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 research group leader at the 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. 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.