DCMI2013听会点滴

文章分享作者参加都柏林核心元数据组织（Dublin Core Metadata Initiative,DCMI）2013年国际会议的几点体会,重点在于采用规范数据支持数据实时混搭的两种不同方式、元数据属性映射的两种不同水平和表现方法,以及数字图书馆数据模型的三种不同实现方案。     

Books of the Month

Elmer L. Struening and Marcia Guttentag (eds.) Handbook of Evaluation Research (Beverly Hills, Calif.: Sage Publications, 1975—$50.00, two volumes or $25.00 each).

Arthur S.Banks (ed.) Political Handbook of the World: 1976 (New York: McGraw-Hill, 1976—$19.95)     

Learning from Chemical Visualizations: Comparing generation and selection

Dynamic visualizations can make unseen phenomena such as chemical reactions visible but students need guidance to benefit from them. This study explores the value of generating drawings versus selecting among alternatives to guide students to learn chemical reactions from a dynamic visualization of hydrogen combustion as part of an online inquiry unit. In prior research, generation has been more successful than selection in helping students distinguish among ideas to learn complex topics. However, selecting among perplexing alternatives may motivate learners to distinguish among ideas they might otherwise neglect. To test the value of selection for helping students distinguish ideas, this study contrasted complex selection (involving normative as well as non-normative ideas identified in prior research) from typical selection (involving images from the visualization). Results showed that all conditions improved student understanding and that typical selection was less effective than generation while complex selection was as successful as generation. In both generation and complex selection students revisited the visualization while learning, whereas revisiting was rare in typical selection. These results support the idea that distinguishing among common non-normative ideas is more valuable than distinguishing among images from the visualization. In addition, for students with low prior knowledge, both generation and complex selection had some advantages. Overall, the results suggest that students learning from complex visualizations could benefit from a combination of complex selection and generation.     

Seeing the Spectrum: North American Approaches to Emotional,Social, and Moral Education

Interest in emotional, social, and moral (ESM) concerns in K—12 education in North America has grown considerably during the past decade. This increased concern is considered a response to the increased prevalence of social problems experienced by children and youth, such as bullying, substance abuse, and depression, and to research indicating that schools can influence the likelihood of students having these types of problems (Schonert-Reichl 2000). Research and theory in psychology which suggests that emotional development is an essential foundation of cognitive development and, therefore, is related to academic achievement also has contributed to this expanded interest (Martin and Reigeluth 1999). A variety of names, including affective education, social and emotional learning, values education, character education, caring education, and moral education, have been used in discussing ESM. Despite the prevalent use of these terms in the literature, the school programs that actually have been implemented under these various auspices are discussed rarely. Further, little, if any, research has explored the relative effectiveness of various approaches. Through a review of the literature, this article provides an overview of the history of ESM education in North America. It also outlines the spectrum of contemporary approaches to ESM education and explores the similarities and differences of these approaches, making suggestions for further theoretical and empirical work.     

Multifaceted Assessment of Inquiry-Based Science Learning

To improve student science achievement in the United States we need inquiry-based instruction that promotes coherent understanding and assessments that are aligned with the instruction. Instead, current textbooks often offer fragmented ideas and most assessments only tap recall of details. In this study we implemented 10 inquiry-based science units that promote knowledge integration and developed assessments that measure student knowledge integration abilities. To measure student learning outcomes, we designed a science assessment consisting of both proximal items that are related to the units and distal items that are published from standardized tests (e.g., Trends in International Mathematics and Science Study). We compared the psychometric properties and instructional sensitivity of the proximal and distal items. To unveil the context of learning, we examined how student, class, and teacher characteristics affect student inquiry science learning. Several teacher-level characteristics including professional development showed a positive impact on science performance.     

Facilitating Positive Peer Interactions Among Handicapped and Non‐Handicapped Students

Legislation in U.S.A. mandates participation of handicapped students within the regular classroom to the maximum possible extent; however, research tends to substantiate the rejected status of these students. The purpose of this paper is to review programs and procedures which have been developed to modify peer acceptance of exceptional children in the regular classroom.     

元数据与专业置标语言在数字图书馆中知识表述方面的功能

以处理文献资源为基本目的的元数据标准(如Dublin Core,IMS and LOM)和专业置标语言(如MatML,MathML,CML,GML)近年来都在以前所未有的速度向前发展,然而其发展和应用却缺乏相互沟通和操作。数字图书馆建设过程中通常会遇到在不同水平上对文献处理的各种格式和方法进行选择与应用、这些格式和标准如何进行互操作等问题。本文分析用于描述文献资源的元数据和面向专业的置标语言在数字图书馆中对知识进行表述的特点和功能,讨论其在对一个资源作结构上和语义上的分解时的作用,指出元数据与置标语言结合的必要性,并提出在同一数字图书馆中将两者结合起来使用的可行方法。