LAIKA
Learning Analytics for Innovation and Knowledge Application
Date of inception 07 May 2014
Leader: Julià Minguillón Alfonso
Center: Futures of Education in the Digital Age Research Centre (UOC-FuturEd)
Website: https://blogs.uoc.edu/laika/
Learning Analytics for Innovation and Knowledge Application in Higher Education (LAIKA) is an interdisciplinary research group that addresses complex problems in teaching and learning contexts, primarily in higher education. LAIKA carries out interdisciplinary research based on indicators that combine research from two different areas: the conception of underlying learning or the educational context (learning) and the use of new computational, statistical and visualization analysis methods (analytics) to understand it. Specifically, the group's activity is organized around three main research lines: Line 1: Student monitoring, assessment and feedback. Line 2: Development of a predictive model for analysing student drop-out in higher education. Line 3: Analysis of open education practices (MOOC, repositories, social media).
Researchers
Classifications
- Ministry Area: LLENGUATGES I SISTEMES INFORMÀTICS, MÈTODES D'INVESTIGACIÓ I DIAGNÒSTIC EN EDUCACIÓ, DIDÀCTICA DE LA MATEMÀTICA
- Group Recognition: Grup de recerca consolidat per la Generalitat de Catalunya
- Application Area: Social sciences
beta
Prevailing specialties (top 10)
Obtained from publications help
Obtained from publications
The displayed thematic specialties have been obtained through the application of artificial intelligence models, derived as a result of the Hercules Project from those publications with an abstract, provided that the record does not come from commercial databases, which impose restrictions on data usage.
The displayed thematic specialties have been obtained through the application of artificial intelligence models, derived as a result of the Hercules Project from those publications with an abstract, provided that the record does not come from commercial databases, which impose restrictions on data usage.
- Education (Social Sciences) Filter
- Library and Information Sciences (Social Sciences) Filter
- Communication (Social Sciences) Filter
- Information Systems (Computer Science) Filter
- Physics Education (Physics and Astronomy) Filter
- Computers and Society (Computer Science) Filter
- Computer Graphics and Computer-Aided Design (Computer Science) Filter
- Cultural Studies (Social Sciences) Filter
- General Computer Science (Computer Science) Filter
- Human-Computer Interaction (Computer Science) Filter
Former members (9)
- Acosta Baques, Alexia 20202021
- Catone, Maria Carmela 20232023
- Cobo Rodríguez, Germán 20172025
- Da Rocha Fort, Irene 20162017
- Domènech Coll, Montserrat 20212021
- Duart Montoliu, Josep M. 20142015
- Ferran Ferrer, Núria 20142017
- Krull, Greig Emil 20172018
- Mestres Mercader, Laura 20212022