Sukrit Leelaluk

According to our database, Sukrit Leelaluk authored at least 6 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance.

Sukrit Leelaluk, Cheng Tang, Valdemar Svábenský, Atsushi Shimada

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

2024

Attention-Based Artificial Neural Network for Student Performance Prediction Based on Learning Activities.

Sukrit Leelaluk, Cheng Tang, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada

IEEE Access, 2024

Educational Data Analysis using Generative AI.

Shuaileng Yuan, Sukrit Leelaluk, Cheng Tang, Li Chen, Fumiya Okubo, Atsushi Shimada

Proceedings of the Joint Proceedings of LAK 2024 Workshops co-located with 14th International Conference on Learning Analytics and Knowledge (LAK 2024), 2024

Educational Data Analysis using Generative AI.

Abdul Berr, Sukrit Leelaluk, Cheng Tang, Li Chen, Fumiya Okubo, Atsushi Shimada

Proceedings of the Joint Proceedings of LAK 2024 Workshops co-located with 14th International Conference on Learning Analytics and Knowledge (LAK 2024), 2024

2022

Scaled-Dot Product Attention for Early Detection of At-risk Students.

Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada

Proceedings of the IEEE International Conference on Teaching, 2022

Predicting Student Performance based on Lecture Materials Data using Neural Network Models.

Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada

Proceedings of the 4th Workshop on Predicting Performance Based on the Analysis of Reading Behavior, 2022