dblp: Learning Analytics and Knowledge
4 days ago · Joint Proceedings of the Sixth Multimodal Learning Analytics (MMLA) Workshop and the Second Cross-LAK Workshop co-located with 7th International Learning Analytics and Knowledge …
dblp: Cluster-Based Performance of Student Dropout Prediction as a ...
Feb 25, 2023 · Bibliographic details on Cluster-Based Performance of Student Dropout Prediction as a Solution for Large Scale Models in a Moodle LMS.
dblp: Xiao Hu 0001
[c41] Xiao Hu, Christy W. L. Cheong, Wenwen Ding, Michelle Woo: A systematic review of studies on predicting student learning outcomes using learning analytics. LAK 2017: 528-529
dblp: CNN autoencoders and LSTM-based reduced order model for …
Oct 14, 2023 · Bibliographic details on CNN autoencoders and LSTM-based reduced order model for student dropout prediction.
"Using Stacked Denoising Autoencoder for the Student Dropout Prediction."
Bibliographic details on Using Stacked Denoising Autoencoder for the Student Dropout Prediction.
"Delving Deeper into MOOC Student Dropout Prediction." - dblp
Internet Archive Scholar CiteSeerX share record Twitter Reddit BibSonomy LinkedIn Facebook persistent URL: https://dblp.org/rec/journals/corr/WhitehillMSRT17 Jacob Whitehill, Kiran Mohan, …
dblp: Dropout prediction model in MOOC based on clickstream data …
Jun 23, 2021 · Bibliographic details on Dropout prediction model in MOOC based on clickstream data and student sample weight.
"MOOC Dropout Prediction: Lessons Learned from Making Pipelines …
Oct 14, 2021 · Bibliographic details on MOOC Dropout Prediction: Lessons Learned from Making Pipelines Interpretable.
"Improved student dropout prediction in Thai University using ... - dblp
Bibliographic details on Improved student dropout prediction in Thai University using ensemble of mixed-type data clusterings.
dblp: MOOCs Dropout Prediction via Classmates Augmented Time …
Nov 28, 2023 · Bibliographic details on MOOCs Dropout Prediction via Classmates Augmented Time-Flow Hybrid Network.