From Assessment to Empowerment: The Role of AI in Special Education Progress Monitoring

Abstract

Progress monitoring is a key feature of effective special education, allowing educators to have access about whether or not students are making progress and continuous feedback regarding the adequacy of specific interventions towards the goal of achieving appropriate learning outcomes. But traditional methods are often limited in resources, subjective and inefficient. AI provides unprecedented solutions to these challenges, fundamentally changing the means by which we can track progress and design interventions in special education. If implemented well, AI can make the key aspect of progress monitoring more useful and empowering for educators, learners, and families. Artificial Intelligence fully visions the future of data intelligence platform as it transformed by paces and bounds via machine learning, natural language processing, and predictive analytics through automatic realtime collection of data near customizing insights and removing the manual report generation process with ease. Furthermore, AI tools allow for improved student performance evaluation as trends and impediments to productivity are discerned sooner than traditional assessment resources. This research suggests possible implementations of AI in special education which are positive however starts to enlighten the ethical questions as well as challenges with using such technology. This work recognizes the potential of AI to improve access, inclusion and achievement for students with a range of needs from assessment to empowerment through factbased interpretation along with actionable insights.