Interaction design and development strategies contain the proficiency to mimic user attention and engagement. These strategies are proven to be beneficial for learning attention while employing various types of digital learning platforms. However, special education need (SEN) learners possess special needs due to their neurodevelopmental disorder and deficiency of proper brain functioning and therefore giving rise to malfunctioning of inhibitory control, sustained attention, and working memory. Hence, there is a need to develop user-centric interaction design and development strategies and implications to increase the attention span of ADHD (attention deficit hyperactivity disrorder) while learning. In this literature review, we aim to highlight the attention problem of ADHD due to malfunctioning of executive functioning and working memory.  We have summarized the existing IxD (interaction design)based solutions for ADHD learning attention. The related limitations, challenges and findings of the literature review are presented along with the future possibilities. This paper highlights the need to develop user-centric solutions for ADHD attention improvement during learning and the incorporation of the machine learning and artificial intellegnce based interfaces for the advance user-centric solutions.