Learning Data Analysis and Action Research: Opportunities for the Online Language Teacher’s Self-training

In the linguistic education field, the growing interest in online language teaching and learning leads to new opportunities for teacher training, within the infosfera (Floridi 2014). This intervention focuses on a “self-training” model. This proposal, situated within a connectivist perspective, applies data science to online didactic interactions (Puglisi 2021) and considers action research (Carr and Kemmis 1986) as a tool for investigating remote educational contexts. Therefore, the intention is to contribute to the investigations of the relationship between linguistic education and technologies, suggesting possible applications of innovative models for the continuous teachers’ self-training.