Research Article

Research on the Effectiveness of Probabilistic Stochastic Convolution Neural Network Algorithm in Physical Education Teaching Evaluation

Table 1

Physical education student evaluation index system.

Level indicatorsNo.The secondary indicators

Teaching attitudeX1(1) Abide by laws and regulations, without being late, leaving early, missing classes, or adjusting classes frequently
X2(2) Love students, willing to communicate with students and care about the growth of students
X3(3) Rigorous academic research, careful lesson preparation and homework correction, and serious and responsible in answering questions and solving doubts, and fully prepared teaching AIDS (courseware)

Teaching contentX4(1) The teaching purpose is clear, the focus is prominent, and the difficulty is appropriate and good at teaching in accordance with their aptitude
X5(2) The language is accurate, concise, prominent, and skilled use of modern teaching methods to assist teaching, and the effect is obvious
X6(3) Good at combining theory with practice, pay attention to the development of students’ intelligence, and encourage innovation

Teaching methodX7(1) The professional theoretical level is high, the practical skills are strong, and the updated knowledge can reflect the requirements of the times
X8(2) Can closely follow the outline and contact the actual; the example is appropriate
X9(3) The classroom atmosphere is enthusiastic; students can actively participate in the whole teaching process

Teaching effectX10(1) Through teaching, students have mastered the theoretical knowledge required by the course and improved their practical ability
X11(2) After teaching, students’ self-learning ability of related majors or subsequent courses has been improved significantly
X12(3) Through teaching, students can discover or solve some problems in the major or the course