Breaking Down Barriers for Student Parents and Caregivers with Family-Friendly Library Spaces

Abstract

In 2016, J. Murrey Atkins Library at the University of North Carolina at Charlotte opened a reservable study room where student parents and caregivers can study with their children on campus. In 2018, the library opened a second family-friendly study room to meet the needs of our growing campus community. To inform the room design, the library conducted a mixed methods research study that included a user survey, an examination of room reservation and usage data, and one-on-one user interviews. This paper focuses on the user-centered design process used to inform the development of the second, family-friendly, library study room.     

Where do you come from,where do you go? Assessing skills gaps and labour market outcomes for young adults with different immigration backgrounds

Using PISA and PIAAC data from twelve OECD countries, we examine the gap in cognitive skills among immigrants and natives and evaluate how those differences have evolved over time. We also consider how demographics, family background and school quality explain the development of cognitive skills of young people with immigrant backgrounds. The results show, first, that some convergence in skills occurs between second-generation immigrants and natives over time. Second, demographics, family background and school quality variables all contribute to the achievement gaps across different groups.     

面向幼儿发展的表现性评价实践研究

本研究采用表现性评价,对x幼儿园大班一个班级39名幼儿进行为期一年的发展性评价,在真实情境中对幼儿的发展状况作出连续性评价,获悉幼儿不同阶段的发展状况,同时对评价过程进行总结和反思。     

Using the Information Structure Model to Compare Profile-Based Information Filtering Systems

In the IR field it is clear that the value of a system depends on the cost and benefit profiles of its users. It would seem obvious that different users would prefer different systems. In the TREC-9 filtering track, systems are evaluated by a utility measure specifying a given cost and benefit. However, in the study of decision systems it is known that, in some cases, one system may be unconditionally better than another. In this paper we employ a decision theoretic approach to find conditions under which an Information Filtering (IF) system is unconditionally superior to another for all users regardless of their cost and benefit profiles.It is well known that if two IF systems have equal precision the system with better recall will be preferred by all users. Similarly, with equal recall, better precision is universally preferred. We confirm these known results and discover an unexpected dominance relation in which a system with lower recall will be universally preferred provided its precision is sufficiently higher.     

美国竞技体育"霸主"地位之透析

通过查阅文献资料、访问调查、数理统计等方法 ,分析了美国参加奥运会以来的实力表现 ,在此基础上 ,对导致美国竞技体育霸主地位的因素——世界政治格局变化、西方文化精神、美国的社会分层结构、黑人的先天优势、高校竞技体育、发达的职业体育、科学化训练等进行了全面的论述 ,以为我国的竞技体育决策部门提供参考。     

辽宁省专业运动队文化教育状况及对策分析

采用文献资料法、问卷调查法、座谈访问法、数理统计法 ,对辽宁省专业运动员的自然情况、文化教育的需求情况、教练员以及运动员对文化教育重要性和迫切性的认识等情况、运动队的领导、一般干部进行了调查。经分析发现辽宁省专业运动队文化教育存在五个方面的问题 ,针对存在的问题提出解决的对策 ,这对于加强辽宁省专业运动队文化教育、提高运动员的科学文化素质具有一定的实践价值。     

重视信息反馈办好《实用乡村医生杂志》

依据系统科学基础理论探讨科技期刊信息传播中读者信息反馈的重要意义及其作用。简介在编辑工作实践中树立读者意识，注重读者信息反馈，使刊物的传播效果达到优化的做法与体会。     

性别、体质量与学生体育成绩的成因探讨

以 2 0 0 1年全校初一新生为研究对象 ,通过对其性别、体质量、体育成绩的分析 ,科学阐述性别、体质量这2项因素与体育成绩的成因关系。结果表明 :性别、体质量对体育成绩的影响在统计学上具有非常显著和显著性的差异 (P <0 0 0 0 1,P =0 0 0 2 4)。女生成绩明显优于男生 (女生 =75 83± 10 71,男生 =67 72± 10 51) ,体质量位于中等和中上者的学生成绩相近 ,2组均优于上等组 (中等组 =74 2 4± 10 58,中上组 =73 87± 12 54,上等组 =68 60± 10 82 )。     

图书馆馆藏文献资源评价：层次分析法应用的理论研究

在分析文献资源的特征的基础上,以大学图书馆为例,研究了层次分析法实际应用的客观环境、评价目标、评价模型的厘定以及评价方法。     

A Corpus-Based Learning Method of Compound Noun Indexing Rules for Korean

In Korean information retrieval, compound nouns play an important role in improving precision in search experiments. There are two major approaches to compound noun indexing in Korean: statistical and linguistic. Each method, however, has its own shortcomings, such as limitations when indexing diverse types of compound nouns, over-generation of compound nouns, and data sparseness in training. In this paper, we propose a corpus-based learning method, which can index diverse types of compound nouns using rules automatically extracted from a large corpus. The automatic learning method is more portable and requires less human effort, although it exhibits a performance level similar to the manual-linguistic approach. We also present a new filtering method to solve the problems of compound noun over-generation and data sparseness.