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Keywords: Deep LSTM
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Journal Articles
Course complexity in engineering education using E-learner's affective-state prediction
Available to Purchase
Journal:
Kybernetes
Kybernetes (2023) 52 (9): 3197–3222.
Published: 11 March 2022
... algorithm-based deep long short-term memory (RiderSSA-based deep LSTM) is devised for affective-state prediction. The deep LSTM training is done by the proposed RiderSSA. Here, RiderSSA-based deep LSTM effectively predicts the affective states like confusion, engagement, frustration, anger, happiness...
