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Liuying Gong; Jingyuan Chen; Fei Wu – IEEE Transactions on Learning Technologies, 2025
The capabilities of large language models (LLMs) in language comprehension, conversational interaction, and content generation have led to their widespread adoption across various educational stages and contexts. Given the fundamental role of education, concerns are rising about whether LLMs can serve as competent teachers. To address the…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Comparative Analysis
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Yi Li; Ghulfam Sadiq; Ghulam Qambar; Pengyu Zheng – Education and Information Technologies, 2025
Integrating ChatGPT into educational contexts has become prevalent due to its potential to revolutionize teaching, learning, and research. However, to ensure positive use, it is necessary to design learning environments that effectively incorporate this technology. This study employed self-determination theory as an undergirding framework to…
Descriptors: Student Research, Independent Study, Undergraduate Students, Correlation
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Dennis Murphy Odo – Language Learning & Technology, 2025
There is currently limited investigation of readers' comprehension of AI simplified text from the perspective of educators, but such research can help to more effectively address the specific needs and perspectives of language teachers and learners regarding the comprehensibility of AI simplified text. Therefore, the purpose of this study was to…
Descriptors: Reading Comprehension, Artificial Intelligence, Computer Software, Technology Integration
Luckin, Rosemary – UCL IOE Press, 2018
Intelligence is at the heart of what makes us human, but the methods we use for identifying, talking about and valuing human intelligence are impoverished. We invest artificial intelligence (AI) with qualities it does not have and, in so doing, risk losing the capacity for education to pass on the emotional, collaborative, sensory and…
Descriptors: Man Machine Systems, Educational Trends, Artificial Intelligence, Capacity Building
Underwood, John H. – 1984
This analysis of the state of the art of computer programs and programming for language teaching has two parts. In the first part, an overview of the theory and practice of language teaching, Noam Chomsky's view of language, and the implications and problems of generative theory are presented. The theory behind the input model of language…
Descriptors: Artificial Intelligence, Authoring Aids (Programing), Communicative Competence (Languages), Comparative Analysis