LEADER 02781nam 22006255 450 001 9910299060403321 005 20251226193502.0 010 $a3-662-43610-8 024 7 $a10.1007/978-3-662-43610-3 035 $a(CKB)3710000000106801 035 $a(DE-He213)978-3-662-43610-3 035 $a(SSID)ssj0001199757 035 $a(PQKBManifestationID)11642990 035 $a(PQKBTitleCode)TC0001199757 035 $a(PQKBWorkID)11223151 035 $a(PQKB)10383101 035 $a(MiAaPQ)EBC3096838 035 $a(PPN)178321664 035 $a(EXLCZ)993710000000106801 100 $a20140423d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRequirements Engineering $eFirst Asia Pacific Requirements Engineering Symposium, APRES 2014, Auckland, New Zealand, April 28-29, 2014, Proceedings /$fedited by Didar Zowghi, Zhi Jin 205 $a1st ed. 2014. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014. 215 $a1 online resource (X, 225 p. 85 illus.) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v432 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-662-43609-4 320 $aIncludes bibliographical references and index. 327 $aNovel ideas -- Methods -- Tools.- Techniques.- Improving and enhancing Requirement Engineering products and processes. 330 $aThis book constitutes the proceedings of the first Asia Pacific Requirements Engineering Symposium, APRES 2014, held in Auckland, New Zealand, in April 2014. The 16 papers presented were carefully reviewed and selected from 30 submissions. The focus of the papers is on the following topics: novel ideas, methods, tools, and techniques for improving and enhancing Requirement Engineering products and processes. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v432 606 $aSoftware engineering 606 $aElectronic digital computers$xEvaluation 606 $aAlgorithms 606 $aSoftware Engineering 606 $aSystem Performance and Evaluation 606 $aAlgorithms 615 0$aSoftware engineering. 615 0$aElectronic digital computers$xEvaluation. 615 0$aAlgorithms. 615 14$aSoftware Engineering. 615 24$aSystem Performance and Evaluation. 615 24$aAlgorithms. 676 $a005.1 702 $aZowghi$b Didar$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJin$b Zhi$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910299060403321 996 $aRequirements Engineering$92143744 997 $aUNINA LEADER 04552nam 22005655 450 001 9911049085703321 005 20260325155130.0 010 $a9783032024404 010 $a3-032-02440-4 024 7 $a10.1007/978-3-032-02440-4 035 $a(CKB)44769889200041 035 $a(MiAaPQ)EBC32471195 035 $a(Au-PeEL)EBL32471195 035 $a(DE-He213)978-3-032-02440-4 035 $a(OCoLC)1568115590 035 $a(EXLCZ)9944769889200041 100 $a20260102d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGenerative AI in Research $eApplications in Research Design, Data Analysis and Feedback /$fby Oluwaseun Kolade, Abiodun Egbetokun, Adebowale Owoseni 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Palgrave Macmillan,$d2025. 215 $a1 online resource (236 pages) 225 0 $aEducation Series 311 08$a3-032-02439-0 320 $aIncludes bibliographical references and index. 327 $aChapter 1: Gen AI for Research revolution or risk -- Chapter 2: Generative AI Applications in Research Design -- Chapter 3: Gen AI enabled data generation and simulation in Social Sciences -- Chapter 4: Generative AI Use Cases for Data Processing and Analysis -- Chapter 5: Towards Methodological Innovation CoCreating Research Design with Generative AI -- Chapter 6: Reviewing manuscripts for originality significance and rigour -- Chapter 7: Gen AI for public engagement and knowledge exchange -- Chapter 8: The future of AI for knowledge production. 330 $aThe growing popularity of Generative AI has stirred new debates about the future of knowledge production. With a prompt and a click, regular users can now generate contents on just about any topic of interest, drawing from hundreds of billions of parameters with which the latest versions of Gen AI models are trained. As Generative AI rapidly evolves with more advanced features and capabilities, stakeholders have expressed worries that AI models will displace humans as central agents in the research process. This book examines the case for and against applications of Gen AI in research, highlighting the prospects and pitfalls. Using exemplar prompts and custom GPTs created by the authors, it explores prospective use cases for automated data processing, complex modelling and simulations; applications in experimental designs; and review of draft manuscripts. The book also engages with key issues around algorithmic bias, inaccuracies, fake information, epistemic injustice, and the ethics of AI applications in research. In some ways a companion piece to the authors' previous title, 'Generative AI in Higher Education: Innovation Strategies for Teaching and Learning', this book has a particularly practical appeal for researchers, as well as university officials and policymakers getting to grips with the explosion of AI-assisted research. It will also be of value to scholars of AI and innovation strategy in higher education. Oluwaseun Kolade is a Full Professor of Entrepreneurship and Digital Transformation at Sheffield Business School, Sheffield Hallam University, UK. He has authored more than 100 academic outputs spanning digital transformation, AI, circular economy and SMEs strategies. Abiodun Egbetokun is Senior Lecturer in Business Management at De Montfort University, Leicester, UK, and a Senior Fellow of the Higher Education Academy (SFHEA). His current research examines the implications of LLMs in research, industry and higher education. Adebowale Owoseni is a Senior Lecturer in Information Systems at De Montfort University, Leicester, UK, and a Senior Fellow of the Higher Education Academy (SFHEA). He transitioned to academia in 2019 after a 13-year career in fintech. 606 $aTechnological innovations 606 $aEducation$xResearch 606 $aInnovation and Technology Management 606 $aResearch Methods in Education 615 0$aTechnological innovations. 615 0$aEducation$xResearch. 615 14$aInnovation and Technology Management. 615 24$aResearch Methods in Education. 676 $a378.1734631 700 $aKolade$b Oluwaseun$01359807 702 $aEgbetokun$b Abiodun 702 $aOwoseni$b Adebowale 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911049085703321 996 $aGenerative AI in Research$94522031 997 $aUNINA