The Role of Mobile Computing in Adaptive Testing for English Language Learners: Personalizing Assessment to Improve Outcomes

Mobile computing has revolutionized educational assessment, particularly for English Language Learners (ELLs), by enabling personalized, adaptive testing. Traditional standardized assessments often fail to accommodate the diverse linguistic competencies of ELLs, leading to inaccurate evaluations of their knowledge and skills. The integration of artificial intelligence and mobile computing has given rise to adaptive testing, which dynamically adjusts the difficulty level of test items in real-time, based on a student’s responses. This approach enhances assessment accuracy, fosters engagement, and provides educators with actionable insights through real-time data analytics. Moreover, mobile computing facilitates accessibility, ensuring that students can participate in assessments from any location, using devices such as smartphones and tablets. However, challenges such as the digital divide, data privacy concerns, and the need for teacher training pose obstacles to the widespread implementation of mobile-based adaptive testing. This research paper provides an in-depth exploration of the role of mobile computing in adaptive testing for ELLs, analysing its benefits, limitations, and future directions. Extensive research, case studies, and data-driven insights illustrate how mobile computing can transform assessments, making them more inclusive, equitable, and effective. Infographics and tables are included to provide a comprehensive visual representation of key findings and trends in adaptive testing. Inculcation of qualitative methodology enhances the authenticity of this research, and the results prove that the research withstands the needs of the evolving era.