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UK Department for Education, 2024
From September 2023 to March 2024, Faculty AI, the National Institute of Teaching (NIoT) and ImpactEd Group (representing the AI in Schools Initiative) have worked with the Department for Education (DfE) to deliver the Use Cases for Generative Artificial Intelligence in Education project. The project explored potential applications for Generative…
Descriptors: Artificial Intelligence, Technology Uses in Education, Ethics, Computer Science
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Barrot, Jessie S. – Computer Assisted Language Learning, 2023
Despite the building up of research on the adoption of automated writing evaluation (AWE) systems, the differential effects of automated written corrective feedback (AWCF) on errors with different severity levels and gains across writing tasks remain unclear. Thus, this study fills in the vacuum by examining how AWCF through Grammarly affects…
Descriptors: Automation, Written Language, Error Correction, Feedback (Response)
Cengiz Zopluoglu; Gerald Tindal – Behavioral Research and Teaching, 2023
WriteRightNow (https://writerightnow.com) is an innovative digital platform meticulously crafted to enhance writing instruction across various curricula. Central to its design is the customization of instructional content, allowing for a multi-faceted approach that caters to diverse student needs, including those with special educational…
Descriptors: Automation, Grading, Educational Technology, Technology Uses in Education
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Chen, Huimei; Pan, Jie – Asian-Pacific Journal of Second and Foreign Language Education, 2022
The role of internet technology in higher education and particularly in teaching English as a Foreign language is increasingly prominent because of the interest in the ways in which technology can be applied to support students. The automated evaluation scoring system is a typical demonstration of the application of network technology in the…
Descriptors: Comparative Analysis, Automation, Scoring, Feedback (Response)
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Sumie Chan; Noble Lo; Alan Wong – rEFLections, 2024
This study investigates the impact of feedback generated by large language models (LLMs) on improving the essay-writing skills of first-year university students in Hong Kong. Specifically, it examines how generative AI supports students in revising their essays, enhances engagement with writing tasks, and influences their emotional responses…
Descriptors: Artificial Intelligence, Natural Language Processing, Essays, Automation
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Smith, Chad; Allman, Tamby; Crocker, Samantha – Online Learning, 2017
This study and discussion center upon the use of "YouTube's" automatic captioning feature with college-age adult readers. The study required 75 participants with college experience to view brief middle school science videos with automatic captioning on "YouTube" and answer comprehension questions based on material presented…
Descriptors: Educational Technology, Technology Uses in Education, Video Technology, Middle Schools