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Solbee Kim – ProQuest LLC, 2024
Since the release of advanced Large Language Models (LLMs) like ChatGPT in the winter of 2022, educators have been challenged to integrate AI in educational contexts without adequate preparation. This multimethod study aims to provide valuable insights into how students and teachers can make effective, responsible use of AI tools for writing.…
Descriptors: Artificial Intelligence, Writing (Composition), Technology Uses in Education, Computer Software
Paul John; Nina Wolf – CALICO Journal, 2020
Our study examines written corrective feedback generated by two online grammar checkers (GCs), Grammarly and Virtual Writing Tutor, and by the grammar checking function of Microsoft Word. We tested the technology on a wide range of grammatical error types from two sources: a set of authentic ESL compositions and a series of simple sentences we…
Descriptors: English (Second Language), Feedback (Response), Automation, Grammar
Pennington, Robert; Flick, Allison; Smith-Wehr, Kendra – Focus on Autism and Other Developmental Disabilities, 2018
In the current study, we examined the effects of response prompting strategies (i.e., constant time delay, system of least prompts) and frames on sentence writing for three participants, ages 7 to 12, with moderate intellectual disability. We used a concurrent multiple probe across behaviors design to evaluate the efficacy of the intervention…
Descriptors: Prompting, Teaching Methods, Moderate Intellectual Disability, Time
Liu, Sze-Chu; Hung, Po-Yi – Universal Journal of Educational Research, 2016
The purpose of this study is to evaluate the effectiveness of computer assisted pronunciation instruction in English pronunciation for students in vocational colleges and universities in Taiwan. The participants were fifty-one first-year undergraduate students from a technological university located in central Taiwan. The participants received an…
Descriptors: Pronunciation Instruction, Pronunciation, Computer Assisted Instruction, Foreign Countries