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    Development of an Algorithm and Module for Automatic Evaluation of Student Papers Based on Semantic Analysis of Text by A. A. Poguda, Jean Max Habib Tape

    Published 2024-07-01
    “…The main objectives of developing a module for automatic assessment of students’ papers based on the Russian grading scale system are:– Increased grading efficiency: the automatic system can process a larger number of papers in less time than a lecturer, reducing the time spent on checking;– Grading objectivity: the automated system is not subject to bias and other human factors, which ensures more objective grading of papers;– Standardization of grading: the automated system provides a uniform approach to grading, making it more transparent and comparable;– Reduced workload for lecturers: freeing lecturers from the routine work of checking papers allows them to devote more time to individual work with students.Materials and methods. Various methods can be used to develop a module for automatic assessment of students’ work, such as:Machine learning techniques: these techniques allow the module to learn from a set of examples where lecturers have already assessed students’ papers and automatically grade new papers.Natural Language Processing (NLP) methods: these methods allow the module to understand the meaning of text and evaluate it against given criteria.Expert systems methods: these methods allow the module to utilize the knowledge of experts in assessing students’ papers. …”
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