1SSS, College of Post Graduate Studies in Agricultural Sciences, Central Agricultural University (I), Umiam-793 103, Meghalaya, India
2Faculty of Agricultural Sciences, Rajiv Gandhi University, Doimukh-791 112, Arunachal Pradesh, India
*Corresponding Author: Bai Koyu, Faculty of Agricultural Sciences, Rajiv Gandhi University, Doimukh-791 112, Arunachal Pradesh, India, Email: bai.koyu07@gmail.com
Online published on 24 June, 2025.
E-learning is now being used in a variety of industries, including agriculture. The use of information and communication technologies (ICTs) is seen as essential for overcoming the barriers that a developing country faces in all areas and closing the digital divide. Farmers must be prepared with the most recent breakthroughs in ICTs in order to take advantage of new opportunities in the global market.
By designing an e-learning module and providing farmers with a self-learning framework, the study focuses on the use of ICT instruments in climate-smart horticulture. The psychological factors in this study were investigated using the E-Learning Acceptance Model (ELAM), which was derived from the Technology Acceptance Model (TAM). A quantitative survey of 200 farmers were conducted. Structural equation modelling (SEM) was used to test the research hypotheses.
ELAM has enough predictive ability to explain farmers’ behavioural intention to utilise an e-learning module in a real world. In total, the result supports five ELAM hypotheses. The SEM findings indicate that ELAM is a valid model. In ELAM, partial mediation was also observed.
Climate-smart horticulture, E-learning acceptance model, E-learning module, Structural equation modeling, Trchnology acceptance model
