Problem-based and project-based learning as promising frameworks for generative AI-supported education: Emerging evidence from a systematic review and three-level meta-analysis

Zhaorui Chen, Zhongran Yan, Zhenyu Fu, Haoyan Huang

Open source

DOI
10.1016/j.actpsy.2026.107734
Published
2026-10
Container
Acta Psychologica
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.actpsy.2026.107734,
  title = {Problem-based and project-based learning as promising frameworks for generative AI-supported education: Emerging evidence from a systematic review and three-level meta-analysis},
  author = {Zhaorui Chen and Zhongran Yan and Zhenyu Fu and Haoyan Huang},
  year = {2026},
  journal = {Acta Psychologica},
  doi = {10.1016/j.actpsy.2026.107734},
  url = {https://doi.org/10.1016/j.actpsy.2026.107734}
}

RIS

TY  - JOUR
TI  - Problem-based and project-based learning as promising frameworks for generative AI-supported education: Emerging evidence from a systematic review and three-level meta-analysis
AU  - Zhaorui Chen
AU  - Zhongran Yan
AU  - Zhenyu Fu
AU  - Haoyan Huang
PY  - 2026
JO  - Acta Psychologica
DO  - 10.1016/j.actpsy.2026.107734
UR  - https://doi.org/10.1016/j.actpsy.2026.107734
ER  - 

APA

Chen, Z., Yan, Z., Fu, Z., & Huang, H. (2026). Problem-based and project-based learning as promising frameworks for generative AI-supported education: Emerging evidence from a systematic review and three-level meta-analysis. Acta Psychologica. https://doi.org/10.1016/j.actpsy.2026.107734

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