Four paradigms in learning analytics: Why paradigm convergence matters
Learning analytics has matured significantly since its early days. The field has rapidly grown in terms of the reputation of its publication venues, established a vibrant community, and has demonstrated an increasing impact on policy and practice. However, the boundaries of the field are still being...
Main Authors: | Ryan S. Baker, Dragan Gašević, Shamya Karumbaiah |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-01-01
|
Series: | Computers and Education: Artificial Intelligence |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666920X21000151 |
Similar Items
-
Auto/ethnography: A Transformative Research Paradigm
by: Sadruddin Bahadur Qutoshi
Published: (2015-12-01) -
On the necessity for paradigm shift in psychoactive substances research:
the implementation of machine learning and artificial intelligence
by: Ahmed Al-Imam, et al.
Published: (2019-12-01) -
Crowdsourcing—A New Paradigm of Organizational Learning of Public Organizations
by: Regina Lenart-Gansiniec, et al.
Published: (2018-09-01) -
Applications of Learning Analytics in High Schools: A Systematic Literature Review
by: Erverson B. G. de Sousa, et al.
Published: (2021-09-01) -
Artificial intelligence in dermatology: A practical introduction to a paradigm shift
by: Bell R Eapen
Published: (2020-01-01)