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- W4287812060 abstract "E-Learning systems (ELS) and Intelligent Tutoring Systems (ITS) play a significant part in today's education programs. Sequencing questions is the art of generating a personalized quiz for a target learner. A personalized test will enrich the learner's experience and will contribute to a more effective and efficient learning process. In this paper, we used the Neural Collaborative Filtering (NCF) model to generate question sequencing and compare it to a pair-wise memory-based question sequencing algorithm - EduRank. The NCF model showed significantly better ranking results than the EduRank model with an Average precision correlation score of 0.85 compared to 0.8." @default.
- W4287812060 created "2022-07-26" @default.
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- W4287812060 date "2020-04-25" @default.
- W4287812060 modified "2023-09-25" @default.
- W4287812060 title "Neural Network-Based Collaborative Filtering for Question Sequencing" @default.
- W4287812060 doi "https://doi.org/10.48550/arxiv.2004.12212" @default.
- W4287812060 hasPublicationYear "2020" @default.
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