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  • Feiwen Xiao, Priscilla Zhao, Hanyue Sha,...
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    Mar 28th, 2023
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    journalArticle
    Feiwen Xiao, Priscilla Zhao, Hanyue Sha,...
    Mar 28th, 2023

    Due to advances in technology, conversational agents are emerging as intelligent spoken dialogue systems that simulate natural conversation with human beings. A growing body of literature has investigated the potential of conversational agents in enhancing language learning across multiple contexts. In this paper, a broad scoping review examining the current literature on conversational agents and language learning was conducted. This review mapped APA PsycINFO, ERIC and ProQuest...

  • Jacob Steiss, Tamara Tate, Steve Graham,...
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    Jun 14th, 2024
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    journalArticle
    Jacob Steiss, Tamara Tate, Steve Graham,...
    Jun 14th, 2024

    Structured Abstract Background Offering students formative feedback on their writing is an effective way to facilitate writing development. Recent advances in AI (i.e., ChatGPT) may function as an automated writing evaluation tool, increasing the amount of feedback students receive and diminishing the burden on teachers to provide frequent feedback to large classes. Aims We examined the ability of generative AI (ChatGPT) to provide formative feedback. We compared the quality of human and AI...

  • Ying Xu, Dakuo Wang, Mo Yu
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    Dec 14th, 2022
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    journalArticle
    Ying Xu, Dakuo Wang, Mo Yu
    Dec 14th, 2022

    Question answering (QA) is a fundamental means to facilitate assessment and training of narrative comprehension skills for both machines and young children, yet there is scarcity of high-quality QA datasets carefully designed to serve this purpose. In particular, existing datasets rarely distinguish fine-grained reading skills, such as the understanding of varying narrative elements. Drawing on the reading education research, we introduce FairytaleQA, a dataset focusing on narrative...

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