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Predicting student academic performance using Bi-LSTM: a deep learning framework with SHAP-based interpretability and statistical validation
Research article (Frontiers in Education, 2025) · cited 21× · AI/ML
Predicting student academic performance using Bi-LSTM: a deep learning framework with SHAP-based interpretability and statistical validation
Summary
Predicting student academic performance using Bi-LSTM: a deep learning framework with SHAP-based interpretability and statistical validation is a scholarly article[1].
Key Facts
Predicting student academic performance using Bi-LSTM: a deep learning framework with SHAP-based interpretability and statistical validation's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Predicting student academic performance using Bi-LSTM: a deep learning framework with SHAP-based interpretability and statistical validation. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-student-academic-performance-using-bi-lstm-a-deep-learning-framework-with-shap-based-interpretability-and-sta
MLA“Predicting student academic performance using Bi-LSTM: a deep learning framework with SHAP-based interpretability and statistical validation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-student-academic-performance-using-bi-lstm-a-deep-learning-framework-with-shap-based-interpretability-and-sta.
BibTeX@misc{4ortxyz_predicting-student-academic-performance-using-bi-lstm-a-deep-learning-framework-with-shap-based-interpretability-and-sta_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting student academic performance using Bi-LSTM: a deep learning framework with SHAP-based interpretability and statistical validation}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-student-academic-performance-using-bi-lstm-a-deep-learning-framework-with-shap-based-interpretability-and-sta}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting student academic performance using Bi-LSTM: a deep learning framework with SHAP-based interpretability and statistical validation — https://4ort.xyz/entity/predicting-student-academic-performance-using-bi-lstm-a-deep-learning-framework-with-shap-based-interpretability-and-sta (retrieved 2026-05-24)
