Niklas Humble

Niklas Humble is a Senior Lecturer in Computer Science at the University of Gävle, Sweden. His research focuses on programming education, game-based learning, and the integration of artificial intelligence in K-12 settings. He is actively involved in the SPEDAT project (Games for Computational Thinking) at Mid Sweden University, developing digital games to teach programming fundamentals to students aged 7-12.

• PhD in Computer and Systems Science from Mid Sweden University

Humble's research explores how programming can be effectively incorporated into mathematics and technology education through design science, learning analytics, and inclusive game design. He investigates the impact of generative AI on educational practices, cognitive load in computing education, and strategies for equitable engagement of girls and boys in programming. His work includes the development of educational escape rooms and mixed-gender game environments to foster computational thinking.

Recent publications analyze AI's role in education (as threat, hype, or promise), ethical implications of AI-enhanced learning, and the evolution of computational thinking concepts in K-12 programming solutions. Collaborations with researchers like Peter Mozelius and Lena Sällvin highlight his interdisciplinary approach to educational technology.