AI SciBrief as a Gateway to Research: A Framework for Onboarding Students into New Research Areas
arXiv:2606.12413 · doi:10.1109/TELE66816.2025.11211989
Abstract
Students at all levels of higher education face a significant barrier in the form of information overload, which often paralyzes the initial stages of the research process and suppresses motivation. In response, this article introduces a pedagogical framework that leverages AI SciBrief, a platform powered by a Large Language Model (LLM) designed to automatically generate digests of scientific trends. We describe how this multidisciplinary tool - with initial coverage in finance, medicine, and education - can be integrated into the curriculum to overcome this "entry barrier." The framework provides concrete methodologies for utilizing these digests to facilitate topic selection for term papers, accelerate literature reviews for dissertations, and enable postgraduate students to continuously monitor emerging trends. We conclude that AI SciBrief functions as a "gateway to research" effectively reducing students' cognitive load and empowering them to transition more rapidly from information searching to knowledge creation.
arXiv commentThis is the version of the article accepted for publication in TELE 2025 after peer review. The final, published version is available at IEEE Xplore: https://doi.org/10.1109/TELE66816.2025.11211989