LAK 2019 - 9th International Conference on Learning Analytics & Knowledge

The 2019 edition of the international conference on Learning Analytics & Knowledge will take place in Tempe, Arizona, USA. LAK19 is organised by the Society for Learning Analytics Research (SoLAR) and hosted by Arizona State University.
We take learning analytics to be the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs. We extend invitations to researchers, practitioners, educators, leaders, administrators, government and industry professionals interested in the field of learning analytics and related disciplines.
LAK19 will place particular emphasis on exploring ways in which institutions around the globe are advancing the state of learning analytics in order to promote inclusion and success. Arizona State University, the host institution for LAK19, proclaims in its charter that ASU is ‘measured not by whom it excludes, but by whom it includes and how they succeed’. Learning analytics play a significant role at many institutions in helping to promote these values.
Thus the special theme of this edition of the conference will be on ways in which learning analytics can be used to promote inclusion and success. We define inclusion broadly and this definition may cover the engagement of marginalised groups, groups who have not been as successful as others at achieving educational success, learners who find their current curriculum either too challenging or not sufficiently demanding, or other forms of inclusive inquiry. It may also address issues of accessibility in terms of educational opportunities and learning analytics. Success is also defined broadly and may be viewed from the perspective of learners, educators, institutions or society more broadly.
We welcome theoretical, methodological, empirical and technical contributions to all fields related to learning analytics. Related to our special theme the following topics are of particular interest:
Universal design for learning promotes an inclusive approach to the curriculum – how can learning analytics support curriculum design and revision from this perspective?
How can analytics be applied in ways that support inclusion and success?
How can the training of data scientists be made more inclusive?
What does educational success look like, and how can it be supported?
How can systematic biases (e.g. related to diversity) in our analytics algorithms be identified, reflected, and possibly avoided?
LAK19 will use a double-blind peer review process for the submissions. It is a LAK policy that submissions will only be considered for the category that they were originally submitted to, and there is no downgrading of papers. However, our timeline allows for rejected papers to be resubmitted in revised form as posters, demos, or individual workshop contributions. Accepted full and short research papers will be included in the ACM proceedings, as in previous years. Other accepted submissions will be published in the open access Companion Proceedings, archived on the SoLAR website.