Factors Influencing Behavioural Intention of Farmers to Use E-Learning Module on Climate-Smart Horticulture in Arunachal Pradesh

Indian Journal of Extension Education
Year: 2021 (OCt-Dec), Volume: (57), Issue. (4)
First page: (40) Last page: (43)
Online ISSN: 2454-552X
Print ISSN: 0537- 1996
doi: 10.48165/IJEE.2021.57409

Factors Influencing Behavioural Intention of Farmers to Use E-Learning Module on Climate-Smart Horticulture in Arunachal Pradesh

Bai Koyu1*, Rajkumar Josmee Singh2 and Ram Singh3 

1Faculty of Agricultural Sciences, RGU, Rono Hills, Doimukh, Arunachal Pradesh 
2Assistant Professor, 3Professor & Head, SSS, CPGS-AS, CAU (I), Umiam, Meghalaya

Corresponding Author: Bai Koyu
Email: bai.koyu07@gmail.com

Received:
15-04-2021

Accepted:
 19-08-2021

Online Published:
15-09-2021

How to cite the Article

Koyu, B., Singh, R. J., & Singh, R. (2021). Factors Influencing Behavioural Intention of Farmers to Use E-Learning Module on Climate-Smart Horticulture in Arunachal Pradesh. Indian Journal of Extension Education, 57(4), 40–43. https://doi.org/10.48165/IJEE.2021.57409 Cite
Koyu, Bai, et al. “Factors Influencing Behavioural Intention of Farmers to Use E-Learning Module on Climate-Smart Horticulture in Arunachal Pradesh.” Indian Journal of Extension Education, vol. 57, no. 4, 2021, pp. 40–43, http://doi.org/10.48165/IJEE.2021.57409. Cite
1.
Koyu B, Singh RJ, Singh R. Factors Influencing Behavioural Intention of Farmers to Use E-Learning Module on Climate-Smart Horticulture in Arunachal Pradesh. IJEE. 2021;57(4):40‑3. DOI: 10.48165/IJEE.2021.57409 Cite
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ABSTRACT

The study developed a theoretical model based on the technology acceptance model (TAM) called the e-learning acceptance model (ELAM) during 2020. Using structural equation modelling (SEM), farmers’ 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 the 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 0.62 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 explained and predicted 62 per cent of accuracy on BIU in ELAM.

Keywords

Climate-smart horticulture, e learning acceptance model, Technology acceptance model, Structural equation model, e-learning module