Journalism College Explores AI-Powered Collaborative Textbook Model

Overview

According to the College of Journalism and Communication, the Network and New Media program has implemented an AI collaborative co-creation and smart learning companion model in its New Media User Research course, establishing a “student-led, AI-assisted” textbook co-creation approach.

Challenges and Solutions

To address outdated textbooks, insufficient personalized guidance, and low student engagement in the rapidly evolving new media industry, the course designed two pathways: student participation in textbook co-creation and data-driven iteration of the Rain Classroom AI companion. Students use AI for case筛选, knowledge structuring, and dynamic material database building, while the Rain Classroom platform provides intelligent Q&A, learning analytics, and study reminders.

Implementation

Textbook Co-creation: Faculty define module frameworks and guide students to use AIGC tools for knowledge mapping, case collection, framework optimization, and content generation. Materials are peer-reviewed and faculty-approved before entering the dynamic database.

AI Companion Optimization: The Rain Classroom AI companion enables one-click Q&A, knowledge point推送, personalized learning profiles, and study reminders. Faculty collect platform data throughout the semester to identify weak points and continuously optimize prompts and the knowledge base.

Outcomes

The model achieves three breakthroughs: a student-AI collaborative textbook mechanism solving content lag; a data-driven AI companion iteration loop improving tutoring accuracy; and an AI-integrated process-based evaluation system linking teaching, learning, assessment, and improvement.

The model has been implemented across multiple classes and is replicable for similar programs at other institutions.

Source: STU Journalism and Communication College (WeChat Official Account)