【活動】AI特色學分學程說明會 AI Featured Credit Program Information Session

教務處主辦於 2 月 10 日以線上方式舉辦「AI 特色學分學程說明會」，旨在說明學校推動 AI 融入教學之整體方向，並鼓勵各語言相關系所結合自身專業特色，規劃具系所定位的學分學程、跨領域學分學程或微學分學程。

說明會中強調，本計畫核心並非以 AI 取代既有教學，而是以「AI 加值語言教育」為理念，透過 AI 作為輔助工具，強化文藻既有的語言專業優勢，提升學生學習成效與未來就業競爭力。同時，也鼓勵各系所盤點既有課程資源，透過整合與深化的方式發展具特色之 AI 相關學程，而非強制開設全新課程，以提升推動彈性與可行性。

在學程規劃方面，教務處說明目前可採行之三種學程類型，包括一般學分學程、跨領域學分學程及微學分學程，並說明其學分數設計與申請流程，協助系所依自身條件與發展目標進行規劃。相關學程須依規定完成系、院、校三級審議程序，跨系或跨院合作之學程亦需經相關課程委員會審議通過。

本次說明會期盼透過制度說明與方向引導，協助各系所發展具 AI 特色之教學亮點，進一步提升學校整體教學創新能量與招生競爭力。亦請各系所持續集思廣益，思考 AI 與專業領域之結合模式，並善用現有課程資源，共同推動具文藻特色之 AI 教學發展。

The AI Featured Credit Program Information Session, organized by the Office of Academic Affairs, was held online on February 10. The session aimed to introduce the university’s overall direction for integrating artificial intelligence into teaching and to encourage language-related departments to develop featured credit programs, interdisciplinary credit programs, or micro-credit programs aligned with their disciplinary strengths.

During the session, it was emphasized that the core objective of this initiative is not to replace existing teaching practices with AI, but to use AI as a supportive tool to enhance the university’s established strengths in language education. Through this “AI-enhanced language education” approach, departments are encouraged to strengthen students’ learning outcomes and future employability while maintaining their professional foundations.

The Office of Academic Affairs also highlighted that departments are encouraged to review and consolidate existing courses when designing AI-related programs, rather than creating entirely new courses. This flexible approach allows departments to further develop distinctive program features based on available resources and curricular structures.

In terms of program design, three types of credit programs were introduced: standard credit programs, interdisciplinary credit programs, and micro-credit programs. The session also explained the corresponding credit requirements and application procedures. All proposed programs are required to undergo the established three-level review process at the department, college, and university levels. For interdisciplinary or cross-college programs, approval from the relevant curriculum committees is also required.

Through this information session, the university aims to support departments in developing AI-featured teaching initiatives, enhancing overall teaching innovation, and strengthening institutional competitiveness. Departments are encouraged to continue exchanging ideas and exploring diverse approaches to integrating AI with their professional fields, making effective use of existing curricular resources to jointly promote the development of AI-enhanced education with distinctive institutional characteristics.