Answers are grounded in this paper and cite their sources.
In the past few years, as artificial intelligence (AI) and large language models (LLM) have rapidly entered our lives, we have witnessed groundbreaking innovations across numerous fields. The rapid pace of these changes has been met with excitement by some and apprehension by others. However, we all agree that they have made tremendous contributions so far and their contributions in the future will reshape our existence. The field of educational assessment is no exception. With this in mind, we issued a call for a special issue themed “Opportunities and Challenges of AI in Educational Assessment.” which finally included seven distinguished articles on subthemes of fair and responsible use of AI in educational assessment, learning analytics, automated scoring, and real-life examples of AI and LLM.
No takes yet. Share an insight, caveat, or question.
Şahin et al. (2024) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: