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020 _a9783319529776
_9978-3-319-52977-6
024 7 _a10.1007/978-3-319-52977-6
_2doi
050 4 _aQ342
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_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aLearning Analytics: Fundaments, Applications, and Trends
_h[electronic resource] :
_bA View of the Current State of the Art to Enhance e-Learning /
_cedited by Alejandro Peña-Ayala.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXII, 303 p. 81 illus., 57 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v94
505 0 _aLearning Analytics in Higher Education -- A Literature Review -- Teaching and Learning Analytics to support Teacher Inquiry: A Systematic Literature Review -- A Landscape of Learning Analytics: An Exercise to Highlight the Nature of an Emergent Field -- A Review of Recent Advances in Adaptive Assessment -- Data-driven Personalization of Student Learning Support in Higher Education -- Overcoming the MOOC data deluge with learning analytic dashboards -- A Priori Knowledge in Learning Analytics -- Knowledge Discovery from the Programme for International Student Assessment -- A Learning Analytics Approach for Job Scheduling on Cloud Servers.
520 _aThis book provides a conceptual and empirical perspective on learning analytics, its goal being to disseminate the core concepts, research, and outcomes of this emergent field. Divided into nine chapters, it offers reviews oriented on selected topics, recent advances, and innovative applications. It presents the broad learning analytics landscape and in-depth studies on higher education, adaptive assessment, teaching and learning. In addition, it discusses valuable approaches to coping with personalization and huge data, as well as conceptual topics and specialized applications that have shaped the current state of the art. By identifying fundamentals, highlighting applications, and pointing out current trends, the book offers an essential overview of learning analytics to enhance learning achievement in diverse educational settings. As such, it represents a valuable resource for researchers, practitioners, and students interested in updating their knowledge and finding inspirations for their future work.
650 0 _aComputational intelligence.
_97716
650 0 _aEducational technology.
_924353
650 0 _aLearning, Psychology of.
_922083
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aDigital Education and Educational Technology.
_933307
650 2 4 _aInstructional Psychology.
_945477
700 1 _aPeña-Ayala, Alejandro.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_945478
710 2 _aSpringerLink (Online service)
_945479
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319529769
776 0 8 _iPrinted edition:
_z9783319529783
776 0 8 _iPrinted edition:
_z9783319850290
830 0 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v94
_945480
856 4 0 _uhttps://doi.org/10.1007/978-3-319-52977-6
912 _aZDB-2-ENG
912 _aZDB-2-SXE
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