Using GPT and authentic contextual recognition to generate math word problems with difficulty levels

Research article (Education and Information Technologies, 2024) · cited 16× · AI/ML
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Using GPT and authentic contextual recognition to generate math word problems with difficulty levels

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Using GPT and authentic contextual recognition to generate math word problems with difficulty levels is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Using GPT and authentic contextual recognition to generate math word problems with difficulty levels. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-gpt-and-authentic-contextual-recognition-to-generate-math-word-problems-with-difficulty-levels
MLA “Using GPT and authentic contextual recognition to generate math word problems with difficulty levels.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-gpt-and-authentic-contextual-recognition-to-generate-math-word-problems-with-difficulty-levels.
BibTeX @misc{4ortxyz_using-gpt-and-authentic-contextual-recognition-to-generate-math-word-problems-with-difficulty-levels_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using GPT and authentic contextual recognition to generate math word problems with difficulty levels}}, year = {2026}, url = {https://4ort.xyz/entity/using-gpt-and-authentic-contextual-recognition-to-generate-math-word-problems-with-difficulty-levels}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using GPT and authentic contextual recognition to generate math word problems with difficulty levels — https://4ort.xyz/entity/using-gpt-and-authentic-contextual-recognition-to-generate-math-word-problems-with-difficulty-levels (retrieved 2026-05-24)

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