COMET■:“cone of experience”enhanced large multimodal model for mathematical problem generation  

作　　者：Sannyuya LIU Jintian FENG Zongkai YANG Yawei LUO Qian WAN Xiaoxuan SHEN Jianwen SUN 

机构地区：[1]National Engineering Research Center of Educational Big Data,Central China Normal University,Wuhan 430079,China [2]Faculty of Artificial Intelligence in Education,Central China Normal University,Wuhan 430079,China [3]School of Software Technology,Zhejiang University,Hangzhou 310027,China

出　　处：《Science China(Information Sciences)》2024年第12期93-94,共2页中国科学(信息科学)(英文版)

基　　金：supported by National Science and Technology Major Project(Grant No.2022ZD0117103);National Natural Science Foundation of China(Grant Nos.62437002,62307015,62293554);China Postdoctoral Science Foundation(Grant Nos.2023M741304,2023T160256);Hubei Provincial Natural Science Foundation of China(Grant Nos.2023AFA020,2023AFB295);Fundamental Research Funds for the Central Universities(Grant No.CCNU24AI016)。

摘　　要：The impact of generative artificial intelligence on education is unprecedented[1].Researchers have been exploring possibilities of combining the large multimodal model(LMM)with the teaching process.Specifically,Luo and Yang[2]have explored large model collaborative domain models to support smart education,fostering personalized and adaptive educational experiences.However,existing studies still lack in-depth research on generating educational resources,especially in mathematical problem generation.

关 键 词：COMET cone of experience enhanced large multimodal model for mathematical problem generation 

分 类 号：O17[理学—数学]