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Challenging Assumptions in Learning Analytics
- Source :
- Dawson, S, Gasevic, D & Mirriahi, N 2016, ' Challenging Assumptions in Learning Analytics ' vol. 2, no. 3, pp. 1-3 . DOI: 10.18608/jla.2015.23.1, Journal of Learning Analytics; Vol 2 No 3 (2015): Selected and Extended Papers from the Fifth International Conference on Learning Analytics & Knowledge; 1-3
- Publication Year :
- 2016
-
Abstract
- This final issue for 2015 includes a special section of invited papers from the recent Learning Analytics and Knowledge conference (LAK15). The collected papers connect with the conference theme of “Scaling up: Big data to Big Impact” and reflect the emerging trends and future directions of learning analytics research.
- Subjects :
- Computer science
business.industry
05 social sciences
Big data
Learning analytics
050301 education
02 engineering and technology
021001 nanoscience & nanotechnology
Data science
Computer Science Applications
Education
Software analytics
Analytics
Special section
0210 nano-technology
business
0503 education
Theme (computing)
Cultural analytics
ComputingMilieux_MISCELLANEOUS
Subjects
Details
- Language :
- English
- ISSN :
- 19297750
- Database :
- OpenAIRE
- Journal :
- Dawson, S, Gasevic, D & Mirriahi, N 2016, ' Challenging Assumptions in Learning Analytics ' vol. 2, no. 3, pp. 1-3 . DOI: 10.18608/jla.2015.23.1, Journal of Learning Analytics; Vol 2 No 3 (2015): Selected and Extended Papers from the Fifth International Conference on Learning Analytics & Knowledge; 1-3
- Accession number :
- edsair.doi.dedup.....7f54f8ac2cff4eed263fba7ecf1731dc