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National Repository of Grey Literature 1 records found  Search took 0.01 seconds. 
Intelligent Environment for Extending Python Programming Knowledge via Self-learning
 Krejčí, Jan ; Nosko, Svetozár (referee) ; Smrž, Pavel (advisor)
This thesis aims to create an intelligent environment for extending the knowledge of Python programming through self-study. A key element of this work is the implementation of feedback mechanisms. For this purpose, the capabilities and limitations of large language models have been analyzed. The developed system uses classification models to provide personalized feedback based on the analysis of student projects. The system has been deployed and tested in the Scripting Languages course at FIT BUT and received positive feedback from students. The outcome presents a comprehensive and functional system that has fulfilled its original intention and contributed to a more effective and interactive Python programming education process.
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