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

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dc.contributor.affiliationAalto University-Oulasvirta, Antti
dc.contributor.authorOulasvirta, Antti
dc.date.accessioned2025-04-29T14:02:52Z
dc.date.issued2021-04-14
dc.date.issued2021-04-14
dc.descriptionThis 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).
dc.identifierhttps://doi.org/10.5281/zenodo.5536917
dc.identifier.urihttps://datakatalogi.helsinki.fi/handle/123456789/5417
dc.rights.licensecc-by-4.0
dc.subjectself-teaching
dc.subjectintelligent tutoring
dc.subjectkanji
dc.subjectvocabulary learning
dc.subjectmemory
dc.subjecthuman
dc.titleImproving Artificial Teachers by Considering How People Learn and Forget: Dataset
dc.typedataset

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