2007
DOI: 10.1080/01421590701615808
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TIME as a generic index for outcome-based medical education

Abstract: TIME (Topics for Indexing Medical Education) is a general-purpose, intermediate-granularity taxonomy of topics that describe the content of undergraduate medical education. Within outcome-based education systems, curriculum planning focuses on the desired product rather than process, and the contributions of curricular elements to achievement of the outcomes must be made visible. In this paper, we discuss how TIME may be used as a content index in curriculum maps to link curricular elements to multiple outcome… Show more

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Cited by 10 publications
(12 citation statements)
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“…The TIME application can accommodate 2 other item types: Outcomes and Objectives. This functionality and its potential benefits to curriculum evaluation and quality assurance in outcome‐based education systems have been published elsewhere 22 …”
Section: Structure and Functions Of Time‐itemmentioning
confidence: 99%
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“…The TIME application can accommodate 2 other item types: Outcomes and Objectives. This functionality and its potential benefits to curriculum evaluation and quality assurance in outcome‐based education systems have been published elsewhere 22 …”
Section: Structure and Functions Of Time‐itemmentioning
confidence: 99%
“…Within a curriculum map, TIME can act as the ‘curriculum content’ window 2 . Used as such, it can facilitate comparisons of the declared, taught and learned curricula 22 …”
Section: Applications Of Timementioning
confidence: 99%
See 1 more Smart Citation
“…The approach proved successful in supporting semantic indexing of curricular events and outperformed, in that curricular context, a similar tool (MetaMap) that had primarily been designed for indexing scientific publications [21,22]. The taxonomy TIME (Topics for Indexing Medical Education) served as a means to index the elements of a curriculum map uniformly [23]. Thus, TIME enabled topic specific views, which show the contribution of curricular elements to specific outcomes.…”
Section: Introductionmentioning
confidence: 99%
“…Taxonomies and ontologies provide controlled vocabularies for content description (semantic annotation) of objects, such as, per example, learning resources [10]. Relationship between the terms of a vocabulary are stored within a taxonomy, allowing for an (manually initiated) automated search to identify similar content descriptions among a multitude of learning resources, independent of their location [1], [11], [12].…”
Section: Introductionmentioning
confidence: 99%