Deep Learning Approach for Detection of Learning Disabilities in Higher Education

The rapid advancement of deep learning techniques has led to their widespread application in various domains, including the field of education. The primary focus of the study is a comprehensive exploration of employing deep learning models to detect learning disabilities in higher education. Learning disabilities, which impact approximately 10% of the global population, pose significant challenges to students’ academic performance and overall well-being. The research paper delves into the specifics of deep learning, highlighting key architectures such as convolutional neural networks (CNNs) and transformer models, emphasizing their suitability for analyzing educational data. The study’s intent is to enhance the understanding of the potential benefits of integrating deep learning in identifying and supporting learning disabilities within higher education.