活動花絮
2月25日下午，政治大學英語教學資源中心接待德國新烏爾姆應用技術大學（後簡稱HNU）的校長Uta M. Feser教授以及數位轉型研究所所長兼資訊管理學院教務長Klaus Lang教授，並舉辦「高等教育中的產學合作：如何成功架構產業與教學之間的橋梁」講座活動，本活動由國立政治大學國際合作事務處協辦，邀請Klaus Lang教授分享其於校園推動產學合作與AI教育轉型的經驗與體悟。本場講座由英語教學資源中心主任鍾曉芳教授主持並進行開場致詞，鍾曉芳主任首先向與會者介紹兩位蒞校嘉賓，其中特別提及Klaus Lang教授於AI運用以及數位轉型上的豐富經歷，並鼓勵各位與會者於本場講座中積極與講者進行互動和交流。
本次演講由Klaus Lang教授詢問與會者使用AI工具ChatGPT頻率的提問拉開序幕，揭示AI工具於生活上以及學術上日益增加的重要性，進而帶入本次演講主軸，德國新烏爾姆應用技術大學的產學合作以及AI運用的實務經驗。Klaus Lang教授首先提出AI為現今教學模式所帶來的轉變，認為AI能夠有效改善傳統教學模式過於繁複的缺點，透過找出學生學習上的弱點制定符合個人需求的教學方案，避免過量且複雜的知識供給造成的負擔。接著，Klaus Lang教授介紹HNU目前正在實施的各項產學合作專案，施行產學合作專案的目的在於提供學生於業界實際學習的機會，在提升學生就業競爭力的同時善盡學術單位的社會責任，透過學術理論提供正在面臨數位轉型的企業運用AI科技工具的有效策略與實際應用方法。學生將於進行專案時學習到如何針對企業所面臨的困難，透過下指令的方式為其客製化能有效解決問題的AI模型。HNU也藉由提供空間與設備鼓勵學生投入創業，勇於實現自身商業構想，並透過與他校合開的暑期課程，以演講、實地參訪等方式建立學生與企業之間的連結、創造兩者間直接對話的機會，使學生能夠學習成功企業家的思維，並勇於開創自身理想。
接著，講者Klaus Lang教授針對與會者的提問進行回覆。Klaus Lang教授表示在產學合作的過程中，大學端與企業秉持著互利的理念，能互相為彼此提供所需要的知識與資源，促成雙方的進步。而HNU的校長Uta M. Feser教授也補充，在德國有許多的中小企業仍在適應AI科技帶來的轉變，而這樣的企業將會是學術單位首要的合作夥伴。現場與會者也分享AI發展帶給自身學習模式上的改變，並詢問講者關於其對AI浪潮下學習與教學模式的調整與因應的看法，對此，講者提出AI目前仍有學術資源取得上的限制，故傳統以大量文獻閱讀為基礎的學習模式仍有其重要性，然學術機構不應完全杜絕AI的應用，惟須保證使用過程公開透明。而講者也提及AI將如何改變未來的考試方式，測試學生使用AI工具解決問題的能力將替代講求盡可能掌握最多知識的傳統模式成為主流。活動的最後講者對因AI而產生的學術倫理問題進行回覆，指出學術機構必須對此訂定規章以因應AI持續且蓬勃的發展。
本次國際交流活動藉由德國新烏爾姆應用技術大學豐富的經驗為本校提供產學合作與AI應用上的嶄新思路，感謝Uta M. Feser教授以及Klaus Lang教授的蒞臨以及精采分享，為我們帶來開闊的國際視野。
On the afternoon of February 25, the EMI Resource Center at National Chengchi University (NCCU) hosted Professor Uta M. Feser, President of Neu-Ulm University of Applied Sciences (HNU), and Professor Klaus Lang, Managing Director of the Institute for Digital Transformation and Dean of Studies of the Department of Information Management at HNU. They were invited to give a lecture titled "Building Bridges: Successful Industry Collaborations and Joint Teaching Projects in Higher Education" where Professor Klaus Lang shared his experiences and insights on promoting university-industry collaboration and AI education transformation. The event was co-organized by the NCCU Office of International Cooperation and hosted by Professor Siaw-Fong Chung, Director of the EMI Resource Center. In the opening remarks, Professor Chung introduced the distinguished guests, highlighting Professor Klaus Lang’s extensive experience in AI applications and digital transformation. She also encouraged the audience to engage and interact actively with the speakers during the event.
The lecture began with Professor Klaus Lang asking the audience about their frequency of using the AI tool ChatGPT, which highlighted the growing importance of AI tools in daily life and academia. This question set the stage for the main topics of the lecture, which focused on HNU's practical experiences in university-industry collaboration and AI applications. Professor Lang first discussed the impact of AI on modern teaching methods, which emphasized its potential to improve traditional teaching models that are often overly complex. He explained that AI could tailor educational programs to individual student needs by identifying learning weaknesses, thereby avoiding the burden of excessive and complicated knowledge delivery.
Professor Lang then introduced various ongoing university-industry collaboration programs at HNU. The purpose of these programs are to provide students with practical learning opportunities in the industry, enhancing their employability while fulfilling the university's social responsibility. Through academic theories, HNU supports companies undergoing digital transformation by offering effective strategies and practical applications of AI technology. During these programs, students learn to address challenges faced by companies by developing “custom AI” models through prompting. Additionally, HNU encourages student entrepreneurship by providing spaces and facilities to help them develop their business ideas. The university also collaborates with other institutions to offer summer programs that include lectures and site visits, fostering direct dialogue and connections between students and companies. These interactions allow students to learn from successful businessmen and inspire them to pursue their own entrepreneurial ambitions.
During the Q&A session, Professor Lang explained that university-industry collaboration is based on mutual benefit, where universities and companies exchange knowledge and resources for mutual progress. Professor Uta M. Feser added that many small and medium-sized companies in Germany are still adapting to changes brought about by AI technologies, making them ideal partners for academic institutions.
Audience also shared how AI development has influenced their learning methods and asked Professor Lang about his views on adjusting teaching and learning models in response to the AI wave. He noted that AI is still facing limitations in accessing academic resources, therefore, traditional learning methods based on extensive literature review still hold value. However, educational institutions should not entirely forbid the use of AI, provided that its usage remains transparent and open. Professor Lang also mentioned how AI is likely to change future examination methods, shifting from traditional knowledge-based testing to evaluating students' abilities to solve problems through AI tools. Toward the end of the event, he addressed concerns about academic ethics related to AI, emphasizing the need for educational institutions to establish regulations to cope with the rapid and continuous development of AI.
This international exchange event provided NCCU with innovative perspectives on university-industry collaboration and AI applications, drawing from the extensive experience of Neu-Ulm University of Applied Sciences. Sincere thanks to Professor Uta M. Feser and Professor Klaus Lang for their visit and insightful sharing, which broadened our international outlook.
The EMI Resource Center：https://www.eminccu.com/
