The National Science Digital Library (NSDL), launched in December 2002, is emerging as a center of innovation in digital libraries as applied to education. As a part of this extensive project, the GetSmart system was created to apply knowledge management techniques in a learning environment. The design of the system is based on an analysis of learning theory and the information search process. Its key notion is the integration of search tools and curriculum support with concept mapping. More than 100 students at the University of Arizona and Virginia Tech used the system in the fall of 2002. A database of more than one thousand student-prepared concept maps has been collected with more than forty thousand relationships expressed in semantic, graphical, node-link representations. Preliminary analysis of the collected data is revealing interesting knowledge representation patterns.
The GetSmart system was built to support theoretically sound learning processes in a digital library environment by integrating course management, digital library, and concept mapping components to support a constructivist, six-step, information search process. In the fall of 2002 more than 100 students created 1400 concept maps as part of selected computing classes offered at the University of Arizona and Virginia Tech. Those students conducted searches, obtained course information, created concept maps, collaborated in acquiring knowledge, and presented their knowledge representations. This article connects the design elements of the GetSmart system to targeted concept-map-based learning processes, describes our system and research testbed, and analyzes our system usage logs. Results suggest that students did in fact use the tools in an integrated fashion, combining knowledge representation and search activities. After concept mapping was included in the curriculum, we observed improvement in students' online quiz scores. Further, we observed that students in groups collaboratively constructed concept maps with multiple group members viewing and updating map details.
Information systems used in archaeological research have several needs that can be summarized as follows: interoperability among diverse, heterogeneous systems, making information available without significant delay, providing a sustainable approach to longterm preservation of data, and providing a suite of services to users of the system. In this thesis, we describe how digital library techniques can be employed to provide solutions to these problems and describe our experiences in creating a prototype for ETANA-DL. ETANA-DL is a model-based, componentized, extensible, archaeological Digital Library that manages complex information sources using the client-server paradigm of the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH). We have designed and developed the prototype system with the following main goals: 1) to achieve information sharing between different heterogeneous archaeological systems, 2) to make primary archaeological data rapidly available to users, 3) to provide useful services to users of the DL, 4) to elicit requirements that users of the system will have beyond the services that it supports, and 5) to provide a sustainable solution to long-term preservation of valuable archaeological data. Consequently, we describe our approach to handling heterogeneous archaeological information from disparate sources; suggest an architecture for ETANA-DL, to be validated through prototyping; and show that given a pool of components that implement common DL services, a prototype DL can be rapidly created that supports several useful services over integrated data. Further, and most fundamentally, we note that understanding complex information systems is a difficult task. Finally, therefore, we describe our efforts to model complex archaeological information systems using the 5S framework, and show how we have used the resulting partial models to implement ETANA-DL with cross-collection searching and browsing capabilities.
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