Study on the Application of Learner’s Output-oriented Feynman-Five-Energy Method in Computer Teaching

Feynman’s learning skills combine the advantages of active learning and deep learning, and effectively solve the core problems of weak active learning awareness and insufficient classroom interaction among online teaching students in the traditional teaching mode, especially during the epidemic period. Starting from the problems existing in computer teaching and combining with the connotation of Feynman learning skills, the paper designs the “Feynman-five-energy method” teaching mode based on student output, that is, students can “learn” knowledge, can retell knowledge, correct errors and feedback, teach knowledge, and test the effect of the school. Use “learning” to master the basic knowledge, and improve the autonomy of mastering basic knowledge; use “description” to simulate to teach others to test knowledge mastery; use “feedback” to realize error correction feedback and discover knowledge blind spots; use “teaching” to cultivate students’ abilities of refinement, simplification, analogy and perfection and finally achieve the goal of “deep learning”; use “evaluation” to test the learning effect, promote students’ self-learning and improvement, let students be masters of learning, and integrate knowledge transfer with self-study ability and innovation ability cultivation and give full play to the main role of students. Teaching practice shows that the “Feynman-Five Energy” learning skills significantly improve the students’ learning enthusiasm and learning efficiency. At the same time, imperceptibly into the ideological and political education.