Dear Educational Data Mining enthusiast,<\/p>\n\n\n\n
The International Educational Data Mining Society is pleased to present you the 14th<\/sup> International Conference on Educational Data Mining (EDM 2021) which will be held from June 29th<\/sup> to July 2nd<\/sup>, 2021 in Paris, France (Sorbonne Universit\u00e9).<\/p>\n\n\n\n We are offering sponsorship opportunities to organizations we believe will add to the discourse. We\u2019d like you to participate in this sponsor program. Participating in EDM\u2019s sponsor program is a unique opportunity for your organization to:<\/p>\n\n\n\n <\/p>\n\n\n\n The International Conference on Educational Data Mining is a leading international scientific conference for high-quality data-driven research in technology and education. EDM focuses on mining datasets (using e.g. machine learning and data science methods) for answering educational research questions. Data originates from a growing variety of learning contexts, such as learning management systems, intelligent tutoring systems, educational games, and other data-rich learning activities. Researchers and practitioners attending the conference work with a wide variety of data types, including but not limited to raw log files, student discourse, and sensor data (such as eye-tracking). The overarching goal of our research community is to support learners and teachers more effectively, by developing data-driven understandings of the learning and teaching processes in a wide variety of contexts and for diverse learners.<\/p>\n\n\n\n The theme of this year\u2019s conference is Shifting Landscape of Education: Improving Blended and Distance Learning<\/strong>. The past meetings were in Memphis (TN, USA); London (UK); Madrid (Spain); Raleigh (NC,USA); Wuhan (China); Buffalo (NY, USA), and most recently, Montr\u00e9al (Canada). This year is the first time that EDM will be held in France.<\/p>\n\n\n\n EDM 2019 had approximately 240 registrations, including leading researchers, educators, students, and industry practitioners from around the world to share the research in the rapidly growing field of educational data mining and learning analytics.<\/p>\n\n\n\n The conference draws a diverse group of attendees from fields such as machine learning, data mining, learning analytics, psychometrics, computer science, statistics, artificial intelligence, natural language processing, user modeling and education.<\/p>\n\n\n\nAbout the Conference<\/h4>\n\n\n\n
Who Attends?<\/h4>\n\n\n\n
Sponsorship levels<\/h4>\n\n\n\n