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Joan Li; Nikhil Kumar Jangamreddy; Ryuto Hisamoto; Ruchita Bhansali; Amalie Dyda; Luke Zaphir; Mashhuda Glencross – Australasian Journal of Educational Technology, 2024
Generative artificial intelligence technologies, such as ChatGPT, bring an unprecedented change in education by leveraging the power of natural language processing and machine learning. Employing ChatGPT to assist with marking written assessment presents multiple advantages including scalability, improved consistency, eliminating biases associated…
Descriptors: Higher Education, Artificial Intelligence, Grading, Scoring Rubrics
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Jussi S. Jauhiainen; Agustin Bernardo Garagorry Guerra – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This article investigates the process of identifying and correcting hallucinations in ChatGPT-4's recall of student-written responses as well as its evaluation of these responses, and provision of feedback. Effective prompting is examined to enhance the pre-evaluation, evaluation, and post-evaluation stages. Background: Advanced Large…
Descriptors: Artificial Intelligence, Student Evaluation, Writing Evaluation, Feedback (Response)
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Jussi S. Jauhiainen; Agustín Garagorry Guerra – Innovations in Education and Teaching International, 2025
The study highlights ChatGPT-4's potential in educational settings for the evaluation of university students' open-ended written examination responses. ChatGPT-4 evaluated 54 written responses, ranging from 24 to 256 words in English. It assessed each response using five criteria and assigned a grade on a six-point scale from fail to excellent,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Evaluation, Writing Evaluation
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Ramy Shabara; Khaled ElEbyary; Deena Boraie – Teaching English with Technology, 2024
Although there are claims that ChatGPT, an AI-based language model, is capable of assessing the writing of L2 learners accurately and consistently in the classroom, a number of recent studies have shown discrepancies between AI and human raters. Furthermore, there is a lack of studies investigating the intrareliability of ChatGPT scores.…
Descriptors: Foreign Countries, Artificial Intelligence, Scoring Rubrics, Student Evaluation
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Sahin, Alper – Shanlax International Journal of Education, 2021
There are several student performances assessed in Intensive English Programs (IEPs) worldwide in each academic year. These student performances are mostly graded by human raters with a certain degree of error. However, the accuracy of these performance assessments is of utmost importance because they feed data into some high stakes decisions…
Descriptors: Intensive Language Courses, Second Language Instruction, Second Language Learning, English (Second Language)
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Junifer Leal Bucol; Napattanissa Sangkawong – Innovations in Education and Teaching International, 2025
This research paper employs an exploratory framework to evaluate the potential of ChatGPT as an Automated Writing Evaluation (AWE) tool in teaching English as a Foreign Language (EFL) in Thailand. The main objective is to investigate how well ChatGPT can assess students' writing using prompts and pre-defined rubrics compared to human raters.…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, English (Second Language)
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Huda, Miftahul; Irham, Irham – MEXTESOL Journal, 2023
Soon after Kachru (1992) promoted the notion of the World of English(es) through his 'inner-outer-expanding circle' principle, academic audiences started to recognize that the number of English nonnative speakers had noticeably surpassed that of native speakers. Such a phenomenon has encouraged English learners of diverse lingua-cultural…
Descriptors: Language Variation, English (Second Language), Second Language Learning, Second Language Instruction
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Ebadi, Saman; Rahimi, Masoud – Computer Assisted Language Learning, 2019
Drawing on Vygotskian sociocultural theory of mind and social constructivism, and adopting a sequential exploratory mixed-methods approach, this study explored the impact of online dynamic assessment (DA) on EFL learners' academic writing skills through one-on-one individual and online synchronous DA sessions over Google Docs. It also investigated…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Sociocultural Patterns
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Atasoy, Arzu; Temizkan, Mehmet – Educational Sciences: Theory and Practice, 2016
Developed to evaluate secondary school students' writing fluency skills, this study is descriptive in nature and uses a mixed method approach. During the research, the researcher attempted to identify students' abilities to write in terms of quantity and complexity, on the one hand, and also attempted to identify findings on accuracy, the…
Descriptors: Foreign Countries, Student Evaluation, Writing Evaluation, Writing Skills
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Deane, Paul – ETS Research Report Series, 2014
This paper explores automated methods for measuring features of student writing and determining their relationship to writing quality and other features of literacy, such as reading rest scores. In particular, it uses the "e-rater"™ automatic essay scoring system to measure "product" features (measurable traits of the final…
Descriptors: Writing Processes, Writing Evaluation, Student Evaluation, Writing Skills