研究生使用AIGC工具的行为动机与影响因素：基于问卷调查的实证分析

doi:10.13998/j.cnki.issn1002-1248.24-0716

Abstract

Abstract:

[Purpose/Significance] To explore in depth the acceptance and usage habits of AIGC tools by graduate students in the process of academic research, and to promote the positive attention and application of emerging technologies by graduate students is one of the goals of library knowledge service and information literacy education. This paper aims to reveal the influence mechanism of internal and external factors on the use of AIGC tools by graduate students at the user level, clarify the behavioral motivation of graduate students to use AIGC tools to support learning and research, help libraries to design and promote AIGC services according to the actual situation, and promote the implementation of AIGC technology in knowledge services. [Method/Process] Based on the UTAUT2 model, considering related theories such as perceived value and the characteristics of AIGC tool and graduate student group, this study constructed the influencing factor model of graduate students' AIGC tool use behavior, and provided empirical evidence through questionnaire survey and structural equation model analysis. The survey respondents are graduate students in universities or research institutes. In this study, questionnaires were distributed to graduate students through social media platforms, enterprise Wechat contacts, email, etc., and the survey period was from July to August 2024. After the data collection, statistical software such as SPSS and SmartPLS was used to analyze all the valid data obtained, including descriptive statistics, reliability and validity test and structural equation model analysis. [Results/ [Conclusions] Functional value, use value and emotional value in the tool aspect, individual innovation in individual aspect and social influence in environmental aspect have significant positive effects on graduate students' willingness to use AIGC tools, and indirectly affect their use behavior. Facilitating conditions, such as network equipment, as supporting factors, also have a significant positive impact on graduate students' usage. It is suggested that AIGC tool developers and library service designers consider the functional advantages and convenience. On the one hand, it is suggested that they pay attention to the functional value of the tool, that is, the auxiliary role to the graduate study and scientific research; on the other hand, they consider whether the tool is design-friendly, easy to operate, with low technical threshold and easy to use on an ongoing basis. From a graduate education perspective, it is important to promote the deep integration of the tool use with one's own professional learning and research in order to realize the improvement of other qualities through information literacy. Meanwhile, strengthening students' innovative thinking and comprehensive ability training, and guiding AIGC tool application ability and scientific research thinking to promote each other are conducive to new technologies to truly support learning and scientific research, and ultimately achieve the goal of developing high-level innovative talents.

Key words: AIGC tool, use behavior, graduate student, individual innovation, use willingness, structural equation model, information behavior

CLC Number:

G252

Yijia WAN, Liping GU. Behavioral Motivation and Influencing Factors of Graduate Students Using AIGC Tool: An Empirical Analysis Based on Questionnaire Survey[J].Journal of Library and Information Science in Agriculture, 2024, 36(10): 4-22.

Figures/Tables 12

Fig.1

Table 1

Variable measurements and reference sources"

