BlockPython: A Process-Aware Agent-Supported Platform for the Transition from Block-Based to Python Programming
Learn how BlockPython helps transition from block-based to Python programming with its process-aware agent-supported platform
- Design a platform that supports bidirectional translation between blocks and Python
- Implement a process-aware agent to guide learners through the transition process
- Develop a four-stage program to help learners convert visible program structures into abstract textual expressions
- Test the platform with learners to identify areas for improvement
- Configure the platform to provide real-time feedback and support to learners
Educators and developers of programming platforms can benefit from understanding how BlockPython facilitates the transition from block-based to text-based programming, making it easier for learners to express computational concepts in Python syntax.
💡 BlockPython's bidirectional translation and process-aware agent support can help bridge the cognitive gap between understanding computational concepts and expressing them in Python syntax
Introducing BlockPython: a platform that helps learners transition from block-based to Python programming with ease #programming #education
Key Takeaways
Learn how BlockPython helps transition from block-based to Python programming with its process-aware agent-supported platform
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Abstract:
arXiv:2608.05716v1 Announce Type: new Abstract: The transition from block-based to text-based programming requires learners to convert visible program structures into abstract textual expressions, which may create a cognitive gap between understanding computational concepts and expressing them in Python syntax. To support this transition, we designed and implemented BlockPython. The platform centers on bidirectional translation between blocks and Python and guides learners through four stages: T
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