Courses

Are you interested in learning more about how technology can enhance learning in various contexts and domains? Do you want to gain the skills and knowledge to design, implement, and evaluate effective and innovative technology-enhanced learning solutions? Do you want to explore the ethical, social, and cultural implications of using technology for learning?

If yes, then you have come to the right place. I am a lecturer in technology-enhanced learning (TEL) with over 10 years of experience in teaching, researching, and consulting in the field of TEL. I have a PhD in Learning Analytics from the Open University of The Netherlands.

I offer a range of courses in:

Online learning: I can provide courses on the history, theory, practice, and future of online learning, including the benefits, challenges, and best practices of designing, delivering, and evaluating online courses and programs. I can also cover blended learning, flipped learning, MOOCs, OERs, and e-learning standards.

Adaptive learning: I can provide courses on the concept, principles, models, and examples of adaptive learning, which is a form of personalised learning that uses technology to tailor the learning content, pace, and feedback to the individual learner's needs, preferences, and goals. I can also cover adaptive systems, adaptive testing, adaptive feedback, and adaptive instruction.

Learning analytics: I can provide courses on the collection, analysis, and use of data to understand and improve learning processes, outcomes, and experiences. I can also cover learning analytics methods, tools, frameworks, applications, ethics, and challenges.

Artificial intelligence in education: I can provide courses on using artificial intelligence (AI) techniques and technologies to support and enhance learning and teaching. I can also cover intelligent tutoring systems, natural language processing, computer vision, machine learning, deep learning, and AI ethics.

Responsible AI: I can provide courses on the concept, principles, practices, and examples of responsible AI, which is a form of AI that is aligned with human values, norms, and laws and that respects the rights, dignity, and autonomy of humans and other stakeholders. I can also cover topics such as AI governance, AI accountability, AI transparency, AI explainability, AI fairness, AI privacy, and AI safety.

My courses, lectures or talks suit various audiences, such as students, teachers, researchers, practitioners, policymakers, or the general public. I can deliver them in different formats, such as live, recorded, online, or face-to-face. I can also customise them according to your needs, interests, and objectives.

If you are interested in hiring me as your lecturer in TEL, please get in touch with me.

Published by Daniele Di Mitri

Daniele Di Mitri is a professor of Multimodal Learning Technologies at the German University of Digital Science. At the German UDS, he leads the research group "Augmented Feedback" and coordinates the master's in Advanced Digital Realities.  He is an associated researcher at the DIPF - Leibniz Institute for Research and Information in Education and a lecturer at the Goethe University of Frankfurt, Germany. Daniele Di Mitri received his PhD in Learning Analytics and Wearable Sensor Support from the Open University of the Netherlands. His current research focuses on developing AI-driven, multimodal learning technologies to enhance digital education. It aims to create innovative, responsible solutions that improve learning experiences through advanced feedback systems and ethical integration of technology. He is a "Johanna Quandt Young Academy" fellow and was elected "AI Newcomer 2021" at the KI Camp by the German Informatics Society. He is a member of the CrossMMLA, a special interest group of the Society for Learning Analytics Research, and the chair of the special interest group on AI for Education of the European Association for Technology-Enhanced Learning.