TIPS for writing LAK papersTips for Writing - Separate page pop out Given the interdisciplinary nature of the Learning Analytics research community, to best communicate study results, we encourage authors to pay attention to the following questions in preparing their submissions: What was the learning context for the work and the value proposition for how data can be used to make a meaningful impact on teaching, learning or other educational activity? What environmental factors influenced the generation, collection and sampling of data used in the study and how may these impact results and/or their generalizability? How is the work informed by and/or contributes to current theories of learning? What is the justification for the choice of data analysis methods used and any specific decisions made within them? What is the argument for why these methods lead to valid conclusions with respect to the research questions asked? What is the most powerful or surprising part of the results? Is this seen as powerful or surprising by the people involved? What changes in teaching and learning activities do you envision that could be realistically derived from the work? What limitations with respect to data, analysis or framing factor should be taken into account? What is the value and potential impact of the initiative at scale? What is the contribution to theory and/or practice? What are lessons learned from aspects of the learning analytics initiatives that did not turn out as expected?