变量	题项编号	题项表述	参考来源
功能价值	GN1	AIGC工具为我提供了极其丰富且有价值的资源和帮助	VENKATESH等^[37]；ANDREWS等^[50]
	GN2	AIGC工具大大提高了我的学习和科研效率
	GN3	AIGC工具提供了准确、全面、高质量的内容结果
	GN4	对我来说，AIGC工具拥有远超其他工具的功能优势
使用价值	SY1	AIGC工具的界面设计十分友好，语言表述简单易懂	VENKATESH等^[37]；ANDREWS等^[50]
	SY2	AIGC工具的使用操作非常简便，无繁琐步骤
	SY3	AIGC工具的使用方法很容易学习，技术门槛低
	SY4	我能够持续使用AIGC工具获得并保存需要的内容
情感价值	QG1	使用AIGC工具令我有一种时尚感和优越感	MENON等^[18]；KIM等^[52]
	QG2	使用AIGC工具的过程具有娱乐性，令我心情愉悦
	QG3	我对AIGC工具感到好奇，认为AIGC工具新鲜有趣
感知成本	CB1	使用AIGC工具额外增加了我的网络费用，例如购买VPN流量	KIM等^[52]
	CB2	我额外支付了AIGC工具本身的使用费用，例如购买账号
	CB3	使用AIGC工具额外耗费了我的时间和精力
社会影响	SH1	周围很多人都在使用或推荐我使用AIGC工具	VENKATESH等^[37]；ANDREWS等^[50]；张海等^[20]
	SH2	组织机构的态度或要求，支持我使用AIGC工具
	SH3	社交媒体、新闻报道等宣传推送形成了品牌效应，引导我使用AIGC工具
促进条件	CJ1	网络设备等外部条件支持我随时、方便地使用AIGC工具	VENKATESH等^[37]；MENON等^[18]
	CJ2	有大量教学培训以及他人帮助，使我能够解决使用AIGC工具时遇到的困难
	CJ3	我的知识和能力水平足以支持我独立操作、使用AIGC工具
	CJ4	目前已有大量的AIGC工具类产品供我使用
	CJ5	我的工作强度和难度令我不得不使用AIGC工具
感知风险	FX1	我担心AIGC工具提供的帮助并不可靠，例如我对其信息真实性的认知有限	WU等^[17]；MENON等^[18]；张海等^[20]
	FX2	我担心AIGC工具会引发学术诚信、知识产权或信息泄露问题
	FX3	我担心AIGC工具提供的内容在共享时引起争议或不被认可，影响与他人合作
	FX4	我担心对AIGC工具产生依赖，自我思考和学习能力下降，长远来看不利于学习和科研
个体创新性	CX1	我往往较早地发现、关注和尝试新事物	ROGERS^[48]；张海等^[20]
	CX2	我善于捕捉和追赶科技产品和技术方面的潮流趋势
	CX3	我愿意付出时间和精力去学习使用新兴科技产品和技术
行为意愿	YX1	我愿意持续关注AIGC工具	VENKATESH等^[37]；ANDREWS等^[50]；张海等^[20]
	YX2	未来我愿意（继续）使用AIGC工具
	YX3	我很愿意向同学、朋友等推荐AIGC工具
	YX4	我认为AIGC工具应该得到更多的宣传和推广
使用行为	XW1	我正在使用或曾经使用过AIGC工具	VENKATESH等^[37]
	XW2	在学习和科研中我经常使用AIGC工具
	XW3	未来我会持续使用AIGC工具

Table 1

Table 2

Table 3

Table 4

Table 5

Table 6

Table 7

Table 8

Table 9

Fig.2

Table 10

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变量	类别描述	数量/个	比例/%
性别	男	200	38.99
性别	女	313	61.01
年龄	25岁及以下	369	71.93
	26~30岁	127	24.76
	31~35岁	14	2.73
	36岁及以上	3	0.58
培养层次	硕士研究生	386	75.24
培养层次	博士研究生	127	24.76
学科类别	哲学	8	1.56
	经济学	16	3.12
	法学	27	5.26
	教育学	19	3.70
	文学	40	7.80
	历史学	6	1.17
	理学	84	16.37
	工学	110	21.44
	农学	6	1.17
	医学	30	5.85
	管理学	157	30.60
	艺术学	5	0.97
	交叉学科	5	0.97

