Publication | Closed Access
Uncovering the dynamic in static assessment interaction
20
Citations
14
References
2012
Year
Language DevelopmentEducationPsychologyProgram EvaluationLanguage Assessment (Second Language Acquisition)Social SciencesStatic Assessment InteractionNeurodiversityChild LanguagePerformance AssessmentCognitive DevelopmentAutismSpontaneous VariationsConversation AnalysisChild AssessmentAutomated AssessmentPsychological EvaluationDevelopmental DisorderChild PsychologyCognitive ScienceBehavioral SciencesSocial SkillsBehavior-analytic AssessmentLearning AnalyticsSoftware TestingSpecial EducationElectronic AssessmentDynamic Assessment
Traditional approaches to standardized assessment are underpinned by the assumption that between-assessor variation in delivery can effectively be eliminated. However, fine-grained analyses of the administration of such assessments (e.g. Maynard and Marlaire, 1992 ) have established that significant subtle interactional variations occur even in procedures with regimented protocols, and that such variations can demonstrably affect examinee performance. In this article we draw upon the Vygotskian thinking that underpins dynamic assessment (DA) to posit that these spontaneous variations may provide clinically relevant information about an examinee’s learning potential. To illustrate this possibility, we apply the methodology of conversation analysis to examine a real-life picture-naming task involving a child with autism. Complex interactional processes above and beyond what might be assumed to occur during assessment are identified. In interpreting these as significant for a deeper understanding of the child’s profile of abilities, we argue that there is clinical value in empirically re-examining routine assessment from alternative methodological perspectives.
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