By offering a large number of highly diverse resources, learning platforms have been attracting lots of participants, and the interactions with these systems have generated a vast amount of learning-related data. Their collection, processing and analysis have promoted a significant growth of machine learning and knowledge discovery approaches and have opened up new opportunities for supporting and assessing educational experiences in a data-driven fashion. Being able to understand students' behavior and devise models able to provide data-driven decisions pertaining to the learning domain is a primary property of learning platforms, aiming at maximizing learning outcomes.
However, the use of knowledge discovery in education also raises a range of ethical challenges including transparency, reliability, fairness, and inclusiveness. The purpose of RKDE, Responsible Knowledge Discovery in Education, is to encourage principled research that will lead to the advancement of explainable, transparent, ethical and fair data mining and machine learning in the context of educational data. RKDE is an event organized into two moments: a tutorial to introduce the audience to the topic, and a workshop to discuss recent advances in the research field. The tutorial will provide a broad overview of the state of the art on the major applications for responsible approaches and their relationship with the educational context. Moreover, it will present hands-on case studies that practically shows how knowledge discovery tasks can be responsibly addressed in education. The workshop will seek top-quality submissions addressing uncovered important issues related to ethical, fair, explainable and transparent data mining and machine learning in education. Papers should present research results in any of the topics of interest for the workshop as well as application experiences, tools and promising preliminary ideas. RKDE asks for contributions from researchers, academia and industries, working on topics addressing these challenges primarily from a technical point of view, but also from a legal, ethical or sociological perspective.
Topics of interest include, but are not limited to: