大学生参与休闲体育行为意向模式研究

探讨影响大学生参与休闲体育行为意向的因素,采用问卷调研法对354名大学生进行测量,将影响大学生参与休闲体育的因素,运用计划行为理论与线性结构方程式统计分析,找出影响大学生参与休闲体育行为意向构面的影响力度。实证结果:态度、主观规范和知觉行为控制对行为意向有直接的显著影响,可以解释其参与休闲体育行为意向的0.37;情感性信念和工具性信念对态度有显著影响,可以解释其参与休闲体育态度的0.22;主体群和次体群对主观规范有显著影响,可以解释其参与休闲体育主观规范的0.35;便利条件和自我能力对知觉行为控制有显著影响,可以解释其参与休闲体育知觉行为控制的0.68。研究提出了提高大学生参与休闲体育的行为意向策略。     

试论不同年龄段女性体育锻炼价值取向

本文以世界卫生组织将女性一生分为7个年龄段为依据，从不同年龄段女性的生理、心理特点出发，探述女性体育锻炼的价值取向。     

对我国体育院校足球专项班学生学习裁判动机的研究

就目前中国足球裁判员队伍建设的热点,把全国部分体育院校足球专项班作为研究对象,通过调查问卷法、个人访谈法,结合图像、资料、数据的统计和分析,对足球专项学生学习裁判动机进行研究。     

重读经典:萨特的《墙》在中国

《墙》是萨特的成名之作,也是受到我国文学界最早关注的萨特的一部文学作品。在我国学术刊物上见到的关于《墙》的评论文章约20篇,这些文章基本上是采用从作品到作者的文学批评方法,即通过对文学作品的分析,来推测作者的创作意图。不过,它们在推测萨特创作《墙》的意图时,却又得出了两种不同的结论。一种认为,《墙》是萨特创作的一部反抗西班牙法西斯政权的写实之作;另一种则认为,《墙》是一部萨特用来阐述他的存在主义理论的哲理小说。而且在如何理解"墙"的象征意蕴上,它们的解释仍然存在着很大的差异。     

高校伙食"营业额区间最佳量"模型

简评目前我国高校伙食经营模式的利弊，结合高校伙食社会化要求，努力探讨适应我国高校伙食的“营业额区间最佳量”模型，并保证其科学性和合理性，该模型并具有较大的普通适用性和使用的便捷性。     

第15届男篮世锦赛中国队失误指标分析研究

对中国男篮在第15届世界男篮锦标赛中的失误数量、方式、区域、时间等方面进行了系统的分析。发现比赛失误次数偏多,传球失误、前锋失误尤为明显。究其原因,除客观因素外,队员责任心、自信心不足也是导致失误的重要原因。     

基于S-O-R框架的政府数据开放平台用户持续使用意愿研究

基于S-O-R框架,探讨了用户政府数据开放平台获取政府开放数据的持续使用意愿问题。以S-O-R为研究框架,融入"心流体验",研究政府数据开放平台的功能和社会属性,以及心流条件因素,共同作用于心流体验,最终影响用户的持续使用意愿的传导机制与路径过程,然后通过实证研究验证模型的合理性,最后得出结论：政府数据开放平台环境刺激和心流条件因素通过用户心流体验正向影响用户持续使用意愿。     

Investigating academic dishonesty among Chinese undergraduate students: does gender matter?

The high rate of academic dishonesty reported among Chinese college students has created challenges for practitioners in both domestic and Western universities. Following two contrasting yet complementary scholarly approaches, this study explored the relative importance of predictors indicative of students’ intention to cheat (moral attitude, subjective norm and penalty enforcement) and of their educational preparedness for academic integrity (integrity engagement) in explaining academic dishonesty, with an emphasis on gender differences. We administered a questionnaire survey to a sample of 2009 Chinese undergraduate students. The results indicated that moral attitude and integrity engagement were the major predictors, that subjective norm accounted for marginal variations of academic dishonesty, and that the influence of penalty enforcement was insignificant. Some gender differences on both the mean score and effect levels of the four predictors were revealed. The effects of grade, year and area of study on academic dishonesty (and particularly their joint effects with gender) were noteworthy. These findings are discussed relative to the results of prior studies and the Chinese context.     

Relating early childhood teachers’ working conditions and well-being to their turnover intentions

High turnover rates of early care and education teachers reduce the quality of education; unsatisfied teachers, suffering from stress or emotional exhaustion, are less equipped to promote children’s development and more likely to leave the classroom. We used data from a national survey of US early childhood educators (n?=?1129) to examine associations between teachers’ working conditions, well-being, and motivation with professional commitment and turnover intentions to move, leave, or remain. Multiple regression analyses revealed that more intrinsically motivated teachers were more likely to report intentions to move over leave, emotionally exhausted teachers were more likely to report intentions to leave, and lower teacher-reported working conditions predicted intentions to move or leave the field over staying. The results suggest that teachers’ well-being and perceived working conditions relate with their intentions to remain at their job or within the field and to their commitment to the profession.     

An empirical investigation of factors influencing the adoption of data mining tools

Previous studies explored the adoption of various information technologies. However, there is little empirical research on factors influencing the adoption of data mining tools (DMTs), particularly at an individual level. This study investigates how users perceive and adopt DMTs to broaden practical knowledge for the business intelligence community. First, this study develops a theoretical model based on the Technology Acceptance Model 3, and then examines its perceived usefulness, perceived ease of use, and its ability to explain users’ intentions to use DMTs. The model's determinants include 4 categories: the task-oriented dimension (job relevance, output quality, result demonstrability, response time, and format), control beliefs (computer self-efficacy and perceptions of external control), emotion (computer anxiety), and intrinsic motivation (computer playfulness). This study also surveys the moderating effect of experience and output quality on the determinants of DMT adoption and use. An empirical study involving 206 DMT users was conducted to evaluate the model using structural equation modeling. Results demonstrate that the proposed model explains 58% of the variance. The findings of this study have interesting implications with respect to DMT adoption, both for researchers and practitioners.