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Visualization of sentiment spread on social networked content: Learning analytics for integrated learning environments

Oliveiar, L , Figueira, A , Luciana Gomes Oliveira , Álvaro Figueira

ISLA — Instituto Politécnico de Gestão e Tecnologia

2017

DOI: 10.1109/educon.2017.7943014 Handle: http://repositorio.inesctec.pt/handle/123456789/5823

Social Media has been disrupting traditional technology mediated learning, providing students and educators with unsupervised and informal tools and spaces where authentic learning occurs. Still, the traditional LMS persists as the core element in this context, while lacking additional management, monitoring and analysis tools to handle informal learning and content. In this paper, we present an integrated methodology that combines social network analytics, sentiment analysis and topic categorization to perform social content visualizations and analysis aimed at integrated learning environments. Results provide insights on networked content dimension, type of structure, degree of popularity and degree of controversy, as well as on their educational and functional potential in the field of learning analytics.

Keywords

#social network analysis #sentiment analysis #topic classification #social media in education #informal learning #virtual learning environments #integrated learning environment #content visualization #controversy #Learning Analytics #Computer science #Categorization #Popularity #Data Science #Social media analytics #Context (archaeology) #Social media #Analytics #Visualization #Field (mathematics)

Bibliographic Details

Publication Type Conference paper

Publication Year 2017

ISLA Authors & Affiliations

Visualization of sentiment spread on social networked content: Learning analytics for integrated learning environments

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Keywords

Bibliographic Details

ISLA Authors & Affiliations