A Proposed Machine Learning Based Approach to Support Students with Learning Difficulties in The Post-Pandemic Norm

Abstract

Over the years, there have been many factors that have had an influence on the landscape of higher education in the UK. These factors include the rise of tuition fees, the introduction of the teaching excellence framework and the formation of office for students. A key performance indicator that has an impact on these factors is student experience, which is influenced by positive or negative feedback and engagement. Although this forms a key part of the learning environment, it is still perceived as one of the weakest aspects when it comes to enhancing the student experience especially for the students with learning difficulties. During the recent pandemic, significant levels of changes have been introduced to the teaching and learning approaches. Machine learning approaches are proven useful for providing flexible solutions for various problems in different fields. With the focus on the students with learning difficulties; this paper proposed a machine learning based approach to support such students and analyse the complexities of their learning difficulties to make sure they benefit from the new approaches in the post-pandemic era. The proposed approach has been tested initially for dyslexia, where the main complexities such as recognition of words, fluency in reading and writing are analysed. This research will lead to the novel introduction of intelligent approach to revolutionize the learning ability and overcome any learning difficulties at different learning and teaching levels.