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aifeducation
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Download and install aifeducation package within the R console
Install from CRAN:
install.packages("aifeducation")
Install from Github:
library("remotes")
install_github("cran/aifeducation")
Install by package version:
library("remotes")
install_version("aifeducation", "0.3.3")
Attach the package and use:
library("aifeducation")
Maintained by
Berding Florian
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-15
Latest Update: 2024-02-18
Description:
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 'keras',
'tensorflow', and '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. Lee (2013)
,
Cascante-Bonilla et al. (2020) ) and
imbalanced data via the creation of synthetic cases (e.g.
Bunkhumpornpat et al. (2012) ).
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) ,
Gwet (2014) , Krippendorff (2019)
). 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.
How to cite:
Berding Florian (2023). aifeducation: Artificial Intelligence for Education. R package version 0.3.3, https://cran.r-project.org/web/packages/aifeducation. Accessed 06 Nov. 2024.
Previous versions and publish date:
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Complete documentation for aifeducation
Functions, R codes and Examples using
the aifeducation R package
Some associated functions: AifeducationConfiguration . EmbeddedText . TextEmbeddingClassifierNeuralNet . TextEmbeddingModel . aifeducation_config . array_to_matrix . bow_pp_create_basic_text_rep . bow_pp_create_vocab_draft . check_aif_py_modules . check_embedding_models . combine_embeddings . create_bert_model . create_deberta_v2_model . create_funnel_model . create_iota2_mean_object . create_longformer_model . create_roberta_model . create_synthetic_units . generate_id . get_coder_metrics . get_folds . get_n_chunks . get_stratified_train_test_split . get_synthetic_cases . get_train_test_split . install_py_modules . load_ai_model . matrix_to_array_c . save_ai_model . set_config_cpu_only . set_config_gpu_low_memory . set_config_os_environ_logger . set_config_tf_logger . set_transformers_logger . split_labeled_unlabeled . summarize_tracked_sustainability . test_classifier_sustainability . test_metric_mean . train_tune_bert_model . train_tune_deberta_v2_model . train_tune_funnel_model . train_tune_longformer_model . train_tune_roberta_model .
Some associated R codes: RcppExports.R . aux_fct.R . data.R . install_and_config.R . onLoad.R . preparation.R . saving_and_loading.R . sustainability.R . te_classifier_neuralnet_model.R . text_embedding_model.R . transformer_bert.R . transformer_deberta_v2.R . transformer_funnel.R . transformer_longformer.R . transformer_roberta.R . Full aifeducation package functions and examples
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