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| 007 | cr un uuuua | ||
| 008 | 190206s2019 ne b 000 0 eng | ||
| 010 | _a 2019005549 | ||
| 020 |
_a9789004399273 _q(electronic book) |
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| 020 |
_z9789004396616 _q(print) |
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_a10.1163/9789004399273 _2DOI |
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| 040 |
_aNL-LeKB _cNL-LeKB _erda |
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| 050 | 4 |
_aLB1028.43 _b.E448 2019 |
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_aJN _2bicssc |
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_a370.72 _223 |
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_aEmerging trends in learning analytics : _bleveraging the power of education data / _cedited by Myint Swe Khine. |
| 264 | 1 |
_aLeiden ; _aBoston : _bBrill Sense, _c[2019] |
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| 300 | _a1 online resource. | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_aunmediated _bn _2rdamedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 0 |
_aContemporary approaches to research in learning innovations _v12 |
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| 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. |
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| 650 | 0 |
_aEducation _xData processing. |
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| 650 | 0 |
_aLearning _xEvaluation. |
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| 650 | 0 | _aEducational evaluation. | |
| 700 | 1 |
_aKhine, Myint Swe, _eeditor. |
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| 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. |
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| 830 | 0 | _aEducational Research E-Books Online, Collection 2019, ISBN: 9789004390836. | |
| 856 | 4 |
_zDOI: _uhttp://dx.doi.org/10.1163/9789004399273 |
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| 999 |
_c29159 _d29159 |
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