Detecting the Confusion of Students in Massive Open Online Courses Using EEG
نویسندگان
چکیده
Confusion among students hinders learning and contributes to demotivation disinterest in the course materials. However, it takes a lot of time resources identify confused pupils extensive courses. Using LSTM Attention, we suggest deep model for monitoring students' confusion by EEG signals from when they watching MOOC videos. The obtained an accuracy 0.82 on data, exceeding previous experimental results this dataset. Experiments show that attention mechanism picks up significance various features prediction results. It can effectively solve overfitting problem improve classification effect.
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ژورنال
عنوان ژورنال: International journal of education and humanities
سال: 2022
ISSN: ['2770-6702']
DOI: https://doi.org/10.54097/ijeh.v4i2.1509