Using GPT and authentic contextual recognition to generate math word problems with difficulty levels
Crossref DOI link: https://doi.org/10.1007/s10639-024-12537-x
Published Online: 2024-03-02
Published Print: 2024-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Hwang, Wu-Yuin
Utami, Ika Qutsiati https://orcid.org/0000-0001-8146-2810
Text and Data Mining valid from 2024-03-02
Version of Record valid from 2024-03-02
Article History
Received: 4 September 2023
Accepted: 2 February 2024
First Online: 2 March 2024
Declarations
:
: All authors declared that there are no conflicts of interest.