变量	测度项	平均值	标准差	偏度	峰度
功能价值	GN1	3.87	0.888	-0.775	0.809
	GN2	3.96	0.918	-0.882	0.799
	GN3	3.23	0.917	-0.055	-0.083
	GN4	3.64	0.99	-0.547	-0.093
使用价值	SY1	3.83	0.885	-0.74	0.603
	SY2	3.97	0.887	-1.023	1.35
	SY3	3.9	0.96	-0.937	0.636
	SY4	3.87	0.945	-0.827	0.598
情感价值	QG1	2.66	1.057	0.164	-0.572
	QG2	3.07	1.045	-0.058	-0.55
	QG3	3.83	0.911	-0.806	0.722
感知成本	CB1	3.23	1.31	-0.196	-1.099
	CB2	3.07	1.39	-0.111	-1.285
	CB3	2.56	0.994	0.303	-0.407
社会影响	SH1	3.67	0.978	-0.637	0.117
	SH2	3.09	1.03	-0.23	-0.314
	SH3	3.43	0.996	-0.535	-0.109
促进条件	CJ1	3.56	1.081	-0.764	0.003
	CJ2	3.25	1.096	-0.319	-0.682
	CJ3	3.86	0.926	-0.909	0.854
	CJ4	3.47	1.038	-0.455	-0.354
感知风险	FX1	3.96	0.96	-0.969	0.898
	FX2	3.99	0.946	-1.006	0.909
	FX3	3.68	0.994	-0.578	-0.106
	FX4	3.63	1.164	-0.611	-0.49
个体创新性	CX1	3.55	0.955	-0.351	-0.178
	CX2	3.49	0.978	-0.285	-0.392
	CX3	3.98	0.847	-0.845	0.868
行为意愿	YX1	4.29	0.716	-1.01	1.902
	YX2	4.31	0.722	-1.035	1.663
	YX3	4.09	0.838	-0.678	-0.031
	YX4	3.98	0.881	-0.504	-0.279
使用行为	XW1	4.19	1.029	-1.549	1.998
	XW2	3.69	1.157	-0.656	-0.409
	XW3	4.22	0.807	-1.056	1.381

变量	测度项	修正后的项与总计相关性	删除项后的克隆巴赫 Alpha	整体克隆巴赫 Alpha
功能价值	GN1	0.753	0.788	0.853
	GN2	0.75	0.788
	GN3	0.594	0.853
	GN4	0.685	0.817
使用价值	SY1	0.722	0.828	0.867
	SY2	0.788	0.802
	SY3	0.715	0.831
	SY4	0.649	0.857
情感价值	QG1	0.559	0.656	0.737
	QG2	0.642	0.549
	QG3	0.493	0.727
感知成本	CB1	0.558	0.452	0.665
	CB2	0.53	0.499
	CB3	0.373	0.695
社会影响	SH1	0.518	0.537	0.673
	SH2	0.484	0.581
	SH3	0.456	0.616
促进条件	CJ1	0.563	0.695	0.757
	CJ2	0.541	0.708
	CJ3	0.573	0.693
	CJ4	0.545	0.704
感知风险	FX1	0.414	0.737	0.736
	FX2	0.638	0.618
	FX3	0.636	0.614
	FX4	0.456	0.729
个体创新性	CX1	0.761	0.763	0.855
	CX2	0.802	0.722
	CX3	0.631	0.881
行为意愿	YX1	0.699	0.842	0.868
	YX2	0.784	0.81
	YX3	0.796	0.8
	YX4	0.632	0.874
使用行为	XW1	0.768	0.812	0.874
	XW2	0.808	0.789
	XW3	0.75	0.852

KMO取样适切性量数		0.931
巴特利特球形度检验	近似卡方	11 432.607
	自由度	741
	显著性	.000***

成分	初始特征值			旋转载荷平方和
成分	总计	方差百分比	累积%	总计	方差百分比	累积%
1	10.88	32.001	32.001	3.455	10.163	10.163
2	2.493	7.334	39.334	3.306	9.724	19.887
3	2.1	6.178	45.512	3.043	8.95	28.837
4	1.756	5.166	50.678	2.603	7.656	36.493
5	1.569	4.614	55.292	2.308	6.789	43.282
6	1.48	4.353	59.645	2.176	6.401	49.682
7	1.361	4.004	63.649	2.161	6.355	56.037
8	1.116	3.282	66.931	1.988	5.846	61.884
9	0.845	2.486	69.417	1.724	5.071	66.955
10	0.812	2.389	71.806	1.649	4.851	71.806
11	0.715	2.104	73.91
12	0.656	1.929	75.84
13	0.625	1.837	77.677
14	0.603	1.774	79.451
15	0.586	1.725	81.175
16	0.554	1.628	82.804
17	0.499	1.467	84.271
18	0.48	1.412	85.682
19	0.464	1.366	87.048
20	0.425	1.251	88.299
21	0.417	1.226	89.525
22	0.389	1.145	90.67
23	0.377	1.109	91.778
24	0.346	1.017	92.795
25	0.342	1.006	93.801
26	0.294	0.865	94.666
27	0.289	0.851	95.517
28	0.274	0.806	96.323
29	0.246	0.724	97.047
30	0.239	0.704	97.751
31	0.223	0.657	98.408
32	0.198	0.582	98.99
33	0.183	0.538	99.528
34	0.161	0.472	100

