Monolith, Multiplicity or Multivocality: What do we stand for and where do we go from here?

Main Article Content

Carolyn Penstein Rose

Abstract

This contribution offers a commentary on Neil Selwyn’s write up of his keynote talk from the Learning Analytics and Knowledge Conference in 2018 (Selwyn, this issue).  The article has three main sections, namely an account of what Learning Analytics has done, an account of the values behind Learning Analytics, and some ideas for moving forward.  Thus, this reflection will also address aspects of each of these.

Article Details

How to Cite
Rose, C. P. (2019). Monolith, Multiplicity or Multivocality: What do we stand for and where do we go from here?. Journal of Learning Analytics, 6(3), 31–34. https://doi.org/10.18608/jla.2019.63.6
Section
Invited Dialogue: "What's the Problem with Learning Analytics?" (Selwyn, 2019)
Author Biography

Carolyn Penstein Rose, Carnegie Mellon University

Dr. Carolyn Rosé is an Associate Professor of Language Technologies and Human-Computer Interaction in the School of Computer Science at Carnegie Mellon University.  Her research program is focused on better understanding the social and pragmatic nature of conversation, and using this understanding to build computational systems that can improve the efficacy of conversation between people, and between people and computers. In order to pursue these goals, she invokes approaches from computational discourse analysis and text mining, conversational agents, and computer supported collaborative learning.  She serves as President Elect of the International Society of the Learning Sciences and the Executive Board of the International Artificial Intelligence in Education Society.  She serves as Associate Editor of the International Journal of Computer Supported Collaborative Learning and the IEEE Transactions on Learning Technologies.

References

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