Automatically detecting cognitive levels of teachers’ questions in classroom discourse: Insights from interpretable artificial intelligence

Jingxiu Huang, Zixuan Zheng, Ying Zhao, Shumin Chen, Yunxiang Zheng., Feiyu Lai, Shanyun Kuang

Open source

DOI: 10.21203/rs.3.rs-9760516/v1
Published: 2026-05-21
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Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-9760516/v1,
  title = {Automatically detecting cognitive levels of teachers’ questions in classroom discourse: Insights from interpretable artificial intelligence},
  author = {Jingxiu Huang and Zixuan Zheng and Ying Zhao and Shumin Chen and Yunxiang Zheng. and Feiyu Lai and Shanyun Kuang},
  year = {2026},
  doi = {10.21203/rs.3.rs-9760516/v1},
  url = {https://doi.org/10.21203/rs.3.rs-9760516/v1}
}

RIS

TY  - JOUR
TI  - Automatically detecting cognitive levels of teachers’ questions in classroom discourse: Insights from interpretable artificial intelligence
AU  - Jingxiu Huang
AU  - Zixuan Zheng
AU  - Ying Zhao
AU  - Shumin Chen
AU  - Yunxiang Zheng.
AU  - Feiyu Lai
AU  - Shanyun Kuang
PY  - 2026
DO  - 10.21203/rs.3.rs-9760516/v1
UR  - https://doi.org/10.21203/rs.3.rs-9760516/v1
ER  -

APA

Huang, J., Zheng, Z., Zhao, Y., Chen, S., Zheng., Y., Lai, F., & Kuang, S. (2026). Automatically detecting cognitive levels of teachers’ questions in classroom discourse: Insights from interpretable artificial intelligence. https://doi.org/10.21203/rs.3.rs-9760516/v1

Source records

crossref · retrieved 2026-09-25T21:27:27.501Z