Data Download Application

Terms of Use: anonymized data Use Agreement

While the DataChallenge@LAK22 Workshop will give anonymized data to researchers, sometimes it may be possible to link the data that was intended to be anonymized back to individuals.

You agree, as a condition of using the DataChallenge@LAK22 datasets, to the following terms and conditions meant to ensure that student data remains anonymous:

  1. The dataset is only to be used for the purpose of this workshop which is to support educational and learning activities.

  2. After the workshop has finished, the dataset is to be deleted from all systems.

  3. You will not use the data to discover personally identifiable information about the individual students in the study.

  4. If you discover something that can identify students personally, you will both delete it from your computer, and inform the DataChallenge@LAK21 Workshop Organizers ( dclak21 [at] gmail [dot] com ) of this immediately. You will work with the the DataChallenge@LAK22 Workshop Organizer to take steps to make sure data that is supposed to be anonymous is in fact anonymous.

  5. You agree to not give this data to a third party.

  6. You agree to not commercialize this data or use it in a malicious or unintended manner.

  7. When describing the dataset provided by this workshop you will cite the following:


Brendan Flanagan, Hiroaki Ogata, Learning Analytics Platform in Higher Education in Japan, Knowledge Management & E-Learning (KM&EL), Vol.10, No.4, pp.469-484, 2018.

Hiroaki Ogata, Misato Oi, Kousuke Mohri, Fumiya Okubo, Atsushi Shimada, Masanori Yamada, Jingyun Wang, and Sachio Hirokawa, Learning Analytics for E-Book-Based Educational Big Data in Higher Education, In Smart Sensors at the IoT Frontier, pp.327-350, Springer, Cham, 2017.