Proceedings of the International Conference on Educational Data Mining (EDM) (14th, Online, June 29-July 2, 2021)

For this 14th iteration of the International Conference on Educational Data Mining (EDM 2021), the conference was held completely online. EDM is organized under the auspices of the International Educational Data Mining Society and was meant to happen in Paris, France. The official theme of this year's conference was Shifting Landscape of Education: Improving Blended and Distance Learning (BDL). This theme focused on identifying learning or teaching strategies that can be used to improve learning in various formats, such as partially or fully online, synchronous or asynchronous, and centralized or federated. In addition to the general topics, research in the following areas was welcomed: receiving implicit and explicit feedback from learners in BDL environments, interacting with students to ensure no learner is left behind, integrating and utilizing learning analytics in BDL environments to cope with switching between in-person and online modes, and addressing emerging privacy and ethical challenges in the new learning setting. This year's conference featured three invited talks: Cristina Conati, Professor at University of British Columbia; Sidney D'Mello, Associate Professor at University of Colorado Boulder; and Pierre Dillenbourg, Professor at École Polytechnique Fédérale de Lausanne. [Individual papers are indexed in ERIC.]