Feature engineering for predicting MOOC performance
Increasing data recorded in massive open online course (MOOC) requires more automated analysis. The analysis, which includes making student's prediction requires better strategy to produce good features and reduces prediction error. This paper presents the process of feature engineering for pre...
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主要な著者: | , , , |
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フォーマット: | Conference or Workshop Item |
言語: | English |
出版事項: |
2020
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オンライン・アクセス: | http://eprints.utm.my/id/eprint/94077/1/NorBahiahAhmad2020_FeatureEngineeringforPredictingMOOCPerformance.pdf http://eprints.utm.my/id/eprint/94077/ http://dx.doi.org/10.1088/1757-899X/884/1/012070 |
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