本研究探討了在教學助理即服務（TAaaS）的背景下，應用設計思考原則來提升服務品質。所提出的TAaaS具有MLOps功能，使學生能夠在修讀新型學習演算法課程時，利用自己和他人的學習模組開發和部署他們自己的新型學習演算法、程式碼和AI模型。通過整合強調同理心、實驗和原型設計的設計思考原則，本研究旨在提高使用TAaaS系統的使用者體驗和滿意度。挑戰在於允許學生通過反覆嘗試，獨立於多個管道（如模型管道、部署管道和預測服務）創建自己的「新型學習演算法」。通過設計思考的迭代和以人為本的特性，本研究展示了將設計思考原則納入服務設計過程的潛在利益，最終形成更符合使用需求和期望的一套AI解決方案。

This study explores the application of design thinking principles for service enhancement in the context of a Teaching Assistant as a Service (TAaaS). The TAaaS is equipped with MLOps capabilities, enabling students to develop and deploy their own new learning algorithms, codes, and AI models by utilizing their own and others’ learning modules while enrolled in the New Learning Algorithms course. By integrating design thinking principles, which emphasize empathy, experimentation, and prototyping, this study aims to enhance the user experience and satisfaction in using the TAaaS system. The challenge lies in allowing students to create their own “new learning algorithm” through trial and error, independently from the multiple pipelines, such as model pipeline, deployment pipeline, and prediction service. Through the iterative and user-centric nature of design thinking, this study demonstrates the potential benefits of incorporating design thinking principles into the service design process, ultimately leading to a more successful AI solution tailored to the users’ needs and expectations.

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