From the Automated Assessment of Student Essay Content to highly informative feedback: A case study

S Gombert, A Fink, T Giorgashvili, I Jivet… - International Journal of …, 2024 - Springer
Various studies empirically proved the value of highly informative feedback for enhancing
learner success. However, digital educational technology has yet to catch up as automated …

[PDF][PDF] La tecnología central detrás y más allá de ChatGPT: Una revisión exhaustiva de los modelos de lenguaje en la investigación educativa

K Leong, A Sung, L Jones - … Journal of Educational Research and Innovation, 2023 - upo.es
ChatGPT ha atraído una gran atención en el sector educativo. Dado que la tecnología
central detrás de ChatGPT es el modelo de lenguaje, este estudio tiene como objetivo …

The core technology behind and beyond ChatGPT: A comprehensive review of language models in educational research

K Leong, A Sung, L Jones - IJERI: International Journal of Educational …, 2023 - upo.es
ChatGPT has garnered significant attention within the education industry. Given the core
technology behind ChatGPT is language model, this study aims to critically review related …

Language models in automated essay scoring: Insights for the Turkish language

T Firoozi, O Bulut, M Gierl - International Journal of Assessment …, 2023 - dergipark.org.tr
The proliferation of large language models represents a paradigm shift in the landscape of
automated essay scoring (AES) systems, fundamentally elevating their accuracy and …

Neural Networks or Linguistic Features?-Comparing Different Machine-Learning Approaches for Automated Assessment of Text Quality Traits Among L1-and L2 …

JF Lohmann, F Junge, J Möller, J Fleckenstein… - International Journal of …, 2024 - Springer
Recent investigations in automated essay scoring research imply that hybrid models, which
combine feature engineering and the powerful tools of deep neural networks (DNNs), reach …

Decreasing the human coding burden in randomized trials with text-based outcomes via model-assisted impact analysis

R Mozer, L Miratrix - arXiv preprint arXiv:2309.13666, 2023 - arxiv.org
For randomized trials that use text as an outcome, traditional approaches for assessing
treatment impact require that each document first be manually coded for constructs of …

Comparing performance of feature extraction methods and machine learning models in essay scoring

L Yao, H Jiao - Chinese/English Journal of Educational Measurement …, 2023 - ce-jeme.org
This study used Kaggle data, the ASAP date set, and applied NLP and Bidirectional Encoder
Representations from Transformers (BERT) for corpus processing and feature extraction …

比较特征提取方法和机器学习模型在作文自动评分中的表现

L Yao, H Jiao - Chinese/English Journal of Educational Measurement …, 2023 - ce-jeme.org
本研究利用特征提取与机器学习方法分析Kaggle 数据, 即ASAP 数据集. 具体而言,
应用自然语言处理(Natural Language Processing, NLP) 和双向编码表示转换模型 …

[HTML][HTML] Разработка и перспективы развития национальной интеллектуальной системы тестирования общеязыковых компетенций (ИСТОК) на базе …

ЕМ Базанова, АВ Горизонтова… - Высшее …, 2023 - cyberleninka.ru
В статье представлены результаты апробации интеллектуальной системы
тестирования общеязыковых компетенций (ИСТОК), разработанной учёными …

The core technology behind and beyond ChatGPT

K Leong, A Sung, L Jones - 2023 - chesterrep.openrepository.com
ChatGPT has garnered significant attention within the education industry. Given the core
technology behind ChatGPT is language model, this study aims to critically review related …