用多模态AI聊天机器人提升高校教学个性化与反馈效率
Enhancing Higher Education with Generative AI: A Multimodal Approach for Personalised Learning
- 结合ChatGPT与Bard实现文本与图像交互，支持问答与代码转换
- 通过情感分析和摘要生成，帮助教师洞察学生反馈并提炼关键指标
- 适用于高校教师与教育技术开发者，推动智能教学系统落地
本研究通过设计并开发一款面向本科生课程的多模态聊天机器人，探索生成式AI在高等教育中的应用潜力。利用ChatGPT API实现细致文本交互，结合Google Bard完成图像分析与图示转代码功能，展示生成式AI在应对多样化教育问题上的可行性。此外，聊天机器人内置文件分析模块，为教师提供学生反馈的情感与情绪分析，并对课程评价进行摘要与关键指标提取。这些整合凸显了多模态对话式AI在提升教学与学习过程中的关键作用，有望显著增强教育适应性、参与度与反馈分析能力。通过展示一个实用的Web应用，本研究强调了将生成式AI技术融入教育体系的必要性，以构建更动态、响应更快的教学环境，最终促进教育成效与教学策略优化。
原文摘要 · Abstract (English)
This research explores the opportunities of Generative AI (GenAI) in the realm of higher education through the design and development of a multimodal chatbot for an undergraduate course. Leveraging the ChatGPT API for nuanced text-based interactions and Google Bard for advanced image analysis and diagram-to-code conversions, we showcase the potential of GenAI in addressing a broad spectrum of educational queries. Additionally, the chatbot presents a file-based analyser designed for educators, offering deep insights into student feedback via sentiment and emotion analysis, and summarising course evaluations with key metrics. These combinations highlight the crucial role of multimodal conversational AI in enhancing teaching and learning processes, promising significant advancements in educational adaptability, engagement, and feedback analysis. By demonstrating a practical web application, this research underlines the imperative for integrating GenAI technologies to foster more dynamic and responsive educational environments, ultimately contributing to improved educational outcomes and pedagogical strategies.
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