000 | 01693nam a22003378i 4500 | ||
---|---|---|---|
001 | 698098 | ||
005 | 20210719180126.0 | ||
008 | 170227s2017 enka f 000|0|eng|d | ||
020 |
_a9781138931732 (pbk.) : _c£24.99 |
||
035 | _a(StDuBDS)9781138931732 | ||
040 |
_aStDuBDS _beng _cStDuBDS _erda |
||
072 | 7 |
_aEDU _2eflch |
|
072 | 7 |
_aEDU _2ukslc |
|
082 | 0 | 4 |
_a370.7'2 _223 |
100 | 1 |
_aSclater, Niall, _eauthor. |
|
245 | 1 | 0 |
_aLearning analytics explained / _cby Niall Sclater. |
264 | 1 |
_aLondon : _bRoutledge, _c2017. |
|
300 |
_a272 pages : _billustrations (black and white) |
||
336 |
_atext _2rdacontent |
||
336 |
_astill image _2rdacontent |
||
337 |
_aunmediated _2rdamedia |
||
338 |
_avolume _2rdacarrier |
||
520 | 8 | _a'Learning 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, but there is 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. | |
521 | _aSpecialized. | ||
650 | 0 |
_aEducation _xResearch _xData processing. |
|
650 | 0 |
_aStudents _xResearch _xData processing. |
|
650 | 0 | _aData mining. | |
650 | 7 |
_aEducation. _2eflch |
|
650 | 7 |
_aEducation. _2ukslc |
|
942 | _n0 | ||
999 |
_c49514 _d49514 |