Reframing Information Literacy Competency Standards and Frameworks for Higher Education in the Age of Artificial Intelligence

Changhong Wu, Lili Li

Abstract


As an emerging disruptive technology, a new high tide of Generative AI and ChatGPT has been
rocking the academic landscape worldwide.1 Generative AI is an artificial intelligence technology
that uses large language models and deep learning technology to generate new content, including
text, images, audio or video.2 According to OpenAI (https://openai.com/), ChatGPT stands for
Generative Pre-Trained Transformer. Based on a large language model, ChatGPT is an AI-powered
chatbot generating natural language responses when it interacts with online users.3 Announced
by OpenAI on September 25, 2023, ChatGPT(4.0) can speak, listen, and process images while
interacting with users.4 ChatGPT(4.0) will provide ChatGPT Plus users with two new innovative
functions: voice interaction and image interaction. Instead of typing texts, users can directly talk to
ChatGPT(4.0) and ChatGPT(4.0) will respond with five different synthetic voices, including different
emotions, pitches, speeds, and tones, to create an immersive feeling like conversing with a real
person. Also, the updated ChatGPT(4.0) can see and analyze the images uploaded by ChatGPT Plus
users. The rise of Generative AI and ChatGPT has revived the scholarly enthusiasm of reinspecting
information literacy competency standards and frameworks in the age of artificial intelligence

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References


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DOI: https://doi.org/10.5860/rusq.60.3.8428

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