Athena

List of Modules

Module	Type	Description
`module_example`	Programming	Contains a simple example of a module, which can be used as a template for new modules. It is only used for testing purposes.
`module_programming_themisml`	Programming	The module uses ANTLR47 and CodeBERT for parsing submissions and identifying feedback methods, and refines feedback through filters, flagging overly generic feedback and reinstating valid feedback when similar suggestions recur for the same method.
`module_programming_llm`	Programming	Employs large language models to generate context-specific feedback for programming exercises by integrating elements like file-specific problem statements, grading instructions, and submission files, following a workflow of formatting prompts, predicting, and parsing feedback suggestions.
`module_text_llm`	Text	Large language model based feedback suggestions using a three-step workflow of formatting prompts with rich context, predicting and parsing feedback suggestions, managing token limits by omitting parts of input. Additionally, it incorporates an LLM-as-a-judge approach for automatic evaluation of suggestions.
`module_text_cofee`	Text	CoFee is a machine learning-based approach that automates grading by employing topic modeling, segment-based grading, and hierarchical clustering to suggest feedback, significantly reducing grading effort by identifying groups of similar text segments for efficient and precise feedback generation.