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Future Directions of Assessment Analytics

  • Muhittin Sahin,
  • Dirk Ifenthaler

摘要

This chapter highlights the importance of exploring latent patterns in data collected from learning and assessment environments to develop effective digital learning environments. It explores the concept of assessment analytics, aiming to optimize assessment processes based on learner-assessment data. Stakeholders such as learners, instructors, and other professionals benefit from assessment analytics. The chapter also mentions the significance of dashboard designs for presenting assessment process patterns to stakeholders enhancing learner engagement and interaction. Overall, it provides insights into the evolving landscape of assessment analytics.