Social learning analytics: five approaches
By Rebecca Ferguson, Simon Buckingham Shum. International Conference on Learning Analytics and Knowledge, 2012
313 citations recorded by the source corpus.
Subfields: Computer Science Applications, Developmental and Educational Psychology, Education
View Paper: https://www.semanticscholar.org/paper/4a889cc5feb58bdde47206e715cf1b2383fbda6f
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In Computer Science Applications
In Developmental and Educational Psychology
In Education
Citations in the corpus
- Perceiving Learning at a Glance: A Systematic Literature Review of Learning Dashboard Research (2017, unknown): “[37] I T S L, I A 9 219 [38] T, I T, S L 1 [10] T, I T, S U L, I, LA, DB 4 [39] T, I T, S 3 [28] T, I T, S L, I, LA 3 A 1,169 [40] I T, S U L, E 2 A 22 [41] I T U L, E 3 C 6 [42] I T, S, R S L, LA 1 [43] I T U L, LA 2 [32] I S U L 1 A 28 [44] I T U L 2 C 4 [45] I T L 1 [46] I T U L 1 [47] T, I S U L”
- Educational data mining and learning analytics for 21st century higher education: A review and synthesis (2019, unknown): “Networked learning benefits from the utilization of technology to establish connections between students, instructors, commu- nities, and resources (Ferguson and Shum, 2012).”
- The impact of learning design on student behaviour, satisfaction and performance: A cross-institutional comparison across 151 modules (2016, background): “In terms of social LA conceptualisations, the next five categories describe different options available to teachers to create an interactive, social learning environment (Buckingham Shum & Ferguson, 2012; Ferguson & Buckingham Shum, 2012; Hickey et al., 2014).”