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商品描述
This book provides a comprehensive exploration of the integration of artificial intelligence (AI) into academic research, specifically tailored for higher education institutions and postgraduate research (PGR) students. It addresses the unique challenges and opportunities that these institutions and students encounter when incorporating AI into research. The work emphasises practical case studies, step-by-step guides on AI tools and techniques, ethical considerations in AI usage, and features contributions from experts across various disciplines. Following the introduction, the book delves into the specifics of how AI can enhance academic research such as literature review, data analysis and interpretation, and assistance in academic writing across different disciplines. The wide range of topics introduced in this book is supported by practical examples and guidance. This book also explores the landscape of current AI applications in research, the methodologies for effectively leveraging AI technologies, and the critical ethical dimensions of AI work. The importance of interdisciplinary collaboration in expanding the use of AI in research is covered in this book by drawing on expert insights to provide a rich, multifaceted understanding of the potential of AI in academia. The combination of topics in this book can empower PGR students to navigate the complexities of AI in their research. The book is a much-needed compilation prepared by leading scholars in the field of digital technology to help PGRs, as well as decision-makers, determine the best ways to integrate and use AI tools in research.
商品描述(中文翻譯)
本書全面探討人工智慧（AI）在學術研究中的整合，特別針對高等教育機構和研究生（PGR）學生量身打造。它針對這些機構和學生在將AI融入研究時所面臨的獨特挑戰和機遇進行了深入分析。本書強調實用案例研究、AI工具和技術的逐步指南、AI使用中的倫理考量，並包含來自各個學科專家的貢獻。在介紹之後，本書深入探討AI如何增強學術研究的具體方式，例如文獻回顧、數據分析與解釋，以及在不同學科中的學術寫作協助。本書介紹的廣泛主題均以實用範例和指導為支持。此外，本書還探討了當前AI在研究中的應用現狀、有效利用AI技術的方法論，以及AI工作中的關鍵倫理維度。本書通過專家的見解，強調跨學科合作在擴大AI在研究中應用的重要性，提供對AI在學術界潛力的豐富、多面向的理解。本書的主題組合能夠幫助PGR學生駕馭AI在其研究中的複雜性。本書是由數位科技領域的領先學者編寫的急需彙編，旨在幫助PGR以及決策者確定在研究中整合和使用AI工具的最佳方法。
作者簡介
Professor Xue Zhou is a Professor in AI in Business Education at the University of Leicester and a Principal Fellow of the Higher Education Academy (PFHEA). Her research explores digital literacy, the integration of AI in education, digital technology adoption, and cross-cultural adjustment. She is particularly focused on embedding AI meaningfully and ethically into business education to enhance student learning, drive inclusive innovation, and promote future-ready skills. Professor Zhou has been recognised with numerous awards, including the British Academy of Management Education Practice Award (Highly Commended) and the President and Principal's Education Excellence Award for her pioneering AI Literacy Training initiative. She has led transformative work on AI-enhanced assessment, equipping students to critically evaluate, interpret, and co-create with AI tools in data-driven environments. She has delivered keynotes at national and international conferences on AI in education, digital transformation, and pedagogical innovation, and was shortlisted in the AI in Education category at the QS Reimagine Education Awards. Professor Zhou also serves as an Associate Editor and as a judge for prestigious educational awards, contributing to the global dialogue on responsible and impactful AI adoption in higher education.
Dr Hosam Al-Samarraie is an Associate Professor in Digital Innovation Design at the University of Leeds, UK. His research lies at the intersection of human-computer interaction, higher education, and machine learning. His work on digital innovations involves the development of new ideas and concepts aimed at maximising the performance of online learning systems that are tailored to specific student needs, behaviours, cultures, and intentions, rather than being based on assumed or generalised models. He has led several projects on the design and development of adaptive interfaces across various settings. These include the utilisation of EEG and eye-movement data to inform the design of enhanced learning experiences. He has also contributed to the development of numerous online learning scenarios, including virtual learning environments that support learners' understanding of complex concepts. His work has received media attention for its methodological contributions and advancement of knowledge in the field. With over 100 peer-reviewed journal publications, his research output has gained international recognition, culminating in his inclusion in Stanford University's prestigious list of the "World's Top 2%" scientists in his field. In 2020, he was awarded the Silver Medal by the Market Research Society in London for his research on understanding social behaviour on microblogs. He currently serves on the editorial board of the HCI section of PLOS One and has acted as a guest editor for other key academic journals
作者簡介(中文翻譯)
薛周教授是萊斯特大學商業教育中的人工智慧教授，並且是高等教育學院的首席研究員（PFHEA）。她的研究探索數位素養、人工智慧在教育中的整合、數位技術的採用以及跨文化調整。她特別專注於將人工智慧有意義且倫理地嵌入商業教育中，以增強學生學習、推動包容性創新並促進未來所需的技能。薛教授因其開創性的人工智慧素養培訓計畫而獲得多項獎項，包括英國管理學院教育實踐獎（高度推薦）和校長及院長教育卓越獎。她在人工智慧增強評估方面進行了變革性工作，使學生能夠在數據驅動的環境中批判性地評估、解釋和與人工智慧工具共同創作。她在全國和國際會議上就教育中的人工智慧、數位轉型和教學創新發表了主題演講，並在QS重新想像教育獎的教育類別中入圍。薛教授還擔任著名教育獎項的副編輯和評審，為高等教育中負責任和有影響力的人工智慧採用的全球對話做出貢獻。
霍薩姆·阿爾-薩馬拉伊博士是英國利茲大學數位創新設計的副教授。他的研究位於人機互動、高等教育和機器學習的交叉點上。他在數位創新方面的工作涉及開發新想法和概念，旨在最大化針對特定學生需求、行為、文化和意圖量身定制的在線學習系統的性能，而不是基於假設或一般化模型。他主導了多個項目，設計和開發適應性介面，涵蓋各種環境，包括利用腦電圖（EEG）和眼動數據來指導增強學習體驗的設計。他還為多個在線學習場景的開發做出了貢獻，包括支持學習者理解複雜概念的虛擬學習環境。他的工作因其方法論貢獻和在該領域知識的推進而受到媒體關注。擁有超過100篇同行評審的期刊出版物，他的研究成果在國際上獲得了認可，最終入選斯坦福大學的「世界前2%」科學家名單。2020年，他因研究社交行為在微博上的理解而獲得倫敦市場研究協會的銀獎。他目前擔任PLOS One人機互動（HCI）部分的編輯委員會成員，並曾擔任其他重要學術期刊的客座編輯。
