ERIC Number: EJ1417527
Record Type: Journal
Publication Date: 2023
Pages: 15
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2148-7456
Available Date: N/A
Language Models in Automated Essay Scoring: Insights for the Turkish Language
International Journal of Assessment Tools in Education, v10 spec iss p148-162 2023
The proliferation of large language models represents a paradigm shift in the landscape of automated essay scoring (AES) systems, fundamentally elevating their accuracy and efficacy. This study presents an extensive examination of large language models, with a particular emphasis on the transformative influence of transformer-based models, such as BERT, mBERT, LaBSE, and GPT, in augmenting the accuracy of multilingual AES systems. The exploration of these advancements within the context of the Turkish language serves as a compelling illustration of the potential for harnessing large language models to elevate AES performance in in low-resource linguistic environments. Our study provides valuable insights for the ongoing discourse on the intersection of artificial intelligence and educational assessment.
Descriptors: Turkish, Writing Evaluation, Essays, Accuracy, Artificial Intelligence, Multilingualism, Educational Assessment, Correlation, Evaluation Methods, Computer Software, Scoring, Programming Languages, Natural Language Processing, Foreign Countries
International Journal of Assessment Tools in Education. Pamukkale University, Faculty of Education, Kinikli Campus, Denizli 20070, Turkey. e-mail: ijate.editor@gmail.com; Web site: https://ijate.net/index.php/ijate
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
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Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Turkey
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Author Affiliations: N/A