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Mining the frequent use contexts of learning management system tools and assessing their impact on learning outcomes Taxa Hassan ARTICLE INFOABSTRACTKeywords: evaluation methodologies data science

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What is mining form frequent use-contexts?

The mining form frequent use-contexts is a reporting document used to track the most common contexts in which a particular term is used in a specific dataset or corpus.

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Researchers, data analysts, or anyone working with large datasets may be required to file mining form frequent use-contexts to analyze and understand the usage patterns of specific terms.

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Mining form frequent use-contexts can be filled out by inputting the term of interest, selecting the dataset or corpus to analyze, and running the analysis tool to generate the frequency of use-contexts.

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The purpose of mining form frequent use-contexts is to identify the most common contexts in which a term is used, which can help in understanding its semantic associations and usage patterns.

What information must be reported on mining form frequent use-contexts?

The information reported on mining form frequent use-contexts typically includes the term being analyzed, the dataset or corpus used for analysis, and the frequency of different use-contexts.

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