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Tahereh Firoozi; Okan Bulut; Mark J. Gierl – International Journal of Assessment Tools in Education, 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…
Descriptors: Turkish, Writing Evaluation, Essays, Accuracy
Reagan Mozer; Luke Miratrix; Jackie Eunjung Relyea; James S. Kim – Journal of Educational and Behavioral Statistics, 2024
In a randomized trial that collects text as an outcome, traditional approaches for assessing treatment impact require that each document first be manually coded for constructs of interest by human raters. An impact analysis can then be conducted to compare treatment and control groups, using the hand-coded scores as a measured outcome. This…
Descriptors: Scoring, Evaluation Methods, Writing Evaluation, Comparative Analysis
Husam M. Alawadh; Talha Meraj; Lama Aldosari; Hafiz Tayyab Rauf – SAGE Open, 2024
E-learning systems are transforming the educational sector and making education more affordable and accessible. Recently, many e-learning systems have been equipped with advanced technologies that facilitate the roles of educators and increase the efficiency of teaching and learning. One such technology is Automatic Essay Grading (AEG) or…
Descriptors: Essays, Writing Evaluation, Computer Software, Technology Uses in Education
Sumner, Josh – Research-publishing.net, 2021
Comparative Judgement (CJ) has emerged as a technique that typically makes use of holistic judgement to assess difficult-to-specify constructs such as production (speaking and writing) in Modern Foreign Languages (MFL). In traditional approaches, markers assess candidates' work one-by-one in an absolute manner, assigning scores to different…
Descriptors: Holistic Approach, Student Evaluation, Comparative Analysis, Decision Making
Elif Sari; Turgay Han – Journal of Computer Assisted Learning, 2024
Background: With the growing trend of integrating technology into teaching environments, using Automated Writing Evaluation (AWE) in writing instruction has been extensively studied over the last two decades. The studies on AWE mostly investigated its impact on students' writing proficiencies and revealed conflicting results. However, very few…
Descriptors: Writing Evaluation, Second Language Learning, Second Language Instruction, English (Second Language)
Mohammadi, Mojtaba; Zarrabi, Maryam; Kamali, Jaber – International Journal of Language Testing, 2023
With the incremental integration of technology in writing assessment, technology-generated feedback has found its way to take further steps toward replacing human corrective feedback and rating. Yet, further investigation is deemed necessary regarding its potential use either as a supplement to or replacement for human feedback. This study aims to…
Descriptors: Formative Evaluation, Writing Evaluation, Feedback (Response), Computer Assisted Testing
Waer, Hanan – Innovation in Language Learning and Teaching, 2023
Recent years have witnessed an increased interest in automated writing evaluation (hereafter AWE). However, few studies have examined the use of AWE with apprehensive writers. Hence, this study extends research in this area, investigating the effect of using AWE on reducing writing apprehension and enhancing grammatical knowledge. The participants…
Descriptors: Writing Evaluation, Writing Apprehension, English (Second Language), Second Language Learning
Seifried, Eva; Lenhard, Wolfgang; Spinath, Birgit – Journal of Educational Computing Research, 2017
Writing essays and receiving feedback can be useful for fostering students' learning and motivation. When faced with large class sizes, it is desirable to identify students who might particularly benefit from feedback. In this article, we tested the potential of Latent Semantic Analysis (LSA) for identifying poor essays. A total of 14 teaching…
Descriptors: Computer Assisted Testing, Computer Software, Essays, Writing Evaluation
Xian, Liuyan – Language Teaching Research Quarterly, 2020
From the perspective of Vygotsky's Sociocultural Theory and Zone of Proximal Development (ZPD), dynamic assessment (DA) highlights the role of mediation in the learning process by unveiling the distance between actual learning proficiency and potential learning development. DA is more helpful in fostering students' ability to solve problems…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Outcomes of Education
Franklin, Scott V.; Hermsen, Lisa M. – Physical Review Special Topics - Physics Education Research, 2014
We present a new approach to investigating student reasoning while writing: real-time capture of the dynamics of the writing process. Key-capture or video software is used to record the entire writing episode, including all pauses, deletions, insertions, and revisions. A succinct shorthand, "S notation," is used to highlight significant…
Descriptors: Writing Across the Curriculum, Writing Processes, Abstract Reasoning, Writing Evaluation
Bilbro, J.; Iluzada, C.; Clark, D. E. – Journal on Excellence in College Teaching, 2013
The authors compared student perceptions of audio and written feedback in order to assess what types of students may benefit from receiving audio feedback on their essays rather than written feedback. Many instructors previously have reported the advantages they see in audio feedback, but little quantitative research has been done on how the…
Descriptors: Higher Education, Essays, Writing (Composition), Writing Evaluation
Ramineni, Chaitanya; Trapani, Catherine S.; Williamson, David M.; Davey, Tim; Bridgeman, Brent – ETS Research Report Series, 2012
Scoring models for the "e-rater"® system were built and evaluated for the "TOEFL"® exam's independent and integrated writing prompts. Prompt-specific and generic scoring models were built, and evaluation statistics, such as weighted kappas, Pearson correlations, standardized differences in mean scores, and correlations with…
Descriptors: Scoring, Prompting, Evaluators, Computer Software
Bagheridoust, Esmaeil; Husseini, Zahra – English Language Teaching, 2011
Writing as one important skill in language proficiency demands validity, hence high schools are real places in which valid results are needed for high-stake decisions. Unrealistic and non-viable tests result in improper and invalid interpretation and use. Illustrations without any written research have proved their effectiveness in whatsoever…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Second Language Learning
Cotos, Elena – CALICO Journal, 2011
This paper presents an empirical evaluation of automated writing evaluation (AWE) feedback used for L2 academic writing teaching and learning. It introduces the Intelligent Academic Discourse Evaluator (IADE), a new web-based AWE program that analyzes the introduction section to research articles and generates immediate, individualized, and…
Descriptors: Evidence, Feedback (Response), Academic Discourse, Writing (Composition)
Lai, Yi-hsiu – British Journal of Educational Technology, 2010
The purpose of this study was to investigate problems and potentials of new technologies in English writing education. The effectiveness of automated writing evaluation (AWE) ("MY Access") and of peer evaluation (PE) was compared. Twenty-two English as a foreign language (EFL) learners in Taiwan participated in this study. They submitted…
Descriptors: Feedback (Response), Writing Evaluation, Peer Evaluation, Grading
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