Max Robotics — Global Service Robot Directory + US Certification

About

Giedrius Ziberkas is a forward-thinking researcher at the intersection of computer science education, generative learning objects, and artificial intelligence. His work centers on developing model-driven processes and tools that enable the automatic generation and adaptation of educational content, particularly for robotics-based learning in computer science. Ziberkas introduced the Stage-Based Generative Learning Object (SBM) model, a novel framework that allows for dynamic content specification and adaptation, moving beyond static educational materials. His most-cited paper, "Model-driven processes and tools to design robot-based generative learning objects for computer science education" (2016, 31 citations), has laid foundational groundwork for adaptive, robot-assisted pedagogy. More recently, Ziberkas has ventured into the integration of Generative AI (GenAI) tools within STEM education, as seen in his 2025 publication (4 citations), which proposes a multi-stage modeling approach to foster sustainability and 21st-century problem-solving skills. This emerging work signals his commitment to leveraging cutting-edge AI to address pressing educational challenges. With a career spanning nearly a decade, Ziberkas continues to shape how technology can make learning more responsive, engaging, and sustainable.