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- W4386504728 abstract "In modern education, course evaluation is one of the important means to improve the quality of teaching. However, traditional methods of course evaluation suffer from subjectivity and lack objectivity, making it difficult to accurately reflect the teaching situation. Therefore, the emergence of machine learning-based automatic scoring technology provides a new approach and method for course evaluation by analyzing student assignments, exams, and other data to generate objective and accurate scoring results. This article discusses the application research of machine learning-based automatic scoring technology in course evaluation, including algorithm selection, model training, and analysis of scoring results. It also provides prospects for the future development direction and application prospects of this technology." @default.
- W4386504728 created "2023-09-08" @default.
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- W4386504728 date "2023-07-06" @default.
- W4386504728 modified "2023-10-16" @default.
- W4386504728 title "Research on the Application of Machine Learning-Based Scientific Argumentation Automatic Scoring in Course Evaluations" @default.
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- W4386504728 doi "https://doi.org/10.54097/ijeh.v9i2.9931" @default.
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