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aifeducation  

Artificial Intelligence for Education
View on CRAN: Click here


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]
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:
0.2.0 (2023-08-15 12:00), 0.3.0 (2023-10-10 12:30), 0.3.1 (2024-02-18 11:40), 0.3.2 (2024-03-15 22:40)
Other packages that cited aifeducation R package
View aifeducation citation profile
Other R packages that aifeducation depends, imports, suggests or enhances
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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