Papers
1
Total Citations
25
H-Index
1
About
Hong Lan is a leading researcher in educational technology, with a primary focus on the integration of robotics and computational thinking in K-12 education. Her most influential work, a 2023 meta-analysis examining the impact of educational robots on students' computational thinking, has garnered 25 citations and serves as a cornerstone for understanding how hands-on, robot-mediated learning environments foster critical problem-solving skills. Lan’s research systematically synthesizes empirical evidence to reveal the nuanced effects of robot design, curriculum integration, and student age on learning outcomes, offering actionable insights for educators and curriculum developers. Beyond this landmark study, her contributions extend to exploring the pedagogical frameworks that make technology-enhanced learning effective, bridging the gap between theoretical computer science concepts and classroom practice. With a career dedicated to demystifying how young learners engage with computational ideas, Lan’s work is essential reading for researchers and practitioners seeking evidence-based strategies to cultivate the next generation of innovators. Her rigorous meta-analytic approach and clear, impactful findings continue to shape the discourse on educational robotics worldwide.
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Top Papers
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