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学生对数字学习平台行为意向的采纳情况。

Students' adoption towards behavioral intention of digital learning platform.

作者信息

Songkram Noawanit, Chootongchai Suparoek, Osuwan Hathaiphat, Chuppunnarat Yootthana, Songkram Nutthakorn

机构信息

Department of Education Technology and Communication, Faculty of Education, Chulalongkorn University, Bangkok, Thailand.

Learning Innovation for Thai Society (LIfTS) Research Unit, Chulalongkorn University, Bangkok, Thailand.

出版信息

Educ Inf Technol (Dordr). 2023 Feb 22:1-23. doi: 10.1007/s10639-023-11637-4.

Abstract

The purpose of this research was to investigate students' behavioral intentions toward a digital learning platform. In the framework of Thai education, an empirical study evaluated and applied the adoption model. The recommended research model was tested using structural equation modeling with a sample of 1406 students from every part of Thailand. According to the findings, the best facilitator for students' recognition of using digital learning platforms is attitude (ATT), followed by internal factors such as perceived usefulness (PU) and perceived ease of use (PEU). Furthermore, technology self-efficacy (TSE), subjective norms (SN), and facilitating conditions (FC) are peripheral factors that enhance comprehension of a digital learning platform's approval. These results are consistent with past research, with the exception that PU is the only factor that has a negative influence on behavioral intention. Consequently, this study will be useful to academics and researchers by bridging a research gap in the literature review whilst also demonstrating the practical application of an impactful digital learning platform relating to academic accomplishment.

摘要

本研究的目的是调查学生对数字学习平台的行为意向。在泰国教育框架下,一项实证研究对采用模型进行了评估和应用。使用结构方程模型对来自泰国各地的1406名学生样本进行了测试,以检验推荐的研究模型。根据研究结果,学生认可使用数字学习平台的最佳促进因素是态度(ATT),其次是诸如感知有用性(PU)和感知易用性(PEU)等内部因素。此外,技术自我效能感(TSE)、主观规范(SN)和促进条件(FC)是增强对数字学习平台认可理解的外围因素。这些结果与以往研究一致,唯一不同的是PU是对行为意向有负面影响的唯一因素。因此,本研究通过弥合文献综述中的研究空白,同时展示一个与学业成绩相关的有影响力的数字学习平台的实际应用,将对学者和研究人员有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86a8/9944426/cdbee706a494/10639_2023_11637_Fig1_HTML.jpg

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