GenAI-Supported Mathematical Storytelling: How Deep is Optimal? A Three-Group Study of Cognitive Gains

Jingyuan Qiu, Sheng Chang, Wei Wei 0049, Ziqi Chen. GenAI-Supported Mathematical Storytelling: How Deep is Optimal? A Three-Group Study of Cognitive Gains. In Emmanuel G. Blanchard, Guanliang Chen, Min Chi, Seiji Isotani, editors, Artificial Intelligence in Education - 27th International Conference, AIED 2026, Seoul, South Korea, June 27-July 3, 2026, Proceedings, Part V. Volume 16585 of Lecture Notes in Computer Science, pages 11-19, Springer, 2026. [doi]

@inproceedings{QiuCWC26,
  title = {GenAI-Supported Mathematical Storytelling: How Deep is Optimal? A Three-Group Study of Cognitive Gains},
  author = {Jingyuan Qiu and Sheng Chang and Wei Wei 0049 and Ziqi Chen},
  year = {2026},
  doi = {10.1007/978-3-032-29770-9_2},
  url = {https://doi.org/10.1007/978-3-032-29770-9_2},
  researchr = {https://researchr.org/publication/QiuCWC26},
  cites = {0},
  citedby = {0},
  pages = {11-19},
  booktitle = {Artificial Intelligence in Education - 27th International Conference, AIED 2026, Seoul, South Korea, June 27-July 3, 2026, Proceedings, Part V},
  editor = {Emmanuel G. Blanchard and Guanliang Chen and Min Chi and Seiji Isotani},
  volume = {16585},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-032-29770-9},
}