Attention please!: learning analytics for visualization and recommendation

By Erik Duval. International Conference on Learning Analytics and Knowledge, 2011

409 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Perceiving Learning at a Glance: A Systematic Literature Review of Learning Dashboard Research (2017, background): “papers or general reflections about learning dashboards in the areas of Learning Analytics or Educational Data Mining (namely: [1], [13], [14], [16], [17], [18], [19], [20]).”
Learning dashboards: an overview and future research opportunities (2013, background): “At the same time, there is a growing movement of quantified self in medicine [3], sports, many other fields, and, indeed, learning [4].”
Learning analytics: envisioning a research discipline and a domain of practice (2012, background): “To advance as a field, LA researchers and practitioners need to address the following: (a) development of new tools, techniques, and people; (b) data: openness, ethics, and scope; (c) target of analytics activity; and (d) connections to related fields and practitioners.”
Educational data mining and learning analytics for 21st century higher education: A review and synthesis (2019, positive): “For example, Duval (2011) clarified that by collecting data about user behavior, LA can be useful for providing recommendations about learning resources and activities.”
Learning Analytics Dashboard Applications (2013, background): “At the same time, there is a growing related movement, termed “quantified self,” across several domains, including medicine (Purpura, Schwanda, Williams, Stubler, & Sengers, 2011), sports, and learning (Duval, 2011).”