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

This work aims to propose a method to support students in finding appropriatepeers in collaborative and blended learning settings. The main goal of thisresearch is to bridge the gap between pedagogical theory and data drivenpractice to provide personalized and adaptive guidance to students who engagein computer supported learning activities. The research hypothesis is that wecan use Learning Analytics to model students' cognitive state and to assesswhether the student is in the Zone of Proximal Development. Based on thisassessment, we can plan how to provide scaffolding based on the principles ofContingent Tutoring and how to form study groups based on the principles of theZone of Proximal Development.

Using learning analytics to provide personalized recommendations for finding peers