aifeducation: Artificial Intelligence for Education
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, often leading to small data sets. Furthermore, data
in the educational and social sciences 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 'keras' and
'tensorflow' to deal with natural language problems. The tools
integrate existing mathematical and statistical methods for dealing
with small data sets via pseudo-labeling (e.g. Lee (2013)
<https://www.researchgate.net/publication/280581078_Pseudo-Label_The_Simple_and_Efficient_Semi-Supervised_Learning_Method_for_Deep_Neural_Networks>,
Cascante-Bonilla et al. (2020) <doi:10.48550/arXiv.2001.06001>) and
imbalanced data via the creation of synthetic cases (e.g.
Bunkhumpornpat et al. (2012) <doi:10.1007/s10489-011-0287-y>).
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) <doi:10.30819/5581>,
Gwet (2014) <ISBN:978-0-9708062-8-4>, Krippendorff (2019)
<doi:10.4135/9781071878781>). Estimation of energy consumption and CO2
emissions during training models is done with the 'python' library
'codecarbon'. Finally, all objects created with this package allow to
share trained AI with other people.
| Version: |
0.2.0 |
| Depends: |
foreach, quanteda, R (≥ 3.5.0) |
| Imports: |
abind, doParallel, iotarelr (≥ 0.1.4), irr, irrCAC, methods, Rcpp (≥ 1.0.10), reshape2, reticulate, smotefamily, stringr, text2vec, tidytext, topicmodels, udpipe, utils |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
knitr, quanteda.textmodels, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2023-08-15 |
| Author: |
Berding Florian 
[aut, cre],
Pargmann Julia [ctb],
Riebenbauer Elisabeth [ctb],
Rebmann Karin [ctb],
Slopinski Andreas [ctb] |
| Maintainer: |
Berding Florian <florian.berding at uni-hamburg.de> |
| License: |
GPL-3 |
| NeedsCompilation: |
yes |
| Citation: |
aifeducation citation info |
| Materials: |
README |
| CRAN checks: |
aifeducation results |
Documentation:
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