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Factors influencing e-learning technology among youth in India: An extended TAM model

By: Sharma, Bhuvanesh Kumar, Kumar, V. V. Ravi and Bhatt, Vimal KamleshKumar.
Material type: materialTypeLabelBookPublisher: Management and Labour Studies Description: 49(3), Aug, 2024: p.504-526.Subject(s): E-learning, Technology acceptance model (ATM) Pre & pandemic, Behavioural intention (BI), Perceived enjoyment (PE), Social influence (SI) In: Management and Labour StudiesSummary: Given the pandemic that hit the world, there was suddenly an increased focus on E-learning. This study aimed at determining the various factors that influence the youth of India to opt for E-learning. This study was conceptualized based on the technology acceptance model and integrating social influence (SI) and perceived enjoyment (PE) as additional constructs to determine the attitude (AT) and behavioural intention (BI) towards E-learning. The study also proposes a basic framework of knowledge for E-learning, a shift from traditional classroom learning, which is not researched adequately in previous literature. The sample for this research study were postgraduate students drawn by non-probability judgment and snowball sampling. Data analysis was performed using structural equation modelling, cross-tabulation and Pearson correlation with the help of SPSS Amos software. The results of the study concluded that AT significantly mediates between perceived usefulness, perceived ease of use, SI, PE, and BI. Additionally, the study determined the classroom and E-learning preferences of students comparatively.- Reproduced https://journals.sagepub.com/doi/full/10.1177/0258042X231208588
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Articles Articles Indian Institute of Public Administration
49(3), Aug, 2024: p.504-526 Available AR133472

Given the pandemic that hit the world, there was suddenly an increased focus on E-learning. This study aimed at determining the various factors that influence the youth of India to opt for E-learning. This study was conceptualized based on the technology acceptance model and integrating social influence (SI) and perceived enjoyment (PE) as additional constructs to determine the attitude (AT) and behavioural intention (BI) towards E-learning. The study also proposes a basic framework of knowledge for E-learning, a shift from traditional classroom learning, which is not researched adequately in previous literature. The sample for this research study were postgraduate students drawn by non-probability judgment and snowball sampling. Data analysis was performed using structural equation modelling, cross-tabulation and Pearson correlation with the help of SPSS Amos software. The results of the study concluded that AT significantly mediates between perceived usefulness, perceived ease of use, SI, PE, and BI. Additionally, the study determined the classroom and E-learning preferences of students comparatively.- Reproduced

https://journals.sagepub.com/doi/full/10.1177/0258042X231208588

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