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    AI 시대 정보 리터러시를 위한 ACRL 프레임워크의 확장 논의 = Extending the ACRL Framework for Information Literacy in the Age of AI

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    https://www.riss.kr/link?id=A110091603

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    The emergence of Generative Artificial Intelligence(AI) has fundamentally transformed the information environment, consequently reshaping what constitutes information literacy. In response to these changes, this study attempts to expand the Framework for Information Literacy for Higher Education by the Association of College and Research Libraries (ACRL), by analyzing and reinterpreting its core concepts within the contemporary context of the AI era. To achieve this objective, a conceptual analysis was conducted employing the method of Theory Adaptation. The findings indicate that although the original six frames of the ACRL Framework remain relevant in the age of AI, their meanings and scopes require more precise reinterpretation in light of the distinctive characteristics of AI-driven information environments. Furthermore, to address theoretical gaps identified through literature analysis, the study proposes two additional frames: “Frame 7: Algorithms Reflect Human Values” and “Frame 8: Data Entails Ethical Responsibilities,” emphasizing the value-laden nature of algorithms and the ethical responsibilities associated with data practices. This study contributes to the ongoing discourse by offering a renewed theoretical foundation for information literacy required in the era of Generative AI.
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    The emergence of Generative Artificial Intelligence(AI) has fundamentally transformed the information environment, consequently reshaping what constitutes information literacy. In response to these changes, this study attempts to expand the Framework ...

    The emergence of Generative Artificial Intelligence(AI) has fundamentally transformed the information environment, consequently reshaping what constitutes information literacy. In response to these changes, this study attempts to expand the Framework for Information Literacy for Higher Education by the Association of College and Research Libraries (ACRL), by analyzing and reinterpreting its core concepts within the contemporary context of the AI era. To achieve this objective, a conceptual analysis was conducted employing the method of Theory Adaptation. The findings indicate that although the original six frames of the ACRL Framework remain relevant in the age of AI, their meanings and scopes require more precise reinterpretation in light of the distinctive characteristics of AI-driven information environments. Furthermore, to address theoretical gaps identified through literature analysis, the study proposes two additional frames: “Frame 7: Algorithms Reflect Human Values” and “Frame 8: Data Entails Ethical Responsibilities,” emphasizing the value-laden nature of algorithms and the ethical responsibilities associated with data practices. This study contributes to the ongoing discourse by offering a renewed theoretical foundation for information literacy required in the era of Generative AI.

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