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Deep Learning + Student Modeling + Clustering: a Recipe for Effective Automatic Short Answer Grading.

, , and . EDM, page 562-567. International Educational Data Mining Society (IEDMS), (2016)

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Exploring the Impact of Worked Examples in a Novice Programming Environment., , , , , and . SIGCSE, page 98-104. ACM, (2019)Reinforcement Learning-based Feature Seleciton For Developing Pedagogically Effective Tutorial Dialogue Tactics., , , and . EDM, page 258-265. www.educationaldatamining.org, (2008)Time-aware Adversarial Networks for Adapting Disease Progression Modeling., , , and . ICHI, page 1-11. IEEE, (2019)Early Diagnosis and Prediction of Sepsis Shock by Combining Static and Dynamic Information Using Convolutional-LSTM., , , , , , and . ICHI, page 219-228. IEEE Computer Society, (2018)Revealing and incorporating implicit communities to improve recommender systems., , , and . EC, page 489-506. ACM, (2014)PRIME: Block-Wise Missingness Handling for Multi-modalities in Intelligent Tutoring Systems., , , , and . MMM (2), volume 11962 of Lecture Notes in Computer Science, page 63-75. Springer, (2020)Latent Space Encoding for Interpretable Fuzzy Logic Rules in Continuous and Noisy High-Dimensional Spaces., and . FUZZ, page 1-6. IEEE, (2023)Intervention-BKT: Incorporating Instructional Interventions into Bayesian Knowledge Tracing., and . ITS, volume 9684 of Lecture Notes in Computer Science, page 208-218. Springer, (2016)Tug of War: What is it Good For? Measuring Student Inquiry Choices in an Online Science Game., , , and . ICLS, International Society of the Learning Sciences, (2014)Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction., , and . ICHI, page 151-162. IEEE, (2022)