Factors Influencing Behavioural Intention of Farmers to Use E-Learning Module on Climate-Smart Horticulture in Arunachal Pradesh
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Keywords:Climate-smart horticulture, elearning acceptance model, Technology acceptance model, Structural equation model, e-learning module
The study developed a theoretical model based on the technology acceptance model (TAM)Â called the e-learning acceptance model (ELAM) during 2020. Using structural equationÂ modelling (SEM), farmersâ€™ behavioural intention to use (BIU), an e-learning module on Climate-Smart Horticulture was investigated. The facilitating condition, followed by perceived ease of use, attitude toward e-learning, and self-efficacy, was found to be theÂ most influential predictor of behavioural intention to use an e-learning module by the structural equation model (SEM). The endogenous variable BIU having R2 value of 0.62Â indicated that the exogenous variables viz., FC (Facilitating Condition), PEU (Perceived Ease of Use), ATT (Attitude toward e-learning) and SE (Self-Efficacy) had jointly explainedÂ and predicted 62 per cent of accuracy on BIU in ELAM.
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