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020 _a9783319647920
024 7 _a10.1007/978-3-319-64792-0
_2doi
040 _cМУБИС
050 4 _aLC8-6691
072 7 _aJNV
_2bicssc
072 7 _aEDU039000
_2bisacsh
072 7 _aJNV
_2thema
082 0 4 _a371.33
_223
245 1 0 _aUtilizing Learning Analytics to Support Study Success
_h[electronic resource] /
_cedited by Dirk Ifenthaler, Dana-Kristin Mah, Jane Yin-Kim Yau.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXXIV, 328 p. 47 illus., 24 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPart I: Theoretical perspectives linking learning analytics and study success -- Part II: Technological innovations for supporting student learning -- Part III: Issues and challenges for implementing learning analytics at higher education institutions -- Part IV: Case studies showcasing successfully implemented learning analytics strategies at higher education institutions -- Index of Subjects and Topics.
520 _aStudents often enter higher education academically unprepared and with unrealistic perceptions and expectations of university life, which are critical factors that influence students’ decisions to leave their institutions prior to degree completion. Advances in educational technology and the current availability of vast amounts of educational data make it possible to represent how students interact with higher education resources, as well as provide insights into students’ learning behavior and processes. This volume offers new research in such learning analytics and demonstrates how they support students at institutions of higher education by offering personalized and adaptive support of their learning journey. It focuses on four major areas of discussion: · Theoretical perspectives linking learning analytics and study success. · Technological innovations for supporting student learning. · Issues and challenges for implementing learning analytics at higher education institutions. · Case studies showcasing successfully implemented learning analytics strategies at higher education institutions. Utilizing Learning Analytics to Support Study Success ably exemplifies how educational data and innovative digital technologies contribute to successful learning and teaching scenarios and provides critical insight to researchers, graduate students, teachers, and administrators in the general areas of education, educational psychology, academic and organizational development, and instructional technology. .
650 0 _aEducational technology.
650 0 _aLearning.
650 0 _aInstruction.
650 1 4 _aEducational Technology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/O21000
650 2 4 _aLearning & Instruction.
_0https://scigraph.springernature.com/ontologies/product-market-codes/O22000
700 1 _aIfenthaler, Dirk.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMah, Dana-Kristin.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aYau, Jane Yin-Kim.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319647913
776 0 8 _iPrinted edition:
_z9783319647937
856 4 0 _uhttps://doi.org/10.1007/978-3-319-64792-0
942 _2ddc
_cEBOOK