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Rong Yaojun; Kizito Tekwa – Education and Information Technologies, 2025
Research on using generative artificial intelligence (GenAI) chatbots in learning environments continues to underpin research in and out of academia. However, GenAI text-to-video (T2V) models have not been adequately investigated in academia, mostly due to their novelty. That means their potential to improve learning remains to be determined. This…
Descriptors: Artificial Intelligence, Technology Uses in Education, Captions, Video Technology
Marjan Ebadijalal; Shahab Moradkhani – Computer Assisted Language Learning, 2025
The present mixed-methods study aimed at investigating the effects of three writing conditions, including collaborative writing (CW), collaborative prewriting (CPW), and individual writing (IW), on the performance and motivation of 66 Iranian EFL learners in a computer-mediated communication (CMC) context. Data were obtained through a background…
Descriptors: Computer Assisted Instruction, Collaborative Writing, Prewriting, Writing (Composition)
Kessler, Matt; Polio, Charlene; Xu, Cuiqin; Hao, Xuefei – Foreign Language Annals, 2020
Numerous studies have investigated the effects of prewriting tasks on writing quality and language (e.g., individual vs. collaborative planning, text-chat vs. face-to-face [FTF] discussion, etc.). Recent meta-analyses have found a small advantage for text chat on writing, but no studies involved logographic languages, for which character learning…
Descriptors: College Students, Second Language Learning, Chinese, Prewriting
Raymond, Rich – CEA Forum, 2019
To challenge resistance to required literature courses, instructors quiz students regularly on the readings; they also require examinations that ask students to define key terms, to answer background questions focused on authors and dates, to identify key passages by author/title/speaker, and to explain the thematic significance of each quotation.…
Descriptors: English Instruction, English Literature, College English, Teaching Methods
Amiryousefi, Mohammad – Computer Assisted Language Learning, 2017
The current study aimed at investigating the effects of three types of prewriting planning conditions, namely teacher-monitored collaborative planning (TMCP), student-led collaborative planning (SLCP), and individual planning (IP) on EFL learners' computer-mediated L2 written production and learning transfer from a pedagogic task to a new task of…
Descriptors: Prewriting, Collaborative Writing, English (Second Language), Second Language Learning

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