Transforming subject matter expertise into learner-centered experiences requires collaboration with SMEs and the integration of AI-powered assessment tools. Focusing on clear learning outcomes, instructional designers use AI to create behavior-based rubrics and offer tailored, ongoing feedback to students. The AI's ability to align feedback with specific performance and mimic SME tone allows for adaptive instruction that engages students meaningfully and promotes deeper learning throughout the course. This process aids SMEs by saving time and allowing them to focus on content clarity and student engagement.
The AI tool helps us quickly translate these outcomes into meaningful rubric categories, moving beyond academic jargon and into learner-centered language.
One of the most powerful features is AI-assisted feedback, which generates custom, formative feedback aligned with rubric performance.
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