Investigating the Potential of Integrating Generative AI Tools into Teacher Training and Professional Development Programs

Abstract

The field of education is being transformed by artificial intelligence (AI). In order to enhance teaching and learning experiences, educators and professionals in educational evaluation need to stay updated with the rapid advancements in AI technology. AI-driven educational assessment systems offer multiple benefits, including enhanced test efficiency and precision, personalised feedback for students, and the ability for teachers to adapt their lesson plans to meet individual student needs. Consequently, AI possesses the capability to fundamentally alter the delivery and assessment of education, ultimately enhancing student learning outcomes. This essay explores the diverse applications of artificial intelligence (AI) methods in the assessment and quantification of educational outcomes. It addresses, in particular, the use of big language AI models in classroom assessment, particularly in test purpose determination. The report concludes by outlining solutions to these problems and boosting AI's efficiency in educational assessment. In conclusion, there are advantages and disadvantages of utilizing AI in educational assessment. As a result, stakeholders, legislators, and educators must collaborate to create plans that balance the dangers involved with maximizing the advantages of AI in educational evaluation. In the end, integrating AI into assessment in education has the potential to revolutionize the field, enhance student learning, and provide pupils with the tools they need to thrive in the twenty-first century.