Research of Teachers'Deep Learning Assessment and Support Measures in Online Training
Online training is an important way to promote the professional development of teachers in the"Internet+"era.As deep learning for teachers has become a hot topic in the field of teacher learning research,how to effectively evaluate teachers'deep learning in online training has become an urgent problem to be solved.Based on Biggs'general learning process model,Bloom's cognitive goals,Simpson's motor skills goals and Crasswall's affective goals classification system,this paper constructs a theoretical model of teacher deep learning evaluation,and extracts understanding transfer,system construction,problem solving,reflection and critique,and value identification are five core competencies of deep learning.Based on the evaluation model,a"Teacher Deep Learning Evaluation Scale"was compiled,and 917 teachers'were evaluated from three aspects:teachers'prior knowledge,leaning process and learning results.The research found that:(1)The depth of teachers'learning process and the depth of learning results in online training are inconsistent;(2)Teachers with different teaching ages and prior knowledge have significant group differences;(3)Achievement motivation and meta-recognition Knowledge strategy is a key factor affecting teachers'deep learning;(4)The development of the five core competencies of teachers'deep learning is not balanced.Specifically,teachers need to strengthen their connection and innovative problem-solving skills,and improve their critical thinking skills.Teachers have insufficient recognition of the value of online training,and the degree of matching between training content and learning needs needs to be improved.In view of this,strategies and suggestions for promoting teachers'deep learning are put forward.
online trainingteacher learningdeep learningdeep learning evaluationevaluation model
NETL
NSTL
万方数据
