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This paper describes ongoing research that investigates empirical examples of system changes in order to characterize these changes and to develop a categorization scheme for framing and clarifying design approaches for proactively creating ilities in a system.
From a systematic search of the published and gray literature, 35 studies were identified and analyzed to develop a categorization of the operational components of the existing body of research, including the types and sources of evaluations, research methods and designs, research participants, outcome indicators, approaches to analysis, and research limitations.
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This involved collecting additional information about each WePISM and developing a categorization scheme to highlight important WePISM characteristics.
To specifically examine these predictions, we developed a categorization of math problems that identifies those problems most likely affected by spatial training.
We developed a categorization system for chief complaints (CC) in an academic ED fast track (FT) area, so that a curriculum based upon actual CC and clinical experience could be designed for learners.
We developed a categorization system, which allocates membership of TFs to families as a consequence of their domain architecture.
They developed a categorization scheme that is grounded in the analysis of the content of existing academic programs.
In a previous study [ 1], we developed a categorization algorithm for health resources included in a quality-controlled health gateway called CISMeF (acronym of Catalogue and Index of Medical On-Line Resources in French) [ 2].
This study's main objectives were to develop a detailed categorization of persuasive appeals used in road safety communication campaigns that differentiate between appeals that appear to be similar but differ conceptually, and to indicate the advantages, limitations and ethical issues associated with each type, drawing on behavior change theories.
Therefore, we needed to develop a new categorization scheme that would help us better understand this set of instructional strategies with respect to their successful propagation.
Correlation based adaptive resonance theory (CobART) networks are integrated hierarchically in order to develop an adequate categorization, and to elicit various behaviors performed by the robot.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com