000 05576cam a22004578i 4500
001 BRILL9789004399273
003 nllekb
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007 cr un uuuua
008 190206s2019 ne b 000 0 eng
010 _a 2019005549
020 _a9789004399273
_q(electronic book)
020 _z9789004396616
_q(print)
024 7 _a10.1163/9789004399273
_2DOI
040 _aNL-LeKB
_cNL-LeKB
_erda
050 4 _aLB1028.43
_b.E448 2019
072 7 _aJN
_2bicssc
072 7 _aEDU
_x000000
_2bisacsh
082 0 4 _a370.72
_223
245 0 0 _aEmerging trends in learning analytics :
_bleveraging the power of education data /
_cedited by Myint Swe Khine.
264 1 _aLeiden ;
_aBoston :
_bBrill Sense,
_c[2019]
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _aonline resource
_2rdacarrier
490 0 _aContemporary approaches to research in learning innovations
_v12
490 0 _aEducational Research E-Books Online, Collection 2019, ISBN: 9789004390836
504 _aIncludes bibliographical references.
505 0 0 _tFront Matter --
_tCopyright page --
_tList of Figures and Tables --
_tNotes on Contributors --
_tIntroduction --
_tBig Data Analytics in Education for Dynamic Personalised Learning Design /
_rMyint Swe Khine --
_tTrends in Learning Analytics --
_tPost-Traditional Learning Analytics /
_rAlexander Amigud --
_tThe Use of Analytics for Educational Purposes /
_rMin Liu , Zilong Pan , Xin Pan , Dongwook An , Wenting Zou , Chenglu Li and Yi Shi --
_tA Snapshot of Research on Learning Analytics /
_rSelcan Kilis and Yasemin Gulbahar --
_tThe Benefits of Learning Analytics in Open and Distance Education /
_rBilly Tak-Ming Wong --
_tPedagogical Applications of Learning Analytics --
_tThe New Smarts in Teaching and Learning /
_rJon Mason , Stefan Popenici , Leigh Blackall and Peter Shaw --
_tFollowing the Learners’ Traces /
_rArif Altun and Mehmet Kokoç --
_tAnalytical Indicators for Profiling and Improving Engagement and Success of Vulnerable Participants /
_rMirella Atherton --
_tTriangulating Student Engagement with “Built and Bought” Learning Analytics /
_rJohn Fritz and Robert Carpenter --
_tLearning Analytics and Educational Research --
_tImplementation of a Learning Analytics System in a Productive Higher Education Environment /
_rClara Schumacher , Daniel Klasen and Dirk Ifenthaler --
_tDiscourse Analysis Visualization Based on Community of Inquiry Framework /
_rMasanori Yamada , Yoshiko Goda , Kosuke Kaneko , Junko Handa and Yumi Ishige --
_tLearning Support Systems Based on Cohesive Learning Analytics /
_rFumiya Okubo , Masanori Yamada , Misato Oi , Atsushi Shimada , Yuta Taniguchi and Shin’ichi Konomi --
_tThe Learning Analytics and Flipped PBL for Tool-Design Learning /
_rIl-Hyun Jo --
_tLearning Analytics Cockpit for MOOC Platforms /
_rKarin Maier , Philipp Leitner and Martin Ebner.
520 _aThe term 'learning analytics' is defined as the measurement, collection, analysis, and reporting of information about learners and their contexts for the purposes of understanding and optimizing learning. In recent years learning analytics has emerged as a promising area of research that trails the digital footprint of the learners and extracts useful knowledge from educational databases to understand students’ progress and success. With the availability of an increased amount of data, potential benefits of learning analytics can be far-reaching to all stakeholders in education including students, teachers, leaders, and policymakers. Educators firmly believe that, if properly harnessed, learning analytics will be an indispensable tool to enhance the teaching-learning process, narrow the achievement gap, and improve the quality of education. Many investigations have been carried out and disseminated in the literature and studies related to learning analytics are growing exponentially. This book documents recent attempts to conduct systematic, prodigious and multidisciplinary research in learning analytics and present their findings and identify areas for further research and development. The book also unveils the distinguished and exemplary works by educators and researchers in the field highlighting the current trends, privacy and ethical issues, creative and unique approaches, innovative methods, frameworks, and theoretical and practical aspects of learning analytics. Contributors are: Arif Altun, Alexander Amigud, Dongwook An, Mirella Atherton, Robert Carpenter, Martin Ebner, John Fritz, Yoshiko Goda, Yasemin Gulbahar, Junko Handa, Dirk Ifenthaler, Yumi Ishige, Il-Hyun Jo, Kosuke Kaneko, Selcan Kilis, Daniel Klasen, Mehmet Kokoç, Shin'ichi Konomi, Philipp Leitner, ChengLu Li, Min Liu, Karin Maier, Misato Oi, Fumiya Okubo, Xin Pan, Zilong Pan, Clara Schumacher, Yi Shi, Atsushi Shimada, Yuta Taniguchi, Masanori Yamada, and Wenting Zou.
650 0 _aEducation
_xResearch
_xStatistical methods.
650 0 _aEducation
_xData processing.
650 0 _aLearning
_xEvaluation.
650 0 _aEducational evaluation.
700 1 _aKhine, Myint Swe,
_eeditor.
776 0 8 _iPrint version:
_tEmerging Trends in Learning Analytics: Leveraging the Power of Education Data
_dLeiden, Boston : Brill | Sense, [2019],
_z9789004396616
830 0 _aContemporary Approaches to Research in Learning Innovations
_v012.
830 0 _aEducational Research E-Books Online, Collection 2019, ISBN: 9789004390836.
856 4 _zDOI:
_uhttp://dx.doi.org/10.1163/9789004399273
999 _c29159
_d29159