Predicting the intention to use an e-learning module on climate-smart horticulture

被引:1
|
作者
Koyu, Bai [1 ]
Singh, Rajumar Josmee [2 ]
机构
[1] Rajiv Gandhi Univ, Fac Agr Sci, Rono Hills, Doimukh 791112, India
[2] Cent Agr Univ Imphal, Coll Post Grad Studies Agr Sci, Umiam 793103, India
来源
CURRENT SCIENCE | 2024年 / 126卷 / 04期
关键词
Agro-advisory services; climate-smart appro- ach; e-learning module; farmers' intention; horticulture; information and communication technology; TECHNOLOGY ACCEPTANCE MODEL; STUDENTS BEHAVIORAL INTENTION; PRESERVICE TEACHERS; FACILITATING CONDITIONS; MATHEMATICS; EDUCATION; COURSES;
D O I
10.18520/cs/v126/i4/478-485
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The recent surge of information and communication technologies (ICTs) has changed nearly every business, including horticulture. Farmers can use climate information and ICT-based agro-advisory services to help them make seasonal decisions, technology choices and marketing strategies. Such drastic changes are upending traditional horticultural practices, and introducing a plethora of new opportunities and challenges. This study aimed to identify the factors influencing farmers' intention to use an e-learning module. The study included 137 respondents from two districts in Arunachal Pradesh, North East India. The technology acceptance model was used as a basis for the study. Dijkstra-Henseler's extracted and Heterotrait-Monotrait ratio of correlations were used to assess the reliability and validity of scale. ADANCO software was used to perform PLS-SEM, which showed that facilitating conditions and subjective norms had a significant positive effect on the intention to use an e-learning module. The proposed model had a good fit.
引用
收藏
页码:478 / 485
页数:8
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