Relaxed Clustered Hawkes Process for Student Procrastination Modeling in MOOCs
Authors: Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi Behnagh4599-4607
AAAI 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Our experiments on both synthetic and real-world education datasets show that RCHawkes-Gamma can effectively recover student clusters and their temporal procrastination dynamics, resulting in better predictive performance of future student activities. |
| Researcher Affiliation | Academia | Mengfan Yao,1 Siqian Zhao, 1 Shaghayegh Sahebi, 1 Reza Feyzi Behnagh 2 1 Department of Computer Science, University at Albany SUNY 2 Department of Educational Theory & Practice, University at Albany SUNY |
| Pseudocode | No | The paper describes algorithms but does not include structured pseudocode or algorithm blocks within the main text. |
| Open Source Code | Yes | Details of the algorithm, its complexity, convergence analyses, and our code can be found in https://github.com/persai-lab/ AAAI2020-RCHawkes-Gamma. |
| Open Datasets | Yes | Canvas Network Courses, Activities, and Users (4/2014 9/2015) Restricted Dataset. doi: 10.7910/DVN/XB2TLU. and The dataset is available through the MOOC Replication Framework (MORF) (Andres et al. 2016). |
| Dataset Splits | No | The paper mentions 70% for training and 30% for testing (seen set), but does not explicitly specify a separate validation dataset split percentage or count for reproduction. |
| Hardware Specification | No | The paper does not provide specific details about the hardware (e.g., CPU, GPU models, or memory) used for running the experiments. |
| Software Dependencies | No | The paper does not explicitly state specific software dependencies with version numbers (e.g., Python 3.x, PyTorch x.x). |
| Experiment Setup | No | The paper states that hyperparameters are tuned via grid search but does not provide specific hyperparameter values (e.g., learning rate, batch size, epochs) or detailed training configurations within the main text. |