Data, and specifically student data, has always been an integral part of good teaching as well as providing evidence for strategic and operational planning, resource allocation, pedagogy, and student support. As Open, Distance, and Digital Education (ODDE) become increasingly datafied, institutions have access to greater volumes, variety, and granularity of student data, from more diverse sources than ever before. This provides huge opportunity for institutions, and specifically educators and course support teams, to better understand learning, and provide more appropriate and effective student support.
%0 Book Section
%1 Prinsloo2022
%A Prinsloo, Paul
%B Handbook of Open, Distance and Digital Education
%C Singapore
%D 2022
%I Springer Nature Singapore
%K data digitalisation distanceeducation learninganalytics openeducation retention studentsuccess
%P 1--16
%R 10.1007/978-981-19-0351-9_57-1
%T Learning Analytics in Open, Distance, and Digital Education (ODDE)
%U https://doi.org/10.1007/978-981-19-0351-9_57-1
%X Data, and specifically student data, has always been an integral part of good teaching as well as providing evidence for strategic and operational planning, resource allocation, pedagogy, and student support. As Open, Distance, and Digital Education (ODDE) become increasingly datafied, institutions have access to greater volumes, variety, and granularity of student data, from more diverse sources than ever before. This provides huge opportunity for institutions, and specifically educators and course support teams, to better understand learning, and provide more appropriate and effective student support.
%@ 978-981-19-0351-9
@inbook{Prinsloo2022,
abstract = {Data, and specifically student data, has always been an integral part of good teaching as well as providing evidence for strategic and operational planning, resource allocation, pedagogy, and student support. As Open, Distance, and Digital Education (ODDE) become increasingly datafied, institutions have access to greater volumes, variety, and granularity of student data, from more diverse sources than ever before. This provides huge opportunity for institutions, and specifically educators and course support teams, to better understand learning, and provide more appropriate and effective student support.},
added-at = {2022-09-11T09:39:09.000+0200},
address = {Singapore},
author = {Prinsloo, Paul},
biburl = {https://www.bibsonomy.org/bibtex/232d937a676aeb930404c1cf35a8058d8/ereidt},
booktitle = {Handbook of Open, Distance and Digital Education},
doi = {10.1007/978-981-19-0351-9_57-1},
interhash = {7412763e09eaa330572bd3081439f7f0},
intrahash = {32d937a676aeb930404c1cf35a8058d8},
isbn = {978-981-19-0351-9},
keywords = {data digitalisation distanceeducation learninganalytics openeducation retention studentsuccess},
pages = {1--16},
publisher = {Springer Nature Singapore},
timestamp = {2022-09-11T09:39:09.000+0200},
title = {Learning Analytics in Open, Distance, and Digital Education (ODDE)},
url = {https://doi.org/10.1007/978-981-19-0351-9_57-1},
year = 2022
}