WebFeb 14, 2024 · Knowledge tracing (KT) is a crucial technique to predict students' future performance by observing their historical learning processes. Due to the powerful … WebAi, F., et al.: Concept-aware deep knowledge tracing and exercise recommendation in an online learning system. International Educational Data Mining Society (2024) Google Scholar; 31. Sonkar, S., et al.: qDKT: question-centric deep knowledge tracing. arXiv preprint arXiv:2005.12442 (2024) Google Scholar
(PDF) Improving Interpretability of Deep Sequential Knowledge …
WebOct 21, 2024 · Details are discussed in the pyKT paper 1. pyKT is a python library for knowledge tracing which contains more than 10 popular deep learning based knowledge tracing models. In the challenge, we provide detailed introductions to using pyKT. You can run more than 10 models using almost the same codes. Codes and detailed instructions … WebApr 12, 2024 · Multi-Object Manipulation via Object-Centric Neural Scattering Functions ... Prompting Large Language Models with Answer Heuristics for Knowledge-based Visual Question Answering Zhenwei Shao · Zhou Yu · Meng Wang · Jun Yu Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning ... Trace and Pace: … c43 amg aftermarket wheels
qDKT: Question-centric Deep Knowledge Tracing
WebMay 25, 2024 · Request PDF qDKT: Question-centric Deep Knowledge Tracing Knowledge tracing (KT) models, e.g., the deep knowledge tracing (DKT) model, track an individual learner's acquisition of skills over ... WebAug 4, 2024 · qDKT: Question-centric Deep Knowledge Tracing 13 Aug 2024 Deep-IRT: Deep Item Response Theory 12 Aug 2024 EdNet: A Large-Scale Hierarchical Dataset in … WebqDKT: Question-centric Deep Knowledge Tracing Shashank Sonkar, Andrew Lan, Andrew Waters, Phillip Grimaldi and Richard Baraniuk. Paper: IntelliMOOC: Intelligent Online Learning Framework for MOOC Platforms Patara Trirat, Sakonporn Noree and Mun Yong Yi. Paper: cloudy with a chance of meatballs live corp