Modeling The Dynamic Note-Taking Behavior of MOOC Video Learners via Representation Learning

Wu, Tianjun

doi:10.1109/csei51395.2021.9477647

2021 IEEE 3rd International Conference on Computer Science and Educational Informatization (CSEI) 2021

DOI: 10.1109/csei51395.2021.9477647

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Modeling The Dynamic Note-Taking Behavior of MOOC Video Learners via Representation Learning

Tianjun Wu

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2022

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English Education Tutoring Teaching System Based on MOOC

Mi¹

2022

Computational Intelligence and Neuroscience

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In the process of continuous reform and development of education and teaching, some traditional teaching modes are gradually eliminated, whereas new teaching modes are gradually recognized by teachers and students. These modes are widely used in education and teaching due to their overwhelming characteristics. Among these emerging teaching modes, massive open online course (MOOC) is a relatively advanced teaching mode with a better application effect. Quickly and accurately detecting the cheating behavior of MOOC learners is of great significance for maintaining the development of the MOOC platform and English education counseling. This paper studies a deep-learning-based hybrid model for MOOC cheating detection. The model greatly improves the detection performance of a single model by integrating CNN, a bidirectional gated recurrent unit, and an attention mechanism. The proposed model selects the English learning behavior data of a MOOC platform to verify the performance of the algorithm. Simulation results show that the proposed scheme can greatly help MOOC-based English education tutoring.

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English Education Tutoring Teaching System Based on MOOC

Mi¹

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

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Modeling The Dynamic Note-Taking Behavior of MOOC Video Learners via Representation Learning

Cited by 1 publication

References 12 publications

English Education Tutoring Teaching System Based on MOOC

English Education Tutoring Teaching System Based on MOOC

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