Towards the Implementation of the Learning Analytics in the Social Learning Environments for the Technology-Enhanced Assessment in Computer Engineering Education


In this work we present a formal description of a learning environment framework that gives support to learning analytics. The framework is based on techniques that educational data mining and social network analysis provide. The purpose is to study or discover collaborative relationships that students generate during their learning process and make predictions or assessments about student learning. We also present a new model in the way the learning process is evaluated. This model is more personal and contributes to new possibilities that the digital technologies offer in technology-enhanced assessment.

International Journal of Engineering Education