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James W. Drisko – Journal of Teaching in Social Work, 2025
The rise of AI generated texts offers promise but creates new challenges for social work teaching. A recent survey found that 89% of higher education students used AI on their homework. AI generated text may be difficult to distinguish from a student's own work, yet are being submitted as the student's own work. This poses new challenges to…
Descriptors: Plagiarism, Social Work, Counselor Training, Artificial Intelligence
Elizabeth L. Wetzler; Kenneth S. Cassidy; Margaret J. Jones; Chelsea R. Frazier; Nickalous A. Korbut; Chelsea M. Sims; Shari S. Bowen; Michael Wood – Teaching of Psychology, 2025
Background: Generative artificial intelligence (AI) represents a potentially powerful, time-saving tool for grading student essays. However, little is known about how AI-generated essay scores compare to human instructor scores. Objective: The purpose of this study was to compare the essay grading scores produced by AI with those of human…
Descriptors: Essays, Writing Evaluation, Scores, Evaluators
Guy J. Krueger – Thresholds in Education, 2025
Generative AI has become a quotidian discussion topic in many writing departments, and the conversations often focus on the negative aspects or the disruptions it has caused. A growing number of teachers and scholars, though, have embraced the new technology and welcomed it into their classrooms. In the Spring 2024 semester, students in my…
Descriptors: Writing Instruction, Artificial Intelligence, Computer Software, Technology Integration
Jonathan M. Golding; Anne Lippert; Jeffrey S. Neuschatz; Ilyssa Salomon; Kelly Burke – Teaching of Psychology, 2025
Background: The advent of generative-artificial intelligence (AI) applications introduces new challenges for colleges. Importantly, the growth of these applications requires faculty to adjust their pedagogy to account for the changing technological landscape. Objective: As colleges wrestle with the implications of these applications, it is…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Humanities
Jamie Costley; Han Zhang; Matthew Courtney; Galina Shulgina; Matthew Baldwin; Mik Fanguy – Computer Assisted Language Learning, 2025
While the use of collaborative peer editing is widespread in some online learning contexts, little is known about how constituent editing behaviours impact student writing quality when using shared online documents as the mediating tool. Therefore, the present study (n = 176) examines the effects of English language learners' peer editing…
Descriptors: Editing, Peer Evaluation, English (Second Language), Second Language Learning
Pong-ampai Kongcharoen; Jiraporn Dhanarattigannon; Intira Bumrungsalee – rEFLections, 2025
In recent years, there has been a growing trend of using informal styles in academic writing, including research articles. To examine the degree of formality in students' writing, this corpus-based study aimed to analyze the formal linguistic features in the academic writing assignments of English-major students at a Thai university. The learner…
Descriptors: Academic Language, Essays, Majors (Students), English (Second Language)
Seval Kemal; Aysegül Liman-Kaban – Asian Journal of Distance Education, 2025
This study conducts a comprehensive analysis of the assessment of journal writing in English as a Foreign Language (EFL) at the secondary school level, comparing the performance of a Generative Artificial Intelligence (GenAI) platform with two human graders. Employing a convergent parallel mixed methods design, quantitative data were collected…
Descriptors: Artificial Intelligence, Secondary School Students, Feedback (Response), Writing Assignments
Jiraporn Dhanarattigannon; Tirote Thongnuan; Pong-ampai Kongcharoen – LEARN Journal: Language Education and Acquisition Research Network, 2025
This true longitudinal study explored the lexical development of L2 university English major students in Thailand using two learner corpora. This study analyzed the natural learners' English language writing assignments from two writing courses and tracked their lexical development over a relatively long period (three years with five batches of…
Descriptors: Majors (Students), English (Second Language), Second Language Learning, Second Language Instruction
Md. Mahadhi Hasan; Anika Sikder; Rashed Mahmud – Language Teaching Research Quarterly, 2025
Some serious instances of plagiarism have been discussed in Bangladesh's institutions, where students, researchers, and even faculty members were given severe penalties. This study explores the factors influencing teachers of English at the tertiary level in Bangladesh regarding plagiarism, including emerging concerns around AI-based plagiarism. A…
Descriptors: Language Teachers, English (Second Language), Second Language Learning, Second Language Instruction
Sara Cotelli Kureth; Elisabeth Paliot; Suzana Zink – Language Learning in Higher Education, 2025
This article analyses a specific strategy designed to include generative artificial intelligence (GenAI) tools in students' written assignments. While we recognise that GenAI tools represent a challenge for teachers in terms of their classroom use and the development of digital literacy among students, we believe that banning them is not a viable…
Descriptors: Artificial Intelligence, Computer Software, Digital Literacy, Technology Integration