Dr. Marcus Kubsch has been selected to receive the NARST 2025 Early Career Research Award (ECRA). This prestigious honor recognizes his outstanding professional accomplishments, distinguishing him among this year’s nominees.

Dr. Kubsch has made significant contributions to the field of science education, driven by a commitment to equity and a belief in the transformative power of high-quality science instruction. His research focuses on three core areas: Learning Progression Analytics, understanding uncertainty in science education, and advancing research methodologies.

As a pioneer in Learning Progression Analytics (LPA), Dr. Kubsch leverages digital technologies and artificial intelligence (AI) to model student learning trajectories. His research moves beyond broad statistical averages to ensure personalized, adaptive learning experiences that better support individual student growth. His contributions to designing digital learning environments and integrating AI-driven insights have major implications for the future of science education.

Additionally, Dr. Kubsch explores how students comprehend and engage with uncertainty—an essential skill in scientific reasoning. Collaborating with experts, he has developed innovative tools that help students navigate and interpret uncertainty in scientific investigations. His work also addresses the ethical and effective use of AI and related innovative methods in education research, further shaping the field.