LEADER 04141nam 2200697 450 001 9910451918603321 005 20200520144314.0 010 $a0-262-29262-9 010 $a9786612096778 010 $a0-262-25702-5 010 $a1-282-09677-X 010 $a1-4237-7450-7 035 $a(CKB)1000000000461579 035 $a(SSID)ssj0000165901 035 $a(PQKBManifestationID)11153121 035 $a(PQKBTitleCode)TC0000165901 035 $a(PQKBWorkID)10145193 035 $a(PQKB)10422823 035 $a(MiAaPQ)EBC3338617 035 $a(CaBNVSL)mat06267340 035 $a(IDAMS)0b000064818b431a 035 $a(IEEE)6267340 035 $a(OCoLC)69661080$z(OCoLC)182530239$z(OCoLC)473738088$z(OCoLC)614956309$z(OCoLC)622267485$z(OCoLC)648225764$z(OCoLC)680383021$z(OCoLC)722565690$z(OCoLC)728037278$z(OCoLC)888487331$z(OCoLC)961665338$z(OCoLC)962578740$z(OCoLC)988525911$z(OCoLC)991956924$z(OCoLC)1037525181$z(OCoLC)1037926170$z(OCoLC)1038694292$z(OCoLC)1055336905$z(OCoLC)1058373146$z(OCoLC)1081217208$z(OCoLC)1083596572$z(OCoLC)1097136411 035 $a(OCoLC-P)69661080 035 $a(MaCbMITP)3372 035 $a(Au-PeEL)EBL3338617 035 $a(CaPaEBR)ebr10173677 035 $a(OCoLC)69661080 035 $a(EXLCZ)991000000000461579 100 $a20151223d2006 uy 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aGroup cognition $ecomputer support for building collaborative knowledge /$fGerry Stahl 210 1$aCambridge, Massachusetts :$cMIT Press,$dc2006. 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2006] 215 $aviii, 510 p. $cill 225 1 $aActing with technology 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-262-19539-9 320 $aIncludes bibliographical references (p. [479]-498) and indexes. 330 $aInnovative uses of global and local networks of linked computers make new ways of collaborative working, learning, and acting possible. In Group Cognition Gerry Stahl explores the technological and social reconfigurations that are needed to achieve computer-supported collaborative knowledge building--group cognition that transcends the limits of individual cognition. Computers can provide active media for social group cognition where ideas grow through the interactions within groups of people; software functionality can manage group discourse that results in shared understandings, new meanings, and collaborative learning. Stahl offers software design prototypes, analyzes empirical instances of collaboration, and elaborates a theory of collaboration that takes the group, rather than the individual, as the unit of analysis.Stahl's design studies concentrate on mechanisms to support group formation, multiple interpretive perspectives, and the negotiation of group knowledge in applications as varied as collaborative curriculum development by teachers, writing summaries by students, and designing space voyages by NASA engineers. His empirical analysis shows how, in small-group collaborations, the group constructs intersubjective knowledge that emerges from and appears in the discourse itself. This discovery of group meaning becomes the springboard for Stahl's outline of a social theory of collaborative knowing. Stahl also discusses such related issues as the distinction between meaning making at the group level and interpretation at the individual level, appropriate research methodology, philosophical directions for group cognition theory, and suggestions for further empirical work. 410 0$aActing with technology 606 $aComputer networks 606 $aComputer-assisted instruction 608 $aElectronic books. 615 0$aComputer networks. 615 0$aComputer-assisted instruction. 676 $a371.33/4 686 $a54.61$2bcl 686 $a81.68$2bcl 700 $aStahl$b Gerry$0849821 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9910451918603321 996 $aGroup cognition$92027117 997 $aUNINA LEADER 04076nam 22005655 450 001 9910637766703321 005 20240606002752.0 010 $a1-4744-8198-1 024 7 $a10.1515/9781474481984 035 $a(CKB)5670000000367306 035 $a(DE-B1597)624935 035 $a(DE-B1597)9781474481984 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/95421 035 $a(OCoLC)1336053822 035 $a(ScCtBLL)4088eba5-245e-47a3-bce4-e15c465cfb9e 035 $a(EXLCZ)995670000000367306 100 $a20220729h20222022 fg 101 0 $aeng 135 $aur||#|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Modernist Anthropocene $eNonhuman Life and Planetary Change in James Joyce, Virginia Woolf and Djuna Barnes /$fPeter Adkins 210 1$aEdinburgh :$cEdinburgh University Press,$d[2022] 210 4$dİ2022 215 $a1 online resource (252 p.) 225 0 $aEdinburgh Critical Studies in Modernist Culture : ECCSMC 311 $a1-4744-8196-5 327 $tFrontmatter --$tCONTENTS --$tFIGURES --$tACKNOWLEDGEMENTS --$tABBREVIATIONS --$tIntroduction: Modernism and the Anthropocene --$t1 The Matter of Politics in the Novels of James Joyce --$t2 James Joyce and the Revenge of Gaia --$t3 The Beastly Writing of Djuna Barnes --$t4 Sex, Nature and Animal Life in Djuna Barnes?s Ryder --$t5 The Sympathetic Climate of Virginia Woolf?s Orlando --$t6 The Disturbing Future of Virginia Woolf?s Lat e Writing --$tFallout: Modernism in the Nuclear Anthropocene --$tBibliography --$tIndex 330 $aProvides the first book-length analysis of modernism and the AnthropoceneProvides new and comparative readings of James Joyce, Djuna Barnes and Virginia Woolf, demonstrating how ecocriticism and posthumanism can open up new ways of understanding modernismIncludes new discoveries from Djuna Barnes?s archive that expand how we perceive her writingContributes to the turn in modernist studies towards the synthesis of historicism and theory, examining modernist fiction in the context of early-twentieth century scientific, environmental, and socio-political developments, while also bringing modernism into dialogue with contemporary theoryThe Modernist Anthropocene examines how modernist writers forged new and innovative ways of responding to rapidly changing planetary conditions and emergent ideas about nonhuman life, environmental change and the human species. Drawing on ecocritical analysis, posthumanist theory, archival research and environmental history, this book resituates key works of modernist fiction within the ecological moment of the early twentieth century, a period in which new configurations of the relationship between human life and the natural world were migrating between the sciences, philosophy and literary culture. The author makes the case that the early twentieth century is pivotal in our understanding of the Anthropocene both as a planetary epoch and a critical concept. In doing so, he positions James Joyce, Djuna Barnes and Virginia Woolf as theorists of the modernist Anthropocene, showing how their oeuvres are shaped by, and actively respond to, changing ideas about the nonhuman that continue to reverberate today. 606 $aClimatic changes in literature 606 $aModernism (Literature)$xHistory 606 $aNature in literature 606 $aLITERARY CRITICISM / American / General$2bisacsh 610 $aLiterary Criticism 610 $aAmerican 615 0$aClimatic changes in literature. 615 0$aModernism (Literature)$xHistory. 615 0$aNature in literature. 615 7$aLITERARY CRITICISM / American / General. 676 $a823/.91209112 676 $a809.9112 686 $aHM 1101$qDE-25/sred22$2rvk 700 $aAdkins$b Peter$4aut$4http://id.loc.gov/vocabulary/relators/aut$01273215 801 0$bDE-B1597 801 1$bDE-B1597 906 $aBOOK 912 $a9910637766703321 996 $aThe Modernist Anthropocene$92999981 997 $aUNINA LEADER 04552nam 22007455 450 001 9910742495703321 005 20251009071956.0 010 $a981-9945-62-3 010 $a9789819945627$belectronic book 010 $a9819945623$belectronic book 024 7 $a10.1007/978-981-99-4562-7 035 $a(MiAaPQ)EBC30721382 035 $a(Au-PeEL)EBL30721382 035 $a(DE-He213)978-981-99-4562-7 035 $a(CKB)28062345300041 035 $a(EXLCZ)9928062345300041 100 $a20230825d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDiscrete Choice Experiments Using R $eA How-To Guide for Social and Managerial Sciences /$fby Liang Shang, Yanto Chandra 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (xvi, 203 pages) $cillustrations (some color) 311 08$aPrint version: Shang, Liang Discrete Choice Experiments Using R Singapore : Springer,c2023 9789819945610 (OCoLC)1382625432 320 $aIncludes bibliographical references. 327 $aChapter 1. An Overview of Stated Preference Methods: What and Why -- Chapter 2. A Comparison of Stated Preference Methods -- Chapter 3. Understanding the Fundamentals of DCE Experiment -- Chapter 4. A Review of R and its Applicability DCE -- Chapter 5. Framing the Research Question and Theory -- Chapter 6. Identifying DCE Attributes and Levels -- Chapter 7. Designing DCE Choice Set using R -- Chapter 8. Designing DCE Survey and Collecting Data -- Chapter 9. Analysing DCE Data using R -- Chapter 10. Visualizing and Reporting DCE Data Using R. 330 $aThis book delivers a user guide reference for researchers seeking to build their capabilities in conducting discrete choice experiment (DCE). The book is born out of the observation of the growing popularity ? but lack of understanding ? of the techniques to investigate preferences. It acknowledges that these broader decision-making processes are often difficult, or sometimes, impossible to study using conventional methods. While DCE is more mature in certain fields, it is relatively new in disciplines within social and managerial sciences. This text addresses these gaps as the first ?how-to? handbook that discusses the design and application of DCE methodology using R for social and managerial science research. Whereas existing books on DCE are either research monographs or largely focused on technical aspects, this book offers a step-by-step application of DCE in R, underpinned by a theoretical discussion on the strengths and weaknesses of the DCE approach, with supporting examples of best practices. Relevant to a broad spectrum of emerging and established researchers who are interested in experimental research techniques, particularly those that pertain to the measurements of preferences and decision-making, it is also useful to policymakers, government officials, and NGOs working in social scientific spaces. 606 $aSociology$xMethodology 606 $aSocial sciences$xStatistical methods 606 $aExperimental design 606 $aSampling (Statistics) 606 $aPsychology 606 $aPsychology$xMethodology 606 $aSociological Methods 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 606 $aDesign of Experiments 606 $aMethodology of Data Collection and Processing 606 $aBehavioral Sciences and Psychology 606 $aQuantitative Psychology 615 0$aSociology$xMethodology. 615 0$aSocial sciences$xStatistical methods. 615 0$aExperimental design. 615 0$aSampling (Statistics) 615 0$aPsychology. 615 0$aPsychology$xMethodology. 615 14$aSociological Methods. 615 24$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 615 24$aDesign of Experiments. 615 24$aMethodology of Data Collection and Processing. 615 24$aBehavioral Sciences and Psychology. 615 24$aQuantitative Psychology. 676 $a301.01 676 $a153.8/3 700 $aShang$b Liang$01425299 702 $aChandra$b Yanto 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910742495703321 996 $aDiscrete choice experiments using R$93661763 997 $aUNINA