Team

Ehsan applies AI, big data, and computational methods to questions in information science and digital environments. His work includes analytics using quantitative and qualitative approaches to understand how people create, share, and use information online. He leads the project’s AI content to ensure concepts are accurate, current, and accessible for school librarians.

Jennifer focuses on school librarianship education, evidence-based practice, and curriculum development for library and learning contexts. Her work centers on designing instruction that helps librarians teach emerging literacies and support student learning. She leads the project’s research and curriculum development to ensure materials are practical, adaptable, and aligned with secondary school library needs.

Quynh is a PhD student at the University of South Carolina who is interested in how data and technology address contemporary information challenges. She is excited to work on interdisciplinary projects that connect people, data, and technological systems.

Samaneh has a background in computer science, teaching, communication, and research. She builds bridges between computer science and information science, with a focus on AI literacy, information literacy, and helping people navigate mass information and avoid misleading content.

Amirreza joined the School of Information Science at the University of South Carolina in August 2024. His research interests include human centered AI, information behavior, and computational methods for studying digital information spaces.

Jean supports school library programs with a focus on responsible technology use and ethical decision-making around AI. Her work emphasizes practical guidance that helps educators and students navigate AI thoughtfully. She advises on ethics-informed implementation and helps keep the curriculum relevant to real school library practice.

Elissa works at the intersection of school libraries, instructional technology, and AI in education. Her practice and writing focus on how librarians can lead AI-aware teaching and learning in schools. She advises on classroom-ready integration and helps ensure the curriculum fits day-to-day library instruction.

Verity supports teaching and learning as a school librarian and instructional technology coach. Her work includes reviewing and implementing curriculum that builds digital and AI-related literacies for students. She provides feedback on usability, pacing, and instructional effectiveness for secondary school settings.

Enilda works in learning design and educational technology, studying how to build effective, engaging learning experiences. Her scholarship includes instructional design, professional learning, and evaluating educational interventions. She provides feedback on curriculum structure, learning outcomes, and evaluation to strengthen the project’s learning design.

Souvick studies AI-driven information systems and how people interact with AI in library and learning contexts. His work emphasizes human-centered approaches to designing and evaluating AI-supported services and instruction. He advises on integrating AI literacy into library settings and supports the development of curriculum assessment approaches.

Alamir examines cognition, information behavior, and user experience in the ways people seek, interpret, and apply information. His work helps translate behavioral insights into effective learning and system design. He advises on learner-centered instructional strategies and how secondary students understand and interact with AI.