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.

翻译：各层次高等教育学生普遍面临信息过载这一显著障碍，该问题常导致研究初期进程停滞并抑制学习动机。为此，本文提出一种基于大型语言模型（LLM）驱动的AI SciBrief平台的教学框架，该平台可自动生成科学趋势摘要。我们阐述了如何将这一首批覆盖金融、医学和教育领域的多学科工具整合至课程体系中，以突破"准入壁垒"。该框架提供了利用这些摘要开展学期论文选题、加速学位论文文献综述、以及支持研究生持续追踪新兴趋势的具体方法论。研究结论表明，AI SciBrief作为"研究入口"可有效降低学生认知负荷，使其能够更快速地从信息检索阶段过渡至知识创造阶段。