Papers
1
Total Citations
9
H-Index
1
About
Maik Kurzke is a researcher at the intersection of educational technology and human-computer interaction, with a primary focus on scaling personalized learning in massive open online courses (MOOCs). His most cited work, "When Robots Talk - Improving the Scalability of Practical Assignments in MOOCs Using Chatbots" (2018, 9 citations), introduces a novel approach to addressing one of online education’s most persistent challenges: providing individualized feedback to thousands of learners simultaneously. By leveraging chatbot technology, Kurzke demonstrates how automated conversational agents can simulate tutor-student interactions, enabling practical assignments to be assessed and guided at scale without sacrificing depth or engagement. This contribution is particularly significant for STEM and programming courses, where hands-on exercises are critical but traditionally labor-intensive to evaluate. Kurzke’s research bridges the gap between pedagogical theory and scalable system design, offering a practical solution that has informed subsequent developments in adaptive learning environments. His work underscores the potential of AI-driven tools to democratize high-quality education, making him a notable voice in the ongoing evolution of digital learning platforms.
Research Focus
Key Achievements
Top Papers
- 1