Blog Tag: Faculty

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.

Accessible knowledge opens the door to education. In 2025, explore JSTOR’s open access collections, featuring art, photographs, and cultural archives that empower visual literacy and interdisciplinary discovery.

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. 

Organize, compare, and share your research like never before with JSTOR’s Workspace. Perfect for librarians, faculty, and students, it streamlines resource management and collaboration, making research easier and more efficient.

Discover how educators across various disciplines are creatively using Artstor on JSTOR to enrich their teaching. From ESL to Dance studies, explore 15 inspiring ways high-quality images and media are being integrated into lessons, helping students engage with visual resources in new and innovative ways.

Discover how JSTOR Daily brings scholarly research to a wider audience with open-access posts, linking academic content for context and insight into current events. Explore educational resources for students and instructors, offering models for research and writing techniques.

Enhance visual literacy with "Learning to Look"! Dive into actionable guidance and lesson plans to understand the world through images with Virginia Seymour. Develop vital skills for students and educators alike.

Artstor on JSTOR virtual field trips foster equity, boost engagement, and build visual literacy through immersive, accessible online learning experiences.

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.

Text analysis informs decision-making across a broad swath of industries and domains. Organizations and businesses leverage text analysis to extract meaningful information from a range of texts including customer reviews, social media posts, and support tickets. Researchers use text analysis to find critical information quickly. Text analysis enables automated content categorization for organizing and understanding […]