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Published April 14, 2021 | Version 1.0.0
Dataset Open

Improving Artificial Teachers by Considering How People Learn and Forget: Dataset

  • 1. Aalto University
  • 2. University of Helsinki

Description

This dataset contains the results of the experiment described in Nioche et al. (2021)

This dataset contains 4 data files:

  • data.csv: the main data file.
  • stimuli.csv: the description/listing of the stimuli.
  • demographic_info.csv: the demographic information about the users.
  • data_incl_preliminary_exp.csv: an additional data file that includes the user of the preliminary experiments

The main data file contains the logs of 53 different users using a self-teaching application for one week. The goal of the users was to learn the English meaning of Japanese kanji. Each user completed between 1370 trials and 1608 trials. Each user saw between 85 and 204 characters. 

Two additional files are also joint to the data files:

  • info.ipynb: A Jupyter notebook that provides information about each data file, a few descriptive plots, and an example of data manipulation.
  • info.pdf: A pdf rendering of the notebook.

If you use this dataset, please refer to it by citing Nioche et al. (2021).

Files

data.csv

Files (24.9 MB)

Name Size Download all
md5:f8ce8a120b1e7d0886fa8e4bbd7d3c10
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md5:caa4000e5b19f9556b9d19c700224d4b
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md5:73b2d33504ad6d61a1ad5811e8a7a7ae
2.2 kB Preview Download
md5:b908cbd9538814134b02ad7df9c91364
221.7 kB Preview Download
md5:f486e3754b802ef0c7b5ddeaaae62b6e
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md5:85a39f70a13b6e47f82e8f77dd9913f6
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Additional details

Related works

Is supplement to
Conference paper: 10.1145/3397481.3450696 (DOI)

Funding

Human Automata: Simulator-based Methods for Collaborative AI 328813
Research Council of Finland
Department of Communications and Networking 318559
Research Council of Finland

References

  • Aurelien Nioche, Pierre-Alexandre Murena, Carlos de la Torre-Ortiz, and Antti Oulasvirta. 2021. Improving Artificial Teachers by Considering How People Learn and Forget. In 26th International Conference on Intelligent User Interfaces (IUI '21). Association for Computing Machinery, New York, NY, USA, 445–453. DOI:https://doi.org/10.1145/3397481.3450696