高校学生用户开放存取知识需求分析

从国内高等院校学生用户知识需求的角度出发,通过问卷调查获得数据,采用常规统计与形式概念分析相结合的方法,对高校学生用户开放存取知识需求进行综合分析。结果显示,开放存取的检索效率是高校学生用户共同关注的核心焦点;关注文献的传统形式仍然是部分高校学生用户获取知识过程中的思维定势;经济成本在高校学生用户中受关注程度并不突出;学历层次和研究层次是影响高校学生用户间知识需求差异的主要因素。通过对高校学生用户开放存取知识需求特征的揭示,可从用户知识需求的角度为国内高校开放存取的相关理论研究和实践应用提供借鉴。     

Teaching Inferential Statistics to Social Work Students: A Decision-making Flow Chart

Given that social work research courses are typically built on modernist principles of teaching and content, it is not surprising that the majority of social work students dread these courses. Few attempts have been made to better align the modernist content of quantitative research with the postmodern philosophy and values inherent in current social work. This article presents a decision-making flow chart in conjunction with a problem-based learning framework so that students can be self-directed in the process of determining which inferential statistic to use when given a case example.     

Measuring Effectiveness in a Virtual Library

Measuring quality of service in academic libraries traditionally includes quantifiable data such as collection size, staff counts, circulation numbers, reference service statistics, qualitative analyses of customer satisfaction, shelving accuracy, and building comfort. In the libraries of the third millennium, virtual worlds, Web content and remote customer populations mean that traditional measures of quality service are no longer complete. Applying methods to quantify effectiveness is vital to future success, and is a necessary precursor to examining quality of service. This case study of a small, virtual academic library, created to serve a non-traditional student population, faculty, and community, illustrates the use of measures such as the saturation rate of student population, the percentage of bibliographic sessions and orientations compared to number of courses offered, and Web site traffic patterns. As library services are affected by factors such as self-sufficient customers, declining physical collections, staff cuts, and increases in virtual traffic, all types of academic libraries may find it useful to implement the relatively uncomplicated data analysis explored in this article, in addition to established methodologies.     

An Exploration of Indexed and Non-Indexed Open Access Journals: Identifying Metadata Coding Variations

The intent of this investigation was to learn what factors may have contributed to low usage of a small set of reputable open access scholarly journals, as evidenced in graduate student reference lists. Inquiry into differences among open access sources referenced between 2005 and 2014 revealed that non-indexed journals were being used notably fewer times than their commercially indexed counterparts. A comparison of HTML source code between indexed and non-indexed journals illustrated that certain metadata and other coding features may have affected the visibility of non-indexed journal content. The study suggests to librarians the presence of less visible empirical literature on the web and to smaller, independent academic publishers, the need to apply better quality metadata and optimization strategies to their open access journal content.     

Statistical Techniques Employed in AERJ and JCP Articles from 1988 to 1997: A Methodological Review

The authors of the present methodological review investigated the patterns of statistical usage and reporting practices in 756 articles published in the American Educational Research Journal (AERJ) and in the Journal of Counseling Psychology (JCP) over a 10-year period. First, some findings from other similar reviews are summarized. Second, the authors present a framework for characterizing selected research practices that emphasizes, in part, elements of the recent report of the American Psychological Association (APA) Task Force on Statistical Inference (Wilkinson & APA Task Force on Statistical Inference, 1999). Third, characterizations of 10 years of analytic practices in 2 journals are presented and evaluated within that framework. The article concludes with a discussion of the changes that may be necessary to improve the statistical state of affairs in behavioral research.     

Book Reading in Leisure Time: Long‐Term changes in young peoples' book reading habits

In this study, the merit of using deliberative democratic evaluations is studied in light of ten questions asked by House and Howe, which defined the approach and raise issues of interests, representation, and choice of stakeholders, power balances and procedures for controlling them, participation, reflection and deliberation. Suggestions by Clark and Moss for using a mosaic approach were followed. This indicates, when listening to children, many fragments integrate into a whole picture. The emphasis here was on listening to children's views and defining values and evaluation criteria so that they reflect our definition of childhood and quality of childcare. Children had other priorities than parents and staff in some instances, for example regarding length of stay and autonomy. Greene's issues of power, core matters, and biases were utilized for reflection on issues.     

Technology‐enhanced Interactive Teaching of Marginal,Joint and Conditional Probabilities: The Special Case of Bivariate Normal Distribution

Data analysis requires subtle probability reasoning to answer questions like What is the chance of event A occurring, given that event B was observed? This generic question arises in discussions of many intriguing scientific questions such as What is the probability that an adolescent weighs between 120 and 140 pounds given that they are of average height? and What is the probability of (monetary) inflation exceeding 4% and housing price index below 110? To address such problems, learning some applied, theoretical or cross‐disciplinary probability concepts is necessary. Teaching such courses can be improved by utilizing modern information technology resources. Students' understanding of multivariate distributions, conditional probabilities, correlation and causation can be significantly strengthened by employing interactive web‐based science educational resources. Independent of the type of a probability course (e.g. majors, minors or service probability course, rigorous measure‐theoretic, applied or statistics course) student motivation, learning experiences and knowledge retention may be enhanced by blending modern technological tools within the classical conceptual pedagogical models. We have designed, implemented and disseminated a portable open‐source web‐application for teaching multivariate distributions, marginal, joint and conditional probabilities using the special case of bivariate Normal distribution. A real adolescent height and weight dataset is used to demonstrate the classroom utilization of the new web‐application to address problems of parameter estimation, univariate and multivariate inference.     

On the misinterpretation of histograms and box plots

Recent studies have shown that the interpretation of graphs is not always easy for students. In order to reason properly about distributions of data, however, one needs to be able to interpret graphical representations of these distributions correctly. In this study, we used Tversky’s principles for the design of graphs to explain how 125 first-year university students interpreted histograms and box plots. We systematically varied the representation that accompanied the tasks between students to identify how the design principles affected students’ reasoning. Many students displayed misinterpretations of histograms and box plots, despite the fact that they had the required knowledge and time to interpret the representations correctly. We argue that the combination of dual process theories and Tversky’s design principles provides a promising theoretical framework, which leads to various possibilities for future research.     

Progressive Education — A Defense

This article describes a multiyear research project involving practicing K–2 teachers and the incorporation of Moodle as a qualitative data portal. Utilizing a case study of two participants, findings from the Moodle-facilitated data point known as “e-forum” are used to examine whether the community-building goal of the research was realized, and to describe the nature of each teacher's orientation toward cultural relevance, a central theme of the study.     

Risk of Domestic Violence After Natural Disaster

Abstract

This paper describes the use of a participatory action research model to teach undergraduate social work research and statistics. Strategies of the model include (1) integration with social work education, (2) policy analysis, (3) literature review, (4) collaboration with practitioners, (5) collaboration with the target population through qualitative research, (6) quantitative study, (7) ongoing social action efforts, and (8) evaluation. An example is used of a project addressing a community problem with increased domestic violence during recovery from natural disaster.