Predicting Course Score for Undergrade Students Using Neural Networks
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-84529-2_61
Reference32 articles.
1. Ma, Y., Cui, C., Nie, X., Yang, G., Shaheed, K., Yin, Y.: Pre-course student performance prediction with multi-instance multi-label learning. Sci. China Inf. Sci. 62(2), 1–3 (2018). https://doi.org/10.1007/s11432-017-9371-y
2. Sweeney, M., Lester, J., Rangwala, H.: Next-term student grade prediction. In: 2015 IEEE International Conference on Big Data, pp. 970–975 (2015)
3. Gull, H., Saqib, M., Iqbal, S.Z., et al.: Improving learning experience of students by early prediction of student performance using machine learning. In: 2020 IEEE International Conference for Innovation in Technology, pp. 1–4 (2020)
4. Polyzou, A., Karypis, G.: Feature extraction for next-term prediction of poor student performance. IEEE Trans. 12, 237–248 (2019)
5. Pongpaichet, S., Jankapor, S., Janchai, S., et al.: Early detection at-risk students using machine learning. In: 2020 International Conference on Information and Communication Technology Convergence, pp. 283–287 (2020)
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