A regression analysis study on the cognitive change pattern of digital art display on college students’ thought leadership process

DW inspection identification table

DW Value	Inspection result
4 − dL < DW < 4	Negative autocorrelation occurs when the hypothesis is negated
0 < DW < dL	Negative hypothesis, positive autocorrelation
dU < DW < 4 − dU	Accept the assumption that there is no autocorrelation
dL < DW < dU	Test inconclusive
4 − dU < DW < 4 − dL	Test inconclusive

Comparison of cognitive effectiveness of students with different total scores

Total points		Significance	Mean value	Standard deviation
Over 80 points	60 to 80 points	0.035	4.236	0.5623
	Below 60 points	0.000
60 to 80 points	Over 80 points	0.035	3.821	0.6897
	Below 60 points	0.006
Below 60 points	Over 80 points	0.000	3.334	0.8452
	60 to 80 points	0.006

Correlation matrix of each influencing factor and the total influencing factor

	Show content richness	Diversified forms of presentation	High student engagement	Total schedule
Show content richness	0.725**	0.533**	—	0.897**
Diversified forms of presentation	0.546**	—		0.887*
High student engagement	—			0.735*

Score table of each influencing factor

Element	Mean value	Standard deviation	Mode
Show content richness	3.1848	1.00852	5
Diversified forms of presentation	3.8667	0.89045	5
High student engagement	4.7756	0.68256	6

Basic composition of sample

		Frequency(N)	one hundred percent(%)
Gender	Male	796	55.94%
	Female	627	44.06%
Grade	Fresh year	607	42.66%
	Sophomore Year	475	33.38%
	Junior Year	289	20.31%
	Senior Year	52	3.65%
Major	Literature and history	257	18.06%
	Science and engineering	753	52.92%
	Economics and management	302	21.22%
	Art	73	5.13%
	Else	38	2.67%
Nation	the Han nationality	1146	80.54%
	minority	277	19.46%
Politics status	member of Communist Party of China	326	22.91%
	League member	829	58.25%
	the masses	268	18.83%
Score(100 points)	Over 80 points	640	44.98%
	60 to 80 points	489	34.36%
	Below 60 points	294	20.66%

Regression analysis of path optimization

Influence factor	Unnormalized coefficient		Standardization coefficient	t	significance
	B	standard error	Beta
(constant)					0.011
Show content richness	0.144	0.051	0.085	2.356	0.008
Diversified forms of presentation	0.318	0.063	0.042	2.567	0.075
High student engagement	0.467	0.162	0.154	1.896	0.021

The ideological and political cognition level of students of different majors

Major		Significance	Mean value	Standard deviation
Literature and history	Science and engineering	0.000	4.236	0.5138
	Economics and management	0.012
	Art	0.000
	Else	0.005
Science and engineering	Literature and history	0.000	3.025	0.8117
	Economics and management	0.002
	Art	0.012
	Else	0.003
Economics and management	Literature and history	0.012	4.119	0.5953
	Science and engineering	0.002
	Art	0.000
	Else	0.002
Art	Literature and history	0.000	3.528	0.6064
	Science and engineering	0.012
	Economics and management	0.000
	Else	0.002
Else	Literature and history	0.005	3.896	0.6678
	Science and engineering	0.003
	Economics and management	0.002
	Art	0.002