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An in-depth exploration of predictive analytics in academic performance: a comprehensive framework utilizing large-scale feature-derived bidirectional long short-term memory neural networks

Crossref DOI link: https://doi.org/10.1007/s10639-025-13614-5

Published Online: 2025-05-22

Published Print: 2025-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Yang, Wenyu

Yang, Bozhi

Wang, Yunqian https://orcid.org/0000-0003-0245-9969
Funding

Funding for this research was provided by:

Innovative Research Group Project of the National Natural Science Foundation of China (62061029)
License Information

Text and Data Mining valid from 2025-05-22

Version of Record valid from 2025-05-22
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Article History

Received: 8 June 2024

Accepted: 12 May 2025

First Online: 22 May 2025

Declarations

:

: The authors have no relevant financial or non-financial interests to disclose.

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