Artificial Intelligence Generated Content Enables Innovation of College Examination and Enrollment Model:Value Logic,Realization Path and Potential Risks
Artificial Intelligence Generated Content(AIGC)provides technical support for the innovation college examination and en-rollment model in the digital era,empowering colleges to reshape admission goals,upgrade enrollment methods,renew admission content and implement enrollment justice,and promote the improvement of the scientific and professional nature of college enrollment.Meanwhile,AIGC's high-end intelligent functions such as open source,multi-modal models,content creation and generation algorithms can promote the transformation of the admission concept into a mutual choice between universities and students,make admission evaluation method move towards the integration,using of multiple tools,shift the admission evaluation content into comprehensive and dimensional examinations,and let admission publicity guidance move toward precise adaptation.However,excessive using of AIGC into admission evaluation by colle-ges will also create risks,including admission bias due to subject alienation,single evaluation tool based on efficiency logic,generalization of evaluation content made by technology dependence,and educational data leakage because of data sharing,etc.Given that,system con-struction should be strengthened;the research and development of admissions evaluation technology should be promoted;and the intellectual literacy of admissions staff should be improved to eliminate potential risks that may arise from the excessive using of AIGC.
万方数据
维普
