STEAM University Learning Research Group

Date of inception 07 May 2014

Leader: Teresa Sancho Vinuesa

Unit: Education and eLearning

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 thematic specialties shown were obtained through the application of artificial intelligence models, obtained as a result of the Hercules Project.

The list may contain errors. Under evaluation and improvement. Shared to gather community suggestions.

  1. Education (Social Sciences) Filter
  2. Computers and Society (Computer Science) Filter
  3. Information Systems (Computer Science) Filter
  4. Library and Information Sciences (Social Sciences) Filter
  5. Physics Education (Physics and Astronomy) Filter
  6. Communication (Social Sciences) Filter
  7. Human-Computer Interaction (Computer Science) Filter
  8. General Computer Science (Computer Science) Filter
  9. Applied Mathematics (Mathematics) Filter
  10. Artificial Intelligence (Computer Science) Filter

Former members (8)