Piano Information Teaching Mode Based on Deep Learning Algorithm

Table 3

Weight value of each index of piano informatization classroom teaching quality evaluation.

Primary index	Weight	Secondary index	Weight
Teacher H1	0.3324	Informatization teaching design ability H11	0.2406
		Information technology curriculum integration ability H12	0.2258
		Creating problem situations and teacher-student interaction H13	0.1624
		Encourage students to express and discuss h14 freely	0.3712
Student H2	0.2179	Learning interest and enthusiasm H21	0.2896
		Learning resource utilization H22	0.3014
		Learning interaction H23	0.1952
		Learning style H24	0.2138
Teaching content H3	0.1596	Combination of cutting-edge and professional content H31	0.5000
		Content organization and media combination H32	0.5000
Teaching effect H4	0.1324	Students’ mastery of course concepts and principles H41	0.5000
		Students’ ability to analyze problems H42	0.5000
Informatization construction H5	0.1577	Computer configuration scale h51	0.2986
		Network bandwidth H52	0.3126
		Software construction h53	0.3888