DERN

Learning analytics and educational data mining in practice: a systematic literature review of empirical evidence

Posted on 09 Dec 2014 with 0 comments

This paper aims to provide the reader with a comprehensive background for understanding current knowledge on Learning Analytics (LA) and Educational Data Mining (EDM) and its impact on adaptive learning. The paper starts by examining what we now know about LA for evidence, that suggests LA appears to be in the midst of a hype cycle, and then examines some conceptual and theoretical frameworks around hype cycles, technology implementation, complex systems and models of university learning.

Subscribe to read the rest of the article »Log in

In the spotlight

Featured category: 21st century skills

NMC Horizon Report > 2018 Higher Education Edition

Australian Educational Technologies Trends (AETT) report
Over 100 leading Australian and international educators and experts concerned with Australian education contributed to this report on how Educational Technologies and the computing curriculum is currently being implemented in Australian schools, and the changes that may occur in the near future (5 years).

Students, computers and learning - making the connection
OECD report examines how students access to and use ICT

Mobile learning – why tablets? -- DERN's research brief looks at mobile learning and why tablets are so popular.

All Categories »

Research Reports

Learning analytics and educational data mining in practice: a systematic literature review of empirical evidence

In the spotlight

Browse by Category