The use of artificial intelligence in lesson delivery and evaluation in large-scale teaching environments

Abstract

Artificial intelligence has been increasingly utilised in lesson delivery and assessment, revolutionising the way students learn. It has the potential to be employed in the administration, evaluation, and grading of exams and coursework, as well as overseeing remote assessments. However, these applications are currently in the initial phases of development, and educators are hesitant to fully rely on AI for significant assessments. Therefore, this study aims to explore the effectiveness of artificial intelligence in enhancing educational outcomes and improving the overall assessment experience for students. This study is grounded in the principles of cognitive psychology and educational technology, emphasising the importance of personalised learning and adaptive assessment strategies. By leveraging artificial intelligence algorithms, educators can tailor instruction to meet the individual needs of students, promoting a more engaging and effective learning environment. The materials and methods employed in this study include a systematic literature review of academic articles, research papers, and case studies related to the use of artificial intelligence in education. The results of this study revealed that artificial intelligence has the potential to significantly enhance the quality of education by providing personalised learning experiences, automating administrative tasks, and facilitating real-time feedback for students. It is therefore recommended that educators, policymakers, and researchers collaborate in developing ethical guidelines, implementing professional development programmes, and fostering a culture of innovation in education. Embracing artificial intelligence as a tool for enhancing teaching and learning can help stakeholders harness its full potential to create a more inclusive, engaging, and effective educational system.