Xinran Dong

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About

Xinran Dong is a rising scholar in educational technology, whose work centers on computer-supported collaborative learning (CSCL) and the integration of robotics in programming education. Her primary research explores how scaffolded instruction enhances collaborative problem-solving, particularly in higher education settings. In her most-cited paper, "The Effects of Three Scaffoldings on Computer-Supported, Robot-Assisted Collaborative Programming in Higher Education" (2024, 11 citations), Dong investigates a novel CSCL mode—computer-supported, robot-assisted collaborative programming (CSRACP)—where students work in groups with robotic support to complete complex programming tasks. This study systematically compares different scaffolding strategies, offering practical insights for designing effective, technology-enhanced learning environments. Though early in her career, Dong’s work has already garnered attention for bridging human-robot interaction and collaborative pedagogy. Her research holds promise for transforming how students learn to code, emphasizing teamwork, real-time feedback, and adaptive support. As the field of AI-assisted education grows, Dong’s contributions are poised to shape future instructional designs in computer science and STEM education.