Let’s not forget: Learning analytics are about learning
By Dragan Gasevic, Shane Dawson, George Siemens. TechTrends, 2014
927 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Science Applications, Education
View Paper: https://www.semanticscholar.org/paper/671995bf3d30011591429be0e69b26638f160905
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Computer Science Applications
- Michail N. Giannakos
- Katerina Mangaroska
- Dragan Gasevic
- Shane Dawson
- Yannis A. Dimitriadis
- Tim Rogers
- Danijela Gasevic
- George Siemens
In Education
- Michail N. Giannakos
- Katerina Mangaroska
- Dragan Gasevic
- Wannisa Matcha
- Shane Dawson
- Nora'ayu Ahmad Uzir
- Yannis A. Dimitriadis
- Abelardo Pardo
Citations in the corpus
- A collaborative learning approach to dialogic peer feedback: a theoretical framework (2020, background): “Learning analytics (Ga sevi c, Dawson, and Siemens 2015) can be used to empower instructors to intervene as necessary based on actionable insights derived from student engagement data.”
- Learning Analytics for Learning Design: A Systematic Literature Review of Analytics-Driven Design to Enhance Learning (2019, methodology): “, [36] one of the most important tasks of learning analytics is the “development of measures that can increase the understanding into the learning processes and interpret those measures to inform existing theories for the purpose of developing actionable initiatives in teaching practices and design ”
- Learning analytics should not promote one size fits all: The effects of instructional conditions in predicting academic success (2016, background): “There are several advantages in leveraging existing learning theory to investigate the nature of these contextual factors, discussed at length elsewhere in the literature (Gaševi ć , Dawson, & Siemens, 2015; Rogers, Gaševi ć , & Dawson, in press).”
- A Systematic Review of Empirical Studies on Learning Analytics Dashboards: A Self-Regulated Learning Perspective (2020, background): “Very few of those studies indeed used theory-informed decisions in the choices of their indicators, which triggered questions of validity [2], [5].”