Blog Tag: Interactive research tool

JSTOR’s interactive research tool allows users to actively engage with texts by asking questions directly within the tool. Based on user feedback, we created this guide to help you get the most out of this feature. We’ll explore how asking the right types of questions can help you quickly find relevant content, understand complex arguments, and support your research more effectively.

Streamline research, gain metadata insights, and boost student success with JSTOR’s interactive research tool. We’ve designed its new features and enhancements to elevate your research experience.

How can artificial intelligence enhance humanities research and teaching while preserving the discipline’s rich traditions and interpretive depth? This question guided a dynamic session at the 2025 Modern Language Association (MLA) Conference—a gathering of thousands of educators, students, and scholars passionate about language, literature, and culture.

At the Charleston Conference 2024, JSTOR presented its vision for managing and preserving digital collections into the future. “Not Just Another AI Session” highlighted how cutting-edge tools—including JSTOR’s digital collection processing prototype and interactive research tool (beta)—can transform access to archival materials while staying true to JSTOR's nonprofit mission. 

At JSTOR, our mission is to improve access to knowledge and education for people around the world. We're excited to share several new initiatives leveraging cutting-edge technology to make scholarly materials more accessible, interactive, and engaging for our users. Here's a detailed look at the latest advancements we recently shared at ALA 2024 in San Diego.

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.

Discover how Sarah Kiyak, a teacher at Alexandria High School in Virginia, leveraged JSTOR's generative AI tool to enhance student engagement, foster research skills, and streamline workflows in her classroom.

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.

Explore the impact of ChatGPT on the JSTOR academic community and discover JSTOR's research tool in this blog post. Learn about our approach to machine learning and advanced technologies in academia.

Despite these concerns, and in some ways because of them, we are collaborating closely with our community of librarians, faculty, researchers, and students to address the numerous existential questions, institutional concerns, and practical considerations introduced by use AI and other advanced technologies in education. We are great believers in learning both through careful research and through action, and so I want to introduce you to some of the work we have underway.