aifeducation

1.1.5

Artificial Intelligence for Education

0packages depend

5.8Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Berding FlorianFirst published 2023-08-1514 releasesCRAN page ↗GitHub ↗

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) <doi:10.48550/arXiv.2001.06001>) and imbalanced data via the creation of synthetic cases (e.g. Islam et al. (2012) <doi: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) <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 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.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("aifeducation")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

pak::pak("FBerding/aifeducation")

Development version from FBerding/aifeducation. Requires the pak package.

Release

# one-time r2u setup for Ubuntu (noble)

curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash

# then install

sudo apt install r-cran-aifeducation

Fast Ubuntu binaries via r2u (no compilation). Run the setup once per machine.

bspm (used by r2u) also needs make: sudo apt install make

sudo dnf copr enable iucar/cran

sudo dnf install R-CRAN-aifeducation

RPMs from the iucar/cran COPR, rebuilt from CRAN.

sudo zypper install R-aifeducation

RPMs auto-built from CRAN on openSUSE OBS.

Health

CRAN checks

13OK

Code health

Yes

Tests · ratio 0.25

not tracked

Coverage

100%

Documentation · exports

Yes

Vignettes

Yes

README

Dependencies · direct

Check history

OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-04-22
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Show 1 earlier snapshots

NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Downloads

5.8K

CRAN downloads in the past year

Rank #6,198 · ~16/day · ~483/mo

70530 days

1.7K90 days

5.8K1 year

Also on544 r2u59 autocran

Source & community

GitHub ↗

Repository stars, issues, and contributor activity are not tracked yet.

Dependencies

Declared dependencies

27 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (10)

doParallel foreach iotarelr methods baseRcpp (>= 1.0.10)reshape2 reticulate rlang stringi utils base

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (17)

bslib DT fs future ggplot2 knitr pkgdown promises readtext readxl rmarkdown shiny shinyFiles shinyWidgets shinycssloaders sortable testthat

Enhances (0)

none

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

Code

48,821Lines of code

114Exported functions

Code & tests

Open call graph →

Line coverage

Expression

4.9%

Tests / Examples

4.4% / 0% ex

Functions

229 82 exported

Complexity

4.9 avg / 35 max

Call network

229 nodes / 316 edges

Loading call graph…

Lowest coverage

229 functions

Function	Cyclo	Coverage
add_missing_args exp	11	0%
auto_n_cores exp	4	0%
build_documentation_for_model exp	9	0%
build_layer_stack_documentation_for_vignette exp	3	0%
calc_standard_classification_measures exp	6	0%
calc_tokenizer_statistics exp	6	0%

People & History

People (7)

Maintainer (1)

Berding Florian iD

Author, Maintainer

Authors (1)

Tykhonova Yuliia iD

Author

Contributors (5)

Slopinski Andreas

Contributor

Leube Anna iD

Contributor

Riebenbauer Elisabeth iD

Contributor

Pargmann Julia iD

Contributor

Rebmann Karin

Contributor

Release timeline

14 releases. Pick two to compare their code metrics; R releases are shown for context.

1.1.5Latest
2026-04-26 · current release
R
R 4.6.0 released · 2026-04-24
1.1.4
2026-03-02 · diff ↗
1.1.3
2025-11-19 · diff ↗
1.1.2
2025-10-14 · diff ↗
1.1.1
2025-08-24 · diff ↗
1.1.0
2025-08-19 · diff ↗
R
R 4.5.0 released · 2025-04-11
1.0.2
2025-02-05 · diff ↗
1.0.1
2025-01-28 · diff ↗
1.0.0
2024-12-20 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.3.3
2024-04-22 · diff ↗
0.3.2
2024-03-15 · diff ↗
0.3.1
2024-02-18 · diff ↗
0.3.0
2023-10-10 · diff ↗

Show 1 earlier events

0.2.0
2023-08-15

Package metadata

First published: 2023-08-15
Total releases: 14 / 3 yrs
License: GPL-3 OSI
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet