LEADER 04561nam 22006495 450 001 9910919824903321 005 20251113203252.0 010 $a9783031605710 010 $a3031605713 024 7 $a10.1007/978-3-031-60571-0 035 $a(MiAaPQ)EBC31862573 035 $a(Au-PeEL)EBL31862573 035 $a(CKB)37095494400041 035 $a(DE-He213)978-3-031-60571-0 035 $a(OCoLC)1482815989 035 $a(EXLCZ)9937095494400041 100 $a20241229d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTheory Informing and Arising from Learning Analytics /$fedited by Kathryn Bartimote, Sarah K. Howard, Dragan Ga?evi? 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (219 pages) 311 08$a9783031605703 311 08$a3031605705 327 $aPart I State of the Art Theory and Learning Analytics -- Theory and learning analytics a historical perspective -- Making bigger waves Automating theoretical coding to generate educationally -- In Conversation Gulson Anderson & Prinsloo Examining theoretical approaches and future directions for ethics in learning analytics -- Part II Theory Application in Practice Answering Questions and Increasing the Meaningfulness of Learning Analytics Research -- In Conversation Bannert Molenaar & Winne Multiple perspectives on researching and supporting self regulated learning via analytics -- Learning analytics Framework for Analysing Regulation in Collaborative Learning -- Theory and intermediate level knowledge in Multimodal Learning Analytics -- Collaborative learning theory and analytics -- Emotion theory and learning analytics A theoretical framework for capturing emotion regulation using process data -- Integrating theories of learning and social networks in learning analytics -- What could learning analytics learn from Human Computer Interaction theory -- Part III Innovative Theory Uses and Possibilities in Learning Analytics -- In conversation Baker Järvelä & Shaffer The relationship between computational methods and theory in learning analytics -- Theories all the way across The role of theory in learning analytics and the case for unified methods -- Towards a genealogical critical theory of learning analytics. 330 $aTheory Informing and Arising from Learning Analytics delves into the dynamic intersection of learning theory and educational data analysis within the field of Learning Analytics (LA). This groundbreaking book illuminates how theoretical insights can transform data interpretation, reshape research methodologies, and expand the horizons of human learning and educational theory. Organized into three distinct sections, it offers a comprehensive introduction to the role of theory in LA, features contributions from leading scholars who apply diverse theoretical frameworks to their research, and explores cutting-edge topics where new theories are emerging. A standout feature is the inclusion of three ?in conversation? chapters, where expert panels dive into the topics of ethics, self-regulated learning, and qualitative computation, enriched by accompanying podcasts that provide fresh, thought-provoking perspectives. This book is an invaluable resource for researchers, sparking debates on the evolving role of theory in LA and challenging conventional epistemological views. Published by Springer, it is an essential read for both aspiring and seasoned scholars eager to engage with the forefront of LA research. 606 $aEducation$xData processing 606 $aBig data 606 $aComputers and civilization 606 $aEducation 606 $aComputers and Education 606 $aBig Data 606 $aComputers and Society 606 $aEducation 615 0$aEducation$xData processing. 615 0$aBig data. 615 0$aComputers and civilization. 615 0$aEducation. 615 14$aComputers and Education. 615 24$aBig Data. 615 24$aComputers and Society. 615 24$aEducation. 676 $a371.334 700 $aBartimote$b Kathryn$01781289 701 $aHoward$b Sarah K$01781290 701 $aGas?evic?$b Dragan$01763735 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910919824903321 996 $aTheory Informing and Arising from Learning Analytics$94306050 997 $aUNINA