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 Plus annual

Presents the access of premium content as premium feature

Premium Content

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 annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The work discusses the method of recognizing the state of a learner using artificial neural networks based on the analysis of electroencephalogram signals during the assimilation of educational material using a hardware software complex of a robot – an assistant teacher of anthropomorphic type.

On Making a Decision to Correct the Learner Behavior Based on the Signals of their Electroencephalograms When Organizing Interaction with an Anthropomorphic Teacher-Assistant Robot