BlockPython Aids Transition from Block-Based to Python Coding.

The transition from visual block-based programming environments to text-based languages like Python often presents a significant cognitive hurdle for learners. This shift requires converting visually structured program elements into abstract textual expressions, creating a gap between understanding computational concepts and mastering Python syntax. To facilitate this crucial learning phase, a new platform called BlockPython has been developed. BlockPython's core functionality revolves around bidirectional translation, allowing learners to see their code simultaneously in block and Python formats. The platform guides users through four progressive stages: Task Decomposition, Block-Based Practice, Code Challenge, and Extended Interaction. These stages are designed to help learners gradually build connections between program structure, runtime behavior, and the corresponding textual code. Throughout the learning process, BlockPython continuously gathers "process evidence," including block artifacts, code versions, execution outcomes, support usage, and dialogue. This evidence is then utilized by deterministic diagnosis, program visualization, and a learning assistant to pinpoint specific difficulties in computational understanding or Python expression. A rule-based system handles program execution and evaluation, while the learning assistant provides verified explanations, prompts, and guiding questions, offering a comprehensive support mechanism for this challenging transition.