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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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Katherine A. Valentine; Adrea J. Truckenmiller – Intervention in School and Clinic, 2025
Educators are faced with many decisions regarding supporting students' writing. While writing achievement and curriculum-based measure scores provide numbers that are important for high-stakes decisions like determining special education eligibility, they do not provide educators with information on a student's explicit instruction needs. Written…
Descriptors: Writing Evaluation, Writing Skills, Student Evaluation, Special Education
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Roger Lee – e-Journal of Business Education and Scholarship of Teaching, 2024
Reflective Learning Journals are used to engage students in the learning process. To motivate students to complete the Reflective Learning Journal it is common practice to allocate marks and it is in this area that problems arise. To address the problems rubrics have been used however, most rubrics are based on assigning marks to very…
Descriptors: Scoring Rubrics, Reflection, Journal Writing, Student Journals
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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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Thuy Thi-Nhu Ngo; Howard Hao-Jan Chen; Kyle Kuo-Wei Lai – Interactive Learning Environments, 2024
The present study performs a three-level meta-analysis to investigate the overall effectiveness of automated writing evaluation (AWE) on EFL/ESL student writing performance. 24 primary studies representing 85 between-group effect sizes and 34 studies representing 178 within-group effect sizes found from 1993 to 2021 were separately meta-analyzed.…
Descriptors: Writing Evaluation, Automation, Computer Software, English (Second Language)
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Liang Liao – Teaching in Higher Education, 2024
This study explores how assessment criteria are applied in grading student work. It is found that explicit assessment criteria do not work as authoritative guidance as expected and that tacit criteria are more decisive in awarding a certain grade. Various sources that form idiosyncratic tacit criteria are identified. These sources, including…
Descriptors: Student Evaluation, Grading, Criterion Referenced Tests, Criteria
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Meaghan McKenna; Hope Gerde; Nicolette Grasley-Boy – Reading and Writing: An Interdisciplinary Journal, 2025
This article describes the development and administration of the "Kindergarten-Second Grade (K-2) Writing Data-Based Decision Making (DBDM) Survey." The "K-2 Writing DBDM Survey" was developed to learn more about current DBDM practices specific to early writing. A total of 376 educational professionals (175 general education…
Descriptors: Writing Evaluation, Writing Instruction, Preschool Teachers, Kindergarten
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Kuang-yun Ting – Interactive Learning Environments, 2024
Feedback in online learning is essential to improve both teaching and learning. In peer feedback, students discuss their work and the various problems they encounter in their writing. However, learners may not receive constructive feedback if their classmates have lower writing proficiency. Therefore, anonymous peer feedback training was applied…
Descriptors: Student Attitudes, Peer Relationship, Feedback (Response), Online Courses
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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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Li Dong – Reading and Writing: An Interdisciplinary Journal, 2024
Within the context of Chinese university education, effective communication in the field of second language writing heavily relies on lexical complexity, yet the role of writing feedback perception in relation to lexical complexity remains elusive. This study introduces a comprehensive writing feedback perception model encompassing perceptions of…
Descriptors: Foreign Countries, College Students, Feedback (Response), Writing Instruction
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Siv M. Gamlem; Meerita Segaran; Synnøve Moltudal – Assessment in Education: Principles, Policy & Practice, 2024
This study explores lower secondary school teachers' arguments and perceptions for using a 26-point grading scale (26-PGS), and gender differences in assessment practice. An explanatory sequential design was conducted. First, teachers (n = 6) assessment of students' text (n = 182) was analysed. In the subsequent phase, an open-ended questionnaire…
Descriptors: Secondary School Teachers, Teacher Attitudes, Grading, Rating Scales
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Lucia Fraga-Viñas; Maria Bobadilla-Pérez – MEXTESOL Journal, 2025
The upsurge of ICT media and hybrid modalities for learning that stemmed from the world health crisis seem to be destined to stay. In this new paradigm, self-assessment processes have acquired an even more relevant role in the teaching learning process than they already had. Due to the myriad of academic online resources and information at their…
Descriptors: Student Evaluation, Self Evaluation (Individuals), Evaluation Methods, Scoring Rubrics
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Yoko Suganuma Oi – Journal of Pan-Pacific Association of Applied Linguistics, 2023
This study aims to analyse how Japanese first-year university students' writing anxiety in academic writing classes changed over nine months. A total of 102 Japanese first-year university students participated in an academic writing class. Two assessors evaluated the students' compositions, using the same writing assessment rubric. The students…
Descriptors: Foreign Countries, College Freshmen, Academic Language, Anxiety
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Yang Yang; Ze Zheng – Contemporary Educational Technology, 2024
In the existing literature, scholars have proposed various indices to measure the lexical richness (LR) of English as a foreign language (EFL) writing. However, there are currently issues of redundant indices and inconsistent usage. Attempting to address the research question of which indices are the most sensitive and effective ones to…
Descriptors: Foreign Countries, Lexicology, English (Second Language), Writing (Composition)
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Tahani I. Aldosemani; Hussein Assalahi; Areej Lhothali; Maram Albsisi – International Journal of Computer-Assisted Language Learning and Teaching, 2023
This paper explores the literature on AWE feedback, particularly its perceived impact on enhancing EFL student writing proficiency. Prior research highlighted the contribution of AWE in fostering learner autonomy and alleviating teacher workloads, with a substantial focus on student engagement with AWE feedback. This review strives to illuminate…
Descriptors: Automation, Student Evaluation, Writing Evaluation, English (Second Language)
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