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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

With the advancement and utility of Artificial Intelligence (AI),personalising education to a global population could be a cornerstone of neweducational systems in the future. This work presents the PEEKC dataset and theTrueLearn Python library, which contains a dataset and a series of onlinelearner state models that are essential to facilitate research on learnerengagement modelling.TrueLearn family of models was designed following the"open learner" concept, using humanly-intuitive user representations. Thisfamily of scalable, online models also help end-users visualise the learnermodels, which may in the future facilitate user interaction with theirmodels/recommenders. The extensive documentation and coding examples make thelibrary highly accessible to both machine learning developers and educationaldata mining and learning analytics practitioners. The experiments show theutility of both the dataset and the library with predictive performancesignificantly exceeding comparative baseline models. The dataset contains alarge amount of AI-related educational videos, which are of interest forbuilding and validating AI-specific educational recommenders.

A Toolbox for Modelling Engagement with Educational Videos