一种改进的用户兴趣模型构建及应用

针对用户浏览的Web页面内容进行用户兴趣挖掘,并采用多元线性回归分析法进行用户浏览行为分析,得到用户兴趣特征矩阵,隐式地创建了用户兴趣描述文件,最后通过基于有效指数的K-M eans聚类算法得到了改进的用户兴趣模型。实际应用表明,该模型能有效地表达用户的兴趣偏好,提高了个性化服务质量。     

NLP技术在中职学校教育中运用的可行性初探

我国中职学校的教育现状不容乐观,学生问题复杂,老师职业倦怠感强烈,传统教育方法在面对中职学生时往往收效甚微,NLP技术作为心理辅导中的新兴技术,在中职教育中有其独特的优越性,运用得好可以起到事半功倍的效果.同时,NLP技术强调激发自我潜能,这正符合中职教育的理念.总体来看,NLP技术适合在中职学校教育中推广普及.     

计划行为理论相关变量测量研究

基于文献综述法,对计划行为理论相关变量测量的视角、维度构成及测量量表进行深入分析,研究发现:情感与认知信念是行为态度测量的重要维度;选择参考群体及细化规范变量是主观规范进行测量的主要方法;行为控制认知测量可划分为自我效能与便利条件两个测量维度。     

股票市场投资者非理性行为研究

本文通过对投资者非理性行为的分析,提出建立投资者教育体系和综合监管机制来有效治理投资者的非理性行为。这对指导投资者正确投资,保护投资者合法权益,防范证券市场风险具有极为重要的理论与现实意义。     

CI设计与高职院校品牌建设

阐释了CI设计中理念标识MI、行为标识BI和视觉标识VI三者的关系,进而把CI设计原理运用于高职院校品牌建设,提出高职院校要创新办学理念,明确办学定位,凸显办学特色;要完善制度建设,加强文化感染,改进管理水平,提高服务能力;要加强视觉设计,加强统一实施,扩大内外宣传,塑造高职院校形象。     

Examining care navigation: librarian participation in a team-based approach?

Objective

This study investigated responsibilities, skill sets, degrees, and certifications required of health care navigators in order to identify areas of potential overlap with health sciences librarianship.

Method

The authors conducted a content analysis of health care navigator position announcements and developed and assigned forty-eight category terms to represent the sample''s responsibilities and skill sets.

Results

Coordination of patient care and a bachelor''s degree were the most common responsibility and degree requirements, respectively. Results also suggest that managing and providing health information resources is an area of overlap between health care navigators and health sciences librarians, and that librarians are well suited to serve on navigation teams.

Conclusion

Such overlap may provide an avenue for collaboration between navigators and health sciences librarians.     

浅谈见义勇为行为的法律界定

见义勇为是中华民族的传统美德,是时代精神的具体体现,是加强社会主义精神文明建设、构建社会主义和谐社会的重要内容。结合我国现行法律、法规,对见义勇为的界定及相关问题进行分析,以此呼吁社会保护见义勇为者的权益,从而更好地促进和谐社会的发展。     

中央、地方政府在解决“三农”问题上的行为差异性分析

中央政府和地方政府在国家行政系统中处于不同的地位 ,具有不同的权限和管辖范围 ,性质和职能具有差异性。在“三农”问题解决上两者的行为追求、行为范围、行为条件是有较大差异的     

智能化环境中基于学习分析的学习行为优化研究

学习环境的智能化已成为主流趋势,如何合理运用学习分析技术挖掘并分析其中的学生学习行为数据,优化学生学习行为、激发其学习主动性,是在线教育领域值得关注的课题。为此,基于对学习行为文献的分析,从数据采集与存储、行为分析、反馈与提醒、智能化行为优化、智能引擎等五个方面,构建了学习行为优化模型,并将模型运用于湖南S大学《信息技术与课程整合》课程的智慧教学实践中,依托智慧教学平台获取并分析学生学习行为数据,再针对具体情景采取合理的学习行为优化措施。研究结果表明,经过这一优化,不仅有效提升了学生认知维度的学习成绩、强化了互动维度的学习互动;而且提高了时效维度的学习任务完成率、强化了参与维度的学习积极性和参与性。     

A small-scale randomized efficacy trial of Carescapes: Enhancing children’s social development in child care homes

The quality of the child care environment and caregiver practices can potentially have significant, lasting impact on children’s social development. This study involves the development and a small-scale efficacy trial of the Carescapes program, a video-based training program that focuses on promoting positive social development in young children attending family child care. Fifty-seven caregivers who provided child care in their homes were randomly assigned to immediate intervention or waitlist control groups. Random coefficients analyses showed significant increased use of effective behavior management practices and decreased overall children’s problem behavior for the intervention group. A mediation model demonstrated that increases in effective behavior management practices were associated with decreases in problem behavior. A medium intervention effect was found for caregiver’s monitoring and a small effect for use of positive attention. These effects declined 5 months following the intervention. Implications for future efficacy and effectiveness studies in family child care settings that involve strategies to facilitate maintenance are discussed.