<?xml version="1.0" encoding="UTF-8"?><article>
  <title>Analyzing Online Training Effectiveness: Kirkpatrick&#8217;s Model-Inspired Approach for up-scaling mushroom enterprise for Sustainable rural development</title>

      <doi>https://doi.org/10.21276/AATCCReview.2024.12.04.510</doi>
  
  <authors>
      </authors>

      <abstract><![CDATA[<p>Bihar is leading in mushroom production at the national level with a total production of 33500 ton.<br />
This off-farm agro-enterprise is gaining popularity owing to its wider acceptability amongst<br />
growers and consumers as well. Since times, training for farmers has been accepted as a crucial<br />
component of capacity building. To improve the effectiveness of online training programme has<br />
become a greater challenge for us.This article uses the Kirkpatrick evaluation model to measure the<br />
effectiveness of online training programs received by heterogeneous farmer respondents for<br />
mushroom farming. The study is based on four levels —Reaction, learning, behaviour and result.<br />
The reasons for receiving training and barriers to receiving training are being highlighted and<br />
computed with responses directly received from the trainees. Based on the original findings, a<br />
result-oriented modified training evaluation model “FUNNEL Model” has been designed for<br />
enhancing the training efficiency at the farmer level. The proposed model is based on specific<br />
determinants. Application of such a model while designing online training programmes will<br />
definitely improve the performance of trainers and trainees as well and innovation in digital<br />
agriculture catalyzing growth in agriculture and allied sectors can be realized.</p>
]]></abstract>
  
  <body><![CDATA[<div class="aatcc-article-container"><div class="aatcc-category-label">Original Research Article</div><div class="aatcc-meta-box"><div class="aatcc-doi-wrap">
            <a class="aatcc-doi-btn" href="https://doi.org/10.21276/AATCCReview.2024.12.04.510" target="_blank">https://doi.org/10.21276/AATCCReview.2024.12.04.510</a>
        </div><div class="aatcc-abstract-section">
                <h3>Abstract</h3>
                <div class="aatcc-abstract-text"><p>Bihar is leading in mushroom production at the national level with a total production of 33500 ton.<br />
This off-farm agro-enterprise is gaining popularity owing to its wider acceptability amongst<br />
growers and consumers as well. Since times, training for farmers has been accepted as a crucial<br />
component of capacity building. To improve the effectiveness of online training programme has<br />
become a greater challenge for us.This article uses the Kirkpatrick evaluation model to measure the<br />
effectiveness of online training programs received by heterogeneous farmer respondents for<br />
mushroom farming. The study is based on four levels —Reaction, learning, behaviour and result.<br />
The reasons for receiving training and barriers to receiving training are being highlighted and<br />
computed with responses directly received from the trainees. Based on the original findings, a<br />
result-oriented modified training evaluation model “FUNNEL Model” has been designed for<br />
enhancing the training efficiency at the farmer level. The proposed model is based on specific<br />
determinants. Application of such a model while designing online training programmes will<br />
definitely improve the performance of trainers and trainees as well and innovation in digital<br />
agriculture catalyzing growth in agriculture and allied sectors can be realized.</p>
</div>
            </div><div class="aatcc-pdf-wrap">
            <a class="aatcc-pdf-btn" href="https://aatcc.peerjournals.net/wp-content/uploads/2024/12/Analyzing-Online-Training-Effectiveness-Kirkpatricks-Model-Inspired-Approach-for-up-scaling-mushroom-enterprise-for-Sustainable-rural-development.pdf" target="_blank">View / Download PDF</a>
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</article>
