An Evaluation Study Of Children's Deep Learning Based On SOLO Classification Theory

Depper Learn is an activity whose the porpos is understanding that learners can imcorporate new knowledge to existing konwledge and experiences through the ways,and finally achieve proficient mastery of deep structure knowledge by means of transfer,integration,reflection and criticism.In this study,SOLO classification theory is mainly used as an analytical tool,which is a relatively mature evaluation framework,which can objectively and specifically divide the understanding level of individuals,and then quantify the understanding level,so as to observe the learning situation of individuals more intuitively.Because of this,this theory has been widely used to evaluate learning conditions at different educational stages,but few people have applied this theory to deep learning in early childhood.Therefore,the research of applying SOLO theory to deep learning in early childhood is not only a great innovation,but also conducive to promoting the deep learning level of young children.The analysis content of this paper is as follows: firstly,theoretical analysis;then,based on the SOLO learning result measurement model,a corresponding measurement tool is designed to measure children's deep learning by relying on this tool;corresponding problems are summarized and specific countermeasures are proposed.The results showed that the children's understanding level of structural knowledge and skills was generally low in the construction activities,but the differences among individuals were not obvious.Most learning tasks focus on "knowing",while the depth of learning only stays at the level of "what".Therefore,in view of the above phenomena,the following conclusions are put forward.Appropriate deep learning goals should be set based on children's actual learning conditions to improve their learning ability.Design learning tasks with big concepts as the core to ensure that children learn more,know more and can learn more.