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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "aifeducation" in publications use:'
type: software
license: GPL-3.0-only
title: 'aifeducation: Artificial Intelligence for Education'
version: 1.1.5
identifiers:
- type: doi
  value: 10.32614/CRAN.package.aifeducation
abstract: In social and educational settings, the use of Artificial Intelligence (AI)
  is a challenging task. Relevant data is often only available in handwritten forms,
  or the use of data is restricted by privacy policies. This often leads to small
  data sets. Furthermore, in the educational and social sciences, data is often unbalanced
  in terms of frequencies. To support educators as well as educational and social
  researchers in using the potentials of AI for their work, this package provides
  a unified interface for neural nets in 'PyTorch' to deal with natural language problems.
  In addition, the package ships with a shiny app, providing a graphical user interface.
  This allows the usage of AI for people without skills in writing python/R scripts.
  The tools integrate existing mathematical and statistical methods for dealing with
  small data sets via pseudo-labeling (e.g. Cascante-Bonilla et al. (2020) <https://doi.org/10.48550/arXiv.2001.06001>)
  and imbalanced data via the creation of synthetic cases (e.g. Islam et al. (2012)
  <https://doi.org/10.1016/j.asoc.2021.108288>). Performance evaluation of AI is connected
  to measures from content analysis which educational and social researchers are generally
  more familiar with (e.g. Berding & Pargmann (2022) <https://doi.org/10.30819/5581>,
  Gwet (2014) <ISBN:978-0-9708062-8-4>, Krippendorff (2019) <https://doi.org/10.4135/9781071878781>).
  Estimation of energy consumption and CO2 emissions during model training is done
  with the 'python' library 'codecarbon'. Finally, all objects created with this package
  allow to share trained AI models with other people.
authors:
- family-names: Florian
  given-names: Berding
  email: florian.berding@uni-hamburg.de
  orcid: https://orcid.org/0000-0002-3593-1695
- family-names: Yuliia
  given-names: Tykhonova
  email: yuliia.tykhonova@uni-hamburg.de
  orcid: https://orcid.org/0009-0006-9015-1006
preferred-citation:
  type: manual
  title: AI for Education (aifeducation). A R package for educators and reserachers
    of the educational and social sciences.
  authors:
  - family-names: Berding
    given-names: Florian
  - family-names: Tykhonova
    given-names: Yuliia
  - family-names: Pargmann
    given-names: Julia
  - family-names: Riebenbauer
    given-names: Elisabeth
  - family-names: Rebmann
    given-names: Karin
  - family-names: Slopinski
    given-names: Andreas
  year: '2024'
  url: https://fberding.github.io/aifeducation/index.html
repository: https://cran.r-universe.dev
repository-code: https://github.com/FBerding/aifeducation
commit: 8b507b00f23d55a3f46b170bbba3ac2b06297040
url: https://fberding.github.io/aifeducation/
date-released: '2026-04-25'
contact:
- family-names: Florian
  given-names: Berding
  email: florian.berding@uni-hamburg.de
  orcid: https://orcid.org/0000-0002-3593-1695