Afaf Baabdullah
Papers
1
Total Citations
10
H-Index
1
About
Afaf Baabdullah is a researcher whose work sits at the intersection of computing education and cognitive development, with a particular focus on how young learners engage with programming. Her key research areas include analogical reasoning in block-based programming, debugging strategies, and the use of educational robotics to foster computational thinking. In her most cited work, "Revisiting Analogical Reasoning in Computing Education: Use of Similarities Between Robot Programming Tasks in Debugging" (2023, 10 citations), Baabdullah conducted a multi-case study examining how novice programming learners—particularly those in early childhood education—leverage similarities between virtual and physical robot tasks to debug code. This contribution is notable for being one of the first to explore analogical reasoning in a block-based, dual-environment context, bridging a gap between cognitive theory and practical pedagogy. Her findings offer actionable insights for designing more effective, scaffolded learning experiences. With a growing citation record and a focus on foundational learning stages, Baabdullah is helping shape how we teach problem-solving and logical thinking to the next generation of programmers.
Research Focus
Key Achievements
Top Papers
- 1