Artificial Intelligence and Metaverse in Education
by Santosh Kumar Behera, Mega Novita, Pranay Pandey, Zaffar Ahmad Nadaf, Afsana Jerin Shayery
7Artificial Intelligence in Educational Assessment and Evaluation
Sari Ayu Wulandari1* and Jumanto Jumanto2
1Faculty of Engineering, Universitas Dian Nuswantoro, Semarang, Indonesia
2Faculty of Humanities, Universitas Dian Nuswantoro, Semarang, Indonesia
Abstract
This chapter investigates the integration of artificial intelligence (AI) into educational assessment and evaluation. It begins by outlining the fundamental concepts of AI and its relation to education, emphasizing both the potential benefits and problems of AI in reforming existing evaluation techniques. The theoretical foundations of educational assessment are then examined, including several types of assessments such as formative, summative, and diagnostic, as well as the limitations of traditional techniques. The chapter explores how artificial intelligence may improve learning assessment, from automated test generation to adaptive systems and real-time student performance analysis. The relevance of machine learning in educational data analysis is discussed, with a focus on prediction models that track student development and personalize learning experiences. The potential of artificial intelligence to measure non-cognitive skills, such as social and emotional learning, is also investigated, with tools such as natural language processing for sentiment and feedback analysis. To ensure responsible AI use, ethical issues such as data privacy, prejudice, and student information protection are thoroughly examined. ...
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