The Evaluation Research Of Junior High School Mathematics Deep Learning Base On The SOLO Taxonomy

Deep learning is an activity that learners active learning new knowledge on the basis of understanding,and use a variety of strategies to critically understand,transfer and apply knowledge,connect and reflect on old and new knowledge,ultimately able to make decisions and solve complex problems.Mathematics deep learning is a kind of deep learning with disciplinary characteristics.It can incorporate deep learning into specific disciplines,so that deep learning can be effectively realized.How to determine whether students are achieving deep learning? Appropriate measures for learning evaluation are needed.The SOLO taxonomy,which is characterized by hierarchical descriptions,it is well suited to distinguish between deep learning and shallow learning.The study takes the SOLO taxonomy as the evaluation framework,and takes the junior middle school function as the evaluation content,and constructs the deep learning evaluation standard.The evaluation standard repeatedly asked experts and teachers for suggestion in the form of questionnaires until the expert teachers' opinions tend to be consistent.Then the author selects three experienced mathematics teachers to try out the evaluation standard,and uses the evaluations standard to evaluate the four sample students.Finally,the three teachers have the same evaluation results on the deep learning of the sample students,which further ensure objectivity and rationality of the evaluation standard.After the evaluation standard are determined,the author uses the evaluation standard for the students in grade two of a school,and obtains the students' deep results:(1)More than 50% of the students are in deep learning for function.(2)Students with higher academic level are more likely to be in deep learning than those with lower academic lever,But it does not mean that students with higher academic level must be at the deep learning,who with lower academic level must be at the surface learning.(3)In the same goal level blank filling and answer question,the proportion of students who show deep learning in the test of answer question is higher than in filling in blank.(4)The number of students of different genders in deep learning is the same,and the proportion of students is not much different.The author is according to the evaluation result,also puts forward the strategy of “goal-process-evaluation” to promote mathematics deep learning :(1)change the learning concept and set up the deep learning goal;(2)construct the deep learning classroom and implement the deep learning goal;(3)multiple learning evaluation to promote the occurrence of deep learning.The research enriches the practical research of deep learning evaluation,not only provides a new way for mathematics teachers to carry out mathematics learning evaluation,and also provides a reference for mathematics subject deep learning evaluation.