This chapter explores how generative AI can support the research stage of writing without replacing the information literacy central to scholarly work. While acknowledging the risks of AI “hallucinations,” the chapter demonstrates how AI can enhance traditional research skills (developing research questions, generating keywords, locating databases, evaluating sources, analyzing articles, and organizing literature) when used with care and intention. Through AI-assisted exercises like source evaluation, keyword mapping, database search planning, and annotated bibliography development, the chapter helps student writers build research fluency while maintaining academic integrity. A recurring example involving a psychology student writing a paper on video game addiction and Cognitive Behavioral Therapy (CBT) illustrates the strategies in practice.

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Research

  • Nathan Jung

摘要

This chapter explores how generative AI can support the research stage of writing without replacing the information literacy central to scholarly work. While acknowledging the risks of AI “hallucinations,” the chapter demonstrates how AI can enhance traditional research skills (developing research questions, generating keywords, locating databases, evaluating sources, analyzing articles, and organizing literature) when used with care and intention. Through AI-assisted exercises like source evaluation, keyword mapping, database search planning, and annotated bibliography development, the chapter helps student writers build research fluency while maintaining academic integrity. A recurring example involving a psychology student writing a paper on video game addiction and Cognitive Behavioral Therapy (CBT) illustrates the strategies in practice.