English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

In general, Intelligent Tutoring Systems (ITS) fail to take account of the emotional and cognitive states of the students who use them. This paper explores the relationship between emotion and cognition when students learn via the medium of video lectures. A cognitive emotional model was constructed to determine the student’s cognitive and emotional state while watching an instructional video. This model was a Bayesian belief network (BBN) model. With the method of ten times 10-fold cross-validation, evaluation results showed that the Bayesian network classifies the emotion state with 60% accuracy and classifies both the emotion and cognitive state with 48.82% accuracy. This model provides an emotional and cognitive states recognition solution for video lecture learners in a non-intrusive way with low cost.

Classification of video lecture learners’ cognitive and negative emotional states using a Bayesian belief network