Unique Metadata Schemas: A Model for User-Centric Design of a Performance Support System.

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Title: Unique Metadata Schemas: A Model for User-Centric Design of a Performance Support System.
Authors: Schatz, Steven C.
Source: Educational Technology Research & Development. 2005, Vol. 53 Issue 4, p69-84. 16p.
Subjects: Learning, Metadata, Instructional systems, Information retrieval, Metadatabases, Database searching, Performance technology, Educational technology, Teaching
Abstract: Learning object technology is viewed as a method for fast retrieval. This effort is on developing unique schemas for a targeted group to aid efficient retrieval. In this article, I study a user-centric model for developing tags for K-12 educators that is based on user needs, expectations, and problems. I use a combination of techniques from human performance technology and Sensemaking® to gather and analyze data from potential users. The resultant tag set is simple enough that researchers may envision a performance support system where users may quickly and easily tag and add objects to the system. This opens the door to the creation of systems designed for groups with homogenous information needs, with unique meta tags, populated largely with objects and information brought into the system by the users. [ABSTRACT FROM AUTHOR]
Copyright of Educational Technology Research & Development is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Learning object technology is viewed as a method for fast retrieval. This effort is on developing unique schemas for a targeted group to aid efficient retrieval. In this article, I study a user-centric model for developing tags for K-12 educators that is based on user needs, expectations, and problems. I use a combination of techniques from human performance technology and Sensemaking® to gather and analyze data from potential users. The resultant tag set is simple enough that researchers may envision a performance support system where users may quickly and easily tag and add objects to the system. This opens the door to the creation of systems designed for groups with homogenous information needs, with unique meta tags, populated largely with objects and information brought into the system by the users. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Educational Technology Research & Development is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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