Welcome to OpenLA’s documentation!

OpenLA:

• Introduction
  • API concept
  • Installation
  • Dataset for OpenLA
• OpenLA modules
  • Course Information Module Document
  • Data Conversion Module Document
  • Data Extraction Module Document
  • Data Visualization Module Document
  • Event Stream Document
  • Operation Count Document
  • Page-wise Aggregation Document
  • Time-range Aggregation Document
• Tutorial of modules
  • Tutorial of Course Information Module
  • Tutorial of EventStream Class
  • Tutorial of Data Conversion Module
  • Tutorial of Data Extraction Module
• Code example
  • Example of Course Information
  • Example of Data Extraction
  • Example of EventStream
  • Example of Operation Count
  • Example of Page Transition
  • Example of Page-wise Aggregation
  • Example of Time-range Aggregation
  • Use OpenLA in Google Colaboratory
• Re-implementation
  • Preprocessing of Off-task Detection
  • Preprocessing of Learning Behavior Analysis
• Use OpenLA in Google Colaboratory
  • Use OpenLA in Google Colaboratory
• Contributors
• Release Notes
  • Version 0.3.0
  • Version 0.2.9
  • Version 0.2.8
  • Version 0.2.7
  • Version 0.2.6
  • Version 0.2.5
  • Version 0.2.2
  • Version 0.2.1
  • Version 0.1.11

OpenLA Feature Representation:

• OpenLA Feature Representation Tutorial
  • Introduction
  • E2Vec Tutorial
  • ALP Tutorial
• Contributors
• Release Notes
  • Version 0.1.2
  • Version 0.1.1
  • Version 0.1.0

LIMU:

• Developed at LIMU
  • Principal Investigator
  • Co-investigator
  • Laboratory for Image and Media Understanding

Citation

If you use OpenLA for a scientific publication, we would appreciate citations to the following paper.

Murata, R., Minematsu, T., Shimada, A. (2020). OpenLA: Library for Efficient E-book Log Analysis and Accelerating Learning Analytics. In International Conference on Computer in Education (ICCE 2020), pp. 301-306.

@inproceedings{openla_2020,
   author = {Murata, Ryusuke and Minematsu, Tsubasa and Shimada, Atsushi},
   title = {OpenLA: Library for Efficient E-book Log Analysis and Accelerating Learning Analytics},
   booktitle = {International Conference on Computer in Education (ICCE 2020)},
   year = {2020},
   pages = {301-306},
}

Developer

Laboratory for Image and Media Understanding (LIMU), Kyushu University

https://limu.ait.kyushu-u.ac.jp/e/

Contact

e-mail: openla@limu.ait.kyushu-u.ac.jp