Digital Climate Education Module Validation and Effectiveness for Farmers in India

A 2026 study by Sudip Kumar Gorai validated and evaluated an e-learning module for farmers in flood- and cyclone-prone regions of Assam and Odisha. The module was developed using the ADDIE instructional design model and assessed using a pre-test/post-test design with 78 farmers. Results showed significant knowledge improvements with high reliability scores for the assessment tool.

Use Cases

• Evaluate the effectiveness of digital education interventions based on pre-test/post-test knowledge scores.
• Design instructional content for climate resilience based on expert-validated module components.
• Assess learning outcomes in vulnerable agricultural communities based on normalized learning gain metrics.
• Develop scalable digital extension tools based on the study's multimedia-based e-learning approach.

Strengths

• The knowledge test demonstrated strong reliability with a Cronbach’s α of 0.857.
• The module received high expert ratings across content, format, presentation, and usefulness.
• Significant knowledge improvements were observed with p < 0.001 and substantial mean gains.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 14.5 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Data collected via structured expert validation and a pre-test/post-test design with farmers.

Freshness

Last updated 2026-05-12 05:42:41; freshness should be verified.

Geography

Flood- and cyclone-prone regions of Assam and Odisha, India.