Anne R. Diekema

Multilinguality in the digital library: A review

Purpose – Together, increasing globalization and the internet created fertile grounds for the establishment of multilingual digital libraries. Providing cross‐lingual access to materials is of particular interest to political entities such as the European Union, which currently has 23 official languages, but also to multinational companies and countries that have different languages represented among their citizens. The main objective of this paper is to review the literature on multilingual digital libraries and provide an overview of this area.Design/methodology/approach – Based on a thorough literature search in four different databases, a core set of literature on multilingual digital libraries was retrieved. Literature on various aspects of this topic was reviewed. The paper is organized based on emerging themes directly drawn from the literature. Where warranted additional literature is brought in to provide necessary background information or clarification.Findings – Creating a multilingual digital...

Computer-assisted assignment of educational standards using natural language processing

Educational standards are a central focus of the current educational system in the United States, underpinning educational practice, curriculum design, teacher professional development, and high-stakes testing and assessment. Digital library users have requested that this information be accessible in association with digital learning resources to support teaching and learning as well as accountability requirements. Providing this information is complex because of the variability and number of standards documents in use at the national, state, and local level. This article describes a cataloging tool that aids catalogers in the assignment of standards metadata to digital library resources, using natural language processing techniques. The research explores whether the standards suggestor service would suggest the same standards as a human, whether relevant standards are ranked appropriately in the result set, and whether the relevance of the suggested assignments improve when, in addition to resource content, metadata is included in the query to the cataloging tool. The article also discusses how this service might streamline the cataloging workflow.

Personal information management practices of teachers

Teaching is an information-rich profession with increasing demands on accountability and performance. Ideally, a well-managed information space provides teachers with relevant information when they need it, thus increasing their efficiency and efficacy and conceivably improving teaching quality. Little is known about teacher personal information management (PIM). This exploratory study employed interviews to establish a context to study teacher PIM. The study found that teachers draw information from a variety of physical and digital sources, and while they were aware of sources that had valuable information, especially digital libraries and their school library media centers, they rarely used them. Teachers used distinctive personal organization schemes to manage their information, sorting information alphabetically, topically, and by educational standards. This study introduced the observed phenomenon of “information heritage,” where teachers were handed down information from their predecessors and then had to choose what to do with it and how to incorporate it into their PIM practices. Teachers store their information physically in cabinets, closets, and shelves, and digitally on their computer hard drives, school group drives, and using bookmarks. Ephemeral information created by teachers often has time management purposes.

Comparison of human and machine-based educational standard assignment networks

Increasing availability of digital libraries of K-12 educational resources, coupled with an increased emphasis on standard-based teaching necessitates assignment of the standards to those resources. Since manual assignment is a laborious and ongoing task, machine-based standard assignment tools have been under development for some time. Unfortunately, data on the performance of these machine-based classifiers are mostly lacking. In this article, we explore network modeling and layout to gain insight into the differences between assignments made by catalogers and those by the well-known Content Assignment Tool (CAT) machine-based classifier. To build the standard assignment networks, we define standards to be linked if they are jointly assigned to a learning resource. Comparative analysis of the topology and layout of the networks shows that whereas the cataloger-based network reflects the underlying curriculum, i.e., clusters of standards separate along lines of lesson content and pedagogical principles, the machine-based network lacks these relationships. This shortcoming is partially traced back to the machine classifier’s difficulties in recognizing standards that express ways and means of conducting science.

Implications and Challenges of Educational Standards Metadata

Public elementary and secondary school teachers are now teaching a standards-based curriculum using state or district standards to direct their teaching. Standards-based education has implications for the way teachers are searching for information in libraries. Ideally teachers should be able to use educational standards in their searches to find relevant resources for use in their classrooms. So-called standards-based searching cannot take place without educational standards information in the resource metadata, which brings about interesting issues and challenges.

Map- or list-based recommender agents? Does the map metaphor fulfill its promise?:

We present a spatialization of digital library content based on item similarity and an experiment which compares the performance of this spatialization relative to a simple list-based display. Items in the library are elementary school, middle school, and high school science and engineering learning resources. Spatialization and visualization are accomplished through two-dimensional interactive Sammon mapping of pairwise item similarities computed from the joint occurrence of word bigrams. The 65 science teachers participating in the experiment were asked to search the library for curricular items they would consider using as part of one or more teaching assignments. The results indicate that whereas the spatializations adequately capture the salient features of the library’s content and teachers actively use them, item retrieval rates, task-completion time, and perceived utility do not significantly differ from the semantically poorer but easier to comprehend and navigate list-based representations. These results put into question the usefulness of the rapidly increasing supply of information spatializations.