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Yishen Song; Qianta Zhu; Huaibo Wang; Qinhua Zheng – IEEE Transactions on Learning Technologies, 2024
Manually scoring and revising student essays has long been a time-consuming task for educators. With the rise of natural language processing techniques, automated essay scoring (AES) and automated essay revising (AER) have emerged to alleviate this burden. However, current AES and AER models require large amounts of training data and lack…
Descriptors: Scoring, Essays, Writing Evaluation, Computer Software
Jiyeo Yun – English Teaching, 2023
Studies on automatic scoring systems in writing assessments have also evaluated the relationship between human and machine scores for the reliability of automated essay scoring systems. This study investigated the magnitudes of indices for inter-rater agreement and discrepancy, especially regarding human and machine scoring, in writing assessment.…
Descriptors: Meta Analysis, Interrater Reliability, Essays, Scoring
Doewes, Afrizal; Saxena, Akrati; Pei, Yulong; Pechenizkiy, Mykola – International Educational Data Mining Society, 2022
In Automated Essay Scoring (AES) systems, many previous works have studied group fairness using the demographic features of essay writers. However, individual fairness also plays an important role in fair evaluation and has not been yet explored. Initialized by Dwork et al., the fundamental concept of individual fairness is "similar people…
Descriptors: Scoring, Essays, Writing Evaluation, Comparative Analysis
Yi Gui – ProQuest LLC, 2024
This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…
Descriptors: Writing Tests, Natural Language Processing, Writing Evaluation, Scoring
Ahmet Can Uyar; Dilek Büyükahiska – International Journal of Assessment Tools in Education, 2025
This study explores the effectiveness of using ChatGPT, an Artificial Intelligence (AI) language model, as an Automated Essay Scoring (AES) tool for grading English as a Foreign Language (EFL) learners' essays. The corpus consists of 50 essays representing various types including analysis, compare and contrast, descriptive, narrative, and opinion…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Teaching Methods
Shoeb Saleh; Abdullah Ibrahim Alsubhi – Language Testing in Asia, 2025
This study inspected how techno-competence in artificial intelligence (AI)-driven evaluations affected EFL learners' boredom, self-esteem, and writing skills. To do so, 66 Saudi Arabian male students from Saudi Arabia participated in the study. They were then split into the experimental group (EG) and the control group (CG). While the CG was…
Descriptors: Self Esteem, Writing Skills, Artificial Intelligence, English (Second Language)
Sherkuziyeva, Nasiba; Imamutdinovna Gabidullina, Farida; Ahmed Abdel-Al Ibrahim, Khaled; Bayat, Sania – Language Testing in Asia, 2023
This study aimed to examine the impacts of computerized dynamic assessment (C-DA) and rater-mediated assessment on the test anxiety, writing performance, and oral proficiency of Iranian EFL learners. Based on Preliminary English Test (PET) results, a sample of 64 intermediate participants was chosen from 93 students. Running a convenience sampling…
Descriptors: Comparative Analysis, Computer Assisted Testing, English (Second Language), Second Language Learning
Passonneau, Rebecca J.; Poddar, Ananya; Gite, Gaurav; Krivokapic, Alisa; Yang, Qian; Perin, Dolores – International Journal of Artificial Intelligence in Education, 2018
Development of reliable rubrics for educational intervention studies that address reading and writing skills is labor-intensive, and could benefit from an automated approach. We compare a main ideas rubric used in a successful writing intervention study to a highly reliable wise-crowd content assessment method developed to evaluate…
Descriptors: Computer Assisted Testing, Writing Evaluation, Content Analysis, Scoring Rubrics
Feifei Han; Zehua Wang – OTESSA Conference Proceedings, 2021
This study compared the effects of teacher feedback (TF) and online automated feedback (AF) on the quality of revision of English writing. It also examined the strengths and weaknesses of the two types of feedback perceived by English language learners (ELLs) as a foreign language (FL). Sixty-eight Chinese students from two English classes…
Descriptors: Comparative Analysis, Feedback (Response), English (Second Language), Second Language Instruction
Merzifonluoglu, Ayse; Tulgar, Aysegül Takkac – Reading Matrix: An International Online Journal, 2022
The popularity of technology use in various aspects of individuals' lives has necessitated integrating some form of technologies into language education to have a more effective teaching and learning process. Considering basic and sub-skills in English, vocabulary is probably the most preferred skill to learn by using different technological tools…
Descriptors: Vocabulary Development, Achievement Tests, Creative Writing, Writing Assignments
Wilson, Joshua – Reading and Writing: An Interdisciplinary Journal, 2017
The present study examined growth in writing quality associated with feedback provided by an automated essay evaluation system called PEG Writing. Equal numbers of students with disabilities (SWD) and typically-developing students (TD) matched on prior writing achievement were sampled (n = 1196 total). Data from a subsample of students (n = 655)…
Descriptors: Computer Assisted Testing, Essays, Writing Evaluation, Writing Skills
Tsai, Shu-Chiao – Computer Assisted Language Learning, 2019
This study investigates the impact on extemporaneous English-language first drafts by using Google Translate (GT) in three different tasks assigned to Chinese sophomore, junior, and senior students of English as a Foreign Language (EFL) majoring in English. Students wrote first in Chinese (Step 1), then drafted corresponding texts in English (Step…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Laurie, Robert; Bridglall, Beatrice L.; Arseneault, Patrick – SAGE Open, 2015
The effect of using a computer or paper and pencil on student writing scores on a provincial standardized writing assessment was studied. A sample of 302 francophone students wrote a short essay using a computer equipped with Microsoft Word with all of its correction functions enabled. One week later, the same students wrote a second short essay…
Descriptors: Writing Evaluation, Writing Tests, Computer Assisted Testing, Writing Achievement
Pham, Duc Huu – International Journal of Virtual and Personal Learning Environments, 2019
To help EFL learners realize the use of nominals and clauses in practicing productive skills of academic writing in English writing tests, experiments have been exploited using the tasks similar to those of internet-based test of English as a foreign language to determine the nominal and clause level information during sentence and paragraph…
Descriptors: English (Second Language), Writing Skills, Second Language Learning, Second Language Instruction
Liu, Sha; Kunnan, Antony John – CALICO Journal, 2016
This study investigated the application of "WriteToLearn" on Chinese undergraduate English majors' essays in terms of its scoring ability and the accuracy of its error feedback. Participants were 163 second-year English majors from a university located in Sichuan province who wrote 326 essays from two writing prompts. Each paper was…
Descriptors: Foreign Countries, Undergraduate Students, English (Second Language), Second Language Learning