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91.
采用实地问卷调查法,收集马拉松参赛者在运动参与行为、实物购买行为和人口特征方面的统计数据,使用k-means聚类分析将马拉松消费者细分为资深马拉松追求者、普通马拉松爱好者和社交者三个集群。研究表明,马拉松消费将面临以下挑战:泛娱乐性大于竞技性造成资深消费群体流失,赛事体系层级不清晰造成消费者混淆,赛事运营服务不专业拉低消费意愿,其他户外运动兴起导致消费份额分化,马拉松消费者非理性消费观念广泛存在。预测未来马拉松消费行为发展的六大趋势:以重点人群为目标扩大马拉松消费;科学跑马服务助力消费者持续参与赛事;沉浸体验式消费不断升级;建设马拉松产业载体拓展消费空间;社交媒体互动式消费发挥中介作用;5G开启智能马拉松消费时代。  相似文献   
92.
A named professional with responsibility for overseeing and coordinating the educational inclusion of pupils with special educational needs and disabilities has become an important school role in many countries. In England, the SENCO (special educational needs coordinator) became a mandatory role in 1994, and associated mandatory training was introduced in 2009. A questionnaire survey of 618 in-training and actual SENCOs revealed that their motivating interest in becoming a SENCO varied. An exploratory factor analysis of 32 items covering different interests in the role yielded four interest factors in becoming a SENCO: outward-facing factors (‘inclusion’ and ‘high-quality provision’) and inward-facing factors (‘educational and professional development’ and ‘leadership voice and status’). The outward-facing factors were viewed as more important to respondents than the inward-facing factors. Interest factors did not interact with organisational variables, including age group taught and school quality. Nevertheless, younger SENCOs and those engaged in training were more motivated by educational and professional development. SENCOs holding school leadership contracts were more motivated in developing leadership voice and status compared with their classroom teacher peers. Moreover, there was a significant overall difference with women reporting a higher interest than men across all factors.  相似文献   
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94.
Despite increased acknowledgement of the significance of situational factors to engagement, engagement is traditionally seen as a student characteristic. In this study, we investigated to what extent variation in observational measures of behavioral student engagement during seatwork is due to students versus teachers, teacher-student dyads, or situational (i.e., variation in time) effects. Additionally, we studied whether adaptive support during teacher-student interactions contributes to student engagement following that interaction. A cross-classified multilevel analysis of 324 video- and audio-recorded secondary school teacher-student interactions showed that situational factors and error were the strongest source of variability in student engagement. Other than expected, teacher-related and dyad-related variability were limited. Although behavioral engagement after teacher-student interaction was significantly higher than pre-interaction student engagement, higher post-interaction levels were not related to the level of adaptive support provided during the teacher-student interaction. These findings imply that situational factors deserve more attention in engagement research, for example by investigating what situational factors contribute to engagement. For teachers, the time-variant, situation-dependent nature of engagement opens up valuable opportunities to actively design optimal learning situations.  相似文献   
95.
Aspect-based sentiment analysis aims to determine sentiment polarities toward specific aspect terms within the same sentence or document. Most recent studies adopted attention-based neural network models to implicitly connect aspect terms with context words. However, these studies were limited by insufficient interaction between aspect terms and opinion words, leading to poor performance on robustness test sets. In addition, we have found that robustness test sets create new sentences that interfere with the original information of a sentence, which often makes the text too long and leads to the problem of long-distance dependence. Simultaneously, these new sentences produce more non-target aspect terms, misleading the model because of the lack of relevant knowledge guidance. This study proposes a knowledge guided multi-granularity graph convolutional neural network (KMGCN) to solve these problems. The multi-granularity attention mechanism is designed to enhance the interaction between aspect terms and opinion words. To address the long-distance dependence, KMGCN uses a graph convolutional network that relies on a semantic map based on fine-tuning pre-trained models. In particular, KMGCN uses a mask mechanism guided by conceptual knowledge to encounter more aspect terms (including target and non-target aspect terms). Experiments are conducted on 12 SemEval-2014 variant benchmarking datasets, and the results demonstrated the effectiveness of the proposed framework.  相似文献   
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This paper illustrates how theory of change coupled with contribution analysis assisted in delineating the role each aspect of a teacher professional development program contributed to the expected outcomes. Using a mixed methods evaluation based upon the theory of change, data was gathered on 12 teacher leaders over three years. Findings indicated that not only did the teachers continue to develop as leaders over the three year project but also that the interventions designed to provide professional development to the teachers did indeed contribute to the attainment of project outcomes. By combining stakeholders’ theory of change with contribution analysis, evaluators can develop an understanding of program intentions and design an evaluation that enhances the validity of findings.  相似文献   
98.
心理健康问题已成为影响大学生成才的重要因素,借鉴国内外学生心理健康的相关研究成果,在国内外成熟的心理测量量表的基础上,通过制定高职学生心理健康测量量表,对高职学生心理健康状况进行了试测和分析。将高职学生的心理健康问题归纳为自信心不足、人际关系不协调、自我调控失灵等三个方面。  相似文献   
99.
培养创新型法律人才是我国法学教育的首要任务。传统的封闭教学模式不能满足创新型法律人才培养的需要,现行实践教学存在的不足又制约其培养功能的发挥,因此,应在明晰法学教育培养目标的基础上,树立"全程"实践的教学观念,通过精心设计实践教学体系、改善教师队伍结构、丰富实践教学形式、完善实践教学评价体系等路径,实现重构法学实践教学体系的目的。  相似文献   
100.
现代服务业的发展是经济成长的主要动力.本文根据多元统计分析方法,对我国31个省市地区2009年统计数据进行因子分析,客观地反映我国各地区现代服务业的经济实力,综合因子排名显示出其发展极不平衡,对此提出了几点建议以促进区域产业结构的优化和提升现代服务产业的竞争力,为我国各地区现代服务业发展与决策提供理论依据.  相似文献   
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