Chapter 6: Formative Assessment Some AI-enabled systems and tools seek to address this potential conflict. For example, one AI- enabled reading tutor listens to students as they read aloud and provides on-the-spot feedback to improve their reading. Students reportedly enjoyed reading aloud, and the approach was effective. Researchers have also embedded formative assessments in games so that students can show how well they understand Newtonian physics as they play increasingly difficult levels of a game. If a student can more easily ask for and receive help when they feel frustrated or confused, reducing those feelings can feel encouraging. Student feelings of safety, confidence, and trust in the feedback generated by these AI-enabled systems and tools are essential to showcase their learning. That focus on learning growth and gains is optimal (absent negative consequences or a high-stakes environment). AI-enhanced formative assessments may have the potential to save teachers’ time (e.g., time spent on grading), allowing the instructor to spend more time engaged in helping students. AIenhanced assessments may also benefit teachers if they provide detailed insights about student strengths or needs that may not be visible and if they support instructional adaptation or improvement by suggesting a small set of evidence-based recommendations for helping students master content. Such assessments may also be helpful outside of the classroom if it can provide feedback when the teacher is not available, for example, in completing homework or practicing a concept during study hall. As we discussed in the Teaching section, an essential aspect of deploying AI-based formative assessment must be centering teachers in system design. 6.3. Insight: AI Can Enhance Feedback Loops 64 | P a g e
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