2022
DOI: 10.1007/s12564-022-09761-w
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Predicting disadvantaged smallholder farmers’ intention to take distance learning: evidence from China

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Cited by 1 publication
(2 citation statements)
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“…Patillo et al (2021) demonstrated the efficacy of digital learning of southern Missouri farmers, and they also point out that the traditional extension approach such as one-on-one consulting or farm visits cannot be completely replaced by the online educational programming [ 30 ]. Yang and Yang (2022) found that farmer age, education level, and profits are influence factors of farmers’ interest of distance learning [ 12 ]. To our knowledge, our study is the first report to investigate how farmers’ demographic characteristics affect their interest in different sections of an agricultural MOOC.…”
Section: Discussionmentioning
confidence: 99%
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“…Patillo et al (2021) demonstrated the efficacy of digital learning of southern Missouri farmers, and they also point out that the traditional extension approach such as one-on-one consulting or farm visits cannot be completely replaced by the online educational programming [ 30 ]. Yang and Yang (2022) found that farmer age, education level, and profits are influence factors of farmers’ interest of distance learning [ 12 ]. To our knowledge, our study is the first report to investigate how farmers’ demographic characteristics affect their interest in different sections of an agricultural MOOC.…”
Section: Discussionmentioning
confidence: 99%
“…On-line courses should be one of the ways to solve this problem [ 11 ]. In recent years, due to the COVID-19 pandemic, online training programs have become more popular [ 12 ]. However, the online learning resources for farm training are very scarce now in China.…”
Section: Introductionmentioning
confidence: 99%