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<pdf width="1500px">https://ceur-ws.org/Vol-3667/DS-LAK24_Preface.pdf</pdf>
<pre>
                          3rd Workshop on Data Storytelling Narratives and Learning Analytics

                                                                  Preface

                          Data Storytelling (DS) in Learning Analytics (LA) has proven as an effective approach
                          to communicating insights to non-data experts (e.g., students and teachers). DS brings
                          the promise to incorporate narratives into LA interfaces (e.g., dashboards) to facilitate
                          the provision of direct feedback and pedagogical explanations. The LA community has
                          researched DS principles and techniques to support educational stakeholders in
                          interpreting their teaching and learning progress. However, given the relevance of the
                          story narrative, challenges arise to provide unbiased, fair, and meaningful stories
                          without misleading the communication of insights. This workshop aims to explore the
                          formal and practical challenges and opportunities of DS by engaging in discussions
                          with the LA community. In this workshop, we expect to spark discussion on these main
                          topics: What methods and methodologies of DS from other domains are suitable for
                          LA? How to evaluate the impact of DS in LA? How can we automate the process of
                          generating fair and unbiased data stories to facilitate sense-making and effectively
                          communicate insights? This workshop will bring together storytelling researchers and
                          practitioners, whose data storytelling in LA is a special case, to clarify and converge
                          on the future of DS in LA related to their challenges and opportunities.


                          Program committee

                                •   Gloria Milena Fernandez-Nieto, Monash University, Australia
                                •   Vanessa Echeverria, Monash University, Australia and Escuela Superior
                                    Politécnica del Litoral, Ecuador
                                •   Roberto Martinez-Maldonado, Monash University, Australia
                                •   Yi-shan Tsai, Monash University, Australia
                                •   Lu Lawrence, Utah State University, United States
                                •   Shaveen Singh, Monash University, Australia
                                •   Stanislav Pozdniakov, The University of Queensland, Australia
                                •   Lujie Karen Chen, University of Maryland Baltimore County, United States
                                •   Jiaqi Gong, The University of Alabama, United States
                                •   Louise Yarnall, SRI Education, United States




CEUR
                  ceur-ws.org
Workshop      ISSN 1613-0073
Proceedings

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