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101 0 $aeng
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181   $2rdacontent
182   $2rdamedia
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200 10$aLearning analytics explained /$fNiall Sclater
205   $a1st ed.
210  1$aNew York ;$aLondon :$cRoutledge,$d2017.
215   $a1 online resource (291 pages)
311 08$a1-138-93172-1 
311 08$a1-317-39456-9 
320   $aIncludes bibliographical references at the end of each chapters and index.
327   $apt. I. Background -- pt. II. Applications -- pt. III. Logistics -- pt. IV. Technologies -- pt. V. Deployment -- pt. VI. Future directions.
330   $aLearning Analytics Explained draws extensively from case studies and interviews with experts in order to discuss emerging applications of the new field of learning analytics. Educational institutions increasingly collect data on students and their learning experiences, a practice that helps enhance courses, identify learners who require support, and provide a more personalized learning experience. There is, however, a corresponding need for guidance on how to carry out institutional projects, intervene effectively with students, and assess legal and ethical issues. This book provides that guidance while also covering the evolving technical architectures, standards, and products within the field.
606   $aEducation$xResearch$xData processing
606   $aStudents$xResearch$xData processing
606   $aData mining
615  0$aEducation$xResearch$xData processing.
615  0$aStudents$xResearch$xData processing.
615  0$aData mining.
676   $a370.72
700   $aSclater$b Niall.$0987934
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910165048403321
996   $aLearning analytics explained$92258899
997   $aUNINA