Behavioral Motivation and Influencing Factors of Graduate Students Using AIGC Tool: An Empirical Analysis Based on Questionnaire Survey

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变量	题项	标准化因子载荷	CR	AVE
功能价值	GN1	0.889	0.900	0.694
	GN2	0.891
	GN3	0.712
	GN4	0.828
使用价值	SY1	0.839	0.909	0.713
	SY2	0.878
	SY3	0.818
	SY4	0.841
情感价值	QG1	0.742	0.843	0.642
	QG2	0.797
	QG3	0.860
感知成本	CB1	0.842	0.866	0.764
感知成本	CB2	0.906	0.866	0.764
社会影响	SH1	0.864	0.817	0.600
	SH2	0.748
	SH3	0.703
促进条件	CJ1	0.748	0.846	0.578
	CJ2	0.724
	CJ3	0.818
	CJ4	0.749
感知风险	FX1	0.661	0.843	0.646
	FX2	0.918
	FX3	0.811
个体创新性	CX1	0.871	0.910	0.771
	CX2	0.900
	CX3	0.863
行为意愿	YX1	0.846	0.914	0.727
	YX2	0.898
	YX3	0.898
	YX4	0.760
使用行为	XW1	0.888	0.928	0.810
	XW2	0.918
	XW3	0.895

项目	CB	CJ	CX	FX	GN	QG	SH	SY	XW	YX
CB	0.874
CJ	0.168	0.761
CX	0.199	0.445	0.878
FX	0.169	0.160	0.052	0.804
GN	0.282	0.528	0.396	0.047	0.833
QG	0.210	0.378	0.368	0.089	0.460	0.801
SH	0.230	0.553	0.218	0.148	0.462	0.281	0.775
SY	0.148	0.560	0.314	0.080	0.693	0.402	0.462	0.844
XW	0.267	0.525	0.411	0.083	0.646	0.342	0.474	0.606	0.900
YX	0.241	0.508	0.460	0.075	0.557	0.417	0.459	0.512	0.705	0.852

假设内容	项目路径	路径系数	T值	P值	结果
H1：研究生对AIGC工具功能价值的认识将正向影响其对AIGC工具的行为意愿	GN -> YX	0.198	3.642	0.000	支持
H2：研究生对AIGC工具使用价值的认识将正向影响其对AIGC工具的行为意愿	SY -> YX	0.155	3.067	0.002	支持
H3：研究生对AIGC工具情感价值的认识将正向影响其对AIGC工具的行为意愿	QG -> YX	0.110	2.415	0.016	支持
H4：研究生对AIGC工具的感知成本将负向影响其对AIGC工具的行为意愿	CB -> YX	0.046	1.305	0.192	不支持
H5：社会影响将正向影响研究生对AIGC工具的行为意愿	SH -> YX	0.203	4.514	0.000	支持
H6：研究生的个体创新性将正向影响其对AIGC工具的行为意愿	CX -> YX	0.239	6.558	0.000	支持
H7：研究生对AIGC工具的感知风险将负向影响其对AIGC工具的行为意愿	FX -> YX	-0.007	0.166	0.868	不支持
H8：促进条件将正向影响研究生对AIGC工具的使用行为	CJ -> XW	0.226	4.837	0.000	支持
H9：研究生对AIGC工具的行为意愿将正向影响其对AIGC工具的使用行为	YX -> XW	0.590	14.476	0.000	支持

项目路径	路径系数	T值	P值	中介效果
CX -> YX -> XW	0.141	5.87	0.000	存在
FX -> YX -> XW	-0.004	0.165	0.869	不存在
GN -> YX -> XW	0.117	3.439	0.001	存在
QG -> YX -> XW	0.065	2.4	0.016	存在
SH -> YX -> XW	0.12	4.328	0.000	存在
SY -> YX -> XW	0.092	2.861	0.004	存在
CB -> YX -> XW	0.027	1.283	0.200	不存在

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