BE-SPECIAL: Supporting Platform for students with dyslExia based on artifiCial Intelligence Adaptive Learning

The second intellectual output consists in the development and validation of a digital solution based on artificial intelligence able to suggest the most appropriate supporting methodologies for dyslexic students based on the student-specific issues.

NEED ANALYSIS

The implementation of beSPECIAL will require a deep knowledge of the actual methodologies used in the universities for supporting students with dyslexia during teaching and studying in order to evaluate how BESPECIAL can enhance the inclusion of dyslexic students. In addition, a further analysis is the one for understanding different approach used based on different cultures and different level of pathology severity. This preliminary analysis represents fundamental aspects of O2.

TARGET GROUP

The main potential beneficiaries of BESPECIAL are obviously the students that will have available an innovative e-learning tool for studying and finding less difficulties in approaching the university. Besides teaching staff will benefit since they will have a useful supportive tool for a teaching a standardized methodology that foster to raise up students’ potentiality. Ad hoc training program designed in ToT and testes in C1 will allow supporting the recommendation to raise academic staff’s awareness of dyslexic students’ needs. In addition, the offices addressed to the inclusion of dyslexic students will have a further tool to eliminate the differences among students.

ELEMENTS OF INNOVATIONS

Actually, several efforts have been already made to help students with dyslexia offering adaptive e-learning methods. However, these efforts are totally addressed to children of primary school; no online tool based on AI have been proposed in the university nevertheless it is recognized as the inclusion of students with dyslexia in higher education is an important issue to solve. Thus, the two main innovative factors are: the intrinsic innovation of a e-learning platform for dyslexic student and the use of artificial intelligence as the core of the BESPECIAL architecture, as first example of this technology application for dyslexics. The usage of AI will enable to provide an adaptive interface that will support students during universities and with an age substantially greater than the one considered until now in similar studies . In addition, tools for education are often the same for all students without considering the different and individual typologies of learning disabilities, i.e. phonological, surface and rapid automatic naming dyslexia. Conversely, our proposal allows offering customized learning methodology taking advantages from the intrinsic concept of AI.

EXPECTED IMPACT

As reported in literature, students with dyslexia often experience problems with information processing, writing and note-taking when attending a university course. A lack of confidence leads to a decrement of their performance. The implementation and dissemination of BESPECIAL platform can be effective in creating more equal opportunities for dyslexic students to participate in HE. In fact, such tool will guarantee a better lessons accessibility and a more appropriate management of the information and notes during classes. In addition, it is plausible that students will positively evaluate teaching approached that go beyond traditional formats since they can access study materials in multiple formats based on their needs. BESPECIAL could also permit to encourage and motivate students by specific tests implemented in 01. As a final impact, we strongly believe that the use of BESPECIAL allows enhancing the social and cultural inclusion of dyslexic student with a change in perception  and strengthen their motivation with a positive impact on their academic and job career.

TRANSFERABILITY POTENTIAL

BESPECIAL is characterized by scalability and transferability that will permit to spread such approach to national and international universities with specific modifications due to different languages. The implemented algorithms for AI will be written to permit the adaptation to different languages and different teaching areas. In addition, it can be useful to underline that the BESPECIAL will be created for students with dyslexia; however it can be easily scaled, in further studies, to be used by students with dyscalculia and dysgraphia. Finally, such methodological approach to solve problems that students with dyslexia encounter during university can be transferred to training and working environment.