Brian R. Belland
Papers
4
Total Citations
20
H-Index
3
About
Brian R. Belland is a leading scholar in the learning sciences, whose research sits at the intersection of educational technology, computer science education, and teacher professional development. His work is particularly distinguished by its focus on supporting preservice early childhood teachers as they navigate the challenges of learning to program and debug. Belland’s major contributions include pioneering the use of analogical reasoning as a scaffold for debugging in block-based programming environments, demonstrating how similarities between robot programming tasks can unlock critical cognitive skills in novice learners. His studies, such as the multi-case analysis of analogical reasoning (10 citations), have provided foundational insights into how young children and their teachers can develop computational thinking through playful, resilient engagement with robots. By integrating motivation variables, sentiment analysis, and word count data to classify the quality of robotics-enhanced lesson plans, Belland has advanced rigorous, mixed-methods approaches to evaluating educational interventions. His work on transferring scaffolding responsibility to teachers underscores a commitment to sustainable, classroom-ready practices. With a growing citation impact, Belland is shaping how we understand and foster social resilience and persistent action in early childhood computer science education.
Research Focus
Key Achievements
Top Papers
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