Tel Amiel, Antonio J. Moraes Neto, Joao Pita Costa, Anja Poljanar and Mitija Jermol<\/p>\n
ABSTRACT<\/strong> \u00a0<\/p>\n\n\n\n
The amount and heterogeneity of data generated allied to the
rapid progress of scientific research and technological
development have created vast amounts of data, much of it
open data, but significant challenges to gathering, filtering and
making sense of this information. In this paper, we will be
discussing the research outcomes of three complementary
projects monitoring and enhancing Open Education. First, the
initial results obtained from the construction of Open
Education Resources (OERs) Observatory, contributing to
implement 2019 UNESCO OER Recommendation. Improving
upon existing projects developed by some of the coauthors
focused on data observatories, this project identified data
sources, while gathering, enriching and treating data in order
to display meaningful information on a dashboard focused on
OERs using AI-based solutions to advance the Sustainable
Development Goals. The collaboration focused on existing
partnerships within IRCAI, the UNESCO Chair in Distance
Education and the UNESCO Chair on Open Technologies for
Open Educational Resources and Open Learning, mobilizing
researchers to collaborate on key AI research challenges
relating to generating knowledge about OER. Secondly, we will
discuss the recent development of an Educational
Recommender System (ERS) that integrates Conversational
Analysis (CA) to assess and enhance collaborative learning (CL)
in Virtual Learning Environments (VLEs). The system was
designed to identify collaboration among students and provide
tailored recommendations to promote participation and
interaction within discussion forums. Finally, we will discuss
the development and implementation of OERs in alignment
with Sustainable Development Goals (SDGs), addressing topics
of significant social impact over an international online
mentoring initiative.<\/p>\n