Predictors of Student Technology Competencies in Assurance of Learning Assessment

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Publicado en:Research & Practice in Assessment vol. 20, no. 1 (2025)
Autor Principal: Philhours, Melodie
Outros autores: Fish, Kelly E
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Research & Practice in Assessment
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Acceso en liña:Citation/Abstract
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520 3 |a This study leverages data from direct assessments of learning (AoL) to build a dynamic model of student performance in competency exams related to computer technology. The analysis reveals three key predictors that strongly influence student success: performance on a practice exam, whether or not a student engaged in practice testing beforehand, and prior completion of an introductory course in computer applications. These findings offer valuable insights for enhancing technology competencies in assessment contexts. The authors suggest that future research should explore a more efficient alternative—offering brief, targeted instruction paired with a practice exam—rather than the traditional requirement of a full three-hour course. This approach could streamline the learning process while maintaining or improving performance outcomes.Click here to download the full article 
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