Max Robotics — Global Service Robot Directory + US Certification

About

Sandra Schulz is a researcher at the intersection of computer science education and intelligent tutoring systems, with a primary focus on supporting students during robotics activities in classroom settings. Her work addresses a critical challenge: how to provide individualized support when a single teacher cannot effectively assist 30 students simultaneously. Schulz’s major contributions include the development of evidence-based learner models and cognitive models that form the foundation for future tutoring systems in robotics education. She conducted two Wizard-of-Oz studies to investigate how such systems might scaffold problem-solving skills, and she created a categorizing taxonomy for problems that commonly arise during robotics activities—a foundational tool for structuring future research. Her empirical studies have examined how robotics courses affect student attitudes, motivation, self-concept, and self-efficacy, revealing key factors that influence students’ decisions to pursue computer science. Though her citation counts are modest (6, 4, and 3 citations for her most-cited works), Schulz’s research is notable for its practical, classroom-oriented approach and its systematic effort to bridge the gap between theoretical models and real-world educational challenges. Her work is particularly valuable for researchers and educators seeking to make robotics education more scalable and effective.