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Natalie Kramar; Yaroslava Bedrych; Zinaida Shelkovnikova – Advanced Education, 2024
Mastering academic writing skills in English is essential for future researchers. At present, AI language processing tools provide high-quality, accessible, and fast assistance for translation, editing, and stylistic enhancement of scientific texts. However, their use within English for Academic Purposes (EAP) courses generates mixed reactions…
Descriptors: Doctoral Students, Student Attitudes, Artificial Intelligence, Man Machine Systems
Sam Pryke; Michael Rees; Gemma Witton – Interactive Learning Environments, 2024
This article is the first to examine the use of screen-capture video feedback on student assignments on a social science degree at a British university. It is based on qualitative, focus group, research with students who received one or more video recordings on their academic work over the period 2019-2021. The article first places video feedback…
Descriptors: Student Attitudes, Video Technology, Educational Technology, Feedback (Response)
Yumei Zou; Sathiamoorthy Kannan; Gurnam Kaur Sidhu – SAGE Open, 2024
Task design has been viewed to be essential in the context of language assessment. This study investigated whether increasing task complexity affects learners' writing performance. It employs three writing tasks with different levels of complexity based on Robinson's Componential Framework. A cohort of 278 participants was selected using a simple…
Descriptors: Difficulty Level, College Students, Foreign Countries, Writing Achievement
Jana Majercíková – Journal of Pedagogy, 2024
The paper discusses the issue of homework in primary education in Slovakia. It attempts to contribute to uncovering the homework narrative that is created and used by its teaching staff and to relate it to the discourse on homework and its place in education in the Anglo-American environment. The research used content analysis of the written…
Descriptors: Foreign Countries, Elementary Education, Homework, Elementary School Teachers
Yunying Yang; Jinwen Luo; Miaoyan Yang; Runde Yang; Jiayin Chen – Studies in Higher Education, 2024
Recent emergence of generative artificial intelligence (GenAI) technology has stimulated interests as well as concerns in their potential in teaching and learning. Situated in the new and transforming context, this study provides an avenue for students to introspectively explore their use of GenAI in a postgraduate course. Seventy-four students…
Descriptors: Personal Autonomy, Artificial Intelligence, Learning Processes, Technology Uses in Education
Kai Guo; Deliang Wang – Education and Information Technologies, 2024
ChatGPT, the newest pre-trained large language model, has recently attracted unprecedented worldwide attention. Its exceptional performance in understanding human language and completing a variety of tasks in a conversational way has led to heated discussions about its implications for and use in education. This exploratory study represents one of…
Descriptors: Feedback (Response), English (Second Language), Artificial Intelligence, Natural Language Processing
Jae Q. J. Liu; Kelvin T. K. Hui; Fadi Al Zoubi; Zing Z. X. Zhou; Dino Samartzis; Curtis C. H. Yu; Jeremy R. Chang; Arnold Y. L. Wong – International Journal for Educational Integrity, 2024
The application of artificial intelligence (AI) in academic writing has raised concerns regarding accuracy, ethics, and scientific rigour. Some AI content detectors may not accurately identify AI-generated texts, especially those that have undergone paraphrasing. Therefore, there is a pressing need for efficacious approaches or guidelines to…
Descriptors: Artificial Intelligence, Investigations, Identification, Human Factors Engineering
Roya Goodarzi; Javad Gholami; Zeinab Abdollahpour – Language Teaching Research Quarterly, 2024
Lexical bundles (LBs) are frequent groups of words that appear repeatedly in different academic texts. A plethora of research has explored their distribution and usage in general, particularly in academic texts. However, to our knowledge, the extent of research investigating LBs in the discussion sections of Medical Research Articles (MRAs) is…
Descriptors: Phrase Structure, Medical Research, Computational Linguistics, Computer Software
Ilhan Polat; Hakan Dedeoglu – Reading & Writing Quarterly, 2024
Choosing a writing topic poses a particularly serious challenge for young learners. Topic selection affects all other steps of the writing process. Therefore, the writing topic should be related to a subject that the student knows about, is interested in, and can produce content on. Basing writing on students' immediate environment and experiences…
Descriptors: Writing (Composition), Writing Skills, Narration, Writing Assignments
Jennifer M. Higgs; Amy Stornaiuolo – Reading Research Quarterly, 2024
The recent unveiling of chatbots such as ChatGPT has catalyzed vigorous debates about generative AI's impact on how learners read, write, and communicate. Largely missing from these debates is careful consideration of how young people are experiencing AI in their everyday lives and how they are making sense of the questions that these rapidly…
Descriptors: High School Students, High School Teachers, English Instruction, Artificial Intelligence
Xue Yin; Mohd Rashid Bin Mohd Saad; Huzaina Binti Abdul Halim – Cogent Education, 2024
The objective of this study was to develop a Technology-Enhanced Social Learning (TSL) model that effectively cultivates critical thinking dispositions (CTD) and subject-specific critical thinking in writing (CTW) to serve as a reliable standard and point of reference for instructors in English as a Foreign Language (EFL) classrooms. The objective…
Descriptors: Technology Uses in Education, Socialization, Critical Thinking, Writing (Composition)
Jihyun Kim; Stephanie Kelly; Alex X. Colón; Patric R. Spence; Xialing Lin – Communication Education, 2024
Although artificial intelligence (AI) tools (e.g., ChatGPT) have potential to act as a transformative educational tool, the widespread adoption of such technology also brings forth concerns related to academic integrity and learning gaps. This study examines whether class discussions on the negative aspects of AI-driven writing assistance have any…
Descriptors: Technology Integration, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Brian Hand; Gavin Fulmer; Jee Kyung Suh – Journal of Education for Teaching: International Research and Pedagogy, 2024
National standards that centre on the underpinning epistemic practices of the discipline has emphasised the need for teachers to focus much more on knowledge generation approaches to learning. Adopting a complexity perspective, we attempt to understand how teachers shift over time by examining their epistemic orientation to knowledge generation…
Descriptors: Knowledge Level, Epistemology, Language Usage, Dialogs (Language)
Yasmin Chowdhury – ProQuest LLC, 2024
There was a surge in online learning and education during the COVID-19 pandemic, which means that prior research findings need to be tested against what happened during that time frame in order to see if it still holds up. When largely using computers and online settings to communicate with one another in the teaching realm, how did this impact…
Descriptors: Feedback (Response), Electronic Learning, Student Attitudes, Student Behavior
Morgan J. Clark; Micke Reynders; Thomas A. Holme – Journal of Chemical Education, 2024
In the field of education, ChatGPT has become a topic of debate for its usefulness as a learning tool. This article focuses on non-science majors' (n = 29) perceptions of a ChatGPT enabled final exam, where, prior to the exam, students wrote papers on science and sustainability and, during the final exam, students were asked to compare their paper…
Descriptors: Student Experience, Artificial Intelligence, Natural Language Processing, Tests

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