Interazioni e-tutor-studenti e successo formativo: un’analisi dei dati nel contesto dell’educazione superiore online
Academic Article
Publication Date:
2020
abstract:
The article presents a quantitative data analysis in the setting of online
university teaching. The research assumed a positive correlation between the
intensity of the interaction among e-tutor and students correlated with the final
evaluation. The analysis involved 248 students and considered 2845
interactions. The data showed a weakly negative correlation, thus falsifying the
starting hypothesis. This preliminary work highlighted some points of attention
already known in the reference literature with respect to the predictive
capabilities of data analysis for the research on learning activities: 1) quality and
integration of the data analyzed; 2) attribution of a pedagogical sense to the
results of the analysis.
university teaching. The research assumed a positive correlation between the
intensity of the interaction among e-tutor and students correlated with the final
evaluation. The analysis involved 248 students and considered 2845
interactions. The data showed a weakly negative correlation, thus falsifying the
starting hypothesis. This preliminary work highlighted some points of attention
already known in the reference literature with respect to the predictive
capabilities of data analysis for the research on learning activities: 1) quality and
integration of the data analyzed; 2) attribution of a pedagogical sense to the
results of the analysis.
Iris type:
1.1 Articolo in rivista
Keywords:
learning analytics, e-learning, e-tutoring, learning outcomes, evaluation
List of contributors:
Raviolo, P.
Published in: