Automatic question generation in education: challenges and opportunities
Journal: Region - Educational Research and Reviews DOI: 10.32629/rerr.v6i9.2925
Abstract
Automatic question generation (AQG), as one of the important applications of artificial intelligence generated content (AIGC), can automatically generate diversified teaching questions to meet students' individualized learning needs, reduce teachers' burden of lesson preparation, and improve teaching efficiency, which has gradually shown a broad application prospect in the field of education. However, this technology still faces challenges in practical application, such as technical adaptability, question quality evaluation, application promotion, and ethical and legal issues. In the future, with the continuous iteration of technology and cross-domain integration, question generation technology is expected to further promote the change of teaching mode and the intelligent, personalized and fair development of education.
Keywords
automatic question generation; AI-generated content; pre-trained models; personalized learning
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