(2015). LATUX: An iterative workflow for designing, validating, and deploying learning analytics visualizations. Journal of Learning Analytics, 2(3), 9–39. http://dx.doi.org/10.18608/jla.2015.23.3 LATUX: An Iterative Workflow for Designing, Validating, and Deploying Learning Analytics Visualizations Roberto Martinez-Maldonado Connected Intelligence Centre, University of Technology Sydney, Australia School of Information Technologies, The University of Sydney, Australia
[email protected] Abelardo Pardo School of Electrical & Information Engineering, The University of Sydney, Australia Negin Mirriahi School of Education & Learning and Teaching Unit, University of New South Wales, Australia Kalina Yacef School of Information Technologies, The University of Sydney, Australia Judy Kay School of Information Technologies, The University of Sydney, Australia Andrew Clayphan School of Information Technologies, The University of Sydney, Australia ABSTRACT: Designing, validating, and deploying learning analytics tools for instructors or students is a challenge that requires techniques and methods from different disciplines, such as software engineering, human–computer interaction, computer graphics, educational design, and psychology. Whilst each has established its own design methodologies, we now need frameworks that meet the specific demands of the cross-disciplinary space defined by learning analytics are needed. In particular, LAK needs a systematic workflow for creating tools that truly underpin the learning experience. In this paper, we present a set of guiding principles and recommendations derived from the LATUX workflow. This is a five-stage workflow to design, validate, and deploy awareness interfaces in technology-enabled learning environment. LATUX is based on well-established design processes for creating, testing, and re-designing user interfaces.