Transforming Educational Assessment with Artificial Intelligence:Opportunities, Challenges, and Implications for Nigerian Education
DOI:
https://doi.org/10.66545/hfxhk895Keywords:
Artificial intelligence, Educational assessment, personalized learning, student learning outcomes, educational technologyAbstract
This paper explores the integration of artificial intelligence in educational evaluation, aiming to enhance student's outcomes and teaching practices. AI's capabilities in personalised learning, automated assessment and real-time feedback, offer opportunities to address traditional evaluation methods' limitations. Using a conceptual approach, this article examines AI's benefits and challenges in educational assessment, highlighting its potential to revolutionise teaching and learning practices. Key findings suggests, AI can improve students learning outcomes by providing tailored learning experiences, identifying knowledge gap and facilitating data-driven decision- making. However concerns related to data privacy, algorithmic bias, and equitable access must be addressed. The article discusses AI's role in enhancing assessment accuracy, efficiency and effectiveness, while ensuring fairness and transparency. Recommendations include careful considerations of AI's benefits and challenges, ongoing research and development, and informed decision making by educators, policy makers, and researchers to support students' learning and success. Ultimately, AI has the potential to transform education, but its integration requires thoughtful planning, collaboration and commitment to equity and excellence. By examining AI'S potential in educational assessment, this article contributes to the discussion on the future of education and AI's roles in shaping teaching and learning practices.
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Data Availability Statement
Data sharing is not applicable to this article as no datasets were generated or analysed during the current study. This is a conceptual paper.
