Abstract: Twenty-first-century learners are continuously required to nurture their competencies by acquiring new knowledge and mastering new skills. A way to meet this significant demand for learning is to offer learners continuous instruction and timely feedback. In the internet era, learners have access to a large variety of educational content outside formal education curricula, including online courses or video lectures. Unfortunately, access to content alone is not sufficient for guaranteeing to learn. What is needed, and often lacking, is proper guidance and feedback. Artificial Intelligence (AI) systems can provide automatic, personalised, real-time feedback to learners in distance learning settings when a human expert is unavailable. AI feedback has the potential to be always available and can allow learners to practice deliberately and repeatedly at their own pace. Embedding AI feedback into immersive and multimodal technologies, like Augmented and Virtual Reality (AR/VR) or sensor-based systems, enables learners to train physical learning tasks alongside traditional cognitive tasks. This interactive session dives into existing approaches, architectures, and methodologies using AI and immersive technologies to augment educational feedback. We illustrate relevant application use cases of augmented feedback which can shape the online teaching of the future. Bio: Daniele Di Mitri is a research team leader of the “Augmented Feedback” group at DIPF Leibniz Institute for Research and Information in Education and a lecturer at the Goethe University of Frankfurt, Germany. Daniele received his PhD entitled “The Multimodal Tutor” at the Open University of The Netherlands (2020) in Learning Analytics and wearable sensor support. His research focuses on collecting and analysing multimodal data during physical interactions for automatic feedback and human behaviour analysis. Daniele’s current research focuses on designing responsible Artificial Intelligence applications for education and human support. He is a “Johanna Quandt Young Academy” fellow and was elected “AI Newcomer 2021” at the KI Camp by the German informatics society and received the “Martin Wolpers Award” in technology-enhanced learning 2018. He is a member of the editorial board of Frontiers in Artificial Intelligence journal, a member of the CrossMMLA, a special interest group of the Society of Learning Analytics Research, and chair of the Learning Analytics Hackathon (LAKathon) series.