Learning analytics: drivers, developments and challenges
By Rebecca Ferguson. 2012
540 citations recorded by the source corpus.
Subfields: Computer Science Applications
View Paper: https://www.semanticscholar.org/paper/8bb0aa3c0876451cf2b1bfa6619352825e5bc510
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Science Applications
- Cristóbal Romero
- Sebastián Ventura
- Michail N. Giannakos
- Pierre Dillenbourg
- R. Luckin
- Katerina Mangaroska
- Mutlu Cukurova
- Ben Kai Daniel
Citations in the corpus
- Seven HCI Grand Challenges (2019, background): “Who is the owner of the data collected and what rights do learners have with regard to their personal data (Ferguson, 2012)?”
- Perceiving Learning at a Glance: A Systematic Literature Review of Learning Dashboard Research (2017, background): “The interest in analysing student activities registered in technological learning environments is not new [6], [7].”
- Designing educational technologies in the age of AI: A learning sciences-driven approach (2019, background): “Increasing numbers of educational institutions use some type of online learning platform for homework, assessments and communication with parents or other stakeholders (Ferguson, 2012, Templaar, Rienties, & Giesbers, 2015).”
- Educational data mining and learning analytics: An updated survey (2020, background): “And finally, two good specific reviews about LA provide us an introductory to this area (Ferguson, 2012) and an analysis of the citation networks of the area (”
- Learning Analytics for Learning Design: A Systematic Literature Review of Analytics-Driven Design to Enhance Learning (2019, background): “Despite the widely accepted and used term ”learning analytics”, the reference to ”learning” is still young as learning analytics only recently began to make connection with learning theories [10], [15].”