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Wong, Man Ho Ivy – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2023
Informed by two usage-based approaches, this study investigated to what extent different types of computer-based training facilitated English preposition learning among intermediate Chinese learners of English. The design of the pedagogical materials was informed by the cognitive linguistics (CL) framework while the training format was motivated…
Descriptors: Teaching Methods, Concept Formation, Computer Assisted Instruction, Comparative Analysis
Bonner, Euan; Lege, Ryan; Frazier, Erin – Teaching English with Technology, 2023
Large Language Models (LLMs) are a powerful type of Artificial Intelligence (AI) that simulates how humans organize language and are able to interpret, predict, and generate text. This allows for contextual understanding of natural human language which enables the LLM to understand conversational human input and respond in a natural manner. Recent…
Descriptors: Teaching Methods, Artificial Intelligence, Second Language Learning, Second Language Instruction
Shim, Yae Jie – Teaching English with Technology, 2013
The error-correction program "Criterion" provides students with an immediate essay feedback using tools that can analyze and review writing automatically. This feedback covers grammar, usage, mechanics, style, organization, and development. With its diagnostic tools for scoring essays and offering relevant feedback, the error-correction…
Descriptors: Error Correction, Writing Evaluation, Essays, Scoring
Stafford, Catherine A.; Bowden, Harriet Wood; Sanz, Cristina – Language Learning, 2012
Input exposure is essential for nonprimary language learning, but the importance of explicit instruction and corrective feedback continues to be debated. If instruction is required, how might it be optimized in terms of its nature and timing? In this study, 65 Spanish-English bilinguals were introduced to Latin through an interactive computer…
Descriptors: Feedback (Response), Experimental Groups, Sentences, Cues

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