An overview of learning analytics
By Doug Clow. 2013
416 citations recorded by the source corpus.
Subfields: Computer Science Applications
View Paper: https://www.semanticscholar.org/paper/663141a4185349e1d18613ce904715cf6f8cb76c
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
- Sandra G. Nunn
- John T. Avella
- Chris J. Snijders
- Dirk T. Tempelaar
- Bas Giesbers
- Uwe Matzat
- Bart Rienties
- Mansureh Kebritchi
Citations in the corpus
- Predicting Student Performance from LMS Data: A Comparison of 17 Blended Courses Using Moodle LMS (2017, background): “This incomplete availability and access to data may also explain why these studies are largely datadriven [14].”
- In search for the most informative data for feedback generation: Learning analytics in a data-rich context (2015, background): “Although several researchers have worked to link learning analytics to pedagogical theory (Clow, 2013; Dawson, 2008; Macfadyen & Dawson, 2010; Suthers, Vatrapu, Medina, Joseph, & Dwyer, 2008), this is still the exception, rather than the rule.”
- Learning Analytics Methods, Benefits, and Challenges in Higher Education: A Systematic Literature Review. (2016, methodology): “…Analytics Methods and Analyses Baker (2010) Baker and Yacef (2009) Bienkowski, Feng, and Means (2012) Campbell and Oblinger (2007) Clow (2012) Clow (2013) Dawson and Siemens (2014) Johnson, Levine, Smith, and Stone (2010) Reyes (2015) Romero and Ventura (2010) Learning Analytics…”