商品描述
This book presents the first practice-based account of Generative AI (GenAI) integration in postgraduate courses, structured across three approaches: course redesign and delivery, assessment redesign, and evaluation adaptations. The book introduces GenAI as a knowledge collaborator and reports the practical approaches, such as redesigning group activities into applied, research-driven tasks, providing detailed GenAI usage instructions, and requiring acknowledgement and reporting tools such as AI Contribution Forms, GenAI Integration Rubrics, and AI Contribution Assessment Forms, while adapting evaluation rubrics to ensure that the technology cannot act as a substitute for student work. Through guided experimentation in these areas, students were able to explore GenAI's capabilities and limitations, reflect on appropriate and inappropriate use cases, and strengthen their digital literacy, reflective synthesis, and ethical awareness. A rigorous Monitoring & Evaluation (M&E) framework, built on a Theory of Change, pretested survey instruments, and detailed research protocols, was used to assess impacts on student knowledge, confidence, application, and awareness, both in the short term and the medium term. All instruments and procedures are included, making them directly reusable or adaptable by peers seeking to replicate or scale similar interventions in their courses.
This book is a practical and methodological resource for educators and institutions, offering tested integration strategies, ready-to-use instruments, and a replicable evaluation framework to embed GenAI responsibly and effectively into academic practice while safeguarding academic integrity.
商品描述(中文翻譯)
本書首次基於實踐的方式介紹了生成式人工智慧（Generative AI, GenAI）在研究生課程中的整合，並從三個方面進行結構化：課程重新設計與交付、評估重新設計以及評估調整。本書將GenAI介紹為知識合作夥伴，並報告了實際的做法，例如將小組活動重新設計為應用型、研究驅動的任務，提供詳細的GenAI使用說明，並要求使用如AI貢獻表、GenAI整合評量規範和AI貢獻評估表等工具進行確認和報告，同時調整評估規範以確保該技術無法取代學生的工作。通過在這些領域的引導實驗，學生能夠探索GenAI的能力和限制，反思適當和不適當的使用案例，並增強他們的數位素養、反思綜合能力和倫理意識。
一個基於變革理論的嚴謹監測與評估（Monitoring & Evaluation, M&E）框架，使用預測試的調查工具和詳細的研究協議，來評估對學生知識、自信、應用和意識的影響，無論是在短期還是中期。所有工具和程序均已包含在內，使其能夠被尋求在課程中複製或擴展類似干預的同行直接重用或調整。
本書是教育工作者和機構的實用和方法論資源，提供經過測試的整合策略、現成可用的工具，以及可複製的評估框架，以負責任和有效地將GenAI嵌入學術實踐中，同時保護學術誠信。
作者簡介
Prof. Dr. Dr. Varun Gupta, is a Professor of Digital Innovation and Director of the Multidisciplinary Research Centre for Innovations in SMEs (MrciS) at Gisma University of Applied Sciences, Germany, and a Researcher at Universidad de Alcalá, Spain. He holds three doctorates in Organizational Engineering, Economics and Business Management, and Computer Science and Engineering and also earned an MBA, a Máster en Dirección Internacional de Empresas, a Master of Technology (By Research), and a Bachelor of Technology in Computer Science and Engineering. His past affiliations include University College London, University of Toronto, Leicester University, Lund University, Sapienza Università di Roma, Free University of Bozen-Bolzano, University of South-Eastern Norway, Poznań University of Technology, and Uniwersytet Szczeciński. His research focuses on software engineering, digital innovation, technology adoption in SMEs, entrepreneurship, and international business management. Prof. Dr. Chetna Gupta is a Professor of Computer Science and Engineering with over 20 years of academic and research experience. Her expertise spans Software Engineering, Distributed Systems, Search-Based Software Engineering, and Machine Learning. She has supervised multiple Ph.D. and M.Tech scholars and has published extensively in reputed international journals and conferences. Dr. Gupta also serves as an Associate Editor for leading journals and has edited books with reputed publishers. Her current research interests include intelligent bug triaging, human-centric software processes, and innovation management in software enterprises.
作者簡介(中文翻譯)
Varun Gupta 教授博士是德國吉斯馬應用科技大學數位創新教授及中小企業創新多學科研究中心（MrciS）主任，同時也是西班牙阿爾卡拉大學的研究員。他擁有三個博士學位，分別為組織工程、經濟學與商業管理，以及計算機科學與工程，並且獲得了MBA、國際企業管理碩士（Máster en Dirección Internacional de Empresas）、研究型技術碩士及計算機科學與工程學士學位。他曾任職於倫敦大學學院、多倫多大學、萊斯特大學、隆德大學、羅馬薩賓納大學、博岑-博爾扎諾自由大學、南東挪威大學、波茲南科技大學及什切青大學。他的研究專注於軟體工程、數位創新、中小企業的技術採用、創業及國際商業管理。 Chetna Gupta 教授博士是一位擁有超過20年學術及研究經驗的計算機科學與工程教授。她的專業領域涵蓋軟體工程、分散式系統、基於搜尋的軟體工程及機器學習。她曾指導多位博士及碩士研究生，並在國際知名期刊及會議上發表了大量論文。Gupta 博士同時擔任多本領先期刊的副編輯，並與知名出版社編輯書籍。她目前的研究興趣包括智能錯誤分類、人本軟體流程及軟體企業的創新管理。
