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Framework of Assessment Design Based on Evidence-Centered Design for Assessment Analytics

  • Cennet Terzi Müftüoğlu,
  • Muhittin Sahin

摘要

Assessment is one of the essential components of effective learning and permeates the entire learning process. Although off-the-shelf and standardized tests are widely accepted for large-scale tests and classroom assessments, guiding learning and assessing learners’ progress is also needed. Advances in cognitive psychology have led to an in-depth understanding of how learners acquire and use knowledge. Researchers faced the challenges that determining how this information can be used following the purposes of the assessment although emerging technologies make it possible to capture complex performances. Frameworks include design principles to support educational assessments in online learning environments. In this context, there is a need for assessment designs that add the traces left by learners in technology-supported environments to the assessment process. The evidence-centered design (ECD) framework provides a conceptual design framework that supports a wide variety of assessment types. This study aims to: (a) provide an overview of the ECD and (b) provide an example of how the ECD is used for learning-centered assessment design. This study’s purpose is to overcome the difficulties of designing new assessment forms, guide the emergence of new assessment approaches, mediate how assessment design should be suitable for the complex nature of learning, and use the data from learners in the context of assessment analytics holistically. A typical assessment design architecture will also require different experts to work collaboratively.