issues
search
olagrasli
/
DataMiningProject
1
stars
0
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
Recomandation, based on similarity in click patterns
#14
olagrasli
opened
3 years ago
0
Predicting droppout/grade based on assessments/work in previous courses
#13
olagrasli
opened
3 years ago
0
Skippertak
#12
olagrasli
opened
3 years ago
0
Xia, Xiaona. "Learning behavior mining and decision recommendation based on association rules in interactive learning environment."Interactive Learning Environments(2020): 1-16.
#11
olagrasli
opened
3 years ago
0
Poitras, Eric G., Reza Feyzi Behnagh, and François Bouchet. "A Dimensionality Reduction Method for Time Series Analysis of Student Behavior to Predict Dropout in Massive Open Online Courses."Adoption of Data Analytics in Higher Education Learning and Teaching. Springer, Cham, 2020. 391-406.
#10
olagrasli
opened
3 years ago
0
Hlosta, Martin, Zdenek Zdrahal, and Jaroslav Zendulka. "Ouroboros: early identification of at-risk students without models based on legacy data."Proceedings of the seventh international learning analytics & knowledge conference. 2017
#9
olagrasli
opened
3 years ago
1
Jha, Nikhil Indrashekhar, Ioana Ghergulescu, and Arghir-Nicolae Moldovan. "OULAD MOOC Dropout and Result Prediction using Ensemble, Deep Learning and Regression Techniques."CSEDU (2). 2019.
#8
olagrasli
opened
3 years ago
1
He, Yanbai, et al. "Online At-Risk Student Identification Using RNN-GRU Joint Neural Networks."Information11.10 (2020): 474.
#7
olagrasli
opened
3 years ago
1
Kuzilek, Jakub, et al. "OU Analyse: analysing at-risk students at The Open University."Learning Analytics Review(2015): 1-16.
#6
olagrasli
opened
3 years ago
0
Aljohani, Naif Radi, Ayman Fayoumi, and Saeed-Ul Hassan. "Predicting at-risk students using clickstream data in the virtual learning environment."Sustainability11.24 (2019): 7238.
#5
olagrasli
opened
3 years ago
0
Li, Jianxin, et al. "SEPN: a sequential engagement based academic performance prediction model."IEEE Intelligent Systems(2020).
#4
olagrasli
opened
3 years ago
0
Karimi, Hamid, Jiangtao Huang, and Tyler Derr. "A deep model for predicting online course performance."Cse. Msu. Edu192 (2014): 302.
#3
olagrasli
opened
3 years ago
0
Jha, Nikhil Indrashekhar, Ioana Ghergulescu, and Arghir-Nicolae Moldovan. "OULAD MOOC Dropout and Result Prediction using Ensemble, Deep Learning,and Regression Techniques."CSEDU (2). 2019.
#2
olagrasli
closed
3 years ago
0
Riazy, Shirin, and Katharina Simbeck. "Predictive Algorithms in Learning Analytics and their Fairness."DELFI 2019(2019).
#1
olagrasli
opened
3 years ago
1