| 摘要: | 近年來，學習管理系統(LMS)被廣泛應用，而隨著AI科技的興起，AI聊天機器人如ChatGPT應用於教育領域日益受到重視。然而，ChatGPT大多應用於傳遞知識、回答問題的功能，但學生情意技能的培養，亦為學習成功的關鍵因素。學生於線上學習環境中，經常面臨時間管理、持續學習及處理挫折等挑戰，要解決學生個體所遇到的挑戰，需要仰賴學生長期脈絡的資訊以提供個人化的支持，但現行的LMS平台與ChatGPT等工具，缺乏缺少對學生長期脈絡的追蹤和利用，使個人化支持有限。此外，現有的聊天機器人多服務於單一主體，較少同時顧慮學習過程中的利害關係人如教師、助教、學生，這使得其應用範圍受限。
為解決上述問題，本研究提出一個具學生長期脈絡，學習能力管理之學習管家系統。建立學生長時日誌，具諮商對話技巧與學習管理能力如恆毅力、成長型思維與時間管理等知能，透過檢索增強生成與劇本式提詞的提示工程技術，使學習管家了解情境，根據每位學生的特定情況提供依人、依時的專業化回覆。透過學習管家的互動、對話，培養學生持續學習、面對挫折與時間管理的能力，以提升學習事件的參與和完成率，最終達到提升學習成效的目的。同時，學習管家與各利害關係人協作，採納各方需求並給予學生學習資訊，以協助教師教學。
為了驗證系統的有效性，本研究將系統實際應用於餐旅日語課程中。研究結果顯示，在學習管理系統中，相比於僅具當前脈絡之學習管家，使用具學生長時脈絡與學習能力管理之學習管家，學生於恆毅力、時間管理及學習成效上，皆有顯著提升。這不僅證明AI對話機器人如ChatGPT應用於教育中，需要建立學生的長期脈絡模式，提供個性化的回饋，關注學生情意技能如持續學習、面對挫折和時間管理的培養，亦為學習重要的層面。除此之外，須整合所有教育過程中利害關係人的需求，使其與大型語言模型工具有效協作，使ChatGPT應用於學習管理系統的效益最大化。;In recent years, Learning Management Systems (LMS) have been extensively applied, and with the development of AI technology, the application of AI chatbots like ChatGPT in educational fields has become increasingly prominent. However, ChatGPT is primarily used for knowledge teaching and question answering, yet the cultivation of students′ affective skills is equally crucial for learning success. Students often face challenges such as time management, sustained learning, and handling setbacks in online learning environments. Addressing these individual challenges requires long-term contextual information about students to provide personalized support, but current platforms like LMS and tools like ChatGPT lack tracking and utilization of long-term student contexts, limiting personalized support. Additionally, chatbots in education mostly serve single subjects and seldom consider all stakeholders in the learning process, such as teachers, teaching assistants, and students, thus limiting their application.
To address these issues, this study proposes a learning butler system that incorporates long-term student contexts and learning skills management. By establishing long-term student journals and integrating counseling dialogue skills and learning management skills such as grit, growth mindset, and time management, the learning butler system utilizes Retrieval-Augmented Generation and script-based prompting engineering methods. This enables the learning butler to understand the context and provide personalized, timely, and professional responses based on each student′s specific contexts. Through interaction and dialogue with the learning butler, students′ abilities in continuous learning, facing challenges, and time management are cultivated, aiming to enhance participation and completion rates of learning tasks, ultimately improving learning outcomes. The learning butler also collaborates with all stakeholders, adapting to their needs and providing educational information to assist teachers.
To validate the effectiveness of the system, it was applied in a Hospitality Japanese course. The findings showed that within the LMS, compared to a learning butler with only current context, the use of a learning butler with long-term student contexts and learning skills management significantly enhanced students′ grit, time management, and overall learning outcomes. This not only proves that educational applications of AI chatbots like ChatGPT need to establish long-term student contextual models and provide personalized feedback focusing on cultivating affective skills like continuous learning, resilience, and time management but also highlights the importance of integrating the needs of all stakeholders in the educational process. This collaboration maximizes the benefits of using AI tools like ChatGPT in learning management systems. |
