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Blog Tag: Students

June 25, 2024

Generative AI on JSTOR: What we’re learning from early usage, real-world applications, and user feedback

By Kevin Guthrie, President, ITHAKA and Beth LaPensee, Senior Product Manager, ITHAKA
We are actively learning from usage, real-world applications, and user feedback in a limited beta environment to build out capabilities thoughtfully, intentionally, incrementally, and most importantly–based on evidence. This blog post delves into the rationale, construction, and current functionality of JSTOR’s beta generative AI tool, as well as the key themes and insights that have emerged from our analysis of its usage.

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March 22, 2024

From Berkeley to beta: How students helped bring generative AI to JSTOR

By Diba Kaya, Senior User Researcher, ITHAKA
Discover how researchers and students explore the usage of ChatGPT in generative AI. Learn how this collaboration led to JSTOR's AI tool development and improved search features tailored for students' needs, reflecting ITHAKA's community-driven ethos and commitment to expanding knowledge access.

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February 20, 2024

Students need to learn how to read scholarly articles:
Here’s how technology can help

By Jeremy Dean, former Vice President of Education at Hypothesis, and Alex Humphreys, Vice President of Innovation at ITHAKA
Discover how technology like generative AI can aid students in understanding complex concepts while emphasizing the importance of close reading and deep engagement. Explore the potential of social annotation technology in learning to read challenging scholarly materials.

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