Results 1 to 10 of about 1,514 (254)

Improving Automated Essay Scoring by Prompt Prediction and Matching [PDF]

open access: yesEntropy, 2022
Automated essay scoring aims to evaluate the quality of an essay automatically. It is one of the main educational application in the field of natural language processing.
Jingbo Sun   +3 more
doaj   +2 more sources

Automated essay scoring with SBERT embeddings and LSTM-Attention networks [PDF]

open access: yesPeerJ Computer Science
Automated essay scoring (AES) is essential in the field of educational technology, providing rapid and accurate evaluations of student writing. This study presents an innovative AES method that integrates Sentence-BERT (SBERT) with Long Short-Term Memory
Yuzhe Nie
doaj   +3 more sources

Automated Essay Scoring Menggunakan Semantic Textual Similarity Berbasis Transformer Untuk Penilaian Ujian Esai

open access: goldJurnal Teknologi Informasi dan Ilmu Komputer, 2023
Ujian berbasis esai seringkali digunakan untuk menguji pemahaman siswa dalam menyelesaikan permasalahan. Tak terkecuali dalam pelaksanaan ujian di Politeknik Statistika STIS. Dalam melakukan penilaian pada jawaban tipe ini, dibutuhkan waktu serta tenaga
Kharisma Ayu Pradani   +1 more
doaj   +5 more sources

Automated Essay Scoring: A Literature Review

open access: greenStudies in Applied Linguistics & TESOL, 2011
In recent decades, large-scale English language proficiency testing and testing research have seen an increased interest in constructed-response essay-writing items (Aschbacher, 1991; Powers, Burstein, Chodorow, Fowles, & Kukich, 2001; Weigle, 2002). The
Ian Blood
doaj   +3 more sources

An LLM-based hybrid approach for enhanced automated essay scoring [PDF]

open access: yesScientific Reports
Automated Essay Scoring systems have traditionally relied on shallow lexical data, such as word frequency and sentence length, to assess essays. However, these approaches neglect crucial factors like text structure and semantics, resulting in limited ...
John Atkinson, Diego Palma
doaj   +2 more sources

Reliability of ChatGPT in automated essay scoring for dental undergraduate examinations [PDF]

open access: yesBMC Medical Education
Background This study aimed to answer the research question: How reliable is ChatGPT in automated essay scoring (AES) for oral and maxillofacial surgery (OMS) examinations for dental undergraduate students compared to human assessors?
Bernadette Quah   +4 more
doaj   +2 more sources

Intelligent text analysis for effective evaluation of english Language teaching based on deep learning [PDF]

open access: yesScientific Reports
With the growing demand for English language teaching, the efficient and accurate evaluation of students’ writing ability has become a key focus in English education.
Yuan Ren, Wenjuan Fan, Jinhai Wang
doaj   +2 more sources

ET-GNN: Ensemble Transformer-Based Graph Neural Networks for Holistic Automated Essay Scoring

open access: goldIEEE Access
Essay writing tasks are crucial for assessing students’ writing skills, but manual evaluation can be time-consuming and prone to inconsistencies. Automated Essay Scoring (AES) offers a solution by automatically evaluating essays, reducing the need
Hind Aljuaid   +4 more
doaj   +2 more sources

A benchmark dataset of narrative student essays with multi-competency grades for automatic essay scoring in Brazilian PortugueseKaggle [PDF]

open access: yesData in Brief
This paper describes the development of a new database comprising 1235 narrative essays written in Portuguese by 5th-grade students in Brazil. The corpus construction process involved three main steps: acquiring and transcribing photos of the essays ...
Hilário Oliveira   +7 more
doaj   +2 more sources

Cross-Prompt Automated Essay Scoring via Reinforcement Learning-Based Data Valuation

open access: goldIEEE Access
Automated essay scoring (AES) aims to automatically grade essays, thereby reducing the time and cost associated with manual scoring. The most common AES methods are classified under the prompt-specific approach, which involves developing a scoring model ...
Takumi Shibata, Masaki Uto
doaj   +2 more sources

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