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AI as a Collaborative Partner: Fostering Peer Feedback and Cooperation for Higher Education Literacy
Abstract
Literacy education aims to develop students' reading, writing, speaking, and listening skills. Collaborative learning and peer feedback can enhance literacy development, but effectively facilitating these in the classroom presents challenges. This chapter explores how artificial intelligence (AI)-driven tools can be leveraged to augment collaboration and peer feedback in literacy tasks. AI features such as machine learning, natural language processing, and sentiment analysis are examined for their potential to make collaborative literacy learning more engaging, equitable, and productive. Examples of existing implementations demonstrate the feasibility of these approaches. Risks such as over-reliance on automation and bias in algorithms are also discussed, emphasizing the importance of human oversight when integrating AI into education.
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