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David W. Brown; Dean Jensen – International Society for Technology, Education, and Science, 2023
The growth of Artificial Intelligence (AI) chatbots has created a great deal of discussion in the education community. While many have gravitated towards the ability of these bots to make learning more interactive, others have grave concerns that student created essays, long used as a means of assessing the subject comprehension of students, may…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Software, Writing (Composition)
Chad C. Tossell; Nathan L. Tenhundfeld; Ali Momen; Katrina Cooley; Ewart J. de Visser – IEEE Transactions on Learning Technologies, 2024
This article examined student experiences before and after an essay writing assignment that required the use of ChatGPT within an undergraduate engineering course. Utilizing a pre-post study design, we gathered data from 24 participants to evaluate ChatGPT's support for both completing and grading an essay assignment, exploring its educational…
Descriptors: Student Attitudes, Computer Software, Artificial Intelligence, Grading
Ahnaf Chowdhury Niloy; Salma Akter; Nayeema Sultana; Jakia Sultana; Sayed Imran Ur Rahman – Journal of Computer Assisted Learning, 2024
Background: The increasing prevalence of Artificial Intelligence (AI) language models, exemplified by ChatGPT, has sparked inquiries into their influence on creative writing skills in educational contexts. This study aims to quantitatively investigate whether ChatGPT's use negatively affects university students' creative writing abilities,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Creative Writing, Writing Ability
Yu-Tzu Chang; Ann Tai Choe; Daniel Holden; Daniel R. Isbell – Language Testing, 2024
In this Brief Report, we describe an evaluation of and revisions to a rubric adapted from the Jacobs et al.'s (1981) ESL COMPOSITION PROFILE, with four rubric categories and 20-point rating scales, in the context of an intensive English program writing placement test. Analysis of 4 years of rating data (2016-2021, including 434 essays) using…
Descriptors: Language Tests, Rating Scales, Second Language Learning, English (Second Language)
Feng Geng; Shulin Yu – English Language Education, 2024
This book incorporates both practice-based information and research to underpin teachers' emotions in the teaching and learning settings of second language (L2) writing, in the Chinese tertiary educational context. It introduces and validates a new conceptual framework for evaluating the causes and effects of the emotions of L2 writing teachers…
Descriptors: Language Teachers, Writing Teachers, Second Language Instruction, Writing Instruction
Andrew Williams – International Journal of Educational Technology in Higher Education, 2024
The value of generative AI tools in higher education has received considerable attention. Although there are many proponents of its value as a learning tool, many are concerned with the issues regarding academic integrity and its use by students to compose written assessments. This study evaluates and compares the output of three commonly used…
Descriptors: Content Area Writing, Artificial Intelligence, Writing Assignments, Biomedicine
Mandy R. Menke – Foreign Language Annals, 2024
Language immersion programs seek to develop multilingual, multiliterate individuals able to engage with academic content. Studies of immersion students' language development provide details regarding language proficiency and accuracy, yet they generally do not address how features of written, academic language, for example, syntactic and lexical…
Descriptors: Spanish, Immersion Programs, Second Language Instruction, Second Language Learning
Xiaohan Liu – Changing English: Studies in Culture and Education, 2024
Although the literature widely acknowledges the benefits of formative writing assessment in daily teaching, there is limited understanding of how frontline teachers implement it and the reasons behind their approach, particularly in EFL secondary school contexts where assessment has predominantly served selective purposes. Drawing on interviews,…
Descriptors: Formative Evaluation, Writing Evaluation, English (Second Language), Second Language Instruction
Jing Yan; Yu Zhu; Xinrong Ye – SAGE Open, 2024
Research on how peer feedback affects second language (L2) writing in higher education has been limited. This study examines the impact of peer feedback on revision and literature review writing in learners of Chinese as an L2 at a university in mainland China. The study analyzed feedback, revisions, and writing performance of 30 students. The…
Descriptors: Peer Evaluation, Feedback (Response), Writing Evaluation, Literature Reviews
Constantinou, Filio; Chambers, Lucy; Zanini, Nadir; Klir, Nicole – Language, Culture and Curriculum, 2020
One of the missions of language education internationally is to enable students to use language in a context-appropriate manner. Against this backdrop, students' ability to linguistically encode formality emerges as an important issue. Using extracts of writing produced by 16-year-old students in 2004 and 2014, this study sought to investigate…
Descriptors: Foreign Countries, Comparative Analysis, Language Usage, English
Falhasiri, Mohammad – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2021
An underexplored question, and one with potentially far-reaching implications for the practice of written corrective feedback (WCF), is whether to mark a wide range of errors (comprehensive feedback) or to focus on a few error types (focused feedback) in learners' L2 writing. Despite limited evidence, it is argued that comprehensive WCF is…
Descriptors: Writing Evaluation, Feedback (Response), Error Correction, Second Language Learning
Deng, Yaochen; Lei, Lei; Liu, Dilin – Applied Linguistics, 2021
In the past two decades, syntactic complexity measures (e.g. the length or number of words per clause/t-unit/sentences and number of clauses per t-unit/sentence, and types of clauses used) have been widely used to determine and benchmark language proficiency development in speaking and writing. (Norris and Ortega 2009; Lu 2011). However, the…
Descriptors: Syntax, Phrase Structure, Second Language Learning, Second Language Instruction
Keller-Margulis, Milena A.; Mercer, Sterett H.; Matta, Michael – Reading and Writing: An Interdisciplinary Journal, 2021
Existing approaches to measuring writing performance are insufficient in terms of both technical adequacy as well as feasibility for use as a screening measure. This study examined the validity and diagnostic accuracy of several approaches to automated text evaluation as well as written expression curriculum-based measurement (WE-CBM) to determine…
Descriptors: Writing Evaluation, Validity, Automation, Curriculum Based Assessment
Romig, John Elwood; Olsen, Amanda A. – Reading & Writing Quarterly, 2021
Compared to other content areas, there is a dearth of research examining curriculum-based measurement of writing (CBM-W). This study conducted a conceptual replication examining the reliability, stability, and sensitivity to growth of slopes produced from CBM-W. Eighty-nine (N = 89) eighth-grade students responded to one CBM-W probe weekly for 11…
Descriptors: Curriculum Based Assessment, Writing Evaluation, Middle School Students, Grade 8
Uto, Masaki; Okano, Masashi – IEEE Transactions on Learning Technologies, 2021
In automated essay scoring (AES), scores are automatically assigned to essays as an alternative to grading by humans. Traditional AES typically relies on handcrafted features, whereas recent studies have proposed AES models based on deep neural networks to obviate the need for feature engineering. Those AES models generally require training on a…
Descriptors: Essays, Scoring, Writing Evaluation, Item Response Theory