Artificial Intelligence and Academic Integrity: Navigating Ethical Challenges of AI in Education
暫譯: 人工智慧與學術誠信：應對教育中人工智慧的倫理挑戰
Daniel, Ben Kei, Sheridan, Lynnaire, Wierdak, Nathalie
商品描述
商品描述(中文翻譯)
本書匯集了研究者和教育工作者，探討在人工智慧（AI）時代教學與學習的未來。全書分為七個部分，包括哲學反思、歷史分析、實證研究和基於案例的實用見解。它還通過概念驗證項目突顯了AI技術的設計與實驗。這些貢獻共同提供了理論深度、策略指導和基於證據的方法，以在快速變化的教育環境中駕馭AI的好處與風險，同時維護學術誠信。本書的目標讀者包括研究者、教育工作者、教學設計師、政策制定者以及高等教育領導者，他們正在應對AI所帶來的倫理、教學法和制度挑戰。對於教育、科技和倫理領域的研究生或碩士生以及學者，以及支持機構應對教學與學習中新興技術的人士，本書也具有重要價值。
作者簡介
Ben Kei Daniel, is Professor of Computer Science and Director of the Centre for Teaching, Learning and Technology at the University of Northern British Columbia, Canada. He holds a joint PhD in Educational Technology and Artificial Intelligence in Education (AIED). His research focuses on AI-driven advanced learning technologies and Research Methodologies. Ben is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), and a member of the New Zealand Council for Educational Research (NZCER), the Council of Australasian University Leaders in Learning and Teaching (CAULLT), the Association for Computing Machinery (ACM), and the International Artificial Intelligence in Education Society (IAIED).
Nathalie Wierdak, University of Otago, Dunedin, New Zealand
Nathalie's work centres on advancing equity, wellbeing, and inclusive education through collaborative, values-driven initiatives. Drawing on a background in anthropology, learning development, and community engagement, she explores how strategic communication and inclusive pedagogical design can support historically underserved learners. Her current projects focus on the ethical use of generative AI in tertiary education, strengthening transitions into university, and enhancing staff capabilities in learner-centred teaching. Nathalie's applied research also spans stakeholder engagement, intercultural communication, and
science outreach, with an emphasis on socially responsive, sustainable practices in Aotearoa and the wider Pacific.
Lynnaire Sheridan, University of Otago, Dunedin, New Zealand
Lynnaire's research focus is on identifying key insights and potential learnings emerging from complex scenarios to facilitate problem solving and promote positive socio-cultural ecological and economic outcomes. She applies this lens within higher education through her teaching and learning research, with a focus on work-integrated learning, academic integrity, equity, and the use of artificial intelligence. Within her discipline, she explores organisational issues across diverse contexts, including workplace health and safety, tourism, healthcare, and global migration.
作者簡介(中文翻譯)
本·凱·丹尼爾是加拿大北不列顛哥倫比亞大學計算機科學教授及教學、學習與技術中心主任。他擁有教育技術與教育中的人工智慧（AIED）聯合博士學位。他的研究專注於人工智慧驅動的先進學習技術和研究方法論。本是電氣與電子工程師學會（IEEE）的高級會員，並且是紐西蘭教育研究委員會（NZCER）、澳大利亞大學學習與教學領導者委員會（CAULLT）、計算機協會（ACM）以及國際教育中的人工智慧學會（IAIED）的成員。
娜塔莉·維爾達克，紐西蘭奧塔哥大學，達尼丁
娜塔莉的工作重點在於通過協作、以價值為驅動的倡議來促進公平、福祉和包容性教育。她借助人類學、學習發展和社區參與的背景，探索戰略性溝通和包容性教學設計如何支持歷史上被忽視的學習者。她目前的項目專注於在高等教育中倫理使用生成性人工智慧、加強大學過渡以及提升教職員在以學習者為中心的教學中的能力。娜塔莉的應用研究還涵蓋了利益相關者參與、跨文化溝通和科學推廣，強調在奧特亞羅亞及更廣泛的太平洋地區的社會響應和可持續實踐。
林奈爾·謝里丹，紐西蘭奧塔哥大學，達尼丁
林奈爾的研究重點在於識別從複雜情境中出現的關鍵見解和潛在學習，以促進問題解決並推動積極的社會文化、生態和經濟結果。她通過教學和學習研究在高等教育中應用這一視角，專注於工作整合學習、學術誠信、公平以及人工智慧的使用。在她的學科中，她探索了多樣背景下的組織問題，包括工作場所健康與安全、旅遊、醫療保健和全球移民。
