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A Cognitive-Driven BCI-Based E-Learning Platform for Learning Disorders: A Preliminary Study

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Project and Design Literacy as Cornerstones of Smart Education

Abstract

E-learning represents a consolidated practice in education, as a support to traditional classroom-based lessons, in distance, blended and continuous education and, in more recent times, increasing enough as a mean for self-assessment and self-training to maximize learning results. Despite this overall interest, however, little attention has been devoted to adopting advanced technology-based e-learning approaches in developing specific platforms to support students experiencing learning disorders (LDs) difficulties. Among all, cognitive technologies could be integrated into advanced training platforms to empower students’ abilities, especially in case of LDs. Indeed, several studies focus on LDs, especially analyzing: correlations among them, theories about their intern relationships and certain biological models on their basis. Also, computer-aided supports have been studied as a booster in learning process, to compensate individuals’ difficulties. Despite this, few studies focus on the use of cognitive technology to trace a possible integration of these latter with pedagogical approaches to enhance learning processes. The present article focuses on experimenting a prototype of a web-based e-learning environment, preliminarily focused on helping students with dyslexia, considering some results obtained with priming and BCI from our previous researches. The preliminary results are reliable enough to allow future developments, studying deeper the potentiality of learning empowerment through cognitive technologies integrated into e-learning environments.

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Correspondence to Raffaella Folgieri .

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Folgieri, R., De Vecchi Galbiati, P., Dei Cas, L., Lucchiari, C. (2020). A Cognitive-Driven BCI-Based E-Learning Platform for Learning Disorders: A Preliminary Study. In: Rehm, M., Saldien, J., Manca, S. (eds) Project and Design Literacy as Cornerstones of Smart Education. Smart Innovation, Systems and Technologies, vol 158. Springer, Singapore. https://doi.org/10.1007/978-981-13-9652-6_21

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