Analytics of student behaviour in a learning management system as a predictor of learning success

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2017

Autores

Bertil P. Marques (Autor) Outra; Jaime E. Villate (Autor) FEUP; Carlos Vaz Carvalho (Autor) Outra

Ata de Conferência Internacional

Título: 2017 12TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI)

Páginas: 1-6

12th Iberian Conference on Information Systems and Technologies (CISTI)

Lisbon, PORTUGAL, JUN 21-24, 2017

Indexação

ISI Web of Knowledge - 0 Citações

ISI Web of Science

Scopus - 4 Citações

INSPEC

Outras Informações

ID Authenticus: P-00Q-RWD

DOI: 10.23919/CISTI.2017.7975863

Abstract (EN): Higher Education (HE) teachers are aware that the evolution of technology changed the way students build their knowledge. New forms of access to information and new means of communication allowed creating specialized learning tools. It is now important to understand how the students’ interaction with learning technologies influences their learning success. For that purpose, data referring to the use of a learning management system (LMS) supporting a specific course was collected and analyzed. Results indicate that a minor correlation exists between the effective use of those tools and student success.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6