图书馆情报学主要研究方法:了解、选择及使用

[目的/意义]研究方法在学术研究中发挥着至关重要的作用。确认图书馆情报学领域主要的研究方法，并对它们进行了解熟悉，以在开展研究时能合理选择、灵活使用，确保研究质量。[方法/过程]对近2 000篇图书馆情报学领域的研究文献以及相关研究方法论文进行内容分析，在此基础上对研究方法的类分命名、图书馆情报学界主要的研究方法的确定、特点和使用注意事项进行介绍和讨论。[结果/结论]研究方法应以数据收集法而不是数据分析法命名。图书馆情报学领域常用的研究方法包括实验法、问卷法、理论研讨法、内容分析法、访谈法和书目计量法，每种方法都有各自的特点。因而在选择使用时，既应根据具体研究课题及研究方法之特性，也要考虑使用注意事项，并尽量在同一研究中采用两种或更多的方法，以扬长避短，更有效地展开研究。     

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。     

Evaluating the international dimension in an undergraduate curriculum by assessing students’ intercultural sensitivity

This formative, outcome-oriented, theory-based evaluation research study assessed the effectiveness of requiring an international (‘I’) course by measuring students’ intercultural sensitivity (IS) at the start and end of a semester. Findings revealed that students’ IS scores did not change regardless of the type of class in which the student was enrolled and were not significantly different based on gender, age, ethnicity, undergraduate classification, or number of ‘I’ courses taken. There were significant differences in IS based on religion, traveling outside the US, participating in a study abroad course, and the number of cultural events in which the student had participated. Regression analysis confirmed that religious affiliation and number of times traveled outside the US were significant predictors of IS. This study is an example of the use of theory-based evaluation in an educational system and provides important insights into what experiences affect college students’ IS.     

Digital Module 16: Longitudinal Data Analysis

In this digital ITEMS module, Dr. Jeffrey Harring and Ms. Tessa Johnson introduce the linear mixed effects (LME) model as a flexible general framework for simultaneously modeling continuous repeated measures data with a scientifically defensible function that adequately summarizes both individual change as well as the average response. The module begins with a nontechnical overview of longitudinal data analyses drawing distinctions with cross-sectional analyses in terms of research questions to be addressed. Nuances of longitudinal designs, timing of measurements, and the real possibility of missing data are then discussed. The three interconnected components of the LME model—(1) a model for individual and mean response profiles, (2) a model to characterize the covariation among the time-specific residuals, and (3) a set of models that summarize the extent that individual coefficients vary—are discussed in the context of the set of activities comprising an analysis. Finally, they demonstrate how to estimate the linear mixed effects model within an open-source environment (R). The digital module contains sample R code, diagnostic quiz questions, hands-on activities in R, curated resources, and a glossary.     

Digital Module 05: Diagnostic Measurement—The G‐DINA Framework https://ncme.elevate.commpartners.com

In this ITEMS module, we introduce the generalized deterministic inputs, noisy “and” gate (G‐DINA) model, which is a general framework for specifying, estimating, and evaluating a wide variety of cognitive diagnosis models. The module contains a nontechnical introduction to diagnostic measurement, an introductory overview of the G‐DINA model, as well as common special cases, and a review of model‐data fit evaluation practices within this framework. We use the flexible GDINA R package, which is available for free within the R environment and provides a user‐friendly graphical interface in addition to the code‐driven layer. The digital module also contains videos of worked examples, solutions to data activity questions, curated resources, a glossary, and quizzes with diagnostic feedback.     

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.     

略论现代体育教学过程中学生创新能力的培养

体育与健康课程教学以“健康第一”为核心，以全面提高学生素质为目标，是培养学生创新能力的重要环节。创设体育课堂教学的民主协作氛围，保障学生心理的自由和安全，构建以人为本，以动机、兴趣、情感、意志为基本内容的激励体系，为培养和发展学生的创新能力提供良好的心理环境。     

新时期我国竞技体育可持续发展的对策研究

在献研究和实际观察的基础上，从观念的转变、竞技体育人才的培养、“科教兴体”战略的实施、举国体制的完善、项目的布局等5方面概括和分析了新时期我国竞技体育的可持续发展对策，为我国竞技体育的发展提供参考。     

运动心理训练现状与发展动向分析

采用文献分析、调查研究等方法，通过对中外运动心理训练现状和发展动向的研究，为我国教练员和运动员提供了运动心理训练的有益信息。     

对"竞技运动教材化"的思考

通过对新的竞技运动概念的认识和思考 ,认为竞技运动教材化 ,将会给学校体育 ,尤其是高校体育带来一个新的视野。并认为在学校体育课程教材内容体系中存在着阶梯性和逻辑性关系 ,也存在着非阶梯性和非逻辑性关系。