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@@ -139,4 +139,6 @@ These results demonstrate that:
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  2. The model performs best when evaluating misconceptions within their specific topic domains
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  3. Expert validation plays a crucial role in improving accuracy assessments and validating models accuracy
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- The experimental outcomes suggest that while AI can effectively identify many common mathematical misconceptions, its performance is optimized when operating within specific topic constraints and supplemented by expert oversight.
 
 
 
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  2. The model performs best when evaluating misconceptions within their specific topic domains
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  3. Expert validation plays a crucial role in improving accuracy assessments and validating models accuracy
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+ The experimental outcomes suggest that while AI can effectively identify many common mathematical misconceptions, its performance is optimized when operating within specific topic constraints and supplemented by expert oversight.
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+ For more information about how the dataset is curated, please check out our codebase: https://github.com/nancyotero-projects/math-misconceptions