Research Summary

Research profiles: Google Scholar - ResearchGate - ORCID - ResearcherID - Publons - Scopus - dblp

Most of my research lies within the area of learning analytics and educational data mining, where I often recopilate contextualized data from virtual learning environments and analyze it in order to provide feedback about how to improve learning and the environment where it occurs.

During my PhD, my research focused on three areas: 1) the implementation of algorithms for behavioral modeling, such as to detect cheating, off-task behaviors or gamification interest 2) the development of visual analytics dashboards for MOOC environments 3) applied machine learning for the prediction of learning outcomes.

Currently, my work is being focused on 1) conducting large-scale MOOC analytics finding global and sub-population trends in vast amounts of data 2) applying learning analytics in learning games for behavioral modeling and stealth assessment 3) measuring the effect of erratic fake learning behaviors in learning analytics results.

Interests

  • Learning Analytics
  • Educational Data Mining
  • User Behavioral Modeling
  • Game-based Learning
  • Technology-enhanced Learning
  • Massive Open Online Courses