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Adoption of mobile technology for mobile learning by university students during COVID-19

机译:Covid-19期间大学生移动技术的移动技术

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Purpose - Due to the eruption of the COVID-19 pandemic, many universities were forced to shift from the traditional learning practices to digital learning. Hence, the purpose of this study is to evaluate the factors that affect the university student's adoption of mobile technologies for mobile learning (m-learning) in their learning process. Design/methodology/approach - Technology acceptance model (TAM) is incorporated to study the adoption of mobile learning by university students. Quantitative research technique is used as core research approach in this study. Structural equation modelling (SEM), which is a part of quantitative research method, was employed on the congregated data via a set of questionnaire from 268 University students. SEM is used to explore the relationships among the hypothesized constructs. SPSS and AMOS software were used for the analysis of data. Findings - This study validated the updated TAM model and assessed the students' adoption of mobile technologies for m-learning during COVID-19. All the constructs of proposed model were found to be significant with more than 50% average variance extracted. It was found that two external constructs mobile system efficacy and mobile service efficacy appended in technology acceptance model show the direct positive effect on perceived usefulness and perceived ease of use constructs. However, hypothesized relationships were found to be unsupported among perceived usefulness and perceived ease of use. Furthermore, perceived usefulness and ease of use during m-learning impact the students' usage attitude which consequently impact the students' adoption behaviour towards adoption of mobile technology. Research limitations/implications - Six constructs were considered for this study; however, mobile information quality for mobile learning was not included which could affect students' adoption criteria. Additionally, this study is limited to a country where future study needs validation of propose constructs in different demographic settings. Originality/value - No study allied to the students' adoption of mobile technology for m-learning has accomplished in the context of India during COVID-19. Furthermore, TAM model has been updated with regard to the students' adoption of mobile learning during COVID-19 in Indian higher education setting.
机译:目的 - 由于Covid-19大流行的爆发,许多大学被迫从传统学习实践转向数字学习。因此,本研究的目的是评估影响大学生通过移动学习(M-Learning)在学习过程中采用移动技术的因素。设计/方法/方法 - 技术验收模型(TAM)被纳入研究大学生通过移动学习。定量研究技术用作本研究中的核心研究方法。结构方程建模(SEM)是一系列来自268名大学生的调查问卷在会众数据上使用的一部分定量研究方法。 SEM用于探索假设构建体之间的关系。 SPSS和AMOS软件用于数据分析。调查结果 - 本研究验证了更新的TAM模型,并评估了Covid-19期间M-Learning的学生对移动技术的采用。发现所提出的模型的所有构建体都是显着的,提取了50%的平均方差。结果发现,在技术验收模型中附加的两个外部结构移动系统功效和移动服务效率展示了对感知有用性和感知使用构建体的直接积极影响。然而,发现假设的关系在感知的有用性和感知的易用性之间不受支持。此外,在M-Learning期间感知有用性和易用性影响学生的使用态度,从而影响学生采用移动技术的采用行为。研究限制/影响 - 考虑了这项研究的六种构建;然而,没有包括移动学习的移动信息质量,这可能影响学生的采用标准。此外,该研究仅限于未来学习需要验证不同人口设置的建议结构的国家。关于Covid-19期间印度的背景下,原创性/价值 - 没有学习M移动技术的研究,在印度的背景下已经在印度的背景下完成了。此外,TAM模型在印度高等教育环境中的Covid-19期间,在Covid-19期间的移动学习方面已经更新。

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