A hybrid model based on learning automata and cuckoo search for optimizing test item selection in computerized adaptive testing

Chanjuan Jin, Weiming Pan

Open source

DOI: 10.1038/s41598-025-01115-x
Published: 2025-05-25
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-01115-x,
  title = {A hybrid model based on learning automata and cuckoo search for optimizing test item selection in computerized adaptive testing},
  author = {Chanjuan Jin and Weiming Pan},
  year = {2025},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-025-01115-x},
  url = {https://doi.org/10.1038/s41598-025-01115-x}
}

RIS

TY  - JOUR
TI  - A hybrid model based on learning automata and cuckoo search for optimizing test item selection in computerized adaptive testing
AU  - Chanjuan Jin
AU  - Weiming Pan
PY  - 2025
JO  - Scientific Reports
DO  - 10.1038/s41598-025-01115-x
UR  - https://doi.org/10.1038/s41598-025-01115-x
ER  -

APA

Jin, C., & Pan, W. (2025). A hybrid model based on learning automata and cuckoo search for optimizing test item selection in computerized adaptive testing. Scientific Reports. https://doi.org/10.1038/s41598-025-01115-x

Source records

crossref · retrieved 2026-09-25T14:24:54.156Z