How AI Could Help or Hurt Student Testing

Source Domain: www.edweek.org

The potential of artificial intelligence (AI) to modernize standardized assessments and provide high-quality feedback to students is being explored by educators.
AI can streamline test item generation, scoring, and feedback, but it also poses risks such as privacy concerns, inaccuracies, and bias.
Experts argue that the proper integration of AI tools, while ensuring human oversight and involvement, can make AI a useful educational tool.
Educators should establish a baseline understanding of AI to stay informed about new developments and actively review AI-generated feedback.
School districts should let teachers experiment with AI to learn how to best utilize it for various teaching and learning scenarios.
Educators are suggested to choose appropriate AI tools for specific tasks, rather than trying to use every available tool.
The role of human involvement in the assessment process remains crucial to align AI feedback with established rubrics and to detect errors.
Before implementing AI for assessments, teachers need to clearly define the test’s objectives and the appropriate approaches for scoring and progress measurement.

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