MOOC student drop-out

Description

This public dataset consists of actions, e.g., viewing a video, submitting an answer, etc., done by students on a MOOC online course. This dataset consists of 7,047 users interacting with 98 items (videos, answers, etc.) resulting in over 411,749 interactions. There are 4,066 drop-out events (= 0.98%)

Dataset Statistics

Users	Items	Interactions	Node Labels	Node Features	Edge Labels	Edge Features	Action Repetition (%)
7,047	97	411,749	Exist	None	None	Exist	None

References

Srijan Kumar, Xikun Zhang, and Jure Leskovec. 2019. Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD ’19). Association for Computing Machinery, New York, NY, USA, 1269–1278. DOI:https://doi.org/10.1145/3292500.3330895

 @inproceedings{kumar2019predicting,
	title={Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks},
	author={Kumar, Srijan and Zhang, Xikun and Leskovec, Jure},
	booktitle={Proceedings of the 25th ACM SIGKDD international conference on Knowledge discovery and data mining},
	year={2019},
	organization={ACM}
 }

Kdd cup 2015. https://biendata.com/competition/kddcup2015/data/

MOOC.tar.gz Download Link

Files

1. mooc.tsv
   • Tab-separated file Header: (row_id, user, item, timestamp)
   • All user ids & item ids are normalized starting from 0.
   • Sorted by timestamp.
   • All NaN values are removed from data.
   • Example

row_id	user_id	item_id	timestamp  
0	0	0	0  
1	1	1	54
2	1	2	306
3	2	3	479
......

1. mooc_user_mapping.tsv & mooc_item_mapping.tsv

• Mapping files from original user & item ids to normalized ones.
• Example

original_id	mapped_id
0	0
1	1
4	2
7	3
......

1. mooc_edge_features.tsv

• Edge features (4-dimensional) for MOOC dataset.
• Example

row_id  edge_feature_0	edge_feature_1
0  0.5 1.0
1 -0.5  1.0
......

1. mooc_node_labels.tsv

• Binary user state labels for each timestamp (0 = normal, 1 = dropped out)
• There are total 4,066 drop-out events (=0.98%)
• Example

user_id	timestamp	state_label
0	0.000	0
1	36.000	0
1	77.000	1
......

Contacts

Sejoon Oh, soh337@gatech.edu, Georgia Institute of Technology
Srijan Kumar, srijan@gatech.edu, Georgia Institute of Technology