Processi autoregolativi e feedback nell’apprendimento online

Abstract

The e-learning training, both within most traditional formal education contexts and in the latest version of MOOCs, is growing. However, the limits are also highlighted: high risk of drop-out, high variability in the quality of education and learning outcomes. The commitment to further qualify e-learning training implies a redefinition of educational and evaluation models and tools that consider aspects of cognitive, metacognitive and motivational nature. Specifically it seems interesting to study the self-regulation processes which many have highlighted as one of the main success factors in the study and which we must consider as particularly critical when the regulation of learning processes is completely or almost at the expense of the subject, as typically happens in e-learning contexts. It is therefore interesting to develop tools and strategies that help students to reflect and become aware of those dimensions that are basis of self-regulating behaviour. In this way also Social Learning Analytics perspective, through the implementation of feedback tools, offers interesting solutions to improve levels of awareness and trust of students in e-learning environments.

Keywords

• feedback
• learning strategies
• online learning
• self-regulation
• social learning analytics.