, journalism education appears to play a significant role in socialising students towards careers beyond journalism. Findings are discussed in the light of ongoing debates around journalistic socialisation and the future of journalism.  相似文献   
48.
Renting a property via a peer-to-peer platform involves a variety of risks. Humans inherently, subconsciously use facial cues as important shortcuts in making assessments about other persons. On property sharing platforms, such as Airbnb, facial cues can be used in a similar fashion alongside reputational information. According to Dangerous Decisions Theory (DDT), intuitive evaluations of trustworthiness based on faces can bias subsequent assessment of an individual, requiring further information sources to make a more balanced assessment. In this study we apply DDT to demonstrate that evaluations based on perceived facial trustworthiness are overvalued; when combined with reputational measures, such as ‘super host’ status, such assessments are diminished. The study is based on deep learning to classify host faces for a large data set of online accommodation (n = 78,386). The research demonstrates that facial trust cues in online platforms should be treated with caution and must be combined with more objective measures of reputation in order to reduce the effects of overvaluation. The paper concludes with implications for practice and future research.  相似文献   
49.
This study investigates the extent to which university teachers’ beliefs about classroom writing assessment are congruent with their self-perceived practices in English-as-a-foreign-language (EFL) contexts, and what factors contribute to belief-practice inconsistencies. Drawing on data from a survey of 136 Chinese university EFL writing teachers and ten teacher interviews, results showed a degree of belief-practice alignment regarding assessment for learning (AfL) practices that make learning explicit, but belief-practice discrepancies were more salient. AfL practices that empower students to take responsibility in writing assessment were perceived to be more important than assessment of learning practices; however, the reverse was found in teachers’ practice. Impacts of micro-level factors including assessment training, teaching experience, student attributes, meso-level school factors, and macro-level assessment culture are discussed, and implications are drawn.  相似文献   
50.
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