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

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Oliveiar, L (Author) Other; Figueira, A (Author) FCUP

Conference proceedings International

Title: 2017 IEEE Global Engineering Education Conference, EDUCON 2017, Athens, Greece, April 25-28, 2017

Pages: 1290-1298

Indexing

ISI Web of Knowledge - 3 Citations

Scopus - 5 Citations

Other information

Authenticus ID: P-00M-V9B

DOI: 10.1109/educon.2017.7943014

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9