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arXiv 2502.07401cs.HCcs.AI

利用生成式人工智能提升高等教育:一种用于个性化学习的多模态方法

Enhancing Higher Education with Generative AI: A Multimodal Approach for Personalised Learning

The University of Auckland(奥克兰大学)

Johnny Chan, Yuming Li

AI总结:

本研究通过开发融合ChatGPT与Google Bard的多模态聊天机器人,实现个性化学习与反馈分析,以提升高等教育教学效果。

摘要:

本研究通过为本科课程设计和开发一个多模态聊天机器人,探索了生成式人工智能(GenAI)在高等教育领域的机遇。利用ChatGPT API进行细致的基于文本的交互,以及Google Bard进行高级图像分析和图表到代码的转换,我们展示了GenAI在解决广泛教育问题方面的潜力。此外,该聊天机器人还提供了一个面向教育工作者的基于文件的分析器,通过情感和情绪分析深入洞察学生反馈,并用关键指标总结课程评估。这些组合突显了多模态对话式人工智能在增强教学过程中的关键作用,有望在教育适应性、参与度和反馈分析方面取得显著进展。通过展示一个实用的网络应用程序,本研究强调了整合GenAI技术以营造更具活力和响应性的教育环境的必要性,最终有助于改善教育成果和教学策略。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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