EZYer: A simulacrum of high school with generative agent
Jinming Yang, Zimu Ji, Weiqi Luo, Gaoxi Wang, Bin Ma, Yueling Deng

TL;DR
EZYer is an advanced educational simulation platform that uses generative agents to create high-quality, interactive high school mathematics courseware and notes, enhancing online education with structured content and pedagogical interactivity.
Contribution
This paper introduces EZYer, a novel generative agent system for high school education that integrates multiple modules for content creation, interaction, and quality control, improving upon existing educational tools.
Findings
EZYer-generated content scores high on accuracy and coverage.
The system produces high-quality Beamer presentations and notes.
EZYer's content quality is validated as excellent across multiple models.
Abstract
With the rapid development of the online education and large language model, the existing educational tools still suffer from incomplete service, insufficient performance and weak interactivity in terms of courseware generation, interactive notes and quality assurance of content. In particular, the proposed generative agent EZYer : 1) Teacher Module: Integrating the Text Corpus retrieval and in-depth generation technologies, it automatically generates structured teaching materials and LaTeX Beamer courseware in line with the high school mathematics syllabus and supports user-defined image insertion. 2) Student Module: Throughout the collaborative interaction of the four roles of Teacher, Assistant, Top Student and Struggling Student, Note Taker summarizes and generates academic notes to enhance the depth and interest of learning. 3) Controller: set up keyword filtering system, content…
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Taxonomy
TopicsAI in Service Interactions · Multimodal Machine Learning Applications · Intelligent Tutoring Systems and Adaptive Learning
